The best part about AI is people are shooting themselves in the foot using it at school, where you’re supposed to learn things, and it will make the rest of us not nearly as dependent on a LLM rise to the top. I truly do not understanding cheating in college. If you’re not learning, what’s the fucking point? How well are you going to perform without access to that LLM? Good grades are not the point of college.
Imagine borrowing $200k for an education, and then doing as much work as you can to actually learn the things you’re paying to know and then not being able to get a job
My argument is knowledge is priceless, but education is worthless. Degrees now mean nothing whether AI assisted or not so going into insane debt for no reason is reckless.
depends on your major, and if you were able to get said experience, some are quite difficult to get especially if requires wet lab work and research experience(which isnt neccesary but is highly sought after especially if it was published) in STEMS. if a students gets a psyche or studies degree without the forethought of a graduate schools thats on them, and i hear alot of them whine and become bitter about it. just because you can finish the degree faster, wont lead you to a job.
i followed one person on yotube, asian whiened about his psych major, eventually became bitter and full magat and one of his latest rants is about college. i had cousin get a psyche major but with proper proecedures she got a psyD which is the correct career track, Phd is another but harder to achieve.
I want coders to learn from trusted sources too. How do you authorize a user and store the password (plain text, hash, encrypt)? Do you use MD5 or SHA-256? (Always hash passwords, don’t use MD5)
If you have to encrypt some information, do you use AES or Triple DES ? (never Triple DES)
When authorizing with OAuth, should one send the auth url, client id, client secret, scopes, and redirect url to the client machine? (yes, yes, no, yes, yes)
These are basic questions with answers that are easy to find…and many programmers get them very, very wrong. Mostly out of carelessness, often the question itself doesn’t even pop into their head.
Imagine lacking the curiosity to want to take this once-in-a-lifetime opportunity to learn interesting new things with all the resources at your fingertips. I think the root of the problem is that capitalist society sends students the message that learning is valuable only as a means to make more money. If that’s your view then it makes sense to skip the difficult stuff and just pay for the piece of paper that gives you access to better-paying jobs. Capitalism absolutely doesn’t value having a wiser and more knowledgeable populace, and students pick up on this.
I was one of the people who went to college to learn things, but the more I learn, the more I’m saddened by all the people I went to school with who studied things they didn’t enjoy, didn’t particularly care to get better at, all because they saw it as a way to make money. In optimizing for money, they miss out on learning and fulfillment.
This wasn’t that long ago, but I can only imagine how much heavy GenAI use could intensify that effect
I was one of those people too and the academic environment was honestly depressing. Almost none of the professors actually cared about the topics they taught, only about the ones that were their research subjects, on the topics they taught many were stuck at the state the introductory topics were at when they first graduated themselves (in IT where everything changes much more quickly than that). Many university wide decisions were nonsensical (e.g. teach memory management in OS classes in Java because Java was the language they standardized on for everything due to industry pressure). For Bachelor topics they only wanted to accept topics where you could tell you would basically spend months to write something that would end up in the round filing cabinet once it had served its grading purpose. Questions in larger classes were highly discouraged, even pointing out mistakes in the lecture materials (obvious indisputable ones that shouldn’t hurt anyone’s ego like some typo in the order of digits) got responses that discouraged doing that again.
Universities are being disrupted. Everyone is going to have to rethink their role is society with AI, Universities included.
The best part about AI is people are shooting themselves in the foot using it at school, where you’re supposed to learn things, and it will make the rest of us not nearly as dependent on a LLM rise to the top. I truly do not understanding cheating in college. If you’re not learning, what’s the fucking point? How well are you going to perform without access to that LLM? Good grades are not the point of college.
Imagine borrowing $200k for an education, and then doing as little work as you can to actually learn the things you’re paying to know
Imagine borrowing $200k for an education, and then doing as much work as you can to actually learn the things you’re paying to know and then not being able to get a job
You frame that as if the same can’t happen if you use AI. At least if you actually do the work you have the knowledge and the ability to research.
My argument is knowledge is priceless, but education is worthless. Degrees now mean nothing whether AI assisted or not so going into insane debt for no reason is reckless.
depends on your major, and if you were able to get said experience, some are quite difficult to get especially if requires wet lab work and research experience(which isnt neccesary but is highly sought after especially if it was published) in STEMS. if a students gets a psyche or studies degree without the forethought of a graduate schools thats on them, and i hear alot of them whine and become bitter about it. just because you can finish the degree faster, wont lead you to a job.
i followed one person on yotube, asian whiened about his psych major, eventually became bitter and full magat and one of his latest rants is about college. i had cousin get a psyche major but with proper proecedures she got a psyD which is the correct career track, Phd is another but harder to achieve.
If you’re coding or whatever this is fine. But I would really, really like my doctors and engineers to be educated by other doctors and engineers.
I want coders to learn from trusted sources too. How do you authorize a user and store the password (plain text, hash, encrypt)? Do you use MD5 or SHA-256? (Always hash passwords, don’t use MD5)
If you have to encrypt some information, do you use AES or Triple DES ? (never Triple DES)
When authorizing with OAuth, should one send the auth url, client id, client secret, scopes, and redirect url to the client machine? (yes, yes, no, yes, yes)
These are basic questions with answers that are easy to find…and many programmers get them very, very wrong. Mostly out of carelessness, often the question itself doesn’t even pop into their head.
Relavent XKCD
You have way too much faith in humans.
Imagine lacking the curiosity to want to take this once-in-a-lifetime opportunity to learn interesting new things with all the resources at your fingertips. I think the root of the problem is that capitalist society sends students the message that learning is valuable only as a means to make more money. If that’s your view then it makes sense to skip the difficult stuff and just pay for the piece of paper that gives you access to better-paying jobs. Capitalism absolutely doesn’t value having a wiser and more knowledgeable populace, and students pick up on this.
I was one of the people who went to college to learn things, but the more I learn, the more I’m saddened by all the people I went to school with who studied things they didn’t enjoy, didn’t particularly care to get better at, all because they saw it as a way to make money. In optimizing for money, they miss out on learning and fulfillment.
This wasn’t that long ago, but I can only imagine how much heavy GenAI use could intensify that effect
I was one of those people too and the academic environment was honestly depressing. Almost none of the professors actually cared about the topics they taught, only about the ones that were their research subjects, on the topics they taught many were stuck at the state the introductory topics were at when they first graduated themselves (in IT where everything changes much more quickly than that). Many university wide decisions were nonsensical (e.g. teach memory management in OS classes in Java because Java was the language they standardized on for everything due to industry pressure). For Bachelor topics they only wanted to accept topics where you could tell you would basically spend months to write something that would end up in the round filing cabinet once it had served its grading purpose. Questions in larger classes were highly discouraged, even pointing out mistakes in the lecture materials (obvious indisputable ones that shouldn’t hurt anyone’s ego like some typo in the order of digits) got responses that discouraged doing that again.
I went to college to get the degree so I could check that box on job applications, I already knew most of the material.