Notes by ReelStack · AI-assistedUpdated 23 October 2026

Kimi K3, dancing waifus, robot UFC, song to MIDI, GPT Red, hoverboards: AI NEWS

Local mobile video generation and real-time open-source 3D motion control drastically streamline mobile pre-visualization and audio track dissection for indie creators.

Video thumbnail: Kimi K3, dancing waifus, robot UFC, song to MIDI, GPT Red, hoverboards: AI NEWS
Original YouTube video

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What this lesson covers

This video highlights major open-source AI breakthroughs, focusing on real-time 3D animation, mobile video generation, and audio extraction. Key featured tools include NVIDIA ARDY for motion control, MobileWAN for local smartphone video generation, PID v1.5 for image upscaling, and Mirelo Audio to MIDI.

Key takeaways from the creator

AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.

  1. 01:04 ↗

    NVIDIA ARDY generates real-time 3D human animations from text prompts or keypoints and can directly drive humanoid robot movements.

  2. 02:51 ↗

    MobileWAN optimizes Alibaba's WAN model to generate 5-second 480p videos locally on a smartphone in roughly 20 seconds.

  3. 04:30 ↗

    PID v1.5 upscales low-res latent images to 2K in seconds while offering superior detail and color fidelity over v1.0.

  4. 05:44 ↗

    Mirelo Audio to MIDI separates full audio mixes into distinct MIDI stems for individual instruments and vocals.

Workflow outlined in the video

  1. Download the MobileWAN weights from Hugging Face to experiment with local mobile video generation.
  2. Implement PID v1.5 in your image workflow for ultra-fast local upscaling of generated stills.
  3. Upload scratch audio to Mirelo Audio to MIDI to isolate musical notes for scoring and sound design customization.

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

103,048 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: 0.68× views vs 13 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
  • 25% freshness: 1/100 with a 14-day half-life
  • 20% momentum: 5 views/day vs 11 channel baseline (5 comparable uploads), with the same view-evidence factor
  • 10% engagement: 98/100; likes + 4× comments, smoothed with a 500-view neutral prior

Read our methodology and limitations →

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