How much has changed since 2015. With NLP and ML it used to be so hard to create high-quality datasets. It was a case of rubbish in, rubbish out. Not LLMs have solved that problem. It seems that if you put in a huge amount of data into a big enough model then an emergent ability seems to be the ability to discern the wheat from the chaff. Certainly in the NLP space, the days of crowd sourced datasets seem to be over replaced with few shot learning. So much value has been unlocked.