/sci/ - Science & Math

>>12267611
He's more of a coder nerd with momentum to turn some of it into a product.

Elon Musk is not neurotypical and also has some complex where he must dominate other people (and his wifes).

Both are far above average productive, but they are different kinds of sperg.

>>11887404
Depends on your goals in life. What do you want that money for - why does the "job market" matter to you?

You can learn tensorflow in 5 months and then get some job that will probably earn you about the same as the job you get right out of your degree. Imho (with emphasis on h), we study to learn. You only go 100 years to live, better learn some pretty math, and fuck some fit girls.

https://youtu.be/wcHQ3IutSJg

Required statement on the ethical value of your CS paper.

Discuss

>>11553967
To be honest I don't think so.
That's because "AI research" a lot of time comes down to trying to being hardware and software together and talk with vendors etc., in practice.

A lot of algorithms and networks and whatnot are there, it's just that it's no feasible to run it on slow energy consuming hardware.

Of course, if you find a billionaire hobbyist who gives you a super-computer and says "hey, build me true general intelligence," then you might end up doing stuff that's not just cog in the machine stuff.
But in practice, I'd say, "machine learning" atm is plaguing oneself tuning a system so that, when hooked to a AAA battery, would not drain it in 5 minutes. Or, on a desktop, is fast enough.
Can be fune if you like to tune shit for a living, though, but it's not "math."

Not like obscure Banach spaces to solve niche differential equations kind of Terry Tao math.

bump 4 future