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Joined 2 years ago
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Cake day: June 22nd, 2023

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  • I’m not a technical person, so i don’t really know, but from a blog i read about switching from lemmy to piefed, i guess there should be some problems :

    I also changed the URL from jemmy.jeena.net to piefed.jeena.net because I don’t want the other instances to be confused when suddenly a different software with different contents is available under the same domain. But I’m thinking to start up Lemmy and unsubscribe from all communities and to delete the one community I have on my Lemmy instance which has only very few subscribers.

    That at least would be a somewhat clean way to dispose of this lemmy instance. Oh and I should return a 410 Gone to indicate that it’s permanently gone.










  • To use .dll VSTs on Linux with Reaper, i use yabridge. If i understood correctly it mixes the use of the linux .so VST format and Wine to trick the VSTs into thinking they run on Windows. So you can run Reaper outside of Wine, and automatically have access to Windows VSTs (once you setup yabridge properly).

    It has some huge limitations (most Waves plugins are a big no, getting Kontakt to work seems to involve black magic way beyond my understanding, etc) but i got some plugins to work very well!

    On the safety of Wine, i’m not sure at all. From what i understand of this forum, Wine itself is not really dangerous, but it does not block applications from communicating with Linux filesystem and environment so it’s not 100% safe. However you are slightly protected by the niche aspect of Linux, which makes it unlilely for attackers to take time to code a virus that handles Linux way of working. And from my small experience with hacked VSTs on Windows, most werent a threat, especially when i took them from the same hacking team




  • Okay, i think there is quite a misunderstanding here.

    Some older versions of LLMs (chatgpt3.5-turbo-instruct) can play chess relatively well (around 1750 Elo) : here is a link to an article studying that.

    Some points :

    • it is of course way worse than almost any algorithm designed for chess
    • one of the reason we cannot get these result back (at least not that good, here is a link to a blog post of someone making recent LLMs chatbots better at chess) could be that we do not have access to pure completion mode on models trained on selected data (where they could purposefully choose only good chess matches), and those are now hidden behind a chatbot layer instead.
    • it seems to reveal that models have a somehow accurate representation of the chess board when predicting chess moves
    • it seems to have a quite unique feat that is : if you feed them a prompt that say they play as a very good player, and then the beginning of a game with a blatant bad move (giving away a queen for example), they sometimes play the entire game with moves that purposefully give away pieces, as if they guess that the only reason they would lose a piece that easily is by purposefully losing them. It has close to zero utility, but it’s interesting anyway.