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Sick video with great hook and animations.
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egocentric-1M is a fun name until you realize half my coworkers already qualify. what's the licensing situation for the footage?
the cut from the warehouse POV to the kitchen pour at 0:14 actually slaps. whoever edited this earned their paycheck.
curious how you handled the long-tail of weird first-person motion (looking down at phone, sneezing, etc). that's where ego datasets usually fall apart.
every robot trained on this is going to flinch when it sees a doorframe. respectfully.
internet for physical AI is a strong frame. the second half of that tweet is doing more work than most seed decks I see.
got a perception eng who literally wrote her thesis on egocentric video. you hiring or do I keep her warm?
datasets at this scale are a beautiful capex story until storage and annotation bills show up. how are you thinking about unit economics on licensing this out?
we explored an internal first-person corpus at my last company in 2019 and killed it because legal screamed. interested how you got past that.
this might genuinely be one of the last big data drops a human team ships before agents start curating these themselves. screenshotting.
building adjacent in household robotics and honestly relieved someone is doing the data layer so the rest of us can focus. lightly jealous though.
the thumbnail is doing 40% of the lift here. clean type, moody POV shot, no cringe founder face. learn from this people.
naive question but if the dataset is human POV, how do you bridge to robot embodiments with totally different cameras and heights? feels like a gap.