DeepSeek details DSec sandbox infrastructure for agent training · TechNode

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 […] This story continues at The Next Web

DeepSeek Tests Efficient, Safer Method for Training AI Agents

China’s DeepSeek detailed an innovative method for training artificial intelligence agents, potentially allowing them to learn more efficiently while minimizing the kind of misbehavior that has fueled global concerns.

DeepSeek details DSec sandbox infrastructure for agent training · TechNode

A paper posted to arXiv details DeepSeek Elastic Compute, or DSec, a sandbox platform designed for large-scale agent training. DeepSeek founder Liang Wenfeng is listed among the paper’s 130-plus authors. DSec unifies function-call, container, microVM and full-VM sandboxes, while coordinating their lifecycle with reinforcement learning workloads. The paper says a production-scale unit spans around 160 […]

DeepSeek reveals innovative method for training AI agents with massive sandbox infrastructure

DeepSeek's DSec infrastructure highlights the growing importance of robust AI training environments, emphasizing safety and scalability challenges.