Cato: AI Pause Would Shield Big Tech, Not Improve Safety — SkimNews
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- Cato Institute scholar Jennifer Huddleston argued in a Monday blog post that a government-mandated AI pause would likely fail to fulfill its alleged safety improvements and could shield dominant companies from competition.
- Huddleston warned that a regulatory framework built for today's models may actively hinder tomorrow's, and that rules shaped around leading developers could help them consolidate power and limit competition.
- Jack Dorsey, Block's chairman and co-founder, posted on X Monday opposing industry-wide limits negotiated by today's AI leaders, arguing they could exclude the people who might expose failures or build alternatives.
- Dorsey said he supports independent testing and withholding models only when evidence shows their release would materially increase catastrophic risks that narrower measures cannot adequately address, adding: "Examination is not permission from a regulator or competitor."
- Sen. Bernie Sanders and Rep. Greg Casar proposed pausing advanced AI development until federal safety standards are established and permanently banning artificial superintelligence.
- OpenAI CEO Sam Altman has backed slower development and urged companies to strengthen safeguards without waiting for the federal rules he supports.
- OpenAI has asked lawmakers whether rival developers could legally agree to slow development, an antitrust question flagged alongside U.S.–China tensions by a recent Atlantic Council analysis.
Why it matters: The libertarian critique reframes AI safety regulation as a potential moat for incumbents like OpenAI, with Huddleston warning that pausing U.S. development could weaken cybersecurity defenses while foreign rivals continue advancing. Smaller AI developers could find it harder to compete under rules calibrated to the resources of today's leading labs, turning a safety push into a market-capture mechanism.
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