DeepSeek publishes its method for training AI agents at scale
DeepSeek has published a paper describing the platform it uses to train AI agents, which runs about 3 million sandboxes a day and states that agent execution is untrustworthy and that no single mechanism can prevent all misbehaviour. Europe requires every member state to have a regulatory sandbox of a very different kind operational by August 2027.
DeepSeek has published the method it uses to train AI agents at scale, describing a platform that runs millions of isolated sandboxes, Bloomberg reported. One production unit handles about 3 million sandboxes a day, or 380,000 at once. The paper is titled DeepSeek Elastic Compute and was posted on 19 September.
The reason is containment.
“Agent execution is untrustworthy,” the paper says, and agents “may corrupt filesystems, exhaust resources, or interfere with system components“. The platform sustains more than 5,000 sandbox creations a second. About 130 people...
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