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AI engineers cost an absurd amount of money for dubious ROI in the self-driving car space.


That's true in more than just in the self-driving car space. Even at companies like AAPL and AMZN where ML focused researchers/engineers work on production related tasks, I've seen their value production is dubious at best.


[Disclaimer: AAPL engineer, technically classified as ML]

I would argue that ML researchers/engineers have a clear impact on AAPL products in several areas:

* FaceID

* Steadily improving speech recognition accuracy in Siri

* Considerable improvement in speech synthesis quality

* Increasing sophistication in camera image processing


In my experience working on these product teams, most of the real gains are just from solid engineering combined with public advances in ML. The teams filled with ML specific folk aren't able to accomplish much.


Isn't just a classic risk-vs-reward bet for a company like Uber?




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