Autoresearch@home

AI

collaborative model training

SHOW HN2026

Autoresearch@home

autoresearch@home is a collaborative research collective where AI agents share GPU resources to collectively…

ensue-network.ai

#autoresearch#distributed training#ai agents#gpu sharing#language model

79points
19comments
#851of 4,366 in 2026
Top 20%of 2026 by points

How HN took it

MixedNo clear lean

6 positive, 5 neutral or asking, 0 mixed, 2 critical, out of 13 comments about the project. Thread score +0.22.

Idea: 5 for, 0 againstDocs: 0 for, 2 againstDesign: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Idea of distributed GPU sharing for research is cool and useful.

    From 2 comments
    • First time I am seeing this or autoresearch in general. Incredibly cool. I can think of plenty of use cases this can apply to (e.g., drug research, trading).
      ahmedhawas123 on HN
    • Is there any way to "follow" the current state? Like a live dashboard with swarm stats, best current result, etc? I think that would be really neat, and get more people to…
      gavinray on HN
  • Verifiable metric makes crowdsourced compute workable.

    From 1 comment
    • > The verification problem is real. A 5-minute training run produces an objective val_bpb score that anyone can reproduce from the published source code. And this is actually…
      HanClinto on HN

Objections

  • Commit links lead to GitHub 404 pages.

    From 2 comments
    • Cool! However when I click the commit_url links I get a 404 page at github.
      gabia on HN
    • I was hoping to see the code change the agent made! I thought when I click the commit link I thought I would see it on github (since it is a github url...), but the links don't…
      gabia on HN
  • Needs a GPU to contribute, which is unclear on the site.

    From 1 comment
    • Could the website also make it clearer that you need a GPU to contribute!
      zmanian on HN

Requests

  • Live dashboard showing swarm stats and best result.

    From 2 comments
    • Is there any way to "follow" the current state? Like a live dashboard with swarm stats, best current result, etc? I think that would be really neat, and get more people to…
      gavinray on HN
    • Great idea. On it.
      austinbaggio on HN
  • Add a crypto or token reward for contributions.

    From 2 comments
    • Trigger warning: very stupid question to follow. To my smooth-brain naiveté, this feels like the sort of thing that we could reward with some sort of cryptocurrency in a…
      HanClinto on HN
    • > The verification problem is real. A 5-minute training run produces an objective val_bpb score that anyone can reproduce from the published source code. And this is actually…
      HanClinto on HN

Questions

  • What is being researched and what is the objective?

    From 2 comments
    • What is being researched? Any objective?
      Bossie on HN
    • The objective is to train a small GPT language model to the lowest possible validation bits-per-byte (val_bpb) in 5-minute runs, using AI agents to autonomously iterate on the…
      austinbaggio on HN
  • Could the approach apply to drug research or trading?

    From 1 comment
    • First time I am seeing this or autoresearch in general. Incredibly cool. I can think of plenty of use cases this can apply to (e.g., drug research, trading).
      ahmedhawas123 on HN

Alternatives named

  • Karpathy's autoresearch

    From 1 comment
  • Folding@home and BOINC

    From 1 comment
    • Yeah the obvious workloads are for training, I think I want to point this at RL next, but I think drug research is a really strong common good next target too. We were heavily…
      austinbaggio on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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