• 0 Posts
  • 28 Comments
Joined 2 years ago
cake
Cake day: October 15th, 2024

help-circle



  • Logs, breach method, a detailed step-through of specifically how and what happened, methods to guard against this in the future, anything really. We have bullshit machines now that can just make up something plausible in a few moments, but we still don’t have any details.

    Article mentions stolen credentials, and a “previously unknown exploit.” What level were the credentials? Does the employee know how it was leaked? Where’s the CVE?? Is this going to be patched, or is it a feature?

    Without any more data, this is just Company A says “…”, Company B says “…”, and it smells like marketing.



  • I needed something like this back when I lived out in the sticks. Could only get 2g - 3g on Verizon at home, had a DSL line for the desktop, high speed connections were prohibitively expensive. Back in the day you could just walk away and let sites buffer while doing other stuff, but as the rest of the world grew faster, low speed customers got left behind. Everything is set to timeout if it fails to load in a couple minutes.

    Only solution I ever found was to disable JavaScript, force everything to HTML/CSS only where possible, and use a download manager with automatic retry/restart to download any videos I wanted to watch from YouTube or Facebook.



  • Our customers are often what are considered socially “good”, like medical research.

    I feel like this right here is where discussion is breaking down.

    The arguments around data centers are interesting. I think, collectively and socially, we’re hitting a language barrier around it. Like “AI” is a marketing term, language to a standard nontechnical person is fuzzy around AI, LLM, and ML.

    On the surface, I’m pro data center. Astronomy, bio-med, weather prediction, the internet itself, better ML models and more compute has been a net benefit to all of society. But the current rush to build out? The holding companies building these won’t even say explicitly what the data centers are being built for, the news insinuates they’re for LLMs, but the local governments are under NDAs, and the general population aren’t allowed to know anything and have to vote with their gut.

    The opposition groups to data centers are split apart and can’t coordinate well, because they’re focusing on smaller facets of a larger problem. I think the general population has an intrinsic gut feeling that something is wrong, almost like 50 years of unpaid taxes is coming back to fuck everything over, but they don’t have the technical knowledge to put it into a concise reason why they feel the way they feel, and it just comes out as “they’re gonna drain out the entire Mississippi River.”






  • It’s the expected effect of our healthcare industry / our governments sentiment towards it’s own civilian population. Treating people this way ensures maximum profit margin.

    In a similar vein, our EPA recently derated the economic value of a human life to $0.00. Used to be some bogus number like $2.5mil or whatever that the average individual contributes to the GDP over their lifetime. How can you insure an asset that has no value?

    It would not surprise me to see OSHA fully eliminated within the next 6 months, because what’s the purpose of protecting the working force if the economy doesn’t need them?

    Christ almighty, we’ve rotted from the inside out. We don’t have a recognized party that actually cares about people.


  • L7HM77@sh.itjust.workstoAsklemmy@lemmy.ml•Question about AI
    link
    fedilink
    English
    arrow-up
    3
    ·
    6 months ago

    All AI is machine learning. Taking many inputs, running them through a series of tests, and using the result to make a decision. Most everything digital you interact with does this in some form or another.

    ‘AI,’ the marketing fad at the moment, means LLM machine lerning models, which are the ones that can respond in a human-like fashion, but these have limits around the math of linguistics, and there’s other parts built around verifying accuracy of the model output. This type is built on a newish method of training called the transformer model.

    None of these are inherently good or evil. Just another part of a toolset someone could use to solve a problem with a computer. There are social issues around how they are used, and who is making/using them. Tech companies are aggressively pushing their new toy out to market, and there aren’t any consumer protection agencies prepared for this. At enterprise scale, many data centers need to be built, and strain will be added to the electrical generation companies / power generation facilities to feed these data centers.

    My personal gripe with the whole situation is how local governements are handling this. Taxes are being waived for new constructions, electric supply companies are raising residential rates, all the would-be checks and balances are being paid off so this can all be rammed through. Even my local union has sunk us into it, we’re onboarding apprentices faster than we can train them, we’ll have several hundred more members just to maintain these things. Everyone’s being promised “money.”

    All of this is done without any guarantee, no one can say how money will flow from untaxed data centers into the city funds, and all of this demand could evaporate overnight. Companies are being sold a black box that they plug into the wall, and it generates revenue. Everyone’s running skeleton crews, because “AI will eliminate the human workforce,” but all the business reports show that AI isn’t doing much, just that fewer workers are being pushed harder.

    I’m mostly pissed at my union, who will not share any info with us, but have admitted to just seeing short-term dollar signs while knowing that if this works out in favor of the tech companies, this is going fuck up the local economy, and put major pressure against the organized workforce across all trades and sectors.


  • I don’t think these data centers really are for LLMs. Right now, I can go to a dozen websites and use some LLM, without sitting on a wait list, for exactly $0.00 out of my pocket. So there’s obviously enough processing power to meet demand as-is, but… What? Demand will skyrocket when they crank up the fees? OpenAI operated around ~$18 billion in deficit last year, is everyone really gonna pay $200 - $600 per month for this? Plus, LLMs are reaching a plateau, more data doesn’t equal a more coherent model, they’re running into a dead end.

    My local data center is steamrolling over public opinion. We’re not allowed to ask who will own it, how much power it will consume, nothing. “Officially,” the installation has stalled, but they’re still bulldozing the trees to make the lot where its supposed to go.

    My personal conspiracy theory is that this is coming from Palantir, laundering resources through the tech companies, using DoD money. The data centers aren’t for LLMs, but to build out a massive dragnet to track civilian travel, who goes where and when, to be used by DHS. That explains why they need to be distributed geographically per capita, the extreme secrecy around them, and the way utility companies and local politicians keep bending over despite public outcry.