alt Hacker NewsThis seems like a worthwhile listen. As it stands I think that LLMs sort of suck at this. Either that or I don't understand what analogous thinking is or people who use LLMs to facilitate this kind of thinking are bad at it too.
But I think that LLMs are bad at something that has to do with taking seemingly disparate concepts and assimilating one into the other to convey a novel idea.
Like these articles...
<https://spectrum.ieee.org/jimi-hendrix-systems-engineer>
<https://zed.dev/blog/agentic-xanadu>
...are anything but convincing once you read past the gravitas that the LLM lends the prose.
> 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.