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For 9+ years we’ve been building simulators, data engines, data pipelines, scenario editors, RL environments, what's now world models... and dozens of other products. Now we’ve connected them all under one agentic layer. It is not just another harness but also the broader system to safely design, develop, and... deploy Physical AI. I continue to believe a modern, AI-first development environment is one of the biggest bottlenecks to putting intelligence on a billion machines. Unsurprisingly, we’ve been using it internally for a while now and the impact has been profound in almost every measurable way. As you might know, our old office was on the corner of Pioneer and Dana – and calling it Pioneer would be too cliche. Introducing Dana :)show more

Qasar Younis

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84,097 views • 17 days ago •via X (Twitter)

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A few months ago we set out to understand exactly how our models can be used to accelerate progress in robotics and other AI systems that don’t just represent the world, but are actually able to interact with it. We’ve been collaborating with leading companies in the space and we’ve developed an initial approach that we're now opening up to accelerate development across the industry. Our fifth announcement is GWM Robotics. GWM Robotics is a learned simulator that generates synthetic data for scalable robot training and policy evaluation, removing the bottlenecks of physical hardware.

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Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

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🧵02/34 Job-Loss and Emerging Capabilities --- Whenever we’ve built a machine to solve a specific problem … the machine outperformed humans every time … And that’s worked out great for us, vastly improved our lives and allowed us to use our muscles less and our brains more But AGI will be different. AGI stands for Artificial General Intelligence And being general means that it will be able to learn everything and outperform humans at every single job, even the ones that rely on using our brain It doesn’t exist today but it is just around the corner. Recently, progress has been exponential … And never before has the field of AI seen such sky-high levels of excitement and such ginormous vast amounts of investment. So far, frontier AI has existed mostly in cloud servers and interacted with the physical world via prompting online. But a new gold rush is currently exploding, in the sector of robotics. The knowhow for creating mechanical limbs and bodies has been here for decades. What was missing was an Artificial General mind to control them, and that is now within our grasp. Once AGI arrives, we should expect AGI bodies in the physical world to also arrive immediately. Microsoft researchers Famously claimed that GPT4, one of the latest models, has been exhibiting sparks of General intelligence. Just by scaling up the size of data and parameters, without any other major change or innovation, unexpected emerging capabilities and generality in unforeseen new domains manifested themselves that surprised everyone.

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Lethal Intelligence

906,152 views • 1 year ago

We talked to Carl Pei (Co-Founder & CEO Nothing) about the future of AI in smartphones. "The smartphone is one of the best devices for applied AI." "It has the distribution, but it also has the data." "I do believe that in the next 10 years we will all be carrying another sensor as well." "Sometimes the phone is in our pockets and we need another sensor to capture data for us."

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