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400
Joined
2 yr. ago

  • Wild corn dogs are an outright plague where I live. When I was younger, me and my buddies would lay snares to catch to corn dogs. When we caught one, we'd roast it over a fire to make popcorn. Corn dog cutlets served with popcorn from the same corn dog is popular meal, especially among the less fortunate. Even though some of the affluent consider it the equivalent to eating rat meat. When me pa got me first rifle when I turned 14, I spent a few days just shooting corn dogs.

  • You need more training material to train a new AI. Once the AI is there, it produce as many pictures as you want. And you can get good results even with models that can be run locally on a regular computer.

  • That said, it’s misleading and inaccurate to state that neural networks are just statistics. In fact they are substantially more than just advanced statistics. Certainly statistics is a component—but so too is probability, calculus, network/graph theory, linear algebra, not to mention computer science to program, tune, and train and infer them. Information theory (hello, entropy) plays a part sometimes.

    What I meant when I said that they are advanced statistics is that that is what they do. I know that a lot of disciplines play a part in creating them. I know it's incredible complicated, it took me quite a while to wrap my head around what the back-propagation algorithm.

    I also know that neural networks can do some really cool stuff. Recognizing tumors, for example. But it's equally dangerous to overestimate them, so we have to be aware of their limitations.

    Edit: All that being said, I do recognize that you have spent much more time learning about and working with neural networks than I have.

  • The thing with AI is, what the term today refers to most often is neural networks, which are really advanced statistics. And the thing is, to get more precise statistics, you need exponentially more data. And of course the marginal utility decays exponentially. So exponentially increasing marginal expenses meet exponentially decaying marginal utility.

  • My hypothesis is that they put the gilts up as collateral so that they could borrow money to invest. So, interest rate goes up, and the value of existing gilts goes down, because why buy a gilt with 1% interest when you can get a new one with 2% interest? Pension funds need to add more collateral to their accounts, because the gilts became less valuable.