You missed my claim:

> Machine Learning was NOWHERE NEAR as overused as AI in user-facing communication.

I never said it was as overused. I said we levied the same criticisms (buzz word, implementation detail, bad fit)

Im surprised people dont remember this. Here are some examples:

- Blind post from 2018 stating machine learning is a buzz word with lots of agreement: https://www.teamblind.com/post/is-machine-learning-bullshit-...

- Tech crunch article from 2020 calling machine learning a buzz word and noting how its advertised prominently: https://techcrunch.com/2020/02/25/when-that-ai-company-isnt-...

- Substack article from 2017 challenging tech companies on if they really need ML: https://makecents.substack.com/p/https-medium-com-medhaa-att...

- Article saying 90% of machine learning is just "linear regression in a trench coat" but people are labeling it ML for marketing purposes: https://www.eigenmagic.com/2022/03/22/linear-regression-is-b...

- More blind posts saying ML is overhyped: https://www.teamblind.com/post/is-ml-a-hype-gxtuchm0, https://www.teamblind.com/post/is-machine-learning-overhyped..., https://www.teamblind.com/post/when-will-this-ai-hype-die-8z...

- hackernews thread for article and comments claiming its overhyped, over-applied etc. https://news.ycombinator.com/item?id=27149532

Note that I am NOT arguing ML is useless. It's not useless. I'm saying people made these same criticisms they make against AI: buzz word, implementation detail, often unnecessary.

It's funny to me that people forget this. I agree the AI buzz is more pervasive. But thats a difference in degree and not kind.