• 1 Post
  • 20 Comments
Joined 3 years ago
cake
Cake day: June 12th, 2023

help-circle






  • Well maybe one person is a little bit more impressed by some pretty pictures than another person. I really don’t see what that has to do with a company like Microsoft putting their money into this? They don’t make songs or movie trailers.

    To me I’m stunned but that’s just me, on top of this we’re only in year like 5 of AI going mainstream, where will it be in 10 years? 20 years?

    This is a common trap a lot of people fall into. See what improvements have been made the last couple of years, who knows where it will end up right? Unfortunately, reality doesn’t work like that. Improvements made in the past don’t guarantee improvements will continue in the future. There are ceilings that can be run into and are hard to break. There can even be hard limits that are impossible to break. There might be good reasons to not further develop promising technologies from the past into the future. There is no such thing as infinite growth.

    Edit:

    Just checked out that song, man that song is shit…

    “My job vanished without lift.” What does that even mean? That’s not even English.

    And that’s just one of the dozens of issues I’ve seen in 30 secs. You are kidding yourself if you think this is the future, that’s one shit future bro.


  • What’s your point?

    Sure that’s the point of venture capital, throwing some money at the wall and see what sticks. You’d expect to have most of them fail, but the one good one makes up for it.

    However in this case it isn’t people throwing some money at startups. It’s large companies like Microsoft throwing trillions into this new tech. And not just the one company looking for a little niche to fill, all of them are all in, flooding the market with random shit.

    Uber and Spotify are maybe not the best examples to use, although they are examples of people throwing away money in hopes of some sort of payoff (even though they both made a small profit recently, but nowhere near digging themselves out of the hole). They are however problematic in the way they operate. Uber’s whole deal is exploiting workers, turning employees into contractors just to exploit them. And also skirting regulations around taxis for the most part. They have been found to be illegal in a lot of civilised countries and had to change the way they do business there, limit their services or not operate in those countries at all. Spotify is music and the music industry is a whole thing I won’t get into.

    The current AI bubble isn’t comparable to venture capital investing in some startups. It’s more comparable to the dotcom bubble, where the industry is perceived to move in a certain direction. Either companies invest heavily and get with the times, or they die. And smart investors put their money in anything with the new tech, since that’s where the money is going to be made. Back then the new tech was the internet, now the new tech is AI. We found out the hard way, it was total BS. The internet wasn’t the infinite money glitch people thought it was and we all paid the price.

    However the scale of that bubble was small as compared to this new AI bubble. And the internet was absolutely a trans-formative technology, changing the way we work and live forever. It’s too early to say if this LLM based “AI” technology will do the same, but I doubt it. The amount of BS thrown around these days is too high. As someone with a somewhat good grasp of how LLMs actually work on a fundamental level, the promised made aren’t backed up by facts. And the amount of money being put into this aren’t near any even optimistic payoff in the future.

    If you want to throw in a simple, over simplified example: This AI boom is more like people throwing money at Theranos than anything else.




  • Thorry84@feddit.nltoSelfhosted@lemmy.worldMy First Homelab
    link
    fedilink
    English
    arrow-up
    2
    ·
    7 months ago

    Just so you know, operating spinning drives this way is a bad idea. If the platters are spinning and the drive tips over, the rotation of the drives resists the movement. This gyroscopic force is enough for the platters to touch the heads which are flying a tiny distance above the platter. Obviously this is a bad thing and will damage the drives.

    A quick fix is to just lay them flat or fix both of them together so they have a more stable base to stand on. Putting it in an enclosure is even better.


  • And then the troubleshooting steps are like reset the app, reset your account and if that doesn’t fix it reinstall Windows. If it still won’t work, buy a new computer.

    It’s terrible, just give me the info I need to figure out the root cause. It’s probably very easy to fix. Instead of the ol’ nuke it from orbit approach.

    And it’s not just on the side of consumers either. More and more people are using docker to run shit and just reset or reinstall whenever an issue pops up. Sure that’s often faster and it might work, but it won’t prevent the issue from returning and you won’t have learned anything. I learned the most from fixing broken shit. It requires you to figure out how it should work and what’s preventing it from working like that. We are making ourselves dumber this way.



  • When my grandpa used to visit every Tuesday, he would join us for dinner, then some coffee after dinner. We would sit on the couch and chat a bit and at some point grandpa would fall asleep. The rest of us just went about our evening, watching some TV, playing a game, just chatting or whatever. After an hour or so, he would wake up, slap his knee, tell us it was a great evening and head home.

    It was actually kind of sweet how that old man would fall asleep. That’s why you don’t fucking elect grandpa to run the country.



  • One thing I’ve also noticed is people doing code reviews using ai to pad their stats or think they are helping out. At best it’s stating the obvious, wasting resources to point out what doesn’t need pointing out. At worst it’s a giant waste of time based on total bullshit the ai made up.

    I kinda understand why people would think LLMs are able to generate and evaluate code. Because they throw simple example problems at them and they solve them without much issue. Sometimes they make obvious mistakes, but these are easily corrected. This makes people think LLMs are basically able to code, if it can solve even some harder example problems, surely they are at least as good as beginner programmers right? No, wrong actually. The reason the LLM can solve the example problem, is because that example (or a variation) was contained within its training data. It knows the answer not by deduction or by reason, it knows the answer by memorization. Once you start actually programming in the real world, it’s nothing like the examples. You need to account for an existing code base, with existing rules, standards and limitations. You need to evaluate which solution out of your toolbox to apply. Need to consider the big picture as well as small details. You need to think of the next guy working with the code, because more often than not, that next guy is you. LLMs crumble in a situation like this, they don’t know about all the unspoken things, they haven’t trained on the code base you are working with.

    There’s a book I’m fond of called Patterns of Enterprise Application Architecture by Martin Fowler. I always used to joke it contained the answer to any problem a software engineer ever comes across. The only trick is to choose the correct answer. LLMs are like this, they have all these patterns memorized and choose which answer best fits the question. But it doesn’t understand why, what the upsides and downsides are for your specific situation. What the implications of the selected answer are going forward. Or why this pattern over another. When the LLM answers you can often prompt it to produce an answer with a completely different pattern applied. In my opinion it’s barely more useful than the book and in many ways much worse.




  • Disagree, if you need a custom big machine made, there are some really good people on AliExpress.

    I have had a couple of customized CNC machines custom built for a fraction of the price it would have cost to have it done over here. Even with the shipping costs it came out cheaper. And the people were really helpful, they use machines like mine all the time so they know their stuff. They offered really good advice and were excited to work with me. It’s a bit butt clenching to fork over a lot of cash and hope a big ass pallet shows up 4 months later, but they’ve come through for me every time. YMMV.

    Temu on the other hand can fuck off. It’s just a scam site like Wish.