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  • Let the A.I work or not?

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    you know what I’m talking about But I literally don't. Well, I didn't but now I mostly do, since you explained it. I get what you're saying with regards to the isolation, this issue has already been raised when many left-wing people started to leave Twitter. But it is opening a whole new can of worms - these profiles that post AI-generated content are largely not managed by ordinary people with their private agendas (sharing neat stuff, political agitation, etc.), but by bots, and are also massively followed and supported by other bot profiles. Much the same on Twitter with its hordes of right-wing troll profiles, and as I'm still somewhat active on reddit I also notice blatant manipluation there as well (my country had elections a few weeks ago and the flood of new profiles less than one week old spamming idiotic propaganda and insults was too obvious). It's not organic online behaviour and it can't really be fought by organic behaviour, especially when the big social media platforms give up the tools to fight it (relaxing their moderation standards, removing fact-checking, etc.). Lemmy and Mastodon etc. are based on the idea(l) that this corporate-controlled area is not the only space where meaningful activity can happen. So that's one side of the story, AI is not something happening in a vacuum and that you just have to submit to your own will. The other side of the story, the actual abilities of AI, have already been discussed, we've seen sufficiently that it's not that good at helping people form more solidly developed and truth-based stances. Maybe it could be used to spread the sort of mass-produced manipulative bullshit that is already used by the right, but I can't honestly support such stuff. In this regard, we can doubt whether there is any ground to win for the left (would the left's possible audience actually eat it up), and if yes, whether it is worth it (basing your political appeal on bullshit can bite you in the ass down the line). As for the comparison to discourse around immigrants, again I still don't fully understand the point other than on the most surface level (the media is guiding people what to think, duh).
  • 133 Stimmen
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    glizzyguzzler@lemmy.blahaj.zoneG
    Indeed I did not, we’re at a stalemate because you and I do not believe what the other is saying! So we can’t move anywhere since it’s two walls. Buuuut Tim Apple got my back for once, just saw this now!: https://lemmy.blahaj.zone/post/27197259 I’ll leave it at that, as thanks to that white paper I win! Yay internet points!
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    douglasg14b@lemmy.worldD
    Did I say that it did? No? Then why the rhetorical question for something that I never stated? Now that we're past that, I'm not sure if I think it's okay, but I at least recognize that it's normalized within society. And has been for like 70+ years now. The problem happens with how the data is used, and particularly abused. If you walk into my store, you expect that I am monitoring you. You expect that you are on camera and that your shopping patterns, like all foot traffic, are probably being analyzed and aggregated. What you buy is tracked, at least in aggregate, by default really, that's just volume tracking and prediction. Suffice to say that broad customer behavior analysis has been a thing for a couple generations now, at least. When you go to a website, why would you think that it is not keeping track of where you go and what you click on in the same manner? Now that I've stated that I do want to say that the real problems that we experience come in with how this data is misused out of what it's scope should be. And that we should have strong regulatory agencies forcing compliance of how this data is used and enforcing the right to privacy for people that want it removed.
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    If an industry can't survive without resorting to copyright theft then maybe it's not a viable business. Imagine the business that could exist if only they didn't have to pay copyright holders. What makes the AI industry any different or more special?
  • European Open Web Index goes public in June 2025

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  • Audible unveils plans to use AI voices to narrate audiobooks

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    fancypantsfire@lemm.eeF
    Ah, I see what you’re saying, I misunderstood and thought you were taking about picking a different book. Indeed, for the worst case scenario a mediocre AI voice could be an improvement!
  • Microsoft's AI Secretly Copying All Your Private Messages

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    Forgive me for not explaining better. Here are the terms potentially needing explanation. Provisioning in this case is initial system setup, the kind of stuff you would do manually after a fresh install, but usually implies a regimented and repeatable process. Virtual Machine (VM) snapshots are like a save state in a game, and are often used to reset a virtual machine to a particular known-working condition. Preboot Execution Environment (PXE, aka ‘network boot’) is a network adapter feature that lets you boot a physical machine from a hosted network image rather than the usual installation on locally attached storage. It’s probably tucked away in your BIOS settings, but many computers have the feature since it’s a common requirement in commercial deployments. As with the VM snapshot described above, a PXE image is typically a known-working state that resets on each boot. Non-virtualized means not using hardware virtualization, and I meant specifically not running inside a virtual machine. Local-only means without a network or just not booting from a network-hosted image. Telemetry refers to data collecting functionality. Most software has it. Windows has a lot. Telemetry isn’t necessarily bad since it can, for example, help reveal and resolve bugs and usability problems, but it is easily (and has often been) abused by data-hungry corporations like MS, so disabling it is an advisable precaution. MS = Microsoft OSS = Open Source Software Group policies are administrative settings in Windows that control standards (for stuff like security, power management, licensing, file system and settings access, etc.) for user groups on a machine or network. Most users stick with the defaults but you can edit these yourself for a greater degree of control. Docker lets you run software inside “containers” to isolate them from the rest of the environment, exposing and/or virtualizing just the resources they need to run, and Compose is a related tool for defining one or more of these containers, how they interact, etc. To my knowledge there is no one-to-one equivalent for Windows. Obviously, many of these concepts relate to IT work, as are the use-cases I had in mind, but the software is simple enough for the average user if you just pick one of the premade playbooks. (The Atlas playbook is popular among gamers, for example.) Edit: added explanations for docker and telemetry