You can predict by using one of several techniques:
1. Naive prediction: it will be similar to now
2. Linear regression: look at several parameters associated with LLM (speed, quality, accuracy, etc.) and create linear regressions from these parameters
2a. Polynomial regression: same as above, but fit a polynomial
3. Group prediction: select 20 friends, ask them to make predictions, then find the average(s)
...and many more with increasing levels of complexity
I predict that most predictions in this thread will be wrong. Other than that, who the heck knows?
You can predict by using one of several techniques:
1. Naive prediction: it will be similar to now
2. Linear regression: look at several parameters associated with LLM (speed, quality, accuracy, etc.) and create linear regressions from these parameters
2a. Polynomial regression: same as above, but fit a polynomial
3. Group prediction: select 20 friends, ask them to make predictions, then find the average(s)
...and many more with increasing levels of complexity