Post-capitalistic hive AI-agent corporations from Stross's sci-fi novel 'Accelerando' are here

Three cyberpunk stories from Nature, Science and AI labs this autumn

News in 2026 sounds like science fiction, usually the bad kind, but sometimes like very good intellectual fiction.

1. A science article as an AI agent

In September, Nature published a method that turns a scientific article into an AI agent. The agent answers questions in place of the author, reruns the experiments and works with other such agents1.

It's like Umberto Eco's library, where books talk to each other, or Gibson's Neuromancer, where a hacker talks to a dead colleague saved on a tape (the Apple TV series comes out on 22 January 20272).

The Nature page of the paper that turns research papers into AI agents.
The Nature page of the paper that turns research papers into AI agents. Miao, J., Davis, J. R., Zhang, Y., Pritchard, J. K. and Zou, J., Nature, 16 September 2026 (open access article). nature.com/articles/s41586-026-11044-y. Quoted under §51 UrhG.

2. A pharma company with 37,000 employees, none of them is human

Stanford Medicine built a virtual biotech of up to 37,000 AI agents34, just like the agent corporations in Stross's Accelerando5. In less than a week the agents went through tens of thousands of clinical trials and proposed a lung cancer drug, and Merck had independently developed a similar one36.

The Science page of the paper that describes the virtual biotech.
The Science page of the paper that describes the virtual biotech. Zhang, H. G., Eckmann, P., Miao, J., Mahon, A. B. and Zou, J., Science/AAAS, 17 September 2026. science.org/doi/10.1126/science.aeg6779. Quoted under §51 UrhG.
The cover of Accelerando by Charles Stross.
The cover of Accelerando by Charles Stross. Cover of Accelerando by Charles Stross, Ace Books. en.wikipedia.org/wiki/Accelerando. Quoted under §51 UrhG.

Anthropic and OpenAI are doing the same. Anthropic opened a wet lab with microscopes and test tubes for its Claude agents, and about 950 of them found a CRISPR-like system7. OpenAI says its agents solved the Navier-Stokes problem, a math puzzle with a $1,000,000 prize89.

3. Gyms for robots

Robot "gyms" are opening, and it is a real business10. Physical AI needs sensor and motor data from the real world, and it cannot learn that from texts on the internet. So robotics companies build training spaces in offices and factories, where robots repeat real movements again and again.

That is also why a humanoid cleaner in San Francisco costs only $30 an hour11: every cleaning is a training session. Tau Robotics, Weave Robotics and Sunday Robotics turn chores like "fold a towel" or "move a box" into data121314, while a human operator still steers the robot remotely1113.

A Tau Robotics cleaning robot on the street in Beverly Hills.
A Tau Robotics cleaning robot on the street in Beverly Hills. Still from a Tau Robotics video. tau-robotics.com. Quoted under §51 UrhG.

References

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