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IFP @_brianpotter reveals how giving humans "Hulk hands" could solve one of the biggest problems holding back AI robotics: "The main thing people are figuring out is ways to get this manipulation data that is cheaper and easier. The method that is seemingly becoming very popular now is this thing called UMI." "It’s basically giving a person Hulk hands. These robot gripper things, a pincher thing that fits over a glove and has cameras mounted at the end of it." "A person sticks their hands in…
FULL INTERVIEW: Brian Potter says robots learned kung fu before they learned to pick things up because motion is easy to train in simulation and grabbing objects isn't. The fix catching on now is putting "Hulk hands" with cameras on humans to record the data. @_brianpotter writes Construction Physics and is a senior infrastructure fellow at @IFP. He joined @theojaffee and @schisofrenia to break down how AI drives robots, why prefab houses still can't beat hand tools, and the rise and fall of the plasma screen: 00:56 the rise and fall of the plasma screen 04:40 how vision-language-action models drive robots 06:33 why data is the hardest part of robotics 07:46 GPT-6 Astra, and whether frontier models make robot models obsolete 09:51 teleoperation vs simulation 10:18 why robots can do kung fu but can't grab things 11:07 UMI, or giving humans Hulk hands 11:56 how to actually learn how things get built 16:47 why prefab houses still can't beat hand tools 18:12 if we can prefab chips, why not houses 19:07 why cheap robots could fix construction