The old guard built this movement. Without them, it’s unlikely any of us would be aware that a liberty movement even exists! This alone is an accomplishment. And the history books will look favorably upon them for it - & justifiably so. Their preference for a political approach however, has been ineffective at bringing about liberty (just take a look around, if you’re still permitted). Progress hasn’t just stagnated, we’ve been losing ground rapidly. It’s time for a paradigm shift. One that moves away from the old way of thinking & instead focuses on teaching people how to opt out of corrupt systems & to build competing, market-based alternatives to state institutions. Like sports teams, ideas also get tired & worn out, old players retire, & new, fresh ideas take their place. In the world of ideas, when paradigm shifts occur, the old guard resists the change at first, but eventually comes around to seeing the benefits and virtues of the new way. This is how progres
There are two types of artificial intelligence: the rules-based, & the neural network-based approach. To illustrate the differences, I'll borrow an example from AI blogger Janelle Shane's book, You Look Like A Thing & I Love You , & pretend we're training an AI to recognize dogs. Using a rules-based approach, we’d create parameters which the AI would then use to determine whether or not the thing it’s looking at, is in fact a dog. Our rules would include things like “must have four legs” & “must have tail,” etc. When all of our conditions have been satisfied, the AI will recognize a dog. With a neural network-based approach, we show the AI images of dogs & it learns to recognize patterns. The more pictures of dogs we show it, the more accurate the AI becomes. Nowadays, this is usually the preferred approach & will be the subject of this article. The interesting thing about the neural-network approach to AI - as we’ve already noted, is i