1. Labs are keeping frontier models internal and only releasing distilled, neutered versions
- “Anthropic told everyone Mythos was dangerous … They didn’t release Mythos … They released a neutered fable.” – nonethewiser
- “The way it is right now is to build giga‑monster models, use those internally to boost yourself, and distill them down into lighter consumer models.” – WarmWash
- “Open AI already said they have smarter models, and Opus 5.5 is rumored to be ‘taught’ by a ‘teacher’ model already; they are essentially distillations from bigger models … that both labs probably cannot economically serve to the public.” – OliveronData
2. Stated safety/pacing motives mask strategic incentives (regulatory capture, talent retention, financial pressure)
- “The primary motivation of the AI CEOs is to retain talent by parroting the correct talking points … If one of them blinks and turns off the money faucet before the other, they might fall behind … So what they want is to get someone … to put the brakes on their rivals and them at the same time so they can both Not Lose, and Stay Alive.” – bentt
- “Which is more likely? 1) They genuinely want … an international agreement … or 2) They see an opportunity for regulatory capture that grants them a stronger incumbent position …” – frumplestlatz
- “I think this is very clearly a regulatory capture play … they want the government to build the moat for them.” – slowin
3. Unilateral pacing fails without enforceable coordination – a classic prisoners‑dilemma/game‑theory problem
- “A company cannot unilaterally pace the frontier -- they'll just be left behind. It requires coordination across all actors … Even if the leading US labs could agree … you still have Chinese labs who will catch up … To solve this, you’d need some sort of international agreement.” – jonas21
- “Let Anthropic pace themselves without any sort of enforcement … Then Anthropic is gone, overnight …” – nater5000
- “The game theory is prisoners dilemma. Do you cooperate or defect? Iterate.” – fragmede