Marrying for love is a relatively recent phenomenon for humanity, and we still don't fully understand what it means for building successful relationships, says author and psychiatrist George Blair-West. Drawing from his extensive experience working with couples, he shares four questions every couple should ask themselves before tying the knot — and...

In a scorching talk, marketing professor and podcaster Scott Galloway dissects the data showing that, by many measures, young people in the US are worse off financially than ever before. He unpacks the root causes and effects of this "great intergenerational theft," asking why we let it continue and showing how we could make it end. (Note: This talk...

No one truly understands AI, not even experts, says Helen Toner, an AI policy researcher and former board member of OpenAI. But that doesn't mean we can't govern it. She shows how we can make smart policies to regulate this technology even as we struggle to predict where it's headed — and why the right actions, right now, can shape the future we want.

As climate change leads to more and more natural disasters, a group of workers is showing up at one site after another to rebuild and repair. Labor organizer Saket Soni tells the stories of Resilience Force — the group of mostly immigrant workers restoring homes after hurricanes, floods and fires — and describes the unexpected bonds developing between...

What challenges lie ahead of a staggering 12,700-kilometer paddle around the entire continent of Australia? Crocodiles and sharks were just the beginning, says Ironwoman Bonnie Hancock. Reflecting on her remarkable feat of becoming the fastest person to paddle around Australia, she shares lessons on perseverance, resilience and finding meaning in life's...

Can AI help us answer life's biggest questions? In this visionary conversation, Google DeepMind cofounder and CEO Demis Hassabis delves into the history and incredible capabilities of AI with head of TED Chris Anderson. Hassabis explains how AI models like AlphaFold — which accurately predicted the shapes of all 200 million proteins known to science...