Walter Isaacson Quote

A harbinger of a third wave of computing, one that blurred the line between augmented human intelligence and artificial intelligence. The first generation of computers were machines that counted and tabulated, Rometty says, harking back to IBM’s roots in Herman Hollerith’s punch-card tabulators used for the 1890 census. The second generation involved programmable machines that used the von Neumann architecture. You had to tell them what to do. Beginning with Ada Lovelace, people wrote algorithms that instructed these computers, step by step, how to perform tasks. Because of the proliferation of data, Rometty adds, there is no choice but to have a third generation, which are systems that are not programmed, they learn.27 But even as this occurs, the process could remain one of partnership and symbiosis with humans rather than one designed to relegate humans to the dustbin of history. Larry Norton, a breast cancer specialist at New York’s Memorial Sloan-Kettering Cancer Center, was part of the team that worked with Watson. Computer science is going to evolve rapidly, and medicine will evolve with it, he said. This is coevolution. We’ll help each other.28 This belief that machines and humans will get smarter together is a process that Doug Engelbart called bootstrapping and coevolution.29 It raises an interesting prospect: perhaps no matter how fast computers progress, artificial intelligence may never outstrip the intelligence of the human-machine partnership. Let us assume, for example, that a machine someday exhibits all of the mental capabilities of a human: giving the outward appearance of recognizing patterns, perceiving emotions, appreciating beauty, creating art, having desires, forming moral values, and pursuing goals. Such a machine might be able to pass a Turing Test. It might even pass what we could call the Ada Test, which is that it could appear to originate its own thoughts that go beyond what we humans program it to do. There would, however, be still another hurdle before we could say that artificial intelligence has triumphed over augmented intelligence. We can call it the Licklider Test. It would go beyond asking whether a machine could replicate all the components of human intelligence to ask whether the machine accomplishes these tasks better when whirring away completely on its own or when working in conjunction with humans. In other words, is it possible that humans and machines working in partnership will be indefinitely more powerful than an artificial intelligence machine working alone?

Walter Isaacson

A harbinger of a third wave of computing, one that blurred the line between augmented human intelligence and artificial intelligence. The first generation of computers were machines that counted and tabulated, Rometty says, harking back to IBM’s roots in Herman Hollerith’s punch-card tabulators used for the 1890 census. The second generation involved programmable machines that used the von Neumann architecture. You had to tell them what to do. Beginning with Ada Lovelace, people wrote algorithms that instructed these computers, step by step, how to perform tasks. Because of the proliferation of data, Rometty adds, there is no choice but to have a third generation, which are systems that are not programmed, they learn.27 But even as this occurs, the process could remain one of partnership and symbiosis with humans rather than one designed to relegate humans to the dustbin of history. Larry Norton, a breast cancer specialist at New York’s Memorial Sloan-Kettering Cancer Center, was part of the team that worked with Watson. Computer science is going to evolve rapidly, and medicine will evolve with it, he said. This is coevolution. We’ll help each other.28 This belief that machines and humans will get smarter together is a process that Doug Engelbart called bootstrapping and coevolution.29 It raises an interesting prospect: perhaps no matter how fast computers progress, artificial intelligence may never outstrip the intelligence of the human-machine partnership. Let us assume, for example, that a machine someday exhibits all of the mental capabilities of a human: giving the outward appearance of recognizing patterns, perceiving emotions, appreciating beauty, creating art, having desires, forming moral values, and pursuing goals. Such a machine might be able to pass a Turing Test. It might even pass what we could call the Ada Test, which is that it could appear to originate its own thoughts that go beyond what we humans program it to do. There would, however, be still another hurdle before we could say that artificial intelligence has triumphed over augmented intelligence. We can call it the Licklider Test. It would go beyond asking whether a machine could replicate all the components of human intelligence to ask whether the machine accomplishes these tasks better when whirring away completely on its own or when working in conjunction with humans. In other words, is it possible that humans and machines working in partnership will be indefinitely more powerful than an artificial intelligence machine working alone?

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About Walter Isaacson

Walter Seff Isaacson (born May 20, 1952) is an American journalist who has written biographies of Henry Kissinger, Benjamin Franklin, Leonardo da Vinci, Albert Einstein, Steve Jobs, Jennifer Doudna and Elon Musk. As of 2024, Isaacson is a professor at Tulane University and, since 2018, an interviewer for the PBS and CNN news show Amanpour & Company.
He has been the president and CEO of the Aspen Institute, a nonpartisan policy studies organization based in Washington, D.C., the chair and CEO of CNN, and the editor of Time.
Isaacson attended Harvard University and Pembroke College, Oxford as a Rhodes scholar. He is the co-author with Evan Thomas of The Wise Men: Six Friends and the World They Made (1986) and the author of Pro and Con (1983), Kissinger: A Biography (1992), Benjamin Franklin: An American Life (2003), Einstein: His Life and Universe (2007), American Sketches (2009), Steve Jobs (2011), The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution (2014), Leonardo da Vinci (2017), The Code Breaker: Jennifer Doudna, Gene Editing, and the Future of the Human Race (2021) and Elon Musk (2023).
Isaacson is an advisory partner at Perella Weinberg Partners, a New York City-based financial services firm. He was vice chair of the Louisiana Recovery Authority, which oversaw the rebuilding after Hurricane Katrina, chaired the government board that runs Voice of America, and was a member of the Defense Innovation Board.