I've been experimenting with GPT3 as a "compiler" and it's always amazing when it works. Extrapolating from here, I think this is right on the nose -- we feed i

I've been experimenting with GPT3 as a "compiler" and it's always amazing when it works. Extrapolating from here, I think this is right on the nose -- we feed in any high level language and get reasonably efficient assembly out the other end, furthermore, the assembly is more human-like than a compiler would give you. There's some big problems with this approach today, namely, it's not always right, and it may sometimes be half right (miss edge cases). But think of where this AI technology is headed -- it stands to reason it will eventually work pretty much perfect. And then I think we'll see another very strong trend -- large AI models replacing other forms of software. Why write a compiler when GPT3 can compile C to asm? Why write an interpreter when GPT3 can "compile" python to C? The AI model is hilariously less-efficient than traditional software, but it will be far far cheaper and faster to create than the traditional equivalent. What other types of software will be replaced by AI models?