Jev-serve: Run latest qwen3.8 mlx, other frozen LLM models
jev-serve Typed probabilistic decisions from any LLM. No text generation. jev-serve exposes a /v1/systemone endpoint that scores structured decisions via first-token logit readout — the same approach openjev.com uses in the browser, running server-side on any MLX model or OpenAI-compatible API. The decoder generates tokens one by one until EOS, then parses JSON.
- ▪jev-serve Typed probabilistic decisions from any LLM.
- ▪No text generation. jev-serve exposes a /v1/systemone endpoint that scores structured decisions via first-token logit readout — the same approach openjev.com uses in the browser, running server-side on any MLX model or OpenAI-compatible API
- ▪The decoder generates tokens one by one until EOS, then parses JSON.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,109 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/rreinold/jev-serve |
| Publication time | Wed, 23 Sep 2026 11:51:35 +0000 |
| Retrieval time | 2026-09-23T11:54:30.665Z |
| Last seen | 2026-09-23T11:54:30.665Z |
| 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 | Pfkg5qJrjGHD · 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
jev-serve Typed probabilistic decisions from any LLM. No text generation. jev-serve exposes a /v1/systemone endpoint that scores structured decisions via first-token logit readout — the same approach openjev.com uses in the browser, running server-side on any MLX model or OpenAI-compatible API. 34× faster than structured JSON generation (0.23s vs 7.80s per decision) Full probability distributions — not a point estimate, a calibrated p per option Three question types: choice (pick one), noul (0–1 probability), score (ordinal level) Two backends: direct MLX inference or any OpenAI-compatible API (ollama, etc.) Apache 2.0 — derived from kev by Jared Palmer Install # MLX backend (Apple Silicon) uv pip install -e ".[mlx]" # OpenAI-compatible API backend uv pip install -e ".[api]" Start # MLX —…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.