#statistical-physics News & Analysis

2 articles tagged with #statistical-physics. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 97/10

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Emergent Slow Thinking in LLMs as Inverse Tree Freezing

Researchers present a statistical-physics framework explaining how large language models develop multi-step reasoning through reinforcement learning with verifiable rewards (RLVR), modeling the process as inverse tree freezing in a concept network. They propose Annealed-RLVR, a timing-optimized training method that outperforms standard RLVR by applying supervised fine-tuning at peak frustration rather than after convergence, preventing policy collapse.

AINeutralarXiv – CS AI · Mar 267/10

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A Theory of LLM Information Susceptibility

Researchers propose a theory of LLM information susceptibility that identifies fundamental limits to how large language models can improve optimization in AI agent systems. The study shows that nested, co-scaling architectures may be necessary for open-ended AI self-improvement, providing predictive constraints for AI system design.