Drop shippers who arbitrage between major and minor ecommerce platforms need to maintain their listings, re-price things, etc. They don't care if the AI gets it wrong sometimes as long as they more than make back the cost of deploying it.

So now imagine ten thousand of these jerks telling their AI of choice "hey go scrape everything you can and re-list it for 10% more". That's a lot of load on the platforms at both ends for listings that are unlikely to generate many sales.

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subroutine 13 hours ago | parent [-]

But that also seems like a very inefficient way to accomplish this automation task from the drop shippers side too. What do you gain from the LLM that non LLM automation couldn't do more cost effectively?

	▲	cucumber3732842 31 minutes ago \| parent \| next [-]
		The LLMs are being used to hack around the fact that while the software mostly works for what people need any given user inevitably has a few workflows that are clunky or highly manual. Stuff that used to have to be laboriously scripted can now be pseudo code.
	▲	TeMPOraL 5 hours ago \| parent \| prev [-]
		More importantly, doing this will quickly get throttled on the provider side (if using chat UI) or costs will skyrocket (if using APIs). The right way to use LLMs here is to have them write (and perhaps maintain) scraping scripts and run those.