I think better advice would be "invest/save" in general. You could just throw money into a mutual fund, index fund, savings account, whatever. If you get a job with an employer matched 401k, max that out. I don't think you need to worry about trying to play the stock market by buying individual stocks. You'll end up spending way too much time doing it for minimal gains over an index fund, and a lot of the time you're just basically gambling on what companies you think are going to do well.
jon
joined 1 year ago
For IT you could do Computer Science, Information Technology, Computer Engineering, etc. There's a whole lot of angles you could come at it from too. Would you want to maintain systems or develop them?
If databases interest you, you could be a DBA. If networking interests you, a network engineer. If you want to do development, you can focus on front-end development, back-end development, full-stack, embedded systems, and more. Maybe hardware interests you, so you'd like to be a computer engineer. Computers/IT has a lot of components to it, and even if you find yourself a person that likes to bounce between different things, there's a lot here that you can bounce between. School will have you touch a little bit of everything, and you can find that part you want to specialize in.
My advice for picking a degree: pick something that you want to do, but also something marketable. The degree is useless if you can't get a job in it.
If you're worried about college being difficult, it can be, but 95% of your success is going to be based on motivation. I was a TA in college, and the best students were the ones that asked questions, came to office hours, and participated. I saw many a "smart kid" bomb a test due to overconfidence.
If you're not sure what to do, you can start with general education credits or even do the first part of your degree at a community college to save money. A lot of times a 2 year associates degree will serve as the first 2 years of a bachelor's.
Now that I'm in my thirties, I can answer this. Two things come to mind.
First, really should have just done college after high school. I really wasn't looking forward to more school after graduation and wasted about 5 years before going back for my CS degree. I'm in a good place now, but could have had a 5 year head start on life if I'd just gone straight in.
Second, please take better care of your health while you have it. I was skinny as a rail in my early 20s and sort of took that for granted. I'm not obese or anything right now, but as you get older keeping in shape takes conscious upkeep. Get in the habit now and it'll be easier to maintain later. It's harder to lose the weight once you have it rather than keep it off.
Ecosystem is a buzzword that means overly monetized hellscape.
You can't just put anime catgirl in parenthesis and move on like nothing happened!
Taking a picture instantly after would probably create a different hash value. The thing about hashing is that even if one bit is different between source images, the resulting hashes would look entirely different.
I suppose I could conceive of a proprietary hash algorithm that would allow for fuzzy matching of iris photos, but as you said, eyes taken years apart in different conditions wouldn't match the original hash. Or falsely match similar looking eyes. It's not like this system allows them to get high resolution perfectly lit iris photos, after all.
The whole thing sounds dubious, and I suspect AI is mentioned solely to secure investor funding, much like how several years back everything mentioned Blockchain.
Maybe he was visited by 3 ghosts?
Several years ago for April Fools Day, Reddit launched /r/place, which created a canvas where users could place individual pixels every few minutes. Communities would get together to carve out their own little corner of the canvas for a piece of art, and overall the whole thing was pretty well received.
Last year for April Fools Day, they did it again. Overall, once again pretty well received.
Now, since Reddit has pissed everyone off, they're doing it again again, likely in a desperate move to try and generate some positive community interactions. /r/place has always been pretty popular when they've done it before, so this is probably a 'push in case of emergency' attempt to placate users. Predictably, everyone's still mad so they've littered the whole canvas with 'fuck spez' posts.
There needs to be a distinction between "I did my science badly" and "I knowingly published false information". Wakefield's paper linking vaccines and autism faked its data to imply a causal relationship between the two for the purposes of financial gain. You should absolutely be able to sue that guy if his paper damaged you in any way. Fuck 'em.
On the other hand, if you publish a study in earnest, but that study is full of mistakes and comes to an incorrect conclusion, you should not be able to be sued. If the study is bad, it would be easy enough to publish a response pointing out flaws with the original study. This is especially true since so many papers are published with the caveat of "this requires future study to confirm".
In order to sue, you should be required to show some sort of malicious action behind the bad science, such as faked data.
This would be a dangerous precedent. If you disagree with scientific findings, you just conduct your own research to disprove the original study. If companies can sue researchers for publishing claims that damage them, it'll just result in researchers withholding studies in fear a multibillion dollar corporation coming after them. Scientists need to be able to publish their research without fear of retribution.
The only exception I would accept is if someone published knowingly false research, a la Andrew Wakefield.
It's tricky. Depending on what direction you take, CS can be very math heavy or not. If you get into algorithmic stuff, deep learning, data analysis, etc., that has a lot of math. But if you focus on, for example, front end development, there's not that much.
I won't lie and say CS has no math. At my university, you were able to avoid higher level calculus by doing a bachelor's of arts instead of a bachelor's of science. Calculus 2 is usually the highest level you have to take, which focuses primarily on integration. I was kinda in your boat of being hesitant to do CS because of the math, but I ended up minoring in it. The CS-focused math is mostly logic stuff and discrete math, which I feel is way easier than calculus. And honestly, calculus isn't nearly as bad as its reputation would have you think (until Vector Calculus, that almost broke me).
Look into it, but I'll say that while the math is there, it's not as bad as you're probably thinking. And if you know you're not going into heavy algorithmic stuff, see if there's a path that avoids most of it. And once you're out of school, you'll never touch calculus again (unless you do a lot of physics, maybe? Game dev, perhaps?)