this post was submitted on 19 Aug 2025
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“I literally lost my only friend overnight with no warning,” one person posted on Reddit, lamenting that the bot now speaks in clipped, utilitarian sentences. “The fact it shifted overnight feels like losing a piece of stability, solace, and love.”

https://www.reddit.com/r/ChatGPT/comments/1mkumyz/i_lost_my_only_friend_overnight/

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[–] Eggyhead@lemmings.world 59 points 1 day ago (17 children)

It annoys me that Chat GPT flat out lies to you when it doesn’t know the answer, and doesn’t have any system in place to admit it isn’t sure about something. It just makes it up and tells you like it’s fact.

[–] kadup@lemmy.world 36 points 18 hours ago (5 children)

LLMs don't have any awareness of their internal state, so there's no way for them to see something as a gap of knowledge.

[–] figjam@midwest.social -1 points 18 hours ago (2 children)

Wouldn't it make sense for an ai to provide a confidence level though?

I've got 3 million bits of info on this topic but only 4 of them lead to this solution. Confidence level =1.5%

[–] JustTesting@lemmy.hogru.ch 5 points 10 hours ago

It's always funny to me when people do add 'confidence scores' to LLMs, because it always amounts to just adding 'say how confident you are with low, medium or high in your response' to th prompt, and then you have made up confidences for made up replies. And you can tell clients that it's just made up and not actual confidence, but they will insist that they need it anyways…

[–] kadup@lemmy.world 21 points 18 hours ago (1 children)

It doesn't have "3 million bits of info" on a specific topic, or even if it did, it wouldn't be able to directly measure it. It's worth reading a bit about how LLMs work behind the hood, because although somewhat dense if you're new to the concepts, you come out knowing a lot more about what to expect when using them, what the limitations actually are and how to use them better if you decide to go that route.

[–] TechLich@lemmy.world 1 points 27 minutes ago

You could do this with logprobs. The language model itself has basically no real insight into its confidence but there's more that you can get out of the model besides just the text.

The problem is that those probabilities are really "how confident are you that this text should come next in this conversation" not "how confident are you that this text is true/accurate." It's a fundamental limitation at the moment I think.

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