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> LLMs aren’t exactly known for writing extremely optimized code.

They are trained on everything, and as a result write code like the Internet average developer.



The average developers suck. The distribution is also unbalanced. It is bulkier on the low-skill side.

Great UIs are written by above average or even exceptional developers. Such experience is tied to the real-life reasoning and combining unique years-long human experience of interacting with the world. You need true general intelligence for that.


That is the point I was making, but I suppose that may not have been clear. Thanks for expanding.


Is that really how it works - everything is just weighted equally? I would hope there would be at least some kind of tuning, so <well-regarded-codebase> gets more weight than <random-persons-first-coding-project>? If not, that seems like an opportunity. But no idea how these things are actually configured.


>write code like the Internet average developer

Before post training (GPT3 2020 class models). Post training makes it no longer act like the average.




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