Jimmy @jimmy_811
@primeintellect SF Joined September 2016-
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just added a new role - we're looking for cracked gpu infrastructure engineers to work with our teams and customers on large scale clusters. if you have slurm/k8s/infiniband + strong python/linux background, this might be for you (or somebody you know)
Environment Hub opens a new scaling paradigm for agentic behavior: open, reusable infrastructure → more contributors → better evals → faster innovation cycles - and a path to open, state-of-the-art agentic models Another step toward open source AGI and open science
Environment Hub opens a new scaling paradigm for agentic behavior: open, reusable infrastructure → more contributors → better evals → faster innovation cycles - and a path to open, state-of-the-art agentic models Another step toward open source AGI and open science
we’re hiring ai researchers, engineers, growth, interns etc at @PrimeIntellect ping me if you want to work on open agi & frontier research infra for everyone
the 3.5 members of the prime intellect software/platform team are some of the most insane engineers ive ever met
wrapping up our team off-site more hyped than ever about what we're building rn at prime. we're accelerating on all fronts and are on a very differentiated path towards open & decentralized superintelligence. we have lots of product launches planned for the open-source community…
We are releasing SYNTHETIC-2 — an open dataset of 4m verified reasoning traces of complex rl tasks and verifiers The dataset was collaboratively generated by over 1,250 GPUs contributed across the globe via our pipeline-parallel decentralized inference
We are releasing SYNTHETIC-2 — an open dataset of 4m verified reasoning traces of complex rl tasks and verifiers The dataset was collaboratively generated by over 1,250 GPUs contributed across the globe via our pipeline-parallel decentralized inference https://t.co/Wb68HEbU86
Releasing SYNTHETIC-2: our open dataset of 4m verified reasoning traces spanning a comprehensive set of complex RL tasks and verifiers. Created by hundreds of compute contributors across the globe via our pipeline parallel decentralized inference stack. primeintellect.ai/blog/synthetic…
So I think something else that doesn't get discussed much is the extrapolation of this inference : training trend - 2015: back in the day, we would train one model per dataset, and inference it once (to obtain the eval result for our paper) - 2020: with chatgpt, multi-task…
We did it — SYNTHETIC‑2 is complete. A planetary-scale decentralized inference run generating 4M verified reasoning samples. 1,250+ GPUs joined in 3 days — from 4090s to H200s — creating data for complex RL tasks. Full open-source release + technical report coming next week!
We did it — SYNTHETIC‑2 is complete. A planetary-scale decentralized inference run generating 4M verified reasoning samples. 1,250+ GPUs joined in 3 days — from 4090s to H200s — creating data for complex RL tasks. Full open-source release + technical report coming next week! https://t.co/RAEI3NQ4GL
there is no excuse for any gpu on earth to be idling right now every idle gpu can and should contribute to generating high quality synthetic data for training the next generation of opensource reasoning models
there is no excuse for any gpu on earth to be idling right now every idle gpu can and should contribute to generating high quality synthetic data for training the next generation of opensource reasoning models
Initializing planetary scale inference... x.com/i/broadcasts/1…
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.
We asked @_sholtodouglas from @AnthropicAI about the costs of RL (Reinforcement Learning) runs. "In @DarioAmodei's essay, he said that RL runs cost only $1M back in December." "RL is a more naively parallelizable and scalable than pre-training." "With pre-training, you need…
if you're into pure maths and can code come join me at @PrimeIntellect - there's lots of fun and alpha in being able to reason about the parameter space through the tools of differential and algebraic geometry.
if you're into pure maths and can code come join me at @PrimeIntellect - there's lots of fun and alpha in being able to reason about the parameter space through the tools of differential and algebraic geometry. https://t.co/FNcmyb3LEO
fun fact: @PrimeIntellect has around 20 employees total everyone is exceptional at what they do. you have a lot of autonomy, and that comes with a lot of responsibility. we're hiring, but not rapidly. we want someone really, really good for this role. sound like fun?
fun fact: @PrimeIntellect has around 20 employees total everyone is exceptional at what they do. you have a lot of autonomy, and that comes with a lot of responsibility. we're hiring, but not rapidly. we want someone really, really good for this role. sound like fun?
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…
We asked @vincentweisser about his vision for utilizing GPUs. "Every idling GPU is a market failure. Compute will be one of the biggest slices of GDP." "The goal is to have a fault-tolerant 'genius pool' of compute, ranging from H100s, A100s to even RTX 3090s." "Unutilized…
We asked @vincentweisser about his vision for utilizing GPUs. "Every idling GPU is a market failure. Compute will be one of the biggest slices of GDP." "The goal is to have a fault-tolerant 'genius pool' of compute, ranging from H100s, A100s to even RTX 3090s." "Unutilized… https://t.co/lE8ejeWGVV
all that remains to solve for unlocking truly massive scale is the question of aligning incentives to host rollouts. Also, we need to go even smaller as we go bigger. I would donate a 4090 whenever it's idling. When I bought a 1080 Ti, the first thing I did was install BOINC…
all that remains to solve for unlocking truly massive scale is the question of aligning incentives to host rollouts. Also, we need to go even smaller as we go bigger. I would donate a 4090 whenever it's idling. When I bought a 1080 Ti, the first thing I did was install BOINC…
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