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"My expertise is devalued, undergrads can reimplement my PhD thesis in 30 minutes 
" is the wrong mindset.
It's actually: "my expertise is being multiplied, I can now achieve dramatically more ambitious milestones while leveraging more enjoyable and productive workflows 
"
"Oh no, better tools! They're helping the kids catch up to me!" vs "Yay, better tools! Can't wait to see how far I can go with them!"
Or...yay new tools. The people who come after me will enjoy an easier, less time consuming path!
Or let myself enjoy how far others can go with the new tools and not only me.
Machine learning is such a big field. How do people manage to keep up. There's new stuff every year that's significantly better than the previous ones. Tech fomo is painful
Abstraction speeds up innovation .. if we were still writing FFT algorithms and not calling y = FFT(x) , a DSP today would cost $50k not 50cents, and it would take 24 days for Alexa to understand how to turn off the porch lights
The same example came to my mind too.
Thanks to you and many contributors, people like me - bad at maths, good at programming - can now provide more to customers. I don't have a PhD, and ... it's ok 
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