I've been arguing for not being too trusting in the code LLMs generate. I've seen deepseek-r1 and multiple chatgpt models try to solve a genuinely trivial issue

I've been arguing for not being too trusting in the code LLMs generate. I've seen deepseek-r1 and multiple chatgpt models try to solve a genuinely trivial issue in code by deleting the unit test. And that was a well established language. Sure, it did compile. But it didn't solve the runtime bug. You cannot replace logic and experience with the statistics of just things that already exist, especially when creating something new and innovative.