• 41 minutes

    The result has been chaos

    and all the chaos was human fallacy.

    i read the article to see how ai was causing issues and it was all - the people in charge - they spent a whole bit of of money, fired some people, shoved on everyone and no kne knew it was coming. there was no giidance given.

  • I’m a bit stuck at what to do. It’s not going anywhere, but students seem to be worse at communicating from my experience. I don’t want to fall to confirmation bias so I won’t say I know that’s a broad truth, but it’s been my experience.

    I’m hearing a lot of Universities, not just in California, are embracing it. Often policy is just that students have to note the use of AI but then it’s okay as university policies. Professors can still say no in their syllabus, but how long will that be a thing for plus it doesn’t deter from my experience.

    I think we need to do a lot of research into how to ensure reluctant learners can be taught with AI being a thing. I know for a lot of writing heavy classes they have turned to physical writing in the classroom.

    • I actually think it is going to change in the next 3-6 months. Anthropic just filed for IPO, and I believe openAI is gonna do the same soon as well. Being publicly traded comes with mandatory reporting on a lot of stuff they haven’t really shared fully yet, and the profit margins are gonna go under a microscope… except that you can see what’s wrong with the profit margins with the naked eye.

      They’re gonna jack up the prices for LLM usage like crazy in the coming months, and it’s gonna start being a huge paywall to people using it. For students, it’s gonna go from convenient to prohibitively expensive virtually overnight. I think the problem in the educational domain may solve itself.

      • 4 hours

        What about cheaper llms from other locales? It’s hard to imagine the government blocking access writ large, though I’m sure many in this administration salivate at the thought.

        • This isn’t about anyone blocking access like censorship. This is an economic issue. The LLM companies are all hemorrhaging cash, and none of them have a clear or realistic path to profitability.

          • 4 hours

            This is an economic issue

            Agreed.

            and it’s gonna start being a huge paywall to people using it.

            What happens when we can buy access to a Singaporean or French LLM on the cheap as the US monoliths raise this paywall?

        • 4 hours

          Yep, this person did not take DeepSeek into account.

          I wouldn’t put it past them banning it once they see how much it’s kicking their asses though

          • 21 minutes

            It’s not a question of how good or bad the LLM is, it’s a question of watt hours and bandwidth. It takes a certain amount of electricity to run so your prices and profit margins are directly correlated with the price of electricity.

            LLMs run out of data centers with cheap electricity and cheap bandwidth are going to be the cheapest ones on the market. For electricity this would typically be places with cheap renewables nearby like large hydroelectric plants. Bandwidth is a little trickier as there’s not as obvious an indicator of where bandwidth is cheap and plentiful but typically it’s going to be near major population centers. Putting those together there’s probably only a small handful of locations in the world where it’s economically viable to run these data centers.

      • I’ve seen a lot of colleges buying their students subs to one of the major LLM’s. So maybe come new semester that will change but it depends on the timing.

      • I hope you’re right. I have half expected AI to be dealt to students in the way every student gets Office 365.

        I am just nervous is all. Maybe each “Student” profile gets a set number of tokens but you can upgrade to “Student+” for more. I joke but I’m scared.

        • The only company making money on this shit at the moment is Nvidia. That’s it. None of the companies that are actually doing the model development and deployment are making money - they’re hemorrhaging cash, in fact. They have no clear or realistic path to profitability, either.

    • I will say AI has been an accessibility boon for ESL students, who regularly show the most depth in work I’ve seen.

    • Not only is the tech itself trash for what it is being used for, the marketing promotes using it to bypass all of the steps that make a normal process work.

      Vomit out some AI slop and handing it out without any kind of review process bypasses the steps where someone would normally catch human errors or misunderstandings. But since AI is promoted as outputting the final result instantly people aren’t looking at the details and what is why there is so much slop.