[drweevil]

Exactly this. LLMs synthesize language, based solely on statistical data, shorn of semantics. The "magic" happens when we humans re-insert the semantics into the LLM's output--because that is why language is used: to convey meaning--and assume the meaning was there all along.

[grosswait]

Aren’t the semantics in the statistical data?

[drweevil]

No. One can safely infer the semantics, because how we generally use language is what is encoded, and that how is closely related to the semantics. I imagine that this is why so-called "hallucinations" occur, when there is a subtle (or not so subtle) disconnect between the usage statistics and the semantics. (For example, satire or sarcasm isn't understood by the LLMs, so we get advice like use glue to make cheese 'stick' to pizza.)

[solardev]

Can you prove that statistics cannot encode semantics?

[Terr_]

Compare: "Can you prove that alien explorers cannot make contact with us?"

Nobody has the tools to begin proving a negative [0] in either of those cases, and it's possible they'll eventually occur... But so what?

Just because it could happen someday does not mean it's happening now. Instead, we have decades of seeing humans excite themselves into perceiving semantics that aren't present [0], and nobody's provided a compelling reason to believe that this time things are finally different.

[0] https://en.wikipedia.org/wiki/Burden_of_proof_(philosophy)

[1] https://en.wikipedia.org/wiki/ELIZA_effect

[solardev]

I don't think this is the unprovable you think it is?

If LLMs and statistics can't encode semantics, how can do chatbots perform long-form translations with appropriate contexts? How do codebreakers use statistics to break an adversary's communications?

Sometimes the statistics are semantic, like when "orange" and "arancia" the picture of that fruit all mean the same thing, but Orange the wireless carrier and orange the color are different. Those are connections/probabilities humans also learn via repeated exposure in different contexts.

I'm not arguing that LLMs are synthesizing new ideas (or old ones), but that they ARE capable of deriving semantic meaning from statistics. Rather than:

> language, based solely on statistical data, shorn of semantics

Isn't it more like:

> language, based solely on statistical data, with meanings emerging from clusters in the data

[Terr_]

Fair, the word "semantics" probably shouldn't be used here, because, strictly speaking, it is a departure from the original "ideas" being discussed.

A system of vectors for man + royalty = king may capture relationships of meaning that we invested into a language, but does it conceive ideas?

[solardev]

I don't think so — I don't disagree with you there. It was more the parent (the child to your post) I was responding to, about statistics and semantics.