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Cake day: June 16th, 2023

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  • I grew up near an area where a large number high net worth people. For example as a kid I thought Lamborghini was a common car because I saw them all the time.

    In my experience lots of money brings out your true self and let’s you act the way you want. So if you are inclined to be self centered and an asshole you can be a massive asshole. You can also be generous and kind.

    Most rich people are pretty normal. However the normal ones do try to not make it known that they are rich. So you often don’t notice the normal rich people.

    It’s also hard to tell the difference between a person who lives on a 200k a year income and a person with a double digit millions net worth.

    I had a friend as a teen. I invited him to go diving with me as he had never been. He showed up with a 20k wetsuite.




  • There were similar debates about photographs and copyright. It was decided photographs can be copyrighted even though the camera does most of the work.

    Even when you have copyright on something you don’t have protection from fair use. Creativity and being transformative are the two biggest things that give a work greater copyright protection from fair use. They at are also what can give you the greatest protection when claiming fair use.

    See the Obama hope poster vs the photograph it was based on. It’s to bad they came to an settlement on that one. I’d have loved to see the courts decision.

    As far as training data that is clearly a question of fair use. There are a ton of lawsuits about this right now so we will start to see how the courts decide things in the coming years.

    I think what is clear is some amount of training and the resulting models fall under fair use. There is also some level of training that probably exceeds fair use.

    To determine fair use 4 things are considered. https://www.copyright.gov/fair-use/

    1 Purpose and character of the use, including whether the use is of a commercial nature or is for nonprofit educational purposes.

    This is going to vary a lot from training model to training model.

    Nature of the copyrighted work.

    Creative works have more protection. So training on a data set of a broad set of photographs is more likely to be fair use than training on a collection of paintings. Factual information is completly protected.

    -> Amount and substantiality of the portion used in relation to the copyrighted work as a whole.

    I think ai training is safe here. Once trained the ai data set usually doesn’t contain the copyrighted works or reproduce them.

    Effect of the use upon the potential market for or value of the copyrighted work.

    Here is where ai training presumably has the weakest fair use argument.

    Courts have to look at all 4 factors and decide on the balance between them. It’s going to take years for this to be decided.

    Even without ai there are still lots of questions about what is and isn’t fair use.










  • The solution for this is usually counter training. Granted my experience is on the opposite end training ai vision systems to id real objects.

    So you train up your detector ai on hand tagged images. When it gets good you use it to train a generator ai until the generator is good at fooling the detector.

    Then you train the detector on new tagged real data and the new ai generated data. Once it’s good at detection again you train the generator ai on the new detector.

    Repeate several times and you usually get a solid detector and a good generator as a side effect.

    The thing is you need new real human tagged data for each new generation. None of the companies want to generate new human tagged data sets as it’s expensive.


  • Hugin@lemmy.worldtomemes@lemmy.worldIt's true.
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    14 days ago

    Yeah. The thing that made me “get” quaternions was thinking about clocks. The hands move around in a 2d plane. You can represent the tips position with just x,y. However the axis that they rotate around is the z axis.

    To do a n dimensional rotation you need a n+1 dimensional axis. So to do a 3D rotation you need a 4D axis. This is bassicly a quat.

    You can use trig to get there in parts but it requires you to be careful to keep your planes distinct. If your planes get parallel you get gimbal lock. This never happens when working with quats.


  • Hugin@lemmy.worldtomemes@lemmy.worldIt's true.
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    14 days ago

    No. It’s more what the previous poster said about encoding rotation. It’s just not a xyz axes. It’s current, charge, flux as axes. The trig is how you collapse the 3d system into a 2d or 1d projection. You lose some information but it’s more useful from a spefic reference.

    Without complex numbers you can’t properly represent the information.



  • Hugin@lemmy.worldtomemes@lemmy.worldIt's true.
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    14 days ago

    Yup. When you have a circuit that is not purely resistive the inductive or capacitive load causes the voltage and current to not be in phase. It looks like ohms law is being violated. However the missing part of the energy is in the imaginary component to be returned latter.