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Selendis's Archon video model learns creator taste from editing behavior

AISelendis has introduced Archon, a video foundation model that turns raw footage into a finished edit zero-shot and keeps learning each creator's cutting style. The taste signal comes from accept and reject decisions in Selendis's multiplayer editor, a creator's past video catalogue, and reference videos the creator cites.
Rohan PaulVerified on X
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Creative tools are starting to learn taste from behaviour instead of from prompts.

Archon, the video foundation model from @SelendisAI, takes raw footage and returns a finished edit zero-shot, then keeps learning how a specific creator likes to cut.

The taste signal comes from three places:

  • decisions made inside Selendis’s multiplayer editor
  • the creator’s past video catalogue
  • reference videos the creator cites

i.e. Archon treats taste as a learnable per-user prior, conditioned on a creator’s back catalogue, cited reference videos and accept/reject decisions inside the editor.

Selendis@SelendisAI
Introducing Archon, a video foundation model that zero-shots raw footage into finished edit in minutes. Built by Steve Aoki and industry experts for the next generation of content. Archon powers personal AI video editors that learn each creator’s taste from: - Decisions made in our multiplayer editor - Their past video catalogue - Reference videos they cite Every video edited makes the editor more accurate for that creator or team. Comment "SELENDIS" for early access + 3 months free. http://selendis.com
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Rohan Paul · x.comPublished

Original title: Creative tools are starting to learn taste from behaviour instead of from prompts.

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