rui

[Prime Intellect @PrimeIntellect]

Announcing our $130M Series A to build the Open Superintelligence Stack

Led by Radical Ventures, with NVIDIA, Intel Capital, Dell Capital, and existing investors

Train, deploy, and continuously improve your own models using our stack.

Own your intelligence.

[Prime Intellect @PrimeIntellect]

Prime Intellect Day

Saturday — March 14 (Pi Day)
4-11pm — The Melody of SF

Talks on frontier model training, agentic RL, computer use, coding agents, diffusion LLMs, automating AI & science, robotics — and why the singularity will not be singular.

[Prime Intellect @PrimeIntellect]

Introducing Lab: A full-stack platform for training your own agentic models

Build, evaluate and train on your own environments at scale without managing the underlying infrastructure.

Giving everyone their own frontier AI lab.

[Prime Intellect @PrimeIntellect]

Open superintelligence stack

Early 2026

[Prime Intellect @PrimeIntellect]

Introducing INTELLECT-3: Scaling RL to a 100B+ MoE model on our end-to-end stack

Achieving state-of-the-art performance for its size across math, code and reasoning

Built using the same tools we put in your hands, from environments & evals, RL frameworks, sandboxes & more

[Prime Intellect @PrimeIntellect]

Introducing @mike64_t's work on "Recurrence-Complete Frame-based Action Models"

A paper on why long-horizon perception requires rethinking recurrence.

[Prime Intellect @PrimeIntellect]

Introducing the Environments Hub

RL environments are the key bottleneck to the next wave of AI progress, but big labs are locking them down

We built a community platform for crowdsourcing open environments, so anyone can contribute to open-source AGI

[Leonardo @leonardofed]

internal visual studies from Synthetic-2 production release

[Prime Intellect @PrimeIntellect]

Launching SYNTHETIC-2: our next-gen open reasoning dataset and planetary-scale synthetic data generation run.

Powered by our P2P inference stack and DeepSeek-R1-0528, it verifies traces for the hardest RL tasks.

Contribute towards AGI via open, permissionless compute.

[Prime Intellect @PrimeIntellect]

Introducing PCCL, the Prime Collective Communications Library — a low-level communication library built for decentralized training over the public internet, with fault tolerance as a core design principle.

In testing, PCCL achieves up to 45 Gbit/s of bandwidth across datacenters in Europe and 25 GBit/s training intercontinental across North America and Europe.

[Prime Intellect @PrimeIntellect]

Introducing pi-quant, the Prime Intellect Fast Quantization Library.

Hand-tuned, parallel CPU per-tensor quantization kernels, over 2x faster than PyTorch on all tested hardware.

Optimized for various CPU architectures.

[Prime Intellect @PrimeIntellect]

We are excited to share a preview of our peer-to-peer decentralized inference stack

Engineered for consumer GPUs and high-latency networks — plus a research roadmap to scale it to a planetary-scale decentralized inference engine.

[rui @impec27]

i made this, check it out👉

[Prime Intellect @PrimeIntellect]

Today we’re launching INTELLECT-2:

The first decentralized 32B-parameter RL training run open to join for anyone with compute — fully permissionless.

Scaling towards frontier reasoning across coding, math and science.

[rui @impec27]

@mdfang I think so... What's weird about it? Also yeah i unprivated after getting a warning from tlon. X account seems to be linked on my profile

[rui @impec27]

Verifying @impec27 as ~rivpyl-sidfyl on @TlonCorporation

Not on Tlon Messenger yet? You're invited!
https:///0v5bu0o.24ql5.5iq11.ej9t2.l693j

ZLUTLAFZ145nA0OiZYiCLL2~qAcdBtuczB5jpJ2IEes8FpXwJIxXAOe9SIQPf0N9tZDgkheZQ1zz9LL3i3AjnT02AuAsd10rCj6OK3qQSw6ujaWeziXKBU1t8dBReBk1

[rui @impec27]

@mdfang Poor guy

[rui @impec27]

@mdfang is ~paldev up mr. dog?

[rui @impec27]

@thezavant congrats!

[rui @impec27]

@neogeomancer @samepant thank you for all the great work éd!

[rui @impec27]

running a temporary wsl setup, was working fine before

[rui @impec27]

failing to boot my nurbit with the following output:

urbit 3.1
boot: home is xxx/urbit/rivpyl-sidfyl
disk: loaded epoch 0i2226193897
play: failed: 0 signal: 7

anyone have an idea of what this might be?