• 5 Posts
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Joined 1 year ago
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Cake day: June 12th, 2023

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  • Legislators are there to directly reflect the opinions and interests of their constituents, judges are there to have expert knowledge of the law and how it applies to each case uniquely. The first needs some form of democratic mechanism to ensure that they represent people’s current opinions, the later needs a meritocratic mechanism to ensure they are experts in the correct fields.

    If judges were the only element of a court I would agree that it would be problematic to have no democratic input, but in common law systems at least that element is represented by juries who are the most powerful element of a court case as they are unchallengable arbiters of fact and drawn through sortition which is even more democratic than election.




  • Nope, if you’re working on large arrays of data you can get significant speed ups using well optimised BLAS functions that are vectorised (numpy) which beats out simply written c++ operating on each array element in turn. There’s also Numba which uses LLVM to jit compile a subset of python to get compiled performance, though I didnt go to that in this case.

    You could link the BLAS libraries to c++ but its significantly more work than just importing numpy from python.








  • Humans were the best at weaving until looms came along, humans were the best at welding components together until industrial robots came along. Humans were the best at doing double entry accounting until digital computers came along.

    I just don’t see this current wave of AI of being any different than previous technological advances that became tools better at specific tasks than humans.

    This is one-way, hunans don’t win back ground.

    No they dont they open up new gound as technology increases the range of the possible, as the article talks about

    One critical wild card is how many new jobs will be created by AI even as existing ones disappear. Estimating such job creation is notoriously difficult. But MIT’s David Autor and his collaborators recently calculated that 60% of employment in 2018 was in types of jobs that didn’t exist before 1940.


  • Did you even read the paragraphs I pulled out, not even the article itself?

    Then Compton abruptly switched perspectives, acknowledging that for some workers and communities, “technological unemployment may be a very serious social problem, as in a town whose mill has had to shut down, or in a craft which has been superseded by a new art.”

    His whole point was technology does not reduce the amount of employment as a whole, but it can focus pain on particular communities that get displaced by technology. I just don’t buy into the tech bro singularity cult that AI will grow at an exponential rate and replace everyone, AI will be a tool like any other - extending human capabilities but not replacing them entirely.










  • In Australia a mostly open, sparsely populated, continent sized island with vast amounts of sun wind and hydro, with people mostly gathered in a small band of the coast on one side (and still even then needed 1/3 of total generating capacity backed by fossil fuels).

    It’s great that oz can maybe get away with almost entirely renewable (maybe, that simulation is essentially just multiplying current generation by a large number, adding some storage and saying that mostly takes generation above demand, it doesn’t do any sort of analysis of when where or how that energy is generated or makes its way to the sources of demand), but it’s not a model for the rest of the world.