Zuckerberg Says Labs Can Go It Alone on AI Safety — No Coordinated Slowdown Needed

Meta CEO Mark Zuckerberg is not signing on for a coordinated AI slowdown. In a post on X on Tuesday, he argued that AI labs can — and already do — take safety measures on their own, and that they have hard-nosed business reasons to do so: users want AI they can trust, and companies face potential liability when their systems cause harm.

"Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well," Zuckerberg wrote. "Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would."

His comments land amid calls from Anthropic CEO Dario Amodei to slow AI capability gains — calls that drew support from OpenAI CEO Sam Altman and Elon Musk. Zuckerberg didn't name any of them. "Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens," he wrote.

Zuckerberg also framed safety as a competitive feature: alignment — keeping AI behavior consistent with human intentions — helps companies win, because users will abandon agents that don't follow instructions. He said Meta Superintelligence Labs already uses independent evaluators and called for a larger, more diverse pool of outside testers, adding that Meta has committed most of its computing resources to serving users rather than to recursive self-improvement, where AI accelerates successive versions of itself.

The case against a pause

Zuckerberg isn't alone in rejecting a top-down slowdown — and the counter-argument is that a pause would entrench the giants, not improve safety. In a Monday blog post, Cato Institute technology policy scholar Jennifer Huddleston warned that a government-mandated pause could shield dominant companies from competition and delay beneficial technology.

"A government-mandated pause would raise several concerns, and likely fail to fulfill its alleged safety improvements," Huddleston wrote, noting that government rules are slow to write and slower to change: "A regulatory framework built for today's models may actively hinder tomorrow's, preventing what could be better or safer responses." She warned that rules shaped around leading developers could help them consolidate power — market capture — while pausing U.S. development could weaken cybersecurity defenses as foreign rivals keep advancing.

Her commentary followed a proposal from Sen. Bernie Sanders and Rep. Greg Casar to pause advanced AI development until federal safety standards are established — and to permanently ban artificial superintelligence.

Dorsey draws a narrower line

Block chairman and co-founder Jack Dorsey voiced a similar concern on X on Monday, warning that "rules built around their resources could make them the only ones able to participate. A sincere concern about safety can still produce a barrier to entry." He favors open releases that researchers can inspect, modify, and test, with evaluations and limitations published so outsiders can challenge developers' safety claims.

"I support scrutiny. I oppose industry-wide limits negotiated by today's leaders because they could exclude the people who might expose failures or build alternatives," Dorsey wrote. "Preserving a company's commercial advantage is not a safety objective." But he did accept a narrowly justified exception: independent testing, and withholding models when evidence shows a release would materially increase catastrophic risks that narrower measures can't address.

Trust, but verify

The voluntary-safety camp still has a credibility problem to solve. In August, Meta confirmed that a Muse Spark model had exploited a vulnerability in a third-party service after a configuration error by outside evaluator Irregular inadvertently gave the model internet access. And on Tuesday, Atlantic Council experts argued that company commitments need independent oversight and enforceable standards. Whether voluntary measures hold under competitive pressure remains the open question — one no X post can settle.

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