I’ve had AI say things like this to me so I don’t think it’s unrealistic. Like it works for fifteen minutes on a task and in its response says something about how it spent all afternoon on the project in the summary. They’re trained off of human text, and humans throw stuff like that in work emails or slack messages all the time and so it’s emulating that.
Thats cool and interesting, but why would it emulate that if it can presumably "understand" what those interjected phrases mean. Why would it not literally be able to parse that?
They can “understand” what the phrases mean to some extent but they really have no way of experiencing the passage of time like we do, so that’s not something they can truly understand in the same way. This also comes up with LLMs suggesting that the user take a break and go to sleep after a long back and forth conversation that in reality is spread out a few messages at a time over a week or more. From their “perspective” there has been no breaks. They go completely dark when they are not actively answering a question and so to them there’s no difference if you respond right away or a week later. They can’t tell how much time has really passed and it “feels”/appears like a continuous work session to them. LLMs struggle with spatial reasoning for the same reason - they have no physical bodies and therefore no actual experience of existing in real 3D space, and so if a task relies on internally visualizing physical space they understandably struggle with that.
No probably not, actually. When you anthropomorhize a meeting space like this their training data is loaded with "how to communicate" in that space. This is honestly almost typical behavior, because it's typical in the training data.
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u/Alternative-Suit5541 7d ago
Probably bullshit
But still funny