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Joined 9 months ago
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Cake day: March 3rd, 2024

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  • Current AI/LLMs are just very complex probability matching with some frills to make it work. Our brains may be something like that too, as chemical and electrical signals can be reduced to math. It’s all math.

    What you described before is pathing, and that can be a simple routine or very complicated and breakable, depending on the needs of the game. The really sophisticated ones would even chart the player’s behavior and react or plan a path based on past actions (even on some C-64 games, which is impressive). There was one karate game where (subjectively and not well tested) if you let it run the opening demo or played it a while, the game’s character got better. And it wasn’t just a higher level thing, you could tell (again, just a feeling) that it started to anticipate your usual moves.





  • One of my measures of how good a manager is would be how they come into a room. A good manager (I’ve had a few) will come in and silently assess how things are running (because they’ve already looked up info themselves) or ask specific questions that show they understand the state of things and are there to help if needed.

    Pull the “how are things looking” crap, and the rating drops quickly. And the funny thing is, the ones who do that didn’t actually want to hear the bad news I will eagerly pull up to drown them in. The look on their faces is worth it.

    Basically, I can glean how much a manager knows about an operation by what first comes out of their mouth, and way too often it’s not much that’s useful.






  • Is there a longer video anywhere? Looking closely I have to wonder where the hell did that deer come from? There’s a car up ahead of the Tesla in the same lane, I presume quickly moved back in once it passed the deer? The deer didn’t spook or anything from that car?

    This would have been hard for a human driver to avoid hitting, but I know the issue is the right equipment would have been better than human vision, which should be the goal. And it didn’t detect the impact either since it didn’t stop.

    But I just think it’s peculiar that that deer just literally popped there without any sign of motion.





  • Maybe it’s not the right place for it, but the mentions of AI safety and safety in general don’t pertain to the actual definition of AI safety as used in AI research. No mention of alignment parameters that are needed to be held to. This reads as a “we need to be careful who gets access to this” vs. any warning to AI companies on their direction and haste.



  • You’re right, $23 is what I usually use and rounded, and that’s an old number probably based on my own experience of when the minimum was okay. Looking back, even your range may be too low, as production began to outpace wages in the early 70s, making a comparable matching minimum close to $40.

    In the end it’s about a wage being livable, whatever that needs to be. And it probably shouldn’t be a per hour number, as a company forced to pay per hour an amount can easily just reduce hours, defeating the point. Some sort of universal basic income, so wages become a supplement and not slavery? We have to change somehow.