The man is hailed as a brilliant nerd in our circles. I didn't realize he's a great public speaker. He really read the room.
The "McKenzie"-style lady and Schmidt from Google (who really seemed to resent the pushback and chided graduates), can go to hell. I'm happy that someone is telling the young people who are likely to suffer because of this tech that they matter. I can't imagine how much angst much exist after taking on debt to get an education and then this is the job market.
A bit off topic, but about commencement speeches...
Marvin Minsky spoke at my graduation. It was around the time when it seemed like genetic therapies might solve all kinds of problems, and there was a big debate, moral objections, etc.
Most of the talk was a rambling rant against religion holding us back from scientific improvements to life. It did not go over in the mostly christian crowd. I loved it.
I saw him give a graduation speech over twenty years ago, and to be honest, he was not a great public speaker then--he rambled and lost the plot. But twenty years is a long time, so he may be amazing now! I love the quote.
Anecdata, but of the clips I've seen going around from Woz's speech, there were quite a few comments from people who claimed to have been there for the whole ceremony, most of which said that he was rambling and all over the place lol. Not bad necessarily, just that they felt like he wasn't really all that engaging, they were bored out of their minds, and some barely even knew who he was. Again, internet comments, so take that for what it is, just tossing my own pointless internet comment into the mix!
I've only been to the low tens of graduations, but in my experience this is pretty common for a speaker. A couple highlights and otherwise a little boring :)
Now of course, there are exemplary speakers who keep you engaged the whole time, but they're rare.
In my case, I was not even graduating, I just heard that Woz was speaking and decided to attend. I don't regret attending, as I managed to get a picture with Woz after the ceremony and thank him for his amazing work, but the speech itself was extremely forgettable.
I also saw video of some school president being booed so badly that he never actually gave the speech, while some other admin had to come hold his hand and yell at the tuition paying students.
Would you prefer the harsh unpopular truth of Erich Schmidt, or a sweet (unintentional)lie of Wozniak?
Because a lot of resentment people have later in life for career choices and failures in their adulthood are based on advice from their youth given from out of touch councilors and boomers who told them them sweet lies like "you can be anything you want to be if you just work hard and apply yourselves, the world is your oyster, etc", which turned out to be BS once their rubber hits the brutal road of the present day competitive jobs market, and the way the government backed system rewards asset ownership over labor, meaning a wrong choice here makes the difference between a homeowner or not.
The housing and tech jobs market today isn't the one Woz had in the 1970s in the bay area. There's a big chance his way of thinking that got him to be the cofounder and CTO of Apple back then would get him chewed out and spit out in the jobs market of today, just like how famous FOSS devs of tools that Google use internally couldn't even get past the resume screen at Google to get an interview. Same how I love my parents and they love me, but their out of touch career and life advice did more harm than good to me, even if that's not what they intended. Just like Woz, they're not malicious, but the world is much harsher today and moves faster than what older people who had it easier in their day can comprehend, so you have to take their advice with a generous portion of salt.
Ultimately just like councilors and boomers, it costs Woz nothing to BS young people with speeches filled with idealistic hopes and dreams that sound good and get cheers, since his set for life financially, only doing computing today as a hobby for fun, but he's not gonna be the one sending resumes looking for jobs based on his own advice, dealing with 7 stage interviews, and then wondering why he's getting rejections and how he's gonna afford rent.
As a Embedded programmer and HW tinkerer, I hate Schmidt and I like Woz, as people I mean, but I'd rather base my important life choices that affect my ability to get a job and pay rent on harsh truths from successful business sharks that I hate, rather than nice sounding but broken fallacies from people I respect. I'm old enough to have lived through this once, and if I were to have the chance to go back and try again, I definitely would pick the other side this time simply based on the fact that the people who did pick the ugly pragmatic side rather than the idealistic side, pulled out ahead, and they always will because that's what the world rewards.
>Would you prefer the harsh unpopular truth of Erich Schmidt, or a sweet lie of Wozniak?
What Erich Schmidt is doing is not about describing hard reality. He is trying to make a particular version of the future come true by painting it as inevitable. It's literally a propaganda technique.
"The future is already here—it’s just not very evenly distributed."
AI has made my life so much easier. If I need to change non-standard lightbulbs (e.g., G9, MR11, A19), I'm taking a picture and asking my AI what kind are they. If I need to create the first pass of test scripts, I ask my AI. It's reduced technical debt and let me focus on the things I care about.
I imagine how you intended your comment to come across and I get it to some level. But I can't help to feel that there's something a bit dystopian in a world where all friction is removed just to more quickly get to the juicy bits.
AI may have reduced your immediate technical burden.
However AI, if not carefully used, increases technical debt because it builds up a vast heap of code and business logic that nobody understands. The agent that created it forgets about it once it's out of its context window, the programmer that scripted it just knows it passed some tests.
In two, five, ten years from now trying to maintain that vibe-coded slop will be a battle between various agents making conflicting changes and some poor human trying to get it into a shippable state.
You are completely right that AI can be misused/abused. If done right it can fix things like code bases that were created by multiple people and groups each with their own conventions. Before I had to know which group did what to know the variables. Claude fixed that.
There used to be pushback to have 100% test coverage. If you don't have that, then you can't merge. AI can write the tests but a programmer must own them.
The G9 was completely new to me. Sure I could try to figure it, but I'd rather be focusing on the things I care about. This is the thing that I'd historically procrastinate.
To quote Adam Grant, "Procrastination is an emotional management problem not a time management problem"
"AI has had a limited improvement over my life, so I'm happy fucking over the rest of the world by polluting water, using huge amounts of energy, and reinforcing class hierarchies, just so that I can change a lightbulb a bit easier" is peak tech-bro
I agree Woz is a sweet lie how everyone is unique and a snowflake. But regarding "you can be anything you want to be if you just work hard and apply yourselves, the world is your oyster, etc", I think the problem is the work hard part.
Plenty of people have the wrong dreams, like being an influencer, but how many actually work hard. Like spend 60 hours a week analyzing youtube videos to find the perfect thumbnail or spend time learning every aspect of production from design, lighting, pacing and everything in between. Probably not a lot. And chances are if you do spend the time (on even a vapid dream like being an influencer), you'd do pretty well and learn a very valuable set of skills.
My experience is the bar is pretty low. It's hard enough to find someone that's competent in their field of expertise and is easy to work with. A lot of people are just missing the basics. They don't put in the work or are willing to take instruction.
A lot of people work extremely hard towards their dream to fail. Which is fine, but when you start out life being told if you just keep trying and it'll happen then it can quickly destroy the golden years of your career/life. This is often varying per goals too. Just because you love football does not mean you're going to be able to be a pro player just because you spent every hour on it. You're probably better off e joying football, doing enough to get a scholarship, and finding something else to build your life goals around.
If you want to take yourself from where you are to the best chances at your dream, work as hard as you can towards it. But it's also more than fine if you don't want to take that risk, you can often have a perfectly good life without working yourself to death on the promise it'll make your dreams come true if you do.
> how famous FOSS devs of tools that Google use internally couldn't even get past the resume screen at Google to get an interview
As a former Googler, Homebrew was not ever officially supported at Google, or even particularly recommended, particularly because you were not allowed to store source code on your laptop anyway. Homebrew was definitely not used in any production-critical workflow. It's more accurate to say that some Googlers used Homebrew (I myself used Macports and never encountered any additional friction). Homebrew at that time was also unsuited to anything like Google's scale, so it's no surprise the author didn't get any brownie points for it.
Truth is the wrong word for a future outcome. But…
Weren’t Schmidt’s comments on AI the harsh “truth” from the perspective of someone who directly benefits from the wealth extraction capabilities of AI?
It’s not the only possible truth. And definitely not the one I’m rooting for personally. That’s what you are hearing from the audience of graduates who are probably quite fearful of their future and also prefer another possible truth.
I can't upvote this enough. As has been attributed to the Roman stoic Seneca: “An enemy is a bad witness to your merits, but a good one to your defects.”
Up until the reality of the technology doesn’t align to the expectations and promises. That’s when true belief shifts to hype and lies in an effort to salvage the investment. I think that’s where we’re at now.
For people like Schmidt I think the hype is a true belief. You can see it in his posture and tone while being booed by the entire crowd. I’ve only seen that kind of self-satisfied smugness from evangelical religious nuts right before they tell someone they clearly regard with disgust that they’ll “pray for them.”
Their view of what AI promises is some kind of secular eschatological fantasy that’s only partly rooted in anything the technology or methods do.
Yea, it's the smug grins from these guys that I can't stand. It's not enough that they won and they know they won, but they have to rub everyone else's noses in it, too.
Eric Schmidt has no clearer a crystal ball than Woz has; to say one is telling the truth while the other is lying is not particularly objective of you.
It's a massive long shot pipe dream, but we might somehow end up with legislators who have backbones and actually represent the people, and they'll enact regulation to reign in the applications of AI, provide a safety net for the millions who will be affected by it, and/or at least find a way to spread the prosperity that comes from AI across the population rather than into the hands of the few. I'm not betting on it, but it theoretically could happen.
> Or that a competitive startup won't lean on AI to get ahead?
Specifically, with the way both economy and politics is structured, everything will be about big corporations with centralized power. A competitive startup leaning on AI getting ahead will be either destroyed or bought.
>The world doesn't hold hands with anyone, there is no global consensus, no policy.
It is totally holding hands and helping out - to Schmidts, Trumps, Musks, Epsteins. Just not to poorer people.
> Do you think AI will go away and suddenly businesses will start hiring people back?
In fact, with well run economy that systematically prevents monopolies, yes it tends to hire people no matter what technological level. Currents state where few super powerful companies are able to push themselves into everything and create monopolies via dumping prices, even as they are not profitable and can count on their friends in administration to bail them out once if all goes pop is the ineffective economy.
The economy looked really good before the dotcom crash too. The crash didn’t make the internet go away, but it damped the hype and blind, unchecked optimism that was leading to some rather short-sighted decisions.
Right now so many companies are trying to use AI just to use AI, rather than using it when and where it actually makes sense. This is the big thing that drives me, and I think many others, a bit crazy. I don’t expect a bubble pop to make us go back in time to 2022, but I expect it will put an end these the AI mandates, token maxing, and other foolish behavior.
> The crash didn’t make the internet go away, but it damped the hype and blind, unchecked optimism that was leading to some rather short-sighted decisions.
The crash did not make the internet go away. I don't foresee a world where we will go back to the pre-AI times either. In the same way that post dotcom crash, you would be a fool to not have your business online, I think we will find similar things to be the case around AI. Even if the bubble bursts AI is here to stay and that will have major consequences for labor.
The irony of the dotcom crash is that a lot of 'dark fiber' service started rolling out decades later. Fiber that was laid during the dotcom era.
There are lots of datacenters going up in similar fashion. I don't know if they'd have the same utility decades later (very unlikely), but it's interesting.
Schmidt took Google to the moon financially, speareding projects like Chrome and Android that cemented Google as THE tech titan(couch monopoly cough), whereas Woz was a top HW engineer of his time, but Apple would have quickly failed if he was at the helm calling the shots, instead of Jobs.
From which would you take advice, the successful entrepreneur/investor, or the nice hacker geek who was a one trick pony with the Apple computer but hasn't been in touch with the tech economy and jobs market for decades?
> From which would you take advice, the successful entrepreneur/investor, or the nice hacker geek [?]
The nice hacker geek? By the way, the Woz has a net-worth of 140MM, so he's more wealthy that the vast majority of "successful entrepreneur/investors", and also vastly more beloved than virtually all of them.
In any case, that's a false dichotomy and actually the wrong question entirely.
Woz should have a lot more money than that for being such a large early shareholder of Apple, so that actually speaks poorly to his reputation as a "successful entrepreneur/investor". Some of the reason why his net worth is below expectations is noble (giving $10m of shares to early employees), but most of it is not - 4 marriages as opposed to Steve Jobs' 1 marriage, an impractical attitude in general, and never having any success after Apple, even as an investor.
>By the way, the Woz has a net-worth of 140MM, so he's more wealthy that the vast majority of "successful entrepreneur/investors",
So are a lot of people who invested(gambled) early in Bitcoin and Tesla, that doesn't mean people should take career advice from them just because they managed to make a lot of money.
But if you design and developed several successful tech products in your career, I think people should at least listen because it's a pattern rather than just luck.
>and also vastly more beloved than virtually all of them
So is Taylor Swift, that doesn't mean people should take career advice from her.
When I look for people to take advice from I want to see a pattern of home runs, that they can deliver successful products repeatedly, like Erich Schmidt or Steve Jobs, not one trick ponies like Woz who managed to get lucky once in a completely different era, then coast the next 50+ years on past glory giving speeches.
Again, I really like Woz as a person, he's my spirit animal, but that doesn't mean he's correct and in tune on the status of the tech market, the challenges people and entrepreneurs will face today. His experience being a HW tinkerer in his garage in the 1970's isn't relevant anymore today. The world has changed massively since then.
A more modern day woz would be Palmer Luckey of Anduril. Love him or hate him he's more up to date on what the industry rewards today if you want to be a garage tinkerer made billionaire entrepreneur founder than Woz.
Funny thing about Steve Jobs is that he actually didn’t deliver a single home run until his return to Apple late in his career.
The Apple II was Woz, the Mac was okay but mostly got shepherded into what it was by the other Apple leadership, the Lisa was a flop, Pixar he was an investor but was mostly Lasseter’s baby, NeXt went nowhere until the Apple acquisition.
The guy had somehow managed to make a successful career out of shipping very opinionated, interesting, and cool products that were commercial failures. If you were going purely by commercial performance you would not have picked him, you’d be picking him based on that ineffable reality distortion field of his that makes you BELIEVE everything he’s doing will change the world.
Did you forget Pixar? Jobs transformed the company with his extremely bold bet on Toy Story. They were doomed to obscurity without this big bet and now all children's movies are made this way.
OK, and who's stopping you? Take your advice from whoever you want.
History tends to shows the pragmatists wiping out the luddites out of the gene pool/business market, but you are free to make your choice the way you see fit, nobody is forcing you to follow anyone.
Wozniak, every time. Gigantic financial success at the expense of everything Google has negatively impacted isn't something I would be proud of.
Everyone defines success differently, and Schmidt's "success" is, frankly, unappealing and gross to myself and, I'm sure, many others.
There's a lot more to life and the world than the economy and massive financial gains. Focusing on "economic, market and product results" yet mentioning nothing about the impact to people and customers is how Zuckerberg sleeps at night, and that's ugly to me.
I'm fairly allergic to advice in general, but if I were to take some, I'd take it from the happy extremely rich guy over the ridiculous ultra rich guy.
Google turned from company that at least pretends to not do evil ... into one who does it without care.
I think that taking advice from a sociopath able to amass a lot of money is usually bad idea. Their advice is designed to make you make him a lot of money. His advice is not about what is good for you - he does not care. And if you succeed you are his competitor.
TBH this is also how I feel. There is no way to put the AI genie back in the bottle. There will be sweeping changes in society because of it. Fighting against it is seems like a fools errand imo.
I agree, this is why you need to tell students a realistic outlook. And of these two I believe Wozniak is in fantasy land and Schmidt is much closer to reality.
It's not that hard to "read the room" when you're a humanist, and not a sociopathic tech CEO... you just speak your mind, and you realize that your fellow humans are onboard with you
Where's a link to the actual speech? There's no link in the article. Surely you saw the speech to comment how strong of a public speaker he is, and it wasn't based off this one line right?
I'm sorry but that one-liner is reddit level cringe. I want to see the actual speech and more of what he said rather than one line.
Unsurprising he'd be cheered for saying what they wanted to hear.
But perhaps whether or not his stance is correct, the students needed to hear this. They (we) have to believe human brains still have value and find a way out; for otherwise there'd be no point to try anymore.
> They (we) have to believe human brains still have value and find a way out; for otherwise there'd be no point to try anymore.
Our value isn't predicated on our utility. The simple fact that we are sentient beings, capable of joy and suffering, gives us value. This is why we continue to support and care for the elderly and the disabled - we value them regardless of any practical utility we may derive from them.
If you go through life believing that your value depends on your practical utility, then things like AI are an incredibly scary existential threat. But denial is not a healthy way to cope with this threat. The solution is to recognize the value inherent in us as humans, and to demand public policies that reflect this fact.
> The simple fact that we are sentient beings, capable of joy and suffering, gives us value.
People will understandably ask, what is the actual value of being capable of joy and suffering?
I frame it another way. There is value in affording all beings dignity, respect, and the opportunity to thrive. The question of our individual value as a being is undignified. People can be more or less valuable to a particular effort, but there should be no question about their worth as a person. It should not be a part of how we understand people and ourselves.
It is a healthy conclusion that your value doesn't depend on your practical utility, because that will come and go and is sometimes beyond your control. Your value isn't a question at all.
There's no value in life, but life should be allowed to exist. Who's to say otherwise?
The lifeless dust and rock of the moon is an simpler value proposition to quantify than the messy intrinsic value of overlapping, ever-changing life here on Earth.
"A cynic is a man who knows the price of everything, and the value of nothing." - Oscar Wilde
Or one I prefer, though unattributed: "If the only lens through which you can view life is value in currency, that which is priceless becomes worthless."
A view that is not shared always by LLM cheerleaders. Part of Sam Altman's defence of the environmental impact of AI is that it is less than that of a human life.
"He said it was unreasonable to focus on "how much energy it takes to train an AI model, relative to how much it costs a human to do one inference query."
"It takes like 20 years of life and all of the food you eat during that time before you get smart," he said. "And not only that, it took the very widespread evolution of the 100 billion people that have ever lived and learned not to get eaten by predators and learned how to figure out science and whatever, to produce you."
It took a 100 billion people and their knowledge,experience to generate the data to train an AI. So that cost also comes under the environmental costs to build his version of AI.
unless he plans to freeze the training data at this point and use that for another billion years, the cost of building AI will always be more than the cost of humanity.
It's odd that whenever someone discovers a way to generate value from public noise, costs already paid, that they feel like they are being stolen from even though PPP for the average person will rise due to AI, not fall.
Every year half a million children die of diarrhea. There are so, so many people in the world, who are capable of joy and suffering, who "we" don't care much at all. However I have a feeling that "we" might be joining that group eventually.
Still, it’s vastly fewer now relative to the total number of children born than any previous time in human history. It could be even fewer had birth rates begin to drop instantly as a response to child mortality dropping dramatically even in most developing countries, rather than with a few-generation delay.
But our modern day capitalist hellscape has made it extremely clear that if you aren't capable of providing value for shareholders, your life literally has no value. That's the reason the US government keeps cutting welfare programs, why union suppression exists.
The fact of the matter is that unless you are producing value for shareholders, you don't get to participate in society and are left to starve to death. No amount of flowery language is going to feed and house the unemployed. And we are running full speed into a situation with the explicit and overt goal of cresting as many unemployed people as possible while simultaneously ensuring that there are no resources or help offered to those unemployed people.
Flowery language will cover up the starving bodies in the streets the same way a can of febreeze will cover up a landfill. This is an enormous problem and if we don't fix it, people will die. Whether or not a human has intrinsic moral value by simply existing, we require money to survive in this society. A human life may be a mystical beautiful and valuable concept, but our society has determined that if you don't have money, you literally do not deserve to live.
That's what these students are so angry about. They're being pushed into a world that refuses to employ them and which delivers a death sentence for the crime of unemployment.
You're conflating society with the white collar job at hand. Yes, if you don't provide value for shareholders, your life is worthless _to that company_. The company is in the business of making money. The businesses goals are a microcosm; a small subset of society. There are many other ways to live (and live well, I might add).
THIS is going to be the limitation of capitalism. Capitalism isn't compassionate. It's a really good economic framework though, so it will be interesting how that's reconciled in the coming years
I don't think that's quite right, unless you personally value joy for its own sake. I value knowledge, and joy is useful to creating knowledge, and suffering is harmful to it. But I don't want to have some futile joy, and I don't need to avoid some irrelevant suffering.
Otherwise you get effects like;
* Just take drugs, feel meaningless "joy" because that's what you value,
* Don't do anything less "joyful" even though it's more meaningful.
I'll admit that knowledge isn't practical, and you can't always identify when you're creating it, and a lot of people don't think in these terms and there's a lot of intuition involved, along with societal mores about caring for people which help the growth of knowledge as general rules without getting all bean-counting about it. But I think it matters that hedonism is an incoherent motivation and that creating knowledge is a far clearer one (and hedonism tends to turn into creating knowledge, anyway, if you like meaning). Hedonism, utilitarianism, same difference.
> Otherwise you get effects like;
> * Just take drugs, feel meaningless "joy" because that's what you value,
> * Don't do anything less "joyful" even though it's more meaningful.
These are entirely valid positions to take though. Obtaining knowledge for knowledge's sake isn't objectively more meaningful, even if it may be subjectively more valuable to you.
You could make the point that teaching, and thus furthering the collective knowledge of our species, may be somewhat objectively meaningful, because you impact the trajectory of humanity. But unless you draw joy from that specific fact alone, the joy from creating knowledge is just as selfish as taking drugs to attain a state of bliss (which, again, I don't oppose either.)
Also, I'd even challenge the notion that knowledge alone, at its face value, automatically equates to a benefit for humanity. Harari has made that point far more eloquently than I in Nexus.
Oh, the Sapiens guy. I read Sapiens, thought it was OK, then other people picked holes in it and persuaded me that it was worse than that. But I suppose that doesn't preclude this Nexus book being good.
But anyway I agree: motivations are arbitrary. Why you even got to do a thing? Just sit and be sessile and die. (This is not a personal attack, or recommended.)
I rely heavily on an assumption that we do all have more or less the same set of values - but this might be cultural, not biological: it's hard to get inside the head of, say, Aztecs, with whatever strange non-modern values they had.
I also make an assumption about knowledge being central among those values, although it's definitely not all that, and some people will say they don't even consider it. But I think they are doing anyway, if they live in the world as we know it.
Side comment: you've made "joy" separate from "bliss" and "meaning" separate from "knowledge", and then there's some undefined "benefit for humanity" that might not be any of those things, along with the apparent value of "impacting the trajectory of humanity" - is that good, just impacting it, in any non-specific way? lol terminology.
What do you win at the end of the race? I've never heard it concisely put. 'Dominance' is the word that comes to my mind, but I don't want to put words in your mouth and don't really know why that would inherently be a valuable trophy, so that's probably not what you were thinking of, right?
Why should we care about that? Even if you wanted to argue our individual fates are tied to our country's, we don't all live in the same country, so how, actually, could we all care? Are you really convinced its so zero sum like this?
We collectively spend decades and decades creating a sophisticated global capitalism, huge networks and infrastructures of trade and travel, just to find ourselves in some dark forest-esque race with everyone else anyway? Is this really consistent to you? What was the point of anything in the last, like 40 years to you if we just need to act like we are still in a cold war, except this time its a war with everyone?
"Other countries" means China here, I think. China got a little on board with the global capitalism (and lifted 800 million people out of extreme poverty along the way, if we're looking for the point), but never really embraced Liberalism and so ideally isn't the one aligning superintelligence. It would be lousy if Russia or North Korea or Somalia was in that position and it would be fine if the UK or Denmark or Brazil or Ghana was, but none of that matters because none of them will be in that position. Only the US and China are playing the game.
If this speculated intelligence is so "super" why would it matter what its host country's commitments are? I would hope it would at least be intelligent enough to sort things out there? How can something be so potentially threatening, so "super," but also be like a baby, where we need to worry how its raised? Its super intelligent about everything except ideology? That doesn't really sound like (super)intelligence to me, it just sounds like a bad SciFi premise.
But ok, even granting that framing, if the issue is China's placement on the spectrum of "liberal", what would it take for them to be the good enough guys here?
"Value" is a word with many meanings. Your value as a human or a living being may be very different from your value to your employer or your value to the taxman or anywhere else.
It is very easy to get lost in between them, especially when listening to a good speaker who can flitter between those meanings at will.
What is worse is that those values interact. We indeed we continue to support and care for the elderly and the disabled, but only up to a point, and there is a reasonable discussion how exactly should countries divide their limited resources between vulnerable groups, including families with young kids. In that context, the future economic and societal value of a 5 y.o. vs. a 85 y.o. inevitably creeps up.
Yes it is. If human life was inherently valuable then the concept of poverty wouldn't exist because the entity that sees it as valuable would be willing to spend resources on maintaining it.
> The solution is to recognize the value inherent in us as humans, and to demand public policies that reflect this fact.
Most social programs keep expanding until they become unsustainably expensive. You can't just make a law "everyone gets free money" and expect this to have no negative consequences.
If human lives weren't inherently valuable, the concept of charity wouldn't exist. Where does that leave us? I think probably the line of argument doesn't work in either direction.
Likewise, most of the time you don't have social programs, somebody will introduce social programs. You can't just say "no social programs" and expect this to have no positive consequences... okay this is falling apart a bit, but the point is, what makes 'not expanding UBI' so much harder than 'not introducing UBI'? If you can convince people that introducing UBI will lead to expanding UBI and that that is bad, what's stopping you from just convincing them of the latter?
Something changed with Dario a year or so ago. I think he started out with good intentions, although really hard to tell. Maybe it was really all about power and control for him from day one. Certainly now he's a different person - appears totally corrupted by money and power.
Dario used to at least emphasize the potential positives of AI while being worried about the negatives, but unlike Hassabis/DeepMind he has done nothing to bring about the positive part and is now just accelerating the harmful part as fast as he can. Google is an AI company, bringing us things like AlphaFold, and Anthropic (also OpenAI) are just LLM companies.
I spent more than half my day yesterday telling Claude to correct itself because it did things I explicitly told it not to do in my prompt.
“You’re right - I overstepped”
Is the new “You’re absolutely right”.
I don’t know if we can qualify something that actively goes against the explicit instructions you give it as “something great”. It just sounds like Dario is building snake oil and selling it too.
I have a script at work that writes out some config files and I'm having Claude run them after making changes. The script if it detects breaking changes will spit out a message saying what the breaking changes are, and not do anything, telling you to rerun it after validation with the override flag.
If I don't tell Claude about this behavior, it ignores the script output and lies about passing tests that validate if the config files were regenerated.
So I added to my prompt instructions to observe it, and if it sees that message, double check its work and then inform me and ask what to do before proceeding.
This has had the net result of Claude either running the script with the override flag from the get go (explicitly forbidden) or it seeing the message and convincing itself that the override is warranted and running it a second time with the override flag. It's never once stopped to ask me what to do like instructed.
This is one of a few reason I strongly prefer GPT and its codex variants. It seldom frustrates me, sure its not omnipotent in any way, but it just feels very "tuned in" when it comes to understanding intent and scope.
Imagine worker that did loop of "you're absolutely right -> same fuckup again" multiple days every week, wasting time of whoever told them to do the task
I do want to fire Claude at this point and switch to Codex. Unfortunately the guy with the purse strings is ride or die full Claude psychosis and our business can’t afford to just buy anything and everything for funsies.
Why not? Blacksmithing and coding have a hell of a lot in common. In both disciplines toolmaking is extremely important. Often you have to make custom tools to accomplish a design--e.g. a twisting wrench or a form tool. Sometimes you have to make tools that get used once and thrown away, like a jig temporarily welded to a piece to hold it in place while you build its sibling assembly. Sound familiar? I do this kind of thing all the time in code.
Another similarity is the relative simplicity of the underlying structure of the system. You essentially have two hammers (one small one you swing with your hand and another big one that is planted on the ground), some material, and some heat. You build the rest.
Another similarity is the resistance to automation. A skilled blacksmith is a versatile worker. You can create assembly lines to automate any one thing they might produce. The end product will not have the same quality--it will not truly be wrought iron, each piece will not be unique, there will be nothing of the aesthetic taste of the artist in it, but if you're just some bean counter who doesn't care about those things you'll be able to sell it. But if you need the optionality to produce any of those things.. automation is not your friend. And some things just cannot be automated, at least not without extreme costs or very poor results--shoeing horses comes to mind.
No AI company is addressing the elephant in the room that you need someone experienced constantly monitoring any agentic workflows. This means that the cost savings of agents are a myth.
My company actually did an internal study of agent usage for coding and found it only improved productivity by 10-20%, basically on the same level as good code templates or an autocomplete.
I don't believe there will ever be any artificial intelligence, not with Markov chains (next token prediction), not otherwise. Especially not now when the current ML hype is already winding down. And yes this is a matter of belief since I don't think any science precludes agi from existing nor is there any reason to be sure it could someday materialize. I honestly would rather believe societal collapse hits us before agi can even be theorized.
AI was here in the 1970's too for that matter, in the form of expert systems. "AI" is the label that perennially gets applied to whatever current technology does something that was previously considered similar to human intelligence, then later on gets removed and applied to something new.
You'll know were making progress towards AGI when LLMs start being called LLMs again, and something new starts being called AI.
Kind of, but I wouldn't exactly put it like that since AI has never meant anything more than automated intelligence/decision making of some sort. The bar isn't moving, just this almost meaningless label is just forever getting slapped on the latest shiny new thing.
You could legitimately call a thermostat "AI". Expert systems were previously called AI. Today it's Large Language Models. Tomorrow it'll be something else.
Woz is a different kind of geek, appreciates the craft, and can sort out the cruft out of it.
AI will be there, but it'll transform. When I say I don't use AI (i.e. LLMs, chat interfaces, agents and "autocomplete") for coding, research and whatnot, people label me as a luddite. The fact is I know how to use them. I test them from time to time. Occasionally these tools help. More often they hinder.
"Resistance is futile, hand your brain over!" is a hype filled dystopian fatalism noting that future is inevitable. It's inevitable. You can use this correctly, and we don't got back to our senses to understand how to use this correctly and efficiently.
We are just cooking our planet right now, with heat, poisoned water and slop.
Auto-complete on steroids, is still my favorite analogy for AI. I don't mean that in a negative way either. Autocomplete is very good, but that never stopped me from learning English grammar and spelling.
Quite right. I'm worried about the impact that LLMs will have on the learning process, especially in programming, but also in writing. Programming and writing are both skills that seem simple, but take an absolutely staggering amount of practice to master.
Think about how much your own writing (and programming, if you were lucky enough to start early) evolved from, say, age 12 (when a lot of smart kids start to tackle 'real' books) to age 18 (when you supposedly have a good enough education for 50% of work in most countries) to age 25.
All of that evolution is a direct result of one thing: practice! But with a magic answer box available in everyone's pocket, it'll take truly Herculean effort from a learner to actually grind through the practice instead of just cheating for an answer. I really worry how much an LLM user will actually comprehend their own code or even prose; if you've scarcely written a line of code, how can you really understand what's going on in a debugger? If you haven't done the legwork of writing essays and constructing coherent arguments and comprehending grammar, how will you ever communicate effectively?
Maybe I'm just a dinosaur and these kids will sail a whole level of abstraction above my own understanding of writing and programming, much like how my own generation preferred Python to C, and how the previous generation evolved from assembly to C/BASIC/etc. But then I come back to those missing fundamentals, that empty mental model. It's not like my English or CS teachers had me grind through essays and implementing linked lists and Djikstra's Algorithm for pure busywork. They did it because practice is the only way to truly immerse a student in a practical subject. Maybe it'll work for programming, as long as LLMs get good enough that you can always ask them to fix low-level errors for you? But it seems unlikely to work in prose. And even those generational programming jumps I mentioned (assembly to C to Python) were lossy; most kids I went to school with would be absolutely useless writing C code, and even as a bit of a dinosaur I'm pretty awful at even debugging assembly.
Like you said: you still need to learn grammar and spelling. And I suspect a whole skill tree of other fundamentals!
One angle I'm exploring, as a non-dev who nonetheless works in tech, is using Claude as a professor. Make learning timelines for me for Leetcode, break it down in phases, start with theory, ask me questions, then give me a coding challenge. Save that to an html artifact I can export and read on my phone.
It still gets things wrong, I can tell as I get through problems.
But it was either that or that dreary 'Cracking the Coding Interview' book. At least I'm learning fundamentals by asking question after question and making it track the concepts I had trouble with.
That's one use. Will most people use it to learn? Probably not. But most people are ... most people.
The way I think of it has evolved a lot over the last 5 years. At this point I think human brains probably do something analogous to next token prediction when we think. For all the hype, I think LLMs are actually more, not less, intelligent than that average person realizes. I think it’s legit, actual intelligence, not just “artificial” intelligence. That may be a hot take but it’s just my perception.
> At this point I think human brains probably do something analogous to next token prediction when we think
That's reasonable, but it doesn't mean that LLMs are close to being brains.
For a start, when humans think/talk, we often think ABOUT something - whatever is swirling about in our mind, or what we are currently seeing/feeling/etc. An LLM generating tokens/words is doing so only based on it's weights and the word sequence it is currently generating ... the human parallel would be more like a rapper spitting out words based on prior words, essentially on auto-pilot, or when we get triggered into spitting out stock phrases like "have a nice day".
If you want to compare an LLM to a human brain, it's basically equivalent to our language cortex if you ripped out all the external connections and ripped out all the feedback paths that make it capable of learning.
Of course there is a lot more to our brain than just our language cortex, but that alone should make you realize there is no real comparison beyond the fact that our language generation is also going to be based on prediction, and partly auto-regressive.
Having shame would require the LLMs to actually be able to recognize mistakes they make.
People love to put a lot of meaning on what an LLM responds with when asked why it made a mistake, but it's critical to remember that the answer to that prompt is just another series of probabilistic tokens, and has no actual relation to how the error happened.
It's language. Language itself is the thing that makes us smart in the unique way that we are among the other animals, and it weirdly turns out to be transferable to machines to at least some degree.
At least 50% of humans have no "inner voice" and are not thinking in the same way as you. Many animals like dolphins, dogs, rats, crows are also very intelligent yet appear to only have primitive language capabilities.
A lot of human intelligence is really societal rather than individual, based on knowledge transmitted down through generations by writing (the real enabler). If you take that away then what you are left with is something more like an isolated hunter-gather tribe.
I personally think that the "inner voice" is a non-falsifiable claim, and therefore more of a religious belief that something which can be part of any materialist theory. In this regard, I'm a strict empiricist and wouldn't be able to claim that I have one myself.
Your point about writing is, to me, more evidence for the "it's language that's smart, not us" hypothesis. We start off in small bands of hunter-gatherers that store their intelligence in an oral culture. Language then jumps to clay tablets, papyrus, codex books, etc. The printing press allows it to escape containment to a wider public than just a caste of priests and bureaucrats. As soon as we invent automatic calculators, we start networking them and using those to process language, albeit in a primitive way (email, the web, etc.). Recently we discovered some abstruse math that, with the assistance of a bunch of beefy video cards, can crunch centuries of human writing into a mathematical object that encodes at least some of the meaning of that writing into an even more "advanced" symbolic processing machine. There's a clear trajectory of language itself getting more and more free of the specific wetware it grew up on.
It's a falsifiable claim, in that if there is a way to train a useful LLM from scratch without any human authored input language to bootstrap it (something I've been on the lookout for but haven't seen, though admittedly I'm not an AI researcher, just some Linux nerd with a day job as an SRE), then we can disprove it.
For the religious angle, look no further than John 1:
"In the beginning was the Word, and the Word was with God, and the Word was God."
> I think it’s legit, actual intelligence, not just “artificial” intelligence. That may be a hot take but it’s just my perception.
You might be redefining words here; there isn't a form of intelligence that isn't actual intelligence. It is all actual intelligence. Artificial in this context means it is something we're creating in a lab. LLMs can't avoid being artificial intelligence. The meaning of "AI" is to artificially create actual intelligence.
average person is absolutely awful judge on anything you put in front of average person tho.
And if anything, average AI user is vastly overstating how good/useful it is. Papers about it pretty much always show huge gap between "productivity person thinks they are achieving" and "actual growth of productivity"
Yes! We need them to have hope, but hopefully there can be substance behind it, otherwise it's like when the Hitler Youth got those badges before Hitler killed himself. In the sense that we are awarding people medals when their future is bleak
I bet Eric's used AI to review his speech, and it told him it was brilliant. He had never bombed before, so him being booed was not in the training data. In a sense, kids booing shows is exactly the difference between AI and our unpredictable mind. This is innovation as far as commencement speeches are concerned.
Actual intelligence is useless when decision makers send new weekly AI rules to be better employees. It’s race to the bottom. Race to an endless technical debt. Some companies will implode when codebases stop being manageable. The small minority will thrive. But majority not. I see it used in hardware world. Clever dudes without prior experience with software craft working Python scripts, automate tests, control hardware from rudimentary GUIs. That’s awesome. I see software companies sending internal memo requiring all code to be produced from prompts… It’s like steroids - cleverly used they bring more advantages, though one shouldn’t take double dose with every meal.
This too shall pass. Among my software engineering friend group bubble: Every single individual (~12 of us) are actively and seriously tokenmaxing. We have middle-managers who have been given an AI mandate, upper-managers saying "uhh...maybe that brush stroke was too broad" when they look at the bill every month, and zero people in that chain have the authority or even ability to roll it back. This week one of my friends cobbled together an agent that runs in an infinite loop, grabs whatever song they're actively listening to on Spotify, writes it in a file, then instructs the agent to emit tokens for 2-3 minutes on what that song and previous songs that day might mean for that person's mental state, like a little music-based diary. Repeat, run all day, 24/7. Kinda cool. But its just a way to use tokens, because the first thing all these AI labs built was a good coding model, and the second thing they built was a dashboard for admins to track how much their users are using the good coding model.
A TON of companies are getting looted by the AI labs and AI users. Many will not survive. I think Meta will be one of them (a shell of their former selves by 2030). The ones who survive to thrive in the 2030s will be the ones that are relentlessly focused on their customers and products, not the process. If you don't regularly hear both "AI would be awesome for that" and "actually AI probably won't be good for that", your company won't make it. You'll either get lapped by the companies who find the strong use-cases, or you'll get looted by infinite and aimless tokenmaxing. The path through the middle is far more narrow than most companies realize, and some major, major companies are waking up to that harsh reality; for some, too late.
It may be useful outside the current tech rat race. One possibility is that a decade of openly user-hostile business decisions will reach their logical conclusion even faster, and those that haven’t fried our brains with CC may be in a position to pick up customers from these behemoths as they disintegrate.
Some people live paycheck to paycheck in tech. Where do they walk away to that isn't or won't be impacted by AI? Or are you assuming they have the financial support for such a risky switch?
I work in infrastructure (backups, networking etc) and no longer in software. I just don't see llms being that useful right now. If I have a problem and ask an LLM the answer is either fabricated or useless, rarely does it know what it's talking about. And yes I know how to describe the problem so that it has a chance to give an useful answer.
Also even with agents, you can't just try and error your way out of some (most) of the problems I encounter without doing harm if the solution fails.
Might be different if used for infrastructure as code or ansible or some such. That I can see.
Well Coding agents are being tackled. Infrastructure agents that would read your host event logs, device configuration, ilo, etc, etc - that is probably the missing piece.
Having a chat with chatgpt may give you clues or ideas when you have gone throught your own checklist of what could have went wrong, but can go only as far.
Agent on the other side will decompile .dll to find out issues if needed to go deep enought.
Providing access to the data is easy. It is just an MCP or equivalent, and coding such CRUD is cheap now.
Applying the actions is unsolved. Unless you YOLO the LLMs, taking stateful actions automatically requires a lot of protective infrastructure, solid testing infra etc.
It’s all just more code, but a “create me a shopping website” LLM is likely not going to be doing the infrastructure level thinking required to handle it for now.
Might be but I just can't imagine a customer being fine with a loose cannon agent in their environment. E.g. coding agents are ignoring instructions. Who is to say that Claudes solution to a, say, slow backup isn't deleting the backup?
Imagine an agent shadowing all your terminals, providing ideas and asking to run commands that will let it verify the hypotheses it comes up with, while at the same time doing research on vendor docs, etc...
Quite safe, and already a force multiplier - this would be a harness. Maybe have it be able to write to a shadow system with similar (ideally same) hardware to verify it's hypothesis on how the system works, etc...
Companies that use AI well will replace the companies that use AI badly. There is no world in which AI is not used extensively in all employment going forward.
I agree, with the caveat that I don’t think any company is using AI well at the moment, specifically because I think our tooling around AI is woefully inadequate and immature.
Right now the AI marketing paradigm is to create rockstar superusers who can (supposedly) do the job of hundreds of individuals at the speed of light! Which bleeds into the design paradigm, which is trash. I’m bullish on AI that can be used more cooperatively and collectively by a company.
Ironically, companies overusing it will probably die at a similar speed. Maybe faster, even, depending whether cash burn or technical debt catches up to them first.
I'm less sure of the fact that ending subsidized token consumption (in isolation) will happen and change this. I think we've seen this play out before with other tech companies where discounting early use ends up entrenching demand and allowing the company to build larger and more efficient infrastructure.
I'm slightly _more_ convinced (still not all that strongly) that the rising cost of memory and chips, data center construction that gets outpaced by computing demand, increasing energy costs, and low switching costs for customers will force the model labs to make changes that increase the barrier to entry (either via higher pricing, more restrictive rate limiting, etc.). or force their customers into longer term commitments.
> I think we've seen this play out before with other tech companies where discounting early use ends up entrenching demand and allowing the company to build larger and more efficient infrastructure.
We've also seen failures who were convinced "they would make it up in volume." I guess the bet is that infra will get that much more efficient, but it's not clear how much slack there is.
A lot - and over the coming 2 years, even more. Utilization rates are under 50% across the board, and special and cheaper chips are coming out all the time for inference. And a truckload of research - TurboQuant, HC (deepseek), etc, etc..
Maybe. But I used to have unlimited Claude Code usage but now I’m relegated to whatever the subscription happens to give me and when I run out of tokens I need to trad code until my limits reset. My manager saw the bill and nearly fell out of his chair. Small companies just can’t afford the added cost of AI at the real price (and we aren’t even in the real price territory yet).
Hell, even Microsoft is having trouble paying Anthropic’s API rates.
There is a ceiling to how much people are willing to pay for work slop. Just look at the backlash to GitHub Copilot’s token based billing changes.
I don’t want to live in a world where the barrier to entry on entrepreneurship is how much you can pay Anthropic or OpenAI.
If by "using AI well" you mean kill off customer service; maybe customers will want to switch to other companies that are more expensive but have customer service.
This is basically the next step of all the AI trainings and hacktons that many of us are now required to take part into, with KPI metrics on how each one is using their tokens.
It’s not like code base written by developers before AI were manageable. The term tech debt was there way before AI coding, and was mainly due to changes made by developers.
I see the point of your argument when this is done by inexperienced developers, as they wouldn’t know what’s happening but for those who knows and guide what has to be done, I don’t see much difference. It’s about understanding the outcome, and evaluating the risk.
Technical Debt is not a developer skill issue. It’s a management planning, capacity and budget issue. It’s a bet that the cost of servicing the debt will be less than the cost of paying for it outright with cash. I’ve been in the industry for decades and 95% of the dysfunction in an engineering organization is always management.
AI doesn’t really fix that or is really even that suited for it. In many cases it makes it worse.
That’s why you see software quality going down. Developers aren’t told to make better quality software even though AI does really make that easier. Instead they’re told to make more software faster for cheaper.
Cheap, Fast, Quality. Pick two. Business will pick cheap (short term) and fast every single time.
It’s a question of degree: technical debt has a carrying cost trying to balance features against your ability to support the codebase. LLMs change both sides of that equation but I think most companies are going to struggle with maintaining a balance when it’s so easy to push past concerns and get something which seems to work.
Tech debt is a debt taken to reduce development time. It's a time debt actually. Patching something that would work until the team has the time to do it correctly.
...and that time never comes in most cases. Because monies are earned in exchanged for that debt and, management cares about monies. They don't see that debt as important, or as debt at all.
This past fall I overheard a conversation between some high schoolers where one of the students was taking classes remotely for a while as she was dealing with some mental issues. She complained that while she needed the time away, it was just so easy to cheat with ChatGPT and be done with school for the day, and she went on to say that she really felt like she wasn’t learning anything and really was looking forward to returning to the classroom. This has stuck with me as the group of kids were just your average punk/emo high school kids.
Kids want to learn, they value learning, they get a sense of pride and accomplishment when they learn new things and concepts.
The kids are smarter than many of us think. We owe to them a world where they can feel hope and see a future. But much of the AI hype is built around declaring how dangerous and futile everything is.
The students cheering Woz is not about truth but about hope.
Wozniak has discussed his personal disdain for money and accumulating large amounts of wealth. He told Fortune magazine in 2017, "I didn't want to be near money, because it could corrupt your values ... I really didn't want to be in that super 'more than you could ever need' category."
Woz isn't some kind of monk. He enjoys his tech toys that he can only afford because he's rich. He's just bad at managing his money and lost a lot of it through multiple divorces.
It's easy for us to judge from the outside. It's also entirely possible that the quote OP posted is true enough to the point that he didn't "lose" it through multiple divorces, because he didn't care about it.
How do we know he wouldn't be happy with whatever tech toys he could afford if his wealth was significantly less? We don't, but it's possible, particularly when you look at his actions relative to his words.
Recently there was a flood of articles about "students are using AI to cheat". Now there's a flood of articles about "students are anti AI".
My first impression is that floods of articles do not accurately reflect the real world, but just show some facet of it.
But if they are both correct and both are to be taken as real, should we expect that students will agree with academia and not use AI in their education? Might we see the return of traditional learning?
(Education is different than our industry. In our industry, most of those using LLMs are forced to by the powers to be. In education, the powers to be do not want the students to use LLMs.)
As a recent graduate, both headlines read as plausible and non-contradictory. Students right now are faced with two things:
1. a machine that can do the things asked of them faster, more accurately, and higher quality.
2. the threat that that machine completely or mostly invalidates their education, in particular for getting an entry-level job because they don't exist anymore.
The former headline is a result of point 1 and the latter point 2. They're using it not because they think "it's good, actually" but because they're resigning themselves to their education not mattering for their professional development and taking the easy path. That breeds the resentment that you see with "students are anti-AI".
If some students use LLMs to do tasks faster and at higher quality, that changes the grading curve, so everybody else might have no choice but to do so as well if they want to graduate. It's the "and yet you participate in society" meme.
I don't think those two things are mutually exclusive. Good chance that a few students that cheated or at the least used AI in a major capacity to graduate, still booed when that former Google CEO brought up AI at the graduation speech. Being pro AI when it benefits them and anti AI when it doesn't is just human nature. I'm being a little reductive here though.
> Recently there was a flood of articles about "students are using AI to cheat". Now there's a flood of articles about "students are anti AI".
Sure, both are true, although I think you'll find that they differentiate between "cheating" on their math homework by using AI, and kids who are cheating on exams by sneaking in a smartphone and giving a photo of the problem to ChatGPT.
As far as homework goes, AI is just the new Google, useful perhaps, but hardly outweighing all the anxiety of their future being taken away by AI, or all the societal enshittification by AI that they see all around them.
I wonder if other languages are less ambiguous about this. "Steve Wozniak cheered" makes it sound like he did the cheering. But the practice of removing verbs from headlines makes this more ambiguous. "Car collides with bridge" is not a grammatically correct sentence but a perfectly normal headline.
But in this case, "Steve Wozniak cheered after telling students they have AI" _is_ a grammatically correct sentence, which means that Wozniak did the cheering, which may be the source of confusion. Or, perhaps it means not that he vocally cheered, but was cheered up emotionally.
English isn't ambiguous here either. It's the fault of journalists who have this weird obsession with removing as many words as possible from headlines.
>I wonder if other languages are less ambiguous about this.
most are (few others I can speak). Generally, passive voice and past tense do not collide by having the exact same suffix. The fact the headline lacks a verb (when interpret correctly) doesn't help either.
"Steve Wozniak cheered after telling students they have AI – actual intelligence "
Could be interpreted as Steve himself cheered. Or it could be interpreted as the passive which is meant here but I would argue it should then say "Steve Wozniak cheered at after telling..." but I am not a native speaker.
The original title "Apple cofounder Steve Wozniak got cheers, not boos, after telling students they 'all have AI — actual intelligence'" can not be interpreted in the way that Steve cheered as far as I know.
Where would the skill issue be? Please be specific.
How is the original title not less ambiguous to you? Do you see other interpretations than I mentioned above or do you disagree with my interpretations?
While it's technically ambiguous, most native speakers would immediately understand that Steve was not the person cheering. Firstly, Steve cheering makes no sense. Secondly, it's a very common construction for newspaper/article headlines.
For example, BBC News right now says "Jury discharged in Ian Watkins pirson murder trial", "Carrick confirmed as Man Utd permanent boss", "Ex-soldier jailed after woman..."
Okay, in this example it's more ambiguous because "cheered" does not have to take an object. But native speakers are primed to expect a passive sentence here.
I'm a native speaker, and read it the "Wozniak gave a little cheer after" way at first, though the more likely meaning did occur to me immediately after. As for it making no sense, I differ. There are scenarios I can conjure in which that exact sequence could happen, either because he was cheering the students after telling them they're great, or because he forgot what he was doing -- dementia wouldn't even be "early onset" at his age. Further, if something is utterly mundane and expected, there are no headlines about it, as in the old saying about the difference between "Dog bites man" and "Man bites dog".
Language is often ambiguous! You have to guess the intended meaning based on context clues. Unambiguously phrased language sounds less natural, because it is. Incidentally, this is part of what makes natural language such an awful fit for controlling a computer.
I cannot stress how much the deep internal Apple loyalists loathe Woz. I personally find him one of the best parts of (old) Apple, and it’s a shame the company internally continues to think of him as a loose cannon.
How many people from that era still exist at Apple to be holding a grudge like that? Genuinely curious, since it's been a very long time since he was last involved at Apple.
A lot. Apple has pretty impressive retention, more than everywhere else I’ve worked in the Bay Area. Many people work there to retire, so the age demographic skews older. I worked there close to 20 years and that’s not even in the longer end comparatively.
Also Woz still goes to campus every so often, it’s not like he’s banned or not accessible. Deep loyalists though love to mock him for being a bit…too honest…which I find unfortunate because he is honestly a very kind and fun person. I’ve spent time with Woz, and have nothing but positive things to say about him.
I worked at apple a couple decades ago. He isn't loathed so much as acknowledged as being uncontrollable. Internally at Apple it is very strict in terms of what you can say and do, like being in a communist country where you never go against Dear Leader. Woz speaks his mind and that is ultimately why he left early on. He also has a conscience and cares about people, something Apple does a great job of pretending to do.
I worked there just shy of 20 years, and I agree “uncontrollable” is a good way to frame it.
To be clear I think Woz is great, I was just referring to listening to years of behind his back comments made by leaders at the company who look down on him for being too open, which as you know is not “allowed”.
I really like how he approaces AI. Not the tone other leaders are talking, but much more human and much more collaborative. How young people actually can help with the AI shaping. For example Eric Schmidt was really terrible at his speach in front of University of Arizona.
To be fair, if you're a cow, you don't have much say in it, the world continues to revolve, and not around you, but you still need to find your place, or at least find peace with not finding your place.
Every teenager goes through it, some still try to find their place until the day they day, but we all grow up in vastly different contexts and environments compared to what we experience as adults, and stuff keeps happening around us that we don't like, maybe don't even want to participate in, but because of the lack of alternatives, you don't really have a choice.
I guess an optimistic way to look at this would be to treat this as just another layer of abstraction, meaning people could focus on larger scale problems moving forward, similar to how the evolution of programming languages influenced development time, quality and the quantity of software being put out. The question is at what price does all of this abstraction come at, assuming AI continues to evolve at its current rate.
This can not be seen as layer of abstraction as it's non deterministic and not trustworthy. So we still need to inspect and understand that abstraction layer output if we want to have a reliable product
In the US, the politicians need money to be elected in the first place, and a lot of it. Lots of money comes from the big tech (to both parties), and the big tech won't give money to anyone with a plan to "rein them in."
It's not that "money can buy votes," but for a given party money can buy facilities (offices, transportation, food, etc.) and people (activists, coordinators, etc.) and that can bring (not buy) votes. Printing one "Rodriguez 2027" sign and putting that on your front lawn can be done for free at someone's office; printing ten million of them is a major financial, logistical and organisational undertaking, all of which costs money. Printers, truckers, warehouses, coordinators don't care how many "fucks" you're giving; they just prefer being given dollars to being given "fucks."
Maybe you have more ... workable (?) solutions than "let's get everybody to give a fuck and vote in a different way"?
They can learn the skills to advance research and fill the roles that help determine what sorts of guard rails there should/could be to ensure it’s used in as helpful a manner as possible.
Any why would I want to work as a prompt engineer? or with AI tech at all? when I trained as a software developer using my brain to solve problems with data structures and algorithms, not prompts. I outright refuse to do such a thing.
Current young generations are the first that will, on average, work harder than their parents and have less to show for it. Affordability is absolutely vile and oligarchs have more decision making power then they've ever had in my lifetime, at least. No. Prospects are poor and governmental debt is absolutely unsustainable.
But I guess they've ve got cell phones and social anxiety, so not all bad.
Basically, what's the state QOL, and first/second derivatives of the that state? What direction is everything going? What's the world state young people are growing into? What advice would you give a young person to enable them to achieve the same success as you? - be realistic. You being the average poster on this forum, enriched by the tech boom of the 2000s-2020s - but not necessarily you specifically.
I wonder how Steve Jobs would've reacted to this GenAI boom. He constantly talked about the intersection of Humanities and tech, as well as fostering creativity by pushing people to their limits (for the better or worse), so I don't think he'd be one of those CEOs that's first in line to get rid of human workers as much as possible. Or maybe he would be and I'm just giving him too much credit.
On an unrelated note, I haven't used an Iphone since 2018 and I wonder if Siri has gotten any better. I do see "Apple Intelligence" being advertised everywhere and besides AI summaries of texts on the notifications bar I haven't seen anything to understand what Apple Intelligence actually means.
It's just a broad term for whatever AI integration they put into their various Apps and services. So, a combination of the neural engine stuff they've been doing for years, and integration with white label AI services from Google or OpenAI.
Siri is basically unchanged, it looks like they have had serious problems getting LLMs, or generative AI in general to be reliable and 'safe' enough to put their own name on it. By 'safe' I mean thinks like not generating emails based on Mein Kampf, or doodles of genitals, or hallucinating false 'facts'.
Not a concern for many of the frontier AI providers with no reputation to burn, but not exactly on-brand for Apple. I very much doubt Jobs would have viewed that differently.
How good is AI integration in Apple products? Did they drop the ball as hard as Microsoft did? I naively assumed a few years ago that Microsoft could pull it off perfectly because they had more than enough in terms of resources & engineers (yes, I was this naive in college)
Like most MS vs. Apple differences, it comes down to a matter of taste. They've added quite a few AI enhancements across their apps and operating system, but they are mostly feature enhancements and not major AI branded efforts. Having a Summarize button in Mail.app where it's contextually relevant or having text improvement menu options in text fields vs. slapping a major "Copilot" tab into everything.
Their use of AI so far has been much less "let AI take the wheel and brand it as a product itself" and more "use AI to improve an aspect of <user need>".
Yeah, hard to guess how a person would react to transformative technology, together with whatever context it'd be brought up, their reaction could differ.
I too would say Jobs probably would have an human angle on it, but he also famously was a tyrant who struggled with people not doing exactly what he asked, and could be slightly nitpicky about that, maybe having a robot that follows exactly what he wrote, to a fault, would be a machine he'd greatly enjoy.
Or he'd throw it in the trash with some flourish of words explaining how a machine could never feel frustrated so therefore couldn't great excellent products, or something.
His reaction probably still would not have been solidified yet, given how long his response took to other tectonic shifts in technology. That isn’t to say he wouldn’t have an opinion to voice, I just suspect it wouldn’t have resulted in a product direction for at least a few more years.
> I wonder how Steve Jobs would've reacted to this GenAI boom.
Steve Jobs really cared about his users, and putting out great products for those users.
I imagine he would have loved all the machine learning stuff that Apple has being doing the past few years (stuff like voice noise separation, instant text OCR and photo object isolation).
Based on the story about the first iPod being too big, dropping a prototype in a fish tank, lots of air bubbling up and him going "there's your space", or the disdain he displayed about how crappy Mobile.me was, I imagine he would have recognized LLMs for the flakey product they are and would have been very wary of introducing them into users their workflow.
> .. and I wonder if Siri has gotten any better ..
Siri is still crap, but so is Gemini. Both still do incredibly stupid stuff like when you try to request some music on Spotify "cannot find the artist or song 'My Playlist Hard Techno'" / play some unknown vaguely matching artist. Or it'll do an internet search for "goose oven cooking timer ten minutes". Or ask "for how long should I set your timer?" and name the timer "goose oven cooking timer ten minutes" which in a way is even more stupid.
You'll get some naysayers here saying stuff works perfectly, but its that inconsistency that sucks. Sometimes it'll one-shot a really difficult voice command or obscure song search. And then other times (many times..) I have to yell at it three times to set a timer, at which point I sigh, realize doing it manually would've been faster, and set the timer manually.
In a way its made me realize LLMs and voice assistants aren't that good, it's just that even tech people have incredibly low standards. Especially the people working in AI.
The problem is natural language is a horrendously bad human-computer interface. Even if they're running nondeterministic software, computers are very precise machines. You wouldn't talk to your lathe or milling machine and expect good things to happen. So why would you have that expectation of a computer? It's ridiculous sci-fi fantasy nonsense.
It's hilarious, when you boil away all the froth and hype, that we've collectively decided that "talk to computer" is somehow worth an entire generation of venture capital and maybe even the whole stock market. It's a dumb idea to begin with. A mouse and keyboard are better.
no this is a fair question. he was enough of a sociopath to disown his own kid, but his narcissistic tendencies and love of the arts would have been a weird counter point to that.
Which, to their credit, seems to be what Apple tried to do with Apple Intelligence and was already doing with Machine Learning. But if under Steve they had over promised and under delivered—like what happened under Cook—some heads would probably have rolled.
> I wonder if Siri has gotten any better.
Nope. There are rumours the new one will use Gemini and be better, but who knows. We’ve heard this before.
> I haven't seen anything to understand what Apple Intelligence actually means.
When it was announced, I thought it was a brilliant piece marketing in the sense of associating the “A” in AI with Apple. But then it turned out to be trash, so turns out the association is a hindrance. Anyway, you know how Microsoft uses “Copilot” for anything they ship which has “AI” in it? That’s Apple Intelligence. It’s the umbrella term for anything anywhere in one of their products where they use any kind of AI/ML.
The difference is it’s incredibly easy to opt out of apples AI-like services. For instance, I have never had Siri on on my iPhone no matter how many years go by. And every time I’ve gotten a new one, it stayed off. One tap, that’s it.
They don’t go out of their way to bolt the features to everything the phone does or make it particularly difficult to turn them off. That’s probably one of the last major reasons I still have an iPhone.
Microsoft in comparison forces you to use OneDrive, has copilot tapping on your glass like clippy every five seconds, etc. The desperate pleas to use these features are embarrassing
There seems to be a mental shift that happens around 30-50 (depending on the person) where the mindset changes from "How can I learn and contribute to world?" to "How can I make the world work the way I want?" and it's very noticeable in the public speaking engagements these people do, as this mindset seems to blend with all their other thoughts and feelings.
Luckily, this doesn't seem to happen to everyone, especially if you aren't a public figure, a billionaire nor a successful startup founder, but that particular combination seems to make it extra likely you experience this transformation.
I was fortunate to get to spend time with woz when I worked at Apple. He's the type of person who is practically silent during a meeting. Then, towards the end, he spoke up and would literally solve the problem we'd been struggling with the entire time.
He's one of the nicest, most down-to-earth people I've ever worked with.
He seems to be a nice guy and this contrasts with big tech CEOs, but this is pretty demagogical. AI is going to causing disruption but is here to stay, so what should be done about it? "Think different", "you have actual intelligence" may be comforting and enough to be cheered but is not a very actionable advice.
This whole situation with students cheering and booing is kind of strange.
Aren't students, at least anecdotally, outsourcing a lot of _their_ work to LLMs? And upon graduation when they're told that it's their future they don't like it?
I described a bit of this in reply to thinkingemote, but to:
> And upon graduation when they're told that it's their future they don't like it?
They aren't being told it's their future. They're being told they have no future because AI will remove the world's dependence on them (well, the professional side of it at least).
Seems more like the issue is nuance and consideration or not. One side is saying that it is possible to do things that have value using LLMs. The other side is pointing out that this technology has increasing costs, is requiring data centers that have strongly negative environmental, social, and economic impacts, is promoting rampant, industrialized theft of intellectual property, is inserting errors, hallucinations, and psychotic ideas into all usage, and is at a number of levels doing damage to kids, elders, and professionals who are exposed.
If they did use it then maybe in hindsight they regret it, realize they didn't learn much, realize the temptation to cheat yourself will always be there and that's not a good thing.
One perhaps unpopular opinion: Could it be that the current AI is beneficial for young people in the sense that it is making them stop looking at their phone for a bit, and realize that certain tech is not that important for human well beeing? The change is in their/our hands after all, we just need to become aware, believe and vote with our wallet and the whole society will change in the blink of an eye. The hard part is the awareness and believing.
My experience as a parent is that gen alpha took note of the fact that their parents being on their phones means less attention, so it's possible they'll have a more sober view of the entire thing.
I don't know what to say. I may not like it, you may not think it's actually intelligent, you may not think it's going to change the world - but how can you not see that this is revolutionary?
This one looks completely different from the short as well. There are now 3 known versions of this same line and all are different. Is it possible he gave the same speech to multiple audiences on that day?
Anyone with a sub 100 IQ should be using AI nearly blindly for questions and life decisions. However, these exact people don't realize AI is smarter than them.
I think we are going to witness a division on a monumental level in our lifetime. People willing to use AI, and people not willing. (However, people not willing will be able to get to speed in literal seconds).
This contrast is a bit sad.
When Eric Schmidt told students the truth about the importance that AI will take in the future ("It will touch every profession, every lab..."), students booked him
But the takes like "AI is not real/powerful, human intelligence is better", which are basically pleasant myopic lies, are cheered. Cope bias is powerful.
The point of a graduation speech like this is to get students hyped up about themselves and their future. Surely you see the merit in, amongst a backdrop of a horrible job market, telling students that they have, inherent in them, the stuff of greatness, just as people did (checks watch) 3 years ago before vibe coding?
Have you stopped to consider whether this statement might be more applicable to yourself? "Myopic lies" is at the very least highly exaggerated phrasing, if not itself myopic and a false characterization. If it's not too uncomfortable for you, some honest introspection might be worthwhile.
There's been a massive mask-off shift amongst elites* the last few years where displaying open contempt and hatred towards normal people - employees, students, public servants, etc. You can see this most clearly near the epicentre of the SV executive class where layoffs are celebrated and the life of the remaining employees is made as shitty as possible (ie, Meta's keyloggers), but it is everywhere. Speakers gleefully mocking and chiding graduates about how fucked they are due to AI, opinion columns from oligarch-owned mass media about how ungrateful everyone is towards the president, democratic senators (!!) mocking their constituents for wanting health insurance, just absolute disgust and hatred dripping everywhere.
* Here I'm using the alternate definition of elite - someone with money, power, position, or privilege - and not the conventional "barista with hair colour".
It’s sad that we ended up here. I can’t fathom that young people aren’t excited about technology anymore.
I was young once and naive, and I read a bunch of sci-fi. I could never have imagined having these LLMs or coding agents during my lifetime. Never. It was unthinkable to me that something like this could even happen.
And yet, here we are.
Even if you think it’s just a statistical trick, you should still be blown away.
You should also be optimistic, because that’s what we need young people for. We used to be able to convince young people to get on boats and migrate halfway around the world to die on some godforsaken land. Or get on boats and go fight some ideological war somewhere else (not saying that was a good thing). But now we can’t even get them excited about technology?
What have we done?
People used to have nothing. My grandfather got his first pair of shoes when he was 10 years old. Yet he was more joyful and positive than most people alive today.
Would you be excited about technology when it appears based on their stated intentions and revealed track record over the past 15 years of your young life that those driving it fully intend to use it to disenfranchise you further, not empower you?
The reality of the world faced by today's 21 year old college grad is completely unlike the world graduates went into 20 years ago.
> But now we can’t even get them excited about technology?
> What have we done?
Arguably this transition happened a lot earlier; the first half of the 20th century was the time for pure techno-optimism, then somewhere between nuclear weapons, global warming, and reporting like The Silent Spring people realized that there were downsides. Medicine had its peak with antibiotics, the edge blunted by the thalidomide disaster, and now sits in a complex web of paranoia and propaganda.
It's not enough for technology to be "cool" in an apolitical vacuum. People have to believe that there will be benefits for them. And the big pitch from the AI companies is the "great replacement" of all white collar jobs with AI. No wonder they're upset.
Modernity is soulless for the most part. Social media, the 24/7 news cycle, unaccountable mega-corps, the list goes on. I suspect people are tired of the constant psychic damage you endure for just trying to exist in 2026.
Hopefully people are understanding that technology, no matter how cool, does not exist in a vacuum. Technology is defined by who controls it, how it’s used, and what power it enables them to wield. Those concerns are far more important to society than how neat the tech is.
An obvious example is nuclear weapons. Amazing science, incredible engineering, awe-inspiring power. But I doubt you would make the same critiques of people who were anxious about the world they create. A world in which MAD exists is fundamentally different than one where it doesn’t.
Regarding your grandfather, it’s a pretty well-supported hypothesis that younger generations are less happy and more depressed because of technology from the very industry pushing AI onto them! Why should you expect them to be excited about a new world-changing tool from the same set of companies that brought them an infinite doom-scrolling feed of self-doubt, the increased polarization of politics, the viral spread of conspiracy theories, and a higher rate of youth and teen suicide than ever before?
Technology isn’t fundamentally good or bad, but it can have very negative impacts on society. It seems like people are catching on to that fact.
I have noticed a certain personality gloms onto AI and unlike other technologies, it is so easy old people and the technologically illiterate can do it! In fact, old people and morons seem to love it. And it gets annoying really fast. The same people who were web 3, crypto, block chain, nft bros are the biggest supporters of AI. Utility or not when scammy people act the same way as they did for all the other tech trends it is a massive turnoff. I am tired of seeing AI writing and AI images, and instead of people talking about how we are going to use AI to make people’s lives better the only thing people can talk about is how much money some tech bros are going to make and how everyone else is going to lose their jobs because we won’t need them anymore. And your idiot friend from HS has an awesome business idea, which amounts to AI art on a t shirt or AI youtube videos and just needs you to be in on it with them to actually do the work like they are selling Amway.
I think the problem AI has is after the novelty wears off, and if you are not using it for code specifically, it is mostly just a fancy search engine that the dumbest person you know uses to validate their idiocy.
No, young people do not have to be optimistic. They have to think with their own brain, and form their own opinions.
People in the 1980s were optimistic in technology because they didn’t have the chance to see the social upheaval that youth in the 2020s have grown with. Only a complete idiot would remain steadfastly optimistic after seeing what the rise of the internet, social media and mass surveillance has done in the name of this promised technological utopia. Only the sociopath would tell a young person to happily embrace AI in the worst economy in decades while headlines about AI-related job losses are everyday news.
Blind faith in anything leads to terrible outcomes, and that includes technology.
I was inspired by technology when I was young, but not anymore. When I was young it felt like the tech industry was about empowering human beings - Steve Jobs liked to say that a computer was like a bicycle for the mind. Today it feels like the tech industry is about wonton destruction ("move fast and break things") for the purposes of making a tiny number of people fantastically wealthy.
I'm aware that Steve Jobs was a jerk, but I cannot imagine him complaining about how he had to miss some great parties so he could spend the weekend taking food and medicine away from the world's poorest children (as Elon Musk did during his DOGE phase). The ethos was just completely different.
If you’re still writing things like this you are stupid or willfully ignorant. All the boomers at work expose similar opinions and it’s because when the younger generation tries to explain why they feel this way, the boomers stick their fingers in their ears and start yelling.
People are not excited because those companies blatantly disgregard the law, exploit and fuck people over and try to concentrate as much power as possible in their hands. Young people are not stupid, they can see that the increasing wealth gap makes their lives suck more. And they also understand that AI is a hypercapitalistic tool, that, if left unchecked, will only accelerate this trend.
So yes, that kind of curbs the enthusiasm, doesn't it?
> People used to have nothing. My grandfather got his first pair of shoes when he was 10 years old. Yet he was more joyful and positive than most people alive today.
I was saying he had nothing, not even shoes (and people now have plenty).
This shouldn't be hard. It's truly basic text comprehension.
There was study that big percentage of university graduates, strugles to comprehend written text. In AI terms: take 20k token paper, feed it to well rested graduate, and they will strugle with basic memory recall, reasoning and comprehension! My laptop performs better than that!
Ah studies, those things nobody ever cares to reproduce.
At least you provided a source! Er… wait, you didn’t even tell us your laptop model, describe the paper other than in terms of token size, or where these well rested graduate students (read: unicorns) hide from the rest of the world.
Maybe I am in a minority position here, but despite me vibecoding for many months now (havent written a single line by hand and forced me todo so in the beginning), I still have my IDE open right next to Codex/CC and while the LLM is crucnching along and doing TDD loops I actually read whats created/changed and just sit with it judding if its only right on surface or semantically stupid underneath, essentially realtime-architecting and steering the code agents sometimes even midflight. so I do end up with these 200k+ LoC projects now since typing is lightning fast and 2/3 of my codebase is tests (I insist on regression tests after every steer) but in fact I perfectly know what each piece is doing and where it is, as well as the still not optimal parts and have a mental list for refactoring it later when I have time or a spare parallel agent can do it when feature work isn't crossing the same areas.
so I COULD take over by hand again like I did the decades before just fine, but I refuse to and instead play a codebase like a RTS - lots of stuff happening in parallel but at all times a understanding where is which thing going on and have the next steps in mind (sometimes directly queued as follow up instructions). For me vibecoding is a strict speedboost and literally gamified projects I work on, and the guardrails not only in textfiles but much more in executable code (linters, tests, dependency checks, playwright, ...) as feedback loops agents can spin on on their own made it all click together to the point my main bottleneck is stuff like the Codex app itself using high CPU and memory on my local mac.
The man is hailed as a brilliant nerd in our circles. I didn't realize he's a great public speaker. He really read the room.
The "McKenzie"-style lady and Schmidt from Google (who really seemed to resent the pushback and chided graduates), can go to hell. I'm happy that someone is telling the young people who are likely to suffer because of this tech that they matter. I can't imagine how much angst much exist after taking on debt to get an education and then this is the job market.
A bit off topic, but about commencement speeches...
Marvin Minsky spoke at my graduation. It was around the time when it seemed like genetic therapies might solve all kinds of problems, and there was a big debate, moral objections, etc.
Most of the talk was a rambling rant against religion holding us back from scientific improvements to life. It did not go over in the mostly christian crowd. I loved it.
I saw him give a graduation speech over twenty years ago, and to be honest, he was not a great public speaker then--he rambled and lost the plot. But twenty years is a long time, so he may be amazing now! I love the quote.
Anecdata, but of the clips I've seen going around from Woz's speech, there were quite a few comments from people who claimed to have been there for the whole ceremony, most of which said that he was rambling and all over the place lol. Not bad necessarily, just that they felt like he wasn't really all that engaging, they were bored out of their minds, and some barely even knew who he was. Again, internet comments, so take that for what it is, just tossing my own pointless internet comment into the mix!
I've only been to the low tens of graduations, but in my experience this is pretty common for a speaker. A couple highlights and otherwise a little boring :)
Now of course, there are exemplary speakers who keep you engaged the whole time, but they're rare.
In my case, I was not even graduating, I just heard that Woz was speaking and decided to attend. I don't regret attending, as I managed to get a picture with Woz after the ceremony and thank him for his amazing work, but the speech itself was extremely forgettable.
I also saw video of some school president being booed so badly that he never actually gave the speech, while some other admin had to come hold his hand and yell at the tuition paying students.
Ah, here it is. It was CalArts: https://www.youtube.com/watch?v=C0vTVWyY47s
What did he do to deserve this, there’s no context?
Would you prefer the harsh unpopular truth of Erich Schmidt, or a sweet (unintentional)lie of Wozniak?
Because a lot of resentment people have later in life for career choices and failures in their adulthood are based on advice from their youth given from out of touch councilors and boomers who told them them sweet lies like "you can be anything you want to be if you just work hard and apply yourselves, the world is your oyster, etc", which turned out to be BS once their rubber hits the brutal road of the present day competitive jobs market, and the way the government backed system rewards asset ownership over labor, meaning a wrong choice here makes the difference between a homeowner or not.
The housing and tech jobs market today isn't the one Woz had in the 1970s in the bay area. There's a big chance his way of thinking that got him to be the cofounder and CTO of Apple back then would get him chewed out and spit out in the jobs market of today, just like how famous FOSS devs of tools that Google use internally couldn't even get past the resume screen at Google to get an interview. Same how I love my parents and they love me, but their out of touch career and life advice did more harm than good to me, even if that's not what they intended. Just like Woz, they're not malicious, but the world is much harsher today and moves faster than what older people who had it easier in their day can comprehend, so you have to take their advice with a generous portion of salt.
Ultimately just like councilors and boomers, it costs Woz nothing to BS young people with speeches filled with idealistic hopes and dreams that sound good and get cheers, since his set for life financially, only doing computing today as a hobby for fun, but he's not gonna be the one sending resumes looking for jobs based on his own advice, dealing with 7 stage interviews, and then wondering why he's getting rejections and how he's gonna afford rent.
As a Embedded programmer and HW tinkerer, I hate Schmidt and I like Woz, as people I mean, but I'd rather base my important life choices that affect my ability to get a job and pay rent on harsh truths from successful business sharks that I hate, rather than nice sounding but broken fallacies from people I respect. I'm old enough to have lived through this once, and if I were to have the chance to go back and try again, I definitely would pick the other side this time simply based on the fact that the people who did pick the ugly pragmatic side rather than the idealistic side, pulled out ahead, and they always will because that's what the world rewards.
>Would you prefer the harsh unpopular truth of Erich Schmidt, or a sweet lie of Wozniak?
What Erich Schmidt is doing is not about describing hard reality. He is trying to make a particular version of the future come true by painting it as inevitable. It's literally a propaganda technique.
"The future is already here—it’s just not very evenly distributed."
AI has made my life so much easier. If I need to change non-standard lightbulbs (e.g., G9, MR11, A19), I'm taking a picture and asking my AI what kind are they. If I need to create the first pass of test scripts, I ask my AI. It's reduced technical debt and let me focus on the things I care about.
I imagine how you intended your comment to come across and I get it to some level. But I can't help to feel that there's something a bit dystopian in a world where all friction is removed just to more quickly get to the juicy bits.
Nitpick, but it's not <your> AI. Would be nice if that were true, but it's not
> It's reduced technical debt
I think that's a misunderstanding of the phrase.
AI may have reduced your immediate technical burden.
However AI, if not carefully used, increases technical debt because it builds up a vast heap of code and business logic that nobody understands. The agent that created it forgets about it once it's out of its context window, the programmer that scripted it just knows it passed some tests.
In two, five, ten years from now trying to maintain that vibe-coded slop will be a battle between various agents making conflicting changes and some poor human trying to get it into a shippable state.
You are completely right that AI can be misused/abused. If done right it can fix things like code bases that were created by multiple people and groups each with their own conventions. Before I had to know which group did what to know the variables. Claude fixed that.
There used to be pushback to have 100% test coverage. If you don't have that, then you can't merge. AI can write the tests but a programmer must own them.
I've been making some good use of this stuff, but identifying light bulbs, really? That wasn't exactly difficult in the Before Times.
The G9 was completely new to me. Sure I could try to figure it, but I'd rather be focusing on the things I care about. This is the thing that I'd historically procrastinate.
To quote Adam Grant, "Procrastination is an emotional management problem not a time management problem"
As the old joke goes, "How many output tokens does it take to change a lightbulb?"
"AI has had a limited improvement over my life, so I'm happy fucking over the rest of the world by polluting water, using huge amounts of energy, and reinforcing class hierarchies, just so that I can change a lightbulb a bit easier" is peak tech-bro
I agree Woz is a sweet lie how everyone is unique and a snowflake. But regarding "you can be anything you want to be if you just work hard and apply yourselves, the world is your oyster, etc", I think the problem is the work hard part.
Plenty of people have the wrong dreams, like being an influencer, but how many actually work hard. Like spend 60 hours a week analyzing youtube videos to find the perfect thumbnail or spend time learning every aspect of production from design, lighting, pacing and everything in between. Probably not a lot. And chances are if you do spend the time (on even a vapid dream like being an influencer), you'd do pretty well and learn a very valuable set of skills.
My experience is the bar is pretty low. It's hard enough to find someone that's competent in their field of expertise and is easy to work with. A lot of people are just missing the basics. They don't put in the work or are willing to take instruction.
A lot of people work extremely hard towards their dream to fail. Which is fine, but when you start out life being told if you just keep trying and it'll happen then it can quickly destroy the golden years of your career/life. This is often varying per goals too. Just because you love football does not mean you're going to be able to be a pro player just because you spent every hour on it. You're probably better off e joying football, doing enough to get a scholarship, and finding something else to build your life goals around.
If you want to take yourself from where you are to the best chances at your dream, work as hard as you can towards it. But it's also more than fine if you don't want to take that risk, you can often have a perfectly good life without working yourself to death on the promise it'll make your dreams come true if you do.
> how famous FOSS devs of tools that Google use internally couldn't even get past the resume screen at Google to get an interview
As a former Googler, Homebrew was not ever officially supported at Google, or even particularly recommended, particularly because you were not allowed to store source code on your laptop anyway. Homebrew was definitely not used in any production-critical workflow. It's more accurate to say that some Googlers used Homebrew (I myself used Macports and never encountered any additional friction). Homebrew at that time was also unsuited to anything like Google's scale, so it's no surprise the author didn't get any brownie points for it.
Truth is the wrong word for a future outcome. But…
Weren’t Schmidt’s comments on AI the harsh “truth” from the perspective of someone who directly benefits from the wealth extraction capabilities of AI?
It’s not the only possible truth. And definitely not the one I’m rooting for personally. That’s what you are hearing from the audience of graduates who are probably quite fearful of their future and also prefer another possible truth.
Not only benefits from it, but the very one causing it to happen.
I can't upvote this enough. As has been attributed to the Roman stoic Seneca: “An enemy is a bad witness to your merits, but a good one to your defects.”
Doesn't that just mean that the merits will be unspoken and implied by what the enemy is saying as they speak to your deficits?
If I'm short with a bad temper, then implicitly I'm NOT a bad enough public speaker, or that would have been mentioned top of mind.
As much as it costs Woz nothing to be AI sceptic, Erich Schmidt has to loose much if AI investments don't deliver.
https://www.cnbc.com/2025/01/21/eric-schmidts-family-office-...
Only correcting this because I’ve seen three people make the mistake now - it’s Eric, not Erich.
more like Erlich ;)
Which, one might argue, shows he believes it.
He's putting money where his mouth is.
Up until the reality of the technology doesn’t align to the expectations and promises. That’s when true belief shifts to hype and lies in an effort to salvage the investment. I think that’s where we’re at now.
For people like Schmidt I think the hype is a true belief. You can see it in his posture and tone while being booed by the entire crowd. I’ve only seen that kind of self-satisfied smugness from evangelical religious nuts right before they tell someone they clearly regard with disgust that they’ll “pray for them.”
Their view of what AI promises is some kind of secular eschatological fantasy that’s only partly rooted in anything the technology or methods do.
Yea, it's the smug grins from these guys that I can't stand. It's not enough that they won and they know they won, but they have to rub everyone else's noses in it, too.
agree but it is military thinking that makes him smug like that
More like his mouth goes wherever the money is.
Obvious to the grads he’s yet another “visionary” corporate hack waxing to them about how they’d better not miss the AI rocket ship.
Eric Schmidt has no clearer a crystal ball than Woz has; to say one is telling the truth while the other is lying is not particularly objective of you.
How can you be sure Eric Schmidt is telling “the truth” and Wozniak is lying?
What’s your rationale and on the basis for such a claim?
The economy
And famously, the economy never changes course. Something, something, stocks always go up.
Do you think AI will go away and suddenly businesses will start hiring people back?
Or that a competitive startup won't lean on AI to get ahead?
Doesn't matter how much stock prices move up and down...AI is here to stay and no amount of booing changes our desires to compete.
The world doesn't hold hands with anyone, there is no global consensus, no policy.
I recall all the bemoaning when IT jobs started going overseas... businesses always go with the cheapest labor.
The world is dog eat dog, and those that prepare for the future are better equipped to deal.
It's a massive long shot pipe dream, but we might somehow end up with legislators who have backbones and actually represent the people, and they'll enact regulation to reign in the applications of AI, provide a safety net for the millions who will be affected by it, and/or at least find a way to spread the prosperity that comes from AI across the population rather than into the hands of the few. I'm not betting on it, but it theoretically could happen.
> Or that a competitive startup won't lean on AI to get ahead?
Specifically, with the way both economy and politics is structured, everything will be about big corporations with centralized power. A competitive startup leaning on AI getting ahead will be either destroyed or bought.
>The world doesn't hold hands with anyone, there is no global consensus, no policy.
It is totally holding hands and helping out - to Schmidts, Trumps, Musks, Epsteins. Just not to poorer people.
> Do you think AI will go away and suddenly businesses will start hiring people back?
In fact, with well run economy that systematically prevents monopolies, yes it tends to hire people no matter what technological level. Currents state where few super powerful companies are able to push themselves into everything and create monopolies via dumping prices, even as they are not profitable and can count on their friends in administration to bail them out once if all goes pop is the ineffective economy.
The economy looked really good before the dotcom crash too. The crash didn’t make the internet go away, but it damped the hype and blind, unchecked optimism that was leading to some rather short-sighted decisions.
Right now so many companies are trying to use AI just to use AI, rather than using it when and where it actually makes sense. This is the big thing that drives me, and I think many others, a bit crazy. I don’t expect a bubble pop to make us go back in time to 2022, but I expect it will put an end these the AI mandates, token maxing, and other foolish behavior.
A lot of businesses depend on the Internet.
AI will be the same in the future. Not sure what to say about the ups and downs of stock price, or hype cycles.
> The crash didn’t make the internet go away, but it damped the hype and blind, unchecked optimism that was leading to some rather short-sighted decisions.
The crash did not make the internet go away. I don't foresee a world where we will go back to the pre-AI times either. In the same way that post dotcom crash, you would be a fool to not have your business online, I think we will find similar things to be the case around AI. Even if the bubble bursts AI is here to stay and that will have major consequences for labor.
The irony of the dotcom crash is that a lot of 'dark fiber' service started rolling out decades later. Fiber that was laid during the dotcom era.
There are lots of datacenters going up in similar fashion. I don't know if they'd have the same utility decades later (very unlikely), but it's interesting.
Economic, market and product results.
Schmidt took Google to the moon financially, speareding projects like Chrome and Android that cemented Google as THE tech titan(couch monopoly cough), whereas Woz was a top HW engineer of his time, but Apple would have quickly failed if he was at the helm calling the shots, instead of Jobs.
From which would you take advice, the successful entrepreneur/investor, or the nice hacker geek who was a one trick pony with the Apple computer but hasn't been in touch with the tech economy and jobs market for decades?
> From which would you take advice, the successful entrepreneur/investor, or the nice hacker geek [?]
The nice hacker geek? By the way, the Woz has a net-worth of 140MM, so he's more wealthy that the vast majority of "successful entrepreneur/investors", and also vastly more beloved than virtually all of them.
In any case, that's a false dichotomy and actually the wrong question entirely.
Woz should have a lot more money than that for being such a large early shareholder of Apple, so that actually speaks poorly to his reputation as a "successful entrepreneur/investor". Some of the reason why his net worth is below expectations is noble (giving $10m of shares to early employees), but most of it is not - 4 marriages as opposed to Steve Jobs' 1 marriage, an impractical attitude in general, and never having any success after Apple, even as an investor.
>By the way, the Woz has a net-worth of 140MM, so he's more wealthy that the vast majority of "successful entrepreneur/investors",
So are a lot of people who invested(gambled) early in Bitcoin and Tesla, that doesn't mean people should take career advice from them just because they managed to make a lot of money.
But if you design and developed several successful tech products in your career, I think people should at least listen because it's a pattern rather than just luck.
>and also vastly more beloved than virtually all of them
So is Taylor Swift, that doesn't mean people should take career advice from her.
When I look for people to take advice from I want to see a pattern of home runs, that they can deliver successful products repeatedly, like Erich Schmidt or Steve Jobs, not one trick ponies like Woz who managed to get lucky once in a completely different era, then coast the next 50+ years on past glory giving speeches.
Again, I really like Woz as a person, he's my spirit animal, but that doesn't mean he's correct and in tune on the status of the tech market, the challenges people and entrepreneurs will face today. His experience being a HW tinkerer in his garage in the 1970's isn't relevant anymore today. The world has changed massively since then.
A more modern day woz would be Palmer Luckey of Anduril. Love him or hate him he's more up to date on what the industry rewards today if you want to be a garage tinkerer made billionaire entrepreneur founder than Woz.
For those of us with more modest aspirations, listening to a cool person talk about cool stuff is a far better of use of time and attention.
Right? OP asked a very subjective question on a public forum and is bristling that other's worldviews/desires/goals are different from his.
Funny thing about Steve Jobs is that he actually didn’t deliver a single home run until his return to Apple late in his career.
The Apple II was Woz, the Mac was okay but mostly got shepherded into what it was by the other Apple leadership, the Lisa was a flop, Pixar he was an investor but was mostly Lasseter’s baby, NeXt went nowhere until the Apple acquisition.
The guy had somehow managed to make a successful career out of shipping very opinionated, interesting, and cool products that were commercial failures. If you were going purely by commercial performance you would not have picked him, you’d be picking him based on that ineffable reality distortion field of his that makes you BELIEVE everything he’s doing will change the world.
Did you forget Pixar? Jobs transformed the company with his extremely bold bet on Toy Story. They were doomed to obscurity without this big bet and now all children's movies are made this way.
I want advice from the one questioning whether we should, not just whether we can.
OK, and who's stopping you? Take your advice from whoever you want.
History tends to shows the pragmatists wiping out the luddites out of the gene pool/business market, but you are free to make your choice the way you see fit, nobody is forcing you to follow anyone.
Wozniak, every time. Gigantic financial success at the expense of everything Google has negatively impacted isn't something I would be proud of.
Everyone defines success differently, and Schmidt's "success" is, frankly, unappealing and gross to myself and, I'm sure, many others.
There's a lot more to life and the world than the economy and massive financial gains. Focusing on "economic, market and product results" yet mentioning nothing about the impact to people and customers is how Zuckerberg sleeps at night, and that's ugly to me.
I'm fairly allergic to advice in general, but if I were to take some, I'd take it from the happy extremely rich guy over the ridiculous ultra rich guy.
Google turned from company that at least pretends to not do evil ... into one who does it without care.
I think that taking advice from a sociopath able to amass a lot of money is usually bad idea. Their advice is designed to make you make him a lot of money. His advice is not about what is good for you - he does not care. And if you succeed you are his competitor.
TBH this is also how I feel. There is no way to put the AI genie back in the bottle. There will be sweeping changes in society because of it. Fighting against it is seems like a fools errand imo.
Trying to limit harm of something that is likely to happen 100% makes sense.
I agree, this is why you need to tell students a realistic outlook. And of these two I believe Wozniak is in fantasy land and Schmidt is much closer to reality.
It's not that hard to "read the room" when you're a humanist, and not a sociopathic tech CEO... you just speak your mind, and you realize that your fellow humans are onboard with you
Where's a link to the actual speech? There's no link in the article. Surely you saw the speech to comment how strong of a public speaker he is, and it wasn't based off this one line right?
I'm sorry but that one-liner is reddit level cringe. I want to see the actual speech and more of what he said rather than one line.
Unsurprising he'd be cheered for saying what they wanted to hear.
But perhaps whether or not his stance is correct, the students needed to hear this. They (we) have to believe human brains still have value and find a way out; for otherwise there'd be no point to try anymore.
> They (we) have to believe human brains still have value and find a way out; for otherwise there'd be no point to try anymore.
Our value isn't predicated on our utility. The simple fact that we are sentient beings, capable of joy and suffering, gives us value. This is why we continue to support and care for the elderly and the disabled - we value them regardless of any practical utility we may derive from them.
If you go through life believing that your value depends on your practical utility, then things like AI are an incredibly scary existential threat. But denial is not a healthy way to cope with this threat. The solution is to recognize the value inherent in us as humans, and to demand public policies that reflect this fact.
> The simple fact that we are sentient beings, capable of joy and suffering, gives us value.
People will understandably ask, what is the actual value of being capable of joy and suffering?
I frame it another way. There is value in affording all beings dignity, respect, and the opportunity to thrive. The question of our individual value as a being is undignified. People can be more or less valuable to a particular effort, but there should be no question about their worth as a person. It should not be a part of how we understand people and ourselves.
It is a healthy conclusion that your value doesn't depend on your practical utility, because that will come and go and is sometimes beyond your control. Your value isn't a question at all.
There's no value in life, but life should be allowed to exist. Who's to say otherwise?
The lifeless dust and rock of the moon is an simpler value proposition to quantify than the messy intrinsic value of overlapping, ever-changing life here on Earth.
"A cynic is a man who knows the price of everything, and the value of nothing." - Oscar Wilde
Or one I prefer, though unattributed: "If the only lens through which you can view life is value in currency, that which is priceless becomes worthless."
> A cynic is a man who knows the price of everything, and the value of nothing.
So the opposite of a Lisp programmer then!
A view that is not shared always by LLM cheerleaders. Part of Sam Altman's defence of the environmental impact of AI is that it is less than that of a human life.
"He said it was unreasonable to focus on "how much energy it takes to train an AI model, relative to how much it costs a human to do one inference query."
"It takes like 20 years of life and all of the food you eat during that time before you get smart," he said. "And not only that, it took the very widespread evolution of the 100 billion people that have ever lived and learned not to get eaten by predators and learned how to figure out science and whatever, to produce you."
https://www.theregister.com/software/2026/02/23/altman-you-t...
His human costume is really starting to fall apart at the seams, isn’t it?
It took a 100 billion people and their knowledge,experience to generate the data to train an AI. So that cost also comes under the environmental costs to build his version of AI.
unless he plans to freeze the training data at this point and use that for another billion years, the cost of building AI will always be more than the cost of humanity.
It's odd that whenever someone discovers a way to generate value from public noise, costs already paid, that they feel like they are being stolen from even though PPP for the average person will rise due to AI, not fall.
Every year half a million children die of diarrhea. There are so, so many people in the world, who are capable of joy and suffering, who "we" don't care much at all. However I have a feeling that "we" might be joining that group eventually.
Still, it’s vastly fewer now relative to the total number of children born than any previous time in human history. It could be even fewer had birth rates begin to drop instantly as a response to child mortality dropping dramatically even in most developing countries, rather than with a few-generation delay.
> Our value isn't predicated on our utility.
In the moral sense, sure.
But our modern day capitalist hellscape has made it extremely clear that if you aren't capable of providing value for shareholders, your life literally has no value. That's the reason the US government keeps cutting welfare programs, why union suppression exists.
The fact of the matter is that unless you are producing value for shareholders, you don't get to participate in society and are left to starve to death. No amount of flowery language is going to feed and house the unemployed. And we are running full speed into a situation with the explicit and overt goal of cresting as many unemployed people as possible while simultaneously ensuring that there are no resources or help offered to those unemployed people.
Flowery language will cover up the starving bodies in the streets the same way a can of febreeze will cover up a landfill. This is an enormous problem and if we don't fix it, people will die. Whether or not a human has intrinsic moral value by simply existing, we require money to survive in this society. A human life may be a mystical beautiful and valuable concept, but our society has determined that if you don't have money, you literally do not deserve to live.
That's what these students are so angry about. They're being pushed into a world that refuses to employ them and which delivers a death sentence for the crime of unemployment.
You're conflating society with the white collar job at hand. Yes, if you don't provide value for shareholders, your life is worthless _to that company_. The company is in the business of making money. The businesses goals are a microcosm; a small subset of society. There are many other ways to live (and live well, I might add).
THIS is going to be the limitation of capitalism. Capitalism isn't compassionate. It's a really good economic framework though, so it will be interesting how that's reconciled in the coming years
I don't think that's quite right, unless you personally value joy for its own sake. I value knowledge, and joy is useful to creating knowledge, and suffering is harmful to it. But I don't want to have some futile joy, and I don't need to avoid some irrelevant suffering.
Otherwise you get effects like;
* Just take drugs, feel meaningless "joy" because that's what you value,
* Don't do anything less "joyful" even though it's more meaningful.
I'll admit that knowledge isn't practical, and you can't always identify when you're creating it, and a lot of people don't think in these terms and there's a lot of intuition involved, along with societal mores about caring for people which help the growth of knowledge as general rules without getting all bean-counting about it. But I think it matters that hedonism is an incoherent motivation and that creating knowledge is a far clearer one (and hedonism tends to turn into creating knowledge, anyway, if you like meaning). Hedonism, utilitarianism, same difference.
You could make the point that teaching, and thus furthering the collective knowledge of our species, may be somewhat objectively meaningful, because you impact the trajectory of humanity. But unless you draw joy from that specific fact alone, the joy from creating knowledge is just as selfish as taking drugs to attain a state of bliss (which, again, I don't oppose either.)
Also, I'd even challenge the notion that knowledge alone, at its face value, automatically equates to a benefit for humanity. Harari has made that point far more eloquently than I in Nexus.
Oh, the Sapiens guy. I read Sapiens, thought it was OK, then other people picked holes in it and persuaded me that it was worse than that. But I suppose that doesn't preclude this Nexus book being good.
But anyway I agree: motivations are arbitrary. Why you even got to do a thing? Just sit and be sessile and die. (This is not a personal attack, or recommended.)
I rely heavily on an assumption that we do all have more or less the same set of values - but this might be cultural, not biological: it's hard to get inside the head of, say, Aztecs, with whatever strange non-modern values they had.
I also make an assumption about knowledge being central among those values, although it's definitely not all that, and some people will say they don't even consider it. But I think they are doing anyway, if they live in the world as we know it.
Side comment: you've made "joy" separate from "bliss" and "meaning" separate from "knowledge", and then there's some undefined "benefit for humanity" that might not be any of those things, along with the apparent value of "impacting the trajectory of humanity" - is that good, just impacting it, in any non-specific way? lol terminology.
The problem with public policy is that it allows other countries to get ahead of you. 'AI' isn't just a tool, it's also a race.
What do you win at the end of the race? I've never heard it concisely put. 'Dominance' is the word that comes to my mind, but I don't want to put words in your mouth and don't really know why that would inherently be a valuable trophy, so that's probably not what you were thinking of, right?
The bigger race is education, which some countries are really falling behind on.
That is always going to be a personal race. You can get in the currents of education, but your success will always depend on your own paddling.
Why should we care about that? Even if you wanted to argue our individual fates are tied to our country's, we don't all live in the same country, so how, actually, could we all care? Are you really convinced its so zero sum like this?
We collectively spend decades and decades creating a sophisticated global capitalism, huge networks and infrastructures of trade and travel, just to find ourselves in some dark forest-esque race with everyone else anyway? Is this really consistent to you? What was the point of anything in the last, like 40 years to you if we just need to act like we are still in a cold war, except this time its a war with everyone?
We're you around for the space race?
It's a world prestige thing, and also a competitive edge, for better or worse.
"Other countries" means China here, I think. China got a little on board with the global capitalism (and lifted 800 million people out of extreme poverty along the way, if we're looking for the point), but never really embraced Liberalism and so ideally isn't the one aligning superintelligence. It would be lousy if Russia or North Korea or Somalia was in that position and it would be fine if the UK or Denmark or Brazil or Ghana was, but none of that matters because none of them will be in that position. Only the US and China are playing the game.
If this speculated intelligence is so "super" why would it matter what its host country's commitments are? I would hope it would at least be intelligent enough to sort things out there? How can something be so potentially threatening, so "super," but also be like a baby, where we need to worry how its raised? Its super intelligent about everything except ideology? That doesn't really sound like (super)intelligence to me, it just sounds like a bad SciFi premise.
But ok, even granting that framing, if the issue is China's placement on the spectrum of "liberal", what would it take for them to be the good enough guys here?
And it's a pretty big game
"Value" is a word with many meanings. Your value as a human or a living being may be very different from your value to your employer or your value to the taxman or anywhere else.
It is very easy to get lost in between them, especially when listening to a good speaker who can flitter between those meanings at will.
What is worse is that those values interact. We indeed we continue to support and care for the elderly and the disabled, but only up to a point, and there is a reasonable discussion how exactly should countries divide their limited resources between vulnerable groups, including families with young kids. In that context, the future economic and societal value of a 5 y.o. vs. a 85 y.o. inevitably creeps up.
> Our value isn't predicated on our utility.
Yes it is. If human life was inherently valuable then the concept of poverty wouldn't exist because the entity that sees it as valuable would be willing to spend resources on maintaining it.
> The solution is to recognize the value inherent in us as humans, and to demand public policies that reflect this fact.
Most social programs keep expanding until they become unsustainably expensive. You can't just make a law "everyone gets free money" and expect this to have no negative consequences.
If human lives weren't inherently valuable, the concept of charity wouldn't exist. Where does that leave us? I think probably the line of argument doesn't work in either direction.
Likewise, most of the time you don't have social programs, somebody will introduce social programs. You can't just say "no social programs" and expect this to have no positive consequences... okay this is falling apart a bit, but the point is, what makes 'not expanding UBI' so much harder than 'not introducing UBI'? If you can convince people that introducing UBI will lead to expanding UBI and that that is bad, what's stopping you from just convincing them of the latter?
Blame Dario, guy has been building something great, while selling snake oil.
Having great tools means more impressive solutions, not fewer blacksmiths.
Something changed with Dario a year or so ago. I think he started out with good intentions, although really hard to tell. Maybe it was really all about power and control for him from day one. Certainly now he's a different person - appears totally corrupted by money and power.
Dario used to at least emphasize the potential positives of AI while being worried about the negatives, but unlike Hassabis/DeepMind he has done nothing to bring about the positive part and is now just accelerating the harmful part as fast as he can. Google is an AI company, bringing us things like AlphaFold, and Anthropic (also OpenAI) are just LLM companies.
I spent more than half my day yesterday telling Claude to correct itself because it did things I explicitly told it not to do in my prompt.
“You’re right - I overstepped”
Is the new “You’re absolutely right”.
I don’t know if we can qualify something that actively goes against the explicit instructions you give it as “something great”. It just sounds like Dario is building snake oil and selling it too.
I have a script at work that writes out some config files and I'm having Claude run them after making changes. The script if it detects breaking changes will spit out a message saying what the breaking changes are, and not do anything, telling you to rerun it after validation with the override flag.
If I don't tell Claude about this behavior, it ignores the script output and lies about passing tests that validate if the config files were regenerated.
So I added to my prompt instructions to observe it, and if it sees that message, double check its work and then inform me and ask what to do before proceeding.
This has had the net result of Claude either running the script with the override flag from the get go (explicitly forbidden) or it seeing the message and convincing itself that the override is warranted and running it a second time with the override flag. It's never once stopped to ask me what to do like instructed.
This is one of a few reason I strongly prefer GPT and its codex variants. It seldom frustrates me, sure its not omnipotent in any way, but it just feels very "tuned in" when it comes to understanding intent and scope.
Imagine worker that did loop of "you're absolutely right -> same fuckup again" multiple days every week, wasting time of whoever told them to do the task
They'd be out of company after a week
> They'd be out of company after a week
I really wish this were true.
Such workers exist. AI is cheaper and faster than such workers, though, so management might still like them. Ugh.
I do want to fire Claude at this point and switch to Codex. Unfortunately the guy with the purse strings is ride or die full Claude psychosis and our business can’t afford to just buy anything and everything for funsies.
Contractors?!
Blacksmiths is not the best analogy here.
Why not? Blacksmithing and coding have a hell of a lot in common. In both disciplines toolmaking is extremely important. Often you have to make custom tools to accomplish a design--e.g. a twisting wrench or a form tool. Sometimes you have to make tools that get used once and thrown away, like a jig temporarily welded to a piece to hold it in place while you build its sibling assembly. Sound familiar? I do this kind of thing all the time in code.
Another similarity is the relative simplicity of the underlying structure of the system. You essentially have two hammers (one small one you swing with your hand and another big one that is planted on the ground), some material, and some heat. You build the rest.
Another similarity is the resistance to automation. A skilled blacksmith is a versatile worker. You can create assembly lines to automate any one thing they might produce. The end product will not have the same quality--it will not truly be wrought iron, each piece will not be unique, there will be nothing of the aesthetic taste of the artist in it, but if you're just some bean counter who doesn't care about those things you'll be able to sell it. But if you need the optionality to produce any of those things.. automation is not your friend. And some things just cannot be automated, at least not without extreme costs or very poor results--shoeing horses comes to mind.
No AI company is addressing the elephant in the room that you need someone experienced constantly monitoring any agentic workflows. This means that the cost savings of agents are a myth.
My company actually did an internal study of agent usage for coding and found it only improved productivity by 10-20%, basically on the same level as good code templates or an autocomplete.
I don't believe there will ever be any artificial intelligence, not with Markov chains (next token prediction), not otherwise. Especially not now when the current ML hype is already winding down. And yes this is a matter of belief since I don't think any science precludes agi from existing nor is there any reason to be sure it could someday materialize. I honestly would rather believe societal collapse hits us before agi can even be theorized.
I don't believe there will be self driving cars that will be perfect and never get into any accident or cause someone to die.
That does not matter when discussing its practicality; or whether they will cause drivers to lose jobs.
>I don't believe there will ever be any artificial intelligence, ...
Sounds like you're talking about AGI, not AI. AI is here today.
AI was here in the 1970's too for that matter, in the form of expert systems. "AI" is the label that perennially gets applied to whatever current technology does something that was previously considered similar to human intelligence, then later on gets removed and applied to something new.
You'll know were making progress towards AGI when LLMs start being called LLMs again, and something new starts being called AI.
"AI" is a marketing buzzword. Real AI doesn't exist.
A thing that people have chosen to call AI is here today.
That just continues a tradition of moving the goalposts for "AI" to just beyond what's currently possible.
Kind of, but I wouldn't exactly put it like that since AI has never meant anything more than automated intelligence/decision making of some sort. The bar isn't moving, just this almost meaningless label is just forever getting slapped on the latest shiny new thing.
You could legitimately call a thermostat "AI". Expert systems were previously called AI. Today it's Large Language Models. Tomorrow it'll be something else.
If you want to lean into the lie, you do you. I will not.
Woz is a different kind of geek, appreciates the craft, and can sort out the cruft out of it.
AI will be there, but it'll transform. When I say I don't use AI (i.e. LLMs, chat interfaces, agents and "autocomplete") for coding, research and whatnot, people label me as a luddite. The fact is I know how to use them. I test them from time to time. Occasionally these tools help. More often they hinder.
"Resistance is futile, hand your brain over!" is a hype filled dystopian fatalism noting that future is inevitable. It's inevitable. You can use this correctly, and we don't got back to our senses to understand how to use this correctly and efficiently.
We are just cooking our planet right now, with heat, poisoned water and slop.
Auto-complete on steroids, is still my favorite analogy for AI. I don't mean that in a negative way either. Autocomplete is very good, but that never stopped me from learning English grammar and spelling.
Quite right. I'm worried about the impact that LLMs will have on the learning process, especially in programming, but also in writing. Programming and writing are both skills that seem simple, but take an absolutely staggering amount of practice to master.
Think about how much your own writing (and programming, if you were lucky enough to start early) evolved from, say, age 12 (when a lot of smart kids start to tackle 'real' books) to age 18 (when you supposedly have a good enough education for 50% of work in most countries) to age 25.
All of that evolution is a direct result of one thing: practice! But with a magic answer box available in everyone's pocket, it'll take truly Herculean effort from a learner to actually grind through the practice instead of just cheating for an answer. I really worry how much an LLM user will actually comprehend their own code or even prose; if you've scarcely written a line of code, how can you really understand what's going on in a debugger? If you haven't done the legwork of writing essays and constructing coherent arguments and comprehending grammar, how will you ever communicate effectively?
Maybe I'm just a dinosaur and these kids will sail a whole level of abstraction above my own understanding of writing and programming, much like how my own generation preferred Python to C, and how the previous generation evolved from assembly to C/BASIC/etc. But then I come back to those missing fundamentals, that empty mental model. It's not like my English or CS teachers had me grind through essays and implementing linked lists and Djikstra's Algorithm for pure busywork. They did it because practice is the only way to truly immerse a student in a practical subject. Maybe it'll work for programming, as long as LLMs get good enough that you can always ask them to fix low-level errors for you? But it seems unlikely to work in prose. And even those generational programming jumps I mentioned (assembly to C to Python) were lossy; most kids I went to school with would be absolutely useless writing C code, and even as a bit of a dinosaur I'm pretty awful at even debugging assembly.
Like you said: you still need to learn grammar and spelling. And I suspect a whole skill tree of other fundamentals!
One angle I'm exploring, as a non-dev who nonetheless works in tech, is using Claude as a professor. Make learning timelines for me for Leetcode, break it down in phases, start with theory, ask me questions, then give me a coding challenge. Save that to an html artifact I can export and read on my phone.
It still gets things wrong, I can tell as I get through problems.
But it was either that or that dreary 'Cracking the Coding Interview' book. At least I'm learning fundamentals by asking question after question and making it track the concepts I had trouble with.
That's one use. Will most people use it to learn? Probably not. But most people are ... most people.
The way I think of it has evolved a lot over the last 5 years. At this point I think human brains probably do something analogous to next token prediction when we think. For all the hype, I think LLMs are actually more, not less, intelligent than that average person realizes. I think it’s legit, actual intelligence, not just “artificial” intelligence. That may be a hot take but it’s just my perception.
> At this point I think human brains probably do something analogous to next token prediction when we think
That's reasonable, but it doesn't mean that LLMs are close to being brains.
For a start, when humans think/talk, we often think ABOUT something - whatever is swirling about in our mind, or what we are currently seeing/feeling/etc. An LLM generating tokens/words is doing so only based on it's weights and the word sequence it is currently generating ... the human parallel would be more like a rapper spitting out words based on prior words, essentially on auto-pilot, or when we get triggered into spitting out stock phrases like "have a nice day".
If you want to compare an LLM to a human brain, it's basically equivalent to our language cortex if you ripped out all the external connections and ripped out all the feedback paths that make it capable of learning.
Of course there is a lot more to our brain than just our language cortex, but that alone should make you realize there is no real comparison beyond the fact that our language generation is also going to be based on prediction, and partly auto-regressive.
We have spatial / quantitative and social / emotional aspects in our intelligence that are not at all like next token prediction.
If LLMs had shame, they'd surely not repeat mistakes (in the same context window) as much as they do.
Having shame would require the LLMs to actually be able to recognize mistakes they make.
People love to put a lot of meaning on what an LLM responds with when asked why it made a mistake, but it's critical to remember that the answer to that prompt is just another series of probabilistic tokens, and has no actual relation to how the error happened.
It's language. Language itself is the thing that makes us smart in the unique way that we are among the other animals, and it weirdly turns out to be transferable to machines to at least some degree.
At least 50% of humans have no "inner voice" and are not thinking in the same way as you. Many animals like dolphins, dogs, rats, crows are also very intelligent yet appear to only have primitive language capabilities.
A lot of human intelligence is really societal rather than individual, based on knowledge transmitted down through generations by writing (the real enabler). If you take that away then what you are left with is something more like an isolated hunter-gather tribe.
I personally think that the "inner voice" is a non-falsifiable claim, and therefore more of a religious belief that something which can be part of any materialist theory. In this regard, I'm a strict empiricist and wouldn't be able to claim that I have one myself.
Your point about writing is, to me, more evidence for the "it's language that's smart, not us" hypothesis. We start off in small bands of hunter-gatherers that store their intelligence in an oral culture. Language then jumps to clay tablets, papyrus, codex books, etc. The printing press allows it to escape containment to a wider public than just a caste of priests and bureaucrats. As soon as we invent automatic calculators, we start networking them and using those to process language, albeit in a primitive way (email, the web, etc.). Recently we discovered some abstruse math that, with the assistance of a bunch of beefy video cards, can crunch centuries of human writing into a mathematical object that encodes at least some of the meaning of that writing into an even more "advanced" symbolic processing machine. There's a clear trajectory of language itself getting more and more free of the specific wetware it grew up on.
It's a falsifiable claim, in that if there is a way to train a useful LLM from scratch without any human authored input language to bootstrap it (something I've been on the lookout for but haven't seen, though admittedly I'm not an AI researcher, just some Linux nerd with a day job as an SRE), then we can disprove it.
For the religious angle, look no further than John 1:
"In the beginning was the Word, and the Word was with God, and the Word was God."
(This is admittedly less falsifiable!)
I think you’re right but I wanted to note that we are discovering that other animals also have language.
> I think it’s legit, actual intelligence, not just “artificial” intelligence. That may be a hot take but it’s just my perception.
You might be redefining words here; there isn't a form of intelligence that isn't actual intelligence. It is all actual intelligence. Artificial in this context means it is something we're creating in a lab. LLMs can't avoid being artificial intelligence. The meaning of "AI" is to artificially create actual intelligence.
average person is absolutely awful judge on anything you put in front of average person tho.
And if anything, average AI user is vastly overstating how good/useful it is. Papers about it pretty much always show huge gap between "productivity person thinks they are achieving" and "actual growth of productivity"
Yes! We need them to have hope, but hopefully there can be substance behind it, otherwise it's like when the Hitler Youth got those badges before Hitler killed himself. In the sense that we are awarding people medals when their future is bleak
I bet Eric's used AI to review his speech, and it told him it was brilliant. He had never bombed before, so him being booed was not in the training data. In a sense, kids booing shows is exactly the difference between AI and our unpredictable mind. This is innovation as far as commencement speeches are concerned.
Actual intelligence is useless when decision makers send new weekly AI rules to be better employees. It’s race to the bottom. Race to an endless technical debt. Some companies will implode when codebases stop being manageable. The small minority will thrive. But majority not. I see it used in hardware world. Clever dudes without prior experience with software craft working Python scripts, automate tests, control hardware from rudimentary GUIs. That’s awesome. I see software companies sending internal memo requiring all code to be produced from prompts… It’s like steroids - cleverly used they bring more advantages, though one shouldn’t take double dose with every meal.
This too shall pass. Among my software engineering friend group bubble: Every single individual (~12 of us) are actively and seriously tokenmaxing. We have middle-managers who have been given an AI mandate, upper-managers saying "uhh...maybe that brush stroke was too broad" when they look at the bill every month, and zero people in that chain have the authority or even ability to roll it back. This week one of my friends cobbled together an agent that runs in an infinite loop, grabs whatever song they're actively listening to on Spotify, writes it in a file, then instructs the agent to emit tokens for 2-3 minutes on what that song and previous songs that day might mean for that person's mental state, like a little music-based diary. Repeat, run all day, 24/7. Kinda cool. But its just a way to use tokens, because the first thing all these AI labs built was a good coding model, and the second thing they built was a dashboard for admins to track how much their users are using the good coding model.
A TON of companies are getting looted by the AI labs and AI users. Many will not survive. I think Meta will be one of them (a shell of their former selves by 2030). The ones who survive to thrive in the 2030s will be the ones that are relentlessly focused on their customers and products, not the process. If you don't regularly hear both "AI would be awesome for that" and "actually AI probably won't be good for that", your company won't make it. You'll either get lapped by the companies who find the strong use-cases, or you'll get looted by infinite and aimless tokenmaxing. The path through the middle is far more narrow than most companies realize, and some major, major companies are waking up to that harsh reality; for some, too late.
It may be useful outside the current tech rat race. One possibility is that a decade of openly user-hostile business decisions will reach their logical conclusion even faster, and those that haven’t fried our brains with CC may be in a position to pick up customers from these behemoths as they disintegrate.
It is also possible to walk away from tech. To stop chasing the demands of anything for a buck and focus on something real.
Some people live paycheck to paycheck in tech. Where do they walk away to that isn't or won't be impacted by AI? Or are you assuming they have the financial support for such a risky switch?
Yes - it is easier than ever thanks to AI !
You don't even need to do anything: layoffs will hit you anyway.
I work in infrastructure (backups, networking etc) and no longer in software. I just don't see llms being that useful right now. If I have a problem and ask an LLM the answer is either fabricated or useless, rarely does it know what it's talking about. And yes I know how to describe the problem so that it has a chance to give an useful answer.
Also even with agents, you can't just try and error your way out of some (most) of the problems I encounter without doing harm if the solution fails.
Might be different if used for infrastructure as code or ansible or some such. That I can see.
Well Coding agents are being tackled. Infrastructure agents that would read your host event logs, device configuration, ilo, etc, etc - that is probably the missing piece.
Having a chat with chatgpt may give you clues or ideas when you have gone throught your own checklist of what could have went wrong, but can go only as far.
Agent on the other side will decompile .dll to find out issues if needed to go deep enought.
Providing access to the data is easy. It is just an MCP or equivalent, and coding such CRUD is cheap now.
Applying the actions is unsolved. Unless you YOLO the LLMs, taking stateful actions automatically requires a lot of protective infrastructure, solid testing infra etc.
It’s all just more code, but a “create me a shopping website” LLM is likely not going to be doing the infrastructure level thinking required to handle it for now.
Might be but I just can't imagine a customer being fine with a loose cannon agent in their environment. E.g. coding agents are ignoring instructions. Who is to say that Claudes solution to a, say, slow backup isn't deleting the backup?
Imagine an agent shadowing all your terminals, providing ideas and asking to run commands that will let it verify the hypotheses it comes up with, while at the same time doing research on vendor docs, etc...
Quite safe, and already a force multiplier - this would be a harness. Maybe have it be able to write to a shadow system with similar (ideally same) hardware to verify it's hypothesis on how the system works, etc...
Companies that use AI well will replace the companies that use AI badly. There is no world in which AI is not used extensively in all employment going forward.
I agree, with the caveat that I don’t think any company is using AI well at the moment, specifically because I think our tooling around AI is woefully inadequate and immature.
Right now the AI marketing paradigm is to create rockstar superusers who can (supposedly) do the job of hundreds of individuals at the speed of light! Which bleeds into the design paradigm, which is trash. I’m bullish on AI that can be used more cooperatively and collectively by a company.
You've somehow confused using AI well with using it extensively.
Sometimes using something well involves not using it at all.
not using it at all is no longer an option, companies that are not using it at all will die slow/fast death but death nonetheless.
Ironically, companies overusing it will probably die at a similar speed. Maybe faster, even, depending whether cash burn or technical debt catches up to them first.
100%
Right now LLMs are heavily subsidized. When that ends, the actual cost of the service may exceed its usefulness for many use cases.
I'm less sure of the fact that ending subsidized token consumption (in isolation) will happen and change this. I think we've seen this play out before with other tech companies where discounting early use ends up entrenching demand and allowing the company to build larger and more efficient infrastructure.
I'm slightly _more_ convinced (still not all that strongly) that the rising cost of memory and chips, data center construction that gets outpaced by computing demand, increasing energy costs, and low switching costs for customers will force the model labs to make changes that increase the barrier to entry (either via higher pricing, more restrictive rate limiting, etc.). or force their customers into longer term commitments.
> I think we've seen this play out before with other tech companies where discounting early use ends up entrenching demand and allowing the company to build larger and more efficient infrastructure.
We've also seen failures who were convinced "they would make it up in volume." I guess the bet is that infra will get that much more efficient, but it's not clear how much slack there is.
A lot - and over the coming 2 years, even more. Utilization rates are under 50% across the board, and special and cheaper chips are coming out all the time for inference. And a truckload of research - TurboQuant, HC (deepseek), etc, etc..
Maybe. But I used to have unlimited Claude Code usage but now I’m relegated to whatever the subscription happens to give me and when I run out of tokens I need to trad code until my limits reset. My manager saw the bill and nearly fell out of his chair. Small companies just can’t afford the added cost of AI at the real price (and we aren’t even in the real price territory yet).
Hell, even Microsoft is having trouble paying Anthropic’s API rates.
There is a ceiling to how much people are willing to pay for work slop. Just look at the backlash to GitHub Copilot’s token based billing changes.
I don’t want to live in a world where the barrier to entry on entrepreneurship is how much you can pay Anthropic or OpenAI.
Say the line, Bart!
If by "using AI well" you mean kill off customer service; maybe customers will want to switch to other companies that are more expensive but have customer service.
> internal memo requiring all code to be produced from prompts
That is absolutely insane. Thing is I can honestly believe that it happens, which makes it even more insane.
This is basically the next step of all the AI trainings and hacktons that many of us are now required to take part into, with KPI metrics on how each one is using their tokens.
Oh it happens all right.
It’s not like code base written by developers before AI were manageable. The term tech debt was there way before AI coding, and was mainly due to changes made by developers.
I see the point of your argument when this is done by inexperienced developers, as they wouldn’t know what’s happening but for those who knows and guide what has to be done, I don’t see much difference. It’s about understanding the outcome, and evaluating the risk.
Technical Debt is not a developer skill issue. It’s a management planning, capacity and budget issue. It’s a bet that the cost of servicing the debt will be less than the cost of paying for it outright with cash. I’ve been in the industry for decades and 95% of the dysfunction in an engineering organization is always management.
AI doesn’t really fix that or is really even that suited for it. In many cases it makes it worse.
That’s why you see software quality going down. Developers aren’t told to make better quality software even though AI does really make that easier. Instead they’re told to make more software faster for cheaper.
Cheap, Fast, Quality. Pick two. Business will pick cheap (short term) and fast every single time.
It’s a question of degree: technical debt has a carrying cost trying to balance features against your ability to support the codebase. LLMs change both sides of that equation but I think most companies are going to struggle with maintaining a balance when it’s so easy to push past concerns and get something which seems to work.
Tech debt is a debt taken to reduce development time. It's a time debt actually. Patching something that would work until the team has the time to do it correctly.
...and that time never comes in most cases. Because monies are earned in exchanged for that debt and, management cares about monies. They don't see that debt as important, or as debt at all.
This past fall I overheard a conversation between some high schoolers where one of the students was taking classes remotely for a while as she was dealing with some mental issues. She complained that while she needed the time away, it was just so easy to cheat with ChatGPT and be done with school for the day, and she went on to say that she really felt like she wasn’t learning anything and really was looking forward to returning to the classroom. This has stuck with me as the group of kids were just your average punk/emo high school kids.
Kids want to learn, they value learning, they get a sense of pride and accomplishment when they learn new things and concepts.
The kids are smarter than many of us think. We owe to them a world where they can feel hope and see a future. But much of the AI hype is built around declaring how dangerous and futile everything is.
The students cheering Woz is not about truth but about hope.
Wozniak has discussed his personal disdain for money and accumulating large amounts of wealth. He told Fortune magazine in 2017, "I didn't want to be near money, because it could corrupt your values ... I really didn't want to be in that super 'more than you could ever need' category."
From https://en.wikipedia.org/wiki/Steve_Wozniak
Stark contrast to other tech leaders...
Woz isn't some kind of monk. He enjoys his tech toys that he can only afford because he's rich. He's just bad at managing his money and lost a lot of it through multiple divorces.
It's easy for us to judge from the outside. It's also entirely possible that the quote OP posted is true enough to the point that he didn't "lose" it through multiple divorces, because he didn't care about it.
How do we know he wouldn't be happy with whatever tech toys he could afford if his wealth was significantly less? We don't, but it's possible, particularly when you look at his actions relative to his words.
Recently there was a flood of articles about "students are using AI to cheat". Now there's a flood of articles about "students are anti AI".
My first impression is that floods of articles do not accurately reflect the real world, but just show some facet of it. But if they are both correct and both are to be taken as real, should we expect that students will agree with academia and not use AI in their education? Might we see the return of traditional learning?
(Education is different than our industry. In our industry, most of those using LLMs are forced to by the powers to be. In education, the powers to be do not want the students to use LLMs.)
As a recent graduate, both headlines read as plausible and non-contradictory. Students right now are faced with two things:
1. a machine that can do the things asked of them faster, more accurately, and higher quality.
2. the threat that that machine completely or mostly invalidates their education, in particular for getting an entry-level job because they don't exist anymore.
The former headline is a result of point 1 and the latter point 2. They're using it not because they think "it's good, actually" but because they're resigning themselves to their education not mattering for their professional development and taking the easy path. That breeds the resentment that you see with "students are anti-AI".
If some students use LLMs to do tasks faster and at higher quality, that changes the grading curve, so everybody else might have no choice but to do so as well if they want to graduate. It's the "and yet you participate in society" meme.
I don't think those two things are mutually exclusive. Good chance that a few students that cheated or at the least used AI in a major capacity to graduate, still booed when that former Google CEO brought up AI at the graduation speech. Being pro AI when it benefits them and anti AI when it doesn't is just human nature. I'm being a little reductive here though.
> Recently there was a flood of articles about "students are using AI to cheat". Now there's a flood of articles about "students are anti AI".
Sure, both are true, although I think you'll find that they differentiate between "cheating" on their math homework by using AI, and kids who are cheating on exams by sneaking in a smartphone and giving a photo of the problem to ChatGPT.
As far as homework goes, AI is just the new Google, useful perhaps, but hardly outweighing all the anxiety of their future being taken away by AI, or all the societal enshittification by AI that they see all around them.
The original title says he “got cheers” which is much less ambiguous than the HN title
In case it gets edited, the title of the HN submission is "Steve Wozniak cheered after telling students they have AI – actual intelligence".
I laughed when I read this, imagining a weird act of self-congratulation in front of a silent audience.
I wonder if other languages are less ambiguous about this. "Steve Wozniak cheered" makes it sound like he did the cheering. But the practice of removing verbs from headlines makes this more ambiguous. "Car collides with bridge" is not a grammatically correct sentence but a perfectly normal headline.
But in this case, "Steve Wozniak cheered after telling students they have AI" _is_ a grammatically correct sentence, which means that Wozniak did the cheering, which may be the source of confusion. Or, perhaps it means not that he vocally cheered, but was cheered up emotionally.
English isn't ambiguous here either. It's the fault of journalists who have this weird obsession with removing as many words as possible from headlines.
The actual headline is not ambiguous at all
> Apple cofounder Steve Wozniak got cheers, not boos, after telling students they 'all have AI — actual intelligence'
Modern journalism deserves a lot of criticism, but this headline is not one of those cases
>I wonder if other languages are less ambiguous about this.
most are (few others I can speak). Generally, passive voice and past tense do not collide by having the exact same suffix. The fact the headline lacks a verb (when interpret correctly) doesn't help either.
Not to me... Maybe a ESL thing
"Steve Wozniak cheered after telling students they have AI – actual intelligence "
Could be interpreted as Steve himself cheered. Or it could be interpreted as the passive which is meant here but I would argue it should then say "Steve Wozniak cheered at after telling..." but I am not a native speaker.
The original title "Apple cofounder Steve Wozniak got cheers, not boos, after telling students they 'all have AI — actual intelligence'" can not be interpreted in the way that Steve cheered as far as I know.
Where would the skill issue be? Please be specific.
How is the original title not less ambiguous to you? Do you see other interpretations than I mentioned above or do you disagree with my interpretations?
While it's technically ambiguous, most native speakers would immediately understand that Steve was not the person cheering. Firstly, Steve cheering makes no sense. Secondly, it's a very common construction for newspaper/article headlines.
For example, BBC News right now says "Jury discharged in Ian Watkins pirson murder trial", "Carrick confirmed as Man Utd permanent boss", "Ex-soldier jailed after woman..."
Okay, in this example it's more ambiguous because "cheered" does not have to take an object. But native speakers are primed to expect a passive sentence here.
I mean technically in the sense that you -can- interpret it two different ways, even if most people wouldn't.
The 'is' is not required because it's using newspaper headline grammar.
I'm a native speaker, and read it the "Wozniak gave a little cheer after" way at first, though the more likely meaning did occur to me immediately after. As for it making no sense, I differ. There are scenarios I can conjure in which that exact sequence could happen, either because he was cheering the students after telling them they're great, or because he forgot what he was doing -- dementia wouldn't even be "early onset" at his age. Further, if something is utterly mundane and expected, there are no headlines about it, as in the old saying about the difference between "Dog bites man" and "Man bites dog".
Could also mean that he was cheered by the response to his comments and his disposition improved. There are layers of ambiguity in this headline.
Language is often ambiguous! You have to guess the intended meaning based on context clues. Unambiguously phrased language sounds less natural, because it is. Incidentally, this is part of what makes natural language such an awful fit for controlling a computer.
I cannot stress how much the deep internal Apple loyalists loathe Woz. I personally find him one of the best parts of (old) Apple, and it’s a shame the company internally continues to think of him as a loose cannon.
How many people from that era still exist at Apple to be holding a grudge like that? Genuinely curious, since it's been a very long time since he was last involved at Apple.
A lot. Apple has pretty impressive retention, more than everywhere else I’ve worked in the Bay Area. Many people work there to retire, so the age demographic skews older. I worked there close to 20 years and that’s not even in the longer end comparatively.
Also Woz still goes to campus every so often, it’s not like he’s banned or not accessible. Deep loyalists though love to mock him for being a bit…too honest…which I find unfortunate because he is honestly a very kind and fun person. I’ve spent time with Woz, and have nothing but positive things to say about him.
I worked at apple a couple decades ago. He isn't loathed so much as acknowledged as being uncontrollable. Internally at Apple it is very strict in terms of what you can say and do, like being in a communist country where you never go against Dear Leader. Woz speaks his mind and that is ultimately why he left early on. He also has a conscience and cares about people, something Apple does a great job of pretending to do.
I worked there just shy of 20 years, and I agree “uncontrollable” is a good way to frame it.
To be clear I think Woz is great, I was just referring to listening to years of behind his back comments made by leaders at the company who look down on him for being too open, which as you know is not “allowed”.
Tim Cook Apple with Palo Alto money and constant surveillance does not jibe with jovial intellectual prankster.. do tell
I really like how he approaces AI. Not the tone other leaders are talking, but much more human and much more collaborative. How young people actually can help with the AI shaping. For example Eric Schmidt was really terrible at his speach in front of University of Arizona.
Do tell me how young people can help with AI shaping, as this just sounds like "how cows can help shape the meat industry"
Ah, so the students were saying “moo,” not “boo.”
To be fair, if you're a cow, you don't have much say in it, the world continues to revolve, and not around you, but you still need to find your place, or at least find peace with not finding your place.
Every teenager goes through it, some still try to find their place until the day they day, but we all grow up in vastly different contexts and environments compared to what we experience as adults, and stuff keeps happening around us that we don't like, maybe don't even want to participate in, but because of the lack of alternatives, you don't really have a choice.
I guess an optimistic way to look at this would be to treat this as just another layer of abstraction, meaning people could focus on larger scale problems moving forward, similar to how the evolution of programming languages influenced development time, quality and the quantity of software being put out. The question is at what price does all of this abstraction come at, assuming AI continues to evolve at its current rate.
This can not be seen as layer of abstraction as it's non deterministic and not trustworthy. So we still need to inspect and understand that abstraction layer output if we want to have a reliable product
Adding non deterministic layers on top of a painfully deterministic layer to make more betterer deterministic things is an oxymoron.
...and many people choose to ignore that fact.
They can start by voting for politicians who will rein in big tech
There is no politician who stands against big tech and by extension big money
We are about to test that theory.
not even Bernie Sanders?
In the US, the politicians need money to be elected in the first place, and a lot of it. Lots of money comes from the big tech (to both parties), and the big tech won't give money to anyone with a plan to "rein them in."
"Citizens United" might be the most ironic name in the history of western democracy.
They don't need money they just need votes.
If money can buy votes then the problem rests with an apathetic and distracted electorate.
You change that by giving a fuck and telling everyone you know what you actually think.
> If money can buy votes
It's not that "money can buy votes," but for a given party money can buy facilities (offices, transportation, food, etc.) and people (activists, coordinators, etc.) and that can bring (not buy) votes. Printing one "Rodriguez 2027" sign and putting that on your front lawn can be done for free at someone's office; printing ten million of them is a major financial, logistical and organisational undertaking, all of which costs money. Printers, truckers, warehouses, coordinators don't care how many "fucks" you're giving; they just prefer being given dollars to being given "fucks."
Maybe you have more ... workable (?) solutions than "let's get everybody to give a fuck and vote in a different way"?
They can learn the skills to advance research and fill the roles that help determine what sorts of guard rails there should/could be to ensure it’s used in as helpful a manner as possible.
Do you think in the world of the Military Industrial Complex and the zero-sum game that is Great Power geopolitics, we will have any guardrails?
Trying to be optimistic, at least we didn't experience nuclear destruction at planetary scale...
I think it’s possible.
Any why would I want to work as a prompt engineer? or with AI tech at all? when I trained as a software developer using my brain to solve problems with data structures and algorithms, not prompts. I outright refuse to do such a thing.
Okay!
If you are naive enough to believe that, the moment you create problems for your bosses, you can be fired and replaced by some other naive person.
Now, more than ever, I think young people are cows for the economic meat grinder. It takes me to one of my favourite quotes:
"We do not inherit the earth from our ancestors; we borrow it from our children."
I think we've forgotten this. We are not paying it forward any more as a society.
The world is a significantly better place than it was when my parents were my age.
By what metrics?
Current young generations are the first that will, on average, work harder than their parents and have less to show for it. Affordability is absolutely vile and oligarchs have more decision making power then they've ever had in my lifetime, at least. No. Prospects are poor and governmental debt is absolutely unsustainable.
But I guess they've ve got cell phones and social anxiety, so not all bad.
Basically, what's the state QOL, and first/second derivatives of the that state? What direction is everything going? What's the world state young people are growing into? What advice would you give a young person to enable them to achieve the same success as you? - be realistic. You being the average poster on this forum, enriched by the tech boom of the 2000s-2020s - but not necessarily you specifically.
I wonder how Steve Jobs would've reacted to this GenAI boom. He constantly talked about the intersection of Humanities and tech, as well as fostering creativity by pushing people to their limits (for the better or worse), so I don't think he'd be one of those CEOs that's first in line to get rid of human workers as much as possible. Or maybe he would be and I'm just giving him too much credit.
On an unrelated note, I haven't used an Iphone since 2018 and I wonder if Siri has gotten any better. I do see "Apple Intelligence" being advertised everywhere and besides AI summaries of texts on the notifications bar I haven't seen anything to understand what Apple Intelligence actually means.
It's just a broad term for whatever AI integration they put into their various Apps and services. So, a combination of the neural engine stuff they've been doing for years, and integration with white label AI services from Google or OpenAI.
Siri is basically unchanged, it looks like they have had serious problems getting LLMs, or generative AI in general to be reliable and 'safe' enough to put their own name on it. By 'safe' I mean thinks like not generating emails based on Mein Kampf, or doodles of genitals, or hallucinating false 'facts'.
Not a concern for many of the frontier AI providers with no reputation to burn, but not exactly on-brand for Apple. I very much doubt Jobs would have viewed that differently.
How good is AI integration in Apple products? Did they drop the ball as hard as Microsoft did? I naively assumed a few years ago that Microsoft could pull it off perfectly because they had more than enough in terms of resources & engineers (yes, I was this naive in college)
Like most MS vs. Apple differences, it comes down to a matter of taste. They've added quite a few AI enhancements across their apps and operating system, but they are mostly feature enhancements and not major AI branded efforts. Having a Summarize button in Mail.app where it's contextually relevant or having text improvement menu options in text fields vs. slapping a major "Copilot" tab into everything.
Their use of AI so far has been much less "let AI take the wheel and brand it as a product itself" and more "use AI to improve an aspect of <user need>".
I think that's the best thing they could have done as a company. Sounds like the end-user first philosophy is still there.
Yeah, hard to guess how a person would react to transformative technology, together with whatever context it'd be brought up, their reaction could differ.
I too would say Jobs probably would have an human angle on it, but he also famously was a tyrant who struggled with people not doing exactly what he asked, and could be slightly nitpicky about that, maybe having a robot that follows exactly what he wrote, to a fault, would be a machine he'd greatly enjoy.
Or he'd throw it in the trash with some flourish of words explaining how a machine could never feel frustrated so therefore couldn't great excellent products, or something.
His reaction probably still would not have been solidified yet, given how long his response took to other tectonic shifts in technology. That isn’t to say he wouldn’t have an opinion to voice, I just suspect it wouldn’t have resulted in a product direction for at least a few more years.
> I wonder how Steve Jobs would've reacted to this GenAI boom.
Steve Jobs really cared about his users, and putting out great products for those users.
I imagine he would have loved all the machine learning stuff that Apple has being doing the past few years (stuff like voice noise separation, instant text OCR and photo object isolation).
Based on the story about the first iPod being too big, dropping a prototype in a fish tank, lots of air bubbling up and him going "there's your space", or the disdain he displayed about how crappy Mobile.me was, I imagine he would have recognized LLMs for the flakey product they are and would have been very wary of introducing them into users their workflow.
> .. and I wonder if Siri has gotten any better ..
Siri is still crap, but so is Gemini. Both still do incredibly stupid stuff like when you try to request some music on Spotify "cannot find the artist or song 'My Playlist Hard Techno'" / play some unknown vaguely matching artist. Or it'll do an internet search for "goose oven cooking timer ten minutes". Or ask "for how long should I set your timer?" and name the timer "goose oven cooking timer ten minutes" which in a way is even more stupid.
You'll get some naysayers here saying stuff works perfectly, but its that inconsistency that sucks. Sometimes it'll one-shot a really difficult voice command or obscure song search. And then other times (many times..) I have to yell at it three times to set a timer, at which point I sigh, realize doing it manually would've been faster, and set the timer manually.
In a way its made me realize LLMs and voice assistants aren't that good, it's just that even tech people have incredibly low standards. Especially the people working in AI.
The problem is natural language is a horrendously bad human-computer interface. Even if they're running nondeterministic software, computers are very precise machines. You wouldn't talk to your lathe or milling machine and expect good things to happen. So why would you have that expectation of a computer? It's ridiculous sci-fi fantasy nonsense.
It's hilarious, when you boil away all the froth and hype, that we've collectively decided that "talk to computer" is somehow worth an entire generation of venture capital and maybe even the whole stock market. It's a dumb idea to begin with. A mouse and keyboard are better.
no this is a fair question. he was enough of a sociopath to disown his own kid, but his narcissistic tendencies and love of the arts would have been a weird counter point to that.
> I wonder how Steve Jobs would've reacted to this GenAI boom.
Steve believed “you’ve got to start with the customer experience and work backwards to the technology”.
https://youtu.be/EZll3dJ2AjY?t=114
Which, to their credit, seems to be what Apple tried to do with Apple Intelligence and was already doing with Machine Learning. But if under Steve they had over promised and under delivered—like what happened under Cook—some heads would probably have rolled.
> I wonder if Siri has gotten any better.
Nope. There are rumours the new one will use Gemini and be better, but who knows. We’ve heard this before.
> I haven't seen anything to understand what Apple Intelligence actually means.
When it was announced, I thought it was a brilliant piece marketing in the sense of associating the “A” in AI with Apple. But then it turned out to be trash, so turns out the association is a hindrance. Anyway, you know how Microsoft uses “Copilot” for anything they ship which has “AI” in it? That’s Apple Intelligence. It’s the umbrella term for anything anywhere in one of their products where they use any kind of AI/ML.
The difference is it’s incredibly easy to opt out of apples AI-like services. For instance, I have never had Siri on on my iPhone no matter how many years go by. And every time I’ve gotten a new one, it stayed off. One tap, that’s it.
They don’t go out of their way to bolt the features to everything the phone does or make it particularly difficult to turn them off. That’s probably one of the last major reasons I still have an iPhone.
Microsoft in comparison forces you to use OneDrive, has copilot tapping on your glass like clippy every five seconds, etc. The desperate pleas to use these features are embarrassing
There seems to be a mental shift that happens around 30-50 (depending on the person) where the mindset changes from "How can I learn and contribute to world?" to "How can I make the world work the way I want?" and it's very noticeable in the public speaking engagements these people do, as this mindset seems to blend with all their other thoughts and feelings.
Luckily, this doesn't seem to happen to everyone, especially if you aren't a public figure, a billionaire nor a successful startup founder, but that particular combination seems to make it extra likely you experience this transformation.
good ole woz. being just a wonderful fuzzy warm hearted human being.
I was fortunate to get to spend time with woz when I worked at Apple. He's the type of person who is practically silent during a meeting. Then, towards the end, he spoke up and would literally solve the problem we'd been struggling with the entire time.
He's one of the nicest, most down-to-earth people I've ever worked with.
It's a real shame there are no many people like Woz in the bay area
He seems to be a nice guy and this contrasts with big tech CEOs, but this is pretty demagogical. AI is going to causing disruption but is here to stay, so what should be done about it? "Think different", "you have actual intelligence" may be comforting and enough to be cheered but is not a very actionable advice.
This whole situation with students cheering and booing is kind of strange.
Aren't students, at least anecdotally, outsourcing a lot of _their_ work to LLMs? And upon graduation when they're told that it's their future they don't like it?
I described a bit of this in reply to thinkingemote, but to:
> And upon graduation when they're told that it's their future they don't like it?
They aren't being told it's their future. They're being told they have no future because AI will remove the world's dependence on them (well, the professional side of it at least).
Seems more like the issue is nuance and consideration or not. One side is saying that it is possible to do things that have value using LLMs. The other side is pointing out that this technology has increasing costs, is requiring data centers that have strongly negative environmental, social, and economic impacts, is promoting rampant, industrialized theft of intellectual property, is inserting errors, hallucinations, and psychotic ideas into all usage, and is at a number of levels doing damage to kids, elders, and professionals who are exposed.
If they did use it then maybe in hindsight they regret it, realize they didn't learn much, realize the temptation to cheat yourself will always be there and that's not a good thing.
I always thought it means "authentic Italian"
One perhaps unpopular opinion: Could it be that the current AI is beneficial for young people in the sense that it is making them stop looking at their phone for a bit, and realize that certain tech is not that important for human well beeing? The change is in their/our hands after all, we just need to become aware, believe and vote with our wallet and the whole society will change in the blink of an eye. The hard part is the awareness and believing.
My experience as a parent is that gen alpha took note of the fact that their parents being on their phones means less attention, so it's possible they'll have a more sober view of the entire thing.
Real "plutonians cheering being told that Pluto is a real planet" energy.
Plutonians are busy making circular stock deals with ceresians.
He also said he's not impressed by LLM, which I totally agree.
I don't know what to say. I may not like it, you may not think it's actually intelligent, you may not think it's going to change the world - but how can you not see that this is revolutionary?
Artificial Intelligence, Actual Intelligence, Artificial Intelligentsia - I’d argue that one of them is not real.
Finally someone smart enough to read the room!
Actual link to the quote video: https://youtu.be/S24CGNgqZJA
There's a live version of this video but it looks completely different: https://www.youtube.com/live/LHEW8Da5550?si=ZBEesfArnK4HSD1R...
Is the short AI generated? This is confusing.
The entire commencement program is here. Woz speaks at around the 42-minute mark.
https://m.youtube.com/watch?v=4sSfADusN40
This one looks completely different from the short as well. There are now 3 known versions of this same line and all are different. Is it possible he gave the same speech to multiple audiences on that day?
There're like 3 commencements
1st of May, 7pm - https://youtu.be/LHEW8Da5550?t=2757
2nd of May, 10am - https://youtu.be/4sSfADusN40?t=2586
2nd of May, 3pm - https://youtu.be/-bn3ydOuMm4?t=2855
These students? They are the worst students in decades if there is any generation that could be replaced by machines it's the latest.
Can't locate the link to the actual speech
https://news.ycombinator.com/item?id=48234320
Man... it's gonna absolutely suck when that guy dies.
I actually disagree with Steve here.
This is propagating the Dunning Kruger effect.
Anyone with a sub 100 IQ should be using AI nearly blindly for questions and life decisions. However, these exact people don't realize AI is smarter than them.
I think we are going to witness a division on a monumental level in our lifetime. People willing to use AI, and people not willing. (However, people not willing will be able to get to speed in literal seconds).
This contrast is a bit sad. When Eric Schmidt told students the truth about the importance that AI will take in the future ("It will touch every profession, every lab..."), students booked him But the takes like "AI is not real/powerful, human intelligence is better", which are basically pleasant myopic lies, are cheered. Cope bias is powerful.
The point of a graduation speech like this is to get students hyped up about themselves and their future. Surely you see the merit in, amongst a backdrop of a horrible job market, telling students that they have, inherent in them, the stuff of greatness, just as people did (checks watch) 3 years ago before vibe coding?
> Cope bias is powerful.
Have you stopped to consider whether this statement might be more applicable to yourself? "Myopic lies" is at the very least highly exaggerated phrasing, if not itself myopic and a false characterization. If it's not too uncomfortable for you, some honest introspection might be worthwhile.
There's been a massive mask-off shift amongst elites* the last few years where displaying open contempt and hatred towards normal people - employees, students, public servants, etc. You can see this most clearly near the epicentre of the SV executive class where layoffs are celebrated and the life of the remaining employees is made as shitty as possible (ie, Meta's keyloggers), but it is everywhere. Speakers gleefully mocking and chiding graduates about how fucked they are due to AI, opinion columns from oligarch-owned mass media about how ungrateful everyone is towards the president, democratic senators (!!) mocking their constituents for wanting health insurance, just absolute disgust and hatred dripping everywhere.
* Here I'm using the alternate definition of elite - someone with money, power, position, or privilege - and not the conventional "barista with hair colour".
It’s sad that we ended up here. I can’t fathom that young people aren’t excited about technology anymore.
I was young once and naive, and I read a bunch of sci-fi. I could never have imagined having these LLMs or coding agents during my lifetime. Never. It was unthinkable to me that something like this could even happen.
And yet, here we are.
Even if you think it’s just a statistical trick, you should still be blown away.
You should also be optimistic, because that’s what we need young people for. We used to be able to convince young people to get on boats and migrate halfway around the world to die on some godforsaken land. Or get on boats and go fight some ideological war somewhere else (not saying that was a good thing). But now we can’t even get them excited about technology?
What have we done?
People used to have nothing. My grandfather got his first pair of shoes when he was 10 years old. Yet he was more joyful and positive than most people alive today.
Would you be excited about technology when it appears based on their stated intentions and revealed track record over the past 15 years of your young life that those driving it fully intend to use it to disenfranchise you further, not empower you?
The reality of the world faced by today's 21 year old college grad is completely unlike the world graduates went into 20 years ago.
> But now we can’t even get them excited about technology?
> What have we done?
Arguably this transition happened a lot earlier; the first half of the 20th century was the time for pure techno-optimism, then somewhere between nuclear weapons, global warming, and reporting like The Silent Spring people realized that there were downsides. Medicine had its peak with antibiotics, the edge blunted by the thalidomide disaster, and now sits in a complex web of paranoia and propaganda.
It's not enough for technology to be "cool" in an apolitical vacuum. People have to believe that there will be benefits for them. And the big pitch from the AI companies is the "great replacement" of all white collar jobs with AI. No wonder they're upset.
Modernity is soulless for the most part. Social media, the 24/7 news cycle, unaccountable mega-corps, the list goes on. I suspect people are tired of the constant psychic damage you endure for just trying to exist in 2026.
Hopefully people are understanding that technology, no matter how cool, does not exist in a vacuum. Technology is defined by who controls it, how it’s used, and what power it enables them to wield. Those concerns are far more important to society than how neat the tech is.
An obvious example is nuclear weapons. Amazing science, incredible engineering, awe-inspiring power. But I doubt you would make the same critiques of people who were anxious about the world they create. A world in which MAD exists is fundamentally different than one where it doesn’t.
Regarding your grandfather, it’s a pretty well-supported hypothesis that younger generations are less happy and more depressed because of technology from the very industry pushing AI onto them! Why should you expect them to be excited about a new world-changing tool from the same set of companies that brought them an infinite doom-scrolling feed of self-doubt, the increased polarization of politics, the viral spread of conspiracy theories, and a higher rate of youth and teen suicide than ever before?
Technology isn’t fundamentally good or bad, but it can have very negative impacts on society. It seems like people are catching on to that fact.
I have noticed a certain personality gloms onto AI and unlike other technologies, it is so easy old people and the technologically illiterate can do it! In fact, old people and morons seem to love it. And it gets annoying really fast. The same people who were web 3, crypto, block chain, nft bros are the biggest supporters of AI. Utility or not when scammy people act the same way as they did for all the other tech trends it is a massive turnoff. I am tired of seeing AI writing and AI images, and instead of people talking about how we are going to use AI to make people’s lives better the only thing people can talk about is how much money some tech bros are going to make and how everyone else is going to lose their jobs because we won’t need them anymore. And your idiot friend from HS has an awesome business idea, which amounts to AI art on a t shirt or AI youtube videos and just needs you to be in on it with them to actually do the work like they are selling Amway.
I think the problem AI has is after the novelty wears off, and if you are not using it for code specifically, it is mostly just a fancy search engine that the dumbest person you know uses to validate their idiocy.
So, yeah, I can see why the kids are over it.
No, young people do not have to be optimistic. They have to think with their own brain, and form their own opinions.
People in the 1980s were optimistic in technology because they didn’t have the chance to see the social upheaval that youth in the 2020s have grown with. Only a complete idiot would remain steadfastly optimistic after seeing what the rise of the internet, social media and mass surveillance has done in the name of this promised technological utopia. Only the sociopath would tell a young person to happily embrace AI in the worst economy in decades while headlines about AI-related job losses are everyday news.
Blind faith in anything leads to terrible outcomes, and that includes technology.
I was inspired by technology when I was young, but not anymore. When I was young it felt like the tech industry was about empowering human beings - Steve Jobs liked to say that a computer was like a bicycle for the mind. Today it feels like the tech industry is about wonton destruction ("move fast and break things") for the purposes of making a tiny number of people fantastically wealthy.
I'm aware that Steve Jobs was a jerk, but I cannot imagine him complaining about how he had to miss some great parties so he could spend the weekend taking food and medicine away from the world's poorest children (as Elon Musk did during his DOGE phase). The ethos was just completely different.
If you’re still writing things like this you are stupid or willfully ignorant. All the boomers at work expose similar opinions and it’s because when the younger generation tries to explain why they feel this way, the boomers stick their fingers in their ears and start yelling.
People are not excited because those companies blatantly disgregard the law, exploit and fuck people over and try to concentrate as much power as possible in their hands. Young people are not stupid, they can see that the increasing wealth gap makes their lives suck more. And they also understand that AI is a hypercapitalistic tool, that, if left unchecked, will only accelerate this trend.
So yes, that kind of curbs the enthusiasm, doesn't it?
Are you seriously going to compare AI with shoes?
did I compare AI to shoes anywhere in my text? They also used to teach comprehension when I went to school.
You chose shoes as your comparison point.
Using two symbols of technology: AI (advanced modern technology) Shoes (cheap, basic materials)
You were saying the following, in essence, no? "My grandfather got shoes and was happy, new kids get AI and are not happy."
No I wasn't.
This is the whole paragraph:
> People used to have nothing. My grandfather got his first pair of shoes when he was 10 years old. Yet he was more joyful and positive than most people alive today.
I was saying he had nothing, not even shoes (and people now have plenty).
This shouldn't be hard. It's truly basic text comprehension.
There was study that big percentage of university graduates, strugles to comprehend written text. In AI terms: take 20k token paper, feed it to well rested graduate, and they will strugle with basic memory recall, reasoning and comprehension! My laptop performs better than that!
My car runs faster than any human. Therefore exercise is a waste of time.
I love this example.
Car (like humans) requires a lot of care and maintenance. You have to feed it (gas), park it, and jump through many legal hoops just to use it.
Walking is very often faster, and if not you can just fly or take a taxi.
I haven't read the study, but I wonder if one reason comprehension went down was because of over-reliance on AI among students.
Ai is around for a few years. This type of studies goes back decades.
Ah studies, those things nobody ever cares to reproduce.
At least you provided a source! Er… wait, you didn’t even tell us your laptop model, describe the paper other than in terms of token size, or where these well rested graduate students (read: unicorns) hide from the rest of the world.
Give it a bit more effort next time.
20k tokens is about 40 pages of text. Weekly i do about 1000x that. (I am very low lever user)
I really do not think there is a point to argue here.
Also why you have to be unicorn to comprehend 40 pages paper? I often do it with no sleep, while drunk. Hardly unicorn!
> I often do it with no sleep, while drunk. Hardly unicorn!
Yes, I can tell.
Maybe I am in a minority position here, but despite me vibecoding for many months now (havent written a single line by hand and forced me todo so in the beginning), I still have my IDE open right next to Codex/CC and while the LLM is crucnching along and doing TDD loops I actually read whats created/changed and just sit with it judding if its only right on surface or semantically stupid underneath, essentially realtime-architecting and steering the code agents sometimes even midflight. so I do end up with these 200k+ LoC projects now since typing is lightning fast and 2/3 of my codebase is tests (I insist on regression tests after every steer) but in fact I perfectly know what each piece is doing and where it is, as well as the still not optimal parts and have a mental list for refactoring it later when I have time or a spare parallel agent can do it when feature work isn't crossing the same areas.
so I COULD take over by hand again like I did the decades before just fine, but I refuse to and instead play a codebase like a RTS - lots of stuff happening in parallel but at all times a understanding where is which thing going on and have the next steps in mind (sometimes directly queued as follow up instructions). For me vibecoding is a strict speedboost and literally gamified projects I work on, and the guardrails not only in textfiles but much more in executable code (linters, tests, dependency checks, playwright, ...) as feedback loops agents can spin on on their own made it all click together to the point my main bottleneck is stuff like the Codex app itself using high CPU and memory on my local mac.