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This describes 95% of machine learning at FAANG+, unfortunately nobody likes to talk about. Context: I work at a FAANG.



God, and it's such a snooze-fest.

Writing TFX code at Google is like having your soul-sucked through your rear-end! Imagine TF1 with all the broken APIs, but now it's all distributed! Fun.


> ... having your soul-sucked through your rear-end!

I laugh-snorted reading that! I am stealing that phrase.


Probably not the best analogy. Sounds like a good time.


Probably 99%. The people doing next-level stuff are largely being humored so the FAANGs can hire more early 20s grunts who think they're going to be working on ML (they won't be) or even given the time of day by leads on such projects (ditto). You give some famous professor a high-6 or low-7 figure salary in a position where his job is to publish papers--or not, because no one who matters in the company will ever read them--but you get incrementally more effort out of the youngsters who think they've got a chance (and they don't) of working on something more exciting than Jira tickets.

I don't think the FAANGs will ever come up with AGI and I am glad for that. If the private sector gets there first, I am going to "accidentally" die of hypothermia on a hiking trip because I will do anything not to live in their world.




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