Prime Intellect

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Prime Intellect

Prime Intellect

@PrimeIntellect

The Open Stack for Self-Improving Agents https://t.co/ZRZOsRRbwr

Inscrit le Haziran 2020
40 Abonnements66.6K Abonnés
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Prime Intellect
Prime Intellect@PrimeIntellect·
The next wave of AI will not be won by better prompts. It will be won by systems that learn from experience. Today, Prime Intellect Lab is out of beta, open for you to start training your own models. The era of self-improving agents is here.
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will brown
will brown@willccbb·
been beating this drum since early 2025, seems like people are starting to see why it's so important :) RL works -> "train or get trained on" -> open models + post-training infra are the path to institutional flywheels + democratization of AI progress
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MidCurveCapital@midwit_capital

The next big trade is infrastructure / RL environments that enable companies to turn their institutional knowledge / processes into continuously improving learning loops that they can own.

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Vincent Weisser
Vincent Weisser@vincentweisser·
Satya is perfectly describing the why and what behind @primeintellect since 2023 🫡 > AI needs to be open & sovereign > Let every company create its own self-improving agents: and own their loop to make them better > A rich open ai ecosystem creates far more abundance than a future locked down by a few closed labs > Every company is becoming an ai company: so every company needs to own its own product <> model improvement loop @primeintellect enables this today: > Your own evals + rl envs for the outcomes you care about > models self-improving in production from your real traces > don't cede your moat to a handful of labs. This self-improvement loop is the IP and it compounds Open self improving agents for everyone 🫡
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Satya Nadella@satyanadella

x.com/i/article/2065…

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Vivek
Vivek@vivek_2332·
Introducing RLEnv_audit Audit your RL environment before burning GPU hours. rlenv_audit is able to catch broken rewards, brittle parsers and contaminated datasets and gives you a feedback on what to fix. > uvx rlenv-audit install-skills
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Prime Intellect
Prime Intellect@PrimeIntellect·
We show strong results in the under-resourced programming language Forth and evaluate generalization to unrelated environments. We also characterize what aspects of an environment lead to overfitting when using ECHO, how model behavior is impacted, and much more.
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Prime Intellect
Prime Intellect@PrimeIntellect·
By performing SFT on tool outputs and RL on the assistant tokens, we can efficiently teach the model the environment dynamics. This happens on-policy: the LLM models the environment not in a vacuum but in response to its own actions.
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Prime Intellect
Prime Intellect@PrimeIntellect·
True agents model the world. Current training provides no separation between agent and environment: pre-training only trains world modeling, RL only agentic actions. We combine both using ECHO by @DimitrisPapail and @VaishShrivas.
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clem 🤗
clem 🤗@ClementDelangue·
Concentration of power, capabilities and economic wealth is the biggest risk in AI. We need open science and open-source more than ever!
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Uncertain Systems (e/acc)
Uncertain Systems (e/acc)@uncertainsys·
You know ppl are cooking when they come prepared with their own remote GPU setup for the hackathon. For those who don't, we are giving out free @PrimeIntellect credits to the hackathon participants
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Uncertain Systems (e/acc)@uncertainsys

Einstein revolutionized physics as a professor at ETH Zurich. Now, on June 10th, the same halls will host the Probabilistic and Thermodynamic Computing Hackathon. Hands on with Energy Based Models and the tools and frameworks from the @extropic team led by CEO @GillVerd. They are building physics first AI chips for the post GPU era. Sponsored by ETH Future Computing Laboratory (EFCL), ExtropicAI & myself (Uncertain Systems) $3000 prizes. Under 80 seats Sign-up now: pc-hackathon.openlesson.academy

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NVIDIA AI
NVIDIA AI@NVIDIAAI·
The NVIDIA Nemotron Coalition continues to grow. We're excited to welcome new members: @hcompany_ai, @NousResearch, and @PrimeIntellect. And a big thank you to our existing members: @bfl_ai, @cursor_ai, @LangChain, @MistralAI, NAVER Cloud, @perplexity_ai, @ReflectionAI_, @SarvamAI, and @thinkymachines. Nemotron 3 Ultra was developed with contributions from Coalition members, and we're excited to keep building with them on future model releases. We're just getting started!
Prime Intellect@PrimeIntellect

We're excited to join the NVIDIA Nemotron Coalition 💚 Frontier open models matter for the whole ecosystem. We're bringing the RL infrastructure and environments we've built over the last year to help scale agentic capabilities. primeintellect.ai/blog/nemotron-…

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Prime Intellect
Prime Intellect@PrimeIntellect·
Our contribution: the post‑training & RL environments layer. 2,500+ open RL environments, the verifiers framework, Prime Sandbox, and NeMo Gym integration — all natively integrated into NVIDIA's ecosystem, incl. Nemotron.
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Prime Intellect
Prime Intellect@PrimeIntellect·
We're excited to join the NVIDIA Nemotron Coalition 💚 Frontier open models matter for the whole ecosystem. We're bringing the RL infrastructure and environments we've built over the last year to help scale agentic capabilities. primeintellect.ai/blog/nemotron-…
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