PRIME Intellect
Blog

Latest Updates fromPrime Intellect.

True Agents Model the World
ResearchJUN 05TH, 2026
True Agents Model the World
Post-Training Nemotron 3 on Lab
PartnershipsJUN 04TH, 2026
Post-Training Nemotron 3 on Lab
Prime Intellect Joins the NVIDIA Nemotron Coalition to Advance Open Frontier Models
PartnershipsJUN 04TH, 2026
Prime Intellect Joins the NVIDIA Nemotron Coalition to Advance Open Frontier Models
Releasing Hosted Evaluations: Making benchmarking effortless
AnnouncementsMAY 28TH, 2026
Releasing Hosted Evaluations: Making benchmarking effortless
Systematic Reward Hacking and Prime Sprints
ResearchMAY 20TH, 2026
Systematic Reward Hacking and Prime Sprints
General Agent: A Self-Evolving, Synthetic Agent Environment
ResearchMAY 18TH, 2026
General Agent: A Self-Evolving, Synthetic Agent Environment
Autonomous AI research for nanogpt speedrun
ResearchMAY 14TH, 2026
Autonomous AI research for nanogpt speedrun
renderers: Token-Level Templating for Agentic RL
ResearchMAY 12TH, 2026
renderers: Token-Level Templating for Agentic RL
Releasing Lab: the training platform for self-improving agents
AnnouncementsMAY 07TH, 2026
Releasing Lab: the training platform for self-improving agents
Launching FrontierSWE on the Environments Hub
PartnershipsAPR 16TH, 2026
Launching FrontierSWE on the Environments Hub
Partnering with Browserbase to Train Browser and Computer Use Agents
PartnershipsMAR 30TH, 2026
Partnering with Browserbase to Train Browser and Computer Use Agents
Leveraging NVIDIA to Build the Open Superintelligence Stack
PartnershipsMAR 16TH, 2026
Leveraging NVIDIA to Build the Open Superintelligence Stack
Introducing Lab: The Full-Stack Platform for Training your Own Models
AnnouncementsFEB 10TH, 2026
Introducing Lab: The Full-Stack Platform for Training your Own Models
Recursive Language Models: the paradigm of 2026
ResearchJAN 01ST, 2026
Recursive Language Models: the paradigm of 2026
INTELLECT-3: A 100B+ MoE trained with large-scale RL
AnnouncementsNOV 26TH, 2025
INTELLECT-3: A 100B+ MoE trained with large-scale RL
Scaling Our Open-Source Environments Program
AnnouncementsOCT 27TH, 2025
Scaling Our Open-Source Environments Program
Environments Hub: A Community Hub To Scale RL To Open AGI
AnnouncementsAUG 27TH, 2025
Environments Hub: A Community Hub To Scale RL To Open AGI
SYNTHETIC-2 Release:  Four Million Collaboratively Generated Reasoning Traces
AnnouncementsJUL 10TH, 2025
SYNTHETIC-2 Release: Four Million Collaboratively Generated Reasoning Traces
SYNTHETIC-2
AnnouncementsJUN 23RD, 2025
SYNTHETIC-2
PCCL - Prime Collective Communications Library
AnnouncementsMAY 20TH, 2025
PCCL - Prime Collective Communications Library
INTELLECT-2 Release: The First 32B Parameter Model Trained Through Globally Distributed Reinforcement Learning
AnnouncementsMAY 11TH, 2025
INTELLECT-2 Release: The First 32B Parameter Model Trained Through Globally Distributed Reinforcement Learning
Planetary-Scale Inference: Building a Distributed Inference Engine for the Public Internet
AnnouncementsAPR 28TH, 2025
Planetary-Scale Inference: Building a Distributed Inference Engine for the Public Internet
INTELLECT-2: The First Globally Distributed Reinforcement Learning Training of a 32B Parameter Model
AnnouncementsAPR 15TH, 2025
INTELLECT-2: The First Globally Distributed Reinforcement Learning Training of a 32B Parameter Model
$15M to Build The Open Superintelligence Stack
AnnouncementsFEB 28TH, 2025
$15M to Build The Open Superintelligence Stack
SYNTHETIC-1 Release: Two Million Collaboratively Generated Reasoning Traces from Deepseek-R1
AnnouncementsFEB 20TH, 2025
SYNTHETIC-1 Release: Two Million Collaboratively Generated Reasoning Traces from Deepseek-R1
SYNTHETIC-1: Scaling Distributed Synthetic Data Generation for Verified Reasoning
AnnouncementsFEB 06TH, 2025
SYNTHETIC-1: Scaling Distributed Synthetic Data Generation for Verified Reasoning
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
AnnouncementsJAN 28TH, 2025
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
Distributed Training in the Inference-Time-Compute Paradigm
AnnouncementsJAN 21ST, 2025
Distributed Training in the Inference-Time-Compute Paradigm
METAGENE-1: Metagenomic Foundation Model
AnnouncementsJAN 06TH, 2025
METAGENE-1: Metagenomic Foundation Model
INTELLECT-1 Release The First Globally Trained 10B Parameter Model
AnnouncementsNOV 29TH, 2024
INTELLECT-1 Release The First Globally Trained 10B Parameter Model
INTELLECT–1: Launching the First Globally-Distributed Training of a 10B Parameter Model
AnnouncementsOCT 11TH, 2024
INTELLECT–1: Launching the First Globally-Distributed Training of a 10B Parameter Model
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
AnnouncementsJUL 11TH, 2024
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
Introducing Prime Intellect Compute: The compute exchange
AnnouncementsJUL 01ST, 2024
Introducing Prime Intellect Compute: The compute exchange
State-of-the-Art in Globally-Distributed Training
AnnouncementsAPR 23RD, 2024
State-of-the-Art in Globally-Distributed Training