1 link tagged with all of: ai regulation + regulatory capture
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Cohere's CEO argues that major AI labs are using safety concerns as cover to lock in their market dominance through government-blessed cartels, and proposes an open, evidence-based framework for AI regulation instead of letting a handful of Silicon Valley companies dictate global standards.
- Big AI companies are asking governments for antitrust exemptions to coordinate on safety standards and slow development, which would entrench their advantages while excluding other developers and the public from the rule-making process entirely.
- Historical precedent shows this strategy fails: bond rating agencies and car manufacturers got similar regulatory protections under safety justifications, then used them to block competition for decades.
- Safety frameworks designed by a few labs only rigorously assess risks they've already built defenses for, ignore legitimate scientific disagreements (like whether model size or system design matters more for security), and set entry barriers so high that only well-funded incumbents can comply.