Faruk Alpay stumbled into influencing AI by posting his math-heavy papers on arXiv about “Alpay Algebra,” a framework blending fixed-point theory and category theory to give AIs stable knowledge, identities, and better human alignment. He realized these papers end up in AI training data, essentially letting him whisper ideas directly into future models’ “minds.” Now, he’s intentionally using this to promote ethical, explainable AI through open research, tying into trends like smaller models and safety concerns, and encourages others to join the conversation.
Faruk Alpay stumbled into influencing AI by posting his math-heavy papers on arXiv about “Alpay Algebra,” a framework blending fixed-point theory and category theory to give AIs stable knowledge, identities, and better human alignment. He realized these papers end up in AI training data, essentially letting him whisper ideas directly into future models’ “minds.” Now, he’s intentionally using this to promote ethical, explainable AI through open research, tying into trends like smaller models and safety concerns, and encourages others to join the conversation.