Why Google fell behind in the AI race | The Indicator

Why Google fell behind in the AI race | The Indicator

When it comes to AI, Google’s Gemini does not have the same household recognition that Claude and ChatGPT do. One big explanation: the innovator’s dilemma. We explain how Google DeepMind CEO Demis Hassabis is trying to fight a lumbering company’s constraints to build AI superintelligence.  Sebastian Mallaby’s book is The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence (https://www.penguinrandomhouse.com/books/752231/the-infinity-machine-by-sebastian-mallaby/)   Fact checking by Sierra Juarez (https://www.npr.org/people/1268825622/sierra-juarez) .  Your Next Listen  — The inventor’s dilemma (https://www.npr.org/2023/05/31/1179235807/the-inventors-dilemma)   Connect with The Indicator  — Sign up for The Indicator’s brand new newsletter (https://npr.org/indicatornewsletter)   — Buy the Planet Money book (https://lnk.to/i3AukBdDWE)   — Find our socials, YouTube and more (https://linktr.ee/indicator_npr) ! — For sponsor-free episodes, subscribe to NPR+ (https://plus.npr.org/) See pcm.adswizz.com (https://pcm.adswizz.com) for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy (https://www.npr.org/about-npr/179878450/privacy-policy)