Voozh

Prime Intellect

2,790 posts

👁 Image

👁 user avatar

Prime Intellect

@PrimeIntellect

The Open Stack for Self-Improving Agents discord.gg/primeintellect

Joined June 2020

Pinned
👁 user avatar
Prime Intellect
@PrimeIntellect
May 7
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.
👁 Image
00:00
Prime Intellect reposted
👁 user avatar
Vincent Weisser
👁 Prime Intellect
@vincentweisser
21h
We are so back! Future looking bright to post-train, serve, and continuously improve your own model on top of models like GLM-5.2 using primeintellect.ai 🫡
👁 user avatar
Z.ai
@Zai_org
Jun 16
Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong
👁 Image
👁 Image
Prime Intellect - The Open Stack for Self-Improving Agents
From primeintellect.ai
Prime Intellect reposted
👁 user avatar
Vincent Weisser
👁 Prime Intellect
@vincentweisser
22h
Great RL systems deep dive by @SemiAnalysis_ Scaling RL is as much of an infra problem as an algorithm one SemiAnalysis ran experiments on our stack: Prime RL + Sandboxes. System efficiency is ultimately queue health to match generator and trainer throughput
👁 Image
👁 user avatar
SemiAnalysis
@SemiAnalysis_
Jun 16
RL Systems Mind the Gap: Matching Trainer and Generator Throughput RL Training Infrastructure, GRPO, PipelineRL, Async RL, Policy Staleness, RL Sandbox Infra, CPU Requirements, TCO Analysis, Thinking Machines Tinker newsletter.semianalysis.com/p/rl-systems-m…
Prime Intellect reposted
👁 user avatar
will brown
👁 Prime Intellect
@willccbb
Jun 14
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
👁 Image
👁 Image
👁 user avatar
MidCurveCapital
@midwit_capital
Jun 14
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.
Prime Intellect reposted
👁 user avatar
Vincent Weisser
👁 Prime Intellect
@vincentweisser
Jun 14
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
👁 Image
👁 user avatar
Satya Nadella
👁 Microsoft
@satyanadella
Jun 14
Article
A frontier without an ecosystem is not stable
I’ve been thinking a lot about the future of the firm in an AI-driven economy. This transition is different than any previous platform shift. In the past, we used digital systems to enhance human...
👁 user avatar
Prime Intellect
@PrimeIntellect
Jun 10
Replying to @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.
👁 Image
👁 user avatar
Prime Intellect
@PrimeIntellect
Jun 10
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.
👁 Image
👁 user avatar
Prime Intellect
@PrimeIntellect
Jun 10
Read more:
👁 Image
True Agents Model the World
From primeintellect.ai
👁 user avatar
Prime Intellect
@PrimeIntellect
Jun 10
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.
👁 Image
Prime Intellect reposted
👁 user avatar
clem 🤗
@ClementDelangue
Jun 10
Concentration of power, capabilities and economic wealth is the biggest risk in AI. We need open science and open-source more than ever!
Prime Intellect reposted
👁 user avatar
Vincent Weisser
👁 Prime Intellect
@vincentweisser
Jun 10
open superintelligence 🫡
👁 user avatar
will brown
👁 Prime Intellect
@willccbb
Jun 10
capabilities are getting locked up. come join the fight jobs.ashbyhq.com/PrimeIntellect
👁 Image
Prime Intellect reposted
👁 user avatar
Daniel Auras
👁 Prime Intellect
@rasdani_
Jun 9
this is the biggest wake-up call to protect and nourish open source AI if you don't build out sovereign and independent models+infra closed labs will patronize you to an insulting degree
👁 user avatar
elie
👁 Prime Intellect
@eliebakouch
Jun 9
mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community also the fact that this is un purpose not visible to the user is crazy
👁 Image
Prime Intellect reposted
👁 user avatar
Beff (e/acc)
👁 Extropic
@beffjezos
Jun 9
This is why Prime Intellect must exist. We must diffuse the tools of recursive self-improving AI, otherwise Anthropic will build the singleton and concentrate power until they run the world government.
👁 user avatar
elie
👁 Prime Intellect
@eliebakouch
Jun 9
mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community also the fact that this is un purpose not visible to the user is crazy
👁 Image
Prime Intellect reposted
👁 user avatar
will brown
👁 Prime Intellect
@willccbb
Jun 10
capabilities are getting locked up. come join the fight jobs.ashbyhq.com/PrimeIntellect
👁 Image
👁 user avatar
Prime Intellect
@PrimeIntellect
Jun 7
👁 Image

URL: https://x.com/PrimeIntellect

⇱ Prime Intellect (@PrimeIntellect) / X