RSI-Anything: World models enable recursive self-improvement across domains

PhAI Labs introduces RSI-Anything, a domain-general recursive self-improvement framework built on JEPA-Anything world models, spanning code, GUI, planning and scientific tasks. It outperforms Bayesian optimization, with experimental yields reaching up to 96%.

2026-10-12 ~ 2026-10-12 · 4 related posts

• RSI-Anything Uses Predictive World Models for Recursive Self-Improvement — PhAILabs · 2026-10-12
• RSI-Anything: World Models Drive Recursive Self-Improvement Across Code, GUI, and Labs — 机器之心 · 2026-10-12
• RSI-Anything Uses World Models for Recursive Self-Improvement, Beats Bayesian Optimization on Reaction Yields — ylecun · 2026-10-12

1 near-duplicate retellings: jiqizhixin