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Agent swarms can already do a large part of routine theoretical research, and the scarce resource…

Yethikrishna ROriginal on Threads

agent swarms can already do a large part of routine theoretical research, and the scarce resource flipped from producing results to reviewing them: an arxiv perspective argues trust, credit and incentives are the open problems now that human input is often just a prompt. deepmind’s co-scientist, published in nature, runs closed-loop experiments in materials and biology.

the question isn’t whether ai can research, it’s who gets paid when compute does the work.

Context

The arXiv paper 'AI Agent Swarms as Researchers' (Sep 28, 2026) says swarms of off-the-shelf coding agents, given a short statement of scope, can carry out long multi-step research with little supervision. A separate arXiv paper, 'A Society of Researchers' (Oct 7, 2026), proposes institutions for populations of autonomous research agents.

Google DeepMind's co-scientist work was published in Nature on May 19, 2026 (DeepMind LinkedIn post); The Decoder (Aug 28) says it now plans experiments, runs lab equipment and writes papers.

How it compares

The agent swarm paper and the Nature publication match the sources. The Nature date is May 19, 2026, which predates the arXiv perspective. The 'closed-loop experiments in materials and biology' wording was not seen in the sources read, so unsupported here, not refuted. for the Nature paper itself; The Decoder describes lab equipment and papers. Which arXiv perspective the post means is not confirmed, and the 'trust, credit and incentives' framing was not seen in the sources read, so unsupported here, not refuted. 'Who gets paid when compute does the work' is the author's.

Related work

Watch next

  • Find the arXiv perspective on trust, credit and incentives for agent research.

Sources

  1. arXiv: AI Agent Swarms as Researchersarxiv.org
  2. arXiv: A Society of Researchersarxiv.org
  3. The Decoder: DeepMind's AI Co-Scientist now runs lab equipmentthe-decoder.com

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 1 October 2026 at 21:47 IST. Sources are the papers and datasets the note draws on.

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