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AI has already killed academia as we know it?

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11–20 of 54 posts

Re: AI has already killed academia as we know it?

#11

Flip the classroom, make students learn the material on their own (Using AI or whatever resources they want to use) and then in-classroom time is divided on working on problems (without AI assistance which can be controlled in this environment) and quizzes/exams (again without AI). We don't need lectures anymore, they are an incredibly ineffective way to learn.

I had a chat with my state legislators to streamline education; shift all public school and university funding to libraries staffed by SMEs

Mandate N hours year of and guided group work for under 18s

Mandate N hours for becoming an SME for roles that require such

Break the pipeline from the factory era of linearly pumping out kids who are just smart enough to run the machines

Re: AI has already killed academia as we know it?

#12

How about we embrace the era of the superhuman?

What superhuman? This system will never have a 99.99% accuracy based on its current prediction models and data input, neither is it a targeted to make us superhumans in the first place. It still will need human supervision for corrections and if it doesn't it won't require humans to process further. Humans are not in the central picture of the future of AI.

> This system will never have a 99.99% accuracy

Do humans?

Superman is here. Just missing physical form. That’s coming. 2028.

Re: AI has already killed academia as we know it?

#13
post #12

Earlier quoted context omitted.

What superhuman? This system will never have a 99.99% accuracy based on its current prediction models and data input, neither is it a targeted to make us superhumans in the first place. It still will need human supervision for corrections and if it doesn't it won't require humans to process further. Humans are not in the central picture of the future of AI.

> This system will never have a 99.99% accuracy Do humans? Superman is here. Just missing physical form. That’s coming. 2028.

year of the Linux desktop?

Re: AI has already killed academia as we know it?

#14

Flip the classroom, make students learn the material on their own (Using AI or whatever resources they want to use) and then in-classroom time is divided on working on problems (without AI assistance which can be controlled in this environment) and quizzes/exams (again without AI). We don't need lectures anymore, they are an incredibly ineffective way to learn.

Yep. I've been using AI to teach myself system design and it's been a god send. Was struggling with other courses because I couldn't have it tailored to what I wanted.

Re: AI has already killed academia as we know it?

#15
I'm not as pessimistic about its impact on scientific publishing. Yes, you can churn articles faster, but if people catch you gaming this system to extreme lengths your reputation will take a huge hit. And the system is very transparent and visible, so it'll follow you forever.

Re: AI has already killed academia as we know it?

#16

Solving the paper submission is easy. Just hold frontal interview where the submitter defends their paper. They can't create papers every day and still be knowledgeable about them in depth. We are hurling to a reality where the only noteworthy metric is human to human validation.

With the volume of outputs in today's academia, this is simply not possible. There are conferences with tens of thousands of submitted papers, grants have hundreds of pages, etc.

Re: AI has already killed academia as we know it?

#17
post #15

I'm not as pessimistic about its impact on scientific publishing. Yes, you can churn articles faster, but if people catch you gaming this system to extreme lengths your reputation will take a huge hit. And the system is very transparent and visible, so it'll follow you forever.

> And the system is very transparent and visible

Is that really the case though? It seems like quite a lot of cases get hushed up and swept under the rug.

Re: AI has already killed academia as we know it?

#18
I don’t believe that at all. Maybe it’s killed large lecture classrooms. There’s a lot of other ways to engage students and ensure they’re learning but it involves being more active and actually communicating with them instead of yapping lectures at them and making them write about it. I find most college classes that involved lectures to be a waste, why sit and listen to a teacher summarize a book for an hour? My best experiences were classes with active engagement and producing things in class or bringing them back to class to share discuss and learn.

Re: AI has already killed academia as we know it?

#19

Flip the classroom, make students learn the material on their own (Using AI or whatever resources they want to use) and then in-classroom time is divided on working on problems (without AI assistance which can be controlled in this environment) and quizzes/exams (again without AI). We don't need lectures anymore, they are an incredibly ineffective way to learn.

Lectures have been an incredibly ineffective way to learn forever. Faculty continue to lecture, and we continue to build lecture-style classrooms, further enshrining this poor approach. Active learning works, and yet both faculty and students dislike it. Faculty like to talk and pretend they're teaching, and students like to listen and pretend they're learning.

All to say—I wish it was this easy to change the academy. But it's not.

Re: AI has already killed academia as we know it?

#20
I'm working on my PhD nonetheless. Here was a meditation of mine on the Literature Review that is relevant here:

---

Academic literature (AL) predates the social media (SM) of recent decades. AL identifies and preserves human knowledge across time, space, language, andexperience level.

These implicit "goals" contrast with SM's emphasis on the present moment, colloquial focus, idiomatic word choice, and general disregard for larger context beyond the. Therefore, when engaged in producing AL, a detached mindset seems helpful.

One enters a discourse with people across the ages who were soberly adding to the sum of human knowledge, not pursuing SM "likes", and not regressing to the mean of some Artificial Intelligence corpus. AL seeks to cover the prior art, to honor those who came before, to minimize duplication of effort, and to filter the "novelty" out of ideas by detailing their pedigree.

The writing style of AL targets a reader half a century in the future of unknown gender, nationality, and depth within either the topic or with the English language itself.

Therefore, the writing style needs to favor:

- Simplicity in word choice. Archaic words or definitions, however valid, are not preferred. Two or three shorter words is often easier on that unknown reader.

- Linearity in development. No dramatic tension. Set the ideas in front of the reader and move through them in order.

- Connectedness. The chain of the ideas is obvious as we move from one to the next, so that reiterating to remember the current topic is less necessary.

- Cohesiveness. A paragraph should almost stand on its own, because it contains enough information to make its point even if quoted within another article.

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