This reminds me of when I started learning spark (back in the dinosaur days). It was considered this cutting edge 'advanced' technology that only the top tier o

This reminds me of when I started learning spark (back in the dinosaur days). It was considered this cutting edge 'advanced' technology that only the top tier of 10x engineers knew how to implement. The documentation was crap and there were not many tutorials so it took forever to learn. These days people can get an excellent introductory class to spark and be just as good as I've ever been at it. I wouldn't call them 'charlatans' like the poster above did. It's just that the libraries used to implement spark have been abstracted and people learn it faster. That's just how it goes in tech. Anyone who wants to learn is a treated like a poser. We over-index on academic credentials which are really not indicative of actual hands-on engineering ability. PS. There are no AI/ML experts. There are LLM experts, prediction model experts, regression experts, image recognition experts.... If you are hiring a 'AI/ML expert', you have no idea what you are hiring.