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Home/Models & Labs
Models & Labs

Skild AI Uses Video to Teach Robots New Tasks

NVIDIA Blog·September 10, 2026·high confidence

Why it matters

  • →Skild AI's model reduces the need for constant retraining, saving time and resources.
  • →The collaboration with NVIDIA enhances the model's adaptability and deployment in real-world scenarios.
  • →This approach could transform industries by enabling robots to learn tasks quickly and efficiently.
Skild AI Uses Video to Teach Robots New Tasks
©NVIDIA Blog

Skild AI has introduced the S1 robot foundation model, which can learn new tasks from a single video demonstration, eliminating the need for retraining. This innovative approach, developed in collaboration with NVIDIA, uses in-context learning to enable robots to adapt to changing environments and perform complex tasks. The S1 model has shown significant improvements in task execution, with a success rate of 66% compared to 9% for similar systems. This advancement could revolutionize industries by allowing robots to quickly adapt to new tasks without extensive reprogramming.

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The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

Egocentric Video Data Fuels AI Training — WIRED AI1NVIDIA Advances Robotics with Simulation-to-Real Transfer — NVIDIA Blog2

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This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.

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Apple Intelligence arrives in China via iOS 27.3© The Verge AI
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Apple Intelligence arrives in China via iOS 27.3

NVIDIA Advances AI in Grasping and Autonomous Driving — NVIDIA Blog3MIT's Masked IRL Enhances Robot Task Understanding — MIT News AI4MIT's SceneSmith Enhances Robot Training with AI Agents — MIT News AI5Gemini Robotics 2 Enhances Robot Intelligence — Google DeepMind6Google DeepMind Launches Gemini Robotics ER 2 — Google DeepMind7Generalist AI's Robots Learn Tasks Instantly — WIRED AI8Skild AI Uses Video to Teach Robots New TasksLiquid AI opens d1 decision models for edge inference — Hugging Face Blog9ML-Intern: Autonomous AI Agent for Model Training — Hugging Face Blog10MIT: AI Robotics Hype Outpaces Physical Reality — MIT Technology Review AI11Maxinsights raises $30M for robot training data — Crunchbase News12Q3 Robotics Funding Hits $9.9B, Driven by US and China — Crunchbase News13May 26You are hereOct 27

How we got here

  1. 1
    Egocentric Video Data Fuels AI Training

    WIRED AI · May 26, 2026 · Related

  2. 2
    NVIDIA Advances Robotics with Simulation-to-Real Transfer

    NVIDIA Blog · May 28, 2026 · Related

  3. 3
    NVIDIA Advances AI in Grasping and Autonomous Driving

    NVIDIA Blog · June 3, 2026 · Related

  4. 4
    MIT's Masked IRL Enhances Robot Task Understanding

    MIT News AI · June 26, 2026 · Related

  5. 5
    MIT's SceneSmith Enhances Robot Training with AI Agents

    MIT News AI · July 13, 2026 · Related

  6. 6
    Gemini Robotics 2 Enhances Robot Intelligence

    Google DeepMind · July 28, 2026 · Related

  7. 7
    Google DeepMind Launches Gemini Robotics ER 2

    Google DeepMind · July 30, 2026 · Background

  8. 8
    Generalist AI's Robots Learn Tasks Instantly

    WIRED AI · August 19, 2026 · Related

What happened next

  1. 9
    Liquid AI opens d1 decision models for edge inference

    Hugging Face Blog · October 7, 2026 · Background

  2. 10
    ML-Intern: Autonomous AI Agent for Model Training

    Hugging Face Blog · October 8, 2026 · Background

  3. 11
    MIT: AI Robotics Hype Outpaces Physical Reality

    MIT Technology Review AI · October 8, 2026 · Background

  4. 12
    Maxinsights raises $30M for robot training data

    Crunchbase News · October 23, 2026 · Background

  5. 13
    Q3 Robotics Funding Hits $9.9B, Driven by US and China

    Crunchbase News · October 27, 2026 · Background

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Skild AI Unveils S1 Model for Task Learning

2 developments

  1. Sep 3 · Matt Wolfe
    Skild AI Unveils S1 Model for Task Learning
  2. Sep 10 · NVIDIA Blog
    Skild AI Uses Video to Teach Robots New Tasks (This article)

Apple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.

The Verge AI·Oct 30, 2026
Google Releases Gemini 4 Carbon for Cost-Efficient Inference© Matt Wolfe
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Google Releases Gemini 4 Carbon for Cost-Efficient Inference

Google launched Gemini 4 Carbon, a new model variant aimed at providing high performance at a lower cost for inference tasks.

Matt Wolfe·Oct 30, 2026