0
A prevailing sentiment online is that GPT-4 still does not understand what it talks about. We can argue semantics over what “understanding” truly means. I think it’s useful, at least today, to draw the line at whether GPT-4 has succesfully modeled parts of the world. Is it just picking words and connecting them with correct grammar? Or does the token selection actually reflect parts of the physical world?
One of the most remarkable things I’ve heard about GPT-4 comes from an episode of This American Life titled “Greetings, People of Earth”.
While whether LLMs are intelligent or not is still hotly debated. I think the author’s thoughts are very interesting.
LLMs can’t do any of those things though…
If no one teaches them how to speak a dead language, they won’t be able to translate it. LLMs require a vast corpus of language data to train on and, for bilingual translations, an actual Rosetta stone (usually the same work appearing in multiple languages).
This problem is obviously exacerbated quite a bit with animals, who, definitionally, speak no human language and have very different cognitive structures to humans. It is entirely unclear if their communications can even be called language at all. LLMs are not magic and cannot render into human speech something that was never speech to begin with.
The whole article is just sensationalism that doesn’t begin to understand what LLMs are or what they’re capable of.
They are making sense of a language without a rosetta stone. The English llm talk is learned from English.
Now the corpus is a big work to do. But still.
No, they learn English (or any other language) from humans. Translation requires a Rosetta Stone and LLMs are still much worse at it than dedicated translation programs.
Curious your thoughts about this. Not an LLM but likely using transformers in the architecture.
This is so funny, I know him personally; we went to school together. I’ll watch it and comment later.
What about preserving languages that are close to extinct, but still have language data available? Can LLMs help in this case?
Yeah, that would be a good usage of an LLM!