bachback
Joined 13 years ago
Joined 13 years ago
it is a bit ackward for humans but machines can process it better because it has less structure. for example what I thought is that Lisp could potentially be a great choice to interop with Large Language Models with, because its potentially shorter code. Good clojure code can be 5-10x shorter than python code. With LLMs size of code matters a lot.
See also: https://paulgraham.com/avg.html
https://aider.chat/docs/leaderboards/
the question is how would you define "improve" and "solve". RLHF in a way delegates this to humans.
"The National Security Agency (NSA) has recommended only using 'memory safe' languages, like C#, Go, Java, Ruby, Rust, and Swift, in order to avoid exploitable memory-based vulnerabilities."