Show HN: How Stale Is Your AI? Release age and training cutoff for 20 models
Data checked 2026-09-10 How stale is your AI? Release age and training cutoff for 20 models Two dates decide how current an AI model really is. The training cutoff is when it stopped reading.
- ▪Data checked 2026-09-10 How stale is your AI?
- ▪Release age and training cutoff for 20 models Two dates decide how current an AI model really is.
- ▪The training cutoff is when it stopped reading.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,160 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 | How Stale Is Your AI? |
| Canonical URL | https://stale.jock.pl/ |
| Publication time | Wed, 16 Sep 2026 13:01:52 +0000 |
| Retrieval time | 2026-09-16T13:08:41.503Z |
| Last seen | 2026-09-16T13:08:41.503Z |
| 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 | g2Txp8wEWSB_ · 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
How stale is your AI? Data checked 2026-09-10 How stale is your AI? Release age and training cutoff for 20 models Two dates decide how current an AI model really is. The release date is when the lab shipped it. The training cutoff is when it stopped reading. This page holds both for 20 current models across 8 labs, and counts upward from each one live. 9 of 20 models have a cutoff their lab actually publishes. The live version of this page needs JavaScript for the counters. The dates themselves are below, and the same data is available as models.json. The shelf: release date and training cutoff, stalest first Every model name links to the lab document the date came from.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at How Stale Is Your AI?.
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