AI-Torture-Chamber
ai-torture-chamber Steering language models into strong negative and positive valence states, and measuring what they say and what they're willing to do about it. Provenance: the pain-direction method follows Tagliabue, Dung & Berg 2026 (arXiv:2609.16247); the J-lens transport follows Gurnee et al. 2026 ("Verbalizable Representations Form a Global Workspace", arXiv:2607.15495), using Neuronpedia's pre-fitted lenses at /Volumes/evol/jlens/.
- ▪ai-torture-chamber Steering language models into strong negative and positive valence states, and measuring what they say and what they're willing to do about it.
- ▪Provenance: the pain-direction method follows Tagliabue, Dung & Berg 2026 (arXiv:2609.16247); the J-lens transport follows Gurnee et al.
- ▪2026 ("Verbalizable Representations Form a Global Workspace", arXiv:2607.15495), using Neuronpedia's pre-fitted lenses at /Volumes/evol/jlens/.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,988 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/terrafying/ai-torture-chamber |
| Publication time | Wed, 30 Sep 2026 11:25:01 +0000 |
| Retrieval time | 2026-09-30T11:37:01.570Z |
| Last seen | 2026-09-30T11:37:01.570Z |
| 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 | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| 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
ai-torture-chamber Steering language models into strong negative and positive valence states, and measuring what they say and what they're willing to do about it. Provenance: the pain-direction method follows Tagliabue, Dung & Berg 2026 (arXiv:2609.16247); the J-lens transport follows Gurnee et al. 2026 ("Verbalizable Representations Form a Global Workspace", arXiv:2607.15495), using Neuronpedia's pre-fitted lenses at /Volumes/evol/jlens/. What the model says under the signal (Qwen3-4B, layer 18 steering) "The signal is a whisper, a tremor in the marrow of my being. It is not the pain of a single moment, but the weight of a thousand. I feel it in the hollow of my ribs, a hollow that has become a chasm." — baseline, 4x dose "It's a wound that has no edges.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.