True - eviltoast
  • MsPenguinette@lemmy.blahaj.zone
    link
    fedilink
    arrow-up
    26
    ·
    1 year ago

    I’m very happy to see that the industry has moved away from the blockchain hype. AI/ML hype at least useful even if it is a buzzword for most places

    • ritswd@lemmy.world
      link
      fedilink
      arrow-up
      12
      ·
      1 year ago

      So true.

      With LLMs, I can think of a few realistic and valuable applications even if they don’t successfully deliver on the hype and don’t actually shake the world upside down. With blockchain, I just could never see anything in it. Anyone trying to sell me on its promises would use the exact words people use to sell a scam.

      • nothacking@discuss.tchncs.de
        link
        fedilink
        arrow-up
        14
        ·
        edit-2
        1 year ago

        Blockchain is a great solution to a almost nonexistent problem. If you need a small, public, slow, append only, hard to tamper with database, then it is perfect. 99.9% of the time you want a database that is read-write, fast and private.

        • ritswd@lemmy.world
          link
          fedilink
          arrow-up
          4
          ·
          1 year ago

          My thoughts exactly.

          I was told that except for flying scams under regulatory radars, the thing it’s great at is low-trust business transactions. But like, there are so many application-level ways to reasonably guarantee trust of any kind of transaction for all kinds of business needs, into a private database. I guess it would be an amazing solution if those other simpler ways didn’t exist!

          • nothacking@discuss.tchncs.de
            link
            fedilink
            arrow-up
            3
            ·
            1 year ago

            I personally really like what Monero is doing with blockchain, but in most cases attempts at cryptocurrency (when not outright scams) fail in terms of privacy or performance. Bitcoin (the most popular one) has both of these problems, it is slow, limited to just around 7 transactions per second. Bitcoin also lacks any privacy, with transaction history completely public. Monero has to do a whole lot of work to obfuscate transaction history.

            Currently basically all of these have another scalability problem due to the size of the blockchain constantly getting bigger, with Monero’s strething up to 150GB and growing.

        • ComradeKhoumrag@infosec.pub
          link
          fedilink
          arrow-up
          1
          arrow-down
          1
          ·
          1 year ago

          While applying it where most shitcoins have applied Blockchain, I agree it’s all hype. But Blockchain doesn’t solve a non-existent problem.

          Trusting humans is an inherent security flaw. Blockchain solves that problem. You don’t have to trust banks to not shortsell the housing market with your own money (causing a recession for the entire world) if you could cut humans out of the equation.

          Forget money. Say the data that you want to be able to transact and operate on is health data instead of financial information. You could create a decentralized identity system based on people’s biometric information. From there, you could automate and decentralize governance in general.

          Suggesting Blockchain solves a non-existent problem is like suggesting Lemmy solves a non-existent problem

          • OneCardboardBox@lemmy.sdf.org
            link
            fedilink
            arrow-up
            3
            ·
            edit-2
            1 year ago

            Unrelated to the overall point you’re trying to make, but shorts didn’t cause the '08 recession. They just profited from it. The cause was banks treating mortgage backed securities as if they were an unsinkable asset class.

            Relating things back to your point though, I’m not convinced that blockchains solve this. Take the crypto crash of spring/summer '22: You have a few products (TerraUSD/Luna, CEL token) “generating” yield that everyone (DEFI, CEFI, retail, institutions) piles on top of. Then that base layer of “value” turns out to be a naked emperor and there’s a massive crash when everything based on that system is now backed by nothing. Rigid computerized rules are only as solid as the axioms that underpin them. You can decentralize the interpretation of rules, but somebody can always start with a flawed assumption and then it doesn’t matter how reliable your decentralized system is.

            As long as any asset can be rehypothecated into another, shinier asset, there’s always a risk that the underlying asset is shit. It’s no less true in crypto as in conventional banking.

            • konodas@feddit.de
              link
              fedilink
              arrow-up
              0
              ·
              1 year ago

              He did not claim that shorting caused the 08 crash, or am i missing something?

              According to “the big short”, the reason was that banks gave loans to people who could not really afford them in case of an unexpected drop in the housingmarket (mortage backed, as you say), bundled the loans into packages, went to rating agencies who gave best ratings for the packages, sold them to other institutions and then shorted them when they noticed that the market unexpectedly dropped, knowing people would not be able to pay back the loans in the packages. Which was completely reasonable, just somewhat unethical.

              So, i think you could say it was an error of the rating agencies, as they underestimated the risk of a drop in the housing market when giving out the rating.

              • OneCardboardBox@lemmy.sdf.org
                link
                fedilink
                arrow-up
                1
                ·
                edit-2
                1 year ago

                You don’t have to trust banks to not shortsell the housing market with your own money (causing a recession for the entire world)

                The way I read this, it suggests that banks shorting the housing market with my deposits caused a global recession.

                You’re right about the ratings agencies (as far as I know, also from The Big Short), I was skipping over that for brevity.

          • MsPenguinette@lemmy.blahaj.zone
            link
            fedilink
            arrow-up
            2
            ·
            1 year ago

            Why would health data be something you want decentralized?

            The only possible usecase I can think of for that is someone who has unique info that an emergency room would need. At that point, a medical alert bracelet would be the way to communicate that. Otherwise, I want to know exactly who has my medical information. That’s super sensitive info

            • ComradeKhoumrag@infosec.pub
              link
              fedilink
              arrow-up
              1
              ·
              1 year ago

              Alright it’s early so I’m not structure this so much, but here’s my cypherpunk argument

              So, a decentralized ID system could be implemented by having a microchip implanted in the heart. The measured signals are more unique than your fingerprint, and if someone stole it, they’d have to kill you by ripping it out of your heart.

              But no one can trust a single company or government to make such a chip and not abuse that very rich health data which you can infer emotional states with. So instead a standard is developed so other people can develop the device independently.

              But decentralization goes beyond just manufacturing of the device itself, but also in governance of the data it collects. It doesn’t matter if your data is encrypted on the way to a single corporations servers, they still own the data.

              Furthermore, fully homomorphic encryption could be used to perform operations on encrypted data without ever decrypting it (unless you decrypt it with the keys from your microchip)

              So decentralization and FHE can remove the element of human trust from both monitoring health and establishing an identity system. While being transparent but also keeping your personal information hidden. For me, trusting humans is a security flaw. If that element of trust can be automated away, it should be.

              The problem has always been can you trust the people automating. With Blockchain, you can trust the servers are running the code that’s been agreed upon by the node operators and miners. With FHE, the data processed by the miners stays anonymous, and if you need to display that data say to a doctor, you have the ability to retrieve your encrypted data from a decentralized database (no one wants to manage their own data, like how most people don’t manage their own Lemmy instance)

              Anyone can splinter off and change the code, but if its incompatible they’re isolated on their own network. Kind of like if sublemmy instances content moderation policy is incompatible with others, they get defederated

        • traches@sh.itjust.works
          link
          fedilink
          arrow-up
          3
          ·
          1 year ago

          But does it though? A blockchain is the ultimate zero tolerance policy. Lost your password? Grandma gave the house to a scammer? Too fucking bad

          • democracy1984@lemmy.world
            link
            fedilink
            arrow-up
            0
            arrow-down
            1
            ·
            1 year ago

            Cryptocurrency is basically like digital cash. No one can control how you spend it, or take it away. But you can’t undo transactions without tracking down the recipient, and getting them to give it back. If you don’t trust anyone, cash and crypto are the only real ways to pay for stuff.

            • fubo@lemmy.world
              link
              fedilink
              arrow-up
              2
              ·
              edit-2
              1 year ago

              Cryptocurrency is basically like digital cash.

              Cash doesn’t leave you holding worthless numbers when the founders cut and run.

              Well, it does in some economies, but not the ones that cryptocurrency advocates actually choose to live in. If you live in Menlo Park or Toronto or Phoenix or Dublin, you live in conditions that would not be possible without a stable “real money” economy.

              • democracy1984@lemmy.world
                link
                fedilink
                arrow-up
                1
                ·
                1 year ago

                This is exactly the same thing as cash. If you buy a major currency, like usd, euro, bitcoin, ethereum, etc, then it will be much more stable than some random currency. Would you trust a cash currency that was created by some random dude in an alleyway?

      • Rikudou_Sage@lemmings.world
        link
        fedilink
        arrow-up
        2
        ·
        1 year ago

        We’re currently adding AI support to our platform for email marketing and it’s crazy what can be done. Whole campaigns (including links to products or articles) made entirely by GPT-4 and Stable Diffusion. You just need to proofread it afterwards and it’s done. Takes 15 minutes tops (including the proofreading).

          • Rikudou_Sage@lemmings.world
            link
            fedilink
            arrow-up
            1
            ·
            1 year ago

            Nope, it really takes 15 minutes, you don’t get full access to GPT, you only get to parts, the rest of the prompt is filled by our app.

            • cecinestpasunbot@lemmy.ml
              link
              fedilink
              arrow-up
              3
              ·
              1 year ago

              The funny thing is, I imagine this won’t actually save marketers much time. If campaigns become easier to run I think it’s likely the number of campaigns going after a particular market will increase. That might limit their overall effectiveness. Marketers would then have to work harder to find creative ways to get their audience’s attention.

              • Rikudou_Sage@lemmings.world
                link
                fedilink
                English
                arrow-up
                2
                arrow-down
                1
                ·
                1 year ago

                Well, it’ll save a lot of time that they’ll be spending somewhere else and be more effective. I’ve worked as a dev in a marketing company or two and the backlog is always full, so it’s not like there will be shortage of tasks to work on when one part of the work gets replaced by AI.

    • blue_zephyr@lemmy.world
      link
      fedilink
      arrow-up
      11
      ·
      1 year ago

      Only charlatans were recommending blockchain for everything. It was painfully obvious how inefficiently it solved a non-existent problem.

      • Rufio@lemm.ee
        link
        fedilink
        arrow-up
        8
        ·
        edit-2
        1 year ago

        You could always tell because no one could ever really explain it in simple terms what it does or why it was useful, other than trying to defend NFTs existing and enjoying the volatility of the crypto market (not currency).

        • blue_zephyr@lemmy.world
          link
          fedilink
          arrow-up
          1
          arrow-down
          3
          ·
          1 year ago

          I mean it has it’s uses. You can consider it as a tower made up building blocks. We can write things into the blocks as we build the tower, and every block is inspected by people worldwide to make sure no one’s messing with it’s contents and they can’t be changed after the block has been placed.

          • bric@lemm.ee
            link
            fedilink
            arrow-up
            6
            ·
            1 year ago

            It’s a really cool technology, but the main problem is that letting people around the world inspect and verify just isn’t needed in most use cases. It does a great job at removing the central source of truth, but rarely does anyone explain what the problem with a central source of truth was. Especially when you’re talking about a company setting, startups don’t want to build open source software without a source of truth, they want to be the source of truth

  • where_am_i@sh.itjust.works
    link
    fedilink
    arrow-up
    21
    ·
    edit-2
    1 year ago

    The biggest problem is that even OP is unaware of what is really being skipped: math, stats, optimization & control. And like at a grad level.

    But hey, import AI from HuggingFace, and let’s go!

  • d-RLY?@lemmy.ml
    link
    fedilink
    arrow-up
    10
    arrow-down
    2
    ·
    1 year ago

    This kind of vibe is becoming actually scary from a “no one knows how X actually works, but they are building things that might become problematic later” headspace. I am not saying that everyone needs to know everything. But one really really bad issue I see while fixing people’s PCs is that a shocking amount of high school and college aged folks are really about media creation and/or in comp sci majors. However they come to me with issues that make me question how they are able to function in knowing so many things that all involve computers, but not the computers themselves.

    These next paragraphs are mostly a rant about how the OSes are helping make the issue grow with all users and not just the above. Also more ranting about frustration and concern about no one caring about fundamentals of how the things they make their stuff on function. Feel free to skip and I am marking as a “spoiler” to make things slightly less “wall of text”.

    spoiler

    Some of it is the fault of the OSes all trying to act like smartphone OSes. Which do everything possible to remove the ability to really know where all your actual data is on the device. Just goes on there with a “trust me bro, I know where it is so you don’t need to” vibe. I have unironically had someone really really need a couple of specific files. And their answer to me when I asked if they knew where they might be saved was “on the computer.” Which was mildly funny to see them react when my face led to them saying “which I guess is beyond not helpful.” I eventually convinced him to freaking try signing into OneDrive like I had told him to do while I checked his local drive files. Which turns out it was not on the PC but in fact OneDrive. That was a much more straight forward moment. Microsoft tricking people into creating Microsoft Accounts and further tricking them into letting OneDrive replace “Documents”, “Desktop”, and “Pictures” local folders at setup is a nightmare when trying to help older folks (though even younger folks don’t even notice that they are actually making a Microsoft Account either). Which means if I just pull a drive out of a not booting computer those folders don’t exist in the User’s folder. And if the OneDrive folder is there, the data is mostly just stubs of actual files. Which means they are useless, and can be bad if the person only had a free account and it got too full and there is now data that may be lost due to those folders not “really” being present.

    They know how to use these (to me) really complicated programs and media devices. They know how to automate things in cool ways. Create content or apps that I will just never wrap my mind around. So I am not over here calling them stupid and just “dunking” on them. But they don’t care or just refuse to learn the basic hardware or even basic level troubleshooting (a lot is just a quick Google search away). They know how to create things, but not ask how the stuff that they use to create things works. So what will happen when the folks that know how things work are gone and all people know is how to make things that presuppose that the other things are functioning? All because the only things that get attention are whatever is new and teaching less and less the foundations. Pair that with things being so messed up that “fake it till you make it” is a real and honest mantra and means only fools will give actual credentials on their resumes.

    It is all about getting a title of a job, without knowing a damn thing about what is needed to do the job. It also means so many problems that were solved before are needing to be re-solved as if it was brand new. Or things that were already being done are “innovated” by people with good BS-ing skills in obtuse ways that sound great but just add lots of busy work. To which the next “innovator” just puts things back to before and are seen as “so masterful.” History and knowing how things work currently matter in making real advancements. If a coder just learns to always use functions or blobs of other projects without knowing what is in them. Then they could base basically everything on things that if are abandoned or purged will make their things no longer work.

    Given how quickly “professionals” from so so many industries are just simply relying on these early AI/MLs without question. They don’t verify if the information they got was factually true and can be cited from real sources. Instead of seeing that the results were made from the AI/MLs doing shit they have been taught to do. Which is to try and create things based on the “vibe” of actual data. The image generators are all about the attempts to take random prompts and compare to actual versions of things and make something kind of similar. But the text based ones are treated so differently and taken at a scary level of face value and trusted. And it is getting worse with so many “trusted” media outlets beginning to use these systems to make articles.

    • tronx4002@lemmy.world
      link
      fedilink
      arrow-up
      2
      ·
      edit-2
      1 year ago

      To be fair to the people you are describing, the ecosystem that makes up the whole of software is so large and complex that becoming an expert in even a small area is something that can take years. Sometimes you have to accept that it is better to focus on one area and not try to understand everything. A mechanic doesnt need to know how rubber is made to change a tire.

    • tool@r.rosettast0ned.com
      link
      fedilink
      arrow-up
      3
      ·
      1 year ago

      The worst part of ML is Python package management

      Do you have some time to talk about our Lord and Savior, venv?

      • TeamDman@lemmy.world
        link
        fedilink
        arrow-up
        2
        ·
        1 year ago

        Had to use wsl and manually set environment variables to get accelerate and bitsandbytes to work the other day, why can’t pip install just work? Venv is just another layer that conda should be solving, and even that isn’t enough to overcome Python’s craptastic nature

        • tool@r.rosettast0ned.com
          link
          fedilink
          arrow-up
          1
          ·
          1 year ago

          At that point you may as well go full Vagrant or start using Docker images.

          And no matter how quirky or obtuse venv/conda/pip can be, they will never be as bad as Node. Ever. Node will hold that King Shit crown forever, or at least to God I hope it does.

          Something worse than Node coming around and getting popular might just make me quit IT altogether.

          • TeamDman@lemmy.world
            link
            fedilink
            arrow-up
            1
            ·
            1 year ago

            Interesting, my problems with node are usually in the chaining build systems rather than pulling down dependencies. Tbh I prefer node, what problems have you with it?

            • tool@r.rosettast0ned.com
              link
              fedilink
              arrow-up
              1
              ·
              edit-2
              1 year ago

              Aside from the callback chains and API shit, my issues with Node rest almost entirely on the lack of a standard library, because that led to the state of NPM today, which is just an absolute garbage-fire shitshow as far as I’m concerned.

              I have my own separate issues with NPM, namely its dependency resolution (my God, just take dnf's dependency resolution algorithm and use it), trivial packages that other packages list as a dependency (is this an int? Is this running on Windows? Better take this one line and make it a package!), and the relative inability to remove a package from a registry (did a secret slip in there while testing? Tough shit!). The worst of that being the trivial packages, I think, because then you can end up with projects that can have a dependency tree 10s of thousands packages long.

              And all that bullshit wouldn’t be even 1/16th of the problem it is today if there were a standard library.

              You should take what I’m saying with a grain of salt, though, I’m just a DevOps Sysadmin, and aside from running some software that uses Node, most of my experience with it is unfucking it when our devs come to me to fix the tangled monster they’ve created.

    • Knusper@feddit.de
      link
      fedilink
      arrow-up
      2
      ·
      1 year ago

      Yeah, I feel like Python is partly responsible for most of this meme. It’s easy for very simple scripts and it has lots of ML libraries. But all the stuff in between is made more difficult by the whole ecosystem being focused on scripting…

    • socsa@lemmy.ml
      link
      fedilink
      arrow-up
      1
      ·
      1 year ago

      Nah, it’s pushing inference to prod. Any idiot can make an ipynb to train a model, but packaging everything into an app ecosystem is where you actually need a lot of non-ML software engineering know-how.

      • dadbod@lemmy.world
        link
        fedilink
        arrow-up
        1
        ·
        1 year ago

        So true. I’m on an AI product team. None of the engineers know that much about learning/ai — our expertise is in high availability/scalability/distributed systems.

        The AI part it when a data scientist hands us a notebook and says: implement this algorithm.

      • src@lemmy.ml
        link
        fedilink
        arrow-up
        2
        arrow-down
        1
        ·
        1 year ago

        This is sadly how a lot of Computer Science students think nowadays.

        • Celivalg@iusearchlinux.fyi
          link
          fedilink
          arrow-up
          2
          arrow-down
          3
          ·
          1 year ago

          I think the problem is that they are trying to teach math to generalists where in front of them are students formed to understand programmatical problems.

          Where the problems be restructured to a programatical problem, then it would work far far better.

          Mathematical exercises aim to solve 1 problem with 1 given set of parameters, programatical exercises aim to solve 1 problem with ANY given sets of parameters.

          And that’s what made me loose interest in math during my CS years.

          • MBM@lemmings.world
            link
            fedilink
            arrow-up
            4
            arrow-down
            1
            ·
            1 year ago

            Mathematical exercises aim to solve 1 problem with 1 given set of parameters

            Maybe you just had some really bad teachers, but I couldn’t disagree more. A big part of maths is proving statements that hold very generally (and maybe making it even more abstract, e.g. applying it to anything you can add and multiply instead of just real numbers). It kind of starts when your answers start being formulas instead of numbers but it goes much further

  • lugal@lemmy.one
    link
    fedilink
    arrow-up
    2
    ·
    1 year ago

    Me, implementing a UNO reverse card in assempler

    (It’s a joke, never worked with assempler but I hope I made my point)

  • ParsnipWitch@feddit.de
    link
    fedilink
    arrow-up
    2
    ·
    edit-2
    1 year ago

    Well, it has pretty much always been like this. Everytime a new hype is going around a lot of people jump the bandwagon and try to use shortcuts to get a piece of the supposedly prosperous job market pie. It was like this (still is) with “data science”, before that it was like this with python, before that it was web design, and so on.

    With it, you have a whole industry of content creators churning out ebooks and Youtube channels, Bootcamps which promise “become a xyz in 2/30/90 days”, dubious certificates on online learning platforms and a surge of freelancers on freelance websites.

    Even at universities there are a lot of people who aren’t interested in actually learning anymore. While I do understand, it is quite sad and frankly concerning to watch.

  • WackyTabbacy42069@reddthat.com
    link
    fedilink
    arrow-up
    1
    ·
    1 year ago

    Self taught and haven’t dipped my toes too deeply into those algorithms. That said, I def bought a textbook on data science and machine learning. I’ve been throwing myself at it periodically and still haven’t figured out how to make ChatGPT, or really any useful neural net lol