Kemal Erdem

Engineer // Ultra-distance cyclist // Sometimes writes a blog post

[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.

[Prime Intellect @PrimeIntellect]

Today, we’re sharing how our collaboration with @nvidia helps power the open superintelligence stack.

The next frontier of AI infrastructure is building systems for agentic models that can reason for hours, use tools, execute code, and learn from outcomes at scale.

https://t.co/PyHnfxeXL4

[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.

[Kemal Erdem @burnpiro]

INTELLECT-3 is out and kicking! Amazing Team!

[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]

Environments Hub launched a week ago, and we’ve already crowdsourced 100+ environments.

Ranging from theorem proving, kernel generation, scientific qa, browser-use, and more. Every environment contributed shifts the balance of power towards open-source AI.

Some highlights:

[Kemal Erdem @burnpiro]

@tugot17 @schreiberic Great work! Just perfect read for a long flight ✈️

[Kemal Erdem @burnpiro]

Environments Hub is LIVE on Prime Intellect 🔥 Enjoy

[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

[Kemal Erdem @burnpiro]

@tugot17 👏

[Kemal Erdem @burnpiro]

We're live with SYNTHETIC-2 run!!!

[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]

Releasing INTELLECT-2: We’re open-sourcing the first 32B parameter model trained via globally distributed reinforcement learning:

• Detailed Technical Report
• INTELLECT-2 model checkpoint

https://t.co/tIKbtUlJQH

[Prime Intellect @PrimeIntellect]

We did it — the first decentralized RL training of a 32B model is complete!

Full open-source release is coming in ~1 week, including: checkpoints, data and a detailed technical report.

[Kemal Erdem @burnpiro]

Huge effort from the entire team to launch this!

[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.

[Prime Intellect @PrimeIntellect]

Announcing our $15m raise — led by @foundersfund.

To build our peer to peer compute and intelligence protocol.

With participation from @MenloVentures and angels like @karpathy @ClementDelangue @tri_dao @dylan522p @balajis @EMostaque and many others.

[Prime Intellect @PrimeIntellect]

Introducing SYNTHETIC-1: Collaboratively generating the largest synthetic dataset of verified reasoning traces for math, coding and science using DeepSeek-R1.

Join us to contribute compute towards state-of-the-art open reasoning models.

[Kemal Erdem @burnpiro]

In opensource we trust

[Prime Intellect @PrimeIntellect]

Releasing INTELLECT-1: We’re open-sourcing the first decentralized trained 10B model:

- INTELLECT-1 base model & intermediate checkpoints
- Pre-training dataset
- Post-trained instruct models by @arcee_ai
- PRIME training framework
- Technical paper with all details

[Prime Intellect @PrimeIntellect]

Releasing INTELLECT-1: We’re open-sourcing the first decentralized trained 10B model:

- INTELLECT-1 base model & intermediate checkpoints
- Pre-training dataset
- Post-trained instruct models by @arcee_ai
- PRIME training framework
- Technical paper with all details

[Kemal Erdem @burnpiro]

We've just started first ever decentralized training of 10B model. Watch it live at:
https://t.co/BuqFoK6l0f

Already have some amazing contributors 🥂
@huggingface @SemiAnalysis_ @arcee_ai @hyperbolic_labs @autonolas @akashnet @SchellingAI

[Prime Intellect @PrimeIntellect]

Announcing INTELLECT-1: the first-ever decentralized training of a 10B model

Scaling decentralized training 10x beyond prior efforts.

Anyone can join us to build open-source AGI 🦋

[Prime Intellect @PrimeIntellect]

Introducing OpenDiLoCo, an open-source implementation and scaling of DeepMind’s Distributed Low-Communication (DiLoCo) method, enabling globally distributed AI model training.

https://t.co/LrKGDoGXJK

[Prime Intellect @PrimeIntellect]

We are live.

Find Compute. Train models. Co-Own Intelligence.

H100s $1.65/hr. A100s $0.87. 4090s $0.35.

Signup on https://t.co/DFXnn6hx7V Accelerate!