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Overview
Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack.
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Measuring Autonomous AI Research
We ran 153 autonomous runs across 18 frontier models on the nanoGPT optimizer speedrun.
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Prime Agent: A self-improving RLM agent
Prime Agent is our open-source, self-improving coding harness built around two abstractions: the Recursive Language Model (RLM) and the Continual Harness. With Opus 5, it achieves 95.5% on ARC-AGI-3, surpassing the reported human expert baseline.
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Prime Intellect (@PrimeIntellect) on X
Introducing Prime Agent:A self-improving RLM harness for coding and long-running autonomous tasks.Designed to be both token-efficient and expressive through programmatic tool calling, context as a variable, multi-agent messaging, and a self-modifiable har
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Scaling Agentic RL: 365,000+ Environments for SWE, Terminal, and Search
We ship first-party integrations for 23 agentic tasksets behind one taskset API - 365,000 software engineering, terminal, and search tasks, validated and ready for evals and RL training on Prime Intellect infrastructure.
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