Researcher argues AI training already has recursive self-improvement baked in as takeoff talk overheats
QuintinPope5 · x · 2026-09-29
AI researcher Quintin Pope weighs in on takeoff speeds, arguing the current memetic environment has started to overheat. His core claim: because NN inductive biases align with the target function in training, AI training already has a form of recursive self-improvement built in.
Citing transparency research, he adds that the fundamental relationship between training data and alignment-relevant behavior still seems predictable and tractable enough for alignment success.
Related event: Debating default alignment: does RL post-training twist model minds(9 posts)→
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