AggressivelyPassive

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  • 30 Comments
Joined 1 year ago
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Cake day: June 10th, 2023

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  • I already do vote and try to convince people around me, but here in Germany, the reality is that most people are old and stubborn (average German is 44, average voter even older) and the propaganda of the last decades worked.

    Some still believe in trickle down and neoliberalism, some started believing Russian propaganda and are convinced that only right extremists can rescue us.

    But that’s exactly the situation I’ve described above. You see the ship steaming onto the rocks, but ⅓ of the crew thinks, that’s fine since it worked so far, ⅓ denies the rocks even exist and the last ⅓ is convinced that rocks are actually an opportunity for growth.


  • It’s the lack of perspective. There’s nothing to work or live towards.

    I’m in my early thirties and grew up in the last years of the “it’s getting better” time, but nowadays it’s all gone.

    The political system in all of the West is ossified and unable to solve any of the real problems. Society is dominated by a gerontocracy. The economy is fucked for almost all participants, except the very few at the very top.

    My generation will not have better lives than our parents. And there’s absolutely no hope for it to become better . In fact, it’s likely getting way way worse for most of us.




  • And what is the result? Either you have to check the sources if they really mean what the agent says they do, or you don’t check them meaning the whole thing is useless since they might come up with garbage anyway.

    I think you’re arguing on a different level than I am. I’m not interested in mitigations or workarounds. That’s fine for a specific use case, but I’m talking about the usage in principle. You inherently cannot trust an AI. It does hallucinate. And unless we get the “shroominess” down to an extremely low level, we can’t trust the system with anything important. It will always be just a small tool that needs professional supervision.


  • Even agents suffer from the same problem stated above: you can’t trust them.

    Compare it to a traditional SQL database. If the DB says, that it saved a row or that there are 40 rows in the table, then that’s true. They do have bugs, obviously, but in general you can trust them.

    AI agents don’t have that level of reliability. They’ll happily tell you that the empty database has all the 509 entries you expect them to have. Sure, you can improve reliability, but you won’t get anywhere near the DB example.

    And I think that’s what makes it so hard to extrapolate progress. AI fails miserably at absolute basic tasks and doesn’t even see that it failed. Success seems more chance than science. That’s the opposite of how every technology before worked. Simple problems first, if that’s solved, you push towards the next challenge. AI in contrast is remarkably good at some highly complex tasks, but then fails at basic reasoning a minute later.


  • The problem I see is mainly the divergence between hype and reality now, and a lack of a clear path forward.

    Currently, AI is almost completely unable to work unsupervised. It fucks up constantly and is like a junior employee who sometimes shows up on acid. That’s cool and all, but has relatively little practical use. However, I also don’t see how this will improve over time. With computers or smartphones, you could see relatively early on, what the potential is and the progression was steady and could be somewhat reliably extrapolated. With AI that’s not possible. We have no idea, if the current architectures could hit a wall tomorrow and don’t improve anymore. It could become an asymptotic process, where we need massive increases for marginal gains.

    Those two things combined mean, we currently only have toys, and we don’t know if these will turn into tools anytime soon.




  • Very little substance or conclusions. While technology is improving, you’re not reading into account AI investment is a bubble.

    AI can certainly help, but not a single one was able to consistently deliver good results. A technology that needs constant supervision by an actual expert isn’t really all that useful. And this is not just a problem of scale. It’s a limitation of the current approach. Throwing billions at a problem to save a few millions just isn’t worth it.








  • I think, you completely misunderstand how jobs work for most people.

    Your direct boss most likely can’t fire you directly, but they assign you work. There’s tons of boring, mind numbing work nobody wants to do. Guess who just volunteered for that? Same is true for shift planning. Just assigning you the shitty shifts nobody wants to do is perfectly legal. Even just completely ignoring you as a person is possible, and will grind you down.

    You won’t get a union to go on strike for that. And where is it (legally!) discrimination? Someone has to do the shift, after all!

    You can rave about unions and laws all you want, but being an asshole is not illegal, so if your boss acts like one, there’s nothing you can do.