Summary of Amy Webb's The Big Nine
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#1 Artificial intelligence is a system that makes autonomous decisions. The tasks AI performs are similar to those of human intelligence, like recognizing sounds and objects, solving problems, understanding language, and using strategy to meet goals.
#2 The way computers learn is similar to the way we do. They first need to remember and understand, followed by applying knowledge in new situations, analyzing information, and creating original work.
#3 Creativity, the type demonstrated by Amper, is the pinnacle of Bloom’s Taxonomy. It is a learned mechanical process, but it is also humanistic creativity. Amper’s brain is not that different from Beethoven’s brain, made up of organic neurons using data and recognizing patterns inside the container that is his head.
#4 Artificial intelligence is an amalgam of thousands of years of philosophers, mathematicians, scientists, roboticists, artists, and theologians. Their quest is to understand the connection between thinking and containers for thought.
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Summary of Amy Webb's The Big Nine - IRB Media
Insights on Amy Webb's The Big Nine
Contents
Insights from Chapter 1
Insights from Chapter 2
Insights from Chapter 3
Insights from Chapter 1
#1
Artificial intelligence is a system that makes autonomous decisions. The tasks AI performs are similar to those of human intelligence, like recognizing sounds and objects, solving problems, understanding language, and using strategy to meet goals.
#2
The way computers learn is similar to the way we do. They first need to remember and understand, followed by applying knowledge in new situations, analyzing information, and creating original work.
#3
Creativity, the type demonstrated by Amper, is the pinnacle of Bloom’s Taxonomy. It is a learned mechanical process, but it is also humanistic creativity. Amper’s brain is not that different from Beethoven’s brain, made up of organic neurons using data and recognizing patterns inside the container that is his head.
#4
Artificial intelligence is an amalgam of thousands of years of philosophers, mathematicians, scientists, roboticists, artists, and theologians. Their quest is to understand the connection between thinking and containers for thought.
#5
The foundational layer of AI can be traced back to ancient Greece and the origins of philosophy, logic, and math. In many of Plato’s writings, Socrates says, Know thyself, and he meant that in order to improve and make the right decisions, you first had to know your own character.
#6
The idea that the human soul is itself programmed was developed by German mathematician and philosopher Gottfried Wilhelm von Leibniz. He argued that thought and perception were inextricably linked to being human. No machine could ever think or perceive.
#7
Leibniz was fascinated with the idea of replicating aspects of thought in machines. He believed that everything could be reduced to bits, including human behavior. He imagined a computer that could solve general problems, even nonmathematical ones.
#8
The debate between Descartes and Leibniz was just the beginning of the search for artificial intelligence. In the 1740s, a French artist and inventor constructed a series of automata that included