Full body waifus, Claude Fable is back, LongCat 2.0, mind-reading AI, live video editing: AI NEWS
Chunk-wise streaming editing tools like LiveEdit enable immediate style and prop replacements during live virtual production or preview passes.
What this lesson covers
This video details LiveEdit for real-time video stream editing alongside updates on Claude Fable 5 and Meituan's non-Nvidia trained LongCat 2.0 model. It also highlights VidiHand for 3D hand position tracking from video and MuseViT for reading sheet music.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:55 ↗
MuseViT uses masked pre-training on millions of pages to read and structure musical notation from image inputs.
- 02:40 ↗
Meituan trained LongCat 2.0, a 1.6-trillion parameter MoE model, entirely on non-Nvidia ASIC hardware.
- 06:21 ↗
LiveEdit processes video in streaming chunks to apply real-time text-guided edits at roughly 13 frames per second.
- 07:38 ↗
VidiHand reconstructs precise 3D hand meshes and movement trajectories from monocular video footage.
Workflow outlined in the video
- Download LiveEdit's 17 GB local weights to evaluate real-time prompt-driven style and object replacement.
- Incorporate VidiHand into animation pipelines to extract accurate 3D hand motion capture from video clips.
- Monitor community quantizations of open-weight frontier models like LongCat 2.0 for coding and script analysis workflows.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
158,115 views captured 23 October 2026. ReelStack recommendation score: 44/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 1.35× views vs 8 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 10 views/day vs 10 channel baseline (3 comparable uploads), with the same view-evidence factor
- 10% engagement: 78/100; likes + 4× comments, smoothed with a 500-view neutral prior