Comment by b112
2 hours ago
Androids (humanoid robots) will require loads of ram, and loads of model training under the current paradigm. So it sort of makes sense. At least, I see robots as the top of the pyramid.
2 hours ago
Androids (humanoid robots) will require loads of ram, and loads of model training under the current paradigm. So it sort of makes sense. At least, I see robots as the top of the pyramid.
Autonomous (non-teleoperated) humanoid robots that can do useful work in an unfamiliar environment do not exist. And nobody's close enough to making them to understand if they're possible with our current level of technology, let alone how.
We’re experiencing gpt-2 moment in robotics now. This means in about 2-3 years they will do useful work (cooking, repairs, cleaning, etc).
If there's no unknown unknowns in the brain, it's most likely possible. As the universal approximation theorem and empirical results of scaling SGD+RL suggest. Whether it will be economically viable remains to be seen. The human cerebellum has a peculiar structure and 80% of the brain's neurons after all.
If you're running a massive model for logic you're probably better off not putting it in the robot. And it'll be a long time before there's enough robots to make up a significant share of usage.
More basic movement control doesn't need loads of ram as far as I know.