World Model · podcast knowledge graph

Open models and the future of Physical AI with NVIDIA

2026-10-01 · 47 min · episode 374 · 10 entities

Asserted relationships

  • → hosted by Daniel Whitenack and Chris Benson person
    0.55
    evidence rules-v5
    Feed author/publisher: Daniel Whitenack and Chris Benson
  • → discusses Technology company
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    evidence rules-v5
    Feed category: Technology
  • → hosted by Practical AI LLC company
    0.40
    evidence rules-v5
    Feed author/publisher: Practical AI LLC
  • → references midwestaisummit.com website
    0.38
    evidence rules-v5
    Link in episode "Open models and the future of Physical AI with NVIDIA": https://midwestaisummit.com/

Entities found in this episode

companys 5

  • mentioned Practical AI LLC company
    0.70
    evidence rules-v5
    Feed author/publisher: Practical AI LLC
  • mentioned Technology company
    0.50
    evidence rules-v5
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
  • hosted by Practical AI LLC company
    0.40
    evidence rules-v5
    Feed author/publisher: Practical AI LLC
  • mentioned NVIDIA company
    0.35
    evidence rules-v5
    NVIDIA

persons 2

websites 2

  • mentioned midwestaisummit.com website
    0.45
    evidence rules-v5
    Link in episode "Open models and the future of Physical AI with NVIDIA": https://midwestaisummit.com/
  • references midwestaisummit.com website
    0.38
    evidence rules-v5
    Link in episode "Open models and the future of Physical AI with NVIDIA": https://midwestaisummit.com/

concepts 1

Episode description as stored
As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, world models, and the future of physical AI. They explore why open models matter for innovation, how world models can help AI understand and simulate the physical world, and what it could take to build increasingly capable physical AI systems. Featuring:  Ming-Yu Liu – LinkedIn Daniel Whitenack – Website , GitHub , X Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Links: NVIDIA Cosmos Sponsors: Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#tickets Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Resources and Events: Register for upcoming webinars here ! Prior Webinars from our partner Prediction Guard Midwest AI Summit 2026