A Collection of Good LLM Analogies

Neil Gaiman

@neilhimself

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ChatGPT doesn't give you information. It gives you information-shaped sentences.

Twelvisten

@Twelvisok

@neilhimself Some more disturbing interactions with ChatGPT the other night.. What is your position on this direct misrepresentation of your work?

Aleksandr Tiulkanov

@shadbush

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My chatbot flowchart is still making huge rounds, now with @UNESCO support. Thanks to @ylecun for instantly driving around 200K people to my initial tweet about it. The links are in this thread

Omar Khattab

@lateinteraction

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Actionable, extended analogies are underrated. Here's one: LMs are stochastic *devices* for pattern processing. Like CPUs or GPUs, but Language Processing Units (LPUs). Assembly? Higher-Level Languages? Compilers? Understanding this analogy resolves several major questions.🧵

Andrew Kadel @DrewKadel@social.coop

@FrKadel

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My daughter, who's had a degree in computer science for 25 years, posted this about ChatGPT on Facebook. It's the best description I've seen.

andrew blinn ✈️ toronto

@disconcision

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feel like these kind of pictures are good to keep in mind when thinking about LLM output as well... current tech falls into a kind of uncanny valley where some details feel so high-effort relative to most human bullshit that it can be easy to overlook higher-level incoherence

Adam J Calhoun

@neuroecology

I heard you can use AI to teach you things, so I asked midjourney to show me How Things Work Am I doing this right?

Mark Dredze

@mdredze

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For years I’ve explained to people that computers are good at math but bad at language. Now, we’ve developed a new class of incredibly powerful AI that is great at language and, somehow, bad at math.

Hyung Won Chung

@hwchung27

Hey Bard…? 🤔