Kambhampati on how System 1 LLMs acquire System 2 competencies — open access in AI Magazine
rao2z · x · 2026-10-16
Subbarao Kambhampati (Arizona State University) has a new open-access perspective article in AAAI's AI Magazine: "How to make System 1 LLMs show System 2 competencies?"
- Uses Kahneman's System 1/System 2 framing: LLMs are essentially a giant external System 1 for humanity, while systems like AlphaGo had "deep and narrow" System 2 skills
- Argues reasoning models (o1, DeepSeek R1, etc.) still train and infer autoregressively, but acquire reasoning by "compiling" System 2 behaviors into System 1 — fine-tuning on massive synthetic data with verified solutions during post-training
- Explores the Generate-Test search mechanism behind this and its limitations
A systematic lens on why reasoning models work; fully open access.
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