Zet, a layer on Jev and Laya that knows when the AI is guessing
Zet / open-source Python Zet sends uncertain Laya answers to human review. Zet adds a sure or unsure decision to Laya's answers about text. It uses examples with known correct answers to decide which future answers can be used automatically and which should be checked by a person.
- ▪Zet / open-source Python Zet sends uncertain Laya answers to human review.
- ▪Zet adds a sure or unsure decision to Laya's answers about text.
- ▪It uses examples with known correct answers to decide which future answers can be used automatically and which should be checked by a person.
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 | Zet |
| Canonical URL | https://yoosseph.github.io/Zet/ |
| Publication time | Wed, 30 Sep 2026 11:46:56 +0000 |
| Retrieval time | 2026-09-30T11:57:01.529Z |
| Last seen | 2026-09-30T11:57:01.529Z |
| 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 | IUmUAOxIOID3 · 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
Zet / open-source Python Zet sends uncertain Laya answers to human review. Zet adds a sure or unsure decision to Laya's answers about text. It uses examples with known correct answers to decide which future answers can be used automatically and which should be checked by a person. View the Zet repository on GitHub → Runs locally · Python 3.10+ · Apache 2.0 What we measured On 350 human-labeled voice-assistant requests with six possible topics, Laya alone gave 45 wrong answers. Zet sent 41 of those mistakes to review while accepting 227 answers automatically. Four wrong answers still went through. Zet sent 123 answers to review in total, including 82 that Laya had right. No person performed those reviews in this test.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Zet.
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