Aaronson says the proof of his Aaronson-Ambainis conjecture, which Physical Superintelligence says it found with an internal Claude model, is likely correct because it comes with a Lean certificate and outside experts checked it, though it only rules out a...
VQV Signal
RESEARCH
WATCH
TECHNICAL
Machine-checked AI math: Scott Aaronson says an AI proof of his conjecture looks right, and Google DeepMind’s agents....
Aaronson says the proof of his Aaronson-Ambainis conjecture, which Physical Superintelligence says it found with an internal Claude model, is likely correct because it comes with a Lean certificate and outside experts checked it, though it only rules out a...
Aaronson says the proof of his Aaronson-Ambainis conjecture, which Physical Superintelligence says it found with an internal Claude model, is likely correct because it comes with a Lean certificate and outside experts checked it, though it only rules out a quantum speedup most researchers already doubted. A new...
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength 89%
Technical label WATCH
Public Interest 48
Category RESEARCH
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 82
Practical Impact Score 0
Novelty Interest Score 94
Consequence Score 18
Curiosity Score 16
Shareability Score 43
VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).
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