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> One could even define intelligence as the efficiency with which one converts experience into competence; by this definition they lag very …
> One could even define intelligence as the efficiency with which one converts experience into competence; by this definition they lag very far behind us Yes, one could define intelligence in this way
One could even define intelligence as the efficiency with which one converts experience into competence; by this definition they lag very far behind us Yes, one could define intelligence in this way, and one would be right. By this metric current AI is approximately 6 OOMs less intelligent than humans. Your ancestors' evolutionary history did not prepare you for Python programming, yet you can learn to competently program in Python in a few hundreds of hours. An LRM needs the training data equivalent of ~1B hours (on top of all of its non-programming related training data). Another dimension where which current AI is far below human level is test-time compute efficiency and energy efficiency. A human can solve an ARC-AGI-3 game by burning an amount of energy that would cost under 0.1 at retail electricity prices. Astra costs about 300-$400 per game. That's a 3-4 OOM gap. Dan Selsam is a current OpenAI capabilities researcher. (since 2022) He was my boss for a while. He doesn't have a twitter account but has made this public statement of his views on AI risk and sent it to me to share: Dan Selsam's Personal Statement on AI Risk: I have been workin…
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Source: Francois Chollet (X) | 2026-09-14