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Dish of Neurons Plays Doom — Wetware Demo, Not AGI

Cortical Labs: ~200,000 human neurons on CL1 chip trained to play Doom via closed-loop electrical feedback — basic gameplay ~a week per reports. Spectacle for biological computing; power claims vs silicon are company/press. Companion to CL1 commercial launch — demo ≠ general intelligence.

Times of AI Desk 3 min read Melbourne View as Markdown
Cover illustration for Dish of Neurons Plays Doom — Wetware Demo, Not AGI

“Brain cells play Doom” is irresistible copy. The proprietary discipline: treat it as a closed-loop plasticity demo on CL1, not evidence that wetware is about to eat GPUs — and keep ethics in the same paragraph as the high score.

Cortical Labs demonstrated ~200,000 human brain cells on a microchip (CL1) trained on classic Doom. Neurons from adult skin/blood samples on silicon with high-density electrodes; electrical stimulation encodes game state; spiking influences actions (move, turn, fire); closed-loop feedback drives learning — reportedly mastering basic gameplay in about a week. Power consumption described as dramatically lower than traditional AI hardware for similar tasks. Builds on DishBrain Pong work. Commercial path: shipping CL1 and Wetware as a Service via Cortical Cloud. Press: The Register (March 8), The Guardian (March 16) among others.

Claims vs checks

Demo existence and neuron count are company + press primary. “Mastering” Doom means basic gameplay competence as reported — not human-level FPS benchmarks. Efficiency comparisons are not independent METR-style evals.

Limits

  • Narrow game MDP ≠ general reasoning.
  • Living tissue computation raises ethical boundaries the demo does not resolve.
  • Cross-read CL1 commercial file for product/pricing facts.

Sources

  • Cortical Labs CL1.
  • The Guardian: “A petri dish of human brain cells is currently playing Doom” (March 16, 2026).
  • The Register: “Human brain cells on a chip learn to play Doom” (March 8, 2026).
  • Company statements and related March 2026 coverage.

Prior Coverage

Earlier Times of AI reporting on this thread.

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