[KRAKRISMOTT]

Watson won jeopardy by being an expert system with hand coded knowledge (their NLP parser was written in Prolog) and sophisticated QA text search. It wasn't a pure unsupervised/semi supervised deep learning model so it didn't generalize well to other domains like medicine despite it being hyped as a ML trailblazer.

[nl]

This is complete ignorance of history.

Watson (the quiz winner) was in 2011 before the deep learning revolution (which kicked off in 2014 with AlexNet for image recognition). It was probably the pinnacle of old-style natural language processing.

The success of that led to a set of basically unrelated tools being released under the IBM Watson brand which were mostly failures.

[TheOtherHobbes]

It seems the market for highly customised quiz-winning applications was much smaller than expected.

[nl]

The market for news about quiz-winning applications was much larger than I expected though!

Whose to say which is more important.

[js8]

It remains to be seen how large is the market for search that can subtly and confidently lie to you.

[rbanffy]

ChatGPT could certainly use the ability to come up with correct answers at some point.