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i think long term this is the future of ML. it’s like a database. every engineer needs to know when to use one and how. not every engineer needs to be able to write a database


Coincidentally, poor understanding of your tools (especially databases) seems like a huge source of frustration and pain for anyone involved in software development.


you can have a poor understanding of your db and still build a billion dollar company


You _can_ win the lottery too, that statement asserts exactly nothing.


This is already how most ML in production works though. Noone writes their own NN, optimizer or even linear regression and for good reasons.




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