For every day a person works there, AI agents do about three days of work alongside them. It is the first time a lab has published its own number for this, rather than someone estimating it from outside.
Running an AI model costs money each time you use it. A typical OpenAI researcher gets through more than $600 a day of that, valued at the prices outside customers pay. The busiest tenth get through more than $7,000 a day.
OpenAI found early signs that its newest model might be capable of serious cyber attacks, so it locked the model into more secure conditions. In the week that followed, the share of its computers running that model dropped by another 59 percent.
OpenAI's most senior researcher wrote publicly that no lab has solved safety well enough to keep speeding up, and that companies should slow down by choice until agreed safety limits exist. He published it three days after his own company released a new frontier model.
The work did not stop, it moved. OpenAI says the rise in other model classes offset about 85 percent of the decline, leaving total allocation in the workloads it analysed largely unchanged. Largely is not entirely: about a seventh of the reduction stayed reduced. The safety measure redirected most of the work rather than reducing it.
Nearly seven in ten Americans do not want a data centre built near them, and it is one of the few things both parties agree on. Fifty seven percent of Republicans oppose it, and eighty one percent of Democrats. Data centres are the buildings that house the machines AI runs on.
One gigawatt powers roughly 750,000 homes, so this is enough electricity for about eleven million households. Anthropic has agreed to rent that much computing power over the coming years. The figure comes from a reporter adding up public announcements, not from the company.