AI maps, realtime 3D worlds, multi-shot videos, new TTS, new anime model: AI NEWS
Advances in real-time 3D world generation and advanced video segmentation lower the barrier for indie creators building custom visual effects and virtual sets.
What this lesson covers
This AI news roundup covers emerging open-source models, interactive 3D world generators, and video processing tools. Highlights include Matt Anyone 2 for precise video segmentation and InSpace World FM for real-time 3D world generation on consumer hardware.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:52 ↗
Matt Anyone 2 allows creators to separate people from backgrounds cleanly with a lightweight 140MB model.
- 03:48 ↗
RL3DEdit enables editing of 3D scenes using text prompts for tasks like style transfers and object addition.
- 05:16 ↗
InSpace World FM generates interactive 3D worlds from photos or text prompts in real time on a consumer RTX 4090 GPU.
Workflow outlined in the video
- Download Matt Anyone 2 from its GitHub repository or test it on Hugging Face for video matting tasks.
- Explore RL3DEdit to test text-based 3D scene editing.
- Test InSpace World FM for real-time environment creation using consumer GPUs.
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.
Put the lesson in context
When to use Blender previsualization for AI video →How to interpret the numbers
104,431 views captured 23 October 2026. ReelStack recommendation score: 34/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.98× views vs 14 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: 3 views/day vs 13 channel baseline (8 comparable uploads), with the same view-evidence factor
- 10% engagement: 86/100; likes + 4× comments, smoothed with a 500-view neutral prior