newsMIT Technology Review AITrust 88 · LabPublished 3d agoLive · yesterday
AI’s recursive self-improvement might not come so quickly after all
The AI industry’s boldest promise right now is that AI will soon improve itself, with almost no need for human oversight. LLMs can already write code, generate synthetic data for training, and optimize the computer chips they run on. Forecasts of explosive AI progress predict that what researchers call recursive self-improvement is on the horizon. …
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- PossiblePossibly related (embedding) · 63%MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution →
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paperMetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolutionreposelfimproving-agent/Awesome-Self-Improving-AgentspaperLearning from Failure: Inference-Time Self-Improvement for Computer-Use Agentsrepoletta-ai/lettapaperLearning from Synthetic Data without Model Collapse in Iterative Instruction Tuning
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repoletta-ai/lettareposelfimproving-agent/Awesome-Self-Improving-AgentspaperWhat is Missing from AI Post-Training AI: An Empirical AnalysispaperMetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill EvolutionpaperAI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-ImprovementpaperLearning from Failure: Inference-Time Self-Improvement for Computer-Use AgentspaperLearning from Synthetic Data without Model Collapse in Iterative Instruction Tuning