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@williampietri@sfba.social

Post #3261878

2024-01-14 16:05 UTC

Let's turn to the second plausible use case: customer support. People often like to talk to other people to resolve problems. What if we can automate the *feeling* of talking to a person, but with no actual people involved? There are a bunch of things going on here. At least here, there's a real user need. But to what extent is it a real user solution? It's plausible to me here that this will be a plausible first-query solution once you've built up a good base of Q&A examples for it, doing a bit of textual generalization. At least as long as what you're doing is pretty standard. But remember that we're using a bullshit engine here, so what happens when the statistically plausible text isn't correct or useful? 6/

Replies (1)

  • @williampietri@sfba.social 2024-01-14 16:08

    A good example here is the car dealership that tried using a ChatGPT bot for customer service. It quickly agreed to a "legally binding" offer to sell cars for $1: https://venturebeat.com/ai/a-chevy-for-1-car-dealer-chatbots-show-perils-of-ai-for-customer-service/ Would any human agent do this? No. Because humans understand things. This is a toy example, but if GPT-ish things don't work for very basic cases, how much can we rely on them for important cases? 7/

    Open ##3261879