I dont think you understand just quite how much harder a laundry bot is than simply stealing everyones work and training a model to learn an approximation of the source distribution.
Where would you even get the training data for starters? Not like people tend to wear mocap gear to do their chores yanno? Not like theyve been doing it the last few centuries, cataloging and digitizing everything dilligently.
Solving washing machine bot would get us a lot closer to AGI than I think llm's / music / art bots will in the forseeable future.
You make some good points, and I think I agree with them. I know robotics tends to be harder [1], but I don't understand how much harder it is. Visual-Language-Action models [2] have been gaining traction recently, along with training in simulated environments. Fine-tuning VLA models for specific purposes may reduce the data requirement. Plus, it's pretty cheap to record someone washing the dishes.
Where would you even get the training data for starters? Not like people tend to wear mocap gear to do their chores yanno? Not like theyve been doing it the last few centuries, cataloging and digitizing everything dilligently.
Solving washing machine bot would get us a lot closer to AGI than I think llm's / music / art bots will in the forseeable future.