DeepSeek publishes its method for training AI agents at scale
The paper says agent execution is untrustworthy, runs 380,000 isolated sandboxes at once because agents corrupt file systems and exhaust resources, and states plainly that no single mechanism can prevent all of it
Via TNW | Artificial-intelligence
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…
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