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Computer vision as a career

How hard would it be to break into the computer vision industry? It seems like if you can combine the hardware and the software it makes you look more valuable to a company, and that's what computer vision engineers do, right? Can you be somewhere between a basic opencv user and the mathematicians making tensorflow and still make decent money doing this stuff?

Anybody that does cv at work, is it a full time thing or just a part of your job?

!codecels

Thanks

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You need credentialism to break into a meme industry like that. For 99% of tech companies their interest in CV is entirely fictional and you're competing with the project managers' favourite cronies who have basic knowledge to pretend they're working on this shit for the 12-16 months it remains a hot topic. You'd need to already be in the inner circle or have some equivalent to that (degree from a rich snob university, work experience at a snob company like google, or equivalent) in order to have a chance

For the remaining 1% of tech companies they are doing actual work and you'd need to be an actual math wizard to be considered

If you want to make money from tech bubbles you first need to get in as a regular computer toucher loser then hobnob and network until you're in the trusted circle of some powerful executive, at which point you can bullshit your way to free money with a surface-level understanding of whatever the current meme is

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This.

Look at AI people, there's like 200 people max worldwide who know what's going on. Everyone else is just downloading their software and plugging it together like a python dev to cobble together something that appears novel at a surface level enough to appear at one of 1000 minor AI conferences where a bunch of posers jerk each other off about Sam Altman for three days and then give a glowing report about it to some Executive who can barely send emails from his iPhone so they can talk about their progress in the quarterly earnings call

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same went for nfts and bitcoin. same as it ever was

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