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Joined 1 year ago
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Cake day: June 16th, 2023

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  • And here we have issues with the many different definitions of AI. Nvidia used machine learning to simulate countless iterations of their chip design to find the best configuration and layout (for the specific goals they set their AI to optimize for). They did not use chatGPT or anything that has textual output. It literally cannot spontaneously develop that ability.

    It is constrained by the bounds that are inherently neccessary to make it function and by the goals it is created to optimize for. It cannot just arbitrarily “choose” to go do something they aren’t pointing it at. It may do things that aren’t intended, but those are “happy accidents” related (again) to the goals it is given to optimize for. Like a delivery AI jumping off a balcony because it’s the fastest way down, since no goal weighting was given to self preservation or damaging the package.

    At the very least, until we have some way to codify the abstract concept of comprehension into a scoring system can be optimized for, none of these things are going to even approach AGI. This is due to the simple reality of how they work under the hood, and don’t for a fucking second believe the charlatans saying that we can’t understand them. We may not be able to discretely track each and every step a model takes in modifying it’s weights or each decision poiny when optimizing for specific output, but that’s a matter of storage space to store each step and drastic speed loss that would occur recording each step. It is not some inherent untracable magic in how they work.

    Computers, even quantum computers, work through billions of discrete traceable steps occurring each second. AI still needs discrete inputs, discrete goal/optimization/math to discern good output from bad, even if we choose not to track each step in between.

    Put as simply as possible: You cannot duct tape infinite speak and spells together to spontaneously create an intelligence, and that is effectively what current AI is doing in ever increasing amounts. We’re brute forcing it by throwing ever increasing amounts of resources at it, with rare and minor improvements in the underlying math occurring at far slower rates. The nvidea chip thing is just improving the ability of chips to do the math we’re already doing for this stuff even faster, so… more brute forcing.

    Edit: Also, nvidea is making more money than they ever have riding this hype train. Of course they’re going to push the idea that absurd leaps of progress are right around the corner, and that their products will get us there. They are the best in the market right now, but anything beyond that is pure conjecture to help drive sales. Their chips are not fundamentally doing anything new, just the same things but more efficiently.




  • There are a bunch of “gimmick” alarm clocks that might help.

    I had this one for a little while that sounded like R2D2 being kept alive while it’s brain was being scrambled. If you didn’t get to it in 10 seconds or so, it would roll off the table and start scurrying around the room. It was annoying enough that my parents returned it, after it was their idea in the first place.

    There was also one where the alarm could only be turned off by a “key” that would take off like one of those pull cord helicopter blade toys when the alarm went off.

    I think there’s also things like big vibrating bass speakers you can strap to a bed frame to try and “shake” someone awake.

    In the end what worked for me was just setting a ton of alarms. Like every 15-30 minutes starting an hour before I actually had to get moving.

    Good luck.








  • except for flooding you with more ads between video recommendations

    That’s literally it. The advertising and marketing teams within Google have politically maneuvered themselves into running the show, and the software/product engineering teams that want to maximize the quality of the system they work on (search, youtube) are overridden by insipid metrics that advertising needs more user interaction with ads.

    They literally have been commanding that things be made more shitty to optimize their malformed metrics. You absolutely can get more people to click the sponsored search results… if you keep making them less distinct from the actual results. And advertising needs those good click through rates nooooow!

    There are email chains documenting this sort of shit going on that have become part of the public record due to various court cases.

    Wonderful article about it all here









  • Common Redist is used for “commonly redistributed” installers of other software the game relies on.

    Like how sometimes when you install a game through steam and it also installs a Microsoft .net framework (because it needs that installed to run). In that case you’d the .net installer in the common redist folder. In this case, all those VCredist files.

    OALinst is just an installer for OpenAL, a piece of audio processing software. A lot of games use it for handling positional audio, like something exploding to your left and behind you actually sounding like it exploded behind and to the left. Some games will also use it for more complicated audio things, like actually simulating sound echoes against the walls of a room and their material.