alt Hacker News> This is the ultimate problem with AI in academia. We all inherently know that “no pain no gain” is true for physical tasks, but the same is true for learning. Struggling through the new concepts is essentially the point of it, not just the end result.
OK but then why even use Python, or C, or anything but Assembly? Isn't AI just another layer of value-add?
No, because AI is not deterministic. All those other tools are intentionally isomorphic with machine code, even if there's a lot of optimization going on under the hood. AI may generate code that's isomorphic with your prompt, but it also may not. And you have no way of telling the difference besides reading and understanding the code.