AI Coding Live News

DeepSeek Harness Launches Creator Mode: Describe a Plugin in Chat and the Agent Builds It, With 7 Official Demo Prompts

DeepSeek Harness, DeepSeek's open-source, MIT-licensed agent app, announced Creator Mode on its official X account on November 2: users describe the plugin they want in plain language, and the agent turns it into a plugin they can use. Demos include a 3D landmark gallery, a 3D Transformer visualizer, a video editing workbench and a paper reader. DeepSeek also published seven bilingual demo prompts on cdn.deepseek.com, cautioning that some plugins took several rounds of conversation, so a single prompt may not reproduce the video exactly. The post drew about 20,000 likes and 1.69 million views. No benchmarks were published.

DeepSeek Harness Launches Creator Mode: Describe a Plugin in Chat and the Agent Builds It, With 7 Official Demo Prompts

Key Takeaways

  • Creator Mode: describe the plugin you want in natural language and the agent turns it into a usable plugin, from a design workspace to a sandbox game or a 3D LLM visualizer.
  • DeepSeek published 7 demo prompts: a 3D landmark gallery, a 3D Transformer demo, a five-style app theme switcher, a poster workbench, a video editor, a paper reader and a token-usage statistics plugin.
  • The entry point shipped in v0.2.1-rc.5 (Oct 30 pre-release): plugin management gained a "Let Agent create a plugin" button that opens Creator mode and keeps the draft.
  • The GitHub repo has about 270,000 stars under the MIT license; Harness is still in preview.
  • No benchmarks or success rates were published; the announcement drew about 20,000 likes and 1.69 million views.
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CapCut announces a ChatGPT plugin is coming soon, bringing its video generation and editing tools inside ChatGPT with drafts that move to the CapCut web editor

At 18:34 UTC on 2026-10-24, during its CapCut World event in Los Angeles, ByteDance's CapCut announced from its official account (@capcutapp) that a new CapCut plugin is coming soon to ChatGPT (post). According to CapCut, the plugin brings its video editing and generation tools inside ChatGPT: users can start with an idea in ChatGPT, create it with the plugin right in the chat, then move the draft to the CapCut web editor to refine and publish. When we pulled it, the post had about 3,646 likes, 319 reposts, 504 replies and 450K views. The event site lists OpenAI's Head of Partnerships Mahak Sharma and Head of Creator Product Sam Yam as speakers. Many creator posts on X say the plugin is already in early access on ChatGPT desktop with mobile and web around mid-November, but CapCut's own post still says coming soon, so timing and pricing should be taken from CapCut's later announcements.

Key Takeaways

  • Official source: CapCut's post on X, published 18:34 UTC on 10-24, with about 3,646 likes, 319 reposts, 216 quotes, 504 replies and 450K views when we pulled it
  • What it does: CapCut's video editing and generation tools inside ChatGPT, so a chat idea can become a video draft directly
  • Workflow: drafts made with the plugin can move to the CapCut web editor for further editing, sharing and publishing
  • OpenAI involvement: the CapCut World Los Angeles site lists OpenAI's Mahak Sharma (Head of Partnerships) and Sam Yam (Head of Creator Product) as speakers
  • Status: CapCut says coming soon; creator claims of desktop early access now and mobile and web in mid-November are not confirmed by CapCut, and pricing is not announced
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Adobe & Brown University Release OmniXRef: Unified Multi-Reference Video Editing Slashing Camera Trajectory Error by 5x

Adobe Research and Brown University released OmniXRef (arXiv:2610.22744), a unified framework for multimodal multi-reference video editing. Overcoming the limitations of prior systems constrained to text prompts or single visual exemplars, OmniXRef utilizes a single-stream Diffusion Transformer with Mix-Patchify and Reference-Relative RoPE (R2-RoPE) to jointly control camera motion, subject content, dynamic motion, style, and visual effects (VFX). In camera trajectory evaluations, OmniXRef cuts rotation and translation errors by more than 5x compared to leading commercial engines.

Adobe & Brown University Release OmniXRef: Unified Multi-Reference Video Editing Slashing Camera Trajectory Error by 5x

Key Takeaways

  • Adobe Research and Brown University released OmniXRef (arXiv:2610.22744), a unified framework for multi-reference video editing across text, images, and videos
  • Features a single-stream Diffusion Transformer with Mix-Patchify and R2-RoPE for multimodal cross-attention
  • Cuts camera trajectory error by more than 5x over commercial flagship Seedance 2.5, recording 0.874 RotErr and 3.961 TransErr
  • Achieves modular control across Camera, Motion, Content, Style, and VFX with an interactive project page now live
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Video Use open-sources folder-drop video editing driven by Claude Code

@nicos_ai highlights Video Use (github.com/browser-use/video-use): an open-source pipeline for Claude Code that turns a folder of raw footage into cuts, filler-word removal, captions, color/filters, animations, and a final render—less timeline editing by hand, more agent-driven finishing.

Key Takeaways

  • Drop raw footage in a folder to start the pipeline—no timeline-first setup.
  • Covers cutting, filler-word removal, captions, grading, and final render.
  • Open-source at browser-use/video-use for Claude Code workflows.
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