AIMF – An open file format specification for AI-native media
AIMF introduces an open file format specification designed for AI-native media. This system allows for the embedding of provenance metadata into existing media files while ensuring backward compatibility. Users can build all components or individual tools using provided commands.
- ▪AIMF is a verifiable AI media format system.
- ▪It embeds provenance metadata into existing media files.
- ▪The format remains backward compatible with current media standards.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,856 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/ai-mf/media-engine |
| Publication time | Fri, 22 May 2026 05:14:06 +0000 |
| Retrieval time | 2026-05-22T05:27:00.565Z |
| Last seen | 2026-05-22T05:27:00.565Z |
| 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 | CjpRpi_zkVDL |
| 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
// ai/README.md AI Media Engine A verifiable AI media format system that embeds provenance metadata into existing media files while remaining backward compatible. Quick Start # Build all components cargo build --release # Install CLI tools cargo install --path ai/tools/cli # Or build individual tools cargo build --bin aimg cargo build --bin aaud cargo build --bin avid
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.