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629 results for “thomasfuchs”

  1. @gunstick @elithebearded @lmorchard @thomasfuchs I believe it was Dorian Gray who invented the "timn-sequence diagram" we all use today.
    #DorianGray #timn #uml

  2. @gunstick @elithebearded @lmorchard @thomasfuchs I believe it was Dorian Gray who invented the "timn-sequence diagram" we all use today.
    #DorianGray #timn #uml

  3. @gunstick @elithebearded @lmorchard @thomasfuchs I believe it was Dorian Gray who invented the "timn-sequence diagram" we all use today.

  4. @gunstick @elithebearded @lmorchard @thomasfuchs I believe it was Dorian Gray who invented the "timn-sequence diagram" we all use today.
    #DorianGray #timn #uml

  5. @gunstick @elithebearded @lmorchard @thomasfuchs I believe it was Dorian Gray who invented the "timn-sequence diagram" we all use today.
    #DorianGray #timn #uml

  6. @Nonya_Bidniss @thomasfuchs

    I m afraid the term is somewhat taken,
    but we could call such devices and appliances

    smart

    #disconnect #networks #AI

  7. @xtaran @debacle @thomasfuchs is that a #CardBus adapter? I thought the 760 series only supported Type II PC Cards.

  8. @scottmiller42 @emovulcan @acute_distress @thomasfuchs

    Hey Scott, I have not decided what to think about LLMs and copyrights.

    I saw the word Data analyst in your Bio, so I suppose you have some knowledge in #DataScience and #DataEngineering.

    I am myself trained in #MachineLearning and a bit in #neuralnetworks but I am far far far far far away from being any close to an expert. I can use them, efficiently sometimes. Sometimes not: there are problems I am still bad at solving with them.

    I am still learning the Transformers stuffs and other types of layers used in Deep Learning. That's huge stuff. For me at least.

    Could you clear that doubt I have when I read your messages:
    when you talk about "MEMORIZING" data

    It conflicts with my poor understanding of #machinelearning #neuralnet #transformer

    At my level of understanding: memorizing == overfitting
    that means that the model cannot extrapolate or even interpolate between values of the training set.

    This is something that I have categorized as a real flaw. If any of my models overfits, I consider it broken. I throw it away, it will not perform good on any unexpected input.

    Could you explain me how "memorizing" would differ in your vision?

    Don't hesitate to simplify things, I am not an expert yet at #transformer and #LLM

    In advance thanks. I would not like to be fooled by my apriori.

  9. @privacat @austin @thomasfuchs Your expertise would be greatly appreciated. Not a lawyer, but very familiar with contracts, and the Bluesky ToS are breathtaking. Not only is it limitless free-for-all to the content for using their application (Bluesky). They are taking, get this, a limitless free for all license for anything that touches their AT protocol. And they imagine a future where all social media uses their protocol. Isn't that rich?

    #ContentLicense #DataProtection

  10. @privacat @austin @thomasfuchs Excellent point. You effectively give them a license to your content for the purpose of showing it etc. This implied license is perpetual, royalty-free and non-exclusive. The issue of commercial use is where it gets dicey. You could certainly argue you did not give Mastodon a license to outright sell your content or mine it for data.

    Most of these licenses have a limitation for a purpose clause. Twitter and Bluesky do not.

    #ContentLicense #DataRights

  11. 🤖🧠 Why #algorithms do not generate #consciousness

    As #ThomasFuchs explains in the #Zoomposium, the difference lies in the fact that consciousness is always embodied.

    It is not just a process in the #brain or an #algorithm on a hard drive.

    Only a #system that experiences the “coherence” of its experience can truly understand.

    🎥 youtu.be/1ouxs6P3Enc

    📎philosophies.de/index.php/2022

    #Embodiment #PhilosophyOfMind #ArtificialIntelligence #MachineConsciousness #Algorithms #Digitalization

  12. I just watched the excellent #Sol20 video by @ActionRetro that @thomasfuchs recommended. It reminds me of all the reasons we ended up choosing the Processor Technology Sol-20 over the Apple II during the summer of 1977. It really was a great computer. Check out the video here:
    youtu.be/NMfjnZ66cxA

    hachyderm.io/@thomasfuchs/1100