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we humans tend to overestimate AI advances and underestimate the complexity of our own intelligence.
Melanie Mitchell • Artificial Intelligence: A Guide for Thinking Humans
With all the challenges in ethics and computation, and the knowledge needed from fields like linguistics, psychology, anthropology, and neuroscience, and not just mathematics and computer science, it will take a village to raise to an AI.
Gary Marcus • Deep Learning Is Hitting a Wall
The Man from the Future: The Visionary Life of John von Neumann
how to write algorithms that could change their code and get smarter as they develop. We now call this evolutionary programming.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium
The eminent professor of complexity Melanie Mitchell rightly points out that present-day AI systems have many limitations: they can’t transfer knowledge from one domain to another, provide quality explanations of their decision-making process, and so on.