Intellectual property rights are sometimes hailed as the mother of creativity and invention. However, Marshall Brain points out that many of the fine… - Max Tegmark

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Intellectual property rights are sometimes hailed as the mother of creativity and invention. However, Marshall Brain points out that many of the finest examples of human creativity — from scientific discoveries to creation of literature, art, music and design — were motivated not by a desire for profit but by other human emotions, such as curiosity, an urge to create, or the reward of peer appreciation. Money didn’t motivate Einstein to invent special relativity theory any more than it motivated Linus Torvalds to create the free Linux operating system. In contrast, many people today fail to realize their full creative potential because they need to devote time and energy to less creative activities just to earn a living. By freeing scientists, artists, inventors and designers from their chores and enabling them to create from genuine desire, Marshall Brain’s utopian society enjoys higher levels of innovation than today and correspondingly superior technology and standard of living.

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About Max Tegmark

Max Tegmark (born May 5, 1967) is a Swedish-American physicist, cosmologist and machine learning researcher. He is a professor at the Massachusetts Institute of Technology and the scientific director of the Foundational Questions Institute. He is also a co-founder of the Future of Life Institute and a supporter of the effective altruism movement, and has received research grants from Elon Musk to investigate existential risk from advanced artificial intelligence.

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Also Known As

Alternative Names: Tegmark Max Shapiro Max Erik Tegmark
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The DQN AI system of Google DeepMind can accomplish a slightly broader range of goals: it can play dozens of different vintage Atari computer games at human level or better. In contrast, human intelligence is thus far uniquely broad, able to master a dazzling panoply of skills.
A healthy child given enough training time can get fairly good not only at any game, but also at any language, sport or vocation. Comparing the intelligence of humans and machines today, we humans win hands-down on breadth, while machines outperform us in a small but growing number of narrow domains, as illustrated in figure 2.1. The holy grail AI research is to build “general AI” (better known as artificial general intelligence, AGI) that is maximally broad: able to accomplish virtually any goal, including learning.

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