When I write some 100% bespoke code that is rather hastily composed and then paste it all into ChatGPT4 asking it to "refactor this code with a focus on testability and maintainability" and not only does it do so, but it does a pretty damn good job about it, it feels rather reductive to say "it's just providing the next most likely word".
I mean, maybe that's how it works, but that statistical output clearly involves modeling what my code does and what I want it to do. Rather than make me think LLMs are a cheap trick, it just has me thinking, "shit - maybe that's all I do too."
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Bingo.
When I write some 100% bespoke code that is rather hastily composed and then paste it all into ChatGPT4 asking it to "refactor this code with a focus on testability and maintainability" and not only does it do so, but it does a pretty damn good job about it, it feels rather reductive to say "it's just providing the next most likely word".
I mean, maybe that's how it works, but that statistical output clearly involves modeling what my code does and what I want it to do. Rather than make me think LLMs are a cheap trick, it just has me thinking, "shit - maybe that's all I do too."
Averaged faces are beautiful, averaged code is clean. Not sure how that is hard to believe. Just don't extrapolate it too far or it will get strange.