In the book, you actually define the happiness equation. And I'd like to dig into that a little bit because you are an engineer,. You are a scientist, and you are a solver. And coming up with an equation that guides you and how you think about happiness is fairly simple. The original version wasn't. Let me simplify that for the book. But the first one had nine piece parameters. That was, is the simplified version still valid compared to the... I'm still younger than you. Right? Now, take that and go into definitions because we engineers, we love the finish. What does that make happiness? Happiness becomes a moment in your life where your perception of the
In this episode, Peter and Mo discuss happiness, how to achieve it, and how AI will play a role in our future of Abundance.
You will learn about:
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01:00 | AI: A Benefit or a Threat?
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52:44 | Setting Ambitions for Happiness
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01:52:25 | AI: Nurtured By Us Human
Mo Gawdat is a renowned entrepreneur, author, and advocate for happiness and well-being. With a background in engineering and technology, Gawdat has dedicated his career to exploring the intersection of happiness and human potential. As the former Chief Business Officer at Google [X], he played a pivotal role in developing moonshot projects aimed at solving some of the world's biggest challenges. Gawdat's insightful and transformative book, "Solve for Happy," has inspired countless individuals to reframe their perspectives and find joy in life's most challenging moments.
Read Mo’s best-selling books.
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Moonshots and Mindsets