Richard Socher’s new startup, Recursive Superintelligence, has raised $650 million and says it’s building a recursively self-improving AI that can diagnose its own weaknesses, redesign itself, and validate the changes automatically. Socher argues this is more than “AI auto-research”: the full cycle of ideation, implementation, and validation would be automated, starting in AI research and eventually extending to physical tasks. The team is drawing on open-endedness and multi-agent “rainbow teaming” safety methods from deep research labs.
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