davinci @basedneoleo
— web clipping, 303 words — published 2025-08-08
2 captures, most recent first. Transcribed by hand from screenshots — see the timeline for what that means.
davinci @basedneoleo
— web clipping, 303 words — published 2025-08-08
davinci @basedneoleo
A technical Twitter debate disputing Ilya Sutskever's thesis on language modeling as approximating an "adult mind," arguing instead that current LLM training via next-token prediction on human text is behavior cloning (crystallized skill) rather than reproducing a child's experiential learning capacity. Relevant to Nathan's interest in AI cognitive architecture and learning-paradigm debates. Continuation of the same Twitter thread as the previous screenshot — invoking a famous Alan Turing quote (from his 1950 "Computing Machinery and Intelligence" paper) about simulating a child's mind and educating it, as historical grounding for the "child-mind not adult-mind" critique of current LLM training. Same thread as Screenshot_20250420-105319. Continuation of the same thread (see Screenshot_20250420-105319/105333) — argues that text is a "sparse, biased projection" of humanity's world model, that pretraining lacks the "direct friction" of embodied childhood learning, and that superhuman capability requires self-supervised world-model generation rather than human-text imitation. Substantive argument about limits of LLM pretraining vs. embodied/self-supervised learning.
twitterilya-sutskeverllm-trainingbehavior-cloningai-learning-theorymachine-learningalan-turingchild-mindworld-modelsself-supervised-learning