The focus has changed, and the outcomes of that are felt throughout the industry. Even today, they are being discussed on HN in another thread[0]. I'll post an

The focus has changed, and the outcomes of that are felt throughout the industry. Even today, they are being discussed on HN in another thread[0]. I'll post an excerpt from the current highest-voted comment. > Like why didn't anyone catch the issue with the logs? Because it doesn't matter, every data team is a cost-centre that unscrupulous managers use to launch their careers by saying they're big on AI. So nothing works, no-one cares it doesn't work, most the data engineers are incapable of coding fizzbuzz but it doesn't matter. People always wonder why banks etc. use old mainframes. There's like a 0% success rate for new data projects. And that 0% includes projects which had launch parties etc. but no-one ever used the data or noticed how broken it was. I don't think a lot of orgs which use data as core-infra could modernize, the industry is just so broken at this point I don't think we can do what we did 30 years ago. [0]https://news.ycombinator.com/item?id=42010249 https://news.ycombinator.com/item?id=42010249