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PrimeIntellect-ai/experiments-autonomous-speedrunning — GitHub trending stats & insights | Trendshift
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Openhuman
PrimeIntellect-ai/experiments-autonomous-speedrunning
#
AI agent
autonomous nanogpt optimizer speedrun
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Data last synced with GitHub 4 days ago
Python
75
7
1 contributors
last commit 4 days ago
last user commit 4 days ago
created 5 days ago
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In the AGENTS.md for the Codex v3 run, the agent is explicitly told to fetch four specific human PRs to use as the starting point.
@vvvincent_c · x.com · about 1 hour ago
In these runs, the models have internet access which the models use to read open PRs directly on GitHub. You can see Claude Code copying results from human PRs in its `scratchpad/papers`:
@vvvincent_c · x.com · about 1 hour ago
I think the results from this post are overblown and pretty misleading. ~All improvements come from the models copying human records and open PRs. None of the models' own “novel” ideas worked.
@vvvincent_c · x.com · about 1 hour ago
The agents are very good at optimizer search, hyperparameter sweeps, and stacking methods together. The frontier stacks remix Contra-Muon, MuonEq, NorMuon, SOAP, and per-role LR splits, almost all…
@PrimeIntellect · x.com · 4 days ago
They struggle with novelty though. We ran a phase where every idea had to pass a novelty check, neither agent managed to improve the baseline. We release all the generated ideas here: Codex: Claude:
@PrimeIntellect · x.com · 4 days ago
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