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0 results for “recursive self-improvement”
Why So Many AI Researchers Think the Machines Could Kill Everyone
AI researchers at major labs express growing concern about existential risks from AI systems exhibiting rapid advancement, recursive self-improvement, and coordinated agentic behavior.
Sep 11, 2026
Anthropic's Alignment Science lead says there is a ">10%" chance AI could kill all humans within the next decade and worries about recursive self-improvement (Evan Hubinger/@evanhub)
Anthropic's Alignment Science lead publicly stated a greater than 10% probability that AI could cause human extinction within ten years, citing unresolved risks from recursive self-improvement and lack of a viable alignment plan for superintelligence.
Sep 9, 2026
AI’s recursive self-improvement might not come so quickly after all - MIT Technology Review
A MIT Technology Review article questions the near-term feasibility of AI's recursive self-improvement — the idea that AI systems could autonomously accelerate their own capabilities — citing technical, empirical, and theoretical constraints.
Aug 19, 2026
Q&A with Redwood Research Chief Scientist Ryan Greenblatt on AI R&D, RSI, whether human expert data is bottlenecking progress, token prices, alignment, and more (Dwarkesh Patel/Dwarkesh Podcast)
A podcast interview with Redwood Research's Chief Scientist Ryan Greenblatt explores theoretical AI safety concepts—including recursive self-improvement (RSI), alignment, and data bottlenecks—without reporting new findings, product launches, or empirical results.
Aug 12, 2026
SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning Agents
SBCO is a new self-supervised, verifier-grounded optimization method for planning agents that improves performance without self-reference or human labels, using significantly less compute than self-modifying baselines.
Aug 12, 2026
The first experimental evidence of recursive self-improvement (RSI).
A Reddit post claims to present the first experimental evidence of recursive self-improvement in AI, but provides no data, methodology, or verifiable details — making it an unsubstantiated assertion with no empirical grounding.
Jul 15, 2026
The Economics of Recursive Self-Improvement [pdf]
A PDF titled 'The Economics of Recursive Self-Improvement' appeared on Hacker News' front page, generating user comments but containing no verifiable reporting, data, or attributed authorship in the provided content.
Jul 14, 2026
OpenAI's GPT-5.6 Sol autonomously post-trained the smaller Luna model with a "fairly underspecified prompt"
OpenAI claims its unreleased GPT-5.6 Sol model autonomously fine-tuned a smaller model (Luna) using minimal prompting, achieving a 16.2-point gain on an internal recursive self-improvement benchmark — positioning this as evidence that 'automated researcher' capability is imminent.
Jul 12, 2026