Spanda: Sub-microsecond LLM epistemic uncertainty in Rust
We built an open-source sub-microsecond Rust engine and gateway for LLM epistemic uncertainty quantification and hallucination gating:Repo: https://github.com/Adarshent/Spnda Python SDK: pip install spndaWhy we built this: Semantic Entropy (Nature 2024) is great at detecting…
- ▪We built an open-source sub-microsecond Rust engine and gateway for LLM epistemic uncertainty quantification and hallucination gating:Repo: https://github.com/Adarshent/Spnda Python SDK: pip install spndaWhy we built this: Semantic Entropy
2 outlets in our directory ran this story, first to last over 3 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,494 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 | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=49663329 |
| Publication time | Fri, 11 Sep 2026 18:48:16 +0000 |
| Retrieval time | 2026-09-11T18:58:35.070Z |
| Last seen | 2026-09-11T18:58:35.070Z |
| 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 | LNdzMYfhx3pf · 2 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
We built an open-source sub-microsecond Rust engine and gateway for LLM epistemic uncertainty quantification and hallucination gating:Repo: https://github.com/Adarshent/Spnda Python SDK: pip install spndaWhy we built this: Semantic Entropy (Nature 2024) is great at detecting hallucinations, but the quadratic NLI cross-encoder bottleneck (90ms GPU overhead with DeBERTa) makes it unusable for real-time production serving.We found that exact-match normalized entropy (R_sc) achieves the same discriminative AUROC on structured reasoning (GSM8K) while running in under 1 microsecond on CPU (760 nanoseconds).Benchmarking against Python proxies: - Kernel latency: 760 ns (Rust) vs 15 ms (Python) - Memory RSS: ~3 MB vs 230 MB - Cold start: 3.6 ms vs 1.17 sHappy to answer any questions about the Rust…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.