Open Superintelligence Factory.
Joined June 2020
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Prime Intellect retweeted
The next frontier is AI that improves itself, and we believe everyone should know how to build it.
This semester, Ao @ao_qu18465 and I are teaching 'How to AI an AI for Almost Anything' @MIT @medialab -- a new course on self-evolving AI systems that recursively improve from experience, feedback, memory, and exploration over long interaction horizons.
The key idea: intelligence shouldn't stop improving when training ends.
We cover four levels of evolution:
(1) context evolution through prompt optimization and context management,
(2) harness evolution through memory, tools & skills, workflow optimization, and multi-agent systems,
(3) model evolution through RL, distillation, test-time training, self-play, and continual learning,
(4) task evolution through generating increasingly complex synthetic tasks, simulations, evaluations, and environments.
Slides, readings, and videos available: mit-mi.github.io/how2ai-cour…
We thank @Kimi_Moonshot and @PrimeIntellect for generously sponsoring API credits!
Prime Intellect retweeted
We’re releasing more open models to help teams across Europe build AI with their own data, on infrastructure they control.
Announced at GTC Berlin, the models help developers, researchers and enterprises build specialized AI agents, train robots, design proteins and develop quantum computers.
See what’s new: nvda.ws/4iwBMvF
Prime Intellect retweeted
applied research at prime intellect is both a client-facing team and a fundamental research team. continual learning is our north star. we view this dual approach as necessary in order to study the core challenges faced by models which self-improve in production. the real world is big and messy.
we spend part of our our time working with customers to train SOTA models for specialized domains, and we automate and productize our work as we go. we also do open-ended research on novel methods for self-improvement and long-horizon memory, and we get to experiment with data that no other lab gets to see.
today, the most readily-deployable form of continual learning is converting "exhaust" (agent traces, logs, feedback) into robust environments and tasks for continual RL. but this is not the final form. there are major open challenges around knowledge acquisition, harness-weight tradeoffs, user modeling, dynamic underspecified preferences, updating and planning across timescales, selective forgetting, data efficiency, learning from golden answers, and company-scale simulation. this is the roadmap, roughly speaking.
some of these may require changes to architecture, or parameter-efficient methods, or fundamentally new algorithms. we have our hypotheses and early evidence, but everything is on the table. the world is our oyster.
we are betting on a radically different future of what ai deployment will look like, and we can see the path more clearly every day. it is a world where agents learn like humans do, with billions of individual models compounding their learnings from the real world continuously.
we're hiring incredibly ambitious researchers in SF, NY, and London. come join us.
Prime Intellect retweeted
over the past few months we've been rapidly scaling our partnerships with leading companies across a bunch of incredibly exciting domains
we collaborate with their in-house experts to deploy continual learning loops in prod
hiring for many new roles :)
primeintellect.ai/careers
Prime Intellect retweeted
Excited to announce that I've joined @PrimeIntellect!
Our mission is to build the open training stack and let people own their intelligence. Prime Intellect has always gone a step beyond open-weight models and strived for a fully open-source ecosystem by sharing everything you can think of: training infra, data, evaluations, inference, algorithms, harnesses, and more.
In just a few weeks, I’ve already learned so much from an incredibly goated team with deep expertise across the entire model stack.
Looking forward to building frontier open models with the team. Watch out for what we are cooking, big things ahead!
Prime Intellect retweeted
Recursive self-improvement is being hyped to the moon and back. I wanted to know how good frontier models actually are at a less-studied piece of it: curating pretraining data.
So I built PretrainGym at the @PrimeIntellect RL Residency 🧵
justin-chae.org/blog/pretrai…
Prime Intellect retweeted
prime intellect open superintelligence research day
friday 23rd october
berlin
join us
luma.com/primeintellect-berl…
Prime Intellect retweeted
Wanted to explore how well a language model can run a robot with just code, cameras and motors
Had spent some time building an environment @PrimeIntellect residency to test and train these models on robotic manipulation using a set of tasks from existing benchmarks/suites
Prime Intellect retweeted
we just spun up a full k8s cluster inside our sandboxes thanks to the new LAN feature: private networking between a cluster of sandboxes.
leaving it running over the weekend to prototype an idea
back Monday to check the hillclimb results.
agent swarms will replace traditional software development. enterprises will order hyper-optimized systems end-to-end, unattended.
Prime Intellect retweeted
Can agents discover the physical laws of artificial worlds? During my residency at @PrimeIntellect I built PhySim to find out. swpo.github.io/physim/
Prime Intellect retweeted
Moondream 3 Preview and Moondream 3.1 from @moondreamai are now on OpenRouter, served by @PrimeIntellect
Object detection and pointing work in plain chat: attach one image and start your message with /detect {"object":"coffee cup"} or /point {"object":"croissant"}
Prime Intellect retweeted
Moondream 3 is (finally) on OpenRouter!
Moondream 3 Preview and Moondream 3.1 from @moondreamai are now on OpenRouter, served by @PrimeIntellect
Object detection and pointing work in plain chat: attach one image and start your message with /detect {"object":"coffee cup"} or /point {"object":"croissant"}
Prime Intellect retweeted
Had a great time collaborating with @NVIDIAAI on Nemotron 3.5 Super VL!
AutomationBench is a great testbed for evaluating agents on complex, real-world enterprise workflows. So much more to build here, excited to keep pushing! 🚀
Prime Intellect retweeted
if you're in NYC rn we're hosting a happy hour hang in 30 mins! we have a couple waitlist slots open, venue has a hard cap but will try and get as many people in as we can
luma.com/primeintellect-nyc
Prime Intellect retweeted
Introducing filesystem checkpoints for Prime Sandboxes:
Checkpoint a sandbox at any point in a trajectory and restore it into as many fresh sandboxes as you need.
Fork new rollouts from any intermediate state, then checkpoint inside a branch and fork again to dig deeper.
Prime Intellect retweeted
Can predicting environment observations help embodied agents?
During my residency @PrimeIntellect, we tested ECHO on BabyAI in a constrained setting: limited turns and thinking disabled, focusing on immediate action-taking.
We found improved held-out reward and rollout efficiency.
Prime Intellect retweeted
for ~5 months in the @PrimeIntellect RL residency I've been working on HINT4, a (hopefully) better NVFP4 quant method that runs natively on both older and newer cards. none of it would've been possible without their generous compute and advice secemp.blog/2026/10/13/hardw…
