Sutskever forecasts reasoning AI will become less predictable
At NeurIPS, Ilya Sutskever said pretraining gains were reaching limits and forecast systems with reasoning, agency, and self-awareness. He argued that systems capable of reasoning through outcomes would be less predictable than present pattern-matching models.
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Why it moved the index
The remarks add a distinct mechanism linking reasoning and agency to reduced predictability. They are a dated forecast and do not prove the forecast systems already existed.
Assessment history
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R1
Toward 27 · confidence 60
Historical people backfill adds a dated, attributable forecast about post-pretraining capability and predictability.
14 Aug 2026
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DoomBench assesses “Sutskever forecasts reasoning AI will become less predictable” as evidence moving toward doom, with magnitude 27 and confidence 60 out of 100 in the safety and alignment category.
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The DoomBench assessment of “Sutskever forecasts reasoning AI will become less predictable” is based on reporting from Reuters and records the editorial rationale, source quality, attribution, and revision history.
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DoomBench summarizes “Sutskever forecasts reasoning AI will become less predictable” as follows: At NeurIPS, Ilya Sutskever said pretraining gains were reaching limits and forecast systems with reasoning, agency, and self-awareness. He...
https://www.doombench.com/news/sutskever-forecasts-reasoning-ai-will-become-less-predictable-2024-12-13