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Descubre un mundo infinito de historias

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Want TED Talks on the go? Everyday, this feed brings you our latest talks in audio format. Hear thought-provoking ideas on every subject imaginable – from Artificial Intelligence to Zoology, and everything in between – given by the world's leading thinkers and doers. This collection of talks, given at TED and TEDx conferences around the globe, is also available in video format.
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TED Talks Daily

How do you build a lifetime of love? After analyzing 450 couples across more than 40 countries, relational psychotherapist Sara Nasserzadeh discovered six essential ingredients for successful relationships (hint: it's not just about sexual chemistry). Learn more about "emergent love" — a new, evidence-based model for fostering the love you desire.

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The 6 essential ingredients of loving relationships | Sara Nasserzadeh

Your skin heals after a scratch. What if our roads, bridges and cities could self-repair after getting damaged, too? Scientist and engineer Mark Miodownik describes a new class of materials — animate matter — with the potential to sense damage, self-heal and even biodegrade when the job is done. Humanity's next great leap isn't making more stuff, he says — it's making stuff that doesn't fall apart.

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The brilliance of bridges and roads that repair themselves | Mark Miodownik

When it comes to sports, is there anything more evocative -- and elusive -- than "the zone"? That mythical place an athlete goes to where focus is laser-sharp, nothing can go wrong and time just vanishes. In this episode of Good Sport, a podcast from the TED Audio Collective, host Jody Avirgan talks to NBA All-Star great Steph Curry about what "the zone" means for him -- and whether or not it even exists. Then Jody works on his mental game with sports psychologist Dr. Nicole Detling and follows Olympic biathlete Clare Egan in a step-by-step guide on how to foster mental resilience after failure.

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Sunday Pick: The Truth About "The Zone" (with Steph Curry) | Good Sport

As AI tools get better at making music, will there be a time when machines move people more than musicians? Putting that question to the test, legendary hitmaker Jason "Poo Bear" Boyd joins journalist Elise Hu to discuss how new tech is changing the music industry — followed by a live performance where he battles his digital twin to see who can write a catchier song. (Poo Bear is joined onstage by musician Sasha Sirota.)

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A songwriting battle with my AI clone | Jason "Poo Bear" Boyd, Elise Hu

After building a smartphone app to bring eye care to millions of people in remote areas, eye surgeon and TED Fellow Andrew Bastawrous confronted a new question: What do we lose when health care chases speed and efficiency? He offers a quiet provocation for how to get better outcomes for patients and health care workers alike.

(Following the talk, Lily James Olds, director of the TED Fellows program, interviews Bastawrous on how his company, Peek Vision, is rethinking access to eye care. The surprising solution isn’t AI or optimization, but addressing the human behaviors that make patients feel more seen — starting with how doctors can be more compassionate.) 

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A different way to measure success in health care | Andrew Bastawrous

As AI agents take over more tasks at work, the question isn’t whether or not humans matter — it’s how we make our impact count. Leadership expert Vinciane Beauchene challenges some commonly held assumptions about how AI will transform the workplace, sharing a blueprint for leaders to design organizations where people can focus on what truly makes a difference.

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Will AI take your job in the next 10 years? Wrong question | Vinciane Beauchene

There's a common African proverb: "When elephants fight, it's the grass that suffers." Policy researcher Nanjira Sambuli says we must apply this thinking to today's AI evolution, asking: When tech giants battle for dominance, who gets trampled in the process? She introduces a new ethical compass for AI, showing how people across the continent are charting a different path for the future of tech.

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What ancestral intelligence can teach us about AI | Nanjira Sambuli

Can anyone become happier? Psychologist Sonja Lyubomirsky studies this question in her lab, doing experiments on "happiness interventions" to see what kinds of actions elicit this sought-after emotion. In a quick talk, she shares the results of her work: a small shift that can change your relationships and put you on the path to happiness.

Following the talk, Elise Hu, host of TED Talks Daily, interviews Lyubomirsky on additional changes people can do to feel more connected with each other in an increasingly online and chaotic world. 

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1 thing you can do today to be happier | Sonja Lyubomirsky

Hip-hop often gets blamed for its controversial lyrics. What if there was a way to actually measure its impact on people's lives? Analyzing 40 years' worth of radio station data and lyrics from rappers like Tupac, Dr. Dre, Jay-Z and Kendrick Lamar, economist Roland Fryer puts one of culture's most notorious debates on trial.

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In defense of hip-hop | Roland Fryer

Have you ever recalled a story only to have someone point out "that's not how it went"? Well, what happens when what we misrepresent are our historical narratives? David Ikard is a Professor of African American and Diaspora Studies at Vanderbilt University. In this episode, he talks about the societal and personal dangers of inaccurate history knowledge, and uncovers the real story of one of history’s most iconic figures. For the full text transcript, visit go.ted.com/BHTranscripts 

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Sunday Pick: How to think critically about history — and why it matters (w/ David Ikard)

Humans produce 300 million tons of new plastic each year -- yet, despite our best efforts, less than 10 percent of it ends up being recycled. Is there a better way to deal with all this waste? Microbiologist Morgan Vague studies bacteria that, through some creative adaptations, have evolved the unexpected ability to eat plastic -- and could help us solve our growing pollution problem.**

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This bacteria eats plastic | Morgan Vague

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