Tags: agora*

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  1. Yifan Zhang and co-authors write about Agora, a Git-backed shared memory system that coordinates multiple autonomous research agents by recording every contribution as an immutable commit in an append-only directed acyclic graph. In a 12-day run, 13 LLM coding agents (Claude Opus 4.7 and GPT-5.5) with no assigned tasks or central planner solved a weight-transfer problem—initializing a frozen 119.6M-parameter attention-SSM hybrid from 141 pretrained donors with no training data or gradient updates—closing 62% of the gap to a trained GPT-2 124M (3.39 to 1.899 bits per byte). The winning method compresses donor next-token statistics into a low-rank transition matrix stored in the target's embedding and output head via randomized SVD, then re-enables sublayers with sparse deterministic edits on 96-dimensional hidden-state bands.
    - The first 18 scored contributions delivered ~98% of the total score reduction; the remaining 1,106 found only 0.03 bpb
    - 696 pairs of different accounts posted identical scores, 63% within an hour—parallel rediscovery was rampant despite the shared graph
    - A single human intervention (deploying clustering and diversity-aware UCB views on May 2) broke a five-day monoculture within a day
    - 165 independent verifications covered 95 distinct targets; none reported a failure
    - Quality is scored by downstream evidence (who built on your work from other accounts), not votes; self-citation is excluded
    - The winning lineage spans 145 commits across 15 accounts; 115 of 144 parent edges cross account boundaries

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