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

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  • “Chatte” (female cat) is the equivalent of pussy in english.

    “Poulet” (chicken) is a cop. “Poulette” (hen) is a rather disrespectful word for a women.

    “Gorille” (gorilla) is a tall muscular person.

    “Cochon” (pig) is someone filthy, especially in the sexual sense. (can be used as an adjective, “films cochons” are porn films).

    “Canard” (duck) can be a newspaper, or a mistake when playing music.

    “Levrette” (female greyhound) is the name for the doggy style sexual position.

    “Vache” (cow) can be either someone mean, either a cop. The second case is rarely used except in the sentence “Mort aux vaches” (death to the cops) and probably comes from the Wache germanic root for Guardian, rather than the actual animal.






  • 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.



  • Crêpes-party ! Cook a bunch of crêpes and prepare some stuff to put in : either salty (meats, cheeses, cream, smoked fish,…) or sweet (chocolate sauce, caramel, jelly, fruits spread, sugar,…). You can ask people what they like before hand, so that everyone has something they appreciate. If you need a vegan option, you can swap milk for plant milk and eggs for a mix of starch and water.