
In "Artificial Intelligence," Melanie Mitchell demystifies AI's hype versus reality. Endorsed by Douglas Hofstadter, who fears humans becoming "relics," this eye-opening guide reveals why even our smartest machines lack common sense. Can AI ever truly think like us?
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Inside Google's headquarters, Melanie Mitchell found herself ironically lost while heading to discuss AI-a perfect metaphor for the field itself. The company that began as a search engine now pursues an audacious mission: "Solve intelligence and use it to solve everything else." This ambition reflects AI's perpetual optimism, dating back to pioneers who predicted human-level AI within a decade-forecasts still unfulfilled half a century later. The field exists in a state of contradiction: some claim we're approaching superintelligence while others insist we've made minimal progress toward machines that truly think. This tension reveals the central question: will AI eventually show that our most cherished qualities-intelligence, creativity, consciousness-are merely "a bag of tricks" easily replicated by algorithms? Or is there something fundamentally different about human understanding that machines cannot capture?
Разбейте ключевые идеи Artificial Intelligence на понятные тезисы, чтобы понять, как инновационные команды создают, сотрудничают и растут.
Выделите из Artificial Intelligence быстрые подсказки для запоминания, подчёркивающие ключевые принципы открытости, командной работы и творческой устойчивости.

Погрузитесь в Artificial Intelligence через яркие истории, превращающие уроки инноваций в запоминающиеся и применимые моменты.
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Создано выпускниками Колумбийского университета в Сан-Франциско
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Создано выпускниками Колумбийского университета в Сан-Франциско

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