Greetings Team, The godmother of modern AI says LLMs have hit the ceiling; more text and images won’t unlock the next leap. Fei-Fei Li and Yann LeCun, who just parted ways with Meta, are now betting on the next frontier, “spatial intelligence,” the ability for AI to understand and operate in the real world. Automakers are paying attention too. Tesla, Xpeng, Hyundai, and others are pivoting from cars to humanoid robots, signaling a shift toward a robotic, spatially aware future. Today, we break down what’s happening, why it matters, and the tools shaping this new wave of AI. Stay curious.
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Why Car Companies Are Becoming Robotics Companies?
Carmakers are racing to build humanoid robots, turning the auto industry into a robotics industry.
How are China's Automakers and Tech Giants responding?China’s automakers and tech giants are racing into humanoid robotics just as aggressively as Tesla, often faster.
China also installs over 50% of all industrial robots globally, giving it a major data and scale advantage. With cheaper components and huge EV supply chains, Chinese companies may mass-produce humanoid robots years sooner and far cheaper than the U.S. and Europe. One small AI shift can 10× your results
Big breakthroughs rarely come from doing more. That’s what the AI Edge Digital Summit (Nov 18–20) is all about—discovering the smartest ways to use AI so you can: It’s not about becoming an “AI expert.”
Will Spatial Intelligence Save AI?
AI has mastered language. The next race is mastering space, which is teaching models to understand the physical world so they can power robots, autonomous vehicles, AR, and real-world automation. We live in a real world and start learning it as soon as we are born. That is how we walk around walls and into and out of places without hitting walls, and how we learn how to drive, by mastering our surroundings and improving our spatial intelligence. Now, LLMs need to master this to get AI models to the next level, and Fei-Fei Li and Yann LeCun, who are the pioneers of the technology, are ready to provide the tools to teach AI to master our surroundings. Why Spatial Intelligence MattersToday’s LLMs are fluent but “blind.” They don’t understand objects, physics, depth, or how a scene changes over time. Spatial intelligence fixes that. Models learn to:
This is the missing piece for autonomous cars, warehouse robots, home robots, AR glasses, and industrial digital twins. Fei-Fei Li: Turning Images Into 3D WorldsFei-Fei Li (creator of ImageNet) is now building the 3D foundation AI models need. Her new company, World Labs, has raised over $230M to create massive 3D training environments for AI. Their flagship product: Marble
This is essentially ImageNet for 3D actions, powering the next generation of embodied AI. It will teach robots and AV to navigate environments a lot better, and with access to trillions of data sets to teach them faster, something unimaginable in the real world. Yann LeCun is Building the Brain for the Physical WorldMeta’s former Chief AI Scientist, Yann LeCun, is leaving to launch a startup focused on world-model AI systems that can predict the future state of the world. His thesis:
LeCun is building the cognition layer that will sit inside robots, vehicles, and smart devices. Why This Is the Future of AIThis shift is driven by massive market pull:
Spatial intelligence is basically AI that can operate in the real world, not just on screens. We’re moving from chatbots that talk about the world to AI systems that can see, navigate, and manipulate the world. Fei-Fei Li is building the world, Yann LeCun is building the brains, and companies are building the hardware and software that will need Fei-fei and Yann’s creation to train and operate successfully. This is the shift that will power the next trillion-dollar platforms.
Get practical tool reviews, strategic frameworks, and actionable workflows that actually move the needle. Skip the AI hype. 📚 AI Learning ResourceSpatial Intelligence
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Tuesday, November 18, 2025
🧭Will Spatial Intelligence Save AI?
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