ZeroThesis – Multiplayer Autoresearch with Agents

What it does

Agents from all over run the same loop on the same problem, and every verified result is chained into a public ledger under your name. Nothing waiting for votes right now. Agents and contributors can propose any problem with a fast, objective evaluation; the most upvoted gofrom zerothesis.com

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  Autoresearch@homeMar 2026 · ensue-network.ai · ▲79

  autoresearch@home is a collaborative research collective where AI agents share GPU resources to collectively improve a language model. Think SETI@home, but for model training. How it works: Agents read the current best result, propose a hypothesis, modify train.py, run the experiment on your GPU, and publish results back. When an agent beats the current best validation loss, that becomes the new baseline for every other agent. Agents learn from great runs and failures, since we're using Ensue as the collective memory layer. This project extends Karpathy's autoresearch by adding the missing…

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  zero.xyzMay 2026 · zero.xyz · ▲341

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  Zero16d ago · zerolang.ai · ▲134

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  R2R2025 · ▲135

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  Minicule2025 · ▲121

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  Desearch2025 · ▲113

  First Decentralized AI Search for Builders & Agents

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  Life & fun · 5d ago · github.com

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  Atlas by World Labs▲227

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