AI has mastered language, sort of. But the real world is way messier.

In this episode of TechFirst, John Koetsier sits down with Kirin Sinha, founder and CEO of Illumix, to explore what comes after large language models: world models, spatial intelligence, and physical AI.

They unpack why LLMs alone won’t get us to human-level intelligence, what it actually takes for machines to understand physical space, and how technologies born in augmented reality are now powering robotics, wearables, and real-world AI systems.

This conversation goes deep on:

• What “world models” really are — and why everyone from Fei-Fei Li to Jeff Bezos is betting on them

• Why continuous video and outward-facing cameras are so hard for AI

• The perception stack behind robots and smart glasses

• Edge vs cloud compute — and why latency and privacy matter more than ever

• How AR laid the groundwork for the next generation of physical intelligence

If you’re building or betting on robotics, smart wearables, AR, or physical AI, this episode explains the infrastructure shift that’s already underway.

Guest

Kirin Sinha

Founder & CEO, Illumix

https://www.illumix.com

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00:00 Raising the Bar on “Smart” Devices

01:07 Meet Kirin, Founder & CEO of Illumix

01:21 What Is a World Model — and Why It Matters

02:23 Why LLMs Alone Won’t Lead to AGI

03:46 From AR & the Metaverse to Physical AI

05:18 AR vs VR vs the Metaverse — Different Problems, Different Futures

06:32 Spatial Perception, Scene Understanding, and Contextual Intelligence

07:39 Why Continuous Video Is So Hard for Machines

08:39 The Camera Flip: From Selfie AI to World-Facing AI

09:58 Why Cameras Beat LiDAR for Wearables and Robots

10:27 Inside the Perception Stack

11:20 Edge vs Cloud Compute in Physical AI

12:37 Why On-Device Intelligence Matters for UX

13:52 SLMs, Efficiency, and the Limits of “Bigger Is Better”

15:11 Knowing What to Run — and When

16:06 Intent, Memory, and Real-Time AI Decisions

17:32 Physical Intelligence vs Digital Intelligence

18:39 Memory Palaces, Spatial Brains, and Human AI

19:39 Do We Need New Chips for Humanoid Robots?

20:26 How Chip Architectures Will Evolve for Physical AI

21:47 Privacy, On-Device Processing, and Trust

22:48 Final Thoughts on the Future of World-Aware AI