Comment by observationist | Hacker News Reader

Comment by observationist | Hacker News Reader

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An '82 stratocaster would normally go for around $2000, so someone offloading an estate, fat fingering a price entry, etc, could give you a chance to double your money or more. $600 would be a very low price - same for a Martin D18 in fair+ condition, no cracks, etc.

If I were going to automate something like this, I'd have a suite of products to watch for - common enough to be reasonably frequent but obscure enough to be mispriced, kinda the whole idea behind secondhand ocmmission / antique / estate sale shops.

I don't know how EBay is supposed to differentiate automation from real users in this scenario. To get around it, all you need is human intervention at the last act, so you could fire up your bot and have it forward the "buy now" link when all parameters are met? Maybe they just don't want AI companies to have an argument for some sort of revenue sharing or commissions.

> An '82 stratocaster would normally go for around $2000, so someone offloading an estate, fat fingering a price entry, etc, could give you a chance to double your money or more. $600 would be a very low price - same for a Martin D18 in fair+ condition, no cracks, etc.

On the other hand, when people list a steeply discounted item, there's usually a good reason why they do so - opportunities for easy arbitrage are rare because people would usually prefer not to give you free money if they can help it. Signing up to automatically buy broken items for $600 without so much as looking at their condition seems like an easy way to lose a lot of money.

But most of what you are suggesting could be automated without the LLM. The price and categorical condition (new, great, good, fair, etc.) could be evaluated for a search query without getting LLM agents involved. I'm just surprised that an LLM evaluation of the written product description is the tipping point (often those descriptions are empty or contain irrelevant information), where people would switch from reviewing their carts to allowing autonomous transactions without in-the-loop supervisory control.

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