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Mar 25, 2026
acx
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8 min 1,207 words 773 comments 398 likes podcast (8 min)
A satirical dialogue showing how opponents of AI pause proposals often ignore that advocates explicitly call for bilateral agreements with China, not unilateral pauses. Longer summary
Scott presents a satirical dialogue between a supporter and opponent of AI pause proposals, where the opponent repeatedly ignores the supporter's explicit statements about wanting a bilateral agreement with China and keeps attacking a strawman position of 'unilateral pause.' The supporter patiently explains multiple aspects of pause proposals - including bilateral negotiations, enforcement mechanisms, economic considerations, and quotes from actual pause advocates like Eliezer Yudkowsky and David Krueger - but the opponent continues to repeat the same mischaracterization throughout the entire exchange. Shorter summary
Nov 26, 2025
acx
Read on
32 min 4,875 words 296 comments 245 likes podcast (29 min)
Scott argues AI safety regulation adds only 1-2% to training costs while America has a 10x compute advantage over China, making safety concerns irrelevant to the race; meanwhile, chip exports to China pose a far greater threat that the same critics ignore. Longer summary
Scott argues that AI safety regulation will not significantly harm America's position in the AI race with China. He breaks down the race into three levels (compute, models, and applications), showing America has a massive 10x compute advantage while China's strategy focuses on applications. He demonstrates that proposed AI safety regulations would add only 1-2% to training costs - trivial compared to America's compute lead. The real threats to US advantage are chip export policies and smuggling, where NVIDIA lobbies to sell advanced chips to China, potentially reducing the US advantage from 30x to 1.7x. Scott notes the irony that many people opposing safety regulation on China grounds simultaneously support chip exports, and argues safety regulation might actually help the US by improving security, enabling compute governance, and preventing future overreactions to AI incidents. Shorter summary
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