alt Hacker News> not that interested in getting good at it
I think they're interested in getting good at it. They just don't want to put in the human time and effort to do so. They expect their many failures and short-comings to be shored up by continuous model training.
But that, of course, means that in the meantime it will suck and nobody will use it.
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Things that are not doing the thing. https://strangestloop.io/essays/things-that-arent-doing-the-...
I think they're operating beyond their current (human) capacity, trying to test out too many things at a time.
But a dreamer in me entertains another idea: perhaps they're just holding back, because they realize that actually succeeding at this will instantly kill (or at least mortally wound) e-commerce as we know it.
(This is a more narrow version of my belief that general AI tools like LLMs fundamentally don't fit as additions to products, but rather subsume products, and this makes them an existential threat to the software industry. Not to software or computing, just to all the software vendors, whose job is to slice off pieces of computational universe, put them in boxes to prevent interoperability, and give each a name so it's a "product" that can be sold or rented).
> don't want to put in the human time and effort to do so
In most circles, that is "not that interested in getting good at it".