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Anthropic calls for a global slowdown in frontier AI development as it prepares an IPO

Anthropic executives argue that advanced AI is nearing the point of improving itself and that development should slow to let safety research catch up. Critics question the timing.

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Photo: Maxim Hopman / Unsplash

An unusual debate has opened in the AI industry, and it was started not by a critic or a regulator but by one of the sector’s largest companies. Senior Anthropic executives have published an essay calling for the development of the most advanced AI systems to be slowed, or paused temporarily, to give safety research time to catch up.

The argument for slowing down

Anthropic’s position is that AI is approaching a stage at which systems may be able to improve their own capabilities. If that happens, the company argues, the pace of progress could outrun human oversight and control.

The essay compares the situation to nuclear arms control, where the development of a powerful technology was accompanied by safety rules and international monitoring. Anthropic says a similar framework is needed for frontier AI.

Chief executive Dario Amodei has warned before that extremely powerful AI carries a real chance of catastrophic outcomes, and that the probability of such outcomes cannot be dismissed.

Questions about timing

The call comes as Anthropic prepares to go public. The company recently filed confidential paperwork for an initial public offering, a fact that has shaped how critics are reading its proposal.

Some experts say the company is raising legitimate safety concerns. Others argue that proposals of this kind could become barriers for new or smaller companies while entrenching the advantages of the current leaders, Anthropic included.

An industry at odds with itself

The episode highlights a contradiction running through the AI sector. On one side, companies are racing to build ever more powerful models, raising billions of dollars and competing for market position. On the other, the same companies are warning that progress may be moving too fast for anyone to understand its effects and make it safe.

The question facing the industry is no longer only how capable the next model will be, but whether human institutions can keep pace with the speed of the technology.

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