DisWastingMyTime

DisWastingMyTime t1_j6p1t2y wrote

What untill you hear what is the underlying concept of everything ever.

CPU? Thats just bool logic! Differential equations for flight control? My man, that's just a few dxdys faking stable solutions!

What a boring take, every time I've heard it in person it proved to be said by a person who knew very little about the complexities of the topic they're reducing to the "underlying" concepts.

No offense to any of you "sophisticated" fellows

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DisWastingMyTime t1_j47ans8 wrote

Reply to comment by thedabking123 in [D] Bitter lesson 2.0? by Tea_Pearce

In vision/robotics this is already the case, low hardware/liw cost requirements is an incredible seller for automotive industry, so large disgusting models are out.

But we still use deep, if anything it's pretty surprising how much is possible with "shallow" models, for specialized domains, but thats still very far from explainable models

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DisWastingMyTime t1_ivz4eyz wrote

Depends on application, companies in which ML is part of the main product will be more robust, experimental/research/marketing will probably see more issues, data scientists who aren't already operational with proven numbers might take a large hit

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