• dQw4w9WgXcQ@lemm.ee
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    7 days ago

    I got a christmas card from my company. As a part of the christmas greeting, they promoted AI, something to the extent of “We wish you a merry christmas, much like the growth of AI technologies within our company” or something like that.

    Please no.

  • Zement@feddit.nl
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    6 days ago

    My thermostat hides no brainier features behind an “Ai” subscription. Switching off the heating when the weather will be warm that day doesn’t need Ai… that’s not even machine learning, that’s a simple PID controller.

    • jol@discuss.tchncs.de
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      6 days ago

      I’m so glad I switched to just home assistant and zigbee devices, and my radiators are dumb, so I could replace them with zigbee ones. Fuck making everything “smart” a subscription

      • Zement@feddit.nl
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        6 days ago

        I think I will try ESP-Home, half of my appliances are Tasmota-based now, I just was too lazy to research compatible Thermostats… (Painful hindsight)…

    • frayedpickles@lemmy.cafe
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      6 days ago

      Even the supposed efficiency benefits of the nest basically come down to “if you leave the house and forget to turn the air down, we will do it for you automatically”

      • chiliedogg@lemmy.world
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        7 days ago

        Not as bad as the IR touch screens. They had a IR field protected just above the surface of the screen that would be broken by your finger, such would register a touch at that location.

        Or a fly landing on your screen and walking a few steps could drag a file into the recycle bin.

  • hungryphrog@lemmy.blahaj.zone
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    7 days ago

    But then we wouldn’t have to pay real artists for real art anymore, and we could finally just let them starve to death!

    • Hackworth@lemmy.world
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      7 days ago

      In film school (25 years ago), there was a lot of discussion around whether or not commerce was antithetical to art. I think it’s pretty clear now that it is. As commercial media leans more on AI, I hope the silver lining will be a modern Renaissance of art as (meaningful but unprofitable) creative expression.

      • Sabata@ani.social
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        7 days ago

        If your motives are profit, you can draw furry porn or get a real job.

        • Hackworth@lemmy.world
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          7 days ago

          Eh, I’ve made a decent living making commercials and corpo stuff. But not for lack of trying to get paid for art. For all the money I made working on ~50 short films and a handful of features, I could maybe buy dinner. Just like in the music industry, distributors pocket most of the profit.

          • Sabata@ani.social
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            7 days ago

            Art seems like a side hussle or a hobby not a main job. I can’t think of a faster way to hate your own passion.

            I wanted to work as a programmer but getting a degree tought me I’m too poor to do it as a job as I need 6 more papers and to know the language for longer than it existed to even interview to earn the grind. Having fun building a stupid side project to bother my friends though.

            • AutistoMephisto@lemmy.world
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              7 days ago

              Exactly. I can code and make a simple game app. If it gets some downloads, maybe pulls in a little money, I’m happy. But I’m not gonna produce endless mtx and ad-infested shovelware to make shareholders and investors happy. I also own a 3D printer. I’ve done a few projects with it and I was happy to do them, I’ve even taken commissions to model and print some things, but it’s not my main job as there’s no way I could afford to sit at home and just print things out all month.

              • Sabata@ani.social
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                7 days ago

                My only side hussle worthy skill is fixing computers and I rather swallow a hot soldering iron than meet a stranger and get money involved.

        • randon31415@lemmy.world
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          7 days ago

          Strangely, that is a lot of who is complaining. It was a Faustian bargin: draw furry porn and earn money but never be allowed to use your art in a professional sense ever again.

          Then AI art came and replaced them, so it became loose-loose.

          • Sabata@ani.social
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            7 days ago

            I don’t know where else you could find enough work to sustain yourself other than furry porn and hentai before Ai. Post Ai, even that is gone.

      • ZILtoid1991@lemmy.world
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        7 days ago

        Issue is, that 8 hours people spend in “real” jobs are a big hindrance, and could be spent on doing the art instead, and most of those ghouls now want us to do overtime for the very basics. Worst case scenario, it’ll be a creativity drought, with idea guys taking up the place of real artists by using generative AI. Best case scenario is AI boom totally collapsing, all commercial models become expensive to use. Seeing where the next Trump administration will take us, it’s second gilded age + heavy censorship + potential deregulation around AI.

    • uis@lemm.ee
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      7 days ago

      You are overexaggerating under assumption that there will exist social and economic system based on greed and death threats, which sounds very unreali-- Right, capitalism.

  • Bamboodpanda@lemmy.world
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    7 days ago

    AI is one of the most powerful tools available today, and as a heavy user, I’ve seen firsthand how transformative it can be. However, there’s a trend right now where companies are trying to force AI into everything, assuming they know the best way for you to use it. They’re focused on marketing to those who either aren’t using AI at all or are using it ineffectively, promising solutions that often fall short in practice.

    Here’s the truth: the real magic of AI doesn’t come from adopting prepackaged solutions. It comes when you take the time to develop your own use cases, tailored to the unique problems you want to solve. AI isn’t a one-size-fits-all tool; its strength lies in its adaptability. When you shift your mindset from waiting for a product to deliver results to creatively using AI to tackle your specific challenges, it stops being just another tool and becomes genuinely life-changing.

    So, don’t get caught up in the hype or promises of marketing tags. Start experimenting, learning, and building solutions that work for you. That’s when AI truly reaches its full potential.

    • fine_sandy_bottom@discuss.tchncs.de
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      6 days ago

      I think there’s specific industrial problems for which AI is indeed transformative.

      Just one example that I’m aware of is the AI-accelerated nazca lines survey that revealed many more geoglyphs that we were not previously aware of.

      However, this type of use case just isn’t relevant to most people who’s reliance on LLMs is “write an email to a client saying xyz” or “summarise this email that someone sent to me”.

      • Hexarei@programming.dev
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        6 days ago

        One of my favorite examples is “smart paste”. Got separate address information fields? (City, state, zip etc) Have the user copy the full address, clock “Smart paste”, feed the clipboard to an LLM with a prompt to transform it into the data your form needs. Absolutely game-changing imho.

        Or data ingestion from email - many of my customers get emails from their customers that have instructions in them that someone at the company has to convert into form fields in the app. Instead, we provide an email address (some-company-inbound@ myapp.domain) and we feed the incoming emails into an LLM, ask it to extract any details it can (number of copies, post process, page numbers, etc) and have that auto fill into fields for the customer to review before approving the incoming details.

        So many incredibly powerful use-cases and folks are doing wasteful and pointless things with them.

        • fine_sandy_bottom@discuss.tchncs.de
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          6 days ago

          If I’m brutally honest, I don’t find these use cases very compelling.

          Separate fields for addresses could be easily solved without an LLM. The only reason there isn’t already a common solution is that it just isn’t that much of a problem.

          Data ingestion from email will never be as efficient and accurate as simply having a customer fill out a form directly.

          These things might make someone mildly more efficient at their job, but given the resources required for LLMs is it really worth it?

          • Hexarei@programming.dev
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            6 days ago

            Well, the address one was an example. Smart paste is useful for more than just addresses - Think non-standard data formats where a customer provided janky data and it needs wrangling. Happens often enough and with unique enough data that an LLM is going to be better than a bespoke algo.

            The email one though? We absolutely have dedicated forms, but that doesn’t stop end users from sending emails to our customer anyway - The email ingestion via LLM is so our customer can just have their front desk folks forward the email in and have it make a best guess to save some time. When the customer is a huge shop that handles thousands of incoming jobs per day, the small value adds here and there add up to quite the savings for them (and thus, value we offer).

            Given we run the LLMs on low power machines in-house … Yeah they’re worth it.

            • fine_sandy_bottom@discuss.tchncs.de
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              6 days ago

              Yeah, still not convinced.

              I work in a field which is not dissimilar. Teaching customers to email you their requirements so your LLM can have a go at filling out the form just seems ludicrous to me.

              Additionally, the models you’re using require stupid amounts of power to produce so that you can run them on low power machines.

              Anyhow, neither of us is going to change our minds without actual data which neither of us have. Who knows, a decade from now I might be forwarding client emails to an LLM so it can fill out a form for me, at which time I’ll know I was wrong.

      • AnarchistArtificer@slrpnk.net
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        6 days ago

        That’s really neat, thanks for sharing that example.

        In my field (biochemistry), there are also quite a few truly awesome use cases for LLMs and other machine learning stuff, but I have been dismayed by how the hype train on AI stuff has been working. Mainly, I just worry that the overhyped nonsense will drown out the legitimately useful stuff, and that the useful stuff may struggle to get coverage/funding once the hype has burnt everyone out.

        • fine_sandy_bottom@discuss.tchncs.de
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          6 days ago

          I suspect that this is “grumpy old man” type thinking, but my concern is the loss of fundamental skills.

          As an example, like many other people I’ve spent the last few decades developing written communication skills, emailing clients regarding complex topics. Communication requires not only an understanding of the subject, but an understanding of the recipient’s circumstances, and the likelihood of the thoughts and actions that may arise as a result.

          Over the last year or so I’ve noticed my assistants using LLMs to draft emails with deleterious results. This use in many cases reduces my thinking feeling experienced and trained assistant to an automaton regurgitating words from publicly available references. The usual response to this concern is that my assistants are using the tool incorrectly, which is certainly the case, but my argument is that the use of the tool precludes the expenditure of the requisite time and effort to really learn.

          Perhaps this is a kind of circular argument, like why do kids need to learn handwriting when nothing needs to be handwritten.

          It does seem as though we’re on a trajectory towards stupider professional services though, where my bot emails your bot who replies and after n iterations maybe they’ve figured it out.

          • AnarchistArtificer@slrpnk.net
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            6 days ago

            Oh yeah, I’m pretty worried about that from what I’ve seen in biochemistry undergraduate students. I was already concerned about how little structured support in writing science students receive, and I’m seeing a lot of over reliance on chatGPT.

            With emails and the like, I find that I struggle with the pressure of a blank page/screen, so rewriting a mediocre draft is immensely helpful, but that strategy is only viable if you’re prepared to go in and do some heavy editing. If it were a case of people honing their editing skills, then that might not be so bad, but I have been seeing lots of output that has the unmistakable chatGPT tone.

            In short, I think it is definitely “grumpy old man” thinking, but that doesn’t mean it’s not valid (I say this as someone who is probably too young to be a grumpy old crone yet)

    • stringere@sh.itjust.works
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      7 days ago

      I think of AI like I do apps: every company thinks they need an app now instead of just a website. They don’t, but they’ll sure as hell pay someone to develop an app that serves as a walled garden front end for their website. Most companies don’t need AI for anything, and as you said: they are shoehorning it in anywhere they can without regard to whether it is effective or not.

  • ozoned@lemmy.world
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    6 days ago

    Containerize everything!

    Crypto everything!

    NFT everything!

    Metaverse everything!

    This too shall pass.

    • SuspiciousUser@lemmy.ml
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      5 days ago

      Put a curved screen on everything, microwave your thanksgiving turkey, put EVERYTHING including hot dogs, ham, and olives in gelatin. Only useful things will have AI in them in the future and I have a hard time convincing the hardcore anti-ai crowd of that.

      • CarrotsHaveEars@lemmy.ml
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        6 days ago

        Docker is only useful in that many scenarios. Nowadays people make basic binaries like tar into a container, stating that it’s a platform agnostic solution. Sometimes some people are just incompetent and only know docker pull as the only solution.

        • Mio@feddit.nu
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          6 days ago

          Docker have many benefits - container meaning it can be more secure, easy to update and something that many overlook - a dockerfile with detailed intrusions on how to install that actually works if the container works - useful when wiki is not updated.

          Another benefit is that the application owner can change infrastructure used without the user actually need to care. Example - Pihole v5 is backend dns + lighthttp for web + php in one single container. In version v6(beta) they have removed lighthttp and php and built in functionality into the core service. In my tests it went from 100 MB ram usage to 20 MB. They also changed the base from debian to alpine and the image size shrink a lot.

          Next benefit - I am moving from x86 to arm for my home server. Docker itself will figure out what is the right architecture and pull that image.

          Sure - Ansible exist as one attempt to combat the problem of installation instructions but is not as popular and thus the community is smaller. They may leave you in a bad state(it is not like containers were you can delete and start over fresh easily) Then we have VM:s - but IMO they waste to many resources.

      • tetris11@lemmy.ml
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        6 days ago

        LXC – natively containerize an application (or multiple)

        systemd-run – can natively limit CPU shares and RAM usage

      • stinky@redlemmy.com
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        6 days ago

        I think the complaint is that apps are being designed with containerization in mind when they don’t need it

        • azertyfun@sh.itjust.works
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          6 days ago

          Any examples spring to mind? I’ve built apps that are only distributed as containers (because for their specific purpose it made sense and I am also the operator of the service), but if ya don’t want to run it in a container… just follow the Dockerfile’s “instructions” to package the app yourself? I’m sure I could come up with a contrived example where that would be impractical, but in almost every case a container app is just a basic install script written for a standard distro and therefore easily translatable to something else.

          FOSS developers don’t owe you a pre-packaged .deb. If you think distributing one would be useful, read up on debhelper. But as someone who’s done both, Dockerfile is certainly much easier than debhelper. So “don’t need it” is a statement that only favors native packaging from the user’s perspective, not the maintainer. Can’t really fault a FOSS developer for doing the bare minimum when packaging an app.

          • stinky@redlemmy.com
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            6 days ago

            also! it’s worth noting that not all FOSS developers are debian (or even linux) devs. Developers of open source projects including .Net Core don’t “owe” us packaging of any kind but the topic here is unnecessary containerization, not a social contract to provide it.

          • stinky@redlemmy.com
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            I am not the person who posted the original comment so this is speculation, but when they criticized “containerizing everything” I suspect they meant “Yes client, I can build that app for you, and even though your app doesn’t need it I’m going to spend additional time containerizing it so that I can bill you more” but again you’d have to ask them.

          • stinky@redlemmy.com
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            6 days ago

            “Yes, client! I can build that app for you! I’m going to bill you these extra items for containerization so I can get paid more”

      • BigDanishGuy@sh.itjust.works
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        6 days ago

        You forgot the phase immediately preceding AI: 3d prints.

        I mean, in this decade, I’ve heard of car and airplanes being marketed as having 3d printed parts.

        • IMALlama@lemmy.world
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          Cars and airplanes do have 3D printed parts. They’re much more common in the prototyping phase, but they are used in production and are making their way to space.

          I completely agree with your general sentiment though. Any time a new piece of technology shows promise there are a ton of people who will loudly proclame that it will completely replace <old and busted technology> in <a massive amount of areas> while turning a blind eye to things like scaling and/or practical limitations.

          See also: low/no code, which has roots going back to the 1980s at least.

  • WoodScientist@lemmy.world
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    7 days ago

    At this point, I’m full on ready to make “though shall not make a machine in the likeness of a human mind” global international law and a religious commandment. At least that way, we can burn all AI grifters as witches!

  • rational_lib@lemmy.world
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    7 days ago

    I think we’re running out of advancements that make life better, now all technology does is make production cheaper/increase shareholder value.

    • astralala@lemm.ee
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      6 days ago

      I just moved. The number of companies where I had to argue with an AI phone system that refused to let me speak to an actual person in the past month is more than 10. I’m sure that made costs cheaper, but I know that made their value go down to me.

  • Realitaetsverlust@lemmy.zip
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    6 days ago

    I think AI is a great tool if used properly. However, it should be a background tool. The second you advertise it to the end consumer, it’s going to be dogshit.

    If someone asks me to build a sort-function for their table, I’m not gonna write an email: “Yes and I actually used radix sort for the table contents which makes it extremely fast and performant!!!”. I’m writing: “Done”.

    The end consumer doesn’t give a shit how it works, as long as it works.

    • lunarul@lemmy.world
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      5 days ago

      They’re not advertising to existing consumers, they’re trying to attract new ones. If someone is shopping around for sort functions and yours says it uses radix to make it faster and more performant, then it’s likely going to be a good selling point. Similarly, they put “we use AI, so you know it’s good” on everything because they think that’s also a good selling point.