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voussoir | 1 year ago

I feel like I'm seeing an effect where some people don't want to say the word "AI" because they don't want to look like a normie, so they stick to "LLM" which sounds smarter and more technically adept. Then they complain because the LLM lacks a knowledge graph or self reflection. It's no surprise that a language model models language, not facts, especially not trivia facts which can't be deduced from anything.

If you want something to have a worldly knowledge graph and the ability to answer "I'm not sure", you'll have to ask for an AI, not an LLM.

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sfn42|1 year ago

I think that's the point of the article. It's not complaining about shortcomings, it's pointing them out.

A lot of people don't seem to understand this. A lot of people seem to think LLMs are "AI", even that they're conscious and "thinking" etc.

aeonik|1 year ago

I say LLM because it's more specific. I still use AI to talk about things generally, like the decision making process of NPCs in video games, or deep learning algorithms, etc...

AGI is used more often in my circles to reference the, so far, non-existent self-knowledgeable artificial entity with agency.

Though to be honest, the more I think about "natural" vs "artificial", the more those two words lose all meaning. Ant hills are considered natural, and so are my skills and talents, but those were all built up over time.