

This is like saying computational biology is not suited for real science, as AlphaFold beat existing docking search algorithms on accuracy. Neither means you just get an answer spit out and your science is done, but it doesn’t mean they’re not productive tools in the process.
And all of these predictive methods, ML and not, are biased to existing data, because that’s all the information we have to guide their development and gauge their success.
If an organization the size of Microsoft is struggling to fix 231 bugs in a month, that’s an indictment of Microsoft, not an example of some impossible task. Tech companies have been laying off people left and right and this is a threat to their core business. Most of these shouldn’t be more than adding some input checking.