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Why so much hate toward AI?

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  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    Because the goal of "AI" is to make the grand majority of us all obsolete. The billion-dollar question AI is trying to solve is "why should we continue to pay wages?".
    That is bad for everyone who isn't part of the owner class. Even if you personally benefit from using it to make yourself more productive/creative/... the data you input can and WILL eventually be used against you.

    If you only self-host and know what you're doing, this might be somewhat different, but it still won't stop the big guys from trying to swallow all the others whole.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    There is no AI.

    What's sold as an expert is actually a delusional graduate.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution?

    Both.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    I can only speak as an artist.

    Because it's entire functionality is based on theft. Companies are stealing the works of ppl and profiting off of it with no payment to the artists who's works its platform is based on.

    You often hear the argument that all artists borrow from others but if I created an anime that is blantantly copying the style of studio Ghibili I'd rightly be sued. On top of that AI is copying so obviously it recreates the watermarks from the original artists.

    Fuck AI

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    AI companies need constantly new training data and straining open infrastructure with high volume requests. While they take everything out of others work they don't give anything back. It's literally asocial behaviour.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    It's easy to deny it's built on stolen content and difficult to prove. And AI companies know this, and have gotten caught stealing shitty drawings from children and buying user data that should've been private

  • AI companies need constantly new training data and straining open infrastructure with high volume requests. While they take everything out of others work they don't give anything back. It's literally asocial behaviour.

    What do you mean, they give open weights models back that anyone can use. Only the proprietary corporate AI is exploitative.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    Karma farming, as everything on any social network, be it centralized or decentralized. I'm not exactly enthusiastic about AI, but I can tell it has its use case (with caution). AI itself is not the problem. Most likely, Corps behind it are (their practices are not always transparent).

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    On top of everything else people mentioned, it's so profoundly stupid to me that AI is being pushed to take my summary of a message and turn it into an email, only for AI to then take those emails and spit out a summary again.

    At that point just let me ditch the formality and send over the summary in the first place.

    But more generally, I don't have an issue with "AI" just generative AI. And I have a huge issue with it being touted as this Oracle of knowledge when it isn't. It's dangerous to view it that way. Right now we're "okay" at differentiating real information from hallucinations, but so many people aren't and it will just get worse as people get complacent and AI gets better at hiding.

    Part of this is the natural evolution of techology and I'm sure the situation will improve, but it's being pushed so hard in the meantime and making the problem worse.

    The first Chat GPT models were kept private for being too dangerous, and they weren't even as "good" as the modern ones. I wish we could go back to those days.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    Wasn't there the same question here yesterday?

  • It's easy to deny it's built on stolen content and difficult to prove. And AI companies know this, and have gotten caught stealing shitty drawings from children and buying user data that should've been private

    It’s honestly ridiculous too. Imagine saying that your whole business model is shooting people, and if you’re not allowed to shoot people then it’ll crash. So when accused of killing people, you go “nu uh” and hide the weapons you did it with, and the legal system is okay with that.

    It’s all so stupid.

  • Wasn't there the same question here yesterday?

    Yes. https://infosec.pub/post/29620772

    Seems someone deleted it, and now we have to discuss the same thing again.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    Especially in coding?

    Actually, that's where they are the least suited. Companies will spend more money on cleaning up bad code bases (not least from a security point of view) than is gained from "vibe coding".

    Audio, art - anything that doesn't need "bit perfect" output is another thing though.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    As several have already explained their questions, I will clarify some points.

    Not all countries consider AI training using copyrighted material as theft. For example, Japan has allowed AI to be trained with copyrighted material since 2019, and it's strange because that country is known for its strict laws in that regard.

    Also, saying that AI can't or won't harm society sells. Although I don't deny the consequences of this technology. But it will only be effective if AI doesn't get better, because then it could be counterproductive.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    My main gripes are more philosophical in nature, but should we automate away certain parts of the human experience? Should we automate art? Should we automate human connections?

    On top of these, there's also the concern of spam. AI is quick enough to flood the internet with low-effort garbage.

  • I''m curious about the strong negative feelings towards AI and LLMs. While I don't defend them, I see their usefulness, especially in coding. Is the backlash due to media narratives about AI replacing software engineers? Or is it the theft of training material without attribution? I want to understand why this topic evokes such emotion and why discussions often focus on negativity rather than control, safety, or advancements.

    My skepticism is because it’s kind of trash for general use. I see great promise in specialized A.I. Stuff like Deepfold or astronomy situations where the telescope data is coming in hot and it would take years for humans to go through it all.

    But I don’t think it should be in everything. Google shouldn’t be sticking LLM summaries at the top. It hallucinates so I need to check the veracity anyway. In medicine, it can help double-check but it can’t be the doctor. It’s just not there yet and might never get there. Progress has kind of stalled.

    So, I don’t “hate” any technology. I hate when people misapply it. To me, it’s (at best) beta software and should not be in production anywhere important. If you want to use it for summarizing Scooby Doo episodes, fine. But it shouldn’t be part of anything we rely on yet.

  • What do you mean, they give open weights models back that anyone can use. Only the proprietary corporate AI is exploitative.

    Cool everyone can use the website they scraped the data from already.

    Also anyone can use open weights models? Even those without beefy systems? Please...

  • Yes. https://infosec.pub/post/29620772

    Seems someone deleted it, and now we have to discuss the same thing again.

    According to modlog it was against Rule#2

  • Especially in coding?

    Actually, that's where they are the least suited. Companies will spend more money on cleaning up bad code bases (not least from a security point of view) than is gained from "vibe coding".

    Audio, art - anything that doesn't need "bit perfect" output is another thing though.

    There's also the issue of people now flooding the internet with AI generated tutorials and documentation, making things even harder. I managed to botch the Linux on my Raspberry Pi so hard I couldn't fix it easily, all thanks to a crappy AI generated tutorial on adding to path that I didn't immediately spot.

    With art, it can't really be controlled enough to be useful for anything much beyond spam machine, but spammers only care about social media clout and/or ad revenue.

  • 528 Stimmen
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    I'm not saying to waste space... but when manufacturers start a pissing match among themselves and say that it's because it's what the customers want, we end up with shit. Why does anyone need a screen that curves around the edge of the phone? What purpose does this serve? Who actually asked for this? I would give up some of my screen area to have forward facing speakers. I want a thicker phone that has better battery life. I also want to be able to swap out my battery. Oh, and I don't want the entire thing encased in glass. If we're so concerned about phone size then they should stop designing them so that a case is required.
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  • Why doesn't Nvidia have more competition?

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    It’s funny how the article asks the question, but completely fails to answer it. About 15 years ago, Nvidia discovered there was a demand for compute in datacenters that could be met with powerful GPU’s, and they were quick to respond to it, and they had the resources to focus on it strongly, because of their huge success and high profitability in the GPU market. AMD also saw the market, and wanted to pursue it, but just over a decade ago where it began to clearly show the high potential for profitability, AMD was near bankrupt, and was very hard pressed to finance developments on GPU and compute in datacenters. AMD really tried the best they could, and was moderately successful from a technology perspective, but Nvidia already had a head start, and the proprietary development system CUDA was already an established standard that was very hard to penetrate. Intel simply fumbled the ball from start to finish. After a decade of trying to push ARM down from having the mobile crown by far, investing billions or actually the equivalent of ARM’s total revenue. They never managed to catch up to ARM despite they had the better production process at the time. This was the main focus of Intel, and Intel believed that GPU would never be more than a niche product. So when intel tried to compete on compute for datacenters, they tried to do it with X86 chips, One of their most bold efforts was to build a monstrosity of a cluster of Celeron chips, which of course performed laughably bad compared to Nvidia! Because as it turns out, the way forward at least for now, is indeed the massively parralel compute capability of a GPU, which Nvidia has refined for decades, only with (inferior) competition from AMD. But despite the lack of competition, Nvidia did not slow down, in fact with increased profits, they only grew bolder in their efforts. Making it even harder to catch up. Now AMD has had more money to compete for a while, and they do have some decent compute units, but Nvidia remains ahead and the CUDA problem is still there, so for AMD to really compete with Nvidia, they have to be better to attract customers. That’s a very tall order against Nvidia that simply seems to never stop progressing. So the only other option for AMD is to sell a bit cheaper. Which I suppose they have to. AMD and Intel were the obvious competitors, everybody else is coming from even further behind. But if I had to make a bet, it would be on Huawei. Huawei has some crazy good developers, and Trump is basically forcing them to figure it out themselves, because he is blocking Huawei and China in general from using both AMD and Nvidia AI chips. And the chips will probably be made by Chinese SMIC, because they are also prevented from using advanced production in the west, most notably TSMC. China will prevail, because it’s become a national project, of both prestige and necessity, and they have a massive talent mass and resources, so nothing can stop it now. IMO USA would clearly have been better off allowing China to use American chips. Now China will soon compete directly on both production and design too.
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    I think the principle could be applied to scan outside of the machine. It is making requests to 127.0.0.1:{port} - effectively using your computer as a "server" in a sort of reverse-SSRF attack. There's no reason it can't make requests to 10.10.10.1:{port} as well. Of course you'd need to guess the netmask of the network address range first, but this isn't that hard. In fact, if you consider that at least as far as the desktop site goes, most people will be browsing the web behind a standard consumer router left on defaults where it will be the first device in the DHCP range (e.g. 192.168.0.1 or 10.10.10.1), which tends to have a web UI on the LAN interface (port 8080, 80 or 443), then you'd only realistically need to scan a few addresses to determine the network address range. If you want to keep noise even lower, using just 192.168.0.1:80 and 192.168.1.1:80 I'd wager would cover 99% of consumer routers. From there you could assume that it's a /24 netmask and scan IPs to your heart's content. You could do top 10 most common ports type scans and go in-depth on anything you get a result on. I haven't tested this, but I don't see why it wouldn't work, when I was testing 13ft.io - a self-hosted 12ft.io paywall remover, an SSRF flaw like this absolutely let you perform any network request to any LAN address in range.
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    Part of the reason I am not advocating for or against the extension or the source. People can judge for themselves. I thought it was funny (not a great idea but definitely an interesting implementation). For the record I use both ublock origin and Firefox, and I also run a pihole at home. I'm just putting out there that it exists.