
Sign up to save your podcasts
Or


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 AI art, used skillfully, can transform even painful memories into meaning, lift low moods, and open the heart.
Episode 216: Generative Love: Using AI to Turn Lives Into Song
Join our third annual How to Train a Happy Mind three-day in-person retreat in California's redwoods August 13–16. LEARN MORE
If 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
By Scott Snibbe4.7
156156 ratings
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 AI art, used skillfully, can transform even painful memories into meaning, lift low moods, and open the heart.
Episode 216: Generative Love: Using AI to Turn Lives Into Song
Join our third annual How to Train a Happy Mind three-day in-person retreat in California's redwoods August 13–16. LEARN MORE
If 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

43,598 Listeners

2,570 Listeners

10,539 Listeners

2,632 Listeners

377 Listeners

842 Listeners

1,860 Listeners

1,480 Listeners

704 Listeners

946 Listeners

10,243 Listeners

12,769 Listeners

2,527 Listeners

1,367 Listeners

106 Listeners