Resultados para "Hunter" en Historia y cultura

In January 2015, Craig Wright was facing financial ruin, with the Australian Taxation Office having uncovered a potentially criminal operation involving his raft of companies. Six months later he was sitting pretty, having signed a bailout deal that settled his tax affairs and afforded him a dream job in England. Somehow, Wright had turned it around. In truth, Wright had accepted a ticking time bomb. The deal that saved him was predicated on one very important premise: that he was Satoshi Nakamoto, the creator of Bitcoin.

All Brain and No Soul? Real Humanity in an AI Age explores the profound shifts in human identity and understanding in the context of historical, scientific, and technological revolutions, particularly the rise of artificial intelligence. Beginning with the author's personal reflections on chaos and order in a changing world, it delves into humanity's displacement from the cosmic center through the Copernican Revolution, the evolution of modern science, and the redefining of intelligence and sentience.

In this disquieting cyber thriller, Joseph Menn takes readers into the murky hacker underground, traveling the globe from San Francisco to Costa Rica and London to Russia. His guides are California surfer and computer whiz Barrett Lyon and a fearless British high-tech agent. Through these heroes, Menn shows the evolution of cyber-crime from small-time thieving to sophisticated, organized gangs, who began by attacking corporate websites but increasingly steal financial data from consumers.

In 2011, two years after the launch of Bitcoin, its pseudonymous creator, Satoshi Nakamoto, quietly departed the scene. Many thought Satoshi was gone for good, but in 2016, he returned, telling a shocking story: far from leaving on his terms, he had been forced out, and now he was back to reclaim what was rightfully his.

We are the last generation to manage only humans. The next will manage hybrid teams of humans and AI agents. Most leaders are not ready. The rare organizations achieving 200% productivity gains from AI are not using better technology than those achieving 20%. They are managing it differently. The authors learned this from failure. Across many AI deployments, the pattern became clear: capable agents failed not from weak technology, but from a missing management layer.