Evidence item

The interview summary directly records the speaker saying “recursive self-improvement is here,” while presenting the statement as an assertion about internal frontier-model progress rather than proof that fully autonomous recursive self-improvement has been demonstrated. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 11903

Source: Emad Mostaque: OpenAI solved a Millennium Prize problem with 10,000 agents in 88 hours · locator {} · excerpt hash sha256:096b940cf13950e0b7709a94195d22da3b325942b3e7e93a2daf118b83ff060c

Exact excerpt

Wissner-Gross expects the next real leap to be embodied, real-time control, building on Astra's recent wins at games like Pokemon and Portal — tracing the lineage back to how modern reinforcement learning itself began, with DeepMind's game-playing research and GPUs originally built for gaming. The labs' strongest models are kept for themselves, only a few months ahead of what's public — in his words, "recursive self-improvement is here" — models now improving later versions of themselves with little human involvement.

Linked claims

Claim	Direction	Relevance	Steps	Counted
ea7c2b47	SUPPORT	MODERATE	1	yes

Audits

None.