"the funding all these startups are getting should allow them to scale their methods 10x-100x.." .. "Therefore, we might soon see a ChatGPT moment in robotics" -- I don't think so and no, the second statement is NOT entailed by the first. Why would it? Because 100 is a big number? Do you have any idea how much more data LLM needed to be trained for a GPT3 level compared to the data available for robot training right now, and how low dimensional the space is in which LLMs operate compared to robots?"My intuition is there's 40% chance we will see it this year" -- again, why? Don't you realize that people have been working in robotics for 65 years, and these people don't live under a rock either. They knew about GPT3 because 2023. So why is it NOW less then 10 month you think that this breakthrough will happen?
willahmad|3 hours ago
What kind of data do you need which is missing now, isn't simulations enough? curious to learn more about bottlenecks in general