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Working on a Programming Language in the Age of LLMs
genie I’ve been working on Rye since 2018. It’s a project of joy — but also because I believe there is a potential to create something of value to others, eventually. Even people living under a rock know we’ve entered the age of LLMs. I don’t jump to ships too soon, but eventually, even I had to admit: code can get generated from prompts. And in many situations — with a smart prompter — the results are quite OK.
Absurdly they also need examples, tutorials, blogposts, Stack Overflow answers, which they are now well, killing. This also leads to a question (inspired by certain monkeys on typewriters) I asked LLMs a few times: Or would they simply recombine existing knowledge in increasingly sophisticated ways — trapped in an echo chamber of human-generated training data?
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