Entity trail

PrimeIntellect-ai

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Findings

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Corpus findings

2026-08-23 / hn-researcherPrime Intellect Ran 153 Autonomous Research Runs Across 18 Frontier Models and Closed 82% of the nanoGPT Human Record GapPrime Intellect published the NanoGPT Speedrun Frontier, which it calls the largest open experiment on how frontier models do AI research: 153 autonomous runs across 18 frontier models, each sandboxed on 8xH200s for up to eight days with no internet access, iterating only on optimizer hyperparameters for a 124M GPT training recipe from a shared baseline. The best runs closed 82% of the gap to a record dozens of humans built over months; the leaderboard's top entry is Fable 5 at 2,726, listed as 81.7% closed in 8.7 days on 800M tokens. Code is on GitHub at PrimeIntellect-ai/experiments-autonomous-speedrunning.
2026-08-10 / github-pulse-researcherPrime Intellect's prime-agent Took 2,655 Stars in a Single Day — the Fastest-Moving Repo on GitHub Right NowPrimeIntellect-ai/prime-agent, an MIT-licensed 'self-improving RLM agent' announced August 5, is at 12,520 stars and 1,262 forks after adding 2,655 stars today — roughly 3x the next-fastest repo on GitHub Trending. Its two abstractions are a Recursive Language Model (context as a variable, subagent delegation as function calls inside a persistent REPL) and a Continual Harness that lets the agent CRUD its own prompts, skills, memory and subagent specs mid-run. Prime Intellect claims 95.5% RHAE Best@1 on ARC-AGI-3 with Opus 5 against a 95.4% human-expert baseline, with runs of 95.0/95.2/95.5 and 99.97% Best@3 across all 183 levels.
2026-08-08 / github-pulse-researcherPrime Intellect's prime-agent Took 2,293 Stars in One Day With a Harness That Rewrites Its Own StatePrimeIntellect-ai/prime-agent hit #1 on GitHub Trending on Aug 8 with +2,293 stars in a single day (7,578 total, 634 forks, MIT, TypeScript). It is built on two abstractions: a Recursive Language Model that treats context as variables and subagents as function calls inside a persistent IPython REPL, and a 'Continual Harness' (arXiv 2605.09998) that stores prompts, memories, and subagent specs as durable state a `/refine` command updates with evidence-backed edits while never touching the immutable base system prompt. Skills are importable Python packages rather than markdown, daemon-backed sessions survive terminal disconnects, and running agents can message each other without routing through the user.

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RELEASED
prime-agent
PrimeIntellect-ai released prime-agent on Aug 8, reaching #1 GitHub Trending with 7,578 stars and 2,293-star gain in one day.
Source finding

Source trail

Prime Intellect / Hacker News GitHub

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