I suggest finding more polite ways to critique a post. Otherwise discussions tend to get boring quickly.
Also, the GP was explicitly describing their perception, not trying to promote it as truth. One interesting response would be "I really think that's false. I wonder how we reached such different conclusions."
2021 $46.75 B
2020 $32.67 B
2019 $24.83 B
2018 $25.37 B
2017 $20.59 B
2016 $12.52 B
2015 $6.21 B
2014 $4.93 B
2013 $2.81 B
2012 $0.54 B
2011 $1.73 B
Which is exactly why some consider it to be a vanity division.
All that brain power devoted to a company nobody (genuinely) respects, and whose sense of vision -- in the current year, 2022 -- teeters between stale and outright delusional.
But hey, if it gets you $300k a year for easy work and resume cred for the kind of job you really want -- go for it.
Agreed. It's all about the application and purpose (and the hubris of some of its practitioners), not the theory (or even the demonstrated effectiveness in certain areas).
When we see these disconnects at "work", on the ground -- in terms of lack of relevance / applicability to what the business actually needs -- they are sometimes quite startling, in fact.
Edit: never mind I found it https://ai.facebook.com/tools/
t. Almost 20 years of leadership positions in adtech.
They are all powered by neural networks