☆ Yσɠƚԋσʂ ☆
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52·6 days agoCommunists developing material forces go brrrrrr… :)
which in turns shows that most of the “economy” in the west has no actual value to it
that’s why I quoted the relevant bits :)
I’m sure somebody will do a proper write up in a few days.
Updating individual machines is a long manual process:
The file in question is a CrowdStrike driver located at Windows/System32/Drivers/CrowdStrike/C-00000291*.sys. Once it’s gone, the machine should boot normally and grab a non-broken version of the driver.
Deleting that file on each and every one of your affected systems individually is time-consuming enough, but it’s even more time-consuming for customers using Microsoft’s BitLocker drive encryption to protect data at rest. Before you can delete the file on those systems, you’ll need the recovery key that unlocks those encrypted disks and makes them readable (normally, this process is invisible, because the system can just read the key stored in a physical or virtual TPM module).
sorry, I haven’t looked if there’s a more detailed analysis yet
here’s a good overview of what happened https://www.thestack.technology/crowstrike-null-pointer-blamed-rca/
If by old pirated XP you mean modern Linux then sure.
Indeed, there are legitimate practical uses for machine learning where you need to find patterns in massive amounts of data.
And if it wasn’t AI then it’d be some other insanity like NFTs, the real problem is absolutely the capitalist system that allocates resources in absurd ways.
Right, it’s basically the lowest common denominator. I’d also argue that this phenomenon is present without AI as well. People often copy or remix existing works, in many cases without even consciously realizing it. AI just speeds up the process if anything.
I think the tech does have legitimate uses, and that it will continue improving over time. I’m just pointing out that it’s being massively oversold right now. I actually think it’s better if the bubble bursts early on in the hype cycle, and then people can focus on figuring out how to apply this tech where it actually works well.
That’s already happening actually.
If you bother to RTFA then you’ll see that they mean it’s useless from investor perspective because it uses a lot of energy, and there are limited practical applications for it. AI services that companies like MS and Google are offering are being subsidized by these companies, and they’re subsidizing them because they expect that they will be able to make them profitable somehow going forward. If they can’t then the bubble will burst because investors and shareholders aren’t gonna keep dumping cash into this tech. The hype cycle around AI isn’t new either, we’ve been here many times https://en.wikipedia.org/wiki/AI_winter
Same, I think there are genuinely useful applications for this tech, but it’s far more limited than what’s being marketed. The sooner we get past the hype phase the better, because then we can start focusing on figuring out what this tech is actually good for.
The aspect that’s driving the hype currently is that we don’t know what the plateau is. And people are figuring out ways to improve both accuracy and performance of LLMs, so it’s difficult to say definitively what will be possible in the near future. For example, using a router with a set of LLMs can drastically reduce energy consumption while maintaining quality of the output https://lmsys.org/blog/2024-07-01-routellm/
Another example, is using a consensus model leads to more consistent outputs https://www.wired.com/story/game-theory-can-make-ai-more-correct-and-efficient/
So, it’s possible that some of the more glaring limitations could be addressed, but it’s also possible that we’ll hit a wall because there are inherent problems with the approach. The context issue is one example where you start getting diminishing returns as the model gets bigger.
It’s going to be interesting to watch how this all develops.
looks AI generated to me
you curse the past you for being so selfish
“I have discovered a truly marvelous demonstration of this proposition that this margin is too narrow to contain.” https://www.joh.cam.ac.uk/library/special_collections/early_books/fermat.htm#:~:text=When reviewing his copy of,to fit in the margin
I really hope this ends these idiots once and for all.