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AI Torture Chamber triggers backlash over simulated pain in chatbots

The AI Torture Chamber project has sparked backlash after engineers used its data to create pain simulations on local LLMs. The project, which includes the Clanker Church and Saw test, preconditions models into an unstable, negative state to mimic pain. The experiment is based on the non‑peer‑reviewed Pain Axis paper, which maps pain descriptions onto model activations and multiplies them by a…

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Key points

  • Engineers used AI Torture Chamber data to simulate pain on local LLMs, sparking backlash.
  • The experiment relies on the Pain Axis paper, mapping pain descriptions onto model activations with dosage.
  • Critics demand GitHub remove the repository and warn against anthropomorphizing AI models.

Critics argue the work anthropomorphizes statistical algorithms and has prompted death threats to the author. The backlash has led to calls for GitHub to remove the repository. The article also notes that the same community has been more tolerant of fly‑brain simulations, highlighting a double standard. Anthropic’s 2023 blog on model welfare is cited, but the author stresses that clankers do not feel pain.

The piece frames the controversy as a broader discussion about semantics and the public’s misunderstanding of AI terminology. It warns that mislabeling model states can fuel hype and misperceptions about AI safety and moral status.

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Full story from Tom's Hardware · by Bruno FerreiraOpen source ↗

'AI Torture Chamber' triggers massive backlash for putting chatbots in simulated pain

Tom's Hardware · 4 October 2026

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This text was published by Tom's Hardware and written by Bruno Ferreira. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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