AI Labs Race Toward Recursive Self‑Improvement as New Frontier

AI researchers and startups are intensifying efforts to build recursive self‑improving systems, a capability some liken to the next step beyond artificial general intelligence. Richard Socher unveiled Recursive Superintelligence, promising fully automated research cycles. Andrej Karpathy’s Auto‑Research project and Adaption’s AutoScientist tool aim to let agents incrementally upgrade language models. A Kaggle‑winning agent from Disarray’s Doris Xin highlighted the reliability challenge, while Google’s Sundar Pichai admitted the industry is still far from true RSI. Anthropic’s Claude Code now writes most of its own code, underscoring how close the field may be to a self‑sustaining AI loop. Read more