Biwei Huang(@huang_biwei):Really enjoyed this conversation. Jack asked questions beyond buzzwords — why causal structure actually matters for robots that have to work in the real world, not just look good in a demo. We covered: why scaling correlation alone hits a wall in physical AI, what a causal world model actually is, and why I think the "GPT moment" for embodied intelligence is closer than most people assume. Recorded at 6am Pacific. Forgive me if I rambled. 😅 Thanks @GeekPark for hosting.

2026.06.11 18:04

Really enjoyed this conversation. Jack asked questions beyond buzzwords — why causal structure actually matters for robots that have to work in the real world, not just look good in a demo. We covered: why scaling correlation alone hits a wall in physical AI, what a causal world model actually is, and why I think the "GPT moment" for embodied intelligence is closer than most people assume. Recorded at 6am Pacific. Forgive me if I rambled. 😅 Thanks @GeekPark for hosting.

GeekPark@GeekParkHQ

2026.06.11 13:50

Why Hasn't Embodied AI Had Its GPT Moment? Last night on #GeekParkLive#, Jack Zhang sat down with Biwei Huang @huang_biwei, founder of @AetherLab_AI. The question on the table: can next-token prediction ever really understand why things happen? And does that matter for physical AI? A few things from the conversation worth sitting with: