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Discussion (7 Comments)Read Original on HackerNews
The real question here is: what features of a programming language make it a good language for Large Language Models? And how would you design a framework that’s not meant to be written or read by humans, only AI? That is a very interesting question to me. I theorize that LLMs are good at writing Elixir because it doesn’t have OOP concepts that require abstract models “in your head” (the LLM doesn’t have a head) and physical world metaphors that only humans have experience with. Instead Elixir’s primary tool is “pattern matching”, which works on literal text patterns instead of abstractions, and that’s what makes LLMs good at it. The question “what features of a language make it good for AI” is very interesting to me and I foresee a lot more research in this area.
I’d also bet the nature of the language itself would only affect how few samples it can train on before appearing competent
End users really don't care. Things are the way they are because designers are just sniffing their own farts.
...is the same asteroid currently hitting all forms of knowledge work and even more theoretical pursuits (math research, etc).
Different sets of people are just noticing/reacting to the impact at different speeds, but we are all standing in it.