• 0 Posts
  • 15 Comments
Joined 1 year ago
cake
Cake day: July 5th, 2023

help-circle
  • I know what you mean. I’ve been doing higher level development for a couple decades and only now really getting into embedded stuff the past year or two. I dislike a lot of what C makes necessary when dealing with memory and controlling interrupts to avoid data races.

    I see rust officially supported on newer ARM Cortex processors and that sounds like it would be an awesome environment. But I’m not about to stake these projects with a hobbyist library for the 8-bit AVR processors I’m actually having to use.

    Unfortunately I just have to suck it up and understand how the ECU works at the processor/instruction level and it’s fine until there are better tools (or I get to use better processors).

    ETA: I’ve thought also that most of the avr headers are just register definitions and simple macros, maybe it wouldn’t be so bad to convert them to rust myself? But then it’s my library that’s probably broken lol


  • I didn’t expect to like Balatro as much as I did. I’m a big fan of deck builders but the poker theme was not super compelling to me. But wow, I’ve had a blast with it. Just boils down to a really good set of mechanics and some ridiculous fun builds. I don’t think it will hold my attention as long as like Slay the Spire or Monster Train but it was well worth the price.




  • The original dragons dogma had poor quality of life features and its arguably a large part of the appeal. No fast travel, no multiple saves. If you didn’t like your little ai character you had to advance pretty far to change it (and the same with fast travel, it sort of existed and was a surprisingly cool unique system but you had to get through a lot of the game for it). I’d compare it in a lot of ways to the first dark souls as far as not following gaming industry trends.

    I was hoping dragons dogma 2 was more of the same honestly, I don’t think I care if travel stones can be purchased or whatever. Is it a bad game for those that liked the first one?






  • AI has been a field within computer science since at least the 1950s. It encompasses algorithms for making decisions, which is why so many technologies are labeled this way. “Intelligence” may seem like an odd choice of terminology (some people conflate it with sentience or similar), but general machine intelligence is one goal of this study, and the applications of AI are putative steps to that end.

    Back when those guys started talking about what methods could get us there, things like decision trees, symbolic manipulation, neural nets, were all potential pathways that were on the table. So these get included in the field because that’s where and to what end they were produced.

    Another thing is that intelligence can be narrow in its domain. A character in a video game that needs to move from point A to point B can do so following something like the A* pathfinding algorithm. In the domain of graph traversal/pathfinding, it’s hard to imagine something much more intelligent (or fit to solve the problem) than A* despite being a simple algorithm.

    But yeah, as a marketing term it is kind of silly since most people don’t know what it means. It remains a useful categorization for a broad field of study/research in CS though.