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Joined 3 years ago
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Cake day: July 7th, 2023

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  • OMG! It’s almost like constantly raising prices just isn’t working out!

    It doesn’t matter how expensive RAM gets, what the market is doing, how much AI is driving up component prices, or whether the market is bullish or bearish. At some point, consumers reach a breaking point. When a product becomes too expensive, people stop buying it. They don’t particularly care why it’s expensive. They care whether it’s worth the asking price, and whether they can justify spending that much money on it.

    And that’s the problem Sony and Microsoft seem to be running into. Between rising console prices, increasingly expensive games, subscription price hikes, and a growing number of anti-consumer practices, they’ve made gaming an increasingly expensive hobby while giving consumers fewer reasons to feel good about spending their money.

    What’s worse is that these companies have spent years alienating a significant portion of their own fan bases. Aggressive monetization, digital ownership concerns, restrictive ecosystems, and the push toward subscriptions have steadily eroded consumer goodwill. You can only squeeze your customers so much before they start questioning whether they want to remain customers at all.

    At the end of the day, consumers aren’t obligated to buy a PlayStation or an Xbox just because they bought one last generation. They can stick with their existing hardware, buy fewer games, switch platforms, or walk away from gaming altogether.

    You can’t price your way to endless growth, especially when you’re simultaneously giving your customers more reasons not to buy your products. Eventually, the market pushes back. And frankly, it’s hardly surprising that we’re seeing that happen now.


  • The results of the study are not in question, nor am I arguing against them. I am criticizing the sensationalist title being used in this Lemmy post.

    The study does not say that using ChatGPT for 10 minutes erodes your ability to perform hard tasks. You yourself acknowledged this in the information you provided from the study.

    So I guess the question is, what exactly are you arguing against?

    Once again, to reiterate, my complaint is about the misleading clickbait title.

    The vast majority of people who see this post aren’t going to read the study. They’re going to look at the title, nod their heads, and move on. I’m simply trying to provide some context.



  • Of course I’ll be happy to explain, the title of the article states:

    Using Al for just 10 minutes erodes your ability to persist at hard things - Berkeley News

    The findings of the study do not indicate that using an LLM (AI) for ten minutes removes your ability to do hard things. The study showed that it was harder to perform tasks without AI assistance after having access to it. In fact, people who used AI for ten minutes before performing difficult tasks actually performed better than those who did not.

    The ten minutes was simply used as a control so that everyone had the same amount of time with AI. It had nothing to do with the erosion of their ability to perform difficult tasks. The conclusion the researchers drew, which is up for interpretation, was that prolonged AI usage may potentially impair people’s ability to perform harder tasks without assistance.

    The title heavily implies that just ten minutes of AI usage makes difficult tasks harder to perform, which is not what the study showed or concluded. Therefore, the title has been intentionally sensationalized as clickbait. It objectively misrepresents the findings by encouraging a different interpretation and conclusion than what the study actually demonstrated.

    The study itself is interesting, but apparently, the researchers’ findings weren’t sensational enough on their own. The people posting these articles still felt the need to mislead their audiences into drawing a different conclusion from the one the research actually supports.




  • TLDR: LLMs are better information aggregators than Google, which has become a mess of ads and SEO spam. Using AI to complete homework isn’t inherently cheating; homework is practice, not an exam. If schools want to measure independent knowledge, they should use supervised assessments instead of take-home assignments. And if an assignment offers little educational value, perhaps the assignment is the problem, not the tool students use to complete it.

    I think the more important takeaway from this study is that people produce better results when querying LLMs than when using traditional search engines. To me, that points to a problem with conventional search more than it demonstrates a detriment to using LLMs.

    Have you tried Googling anything in recent years? It’s a bloody mess. Google increasingly prioritizes what it wants you to see, and more importantly, what advertisers have paid it to show you. Finding genuinely useful information has become an exercise in digging through sponsored results, SEO spam, and pages that exist primarily to generate ad revenue.

    LLMs, for all their faults, are arguably better information aggregators at this point. That isn’t necessarily a ringing endorsement of AI, considering that they aren’t particularly good at searching either. It just illustrates how bad conventional search has become.

    I wouldn’t interpret using an LLM to complete a task as inherently equivalent to students cheating. I’d argue that LLMs are simply another tool for finding, processing, and synthesizing information. If students can produce better results using those tools, perhaps we should be asking why we’re so determined to prevent them from doing so rather than examining the tools themselves.

    And frankly, you can’t really cheat on homework. It’s homework, not a supervised examination. Students should be able to complete assignments using whatever resources are available to them. If the objective is to determine what students can accomplish independently, then schools should assess that through supervised examinations rather than take-home assignments.

    More importantly, there’s a broader question about whether we’re assigning too much homework in the first place. Research has repeatedly found that its educational benefits depend on factors such as age, workload, and assignment quality. If an assignment provides little educational value beyond producing a completed worksheet, then perhaps the problem isn’t that students are using AI to complete it. Perhaps the assignment itself isn’t worth doing.



  • This article is a perfect example of how legitimate research gets turned into sensationalist nonsense, and the post on Lemmy is making it worse.

    The study involved 1,222 participants across three experiments. Researchers had people use AI to help with math and reading comprehension, then tested them when that assistance was removed. They found that participants were more likely to struggle with accuracy and persistence when they had to work independently.

    That’s an interesting finding. It’s worth discussing.

    But this whole fixation on “just 10 minutes” is ridiculous. Ten minutes of AI use under specific experimental conditions does not mean that ten minutes of ChatGPT permanently damages your brain or destroys your ability to think for yourself. The study did not demonstrate that.

    There’s a pretty significant difference between showing that people can become reliant on assistance and struggle when that assistance is suddenly taken away, and claiming that AI use fundamentally erodes your cognitive abilities. One is an experimental finding. The other is an exaggeration of what that finding actually means.

    And this is where I have a problem with the article and the way it’s being presented on Lemmy. The actual research is interesting enough without having to dress it up in sensationalist headlines. If the point is that people need to struggle with difficult problems to develop their skills, then make that argument. It’s a perfectly reasonable one.

    But “using AI for 10 minutes erodes your ability to persist at hard things” is a hell of a lot more dramatic than what the research actually establishes.

    There’s a difference between reporting scientific findings and manufacturing a narrative around them. We should be capable of discussing the potential downsides of AI without resorting to clickbait and misrepresenting what the research actually says.


  • And Meta can pay billions, continue doing business as usual, recoup the cost relatively quickly, and eventually become immensely profitable again.

    At a certain scale, what you and I consider to be an enormous amount of money can become almost meaningless to a company like that. A multibillion-dollar fine may sound devastating to the average person, but if it represents only a small fraction of the company’s revenue or profits, it is little more than a cost of doing business.

    If you actually want to hurt these companies and create a meaningful deterrent, the penalty has to be tied to their economic scale. Take a percentage of their profits or, in sufficiently serious cases, their revenue. Make the penalty large enough that the company genuinely feels the financial consequences of its behavior.

    Otherwise, you aren’t really punishing them. You’re just irritating them.