Prime Intellect launches Prime Agent, a self-improving RLM coding agent
It uses recursive language models and continual harness abstractions, achieving 95.5% on ARC-AGI-3 and excelling at long-context tasks.
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AI research and development company focused on open infrastructure
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In short: Prime Intellect secured over $150M in funding and launched Prime Agent, a self-improving coding tool that achieved 95.5% on the ARC-AGI-3.
It uses recursive language models and continual harness abstractions, achieving 95.5% on ARC-AGI-3 and excelling at long-context tasks.
The preview introduces a Runtime abstraction, interception server, message graph traces, and branch support for training and evaluation across multiple agent dialects.
Led by Radical Ventures with NVIDIA, Intel, and Dell Technologies Capital, totaling over $150M. The company reports over $100M annualized revenue from 6,000 customers.
Users can run evaluations via platform or CLI, publish results to leaderboards, and inspect traces and sampling parameters for transparency.
Prime Intellect launches Prime Agent, an open-source self-improving coding harness scoring 95.5% on ARC-AGI-3, backed by $150M in total funding.
Prime Intellect developed a full-stack platform that helps companies build and train their own AI agents without relying entirely on frontier AI labs.
Founded in 2024, Prime Intellect’s goal is to give organizations capabilities to train their own agentic systems without relying on frontier AI labs.
Prime Intellect: Prime Intellect debuts INTELLECT-3, an RL-trained 106B parameter open source MOE model it claims outperforms larger models across math, code, science, reasoning...
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