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Joined 1 year ago
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Cake day: June 12th, 2023

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  • It is an area that will require us to think carefully of the ethics of the situation. Humans create works for humans. Has this really changed? Now consumption happens through a machine learning interface. I agree with your reasoning, but we have an elephant in the room that this line of reasoning does not address.

    When we ask the AI system to generate content in someone else’s style or when the AI distorts someone’s view in its responses. It is in this area where things get very murky for me. Can I get an AI to eventually write another book in Terry Pratchett’s style? Would his estate be entitled to some form of compensation? And that is an easier one compared to living authors or writers. We already see the way image generating AI programs copy artists. Now we are getting the same for language and more.

    It will certainly be an interesting space to follow in the next few years as we develop new ethics around this.



  • Agreed on your point. We need a way to identify those links so that our browser or app can automatically open them through our own instance.

    I am thinking along the lines of a registered resource type, or maybe a central redirect page, hosted by each instance, that knows how to send you to your instance to view the post there.

    I am sure it is a problem that can be solved. I would however not be in favour of some kind of central identity management. It is to easy a choke point and will take autonomy away from the instances.


  • That should just work. You view the post on your own instance and reply there. That reponse trickles to the other instances.

    It may take a while to propagate though. The paradigm is close to that of the ancient nntp news groups where responses travel at the speed of the server’s synchronisation. It may be tricky for rapid fire conversation, but works well for comments of articles.


  • Agreed, I installed Ubuntu 22.04 last week to play with stable diffusion. Decided to have a quick look at steam / proton and was blown away with how easily it works. Fallput 76, my primary online game installed and run with almost no hassle. I even managed to get a long time irritation with runaway frame rates fixed.

    The only glitch that remains unsolved is a hang on exit. Which is a known issue.



  • This is a fact and a half. Ihave been using linux on and off for a headless Minecraft server. Vanilla Debian. Yesterday I decided to load up the latest Ubuntu lts, to run stable diffusion. My first end user linux install in ages. And it was a 15 minute seamless experience. From boot ISO to running a normal functioning desktop. Add another hoiur and stable diffusion was up and running. A far cry from building slackware from, from source, in the early 2000s. It truly is amazing when we consider what has been achieved.


  • And that is where things gets interesting. The ethics of the situation. Even beyond copyright issues. Was your AI trained on data that you have the rights for, or not?

    We then have to think of the base model. How was that trained? I have not formed a well reasoned opinion yet as to the ethics of training on social media and forum style data.

    For me, personally, I don’t have an issue with my own posts and responses ending up as AI training data. We can also argue that those posts were made on public forums, therefor in public. But does that argument hold true for everyone. Underlying that question, we have to consider the profit motif off the companies. There is a major difference between training for academic purposes and for corporate purposes.

    Valve is probably smart in steering clear of the entire mud bog at this time. Not enough is known of how it will play out in both the courts and in public opinion.


  • I have to agree here. Generative AI has so much potential for games. Especially RPG style games for believable NPC characters. But the rights environment is very murky.

    I expect it to be resolved relatively soon though. a combination of generally trained AI with subject specific training should do the trick. In the same way we would train a helpdesk bot on company specific information.

    The remaining question though is what of the original broad dataset the source model was trained on. There things are less clear.



  • Well if you can deel with a very crusty Latvian ass, look for The Yamiks on youtube. He loves / hates the game, but knowledge is good. Agreed with the tutorials mentioned by @HidingCat.
    Another YouTube channel worth exploring is Better Atronomy. A level headed German sounding bloke who is very technical.

    There is an Elite Dangerous magazine here that had not taken off yet, but I am monitoring it from time to time. Ask questions.

    Open can be dangerous, but the galaxy is vast. Expect ganking in high traffic systems. Fly in either Private or Solo when visiting engineering systems. There is a new commander safe zone that should at least get you started.

    The game, is at best incomplete. I use inara.cz extensively as a companion resource. But that is for when you have left the starter area.

    Never Fly without a Rebuy is a motto to live by.

    Eddit to remove mention of eddb.io, which is no more. Inara does most things eddb did almost as well.







  • The exciting thing about this space is that much of it is undefined. It is all about the protocols and the main features at the moment. The 2nd generation tools will be born out of what we discuss now and think about now.

    How do you make sure a user is not trapped in his special interest bubble and still gets to see content that has everyone excited? How will we make use of the underlying data, on both posts and users to suggest and aggregate content.

    I think there will be more than one solution eventually, different flavours of aggregators running on the same underlying data.

    So much possibility. And we control it. If you don’t like the way your lemmy instance or kbin aggregates, choose another site or build your own. The data is there.