Moneygpt
Ai And The Threat To The Global Economy
Rickards, James
From the New York Times bestselling author of The New Great Depression and Currency Wars, a telling prediction for how AI will endanger global economic markets and securityIn November 2022, OpenAI released GPT-4 in a chatbot form to the public. In just two months, it claimed 100 million users—the fastest app to ever reach this benchmark. Since then, AI has become an all-consumi...
Sinopsis
From the New York Times bestselling author of The New Great Depression and Currency Wars, a telling prediction for how AI will endanger global economic markets and security
In November 2022, OpenAI released GPT-4 in a chatbot form to the public. In just two months, it claimed 100 million users—the fastest app to ever reach this benchmark. Since then, AI has become an all-consuming topic, popping up on the news, in ads, on your messenger apps, and in conversations with friends and family. But as AI becomes ubiquitous and grows at an ever-increasing pace, what does it mean for the financial markets?
In MoneyGPT, Wall Street veteran and former advisor to the Department of Defense James Rickards paints a comprehensive picture of the danger AI poses to the global financial order, and the insidious ways in which AI will threaten national security. Rickards shows how, while AI is touted to increase efficiency and lower costs, its global implementation in the financial world will actually cause chaos, as selling begets selling and bank runs happen at lightning speed. AI further benefits malicious actors, Rickards argues, because without human empathy or instinct to intervene, threats like total nuclear war that once felt extreme are now more likely. And throughout all this, we must remain vigilant on the question of whose values will be promoted in the age of AI. As Rickards predicts, these systems will fail when we rely on them the most.
MoneyGPT shows that the danger is not that AI will malfunction, but that it will function exactly as intended. The peril is not in the algorithms, but in ourselves. And it's up to us to intervene with old-fashioned human logic and common sense before it's too late
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