Nvidia pushes AI beyond the screen

How Nvidia plans to power the next generation of robots

Author

Lex Sokolin
August 12, 2025

In partnership with:


Hi AI Futurists,

Nvidia launched Cosmos, a suite of “world models” for AI systems that operate in the physical world, integrated with Omniverse for simulation, training, and deployment. Target markets include robotics, manufacturing, and autonomous systems, with an emphasis on multimodal real-time decision-making. Let’s take a look.

Here’s our agenda.

  • Our Sponsor: CodeRabbit

  • Top AI news

  • Nvidia launches Cosmos Reason

  • Top 3 selected AI tools

  • AI in the wild

Best,
Lex Sokolin

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Nvidia pushes AI beyond the screen

Nvidia has announced Cosmos Reason, a family of “world models” designed to help AI understand and interact with the physical world — a step aimed squarely at robotics, autonomous systems, and real-world automation. Built to process multimodal inputs like video, audio, and sensor data, Cosmos is intended to serve as a foundational model for AI that can navigate and make decisions in real time. According to Nvidia CEO Jensen Huang, “The next wave of AI will be embodied — not just seeing and hearing, but doing.”

These models are part of a broader infrastructure update that includes simulation environments, digital twin tools, and APIs optimized for training physical AI systems. Nvidia is positioning Cosmos as a core building block for developers creating industrial robots, self-driving machines, and AI-powered manufacturing. By integrating it into their Omniverse simulation platform, the company aims to give developers a complete loop: simulate, train, deploy, and adapt.

The move comes as competitors like Tesla’s Optimus and Boston Dynamics push their own embodied AI projects. If Cosmos works as advertised, it could accelerate deployment cycles from years to months. This shift — from virtual chatbots to physical, decision-making machines — reflects a broader truth: once technology leaves the screen and enters the world, every mistake has a cost, and every improvement has an immediate, tangible payoff.

Takeaways at a Glance:

  • Cosmos processes multimodal data (video, audio, sensor) for physical AI tasks

  • Tightly integrated with Nvidia Omniverse for simulation and digital twins

  • Designed to speed robotics development cycles from years to months

  • Nvidia aiming at industrial automation, autonomous vehicles, and robotics

  • Competes with Tesla, Boston Dynamics, and other embodied AI players

What We Think About It:

  • This is a major infrastructure play — Nvidia isn’t just making models, they’re creating an end-to-end ecosystem for embodied AI. The focus on simulation-to-deployment loops will be appealing to startups who need faster iteration without expensive real-world testing. Expect Cosmos to become a default choice in robotics prototyping, similar to how CUDA became a staple in AI training.

What You Can Do Right Now:

  • If you’re building physical AI, start exploring simulation-first development to reduce cost and risk. Keep an eye on Nvidia’s API releases — early integration could position your product ahead of competitors when Cosmos matures.

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AI in the wild

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