Selendis launches video foundation model Archon, which can complete editing zero-shot and continuously learn according to creator preferences
Selendis launches video foundation model Archon, which can zero-shot edit raw footage into a finished video and continuously learn each creator's editing preferences during use. Preference signals come from three sources: the creator's operational decisions in the Selendis multiplayer editor, their past video works, and the reference videos they cite. Selendis says that with every video edited, the editor becomes more accurate for that creator or team.
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Selendis's Archon treats creators' choices in the editor, past works, and reference videos as learnable preference signals, demonstrating a path for video editing tools to shift from prompts to behavior learning.
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View original postIntroducing 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. https://t.co/P2vkDbuLFm
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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. https://t.co/P2vkDbuLFm
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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.