In 'Pattern Recognition,' Cayce Pollard, a cool-hunting marketing consultant, is haunted by her hypersensitivity to symbols and logos in a post-9/11 world. As she investigates a mysterious series of online films that captivate a cult following, she is drawn into a web of conspiracy and seduction that blurs the lines between reality and the digital age. With her life at stake, Cayce navigates the shadowy intersections of art, technology, and commerce. Gibson's exploration of identity and perception challenges readers to ponder how deeply technology influences our lives. Can she decode the patterns before they consume her? Dive into this cyberpunk thriller to unravel the truth.
By William Gibson
Published: 2004
"The future is already here — it's just not very evenly distributed."
“Pattern Recognition is William Gibson’s best book since he rewrote all the rules in Neuromancer.”—Neil Gaiman, author of American Gods “One of the first authentic and vital novels of the 21st century.”—The Washington Post Book World The accolades and acclaim are endless for William Gibson's coast-to-coast bestseller. Set in the post-9/11 present, Pattern Recognition is the story of one woman's never-ending search for the now... Cayce Pollard is a new kind of prophet—a world-renowned “coolhunter” who predicts the hottest trends. While in London to evaluate the redesign of a famous corporate logo, she’s offered a different assignment: find the creator of the obscure, enigmatic video clips being uploaded to the internet—footage that is generating massive underground buzz worldwide. Still haunted by the memory of her missing father—a Cold War security guru who disappeared in downtown Manhattan on the morning of September 11, 2001—Cayce is soon traveling through parallel universes of marketing, globalization, and terror, heading always for the still point where the three converge. From London to Tokyo to Moscow, she follows the implications of a secret as disturbing—and compelling—as the twenty-first century promises to be...
William Gibson is a renowned American-Canadian author and one of the pioneers of the science fiction genre known as cyberpunk. He is best known for his seminal works, including 'Neuromancer', 'Count Zero', and 'Mona Lisa Overdrive', which collectively form the Sprawl trilogy. Gibson's writing is characterized by its rich descriptions, intricate plots, and exploration of themes such as technology, cyberspace, and the implications of a digitized world. His unique style blends sharp prose with a visionary perspective, influencing countless authors and shaping the landscape of modern science fiction.
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In 'Economics in One Lesson,' Henry Hazlitt distills complex economic principles into a straightforward narrative that reveals how economic decisions can have far-reaching consequences. He stresses the importance of considering the long-term effects of policies on all groups, not just the immediate beneficiaries. Through compelling examples and clear reasoning, Hazlitt debunks popular misconceptions about economics, advocating for free markets and personal responsibility. This classic work challenges readers to rethink their understanding of wealth, prosperity, and government intervention. Dive into Hazlitt's insightful exploration and discover how economics shapes not only markets but our everyday lives.
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In a future America transformed by technology and corporate greed, Hiro Protagonist is a skilled hacker and pizza delivery driver navigating the chaotic urban sprawls of a crumbling society. When a new virtual drug called Snow Crash emerges, threatening the minds of its users, Hiro teams up with a young skateboard courier named Y.T. to unravel its dark origins. Adventure and digital warfare ensue as they plunge into a conspiracy that spans both the real world and the Metaverse. With elements of linguistics, ancient mythology, and cyberpunk, Neal Stephenson's gripping saga poses provocative questions about language, culture, and reality itself. Will they uncover the truth before it’s too late in this exhilarating race against time?
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“The future is already here — it's just not very evenly distributed.”
Pattern Recognition
By William Gibson
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