• For simple image characterization in AI, the computer has to determine between two or three options for an image. Differing between something like dogs and cats are considered through scales and comparisons, and distinctions are incredibly important to accurately characterize each option. This is a fairly harmless example, but distinctions could be used to determine between benign and malign tumors.
  • Quality for many things is measured through things like good and bad. For example, a process for finding the correct drug for a certain type of cancer has a massive necessity for a high rate of success, but the distinction between a high rate and low one is incredibly small, and it often depends on the consumer to decide whether to use it.
  • Quantum Computing breaks the binary itself, moving past these distinctions between on and off. Regular computers use switches for flipping between off and on whenever needed, but quantum computing breaks that barrier by allowing both on and off at the same time. Distinctions switch between off and on to All tasks are much more efficient, and the classifications take different forms instead of what we truly believe the world to be.


Although many technologies have the potential to set the world ablaze, there are massive hurdles to let these ideas hit the open market, and they all come with their own set of distinctions.

Photo by Joakim Honkasalo on Unsplash


Ethical concerns are a massive part of regulation, through having a certain response based on a certain action. If this action would harm x amount of people while benefiting y amount of people, regulation could be made off of that data point.



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Aniket Majumder

Aniket Majumder

I’m Aniket, and I’m interested in how we can make humans fundamentally better through better disease prevention and innovation.