We could really use a good rubric for when Solving A Problem With An App is and isn't a good idea. A single-shot high volume event like an election is definitely in the *isn't* bucket.
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People dunk on a lot of Line Of Business software. I was at a restaurant where Dinerware crashed and everything fell apart. Some of this stuff is really a productivity improvement. Some of it is risk-shifting onto the consumer. Some is just grift. Tough to tell what's what!
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Also, real talk ... there's just not a lot of money in political software. It's not going to attract the best and brightest, who are either getting people to click on ads, making better phone cameras, moving sales data from Oracle into Excel, or making Excel better.
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Replying to @nbeaudrot
The best people are optimizing internal tools at Google and reducing microsecond latency at hedge funds.
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Replying to @samth
You think so? I think they're probably doing things to improve Windows and Office performance. (and maybe stuff around AWS)
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Replying to @nbeaudrot @samth
I guess they might be optimizing *external* performance (or just Chrome) for Google/Facebook.
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Replying to @nbeaudrot
Really all the best people are transitioning to machine learning, but (a) the best people work on "hard/interesting problems" (b) big tech has way more employees than roles working on things that make money.
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Replying to @samth @nbeaudrot
I don't think that's true. There are a lot of really good people underemployed writing CRUD apps, and a lot of people doing ML who are just copy and pasting TensorFlow recipes.
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(In fact I think the assumption that "all the good people are doing X" where X is the hot area at the moment is what causes a lot of dysfunction in tech hiring)
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