Two notes: 1. This article is not talking about how, for neural networks, you can just have pretrained networks — where the cost of compute and data is incurred

Two notes: 1. This article is not talking about how, for neural networks, you can just have pretrained networks — where the cost of compute and data is incurred there — and then use them to classify images or what not on your decades old computer. Correct? 2. Often times, some problems are “solved” in the sense that they become irrelevant. Is that also the case here. It seems compute and data were seemingly constraints, but technology (algorithms) just got more efficient. Should we not reframe this and say that algorithms are the constraint, then, and that’s what we should aspire to improve? Usually throwing compute and data marginally improves gains anyhow...