I think Google internally has a different perception as to the quality of their services vs. the general public and especially tech enthusiasts. Your comment about 'a certain mindset' reminds me that I still[1] have to do exactly that when using Google to try to find anything.
Also, whatever happened to just slapping 'beta' on the product and calling it good to roll out? I'm only half kidding as the issue wasn't that products were labeled 'beta', it's that they seemingly never came out of beta.
[1] Actually even more so today than pre-ML Google since the services now are constantly (incorrectly) deciding that what I'm asking for isn't actually what I want.
Somewhat related. But the way "the average person" enters queries is not how engineers would enter it. The average person already uses somewhat natural language queries that Google answers. While I (and probably others in the tech field) would go for the keywords.
e.g, my wife and family members would enter:
* "Distance from Toronto to vancouver"
* "How old is the universe"
* "What is the capital of Belgium"
I'd enter:
* "Toronto vancouver distance"
* "Universe age"
* "Capital Belgium"
etc.. you get the point. So for those, I think the ChatGPT approach of "ask question in natural language, get natural language response" is actually quite attractive. Provided it's not outright hallucinating the answer
Also, whatever happened to just slapping 'beta' on the product and calling it good to roll out? I'm only half kidding as the issue wasn't that products were labeled 'beta', it's that they seemingly never came out of beta.
[1] Actually even more so today than pre-ML Google since the services now are constantly (incorrectly) deciding that what I'm asking for isn't actually what I want.