[Quoting Pete] He went on to say in 2019, “Data labeling is a good proxy for whether machine learning is cost effective for a problem. If you can build labeling into normal user activities you track like Facebook, Google and Amazon consumer applications you have a shot. Otherwise, you burn money paying for labeled data. Many people still try to apply machine learning on high profile problems without oxygen, and burn lots of money in the process without solving them.” (Josh Wills responded with, “I want a quote in the book,” and he thusly received.)