> You just get way fewer experiments per day done.
Smaller/simpler/weird/different models can be an incredible advantage due to iteration speed. I think this is the biggest meta problem in AI development. If you can try a large range of hyper parameters, fitness function implementations, etc. in a few hours, you will eventually wipe the floor with the parties forced to wait days, weeks and months for their results each time.
The bitter lesson certainly applies and favors those with a lot of compute and data, but if your algorithms fundamentally suck or are approaching a dead end, none of that compute or information will matter.
Smaller/simpler/weird/different models can be an incredible advantage due to iteration speed. I think this is the biggest meta problem in AI development. If you can try a large range of hyper parameters, fitness function implementations, etc. in a few hours, you will eventually wipe the floor with the parties forced to wait days, weeks and months for their results each time.
The bitter lesson certainly applies and favors those with a lot of compute and data, but if your algorithms fundamentally suck or are approaching a dead end, none of that compute or information will matter.