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Joined 3 years ago
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Cake day: June 30th, 2023

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  • People are upset at the lack of an episode 9 and 10 to finish the season, and while upset, one is more like to pick up on everything and anything else that could be interpreted as bad. Then one wants to find validation online. So the internet is rife with people upset at the series, picking it apart and complaining about all the details that can be complained about - things that few would have complained about had there been an episode 9 and 10 to resolve at least some of the now highly pressurised cliffhangers.

    Edging is fun until you realise you’re actually not getting any.

    I liked the season and enjoyed every episode, except in some sense the finale. It was good TV, but I felt stressed for most of its duration because they kept drawing it out and I couldn’t imagine how they would manage to resolve all the built-up tension in the time left. When there was about 10 minutes left I began to realise that all these things they were talking about on the screen were unlikely to materialise, but thought that maybe they’d focus it all on a spectacular scene in King’s Landing. All hope left me when it was down to 5.

    I want to complain about how they spent their screen time, but I’d rather there were simply 2 more episodes because I enjoy the pace. Maybe they could have cut the mud fight.











  • If this works, it’s noteworthy. I don’t know if similar results have been achieved before because I don’t follow developments that closely, but I expect that biological computing is going to catch a lot more attention in the near-to-mid-term future. Because of the efficiency and increasingly tight constraints imposed on humans due to environmental pressure, I foresee it eventually eclipse silicon-based computing.

    FinalSpark says its Neuroplatform is capable of learning and processing information

    They sneak that in there as if it’s just a cool little fact, but this should be the real headline. I can’t believe they just left it at that. Deep learning can not be the future of AI, because it doesn’t facilitate continuous learning. Active inference is a term that will probably be thrown about a lot more in the coming months and years, and as evidenced by all kinds of living things around us, wetware architectures are highly suitable for the purpose of instantiating agents doing active inference.