Lettuce eat lettuce

Always eat your greens!

  • 10 Posts
  • 635 Comments
Joined 3 years ago
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Cake day: July 12th, 2023

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  • Sure, how and what you ask does make a difference, especially on lower power models. But it’s generally not really significant, like learning how to write more effective prompts takes maybe a few hours of total time? Honestly, probably an hour at most for 95% of people using LLMs in a corporate environment.

    The irony of all this, is that one of the supposed biggest advantages of LLMs is that you can just talk to them with natural language in a conversational format. The more people have to use special rules of conversation, format their prompts in specific ways, take advantage or avoid subtleties of the model’s preferred syntactic style, etc. The more LLMs become a technical tool that can only produce high quality results if you use it in very specific, skilled ways.

    And one of the big risks with LLMs is staff who can recognise bullshit or questionable results being replaced with staff who unquestioningly accept whatever results they get. And people reading an “AI summary” of something and assuming it’s actually accurate.

    That’s exactly the point from people who are making systemic critiques of the “AI” craze. LLMs by their very nature, encourage people to become lazy. I’m not worried about a machine that’s constantly wrong, depending on the application, I can control for that. I am worried about a machine that is almost always right. That’s really dangerous, because it lulls its users into a false sense of confidence and security.

    There’s a saying I heard from an old sys-admin once, “It’s better to be broadly right, than precisely wrong.” Modern LLMs are a perfect example of the latter, they will get 95% of a task correct, but then mess up that last 5%. But it messes up that 5% in a way that is very subtle and convincing, and requires somebody with deep, technical knowledge to catch and mitigate. That fact, combined with how lazy people are incentivized to be when using them, is the deadly combo imo.





  • Capitalism isn’t being “destroyed from the inside” by you offloading grunt work to an agent. If anything, you may be helping justify future cuts of your job by demonstrating that there is less need for you. Your managers will be all too happy to cut half your department and make the remaining people take on all that work because, “AI makes them 5x more productive.” Of course, none of those people will get a 5x pay raise.

    Use it or don’t, it doesn’t make a difference in the long run. This bubble will pop soon anyways and we’ll be on to the next “revolutionary technology.” I suspect it will be quantum computing, I’ve been seeing a significant upswing in news articles and bot traffic about that over the last few months, but who knows.

    If your work is pushing AI hard, use it if you need the job, play the game if you have to, just don’t let yourself be mesmerized by the aggressive marketing hype. Anybody who is pushing the idea that tech workers will be replaced in the next 5-10 years with LLMs is a religious fanatic and should be treated with the appropriate levels of mockery and disdain.

    Also, if you really want to work on taking down Capitalism, organize your labor, and support other movements that do the same.


  • It’s really not for most people. You ask a question, the LLM answers. You ask it to do a task, it does it. Most people are not using these things for anything advanced or technically difficult.

    I work in a big corporate office, if you exclude the IT staff and software devs, here’s a pretty exhaustive list of what everybody else is using LLMs for:

    • Organizing emails.
    • Drafting memos and auto-responses in Teams.
    • Organizing cluttered files.
    • Adding “artwork” to company fliers.
    • Doing web searches.
    • Summarizing emails and Teams messages and creating to-do lists from them.
    • Searching large documents for key terms.

    It’s grunt work, that’s what these things excel at, and that’s how most people use them. That’s fine, but acting like most people are somehow not able to unlock the “true potential” of these LLMs unless they have special training and skills is a marketing ploy to sell overpriced “AI” courses to gullible and ignorant executives and upper managers.

    It’s like those stupid DEI courses that corporations have everybody take so they can “learn to not be problematic.” But all the quizzes are filled with stupid stuff like:

    Your manager, Sarah finishes briefing you and your coworker, Phil on an upcoming project. After she leaves, Phil says to you, “That Sarah sure is a real juicy piece of meat, I’d love to get taste of her!” What should you do? A. High-five Phil and tell him you call dibs on her secretary. B. Tell Phil that his comment was not appropriate, then report it to HR.

    It’s just there to check boxes for compliance and provide an excuse for other companies to charge outrageous prices to tell people that sexually assaulting your coworkers or pulling your eyelids tight and calling yourself “Ching Chong” isn’t appropriate office behavior.

    It’s another way Capitalism poisons and hollows out substantive discussions about topics like systemic racism, multiculturalism, and gender relationships, in favor of standardized quizzes that cost thousands of dollars a year to administer.

    The amount of “AI consultants” and “AI integration” firms that have popped up overnight is staggering. Just like with the crypto/blockchain craze a few years ago, everybody is trying to get rich quick off the hype.


  • People who are vehemently against any form of blockchain technology will be left behind. That may be difficult to hear, and even more difficult to accept, but that is the cold, hard, truth. Blockchain is a tool, and just like any tool it has uses. It can be used inappropriately, and it’s valid to criticize those instances. But if you are plugging your ears and going “Lalala!” when people talk about actual valid use cases, or stubbornly pretending that blockchain has none, **you will be left behind**. You will be like office employees from the 80’s and 90’s who refused to use a computer and then suddenly found themselves without a job. It’s your choice if you use blockchain or not. It’s also every company’s choice to not hire you because of your unwillingness to adapt. If you haven’t learned it yet, this is your warning and your wake-up call: Learn how to use blockchain now, or find a different career. It’s not going away, no matter how much you may *removed* and moan. There will soon be two classes of people, those who learned how to use this emerging technology, and those who refused. Things will be much harder for that second group. I don’t say this to be snarky or smug. I hate blockchain myself, but I also recognize how fucking stupid I’d have to be to refuse to use it. It’s a bitter pill to swallow, but it’s also the truth.

    Ah, there we go, I knew your rhetoric sounded familiar!

    Seriously though, what “skills” are you building by learning how to use LLMs at your corporate job? How to tell a chatbot to do a task for you?

    Sure, if you’re trying to build a local LLM server from scratch, tune a minimalist harness with a RAG and custom skills, optimize context compaction and concurrent token throughput, and integrate all that into existing automation pipelines, that takes some technical skill. But that’s a tiny fraction of people in the corporate world that need to do anything like that.

    I could teach vast majority of corporate workers everything they will ever need to know about using “AI” in a half hour Lunch-N-Learn. There is no skill involved in asking a chatbot to move all your emails about “Project ABC” into a new Outlook folder called, “Project ABC” or asking a chatbot to, “draft a department memo about the new parking policy found in the HR SharePoint site.”

    It’s not the next industrial revolution, it’s not the beginning of the Singularity, it’s not the dawn of a new age of our species. It is merely the latest hype-cycle of Capitalism that exists to siphon wealth from the population up to a handful of ultra wealthy billionaires and megacorps, and artificially prop up a dying economy just a little longer. And long term, we will discover the same thing about LLM use as we are finding out now about electronics in school and the mass proliferation of smart phones: That it stunts people’s critical reasoning, reading comprehension, self-image, and social confidence.



  • I agree with Stallman and others on this sort of thing, it should be illegal for any public institution to use proprietary, corporate software in any capacity.

    Public institutions are supposed to serve and benefit the public good first and foremost. The idea that they can do that equally well or better by partnering with mega-corps who’s only fundamental drive is to generate as much profit as possible for their shareholders, is idiotic.











  • Absolutely correct, Capitalism will incentivize innovation only as long as it’s profitable to do so. Once a company becomes a dominant player in their industry, innovation actually becomes largely unprofitable.

    We can see this play out all the time, this is why industry giants almost never try to outcompete smaller start ups by innovating their products and services, instead, they either crush them out of the market via a bunch of different methods. Or they just buy them out, kill off their IP, or if it’s way better, they just brand it as their own, and usually fire most of the old staff.

    In a Capitalist system, this actually creates a whole new incentive structure where start ups will try to grow as fast as possible with the sole intention of getting bought out by an industry titan, making the founders of the start up filthy rich.


  • We need more apps for linux phones and more userbase.

    This is what killed the Windows phone. Microsoft’s attempt to break into the smartphone space had everything else. Massive user base, huge brand name recognition, deep industry ties for cheap mass production, fantastic hardware, advertising, and a great mobile OS. The dreaded Windows 8 tile system sucked for traditional desktops and laptops, but it was great on a phone screen. I had 2 Windows phones, to this day they are the only Microsoft products that I have anything good to say about.

    But there were no apps available. I mean, sure, they had their own Microsoft apps like a mobile version of their office suite, and there were a handful of other popular apps that devs had ported over like Evernote. But their appstore had almost nothing compared to Apple or Android, and Microsoft never was able to convince devs to port their apps to a third platform.

    Linux is in a much worse initial starting point. ARM-based versions of Linux have always lagged behind the typical x86 versions. That’s changed a little in the last few years due to popular ARM SBCs like the Raspberry Pi, but it’s still not nearly where it would need to be for anybody other than hardcore enthusiasts to adopt.

    No normie is going to be interested in paying $500+ for a phone that has a few hours of battery life, worse performance, far less compatible software, and no compatibility with Apple/Android integrations for things like car play.

    I’ve wanted to switch to a Linux phone for at least 5 years. Every new mobile Linux project that comes up I was following closely, but they all fail in similar ways. Sadly, I think that Google will have to basically kill open Android before we see a really strong push towards a Linux phone that isn’t just a tinkering platform for early adopters and devs.