Show HN: Is your AI hallucinating? The big labs won't tell you but we will
10 August 2026Is Your AI Hallucinating?We ship an API that returns a hallucination score for every token that a frontier language model generates. Before describing how it works, here is the most important thing about it: the percentage score that we return is not actually the probability that the token is wrong. The obvious problem is that frontier models do not expose the hidden states that we would need to probe to reveal their thoughts.
- ▪10 August 2026Is Your AI Hallucinating?We ship an API that returns a hallucination score for every token that a frontier language model generates.
- ▪Before describing how it works, here is the most important thing about it: the percentage score that we return is not actually the probability that the token is wrong.
- ▪The obvious problem is that frontier models do not expose the hidden states that we would need to probe to reveal their thoughts.
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Story provenance
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Record
| Original publisher | Telluvian |
| Canonical URL | https://www.telluvian.ai/blog/is-your-ai-hallucinating |
| Publication time | Mon, 10 Aug 2026 16:36:49 +0000 |
| Retrieval time | 2026-08-10T16:50:47.449Z |
| Last seen | 2026-08-10T16:50:47.449Z |
| 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 | 2s7DML9yZAU5 · 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
10 August 2026Is Your AI Hallucinating?We ship an API that returns a hallucination score for every token that a frontier language model generates. Before describing how it works, here is the most important thing about it: the percentage score that we return is not actually the probability that the token is wrong. The obvious problem is that frontier models do not expose the hidden states that we would need to probe to reveal their thoughts. Hmmm... You cannot probe GPT or Claude. Their APIs return only text. There is no layer to read, no residual stream to inspect, and no amount of prompting changes that. Every technique in this space has to route around the same wall. Our answer is a white-box proxy model.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Telluvian.
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