Comment by olirex99
Spatial AI will for sure be a thing, I am not sure if will be next frontier.
The main problem that I still see is: we are not able to fully understand how much can we scale the current models. How much data do we need? Do we have the data for this kind of training? Can the current models generalize the world?
Probably before seeing something really interesting we need another AI winter, where researchers can be researcher and not soldiers of companies.
The data is out there if we give at least wheels to a robot and let it bump into things like we did when we were little. We didn't need a billion pictures or videos. Only trial and error, then we developed a mental map of our home and our close neighborhood and discovered that the rest of the world obeys the same rules. Training AIs doesn't work like that now.
I think that they want to follow the same route of LLMs: no understanding of the real world, but finding a brute force approach that's good enough in the most useful scenarios. Same as airplanes: they can't fly in a bird like way and they can't do bird things (land on a branch) but they are crazily useful to go to the other side of the world in a day. They need a lot of brute force to do that.
And yes, maybe an AI winter is what is needed to have the time to stop and have some new ideas.