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«Ideas worth spreading»

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👁3 ways to use AI without replacing your coworkers
🧠Madison Mohns
🗣Subtitle: 🇬🇧English

👣As companies introduce AI into the workplace to increase productivity, an uncomfortable paradox is emerging: people are often responsible for training the very systems that might displace them. AI ethics advocate Madison Mohns presents three leadership principles to embrace technological progress while prioritizing your coworkers' well-being — paving the way for a future where AI enhances human potential.
🌐Page on TED.com

#AI #ethics #work #computers #machine_learning

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👁AI and the paradox of self-replacing workers
🧠Madison Mohns
🗣Subtitle: 🇬🇧English

👣As companies introduce AI into the workplace to increase productivity, an uncomfortable paradox is emerging: people are often responsible for training the very systems that might displace them. AI ethics advocate Madison Mohns presents three leadership principles to embrace technological progress while prioritizing your coworkers' well-being — paving the way for a future where AI enhances human potential.
🌐Page on TED.com

#AI #ethics #work #computers #machine_learning

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👁How to govern AI — even if it's hard to predict
🧠Helen Toner
🗣Subtitle: 🇬🇧English

👣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.
🌐Page on TED.com

#AI #technology #policy #machine_learning #computers #future #innovation

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👁Would you use a machine that predicts your future?
🧠Thomas Hofweber
🗣Subtitle: 🇬🇧English

👣A couple has been considering getting engaged, but they’re worried about divorce statistics. An AI-based model was just released that can predict your likelihood of divorce with 95% accuracy. The only catch is the model doesn’t offer any reasons for its results. So, should they decide whether or not to get married based on this AI’s prediction? Thomas Hofweber explores AI’s transparency problem. [Directed by Hannah Lau-Walker, narrated by Addison Anderson, music by Phil Brookes].
🌐Page on TED.com

#TED_Ed #education #animation #AI #technology #machine_learning #relationships #ethics

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👁Could AI predict the future?
🧠Thomas Hofweber
🗣Subtitle: 🇬🇧English

👣A couple has been considering getting engaged, but they’re worried about divorce statistics. An AI-based model was just released that can predict your likelihood of divorce with 95% accuracy. The only catch is the model doesn’t offer any reasons for its results. So, should they decide whether or not to get married based on this AI’s prediction? Thomas Hofweber explores AI’s transparency problem. [Directed by Hannah Lau-Walker, narrated by Addison Anderson, music by Phil Brookes].
🌐Page on TED.com

#TED_Ed #education #animation #AI #technology #machine_learning #relationships #ethics

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👁12 predictions for the future of technology
🧠Vinod Khosla
🗣Subtitle: 🇬🇧English

👣Techno-optimist Vinod Khosla believes in the world-changing power of "foolish ideas." He offers 12 bold predictions for the future of technology — from preventative medicine to car-free cities to planes that get us from New York to London in 90 minutes — and shows why a world of abundance awaits.
🌐Page on TED.com

#technology #future #AI #computers #machine_learning #innovation

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👁Why AI needs a "nutrition label"
🧠Kasia Chmielinski
🗣Subtitle: 🇬🇧English

👣What do sandwiches have to do with AI? Data reformist Kasia Chmielinski helps us think about artificial intelligence with a useful food metaphor — and breaks down why AI systems should have "nutrition labels" to ensure the development of fairer, more transparent algorithms.
🌐Page on TED.com

#AI #technology #machine_learning #data #computers #software #policy

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👁OpenAI's Sam Altman talks ChatGPT, AI agents and superintelligence — live at TED2025
🧠Sam Altman
🗣Subtitle: 🇬🇧English

👣The AI revolution is here to stay, says Sam Altman, the CEO of OpenAI. In a probing, live conversation with head of TED Chris Anderson, Altman discusses the astonishing growth of AI and shows how models like ChatGPT could soon become extensions of ourselves. He also addresses questions of safety, power and moral authority, reflecting on the world he envisions — where AI will almost certainly outpace human intelligence. (Recorded on April 11, 2025)
🌐Page on TED.com

#AI #machine_learning #technology #computers #data #media #Internet

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👁Fake videos of real people -- and how to spot them
🧠Supasorn Suwajanakorn
🗣Subtitle: 🇬🇧English | 🇹🇷Turkish

👣Do you think you're good at spotting fake videos, where famous people say things they've never said in real life? See how they're made in this astonishing talk and tech demo. Computer scientist Supasorn Suwajanakorn shows how, as a grad student, he used AI and 3D modeling to create photorealistic fake videos of people synced to audio. Learn more about both the ethical implications and the creative possibilities of this tech -- and the steps being taken to fight against its misuse.
🌐Page on TED.com

#AI #machine_learning #technology #invention #future #media #politics #history #software

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👁AI won't plateau — if we give it time to think
🧠Noam Brown
🗣Subtitle: 🇬🇧English

👣To get smarter, traditional AI models rely on exponential increases in the scale of data and computing power. Noam Brown, a leading research scientist at OpenAI, presents a potentially transformative shift in this paradigm. He reveals his work on OpenAI's new o1 model, which focuses on slower, more deliberate reasoning — much like how humans think — in order to solve complex problems.
🌐Page on TED.com

#AI #technology #machine_learning #computers #software #code

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👁Can Europe win the age of AI?
🧠Vlad Gozman
🗣Subtitle: 🇬🇧English

👣GitHub CEO Thomas Dohmke discusses Europe's readiness to lead the next era of AI innovation, examining how the continent's tech ecosystems stack up against those in the US. In conversation with TEDAI Vienna co-curator Vlad Gozman, Dohmke explains the three key shifts that will help Europe thrive in the age of AI — and shows how GitHub's initiatives can empower anyone to build new ideas around the world.
🌐Page on TED.com

#technology #AI #machine_learning #code #computers #Europe #software #education

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👁Can we build AI without losing control over it?
🧠Sam Harris
🗣Subtitle: 🇬🇧English | 🇹🇷Turkish

👣Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris -- and not just in some theoretical way. We're going to build superhuman machines, says Harris, but we haven't yet grappled with the problems associated with creating something that may treat us the way we treat ants.
🌐Page on TED.com

#brain #AI #history #future #humanity #innovation #invention #machine_learning #neuroscience

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👁What happens when our computers get smarter than we are?
🧠Nick Bostrom
🗣Subtitle: 🇬🇧English | 🇹🇷Turkish

👣Artificial intelligence is getting smarter by leaps and bounds -- within this century, research suggests, a computer AI could be as "smart" as a human being. And then, says Nick Bostrom, it will overtake us: "Machine intelligence is the last invention that humanity will ever need to make." A philosopher and technologist, Bostrom asks us to think hard about the world we're building right now, driven by thinking machines. Will our smart machines help to preserve humanity and our values -- or will they have values of their own?
🌐Page on TED.com

#AI #future #philosophy #technology #machine_learning

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👁Can AI predict someone's breakup?
🧠Thomas Hofweber
🗣Subtitle: 🇬🇧English | 🇹🇷Turkish

👣A couple has been considering getting engaged, but they’re worried about divorce statistics. An AI-based model was just released that can predict your likelihood of divorce with 95% accuracy. The only catch is the model doesn’t offer any reasons for its results. So, should they decide whether or not to get married based on this AI’s prediction? Thomas Hofweber explores AI’s transparency problem. [Directed by Hannah Lau-Walker, narrated by Addison Anderson, music by Phil Brookes].
🌐Page on TED.com

#TED_Ed #education #animation #AI #technology #machine_learning #relationships #ethics

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👁Why AI needs a "nutrition label"
🧠Kasia Chmielinski
🗣Subtitle: 🇬🇧English

👣What do sandwiches have to do with AI? Data reformist Kasia Chmielinski helps us think about artificial intelligence with a useful food metaphor — and breaks down why AI systems should have "nutrition labels" to ensure the development of fairer, more transparent algorithms.
🌐Page on TED.com

#AI #technology #machine_learning #data #computers #software #policy

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👁How AI is discovering athletes that human scouts miss
🧠Richard Felton-Thomas
🗣Subtitle: 🇬🇧English

👣What if the next Lionel Messi or Simone Biles is out there right now ... but no one knows? Sports scientist Richard Felton-Thomas shows how new AI tools are expanding the reach of talent discovery in sports, helping scouts find the next great superstar — and letting athletes showcase their skills from anywhere in the world.
🌐Page on TED.com

#AI #technology #sports #science #algorithm #machine_learning #computers

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👁3 possible futures for AI — which will we choose?
🧠Manoush Zomorodi
🗣Subtitle: 🇬🇧English

👣After decades working in technology across both the US and China, Alvin W. Graylin sees three possible paths for the future of AI: one where tech giants create a class of trillionaires, one where competition escalates into war or one where humanity builds and shares this technology for the common good. In conversation with TED Radio Hour host Manoush Zomorodi, Graylin cuts through the hype to clarify how we choose the right path.
🌐Page on TED.com

#AI #technology #future #policy #machine_learning

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👁How competition is stifling AI breakthroughs
🧠Llion Jones
🗣Subtitle: 🇬🇧English

👣Llion Jones cowrote "Attention Is All You Need," the seminal paper that introduced the transformer — the architecture that launched the generative AI revolution. Now he warns that the industry that grew out of this breakthrough is stifling the next one. Learn why the current corporate arms race is killing true innovation and how we can get back to bold exploration.
🌐Page on TED.com

#technology #AI #computers #machine_learning #competition

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👁How I created OpenClaw, the breakthrough AI agent
🧠Peter Steinberger
🗣Subtitle: 🇬🇧English

👣OpenClaw creator Peter Steinberger takes us back to the transformative moment he let his AI agent loose on the internet, igniting one of the world's fastest-growing open-source projects. He makes a fascinating (and slightly unnerving) case that agents are a real shift, not just better versions of chatbots, and explores how they might reshape your ability to work, build and create. "The lobster is loose, and it's not going back into the tank," he says. (Followed by a brief Q&A with TED Chairman Chris Anderson)
🌐Page on TED.com

#technology #AI #computers #machine_learning #Internet #artificial_intelligence

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👁Why humans should merge with AI
🧠D. Scott Phoenix
🗣Subtitle: 🇬🇧English

👣Deep tech entrepreneur D. Scott Phoenix spent years building AI — now, he believes we're on the cusp of a profound merger between humans and machines. Reframing the AI debate through the lens of evolutionary biology, he shifts the question from whether we should fear or embrace AI to whether we understand what's at stake if we get it wrong. Hear his provocative case for why we need to "eat the AI."
🌐Page on TED.com

#technology #AI #machine_learning #computers #history #evolution

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