Shash Singh 🔮@_theshash
If you didn't catch Robotics Livestream Ep. 2, here's what the panel actually disagreed on - and where they landed.
The humanoid question split the room.
@broodsugar from @Auki was the most bearish: "I am yet to find a real customer that actually wants to buy or rent a robot with legs." He compared Figure to Magic Leap - $500M raised on a vision that took a decade to even partially materialize.
@dabblerer_ from @BitRobotNetwork pushed back gently: humanoids are the most attention-grabbing form factor and the most relatable for people. Specialized robots might ship first, but generalized robots could also find product-market fit if the development catches up.
George from @tashiprotocol sided with Nils: "Deploy 10 single-use robots that all talk to each other instead of one humanoid who gets his ass kicked the moment it leaves the lab."
On cloud vs. edge, the panel converged fast. Nils was absolute: cloud-controlled robots will never work in production. Customer sites have bad internet and millisecond latency matters for safety.
@0xPravar from @nunet_global agreed but added nuance, it won't be pure edge either. The answer is hybrid architecture with a compute layer that doesn't exist yet.
Nils coined a term for it: "domain-side compute." Hyper-local compute on the same network as the robot, plugged into the wall. He believes connecting to this will become as common as connecting to wifi.
On data, the panel agreed the industry is still early. Nvidia's Sonic model used 700 hours of motion capture. Nils called it less than $100K worth of data. Karen noted it was mostly collected in Nvidia's controlled offices, the real challenge is real-world environments.
But both agreed open-sourcing is the right move because it gives teams a foundation to build on rather than reinventing the wheel.
On the biggest opportunity nobody's talking about: Nils laid out a thesis that the internet itself needs to grow three new dimensions for physical AI - sensors, spaces, and actuators. George connected it to traffic: autonomous vehicles coordinating at low latency in Beijing would recover the equivalent of pyramid-building time every week.
The consensus: the infrastructure layer for physical AI is where the real value is. Hardware will take care of itself. The coordination, compute, and data layers are the bottleneck.
Catch the full Robotics Livestream Ep. 2 on YouTube: youtu.be/jUBUnXiaHjU
