AI Summary
5 min readThe host opens with a statistic that frames the entire conversation: 80% of global GDP is still grounded in physical industries. The episode brings together three founders building at different layers of the physical AI stack — a world model startup (Odyssey), a construction automation company (Bedrock Robotics), and a space robotics company (Icarus Robotics) — to explore how quickly AI is moving into the real world, which model architectures are best suited for the job, and what the economics of embodied intelligence actually look like.
The vibe gap between AI insiders and everyone else
There is a striking disconnect between the enthusiasm inside the AI industry and the skepticism outside it. Bedrock's Boris Softman says the underlying excitement is real because "you could do things with physical AI that were just infeasible five years ago," but acknowledges a "noisiness" in the messaging. Odyssey's Jeff Hawk, based in London, reports that sentiment in the AI research epicenter remains "very strong and quite bullish," especially around world models and recursive AI development. But Icarus's Ethan Barajas offers a grounded perspective from outside the bubble: "When you interact with other people outside of this tech sphere, it's way more polarizing than you would actually think." He describes having to explain what physical AI even means to people who only know LLMs, and n
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What you'll learn
- 1 (00:48) **Episode intro and guest introductions** - Hosts introduce the three CEOs/CTOs and their companies focused on physical AI applications
- 2 (02:17) **Public sentiment shift on AI** - Discussion of cooling market vibes versus continued internal industry excitement
- 3 (03:36) **Regional and demographic differences in AI perception** - London vs US views plus Gen Z versus industry bubble perspectives
- 4 (06:49) **Digital AI versus physical AI differences** - Boris contrasts infinite internet data for LLMs with hardware/sensor constraints in robotics
- 5 (08:36) **Self-driving scaling challenges and world models** - Recent Waymo/Tesla incidents prompt debate on generality and long-tail problems
- 6 (11:28) **Defining world models** - Jeff explains causal multimodal systems that predict future states over long horizons
- 7 (13:15) **World models as video-game-style simulators** - Applicability to both robotics and gaming discussed
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Show Notes
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*When we think of “Physical AI,” most of us conjure images of humanoid robots and self-driving cars. But there’s a lot more to the category than just breakdancing Chinese bots and Waymos, from excavators autonomously digging tomorrows worksites, to a robot the size of four pizza boxes deploying to the ISS.
Guest host Alex Wilhelm sits down with three founders in the trenches of the Physical AI Space:
Boris Sofman of Bedrock Robotics, which builds autonomous construction equipment
Jeff Hawke of Odyssey, a frontier AI lab specializing in world models for robotics and video games
Ethan Barajas of Icarus Robotics, designers of the free-flying Joy robot that will join the ISS crew in 2027
Guests:
Boris Sofman on X: https://x.com/bsofman
Bedrock Robotics: https://bedrockrobotics.com/
Jeff Hawke on X: https://x.com/jeffrey_hawke
Odyssey: https://odyssey.ml/
Ethan Barajas on X: https://x.com/ethanbarajas11
Icarus Robotics: https://www.icarusrobotics.com/
Relevant Links
Bedrock Excavators Remove 65,000 Cubic Yards of Dirt: https://www.enr.com/articles/61982-bedrock-robotics-excavators-remove-65-000-cubic-yards-of-dirt-on-southwest-project
Odyssey $310M Series B article: https://techcrunch.com/2026/06/17/world-model-maker-odyssey-nabs-1-45b-valuation-backed-by-amazon-and-other-big-names/
Icarus “Joyride” Mission announcement: https://thedebrief.org/icarus-is-building-the-robotic-labor-force-for-space-voyager-technologies-is-sending-a-next-generation-zero-gravity-robot-on-a-joyride-to-space/
PROWL: Prioritized Regret-Driven Optimization for World Model Learning: https:
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