Henry Kissinger’s Book: It’s Time to Prepare for “Superhuman” Humans to Control the Earth
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Henry Kissinger’s Book: It’s Time to Prepare for “Superhuman” Humans to Control the Earth

In Henry Kissinger’s final book, Genesis, the late former secretary of state has presented a thought-provoking examination of the role of humans in a future dominated by artificial intelligence.

Written with former Google CEO Eric Schmidt and longtime Microsoft executive Craig Mundie, the book addresses the challenges and ethical considerations surrounding AI advances. The authors say that humanity should prepare for the day when it is no longer in charge of the planet, having given way to AI.

The rise of AI creating “superhuman” humans is a major concern in “Genesis,” the final book by Kissinger, a longtime diplomatic strategist who died last year at age 100.

The authors discuss AI’s potential impact on humanity and predict a future in which AI’s capabilities may surpass human capabilities, according to the Washington Times, which obtained an early copy. The prospect raises important questions about the need for humans to consider biological adaptations to keep pace with advanced technology.

The book explores the concept of “Artificial Humans”, suggesting that humanity must prepare to coexist with machines that can surpass us as primary planetary actors.

“Biological engineering efforts designed for tighter human-machine fusion are already underway,” they write. “Altering the genetic code of some people to become superhuman carries other moral and evolutionary risks. If AI is responsible for the increase in human mental capacity, it could create a simultaneous biological and psychological dependence on ‘alien’ intelligence in humanity.”

Although technological integration is inevitable, the authors advocate that machines should reflect human characteristics rather than make humans more machine-like. This approach aims to preserve human characteristics while addressing the challenges of integrating diverse and globally varied human cultural norms into machine learning systems.