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by jrpt 812 days ago
Come on, it isn’t anything to do with being a “marketing stunt.” Often products like this are expected to lose money at first, but they hope with enough R&D and scale that they can make it successful eventually.

For example, you are pointing out that annotating is costly, but that’s an expense that scales independently of the number of stores. So with enough scale it wouldn’t be as big a deal. Or if they figured out some R&D that could improve it too.

1 comments

right, that's how it starts. but the improvements in methodology simply aren't there as the ML sector has been laser focused on generality in modeling (GenAI as it's affectionately known). "at scale" doesn't just mean more stores; it means more products and thus more annotation. how many UPCs do you figure there are in a given Target or Whole Foods? i assure you it's in the millions.

one advantages of the Amazon Go initiative is a smaller scope of products.

GenAI means Generative AI, not General AI.
right i was kinda being cheeky about how large models are all called GenAI by product/business types heh