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People Can’t Memorize Computer Industry Acronyms
Thorry84@feddit.nlto Technology@lemmy.world•MIT report: 95% of generative AI pilots at companies are failingEnglish5·1 month agoLol confirmed both idiot and troll, thanks :)
Thorry84@feddit.nlto Technology@lemmy.world•MIT report: 95% of generative AI pilots at companies are failingEnglish6·1 month agoAll right, we are done here. I’ve tried to engage with you in a fair and honest way. Giving you the benefit of the doubt and trying to respond to the points you are trying to make.
But it appears you are just a troll or an idiot, either way I’m done.
Thorry84@feddit.nlto Technology@lemmy.world•MIT report: 95% of generative AI pilots at companies are failingEnglish8·1 month agoWell 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.
Thorry84@feddit.nlto Technology@lemmy.world•MIT report: 95% of generative AI pilots at companies are failingEnglish5·1 month agoWhat’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.nlto Technology@lemmy.world•MIT report: 95% of generative AI pilots at companies are failingEnglish70·1 month agoNot simply operating at a loss, absolutely dumping their prices giving away their products for almost nothing to gain market share. They are burning money at an impressive rate, just for some imaginary payoff in the future.
I’ve been called out on Lemmy by people I know from a specific Twitch channel, not like a small channel, but not one of those super huge ones. It’s probably because I’m a huge nerd and hang out where the best nerds hang out <3
Thorry84@feddit.nlto Technology@lemmy.world•Techcrunch reports that AI coding tools have "very negative" gross margins. In other words, they are losing money on every user.English471·1 month agoThere is another factor in this which often gets overlooked. A LOT of the money invested right now is for the Nvidia chips and products based around them. As many gamers are painfully aware, these chips devalue very quickly. With the progress of technology moving so fast, what was once a top of the line unit gets outclassed by mid tier hardware within a couple of years. After 5 years it’s usefulness is severely diminished and after 10 years it is hardly worth the energy to run them.
This means the window for return on investment is a lot shorter than usual in tech. For example when creating a software service, there would be an upfront investment for buying the startup that created the software. Then some scaling investment in infrastructure and such. But after that it turns into a steady state where the input of money is a lot lower than revenue from the customer base that was grown. This allows to get returns on investment for many years after that initial investment and growth phase.
With this Ai shit it works a bit different. If you want to train and run the latest models in order to remain competitive in the market, you would need to continually buy the latest hardware from Nvidia. As soon as you start running on older hardware, your product would be left behind and with all the competition out there users would be lost very quickly. It’s very hard to see how the trillions of dollars invested now are ever going to be recovered within the span of five years. Especially in a time where so much companies are dumping their products for very low prices and sometimes even for free.
This bubble has to burst and it is going to be bad. For the people who were around when the dotcom bubble burst, this is going to be much worse than that ever was.
Thorry84@feddit.nlto Technology@beehaw.org•This startup wants to use the Earth as a massive battery5·1 month agoI would think all the incidents with fracking have shown rock not to be as impermeable as one would expect or want. Doing this and not causing huge issues seems very hard to me. And also very situational, which is a big problem pumped hydro has.
Pumped hydro works really well and is just about as efficient as we can realistically do, but you need to have the right circumstances. Like a biggish elevation difference, a place to store enough water at the top and bottom for it to be worth while and a connection in between to pump through and take out the energy in the other direction. Plus close enough to a place that needs the power not to be killed by transport losses.
This thing seems to require the perfect conditions as well, which may prove even harder to find compared to places for pumped hydro.
An LLM cannot be anything other than a bullshit machine. It just guesses at what the next word would likely be. And because it’s trained on source data that contains truths as well as non truths, by chance sometimes what comes out is true. But it doesn’t “know” what is true and what isn’t.
No matter what they try to do, this won’t change. And is one of the main reasons the LLM path will never lead to AGI, although parts of what makes up an LLM could possibly be used inside something that gets to the AGI level.
Thorry84@feddit.nlto Programmer Humor@programming.dev•Coincidentally, FFM peg is also something you can find on the hub14·1 month agoYes? What makes you think I’m not? I’m definitely not some kind of alien, you know wearing a human suit like some sort of second skin. Nah that would be crazy.
Relevant XKCD as required by internet law: https://xkcd.com/1530/
Thorry84@feddit.nlto Programmer Humor@programming.dev•Coincidentally, FFM peg is also something you can find on the hub7·1 month agoYou would have to ask a doctor, don’t take medical advice from the internet.
From what I know it can irritate the skin and can lead to long term issues with the skin like dermatitis. It can also cause blood vessels to rupture under the skin, which is usually not a big issue and will heal. But it can cause some pain and leave a mark when healed and will only heal when it is given time to rest up, which can be hard if one is used to a lot of masturbation. If it isn’t allowed to heal, it can cause more problems. I’m sure there can be more issues, but I don’t know about those.
A lot of the risks of masturbation are myths or exaggerated a lot. Wanking once or twice a day is probably fine. And your body will let you know when you’ve overdone it.
And to add: Poor hygiene is a lot bigger risk than masturbation ever is. Keep your bottoms clean!
Thorry84@feddit.nlto Programmer Humor@programming.dev•Coincidentally, FFM peg is also something you can find on the hub1631·1 month agoPORNHUB
It’s Pornhub, like https://pornhub.com/. One of the biggest (if not the biggest) porn site on the planet, used by millions if not billions. There is nothing wrong with watching porn if you feel like it. What you do in your own home is your own business. Just don’t wank too much, or you are going to have health issues. Which are also totally normal and you should just go talk to your doctor, they will not be surprised or shocked, it is literally their job to deal with stuff like that.
I feel the world is going crazy. Shoving all of this stuff under the carpet isn’t helping anyone and won’t make it go away. Half of the time I can’t understand my young niece and nephew because they speak in this code language, evolving all the time so they can talk about normal stuff young people talk about and stay ahead of the big censor machine. And often it’s censored so poorly, everyone can still read it, like what was the point then?
She did a follow-up on this on a recent Q&A with Adam Savage. She doesn’t use it at all, because her stump is too small. This means she has almost no leverage and strength in the stump. She said she likes the aesthetics but it’s not practical.
Imho she needs something with like a servo assist or something hydraulic. But that means stuff like a power supply, pump, sensor, controller, plumbing etc. It would get messy fast for something that’s on your hand. If it’s more of the hand it could make sense, but the loss of only the little finger probably has almost zero impact on the use of the hand.
Thorry84@feddit.nlto Technology@lemmy.world•Tesla loses Autopilot wrongful death case in $329 million verdictEnglish46·2 months agoI don’t know, most experimental technologies aren’t allowed to be tested in public till they are good and well ready. This whole move fast break often thing seems like a REALLY bad idea for something like cars on public roads.
Thorry84@feddit.nlto Technology@lemmy.world•UK households could face VPN 'ban' after use skyrockets following Online Safety BillEnglish22·2 months agoAnd the war on drugs was extremely effective and didn’t cause any bad things at all!
Thorry84@feddit.nlto Programmer Humor@programming.dev•I wonder if this was made by AI or a shit programmer17·2 months agoNot below average dev necessarily, but when posting code examples on the internet people often try to get a point across. Like how do I solve X? Here is code that solves X perfectly, the rest of the code is total crap, ignore that and focus on the X part. Because it’s just an example, it doesn’t really matter. But when it’s used to train an LLM it’s all just code. It doesn’t know which parts are important and which aren’t.
And this becomes worse when small little bits of code are included in things like tutorials. That means it’s copy pasted all over the place, on forums, social media, stackoverflow etc. So it’s weighted way more heavily. And the part where the tutorial said: “Warning, this code is really bad and insecure, it’s just an example to show this one thing” gets lost in the shuffle.
Same thing when an often used pattern when using a framework gets replaced by new code where the framework does a little bit more so the same pattern isn’t needed anymore. The LLM will just continue with the old pattern, even though there’s often a good reason it got replaced (for example security issues). And if the new and old version aren’t compatible with each other, you are in for a world of hurt trying to use an LLM.
And now with AI slop flooding all of these places where they used to get their data, it just becomes worse and worse.
These are just some of the issues why using an LLM for coding is probably a really bad idea.
I feel it’s a vaguely Australian term?