for the record I think all of those are going to happen by 2024 and I’m surprised you’re willing to bet otherwise. other people already took the bet. but the improvements from geometric deep learning, conservation laws, diffusion models, 3D understanding, and recursive feedback on chip design are all moving very fast. embodiment is likely to be solved suddenly when the underlying models are structured correctly. I maintain my assertion from previous discussion that compute is the only limitation and that the deep learning community has now demonstrated that compute is the only thing stopping them. deep learning is certainly bumping up against a wall, but just like every other wall it has run into, it’s just going to go around.
for the record I think all of those are going to happen by 2024 and I’m surprised you’re willing to bet otherwise. other people already took the bet. but the improvements from geometric deep learning, conservation laws, diffusion models, 3D understanding, and recursive feedback on chip design are all moving very fast. embodiment is likely to be solved suddenly when the underlying models are structured correctly. I maintain my assertion from previous discussion that compute is the only limitation and that the deep learning community has now demonstrated that compute is the only thing stopping them. deep learning is certainly bumping up against a wall, but just like every other wall it has run into, it’s just going to go around.