rmhspace@gmail.com
Mathematics teaches you that most problems can be solved by logical reasoning on the right abstractions. Engineering trains you to implement abstractions through an understanding of the constraints and details of reality. These are two requirements to engage in the process of building technology, and the humans involved have had to refine their abilities in these fields.
Today, we are placing bets on the extent that AI can take over this process. LLMs were believed to be incapable of synthesizing new information, but it appears that the goalposts are shifting. With this trend, could a future AI model produce better mathematical abstractions, better mechanical designs, better firmware, even better chips than any human? I'm betting yes.
Remember The Human explores from the perspective
of a
CS graduate building safe real-time systems.