Aug 25, 2022·edited Aug 25, 2022Liked by Mark Changizi
I checked out a book on relational database theory from a university library in the late 1990's. And from reading that one book went on to design and build multiple custom database solutions for many clients, including an international ERP software corporation that went on to be swallowed up by Peoplesoft and then Oracle. The many-to-many relational structures I needed to create were the most difficult for me to figure out. I observed they had many parallels to how our minds work, processing many sources of stimuli that generate many thoughts and actions at the same time.
While I never made a career of it I traveled around the nation to do the installs and trainings of the custom software I created at the ERP corporation's regional offices. I had learned enough about computing in one weekend reading one book on theory to become a respected peer teaching professionals who had degrees in computing designing very advanced and complex software programs. And grasped that many-to-many relationships are a rudimentary way of understanding how our minds work, and are a basic prerequisite for any AI capability.
That said, I found this video on the future of computing to be fascinating. Encouraging us to think outside the box when we look at computing technology. A case where simple, older technologies, like analog can outperform newer, more advanced and complex technology. I share it with you as you contemplate designing visual system circuitry, to not overlook the possibilities found in basics of computing technology theory.
I checked out a book on relational database theory from a university library in the late 1990's. And from reading that one book went on to design and build multiple custom database solutions for many clients, including an international ERP software corporation that went on to be swallowed up by Peoplesoft and then Oracle. The many-to-many relational structures I needed to create were the most difficult for me to figure out. I observed they had many parallels to how our minds work, processing many sources of stimuli that generate many thoughts and actions at the same time.
While I never made a career of it I traveled around the nation to do the installs and trainings of the custom software I created at the ERP corporation's regional offices. I had learned enough about computing in one weekend reading one book on theory to become a respected peer teaching professionals who had degrees in computing designing very advanced and complex software programs. And grasped that many-to-many relationships are a rudimentary way of understanding how our minds work, and are a basic prerequisite for any AI capability.
That said, I found this video on the future of computing to be fascinating. Encouraging us to think outside the box when we look at computing technology. A case where simple, older technologies, like analog can outperform newer, more advanced and complex technology. I share it with you as you contemplate designing visual system circuitry, to not overlook the possibilities found in basics of computing technology theory.
Future Computers Will Be Radically Different
Veritasium, March 1, 2022
https://youtu.be/GVsUOuSjvcg