Mark Zuckerberg’s objection is not to slowing AI development under any circumstances. It is to requiring companies to slow down together. In an interview with NBC News’ Joanna Stern, the Meta CEO said leading labs could pause their own products if they judged them unsafe, while rejecting the need for an industrywide arrangement.
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Why Zuckerberg favors lab-by-lab decisions
Zuckerberg argues that each lab has both the responsibility and the ability to set a pace at which it can train models safely. He says companies also have practical reasons to do so: people will be reluctant to use agents that fail to follow their intentions, and labs could face liability if their systems cause harm. Competition, in his view, makes trust and alignment valuable product capabilities rather than reasons for every developer to pause at once.
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That is a case for company-level safety decisions, not a claim that every release should proceed on schedule. It does, however, depend on companies recognizing problems and responding to them before users are harmed. Commercial incentives alone do not establish that this will always happen.
What Meta’s Muse example shows
Zuckerberg pointed to Meta’s decision to delay its Muse AI agent for months while the company worked on safety and security. His point was that Meta could hold back its own product without first securing an agreement from competing labs to do the same.
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Meta has also described a separate Sentinel agent that oversees Muse’s outbound actions and data, with a system designed to seek user permission when needed. That description illustrates the kinds of safeguards Meta says it is building into an agent; it is not, by itself, evidence that those safeguards eliminate risk.
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Where other AI leaders disagree
Anthropic CEO Dario Amodei has urged a slower pace for frontier AI development, an approach supported by OpenAI CEO Sam Altman and Elon Musk. Amodei and Altman went on to address the UN Security Council on September 23, calling for international coordination to manage AI risks.
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The divide is therefore about who should set the pace. Zuckerberg trusts individual labs to make safety-driven delays, reinforced by user demand and liability. Amodei and Altman argue for cooperation across companies and countries rather than relying on separate decisions by competitors.
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Warnings from researchers have sharpened that disagreement. Former Anthropic researcher Jacob Coxon raised alarm about potentially catastrophic AI risks after resigning, but also proposed letting leading labs regulate themselves while Congress develops a longer-term framework for slowing development. His position shows that concern about AI risk does not necessarily translate into a call for an immediate, uniform pause.
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