Readit NewsThey keep doing this with grid storage projects. The number they need to quote is watt-hours. 50MW for how many hours? That’s the only relevant metric.
There's a tendency to think of ML as "not programming," or something other than just plain programming. But as the tooling matures, that'll go away.
(Lisp used to be considered "AI programming," till it became useful in many other contexts.)
In maybe a decade, it might be found in standard libraries of programming languages and on top of things like `Math.abs`, we will have `ML.textToSpeech("Hello world")`, or `ML.isCat(image)`, etc. However, the problem I see with that is that no matter how far we wind the clock forward, we will only be able to put the most simplistic use cases into a library. `ML.isCat()` could be one of those, since most humans will be able to image categorization, it stands to reason that you could put this into a library. However, most industry application involved highly customized ML algorithms that are optimized for a very specific use-case. So there will always be a need for a research team in big companies at least. Maybe smaller companies will try to build their stuff by chaining libraries together.
Tests are what you need to invest in. When you test all of you business use cases in an abstract (perhaps even no-code) way, you are truly independent. You can rewrite the system very quickly, if you had a test-suite that allows for quick iteration (TDD style) and does not depend on implementation details.
Given just the code? Well good luck migrating to another cloud vendor. You will probably introduce one million bugs on the way.
> He began working at McDonald's, earning $4.15 an hour working nearly 40 hours a week, mostly on the weekends. He was quickly promoted to shift manager at the age of 16,
> He enrolled in certification classes sponsored by CompTIA to get his A+ certification, which led to a job as a DSL installation technician for Bell South at the age of 19.
So he worked at McDonalds for 3 years in high school, what does that have to do with anything.
Almost anyone who wasn't born into money did some menial task around high school or college. I worked at UPS as package sorter, now I earn 40 times as much at FAANG.
But that had nothing to do with me working at UPS. I worked there because I liked the extra money on top of what my parents gave me and to me it was like getting paid for gym :D.
If I were your tech agent I'd demand Facebook pay out $75,000 minimum for this specific problem.
I mean if we are talking "mentally capable to achieve that within a decade if the person does nothing else but strive to that goal"... Perhaps.
If we are talking "sit down right now and do it", then it's more like what... 10,000-100,000 people on earth? Which makes for more like 0.0014%?