• 9 Posts
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Joined 2 years ago
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Cake day: July 22nd, 2024

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  • The DNC Dems are there to prevent a progressive party from forming. The DNC Dems are working together with the Reps to fight against the people of America for the rich oligarchs running the country.

    We warned that this is what is going on before the last presidential election and before that. But people wouldn’t want to listen, instead defending “slow genocide” and “lesser of two evils” and other insane statements. Now they keep getting screwed as the DNC Dems understand that they will keep getting away with it.













  • I know it is a bit of a silly answer but here we go:

    My brother had installed a game-boy emulator on the family PC when my parents had prohibited gameboys from the house. My older siblings bought some though and hid them, but i was too young for that. (They also didn’t tell me).

    Anyways, so at the time Pokémon Ruby and Sapphire was the hot shit. I played Ruby on the emulator and i loved it. There was just one problem. The “nebula” animation that is transparent in the gameboy version was solid in the emulator. When i entered a cave i had to find a way to pass it blindly. This was before we had proper internet access at home, so i couldn’t look up the cave layout.

    I had to gave up after the second gym or so. When i got older and my grandma bought me a gameboy, i played Ruby like crazy as i finally could progress.


  • Helping a genocide is very much illegal. If you sell precursor chemicals for poison gas to a death camp operator, you are also complicit.

    After Oct. 7 the usage by the IDF exploded. In early 2024 reports about the AI tools used to justify slaughtering Civilians en masse came out, employees have been raising alarms through the “proper” channels and then went to public protest as Microsoft ignored them and cracked down on any mention of it in Forums, Town Halls and the like.

    They absolutely know that they are complicit and would rot in prison the rest of their lifes if this goes to court properly.



  • Which are based on LLMs or other neural network models. It is kind of the thing that language models are actually good at.

    See DeepL for example: https://en.wikipedia.org/wiki/DeepL_Translator

    The service uses a proprietary algorithm with convolutional neural networks (CNNs)[3] that have been trained with the Linguee database.[4][5]
    According to the developers, the service uses a newer improved architecture of neural networks, which results in a more natural sound of translations than by competing services.
    The translation is said to be generated using a supercomputer that reaches 5.1 petaflops and is operated in Iceland with hydropower.[6][7]
    In general, CNNs are slightly more suitable for long coherent word sequences, but they have so far not been used by the competition because of their weaknesses compared to recurrent neural networks.
    The weaknesses of DeepL are compensated for by supplemental techniques, some of which are publicly known.



  • Labour won in a landslide after the Brexit mess rightfully fucked up the Tories. They do this because they aren’t center left, but a right/far-right party by their ideology now. They don’t have to do this. They want to do this.

    The “Labour/Social Democratic” parties all over Europe have been sliding into right/far-right authoritarianism and Racism over the past decades, after many of them slided into Neoliberalism at the end of the 90s and in the 2000s.




  • The recognition of the pattern is done by the machine learning. That is the core concept of machine learning.

    For the interpretation you need to use your domain knowledge. Machine learning together with knowledge in the domain analyzed can be a very powerful combination.

    Another example in research i have heard about recently, is detection of brain tumors before they occur. MRIs are analyzed of people who later developed brain tumors to see if patterns can be detected in the people who developed the tumors that are absent in the people who didn’t develop tumors. This knowledge of a correlation between certain patterns and later tumor development could help specialists to further their understanding of how tumors develop as they can analyze these specific patterns.

    What we see with ChatGPT and other LLMs is kind of doing the opposite by detaching the algorithm from any specific knowledge. Subsequently the algorithm can make predictions on anything and they are worth nothing.