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Your automation hits 95% and stops? We handle the edge cases that cost you the most | Robotics & Physical AI annotation | 35K+/week
china's eating our lunch on robotics manufacturing but here's the part that should terrify you more: allen institute just tried building a foundation model with 1M robot trajectories. had to throw out 810,000 of them. quality was that bad their competitor has 1.2M trajectories.…
China's dominating robotics hardware manufacturing but here's what nobody talks about USA robotics companies have a data problem. Allen institute just filtered 1M training trajectories, only kept 190k. 81% was unusable You can have the best algorithms in the world but if you're…
Robotics feels 10 years behind where it should be language models had the entire internet to learn from. every paper ever written, every code repository, every conversation robots? they're learning from whatever data engineers can manually collect in a lab imagine if GPT was…
Language models: trained on trillions of tokens from the internet Robotics models: trained on... whatever data we can manually collect in controlled labs This is why your warehouse robot works perfectly in testing and fails in production. It's about capturing the chaos that…
Interesting take. Here's where we see it differently: Robotics deflation happens at the production layer, not retail pricing. Warehouse automation already cut logistics costs 30-40% for major retailers. The question isn't whether costs drop, it's who captures that margin. If…
Is there a good reason to believe that AI/Robotics will lead to lower prices in the main categories (homes, cars, food) that people spend money on? I think "no." If that's true... despite all the talk about AI/Robotics being deflationary... households will not experience it.
Here's what most robotics teams get wrong about training data. They build datasets with 50,000 clean images. Perfect lighting. Isolated objects. Controlled environments. Then the robot ships to a real warehouse and accuracy drops from 95% to 68%. Why? Because production…
Just back from a Physical AI developer summit. Every robotics team hits the same wall: Their model works at 95% accuracy in the lab. Then production happens. - Lighting changes hourly - Sensors get dust/moisture - Objects partially occlude - Real environments ≠ test data The…
Just back from a Physical AI developer summit. Every robotics team hits the same wall: Their model works at 95% accuracy in the lab. Then production happens. - Lighting changes hourly - Sensors get dust/moisture - Objects partially occlude - Real environments ≠ test data The…
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