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LLMs with access to real-time data and reviews should be able to simplify this process a lot. “Show me a white and gold sectional in the art deco style for under $2500.” “Actually none of these look comfortable but I like the vertical lines on this one. Also make sure that any option you present does not contain toxic fire retardants or otherwise contains materials that result in the California prop whatever warning” “this looks great but can you find one with power reclining” Etc…buying something linked from the LLM will count as a referral and generate revenue for its developer.


"I'm sorry, you are correct in pointing out that I returned couches containing toxic fire retardants. Here is the correct list:"

[... same list ...]


Lol. I should have said AI rather than LLM because it would look at product images too - GPT-4 is already multi-modal. GPT-5 (and equivalents) is probably where services like this will start trickling out, and by then the model should have a lower error rate. The jump from 3.5 to 4 was huge.

The AI doesn’t need to be perfect - even if it makes an occasional error such as showing you a couch with flame retardants, you can spot that in the listing yourself. Most other qualities of a couch are very visible and you’ll be able to tell visually how good of a job the AI is doing.




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