Meta-learning

3 episodes about this topic

The thrill of not knowing all the answers | Harini Bhat

On TED Talks Daily, scientist and storyteller Harini Bhatt describes how embracing not knowing transformed her from a self-described "wannabe know-it-all" into the creator of the YouTube channel Today I Learned Science. She shares how following her curiosity about the Teotihuacan pyramids led to her first viral video and a mission to translate rigorous scientific research into captivating stories for everyone. Through striking examples-from a brain turned to glass, to new ideas about the origins of life, to watching an embryo implant in real time-she argues that science belongs to anyone willing to stay gloriously curious and keep asking why.

Nov 20, 2025 Society & Culture

Tim Ferriss: 4 Science-Backed Tools That Rewired Decades of Childhood Trauma & Depression

Tim Ferriss discusses his frameworks for learning quickly, choosing projects, and structuring life around relationships and energy rather than rigid long-term plans. He shares in depth about his history of childhood sexual abuse, severe depression, and near-suicide, and explains how he has used tools like psychedelic-assisted therapy, brain stimulation, and metabolic psychiatry to dramatically improve his mental health. The conversation also explores emerging bioelectric medicine, the importance of social connection, the pitfalls of modern dating, and practical practices like annual mini-retirements to sustain long-term well-being and productivity.

Nov 13, 2025 Business

How to Use AI to Make Money, Save Time, and Be More Productive

Mel Robbins interviews AI expert Allie K. Miller about how everyday people can practically use artificial intelligence to save time, make money, and improve their lives. Allie explains what AI and generative AI are in simple terms, outlines four main ways to interact with AI tools, and shares concrete examples from travel planning and cooking to job searches and caregiving. They also address risks and concerns such as hallucinations, job loss, over-reliance, data privacy, and environmental impact, while emphasizing that learning to use AI now is crucial, especially for women and knowledge workers.

Nov 6, 2025 Education