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Can zero-data self-play unlock reasoning without examples?
Absolute Zero: Reinforced Self-Play Reasoning with Zero Data
Published: 12 May 2026 · Updated: 13 July 2026
Read the original sourceWhat the paper says
This work explores self-play for reasoning models, where two models generate and critique problems and solutions without any external data. The authors claim emergent reasoning abilities.
The Critique
Without external grounding, self-play can drift into meaningless or harmful reasoning loops. The paper lacks robust evaluation and does not compare with baseline models trained on real data.
Why It Matters
Reducing dependence on labeled data could democratize AI development, but safety and validity must be ensured.
What They Missed
The authors do not examine whether self-generated tasks remain relevant to human concerns.
The Big Question
How can we prevent self-play systems from diverging into unsafe or unproductive reasoning spaces?