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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

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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 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

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