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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.



  • 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.