Every single person seems to have a distinct opinion about the AI field since ChatGPT’s launch. So far I think this: Statistical methods just have wildly different pros and cons than traditional programming. It’s an exciting and increasingly necessary space to explore because the pro column offers so much brand new capability. But the con column is also loaded with fundamental problems. When do you use one method versus the other? For which pieces of a system, for which levels of control? Depends on what they’re each good at. I think both will continue to matter, but I can’t make any more assertions.