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Joined 1 year ago
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Cake day: June 16th, 2023

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  • Saskatchewan is the birthplace of the NDP (Canada’s social democratic party), universal public healthcare (ever heard of Tommy Douglas?), and historically one of the pillars of the labour movement. It’s now the most conservative province, but still has tons of new immigrants, racial and cultural diversity, good education, and well funded government services. The SK NDP ruled almost continuously from 1971 to 2006.

    SK is much more like midwestern farm states that were formerly pro-labour pro-union hotbeds but are now more moderate or conservative, like Iowa and Wisconsin.





  • As you can see from my original comment, I’m no knee-jerk defender of private sector innovation, but I don’t think I agree with this. I love open source software, but the UI is often clunky and unintuitive, like Gimp or LibreOffice. Even when it’s good, it’s often because it mimics the major commercial software.

    The heuristic I have is, when the end result benefits from communal information sharing, public is hands down better than private. We have an opioid crisis today because privatized proprietary medical research didn’t receive the same scrutiny from the scientific community as public research. Science and secrecy are incompatible.

    But when the end result benefits from a small group of opinionated people getting their way, private can sometimes be better. And good design is more like the latter.




  • I would go further: the idea that great research comes out of the private sector is a myth perpetuated by self-aggrandizing corporate heads. Even most AI research is the result of decades of academic work on cognitive science coming out of universities. (The big exception is transformer technology coming out of Google.) mRNA vaccines are based on publicly funded university research too. All the tech in smartphones like GPS and wifi comes from publicly funded research. The fact is, science works best when it’s open and publicly accountable, which is why things like peer review exist. Privatized knowledge generation is at a disadvantage compared to everyone openly working together.

    The private sector is very good at the consumer facing portion of innovation, like user experience, graphical interfaces, and design. But the core technologies, with rare exception, almost never came out of the Silicon Valley.


  • These are good points. But I wonder if the longer life really comes from it being a general purpose computer per se. The points you make are more about the internet connectivity of the device. You can use a DOS machine in 2023 because it’s almost like an appliance. It works just as well now as a text editor as in the 90s. But an internet connected device has to be supported, and good enough for today’s processor intensive web apps. That general purpose DOS machine, like the first iPad, is never running Discord or Netflix.

    Because they are a soulless profit-maximizing corporation, there will come a time when Apple stops supporting perfectly functioning iPads for no reason, but I’m not sure we’re there yet. The iPads they stopped supporting really do suck from a hardware perspective.


  • I agree the iPad is almost completely useless, but I don’t think comparing it to 13 years before the iPad is useful. My MacBook Air is 11 years old and it’s still great because it’s good enough to run YouTube, all the major websites, office suites, etc. It’s still getting security updates from Apple. I think that’s what 90% of people use a laptop for. A computer two years older than it, on the other hand, might be useless. It’s not really linear. Hopefully, iPads from 5 years ago can last over a decade.




  • Strongly disagree. Trains are nice everywhere in the world. There’s no reason they can’t be nice in the US. Cars are trash. Strip malls are trash. Giant parking lots are trash. The sky high cost of cars is trash. The environmental impact of cars is trash. The danger of cars is trash. Car centric urban planning is trash.

    Self-driving cars are safer… than the most dangerous thing ever. But because cars are inherently so dangerous, they are still more dangerous than just about any other mode of transportation.

    Dreaming is nice, but that’s all self-driving cars are right now. I don’t see why we don’t have better dreams.


  • Conant and Ashby’s good regulator theorem in cybernetics says, “Every good regulator of a system must be a model of that system.”

    The AI needs an accurate model of a human to predict how humans move. Predicting the path of a human is different than predicting the path of other objects. Humans can stand totally motionless, pivot, run across the street at a red light, suddenly stop, fall over from a heart attack, be curled up or splayed out drunk, slip backwards on some ice, etc. And it would be computationally costly, inaccurate, and pointless to model non-humans in these ways.

    I also think trolley problem considerations come into play, but more like normativity in general. The consequences of driving quickly amongst humans is higher than amongst human height trees. I don’t mind if a car drives at a normal speed on a tree lined street, but it should slow down on a street lined with playing children who could jump out at anytime.



  • I agree. I hesitated to cross-post this, but someone suggested I do so on the original post.

    But that shows a structural problem with the user incentives on Lemmy. The norm of discouraging cross-posting itself means that we have a system that actively discourages people from connecting with others. And if we’re actively incentivized to unsubscribe from multiple similar communities, that’s even worse! These are the opposite of the sort of incentives we should have in a healthy and viable social network.