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How to Train a Happy MindAuthor: Scott Snibbe
The How to Train a Happy Mind podcast brings meditation to modern people hungry for happy, meaningful lives. Each week, host Scott Snibbe and his guests share powerful mind training techniques that go beyond mindfulness to harness our intelligence, emotions, and imagination. Learn how to build a happy mind, fulfilling relationships, and a better world through a secular approach to meditation that is based on modern science and psychology, yet grounded in the authentic thousand-year old Tibetan Buddhist tradition of analytical meditation. How to Train a Happy Mind is a project of the nonprofit Skeptic's Path to Enlightenment. Our host, Scott Snibbe, is a twenty-five-year student of Tibetan Buddhism whose teachers include His Holiness the Dalai Lama and Lama Zopa Rinpoche. Snibbe is the author of the popular How to Train a Happy Mind book, and leads meditation classes and retreats worldwide infused with science, humor, and the realities of the modern world. Language: en-us Genres: Alternative Health, Buddhism, Health & Fitness, Religion & Spirituality Contact email: Get it Feed URL: Get it iTunes ID: Get it Trailer: |
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Generative Love: Using AI to Turn Lives Into Song #216
Episode 216
Tuesday, 3 March, 2026
In this solo episode, Scott Snibbe explores an unexpected intersection of AI, music, and love. After discovering the generative music platform Suno, he created deeply personalized songs for members of his family—turning their life stories, struggles, and triumphs into hyper-specific “love songs” in the Buddhist sense of wishing others happiness. As he shares the music and the emotional reactions it evokes, Scott reflects on how art (now amplified by AI) can transform even painful memories into meaning, lift low moods, and open the heart. Episode 216: Generative Love: Using AI to Turn Lives Into SongIf you’d like to practice with others and bring these ideas into your life, join our weekly meditation community with Scott. 🙏 Help us stay ad-free📲 Follow us on socials









