VQV Signal

BIG MOVE WATCH TECHNICAL

Post on X says Anthropic's Fable 5.2 solved two open black-hole physics problems

According to a post on X by @rohanpaul_ai, Anthropic says its Fable 5.2 model finished a black-hole calculation that had been unfinished since 2003, and a physicist has reportedly checked the work. The post also cites @RLanceMartin saying 1,000 Fable 5.2 agents formalized a proof of Fermat's Last Theorem. Separately, Discovered Materials says the model sped up parts of the Quantum Espresso materials code by 36x. The post says these results would mean AI is producing checkable new results, if they hold up.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-10T00:30:00+00:00 Detected 2026-11-10T10:18:25+00:00
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According to a post on X by @rohanpaul_ai, Anthropic says its Fable 5.2 model finished a black-hole calculation that had been unfinished since 2003, and a physicist has reportedly checked the work. The post also cites @RLanceMartin saying 1,000 Fable 5.2 agents formalized a proof of Fermat's Last Theorem. Separately, Discovered Materials says the model sped up parts of the Quantum Espresso materials code by 36x. The post says these results would mean AI is producing checkable new results, if they hold up.

AI-assisted summary based on the listed source.

Anthropic says Fable 5.2 finished a black-hole calculation that had gone unfinished since 2003 (per Rohan Paul, a physicist has checked the work), and @RLanceMartin says 1,000 Fable 5.2 agents formalized a proof of Fermat’s Last Theorem. Separately, Discovered Materials says the model sped up parts of the Quantum...

If the claims hold, they would show AI producing new scientific results that other researchers can check, which matters to physicists, mathematicians and scientific software teams. Those groups should watch for independent review of the black-hole work and the formal proof, and for published details on the 36x speedup. Until such checks appear, these remain company and social-post claims rather than confirmed results.

Signal Strength 80% Technical label WATCH Public Interest 44 Category BIG MOVE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 73 Practical Impact Score 0 Novelty Interest Score 94 Consequence Score 10 Curiosity Score 16 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to Consumer AI, connected to Scobleizer News Pulse (X).