AI, ML, and data science are all different things. And there are different types of jobs in each of those categories. If you want to apply AI, there are lots o

AI, ML, and data science are all different things. And there are different types of jobs in each of those categories. If you want to apply AI, there are lots of really useful projects that are just calling the Anthropic or OpenAI API for the AI part. Or replicate.com image models etc. That wasn't the case a few years ago before we had the general purpose models. I have been doing a lot of those types of projects and I don't have a machine learning background. There are ML Ops jobs that don't require a lot of machine learning knowledge. There are ML researcher jobs that are just training LLMs which are more practical rather than theory. To do novel machine learning research or at least significant variations of popular neural network architectures, I think that is the only thing that really requires years of study. But I think there is a very large gap between that type of work and web development. Which is why I was very happy to see the progress in general purpose models.