OpenJDK Interim Policy on Generative AI
What are some tell-tale clues of content created by generative AI tools?Sometimes it is obvious, for example when a commit message in the personal fork from which a contributor initiates a pull request includes a Co-Authored-By trailer line that gives credit to a specific generative AI tool. Other times it is more subtle, for example when a contributor’s comments in a pull-request conversation or an e-mail message are in a chatty, verbose style inconsistent with their past writing. Other clues include highly structured comments with multiple headings, unnecessary comments in code, gratuitously defensive programming, and the use of emoji characters.Generative AI tools are evolving rapidly, so clues that are effective indicators today might not be effective indicators tomorrow.
- ▪What are some tell-tale clues of content created by generative AI tools?Sometimes it is obvious, for example when a commit message in the personal fork from which a contributor initiates a pull request includes a Co-Authored-By trailer line
- ▪Other times it is more subtle, for example when a contributor’s comments in a pull-request conversation or an e-mail message are in a chatty, verbose style inconsistent with their past writing.
- ▪Other clues include highly structured comments with multiple headings, unnecessary comments in code, gratuitously defensive programming, and the use of emoji characters.Generative AI tools are evolving rapidly, so clues that are effective i
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,899 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 | Openjdk |
| Canonical URL | https://openjdk.org/legal/ai |
| Publication time | Thu, 30 Jul 2026 12:36:38 +0000 |
| Retrieval time | 2026-07-30T12:49:31.100Z |
| Last seen | 2026-07-30T12:49:31.100Z |
| 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 | 0_JQj9PkWfS_ · 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
What are some tell-tale clues of content created by generative AI tools?Sometimes it is obvious, for example when a commit message in the personal fork from which a contributor initiates a pull request includes a Co-Authored-By trailer line that gives credit to a specific generative AI tool. Other times it is more subtle, for example when a contributor’s comments in a pull-request conversation or an e-mail message are in a chatty, verbose style inconsistent with their past writing. Other clues include highly structured comments with multiple headings, unnecessary comments in code, gratuitously defensive programming, and the use of emoji characters.Generative AI tools are evolving rapidly, so clues that are effective indicators today might not be effective indicators tomorrow.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Openjdk.
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