Born to do Math 21 – Codeless Information
Author(s): Scott Douglas Jacobsen
Publication (Outlet/Website): Jennifer Arrington (Unpublished)
Publication Date (yyyy/mm/dd): 2017/03/28
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Rick Rosner: Then I was thinking, “What if there could be something like codeless information that is purely associative?” Maybe, that’s more efficient.
Scott Douglas Jacobsen: That’s different than minimized information as well, or minimized code. So in general, the previous models of artificial intelligence, or simply computer code, were super long in trying to code for every single possible problem. So that you could have an appropriate solution to it. At the same time, the more modern ones minimize that, and allow the computer to learn for itself based on its much simpler set of algorithms.
So instead of hundreds of thousands, even millions, of lines of codes., you have a couple hundred. Google DeepMind with this minimized model has great success. What you’re talking about something even further, it is codeless code.
RR: I don’t know because I don’t know much about the Google deal. I don’t know much about anything. But when you allow a system to build its own set of equivalences, which seems to be what Google translate is about. There may be no zero code way to do stuff, but this “minimized code” that you’re talking about.
SDJ: I made the term. I invented term [Laughing]. I did not use it from a professional.
RR: There may be—instead of having explicitly codified code, computers don’t comprehend anything they’re processing. They work according to rules. But if there are systems that work on more global grasping of stuff. That may incorporate a more efficient, more explicit, less code heavy form of associative coding or information, or something that approaches codelessness.
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