These AI Experts Want to Do High-Stakes Research Out in the Open
Will KnightBusinessOct 2, 2026 12:00 PMThese AI Experts Want to Do High-Stakes Research Out in the OpenMany frontier labs keep their risky research locked away. If only a chosen few can access them, the thinking goes, they can do less damage in the real world while researchers try to understand what they’re capable of.Nathan Lambert and Tom Zick, two industry scientists, believe the opposite. The pair founded a nonprofit, Trillium Labs, that will work on various areas of AI research—including potentially problematic areas like recursive self-improvement (RSI) and agents—in a more transparent way.
- ▪Will KnightBusinessOct 2, 2026 12:00 PMThese AI Experts Want to Do High-Stakes Research Out in the OpenMany frontier labs keep their risky research locked away.
- ▪If only a chosen few can access them, the thinking goes, they can do less damage in the real world while researchers try to understand what they’re capable of.Nathan Lambert and Tom Zick, two industry scientists, believe the opposite.
- ▪The pair founded a nonprofit, Trillium Labs, that will work on various areas of AI research—including potentially problematic areas like recursive self-improvement (RSI) and agents—in a more transparent way.
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| Original publisher | WIRED |
| Canonical URL | https://www.wired.com/story/trillium-labs-wants-to-do-high-risk-ai-research-in-the-open/ |
| Publication time | Fri, 02 Oct 2026 16:00:00 +0000 |
| Retrieval time | 2026-10-02T16:22:21.261Z |
| Last seen | 2026-10-02T16:22:21.261Z |
| 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 | vTpZZwJK3PZG · 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 |
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| 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
Will KnightBusinessOct 2, 2026 12:00 PMThese AI Experts Want to Do High-Stakes Research Out in the OpenMany frontier labs keep their risky research locked away. Trillium Labs wants to show off its work when it comes to self-improvement and model behavior.Photo-Illustration: WIRED Staff; Getty ImagesCommentLoaderSave StorySave this storyCommentLoaderSave StorySave this storySome big AI companies seem to think that the best way to keep models from becoming too chaotic or too mischievous is to keep them locked inside of labs. If only a chosen few can access them, the thinking goes, they can do less damage in the real world while researchers try to understand what they’re capable of.Nathan Lambert and Tom Zick, two industry scientists, believe the opposite.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at WIRED.
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