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AI labs chase recursive self-improvement for autonomous development

The concept of Recursive Self-Improvement (RSI) is gaining traction in AI, with multiple startups and researchers aiming to create AI systems that can continuously upgrade themselves. This vision, akin to Artificial General Intelligence (AGI), could lead to AI development cycles that surpass human capabilities, limited only by computational resources. While some, like Richard Socher's Recursive Superintelligence, explicitly target RSI, others like Alex Karpathy's Auto-Research and Sara Hooker's Adaption are developing tools that automate research and training, potentially leading to similar outcomes. AI

IMPACT The pursuit of RSI could accelerate AI development cycles, potentially leading to autonomous AI research and development.

RANK_REASON The article discusses a concept (RSI) and its pursuit by various researchers and startups, rather than announcing a specific new model release or benchmark.

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COVERAGE [1]

  1. TechCrunch AI TIER_1 English(EN) · Russell Brandom ·

    RSI is the new AGI — and it’s just as hard to pin down

    A new crop of AI labs are focused on recursive self-improvement — but the goal is proving elusive.