What if the next leap in AI is not smarter text, but machines that can act in the physical world? In this condensed version of the full Possible Podcast episode, Reid Hoffman talks with Cadi Z about artificial intelligence, robotics, embodied intelligence, and the stubborn data problems holding real-world robots back. Compared with the full-length conversation, this summary gives you the key ideas in minutes: why most robots still lack scalable training data, why safety and form factor matter, and why humanoids may not be the answer. Cadi also shares how her background in game design, Unity, VR, haptics, and AI shapes her view of world models, teleoperation, and prompt-to-world tools like Project Genie. Along the way, Reid and Cadi explore how AI can supercharge creative work while still missing human judgment around what is actually fun. Listen now to get the key ideas in minutes.
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