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Ilya Sutskever suggested in an in-depth interview that the three core consensuses of the AI industry over the past few years could all be mistaken: Scaling is no longer a silver bullet, high benchmark scores do not equate to real intelligence, and RL is instead making models 'dumber'. He believes the dividends from pre-training and RL are nearly exhausted, AI has re-entered the era of research, and true superintelligence should possess a strong learning capability like a gifted teenager, not a static repository of knowledge.