Would you have discredited early AI work because they could only train and compute a couple of weights?
This is about first prototypes and scaling is often easier than the basic principle.
This is about first prototypes and scaling is often easier than the basic principle.
A lot of these novel AI accelerators run into problems like that because they're not capable of general purpose computing. A good example of that are the boltzman machines on Dwave's stuff. Yeah it can do that but it can only do that because the machine is only capable of doing QUBO.
But if we could make cheaper inference machines available, everyone would profit. Isn't it that LLMs use more energy in inference than training these days?