@glyph Any pointers to where I can find out more about this? I want to improve the balance of my TDD game and its upcoming expansion.
jitterted@sfba.social
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let's get this party started #NBPy -
Love wearing this shirt when I travel… Had someone ask to take a picture at the Frankfurt Airport train station (at first in German, who then switched to English, but I knew he wanted a pic 😉).btw, got the shirt from https://www.teepublic.com/user/nobodyssweetheart
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Love wearing this shirt when I travel… Had someone ask to take a picture at the Frankfurt Airport train station (at first in German, who then switched to English, but I knew he wanted a pic 😉).Love wearing this shirt when I travel… Had someone ask to take a picture at the Frankfurt Airport train station (at first in German, who then switched to English, but I knew he wanted a pic
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I know a lot of people, in software and otherwise, who are feeling things along these lines.@inthehands This is why I live stream my coding, which I do without the use of LLMs. I love the thinking/design process AND the writing of the code. And while it might *seem* slow, so what? The journey is (mostly!) enjoyable and provides meaning and community for me.
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When we use words like "introspection", "hallucination", "understand", "discover", and so on when we're talking about LLMs, we make a dangerous mistake.When we use words like "introspection", "hallucination", "understand", "discover", and so on when we're talking about LLMs, we make a dangerous mistake. LLMs have no consciousness, agency, nor self-awareness, and using such terms can make it seem like they do.
(Even "writing code" hits different than "generates code".)
This isn't a pro- or anti-AI comment, it's a truth vs. lying (perhaps to oneself) comment. How we (especially the sellers of trained models) talk about these statistical token generators affects how/when/if we use them and what we expect of them.