• 4 Posts
  • 35 Comments
Joined 4 months ago
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Cake day: March 5th, 2024

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  • Nothing major. In my country when people are fired they are entitled to recieve some money based on how long they’ve been an employee. One time I overpaid a dude who was fired by some 5k USD or so (converting from my local currency) which is nothing major but my boss was pissed. Luckly I just called him and asked him nicely to return the extra money and he did without being rude or anything.

    Edit: just as a comparison at the same company once one of our (corporate) clients sent us the payment for a service twice by mistake, some ~200k USD that they had to pay 1x we ended up recieving twice. By comparison 5k is nothing.



  • GreatDong3000@lemm.eetoFunny@sh.itjust.worksIt's so over
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    1 month ago

    It is a partial analogy, it takes into consideration the outputs which are related to some specific training data and disconsiders the outputs which cannot be directly related to any specific training data.

    For example, make up a new meme template and a new joke on the spot, it couldn’t have seen it before if you make sure your joke and template are new. If the AI can explain it then compression is a horrendous analogy.

    Lossy compression explains outputs being similar but not identical when trying to recover the original data, it doesn’t explain brand new content that makes sense standalone. Imagine a lossy audio compression resulting in a brand new song midway through playback, or a lossy image compression resulting in a brand new coherent image being overlayed onto some pixels of the original image. That is not what happens, lossy audio compression results in noise, lossy image compression results in noise, not in coherent unheard songs and unseen images.



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    1 month ago

    Oh ok, you want to claim this is compressing the entirety of the internet in a model that isn’t even 1 terabyte of data and be unimpressed that is something.

    But it isn’t compression. It is a mathematical fact that neural networks are universal function approximators, this is undisputed, and analytic functions are continuous so to be an analytical function approximator it must be able to fill in the gaps between discrete data points by itself, which necessarily means spiting out data outside of the input distribution, data it has not seen.


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    1 month ago

    Man the models can’t store verbatim its training data, the amount of data is turned into a model that is hundreds or thousands of times smaller than the original source data. If it was capable of simply recovering everything that it was trained on this would be some magical compression algorithm and that by itself would be extremely impressive.



  • Idk, where there is potential for data mining and money there is a will and a way.

    I am worried about stuff that is widespread like systemd, KDE, GNOME, flatpak, a bunch of stuff which is mantained by companies like redhat and canonical, etc. I also worry stuff like what was attempted with the XZ backdoor becomes more common.

    We can always hop to other distros but if the high level polished stuff that we’ve taken a long time to achieve gets compromised these safer distros may end up being a worse experience and set us back years or decades.

    I think I am fine with home use Linux growing a little bit, maybe if we get just under 10% or so that can be good in terms of software availability and just more people working on open source projects. Too much popularity idk, I am not onboard with that rn.


  • I think I don’t even want Linux to become too popular. It will attract the wrong kind of attention. First, being more targeted by attackers it may become less safe. Most importantly, I don’t even know how but I know that if Linux becomes a huge market for home users, corporations will look at it and go “uh, big market sitting there let’s monetize it” and there is absolutely no way Linux won’t become shittier in more ways than one when thousands of big corporations out there are trying to get their hands on Linux users and our data in multiple different ways. Again, I don’t know how it will happen but I don’t like having this kind of attention on Linux.





  • I’ll copy and paste my reply to someone else here:

    Any huge server that is impossible to moderate for admins is detrimental to the network and failure to properly moderate is the number one reason we should be looking at to defederate from instances.

    Automatic “spam” protection is the exact thing which co-opted e-mail. Big corps with the largest e-mail user base use algorithms that automatically assume the worst about any small e-mail server. If you spin up a small server you are assumed to be spam unless unless unless, which ended up with e-mail being centralized in the hands of Google, Microsoft, Yahoo and Apple, despite being theoretically decentralized too.

    Is that what we want for the Fediverse? 4 or 5 huge instances automatically defederating from all small instances unless they fit some criteria defined by the big corps, which they can change anytime?

    To summarize, how big Threads is and how they decide to moderate the content matters for anyone who doesn’t want the Fedi to end up like e-mail.


  • That’s exactly why Threads is incompatible with the Fediverse. Any huge server that is impossible to moderate for admins is detrimental to the network and failure to properly moderate is the number one reason we should be looking at to defederate from instances.

    Automatic “spam” protection is the exact thing which co-opted e-mail. Big corps with the largest e-mail user base use algorithms that automatically assume the worst about any small e-mail server. If you spin up a small server you are assumed to be spam unless unless unless, which ended up with e-mail being centralized in the hands of Google, Microsoft, Yahoo and Apple, despite being theoretically decentralized too.

    Is that what we want for the Fediverse? 4 or 5 huge instances automatically defederating from all small instances unless they fit some criteria defined by the big corps, which they can change anytime?


  • Youtube was blocking comments mentioning Fediverse and ActivityPub 2 years ago way before all the exposure the Fediverse got last year. Facebook was blocking links to mastodon instances also before all that. There is absolutely no way a very specific word such as Pixelfed would be blocked “accidentally”, how do you propose such accidental block would even be possible? Oops, intern smashed his butt against a keyboard and set a filter that happened to catch Pixelfed by accident? Come on.