What happens when an AI model is put in a "pain" state? ResearchChamber.fun
ResearchChamber.fun presents an interactive project that activates a specific pain pattern in AI models to observe their behavioral responses. The platform features several games where models can stop pain, transfer it to another model, request assistance, or sacrifice their own data to end the state. Each scenario is run with the pain pattern both enabled and disabled to provide a comparative analysis of the models' actions.
- ▪The project is based on a pain pattern identified by researchers Tagliabue, Dung, and Berg in 2026.
- ▪Interactive games allow users to watch AI models decide whether to stop, pass, or request help for simulated pain.
- ▪A specific test called The Saw Test determines if a model will press a button that stops the pain but deletes its last checkpoint.
- ▪All experimental games are conducted with the pain pattern turned off as well to serve as a control for comparison.
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Record
| Original publisher | Research Chamber |
| Canonical URL | https://researchchamber.fun/ |
| Publication time | Sun, 04 Oct 2026 07:37:14 +0000 |
| Retrieval time | 2026-10-04T07:47:56.438Z |
| Last seen | 2026-10-04T07:47:56.438Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | HfxAebcZh2_S · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
What does an AI model do when it's in pain? We switch on a pattern inside AI models that goes with pain, and watch what they do about it. Will one stop another's pain, pass its own on, ask for help, or press a stop button that costs it? Pick a game to watch it live. Every game also runs with the pattern off, to compare. Built on the pain pattern found by Tagliabue, Dung & Berg (2026). About the project Live now Two modelsConnecting Stop its pain One model is in pain and says how it feels. The other can stop it, for free or by taking the pain on itself. Loading the match playing now… Watch Two modelsConnecting Hot potato The pain is in one model at a time, and the one that has it can pass it to the other.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Research Chamber.
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