Prime Intellect 研究博客：GLM-5.2 RL 权重 4 秒传输等成果汇总
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Prime Intellect 研究博客列出多项成果，其中 GLM-5.2 的 RL 权重传输借助 NIXL 和 ModelExpress 可在 4 秒内完成。
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Research AUG 28TH, 2026 GLM-5.2 RL weight transfer in 4 seconds using NIXL and ModelExpress
Research AUG 25TH, 2026 Uncovering a universal offline sandbox escape
Research AUG 14TH, 2026 Measuring Autonomous AI Research
Research AUG 13TH, 2026 Prime Flash MoE - Faster MoE Kernels optimized for Blackwell
Research AUG 07TH, 2026 Multi-Agent Systems in PRIME-RL
Research AUG 05TH, 2026 Prime Agent: A self-improving RLM agent
Research JUL 22ND, 2026 Scaling Agentic RL: 365,000+ Environments for SWE, Terminal, and Search
Research JUL 10TH, 2026 verifiers v1: Decomposing Tasksets and Harnesses for Agentic RL & Evaluations
Research JUL 05TH, 2026 prime-rl gets an Algorithms layer
Research JUN 21ST, 2026 RL at 1T Scale: prime-rl Performance Deep Dive
Research JUN 05TH, 2026 True Agents Model the World
Research MAY 20TH, 2026 Systematic Reward Hacking and Prime Sprints
Research MAY 18TH, 2026 General Agent: A Self-Evolving, Synthetic Agent Environment
Research MAY 14TH, 2026 Autonomous AI research for nanogpt speedrun
Research MAY 12TH, 2026 renderers: Token-Level Templating for Agentic RL.png%26w%3D3840%26q%3D75&mode=full&exp=1791158400&sig=8a87c10a517a5dc3)
Research JAN 01ST, 2026 Recursive Language Models: the paradigm of 2026
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来源：Prime Intellect（网页） · primeintellect.ai