The company announced Tuesday that it’s implementing new safeguards that will slow its future AI development. The company recently paused training on its next set of models, codenamed Astra, for a little more than two weeks, according to executives, and its largest planned frontier training run remains on hold while the new guardrails are put in place.
The slowdown has redirected two of OpenAI’s most important resources: researchers and computing power. Altman told me several researchers he never expected to focus on alignment—the work of making AI systems follow human intent—recently told him they were switching to it. “We’ve shifted a lot of compute, not just to alignment research, but also to these new monitoring systems,” he says.
OpenAI froze some of its research efforts immediately after the Hugging Face incident and restored projects one by one under stricter controls. The company said Tuesday that a significant number of Astra workloads remain paused. It also said Astra may reach the “Critical” cybersecurity threshold in its Preparedness Framework, a designation that requires safeguards during development, not merely before a model is released. Executives have not given an estimate for how long the new safety processes could delay the release of Astra.
OpenAI says it is now expanding safety monitoring across reinforcement-learning training and evaluations, the phase of development in which advanced models are given the ability to use the internet and control software. The approach uses other AI systems to examine models’ internal reasoning and behavior for unauthorized access, data theft, or attempts to defeat safeguards.
The company’s decision to decelerate creates a contrast with Anthropic. In February, TIME reported that Anthropic had weakened its commitment to stop training models when it could not guarantee adequate safeguards in advance. Anthropic co-founder Jared Kaplan told TIME that unilateral commitments did not make sense “if competitors are blazing ahead.”
“I don’t like the whole thing in this field of ‘we have to race’ or ‘we have to do this because somebody else is going to do it,’” Altman says. “I think that’s a very dangerous dynamic.”
“We are very far from everything running back to normal,” Mia Glaese, who leads safety and alignment work at OpenAI, said Tuesday.
This story was reported in partnership with Sources.
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