In the video, Derek Muller discusses how future computers will be radically different from the ones we use today. He predicts that they will rely on analog methods rather than digital methods. This means that they will be able to process information in a more natural way, which could lead to huge advances in areas like artificial intelligence.
Muller makes a good case for his argument, and it’s clear that he has put a lot of thought into it. I find his predictions to be quite exciting, and I can’t wait to see how they play out. I’m also curious to see if there will be any backlash against the move away from digital computing. Whatever ends up happening, it’s sure to be interesting.
We all know that computers have come a long way since their inception. While we used to use them mainly for word processing, spreadsheets, and other things of that nature; now they’re capable of doing much more than just that. They’re used in everything from space exploration to gaming to communication. But what will the future hold?
Evolving with analog computers?
How could computers possibly evolve any further? Will they one day be able to predict the future accurately, or perhaps even control it with their complex algorithms? One possibility that some have suggested is analog computing. This approach would use a physical system, rather than a digital one, to perform computing tasks. The idea is that by using something like fluid dynamics or chemical reactions, the capabilities of computers would be expanded significantly. In this video from Veritasium, a Physics YouTuber that’s been featured on Oprah, and 60 Minutes, among others, you can learn more about what analog computing could look like in the future.
While I love all the amazing things that we’ve already seen from our digital computers, the idea that we might one day be able to use something like fluid dynamics to perform calculations just blows my mind. The possibilities of what we can do with analog computing in the future are endless, and I’m excited to see how they evolve.
Photo credit: The feature image is symbolic and has been done by Sergiy Tryapitsyn.
