2 ms·
> As it stands I think that LLMs sort of suck at this. Metaphors are at the core of LLM cognition too via vector embeddings. The distance between embeddings is
by delichon 2mo ago
> As it stands I think that LLMs sort of suck at this.
Metaphors are at the core of LLM cognition too via vector embeddings. The distance between embeddings is an inverse measure of their metaphorical attachment. That lets AIs scrape meaning from natural language, which demonstrates that natural language is an encoded sequence of metaphors.
- tolerance 2mo agoI'm going to need a weekend or two to figure out what this means.
- hbogert 2mo agoHave you played with a vector databases and have them explained yet? The grandparent comment is only explaining that concept.
- tolerance 2mo agoNope! But I'm soaking all of this in and I appreciate these nudges. And after some thought I'm curious whether this means that LLMs ought to be adept at forming new metaphors as opposed to handling pre-existing ones.