this post was submitted on 13 Nov 2024
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Well duhhhh.
Language models are insufficient.
They also need:
Someone in here has once linked me a scientific article about how today's "AI" are basically one level below what they need to be anything like an AI. A bit like the difference between exponent and Ackermann function, but I really forgot what that was all about.
LLMs are AI. There’s a common misconception about what ‘AI’ actually means. Many people equate AI with the advanced, human-like intelligence depicted in sci-fi - like HAL 9000, JARVIS, Ava, Mother, Samantha, Skynet, and GERTY. These systems represent a type of AI called AGI (Artificial General Intelligence), designed to perform a wide range of tasks and demonstrate a form of general intelligence similar to humans.
However, AI itself doesn't imply general intelligence. Even something as simple as a chess-playing robot qualifies as AI. Although it’s a narrow AI, excelling in just one task, it still fits within the AI category. So, AI is a very broad term that covers everything from highly specialized systems to the type of advanced, adaptable intelligence that we often imagine. Think of it like the term ‘plants,’ which includes everything from grass to towering redwoods - each different, but all fitting within the same category.
The stuff in computer games that makes NPCs move around the game world from point A to point B has been called AI for ages (and in this case specifically, is generally the A* pathing algorithm which isn't even all that complex).
It's only recently that marketing-types, salesmen and journalists with no actual technical expertise have started pushing AI as if the I in the acronym actually meant general intelligence rather than the "intelligence-alike" meaning that it has had for decades.
I know those terms. I wanted to edit it, but was too lazy. You still did understand what I meant, right?
We don't call a shell script "AI" after all, and we do call those models that, while for your definition there shouldn't be any difference.