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Cake day: June 16th, 2023

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  • It takes a certain amount of energy for water to exist as water, a certain amount of energy for oxygen to exist as oxygen, and a certain amount of energy for hydrogen to exist as hydrogen

    The amount of energy it takes for water to keep being water is less than the sum total of the energy it takes for oxygen and hydrogen to keep being themselves.

    When you burn hydrogen, it combines with oxygen in the air and makes water. But that requires less energy to exist, so where does the excess energy go? It’s released as heat.

    To split water back into hydrogen and oxygen, you have to re-add that same amount of energy again.

    Hydrogen as a fuel isn’t so much a source of energy as a store of energy. A battery doesn’t make energy. You charge it with energy so that you can retrieve that energy later. Similarly, a big power plant electrolyses a bunch of water and makes a bunch of hydrogen. Later, you can use that hydrogen in your car without having to be connected to the big power plant that made it.

    this is all probably largely wrong and you should ignore it chemistry SUCKS



  • powerful isn’t the same as well-structured

    it was written to be a language that anybody could read or write as well as english, which just like every other time that’s been tried, results in a language that’s exactly as anal about grammar as C or Python except now it’s impossible to remember what that structure is because adding anything to the language to make that easier is forbidden

    when you write a language where its designers were so keen for it to remain human readable that they made deleting all rows in a table the default action, i don’t think “well structured” can be used to describe it





  • Primarily0617@kbin.socialtoTechnology@lemmy.mlethinically ambigaus
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    10 months ago

    the point of the original post is that artificially fixing a bias in training data post-training is a bad idea because it ends up in weird scenarios like this one

    your comment is saying that the original post is dumb and betrays a lack of knowledge because artificially fixing a bias in training data post-training would obviously only result in weird scenarios like this one

    i don’t know what your aim is here


  • any AI person training their algorithms on AI generated data is liable to get fired

    though this isn’t pertinent to the post in question, training AI (and by AI I presume you mean neural networks, since there’s a fairly important distinction) on AI-generated data is absolutely a part of machine learning.

    some of the most famous neural networks out there are trained on data that they’ve generated themselves -> e.g., AlphaGo Zero