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Ben Buchanan lays out three recommendations to prevent dangerous AI misuse

According to a post on X by @CNASdc, Ben Buchanan made three recommendations during a CNAS livestream on how the U.S. can lead responsibly in AI. He proposed slowing China down, pacing the frontier while pairing safety and capabilities research, and expanding the role of government agencies in protection and testing. He also discussed China's decades-long investment in chip production and the effect of U.S.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-12T23:45:00+00:00 Detected 2026-11-13T10:18:25+00:00
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According to a post on X by @CNASdc, Ben Buchanan made three recommendations during a CNAS livestream on how the U.S. can lead responsibly in AI. He proposed slowing China down, pacing the frontier while pairing safety and capabilities research, and expanding the role of government agencies in protection and testing. He also discussed China's decades-long investment in chip production and the effect of U.S.

AI-assisted summary based on the listed source.

During a CNAS livestream on how the U.S. can lead responsibly in AI (#CNAS2026), Ben Buchanan recommended slowing China down, pacing the frontier while pairing safety and capabilities research, and expanding government agencies' role in protection and testing. He also discussed China's decades-long investment in...

For policymakers, AI labs and companies, these proposals point to possible changes in how frontier AI is paced, tested and traded with China, including the role of export controls. Anyone tracking AI governance should watch for follow-up detail on how government testing would work and whether these ideas move into formal policy. The source excerpt is partial, so the full argument is not visible here.

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Signal Strength 80% Technical label WATCH Public Interest 29 Category MONEY Reader Depth GENERAL

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 0 Practical Impact Score 20 Novelty Interest Score 70 Consequence Score 42 Curiosity Score 0 Shareability Score 45

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