Elan Barenholtz
speaker
2,007 appearances
4 recordings
1 series
first heard Feb 2025
last heard Jun 2025
Elan Barenholtz’s voice in public audio — every appearance, attributed to the second.
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The fact is that these models
are being trained exclusively on text data.
And so all they are learning is the relations between words.
to the model, as far as the model's concerned.
The the the words are turns into numbers, uh they're tokenized.
We c we think of them as numerical representations.
But those numbers and and for the our purposes we could think of them as words
Don't represent anything.
There is nothing in the model besides the relations in the
relations just between the words themselves.
There isn't, for example, any relation between any of the tokens and something external to it.
What we tend to think of as people uh is words what words are doing when they're when we're discussing thing, uh discussing topics, thinking about words in our head, is that they symbolize something, that they refer to something.
This is uh a lot of the philosophy of language, a lot of the uh a lot of the science
uh scientific study of linguistics uh is is been concerned with semantics.
How do words get grounded?
How do they uh mean something x outside of themselves?
And what large language models show us is that words don't mean anything outside of themselves.
As far as generation goes, as far as the ability for us to have this conversation, and as far as the model's ability to
produced uh a re uh meaningful responses to just about any question you can throw at them, um and and including, you know, writing a a long essay on on any topic, including a novel topic that uh it's never encountered, is by stringing together
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