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That is interesting for sure, but the subsequent questioning "Why did you get it wrong the first time?" and asking it to explain itself seems like it shows a mi
by JohnMakin 2y ago
That is interesting for sure, but the subsequent questioning "Why did you get it wrong the first time?" and asking it to explain itself seems like it shows a misunderstanding about how these technologies actually work. Please stop treating these tools like they are conscious and actually understand what they are spitting back to you! /rant
- fragmede 2y agoI've done spreadsheets are all you need. The questioning isn't based on a misunderstanding that this is autocomplete with an insane dataset, but given a black box, how else do you want it to explain how it works?
- JohnMakin 2y ago> how else do you want it to explain how it works? Why do you think these tools understand how they work enough to explain it? If this were the case they wouldn't be a blackbox to begin with.
- Atotalnoob 2y agoBecause it’s making up how it works.
- skeledrew 2y agoActually, given that models are trained on data generated by humans, the ideal way to get decent responses are by treating them as such. Many times when I'm aware that a model gave an incorrect response, or I'm not sure and skeptical, a simple "Are you sure" or "Explain your answer" does wonders.