Selendis 推出视频基础模型 Archon，可零样本完成剪辑并按创作者偏好持续学习
Creative tools are starting to learn taste from behaviour instead of from prompts.
Selendis 推出视频基础模型 Archon，可零样本把原始素材剪成成片，并在使用中持续学习每位创作者的剪辑偏好。偏好信号来自三处：创作者在 Selendis 多人编辑器中的操作决定、其过往视频作品，以及其引用的参考视频。Selendis 称每剪辑一次视频，编辑器对该创作者或团队的适配就更准确。
推荐理由
AI 评分 60
Selendis 的 Archon 把创作者在编辑器里的取舍、历史作品和参考视频当作可学习的偏好信号，展示了视频剪辑工具从提示词转向行为学习的一条路径。
主题
查看原帖隆重推出 Archon，一款视频基础模型，可在几分钟内零样本将原始素材剪辑为成片。 由 Steve Aoki 与行业专家为下一代内容打造。 Archon 为个人 AI 视频编辑器提供支持，从以下方面学习每位创作者的品味： - 在我们的多人编辑器中做出的决定 - 他们过往的视频作品集 - 他们引用的参考视频 每剪辑一个视频，编辑器对该创作者或团队就更准确。 评论“SELENDIS”获取抢先体验 + 3 个月免费。 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
正文
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.