The best conversations at GTC didn't happen in the sessions. They happened after. That's why we threw the party. We hosted Open Hands on March 17 in San Jose, a casino night that brought together 100+ researchers, founders and operators. Teams from @Adobe, @nvidia, @intel, TELUS Digital, @Aptos, @tuesdaylab and 60+ others. Researchers from @UCBerkeley, @CarnegieMellon and institutions across the US and Asia. All in one room, across tables, over drinks. Three things we're taking back from San Jose: > The data bottleneck for physical AI is real and underestimated. Getting a robot to pick up an object, navigate a room, respond to a human. Each of those tasks needs millions of hours of egocentric video across real environments with real variability. Something we've been building towards and GTC validated it. > The Global South, India in particular, is emerging as a critical source of the linguistic and environmental diversity that production-grade models need. Low-resource languages, diverse acoustic conditions, real-world dialects. The data infrastructure for this doesn't exist at scale yet. We're building it. > Human intelligence remains the key variable that separates models that benchmark well from models that hold up in deployment. Judgment, nuance, and context aren't features you can generate. They have to be sourced, verified and embedded from the start. Grateful to @mralbertchun (Founder, AI Circle) for co-hosting a night that proved the point. The best signal at @NVIDIAGTC wasn't on a slide. It was in this room. @ishank20 @manishdiesel @ArunabhRohatgi @anoushkaananth

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