Sublime
An inspiration engine for ideas
But symbols on their own have had problems; pure symbolic systems can sometimes be clunky to work with, and have done a poor job on tasks like image recognition and speech recognition; the Big Data regime has never been their forté. As a result, there’s long been a hunger for something else.
Gary Marcus • Deep Learning Is Hitting a Wall
deliberate practice.
Cal Newport • Deep Work: Rules for Focused Success in a Distracted World
EVEN APPARENTLY SIMPLE ASPECTS OF COGNITION SOMETIMES REQUIRE MULTIPLE TOOLS.
Ernest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust
The field of artificial (general) intelligence has made no progress because there is an unsolved philosophical problem at its heart: we do not understand how creativity works. Once that has been solved, programming it will not be difficult.
David Deutsch • The Beginning of Infinity: Explanations That Transform the World
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
“infinite use of finite means.”
Ernest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust
A more recent project, also based at MIT, though run by a different team, is called VirtualHome.
Ernest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust
cognitive psychology focused largely on internal representations, like beliefs, desires, and goals.