Paul Cantrell
@griotspeak @jgilbert @atoponce
Yes, this!! And to dogpile:
One of the great strengths of computers is consistency. They may not do everything we want done. They may follow a bad model, a bad assumption, or a programmer error right off a cliff. But at least they can do that •consistently•, giving us humans a bedrock of predictability to work with and work around. But not ChatGPT!
LLMs: Still bad at the human things, but now •also• bad at the computer things
Paul Cantrell
Please unsubscribe me from this argument
wendinoakland for Harris
@tuban_muzuru @paninid @inthehands @griotspeak @jgilbert @atoponce I don’t work in legal services and don’t need to know about their ability to facilitate sourcing or citations. I have seen obvious examples of simple stupidity, misunderstanding of basic prompts, lack of flexibility in language comprehension, and an inability to recognize valid illustrations from wildly inaccurate ones.
tuban_muzuru
@wendinoakland @paninid @inthehands @griotspeak @jgilbert @atoponce
,,, and for LLMs, I will completely agree with you. That's not what LLMs are for, and we both know it.
Right? Did you read what I wrote?
wendinoakland for Harris
@tuban_muzuru @paninid @inthehands @griotspeak @jgilbert @atoponce I have seen astounding misrepresentation of information and posts so devoid of logic or understanding that categorically I consider LLMs mostly shit.
tuban_muzuru
@wendinoakland @paninid @inthehands @griotspeak @jgilbert @atoponce
You have, huh? Take a look around.
tuban_muzuru
@wendinoakland @paninid @inthehands @griotspeak @jgilbert @atoponce
LLMs can give you considerably more than eloquent garbage, if they have an education, say a law degree, bolted onto them with an expert system - which you can now buy. LLM front end - verifiable facts back end.
wendinoakland for Harris
@tuban_muzuru @paninid @inthehands @griotspeak @jgilbert @atoponce They can speak, but can’t think. It’s eloquent garbage.
tuban_muzuru
@inthehands @griotspeak @jgilbert @atoponce
LLMs: designed for language things. If you use a language thing for predictability, boy-o, you will not get consistency.
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