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3 episodes with fei fei li
3 episodes with fei fei li
2 episodes with fei fei li
2 episodes with fei fei li
2 episodes with fei fei li
3 episodes with fei fei li
2 episodes with fei fei li
2 episodes with fei fei li
2 episodes with fei fei li
Dr. Fei-Fei Li is known as the “godmother of AI.” She's been at the center of AI's biggest breakthroughs for over two decades. She spearheaded ImageNet, the dataset that sparked the deep-learning revolution we're living right now, served as Google Cloud's Chief AI Scientist, directed Stanford's Artificial Intelligence Lab, and co-founded Stanford's Institute for Human-Centered AI. In this conversation, Fei-Fei shares the rarely told history of how we got here—including the wild fact that just nine years ago, calling yourself an AI company was basically a death sentence.We discuss:1. How ImageNet helped spark the AI explosion we're living through2. Why world models and spatial intelligence represent the next frontier in AI, beyond large language models3. Why Fei-Fei believes AI won't replace humans but will require us to take responsibility for ourselves4. The surprising applications of Marble, from movie production to psychological research5. Why robotics faces unique challenges compared with language models and what's needed to overcome them6. How to participate in AI regardless of your role—Brought to you by:Figma Make—A prompt-to-code tool for making ideas realJustworks—The all-in-one HR solution for managing your small business with confidenceSinch—Build messaging, email, and calling into your product—Transcript: https://www.lennysnewsletter.com/p/the-godmother-of-ai—My biggest takeaways (for paid newsletter subscribers):https://www.lennysnewsletter.com/i/178223233/my-biggest-takeaways-from-this-conversation—Where to find Dr. Fei-Fei Li• X: https://x.com/drfeifei• LinkedIn: https://www.linkedin.com/in/fei-fei-li-4541247• World Labs: https://www.worldlabs.ai—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Dr. Fei-Fei Li(05:31) The evolution of AI(09:37) The birth of ImageNet(17:25) The rise of deep learning(23:53) The future of AI and AGI(29:51) Introduction to world models(40:45) The bitter lesson in AI and robotics(48:02) Introducing Marble, a revolutionary product(51:00) Applications and use cases of Marble(01:01:01) The founder's journey and insights(01:10:05) Human-centered AI at Stanford(01:14:24) The role of AI in various professions(01:18:16) Conclusion and final thoughts—References: https://www.lennysnewsletter.com/p/the-godmother-of-ai—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Are current AI models smart enough to rule the world — or just house cats with fancy vocabulary?This week, a tectonic shift is happening in AI: Meta's chief scientist Jan LeCun quits to chase world models, Fei-Fei Li launches Marble, a spatial intelligence engine, and DeepMind drops CMA-2, a self-taught gamer bot that might be the blueprint for AGI.Meanwhile, OpenAI releases GPT-5.1 — and China's Kimi K2 and Ernie 5.0 roll out shockingly powerful, ultra-low-cost models. The AI race isn't just about intelligence anymore — it's about who can afford to scale.If you lead a business, this episode explains why spatial intelligence, not language, may soon be your competitive edge. The next wave of AI isn't just about better answers, it's about deeper understanding, real-world interaction, and models that scale affordably. If you're not watching spatial intelligence, you're already behind.About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
Fei-Fei Li and Justin Johnson are pioneers in AI. While the world has only recently witnessed a surge in consumer AI, they have long been laying the groundwork for the innovations transforming industries today.With the recent launch of Marble, the first product from their company World Labs, we are revisiting this conversation to explore the ideas that started it all. World Labs is focused on spatial intelligence, building Large World Models that can perceive, generate, and interact with the 3D world. Marble brings that vision to life, allowing anyone, from individual creators to major platforms, to generate 3D scenes directly from text or image prompts and turn complex 3D creation into a simple, creative process.In this episode, a16z general partner Martin Casado talks with Fei-Fei and Justin about the journey from early AI winters to the rise of deep learning and multimodal AI. From foundational breakthroughs like ImageNet to the cutting-edge realm of spatial intelligence, they discuss the evolution of the field and what is next for innovation at World Labs. Timecode:0:00 – The Next Decade of AI2:45 – Origins: Backgrounds of the Founders6:50 – The Rise of Deep Learning & ImageNet8:00 – Algorithmic Unlocks: Compute, Data, and Supervised Learning12:00 – From Predictive to Generative AI16:20 – The Journey to Spatial Intelligence18:35 – Defining Spatial Intelligence21:15 – 3D Data, Computer Vision, and Breakthroughs23:15 – Reconstruction vs. Generation in Computer Vision24:45 – Spatial Intelligence vs. Language Models29:00 – Applications: Virtual, Augmented, and Physical Worlds39:55 – Building World Labs: Team and Vision41:55 – The North Star: Measuring Success in Spatial Intelligence Resources:Learn more about World Labs: https://www.worldlabs.aiLearn more about Marble: https://Marble.WorldLabs.aiFind Fei-Fei on Twitter: https://x.com/drfeifeiFind Justin on Twitter: https://x.com/jcjohnssFind Martin on Twitter: https://x.com/martin_casado Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Forget text-to-video AI, we're rapidly moving into the text-to-world-generating AI models. What if you showed up to your Airbnb and the fridge was already fully stocked? It seems like there is NO uncanney valley when it comes to AI generated music. And does the Big Short guy have a point when he concern trolls about the AI CAPEX buildout? Fei-Fei Li's World Labs speeds up the world model race with Marble, its first commercial product (TechCrunch) Airbnb Will Test Adding Instacart Grocery Delivery to Its App in Services Push (Bloomberg) Are you listening to bots? Survey shows AI music is virtually undetectable (Reuters) 50,000 AI tracks flood Deezer daily – as study shows 97% of listeners can't tell the difference between human-made vs. fully AI-generated music (MusicBusinessWorldwide) The AI Bubble Is Ignoring Michael Burry's Fears (Bloomberg) Learn more about your ad choices. Visit megaphone.fm/adchoices
The AI Breakdown: Daily Artificial Intelligence News and Discussions
Today on the AI Daily Brief, NLW covers two stories that may signal a major shift in the AI landscape: Yann LeCun's departure from Meta and Dr. Fei-Fei Li's new argument that spatial intelligence and world models—not just LLMs—will define the next era of AI, exploring what world models actually are, why some researchers think they're essential for robotics, science, and creativity, and how this connects to Meta's internal reorg. Plus in the headlines: Eleven Labs' celebrity voice marketplace, SoftBank's Nvidia liquidation, AMD's push to challenge Nvidia, Blue Owl's $3B Stargate investment, and the surprising surge in Meta AI traffic.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. https://www.kpmg.us/AIpodcastsRovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - https://rovo.com/AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/briefBlitzy.com - Go to https://blitzy.com/ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai
Now on Spotify Video! As a Stanford AI scientist, Dr. Fei-Fei Li realized that artificial intelligence had advanced to a point where it was transforming society faster than most people could understand. Confronted with the ethical, social, and economic risks of this rapid growth, she felt a deep responsibility to guide AI toward serving humanity. This inspired her to co-found the Stanford Institute for Human-Centered AI, developing a framework that prioritizes humankind. In this episode, Dr. Fei-Fei shares how we can harness AI responsibly and design technology that enhances, not replaces, human potential. In this episode, Hala and Dr. Fei-Fei will discuss: (00:00) Introduction (02:33) The Evolution and Limits of Artificial Intelligence (09:56) How AI Models Like ChatGPT Are Trained (14:12) Dr. Fei-Fei's Journey and Responsibility in AI (19:15) How Computer Vision Brings AI to Life (25:59) Ethical AI, Human Dignity, and the Future of Work (32:57) The Three Pillars of Human-Centered AI (35:10) Confronting Fears of AI in Action (39:59) AI in Business: How Entrepreneurs Can Thrive Dr. Fei-Fei Li is a professor of computer science at Stanford University and co-director of the Stanford Institute for Human-Centered AI. Her groundbreaking work in computer vision AI has shaped how machines see and understand the world. Dr. Fei-Fei is the author of The World's I See, a memoir that weaves together her personal journey with the history and development of artificial intelligence. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING Shopify - Start your $1/month trial at Shopify.com/profiting. Quo - Get 20% off your first 6 months at Quo.com/PROFITING Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order. DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host Resources Mentioned: Dr. Fei-Fei's Book, The Worlds I See: bit.ly/WorldsISee Stanford Human-Centered AI Institute Website: hai.stanford.edu/ Active Deals - youngandprofiting.com/deals Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, AI Marketing, Prompt, Generative AI, AI for Entrepreneurs, AI Podcast
This episode was recorded at https://www.imaginationinaction.co/ Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends Eric Schmidt is the former CEO of Google; Chair and CEO of Relativity Space. Fei-Fei Li is an AI researcher & professor at Stanford University; Co-director at Stanford Human-Centered AI Institute. _ Connect with Peter: X Instagram Connect with Eric: X Linkedin His latest book Connect with Fei-Fei Li X Linkedin Her latest book Listen to MOONSHOTS: Apple YouTube – *Recorded on October 27th, 2025 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices
No Priors: Artificial Intelligence | Machine Learning | Technology | Startups
2025 has thus far been a year of great leaps and advances in AI technology. And Sarah and Elad have spoken with some of the most enterprising founders and scientific minds in the field of AI today. So we're revisiting a few of our favorite conversations on No Priors so far in 2025 – Winston Weinberg (Harvey), Dr. Fei-Fei Li (World Labs), Brendan Foody (Mercor), Dan Hendrycks (Center for AI Safety), Noubar Afeyan (Flagship Pioneering), Brandon McKinzie and Eric Mitchell (OpenAI o3), Isa Fulford (OpenAI), Arvind Jain (Glen), and Dr. Shiv Rao (Abridge). Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil Chapters: 00:00 – Episode Introduction 0:21 – Winston Weinberg on Leaning into New Capabilities 02:01 – Dr. Fei-Fei Li on Spatial Intelligence 04:13 – Brendan Foody on AI Disruption in the Workforce 06:10 – Dan Hendrycks on the Geopolitics of Superintelligence 08:06 – Noubar Afeyan on Entrepreneurship 10:38 – Brandon McKinzie and Eric Mitchell on Reasoning Models 12:41 – Isa Fulford on Training Deep Research 13:49 – Arvind Jain on Innovating Enterprise Search 16:21 – Dr. Shiv Rao on AI's Human Impact 18:58 – Conclusion
If/Then: Research findings to help us navigate complex issues in business, leadership, and society
This week on If/Then, we're sharing an episode of What's Your Problem?, a show from Pushkin Industries where entrepreneurs, engineers, and scientists talk about the future they're trying to build—and the problems they must solve to get there. Hosted by former Planet Money co-host Jacob Goldstein, each conversation explores the challenges and breakthroughs shaping the next wave of innovation.In this episode, Goldstein speaks with Fei-Fei Li, Stanford computer scientist, former Chief Scientist of AI and Machine Learning at Google, and one of the most influential figures in the field of computer vision. Li reflects on her pioneering work developing ImageNet, the massive dataset that helped spark the modern AI revolution, and the “north star” questions that have guided her research from neuroscience to machine learning.Together, they trace how a single insight about how humans see the world led to a paradigm shift in artificial intelligence—and how Li's vision continues to shape the way we teach machines to see, learn, and collaborate with us.More Resources: • Fei Fei Li • Stanford Institute for Human-Centered Artificial Intelligence (HAI) • ImageNet • What's Your Problem?If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.Chapters: (00:00:00) Introducing “What's Your Problem?” Kevin Cool introduces the Pushkin Industries podcast hosted by Jacob Goldstein.00:00:45 — What Is Computer Vision? Jacob Goldstein and Fei-Fei Li explain how machines learn to see and interpret images.00:03:18 — Real-World Uses of AI Vision Li shares examples from healthcare, robotics, and environmental science.00:05:06 — Discovering the Science of SeeingHow human vision research inspired Li's lifelong “north star” in AI.00:09:56 — Creating ImageNet Li builds a massive image database that transforms computer vision research.00:13:29 — Defining 30,000 Visual Concepts How cognitive science helped shape ImageNet's massive scale.00:16:41 — Building the Dataset by HandLi's team uses global crowdsourcing to label millions of images.00:19:38 — The 2012 Breakthrough Jeff Hinton's neural network shatters records and sparks the deep learning era.00:22:19 — Data Meets Hardware Li reflects on how big data and GPUs converged to power modern AI.00:24:55 — Lightning Round with Fei-Fei Li Quick insights on resilience, mentorship, and the future of human-AI collaboration.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Author and experience designer Caitlin Krause joins Coffey & Code to unpack digital wellbeing beyond buzzwords: agency over algorithms, the “presence pyramid,” culture cornerstones (dignity, freedom, invention, agency), and practical ways to design for authentic connection in an age of AI, agents, and XR. The conversation spans data ownership, interoperable “internet of agents” ideas like Project NANDA, the loneliness epidemic, and responsible product choices that reduce harm and increase belongingEpisode At A Glance:Define “digital wellbeing” without the hype: aligning intention and attention; context over one-size-fits-all rulesAgency over algorithms: opting into platforms and practices that honor user choice, not just engagement metricsPresence Pyramid & somatic awareness: embodied practices that translate across 2D, XR, and spatial environmentsCulture Cornerstones: dignity → freedom → invention → agency as a repeatable loop for teams and communitiesFrom silos to interoperability: why open protocols for AI agents matter (e.g., Project NANDA)Designing for belonging: move beyond performative social to ambient, low-stakes co-presence that reduces lonelinessSafety first: name harms clearly; pair AI with human support paths and mood check-ins after useResources Mentioned:Digital Well-being (book) by Caitlin Krause; also: Designing Wonder, Mindful by DesignPresence Pyramid (framework)Project NANDA: Networked AI Agents and Decentralized ArchitectureStanford HAI; MIT Media Lab; AR in ActionResearch/voices referenced: Esther Perel, Sherry Turkle, Brené Brown, Fei-Fei Li, Ramesh Raskar, David EaglemanOn anthropomorphism of AI (NPR segment)988 Suicide & Crisis Lifeline (US) EPISODE CREDITS:Produced and edited by Ashley Coffey. Cover art designed by Ashley Coffey.Headshot by Brandlink MediaIntroduction music composed and produced by Ashley Coffey LINKSFollow Coffey & Code on Instagram, Facebook, Linkedin, and YouTube for the latest emerging tech updates! Subscribe to the Coffey & Code Podcast wherever you get your podcasts to be notified when new episodes go live. © 2025 Coffey & Code Podcast. All rights reserved. The content of this podcast, including but not limited to text, graphics, audio, and images, is the property of Ashley Coffey and may not be reproduced, redistributed, or used in any manner without the express written consent of the owner. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Every year, the second Tuesday in October is designated as Ada Lovelace Day as a tribute to its namesake, Ada Lovelace, the 19th century mathematician and pioneering computer programmer who collaborated with Charles Babbage on the design of his remarkable mechanical computer, the Analytical Machine. To celebrate Ada Lovelace Day 2025, Alice and Paola are dedicating this special episode of Design Emergency to celebrating her achievements and those of other remarkable women who have honoured Ada's legacy in different ways, making crucial contributions to the digital age. .Some of them have designed and delivered transformational advances in technology, such as Britain's ingenious female code-breakers at Bletchley Park during World War II, Ida Holz, the Uruguayan computer scientist and engineer who pioneered the internet in Latin America, and Stacy Horn, who designed one of the first online communities in ECHO..Others have developed inspiring ways of improving existing systems: both by alerting us to new possibilities, and by identifying or defusing unexpected dangers, as the Chinese-born, US-based computer scientist Fei-Fei Li has done, and the Kenyan tech designer and activist, Juliana Rotich. While Jay-Ann Lopez, founder of the global network of Black Girl Gamers and new media pioneer, Lynn Hershman Leeson, are at the forefront of challenging stereotypes and championing diversity, inclusivity and equity within tech design, thereby helping to make it fitter for purpose and to realise its true potential. .We hope you'll enjoy this episode. You can find images of the projects Alice and Paola describe on our Instagram @design.emergency. Please join us for future episodes of Design Emergency when we will hear from inspiring global design leaders who are in the forefront of forging positive change..Design Emergency is supported by a grant from the Graham Foundation for Advanced Studies in the Fine Arts Hosted on Acast. See acast.com/privacy for more information.
In a special Future of Everything podcast episode recorded live before a studio audience in New York, host Russ Altman talks to three authorities on the innovation economy. His guests – Fei-Fei Li, professor of computer science and co-director of the Stanford Institute for Human-Centered AI (HAI); Susan Athey, professor and authority on the economics of technology; and Neale Mahoney, Trione Director of the Stanford Institute for Economic Policy Research – bring their distinct-but-complementary perspectives to a discussion on how artificial intelligence is reshaping our economy.Athey emphasizes that both AI broadly and AI-based coding tools specifically are general-purpose technologies, like electricity or the personal computer, whose impact may be felt quickly in certain sectors but much more slowly in aggregate. She tells how solving one bottleneck to implementation often reveals others – whether in digitization, adoption costs, or the need to restructure work and organizations. Mahoney draws on economic history to say we are in a “veil of ignorance” moment with regard to societal impacts. We cannot know whose jobs will be disrupted, he says, but we can invest in safety nets now to ease the transition. Li cautions against assuming AI will replace people. Instead, she speaks of AI as a “horizontal technology” that could supercharge human creativity – but only if it is properly rooted in science, not science fiction.Collectively, the panel calls on policymakers, educators, researchers, and entrepreneurs to steer AI toward what they call “human-centered goals” – protecting workers, growing opportunities, and supercharging education and medicine – to deliver broad and shared prosperity. It's the future of the innovation economy on this episode of Stanford Engineering's The Future of Everything podcast.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: Fei-Fei LiStanford Profile: Susan AtheyStanford Profile: Neale MahoneyConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces live guests Fei-Fei Li, Susan Athey, and Neale Mahoney, professors from Stanford University.(00:02:37) Lessons from Past TechnologyComparing AI with past technologies and the bottlenecks to their adoption.(00:06:29) Jobs & Safety NetsThe uncertainty of AI's labor impact and investing in social protections.(00:08:29) Augmentation vs. ReplacementUsing AI as a tool to enhance, not replace, human work and creativity.(00:11:41) Human-Centered AI & PolicyShaping AI through universities, government, and global collaboration.(00:15:58) Education RevolutionThe potential for AI to revolutionize education by focusing on human capital.(00:18:58) Balancing Regulation & InnovationBalancing pragmatic, evidence-based AI policy with entrepreneurship.(00:22:22) Competition & Market PowerThe risks of monopolies and the role of open models in fair pricing.(00:25:22) America's Economic FunkHow social media and innovation are shaping America's declining optimism.(00:27:05) Future in a MinuteThe panel shares what gives them hope and what they'd study today.(00:30:49) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
This week on “Paul, Weiss Waking Up With AI,” Katherine Forrest and Anna Gressel explore the rapid advancements and real-world applications of AI world models, highlighting cutting-edge developments like Google DeepMind's Genie 3, Fei-Fei Li's World Labs and Microsoft Muse. ## Learn More About Paul, Weiss's Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence
In this episode of Become Your Own Boss, Monica welcomes back business partner and resident AI expert Ethan King to unpack the latest AI breakthroughs that every small business owner should be using right now. From AI agents that can take real actions on your behalf, to study modes that quiz your team (or your kids), to building full-blown apps without writing a line of code—this episode will open your eyes to what's really possible with today's AI tools. If you've ever thought “I wish I had an app for that,” or “there's got to be an easier way,” this conversation is for you.Episode Quote: Artificial intelligence is not a substitute for human intelligence. It is a tool to amplify human creativity and ingenuity. ~Fei-Fei Li.What You Will Learn in This EpisodeHow to use AI agents to handle tasks like a digital assistantHow to train your team using ChatGPT's new study modeHow to run deep research on people and companies in minutesHow to build a working app or game using one simple promptHow to use AI to create videos, images, and even Super Bowl-worthy adsHow to get your AI model to truly know you for smarter, faster resultsGuest: Ethan King - Speaker, Entrepreneur, Author & more.Grab the book ChatGPT to Double your Business in 90 DaysEpisode Sponsor - Zeus' Closet Helpful Entrepreneurial Resources from Become Your Own BossSubscribe to the Level Up Living NewsletterMonica FREE ebookGet your Become Your Own Boss PlannerWays to reach Monica:Instagram: @becomeyourownbosspodcastEmail: monica@monicaallen.com
Historian Andrew Roberts is joined by former U.S. Secretary of State and current Director of the Hoover Institution Condoleezza Rice for a dive deep into today's international hotspots—including Russia's invasion of Ukraine, rising tensions with China over Taiwan, and the complex relationships between Russia, China, Iran, and North Korea. Their discussion also covers how leaders draw lessons from history, what might tip the world into a new Cold War, and how nations might address these evolving challenges. Director Rice also gives her thoughts on the rapid rise of artificial intelligence— which includes her recommended read, The Worlds I See by Fei-Fei Li, the Founding Co-Director of Stanford's Human-Centered AI Institute.
In this episode, Carrol Chang, CEO of Andela, and Juliana Ospina, Global EdTech Lead at the International Finance Corporation (IFC), join Bob Hawkins from the World Bank to explore how digital skills and AI are unlocking new job opportunities for youth, especially in Africa. They unpack the rise of demand-driven, scalable training models, the power of global talent marketplaces and the importance of public-private collaboration. From coding in remote villages to the future of work shaped by AI, this conversation looks at how to build more inclusive, connected, and future-ready education systems.Learn more:Andela – Global Talent MarketplaceInternational Finance Corporation (IFC) – Education Open Talent by John Winsor (book)The Worlds I See by Fei-Fei Li (book)World Bank Podcast: Ethiopia's Education and Skills for Employability (EASE)A podcast produced by Lucia Blasco.
No Priors: Artificial Intelligence | Machine Learning | Technology | Startups
In this episode of No Priors, Sarah and Elad are joined by Dr. Fei-Fei Li, AI pioneer, co-director of Stanford's Human-Centered AI Institute, and founder of World Labs. Fei-Fei shares why she's building at the intersection of embodiment and intelligence, and what today's AI systems are still missing. From the early days of ImageNet to her vision for the next generation of robotics, she unpacks the human and technical motivations behind World Labs. They also discuss the challenges of 3D world modeling, her approach to building exceptional teams, and the special qualities that have led her students like Andrej Karpathy to make major breakthroughs. Show Notes: 0:00 Why and what Dr. Fei-Fei Li is building 3:00 World models at World Labs 6:44 Missing gaps in the AI future 9:16 Robotics and physical intelligence 16:15 Greatest challenges of 3D 19:08 Fei-Fei's work in PhD in ImageNet 23:05 Special moments in Dr. Li's career 29:33 Building teams 32:05 Human-centered AI
What if the next leap in artificial intelligence isn't about better language—but better understanding of space?In this episode, a16z General Partner Erik Torenberg moderates a conversation with Fei-Fei Li, cofounder and CEO of World Labs, and a16z General Partner Martin Casado, an early investor in the company. Together, they dive into the concept of world models—AI systems that can understand and reason about the 3D, physical world, not just generate text.Often called the “godmother of AI,” Fei-Fei explains why spatial intelligence is a fundamental and still-missing piece of today's AI—and why she's building an entire company to solve it. Martin shares how he and Fei-Fei aligned on this vision long before it became fashionable, and why it could reshape the future of robotics, creativity, and computational interfaces.From the limits of LLMs to the promise of embodied intelligence, this conversation blends personal stories with deep technical insights—exploring what it really means to build AI that understands the real (and virtual) world.Resources: Find Fei-Fei on X: https://x.com/drfeifeiFind Martin on X: https://x.com/martin_casadoLearn more about World Labs: https://www.worldlabs.ai/ Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Dr. Fei-Fei Li, known as the godmother of AI, talks to Margaret Hoover about the ethical development of artificial intelligence and the challenge of regulating the rapidly advancing technology.Li, who recently received a lifetime achievement award at the Webbys for her AI research, explains why she focuses her work on “human-centered AI” and how she believes human dignity can be protected as AI progresses.Li discusses the role of government funding in academic research and the importance of diversity in science, and she outlines a pragmatic approach to AI governance rooted in science, rather than science fiction.Li, co-founder of Stanford's Human-Centered AI Institute, comments on the AI race between the U.S. and China, the concerns raised by potential military applications of the technology, and whether it is safe to place AI in the hands of children.Support for “Firing Line for Margaret Hoover” is provided by Robert Granieri, Vanessa and Henry Cornell, The Fairweather Foundation, Peter and Mark Kalikow, Cliff and Laurel Asness, The Meadowlark Foundation, The Beth and Ravenel Curry Foundation, Charles R. Schwab, The Marc Haas Foundation, Katharine J. Rayner, Damon Button, Craig Newmark Philanthropies, The Philip I Kent Foundation, Annie Lamont through The Lamont Family Fund, Lindsay and George Billingsley, The Susan Rasinski McCaw Fund, Cheryl Cohen Effron and Blair Effron, and Al and Kathy Hubbard. Corporate funding is provided by Stephens Inc.
If we want to make progress toward AGI, we need a clear definition of intelligence—and a way to measure it. In this episode, Hugo talks with Greg Kamradt, President of the ARC Prize Foundation, about ARC-AGI: a benchmark built on Francois Chollet's definition of intelligence as “the efficiency at which you learn new things.” Unlike most evals that focus on memorization or task completion, ARC is designed to measure generalization—and expose where today's top models fall short. They discuss:
The late biologist E.O. Wilson said that “the real problem of humanity is the following: We have Paleolithic emotions, medieval institutions, and god-like technology. And it is terrifically dangerous.” Wilson said that back in 2011, long before any of us were talking about large language models or GPTs. A little more than a decade later, artificial intelligence is already completely transforming our world. Practitioners and experts have compared A.I. to the advent of electricity and fire itself. “God-like” doesn't seem that far off. Even sober experts predict disease cures and radically expanded lifespans, real-time disaster prediction and response, the elimination of language barriers, and other earthly miracles. A.I. is amazing, in the truest sense of that word. It is also leading some to predict nothing less than a crisis in what it means to be human in an age of brilliant machines. Others—including some of the people creating this technology—predict our possible extinction as a species. But you don't have to go quite that far to imagine the way it will transform our relationship toward information and our ability to pursue the truth. For tens of thousands of years, since humans started to stand upright and talk to each other, we've found our way to wisdom through disagreement and debate. But in the age of A.I., our sources of truth are machines that spit out the information we already have, reflecting our biases and our blind spots. What happens to truth when we no longer wrestle with it—and only receive it passively? When disagreeable, complicated human beings are replaced with A.I. chatbots that just tell us what we want to hear? It makes today's concerns about misinformation and disinformation seem quaint. Our ability to detect whether something is real or an A.I.-generated fabrication is approaching zero. And unlike social media—a network of people that we instinctively know can be wrong—A.I. systems have a veneer of omniscience, despite being riddled with the biases of the humans who trained them. Meanwhile, a global arms race is underway, with the U.S. and China competing to decide who gets to control the authoritative information source of the future. So last week Bari traveled to San Francisco to host a debate on whether this remarkable, revolutionary technology will enhance our understanding of the world and bring us closer to the truth . . .or do just the opposite. The resolution: The Truth Will Survive Artificial Intelligence! Aravind Srinivas argued yes—the truth will survive A.I. Aravind is the CEO of one of the most exciting companies in this field, Perplexity, which he co-founded in 2022 after working at OpenAI, Google, and DeepMind. Aravind was joined by Dr. Fei-Fei Li. Fei-Fei is a professor of computer science at Stanford, the founding co-director of the Stanford Institute for Human-Centered A.I., and the CEO and co-founder of World Labs, an A.I. company focusing on spatial intelligence and generative A.I. Jaron Lanier argued that no, the truth will not survive A.I. Jaron is a computer scientist, best-selling author, and the founder of VPL Research, the first company to sell virtual reality products. Jaron was joined by Nicholas Carr, the author of countless best-selling books on the human consequences of technology, including Pulitzer Prize finalist The Shallows, The Glass Cage, and, most recently, Superbloom. He also writes the wonderful Substack New Cartographies. Learn more about your ad choices. Visit megaphone.fm/adchoices
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Check out Hugo's latest episode with Fei-Fei Li, on How Human-Centered AI Actually Gets BuiltIntro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Computational cognitive science seeks to understand intelligence mathematically.Bayesian statistics is crucial for understanding human cognition.Inductive biases help explain how humans learn from limited data.Eliciting prior distributions can reveal implicit beliefs.The wisdom of individuals can provide richer insights than averaging group responses.Generative AI can mimic human cognitive processes.Human intelligence is shaped by constraints of data, computation, and communication.AI systems operate under different constraints than human cognition. Human intelligence differs fundamentally from machine intelligence.Generative AI can complement and enhance human learning.AI systems currently lack intrinsic human compatibility.Language training in AI helps align its understanding with human perspectives.Reinforcement learning from human feedback can lead to misalignment of AI goals.Representational alignment can improve AI's understanding of human concepts.AI can help humans make better decisions by providing relevant information.Research should focus on solving problems rather than just methods.Chapters:00:00 Understanding Computational Cognitive Science13:52 Bayesian Models and Human Cognition29:50 Eliciting Implicit Prior Distributions38:07 The Relationship Between Human and AI Intelligence45:15 Aligning Human and Machine Preferences50:26 Innovations in AI and Human Interaction55:35 Resource Rationality in Decision Making01:00:07 Language Learning in AI Models
Loneliness is a public health crisis affecting people of all ages.This week on Possible, Reid and Aria sit down with someone using AI to bridge generational gaps and combat the loneliness epidemic. Dana Griffin is co-founder and CEO of Eldera, a global platform using AI to foster intergenerational connections. Raised by her grandparents and mentored by older adults throughout her life, Dana is on a mission to help people see aging as an asset. Dana shares how Eldera uses AI to safely and meaningfully connect kids with older mentors, addressing loneliness, declining mental health, and lost wisdom. They explore how technology can support human connection—rather than replace it—along with what an "age-integrated society” could unlock. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ Topics: 1:20 - Episode introduction 3:37 - Dana's early life and how it shaped her perspective on intergenerational bonds 6:09 - How ageism creates a waste of human potential 9:01 - Policy and tech solutions can help reintegrate older adults 12:11 - Social media worsens isolation, but AI can help foster real connection 14:31 - Eldera's mission of bridging generations through AI-powered mentorship 18:52 - Opposite backgrounds create stronger bonds when matching mentors and mentees 22:44 - Intergenerational mentorship as a form of healthcare 26:34 - Using AI to map and amplify generational knowledge 30:26 - Midroll ad break 30:35 - AI enhances, but never replaces, human connection 34:05 - Encouraging confidence among older adults through Eldera's wisdom portrait 37:26 - Scaling Eldera and working towards a society where we value the impact of elders 41:17 - The barriers and opportunities of scaling Eldera 44:34 - How cultural perspectives and global views on aging shape intergenerational ties 48:33 - Rapid fire Select mentions: Fei-Fei Li on spatial intelligence and human-centered AI Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. Each episode seeks to advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.
Fei-Fei Li is a pioneering AI scientist breaking new ground in computer vision, a Stanford professor, and currently leading the innovative start-up World Labs. While her career is deeply rooted in technical expertise, Dr. Li's journey is driven by an insatiable curiosity. In this episode, Brad and Dr. Li reflect on poignant moments from her memoir, "The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI," highlighting the crucial role of keeping humanity at the center of AI development. They also explore how government-funded academic research, driven by curiosity rather than profits, can lead to unexpected and profound discoveries that propel innovation and economic opportunities.Click here for the episode transcript.
How can we use AI to amplify human potential and build a better future? And what exactly does “AGI” even mean? To kick off Possible's fourth season, Reid and Aria sit down with world-renowned computer scientist Fei-Fei Li, whose work in artificial intelligence over the past several decades has earned her the nickname “the godmother of AI.” An entrepreneur and professor, Fei-Fei shares her journey from creating ImageNet, a massive dataset of labeled images that revolutionized computer vision, to her current role as co-founder and CEO of the spatial intelligence startup World Labs. She explains why spatial intelligence—the ability to perceive and interact with the 3D world—is so crucial for AI's development and how it could lead to breakthroughs in fields like medicine, climate, and education. They get into regulatory guardrails, governance, and what it will take to build a positive, human-centered AI future for all. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ Topics: 1:55 - Hellos and intros 3:43 - ImageNet and the interplay between data and models 6:06 - World Labs and spatial intelligence 10:03 - Boundaries between 3D physical and digital worlds 11:50 - The difference between LLMs and LWMs 13:02 - What humans are capable of creating with technology 14:04 - Key principles of AI: human agency and respect 17:16 - Stanford Institute for Human-Centered AI 19:13 - What this moment in AI means for humanity 21:06 - Cross-sector collaboration 25:10 - AI4ALL program and the importance of diversity in AI development 27:00 - Midroll ad break 27:09 - Using AI to improve healthcare delivery and treatment 30:20 - Founding history of AI and the meaning of the term “AGI” 33:00 - Future of agentic AI and voice 34:42 - Fei-Fei's mentor and his advice 37:18 - Rapid-fire questions Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.
W pierwszym odcinku 2025 r. i zarazem pierwszej w tym roku "Bibliotece" omawiamy książki o sztucznej inteligencji, które ukazały się w Polsce jeszcze w 2024 roku i które są niezłym podsumowaniem ostatnich 12 miesięcy i zarazem punktem wyjścia do tego, jak AI będzie się dalej rozwijać, zmieniać świat i człowieka. Dziś wybrałyśmy trzy książki od niezwykle ciekawych postaci świata nauki: - "Moje światy sztuczne i realne. Jak narodziła się AI najnowszej generacji" Fei-Fei Li, przekład Wojciech Pędzich, konsultacja merytoryczna dr Łukasz Chomątek, Wydawnictwo Prześwity - "Osobliwość coraz bliżej. Kiedy połączymy się z AI" Ray Kurzwei, tłumaczenie Tomasz Lanczewski, wyd. Grupa Wydawnicza Relacja - "Przenikanie umysłów", Aleksandra Przegalińska, Tamilla Triantoro, Tłumaczenie: model GPT "Tłumacz angielsko-polski. AI english->polish->en" (GPT-4), model Claude (3.5 Sonnet), Wydawnictwo AI Books by Campus AI Na skróty: 02:45 Książka Fei Fei Li, naukowczyni znanej z nacisku na rolę człowieka w tworzeniu AI i ze skandalu z jej udziałem, gdy pracowała w Google. 26:30 Książka Raymonda Kurzweila, który jest najbardziej znanym propagatorem idei transhumanizmu i twórcą terminu "osobliwości technologicznej". 41:51 Książka duetu Aleksandra Przegalińskiej - czyli najbardziej rozpoznawalnej polskiej naukowczyni specjalizującej się w AI - i Tamilli Triantoro, badaczki specjalizującej się w analizach współpracy człowieka z AI. Odcinki "Techstorii", o których wspominamy: Odc. 39 o transhumanizmie https://open.spotify.com/episode/40FqO5C7Q960mTLn7pzume Odc. 42 o tym, kto jest kim w świecie AI https://open.spotify.com/episode/1m8g2iHtME0PbI7l7puN3s Odc. 71 o tym, jak drony i AI są stosowane na wojnie https://open.spotify.com/episode/0lcvOja7KXVDXSl2t7rw5B
As we wind down 2024, the This is Working team is starting to dream big for 2025. Of course that means we have AI on our minds. And we're not alone. AI has more than one spot on LinkedIn's recent Big Ideas list. Who better to learn from than Fei-Fei Li, AI pioneer? Dr. Li is an AI researcher and professor at Stanford University and serves as Co-Director of Stanford's Human-Centered AI Institute. In this conversation with LinkedIn Editor in Chief Daniel Roth, Dr. Li shares her vision for a collaborative future with our advancing artificial intelligence. To meet 2025 head on, subscribe to Dan's This is Working newsletter. You'll get top takeaways from today's leaders, direct to your inbox.
Fei Fei Li (The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI) is a computer scientist, co-director of the Stanford Institute for Human-Centered Artificial Intelligence, and is considered by many to be the godmother of AI. Fei Fei joins the Armchair Expert to discuss her initial reluctance to tell her personal story as a part of her book on AI, starting a laundromat with her parents to support themselves, and the high school teacher that changed the course of her life. Fei Fei and Dax talk about how math is the closest thing there is to magic, why being fearlessly stupid is sometimes the best asset you can have, and the reason her north star is asking the audacious question. Fei Fei explains her perspective on the tech-lash, why there is so much humanness in everything we do in technology, and how essential it is to put dignity into how we both create and govern AI.Follow Armchair Expert on the Wondery App or wherever you get your podcasts. Watch new content on YouTube or listen to Armchair Expert early and ad-free by joining Wondery+ in the Wondery App, Apple Podcasts, or Spotify. Start your free trial by visiting wondery.com/links/armchair-expert-with-dax-shepard/ now.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
El primer episodio se titula Lo que la IA puede hacer por nosotros/a nosotros, y la dualidad del título es indicativa de dónde nos encontramos con la inteligencia artificial en 2024. Gates, así como los productores del programa Morgan Neville y Caitrin Rogers son los productores ejecutivos principales del programa hablan con varias personas involucradas en el desarrollo de software de IA, como el fundador de OpenAI, Greg Brockman. También hablan con expertos que estudian la tecnología, como el Dr. Fei-Fei Li de la Universidad de Stanford. Kevin Roose, un reportero de tecnología de The New York Times, es entrevistado sobre la historia que escribió cuando el chatbot de IA de Bing le dijo que quería estar vivo y que debía dejar a su esposa.
As they continue to investigate and resolve a growing caseload of hundreds of reports from current and former government officials about encounters with unidentified anomalous phenomena (UAP), personnel in the Pentagon's All-Domain Anomaly Resolution Office (AARO) are also launching new projects and resources to declassify materials, promote transparency and enhance collection capabilities. The office's new director Jon Kosloski detailed those and other updates during an off-camera press briefing at the Pentagon on Thursday, marking his first open engagement with reporters in this capacity since he assumed the role in August. Kosloski told reporters the office has has taken meaningful steps to improve data collection and retention, bolster sensor development, effectively triage UAP reports and reduce the stigma of reporting a UAP event. Homeland Security Secretary Alejandro Mayorkas said Thursday that he hopes the Trump administration would maintain the agency's AI Safety and Security Board, which was formed in April and includes corporate and civil society leaders focused on artificial intelligence. The board's roster currently includes OpenAI CEO Sam Altman, Anthropic CEO Dario , leading AI researcher Fei-Fei Li, and Office of Science and Technology Policy Director Arati Prabhakar, among many others. DHS and the board on Thursday released what the department is calling a groundbreaking new framework focused on technology and critical infrastructure. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast on Apple Podcasts, Soundcloud, Spotify and YouTube.
Artificial Intelligence (AI) has changed dramatically in recent years. Today, AI is improving many industries and changing how we live. AI is now a key part of our future, making our lives easier and more efficient. But what is it that we need to look out for? What are some necessary measures to be taken to ensure a smooth and safe adoption of this technology? Watch this episode to learn about the past, present and future of AI. Your host, Mukesh Bansal, not only takes us through the journey of AI but also advices on how to navigate through this technological era. Resource List - More about Physics Nobel Prize - https://www.nobelprize.org/prizes/physics/2024/press-release/ More about Chemistry Nobel Prize - https://www.nobelprize.org/prizes/chemistry/2024/press-release/ More on Research behind Chemistry Nobel Prize Winners - https://youtu.be/KMfgV2QSlns?feature=shared Video by Deepmind on AlphaFold Server Demo - https://youtu.be/9ufplEgtq8w?feature=shared More on the first AI conference - https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouth Watch the Chess Match between IBM Deep Blue v/s Garry Kasparov - https://youtu.be/KF6sLCeBj0s?feature=shared Watch IBM Watson on Jeopardy! - https://youtu.be/lI-M7O_bRNg?feature=shared 3Blue1Brown YouTube Channel - https://www.youtube.com/@3blue1brown Books from the episode: Perceptrons by Minsky - https://amzn.in/d/c8xn3Fh Genius Makers by Cade Metz - https://amzn.in/d/3pbTV1R The Master Algorithm by Pedro Domingos - https://amzn.in/d/14AiL3F Super Intelligence by Nick Bostrom - https://amzn.in/d/9hhq4td The Worlds I See by Dr. Fei-Fei Li - https://amzn.in/d/0iaga3Y Why Machines Learn by Anil Ananthaswamy - https://amzn.in/d/iiYC45X
LLega a RCN Radio Ochentera, la primera emisora de América Latina que se realiza 100% con inteligencia artifical.La emisora es creada y operada por Inteligencia Artificial, trayendo de vuelta la cultura pop de los años 80. Esta innovadora estación estará dirigida por Valeria Moon (@valeriamonndj), una DJ e influenciadora creada también con IA, experta en la música anglo de la época y amante de losinolvidables hits que definieron esta década dorada.Hablamos de los nuevo de Apple y la madrina de la IA Fei-fei-Li
Episode 27: How is AI revolutionizing productivity for marketers? Matt Wolfe (https://x.com/mreflow) and Nathan Lands (https://x.com/NathanLands) are joined by Zeynep Ozdemir (https://www.linkedin.com/in/zeynep-inanoglu-ozdemir-phd-962a5035/), the Chief Marketing Officer of Atlassian, who brings a unique blend of AI expertise and marketing experience. In this episode, we explore Zeynep's fascinating journey from engineering and speech synthesis to her pivotal role in marketing. The discussion delves into how AI is transforming marketing strategies, creating a partnership between human creativity and AI capabilities, and making marketers significantly more productive. With insights from Atlassian's cutting-edge AI applications and detailed survey data on AI usage in marketing, this conversation is packed with actionable takeaways for embracing AI in your workflow. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Machine learning training is now much faster than before. (05:30) AI as creative partner enhances content creation. (10:17) Exploring AI's impact on productivity, creativity, research. (13:33) AI boosts creativity and efficiency in marketing. (16:28) Seamless AI integration in content creation workflow. (18:40) Expert on dynamic customer data and interactions. (21:37) Personalized AI marketing and visual content generation. (25:35) Thanks, Zeynep, for the fascinating conversation. — Mentions: Zeynep Ozdemir: https://events.atlassian.com/unleash/speaker/993189/zeynep-inanoglu-ozdemir Atlassian: https://www.atlassian.com/ Fei Fei Li: https://profiles.stanford.edu/fei-fei-li — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Darren Clarke // Editing by Ezra Bakker Trupiano
Fei-Fei Li and Justin Johnson are pioneers in AI. While the world has only recently witnessed a surge in consumer AI, our guests have long been laying the groundwork for innovations that are transforming industries today.In this episode, a16z General Partner Martin Casado joins Fei-Fei and Justin to explore the journey from early AI winters to the rise of deep learning and the rapid expansion of multimodal AI. From foundational advancements like ImageNet to the cutting-edge realm of spatial intelligence, Fei-Fei and Justin share the breakthroughs that have shaped the AI landscape and reveal what's next for innovation at World Labs.If you're curious about how AI is evolving beyond language models and into a new realm of 3D, generative worlds, this episode is a must-listen.Resources: Learn more about World Labs: https://www.worldlabs.aiFind Fei-Fei on Twitter: https://x.com/drfeifeiFind Justin on Twitter: https://x.com/jcjohnss Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://twitter.com/stephsmithioPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
AI researcher Jim Fan has had a charmed career. He was OpenAI's first intern before he did his PhD at Stanford with “godmother of AI,” Fei-Fei Li. He graduated into a research scientist position at Nvidia and now leads its Embodied AI “GEAR” group. The lab's current work spans foundation models for humanoid robots to agents for virtual worlds. Jim describes a three-pronged data strategy for robotics, combining internet-scale data, simulation data and real world robot data. He believes that in the next few years it will be possible to create a “foundation agent” that can generalize across skills, embodiments and realities—both physical and virtual. He also supports Jensen Huang's idea that “Everything that moves will eventually be autonomous.” Hosted by: Stephanie Zhan and Sonya Huang, Sequoia Capital Mentioned in this episode: World of Bits: Early OpenAI project Jim worked on as an intern with Andrej Karpathy. Part of a bigger initiative called Universe Fei-Fei Li: Jim's PhD advisor at Stanford who founded the ImageNet project in 2010 that revolutionized the field of visual recognition, led the Stanford Vision Lab and just launched her own AI startup, World Labs Project GR00T: Nvidia's “moonshot effort” at a robotic foundation model, premiered at this year's GTC Thinking Fast and Slow: Influential book by Daniel Kahneman that popularized some of his teaching from behavioral economics Jetson Orin chip: The dedicated series of edge computing chips Nvidia is developing to power Project GR00T Eureka: Project by Jim's team that trained a five finger robot hand to do pen spinning MineDojo: A project Jim did when he first got to Nvidia that developed a platform for general purpose agents in the game of Minecraft. Won NeurIPS 2022 Outstanding Paper Award ADI: artificial dog intelligence Mamba: Selective State Space Models, an alternative architecture to Transformers that Jim is interested in (original paper here) 00:00 Introduction 01:35 Jim's journey to embodied intelligence 04:53 The GEAR Group 07:32 Three kinds of data for robotics 10:32 A GPT-3 moment for robotics 16:05 Choosing the humanoid robot form factor 19:37 Specialized generalists 21:59 GR00T gets its own chip 23:35 Eureka and Issac Sim 25:23 Why now for robotics? 28:53 Exploring virtual worlds 36:28 Implications for games 39:13 Is the virtual world in service of the physical world? 42:10 Alternative architectures to Transformers 44:15 Lightning round
Reid reflects on his early exposure to AI as an undergraduate at Stanford and on navigating the space between academia and industry. Plus, he and Aria discuss human outcomes of technology—and how human-centered technologists such as Fei-Fei Li, Mustafa Suleyman, and Kevin Scott have helped him keep those outcomes top of mind. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/
Fareed examines two emerging technologies that are already changing life as we know it—CRISPR gene editing and artificial intelligence—in interviews with two women who pioneered them: UC Berkeley's Jennifer Doudna and Stanford's Fei-Fei Li. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Dr. Fei-Fei Li is one of the most important scientists of our time. Her book, The Worlds I See, chronicles her pioneering efforts in Artificial Intelligence. Does AI scare you? Us too. But read this book and listen to this episode. The book is not just the compelling story of Dr. Li herself, who immigrated as a girl speaking no English but who understands physics like Michael Jordan plays basketball. She is now a worldwide authority on AI and its development. Second, if you are scared of AI, this book explains it and the issues surrounding it both with beauty and with hope. She believes AI is the next step in our evolution, but that it MUST be rooted in humanity. What does that mean? Tune in and find out. Books mentioned in this week's episode: The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI by Dr. Fei-Fei Li Harry Potter and the Philosopher's Stone by J.K. Rowling Learn more about your ad choices. Visit megaphone.fm/adchoices
We meet Dr. Fei-Fei Li In the latest installment of our oral history project. She's a Chinese-American computer scientist and the creator of ImageNet - the dataset that made rapid advances possible in this field of AI that helps computers take meaningful information from things like photos and videos.We Meet: Stanford University's Fei-Fei Li, author of "The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI"Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Anthony Green.
In the beginning of the universe, all was darkness — until the first organisms developed sight, which ushered in an explosion of life, learning and progress. AI pioneer Fei-Fei Li says a similar moment is about to happen for computers and robots. She shows how machines are gaining "spatial intelligence" — the ability to process visual data, make predictions and act upon those predictions — and shares how this could enable AI to interact with humans in the real world.
In the beginning of the universe, all was darkness — until the first organisms developed sight, which ushered in an explosion of life, learning and progress. AI pioneer Fei-Fei Li says a similar moment is about to happen for computers and robots. She shows how machines are gaining "spatial intelligence" — the ability to process visual data, make predictions and act upon those predictions — and shares how this could enable AI to interact with humans in the real world.
In the beginning of the universe, all was darkness — until the first organisms developed sight, which ushered in an explosion of life, learning and progress. AI pioneer Fei-Fei Li says a similar moment is about to happen for computers and robots. She shows how machines are gaining "spatial intelligence" — the ability to process visual data, make predictions and act upon those predictions — and shares how this could enable AI to interact with humans in the real world.
Fei-Fei Li is widely known as the godmother of AI, thanks to her groundbreaking research in the field. You can draw a straight line from her early work to the generative AI of today. Now, she's at the forefront of what comes next, which includes bringing together generative AI and robotics for use across industries. Niala visited Dr. Li's lab at Stanford last week and spoke with her about the very latest applications of AI, and what's at stake in their development. Guests: Dr. Fei-Fei Li, professor in the Computer Science Department at Stanford University and co-director of Stanford's Human-Centered AI Institute; Ryan Heath, Axios global tech correspondent and co-author of Axios AI+ Credits: 1 big thing is produced by Niala Boodhoo, Alexandra Botti, and Jay Cowit. Music is composed by Alex Sugiura and Jay Cowit. You can reach us at podcasts@axios.com. You can send questions, comments and story ideas as a text or voice memo to Niala at 202-918-4893. Learn more about your ad choices. Visit megaphone.fm/adchoices
At 15, Fei-Fei Li transitioned from a middle-class life in China to poverty in America. Despite the pressures of her family's financial situation and her mother's ailing health, her knack for physics never wavered. She went from learning English as a second language to attending and working at prestigious institutions like Princeton and Stanford. Today, she is among a handful of scientists behind the impressive advances of artificial intelligence in recent times. In this episode, she breaks down her human-centered approach to AI and explores the future of the technology. Dr. Fei-Fei Li is a professor of Computer Science at Stanford University and the co-director of the Stanford Institute for Human-Centered AI. She is the creator of ImageNet, a key driver of modern artificial intelligence. With over 20 years at the forefront of the field, Dr. Li is focused on AI research, education, and policy to improve the human condition. In this episode, Hala and Fei-Fei will discuss: - The current capabilities of AI - The difference between machine learning and AI - The training process for AI models - The gaps in our knowledge about how AI learns - Why ChatGPT fails at higher-level reasoning like math - The biological inspiration for vision in computers - Fears and hopes associated with AI - The human element of jobs AI can't replace - Augmentation of human capabilities through AI - The three pillars of her human-centered AI framework - Responsible development and use of AI - The roadblocks to be aware of when using AI - Her advice to young entrepreneurs navigating the AI world - And other topics… Dr. Fei-Fei Li is a professor of Computer Science at Stanford University and the co-director of the Stanford Institute for Human-Centered AI. She is also the creator of ImageNet and the ImageNet Challenge, a key catalyst to the latest developments in deep learning and AI. Sometimes called the ‘Godmother of AI,' she is a pioneer in early computer vision research. Dr. Li is the author of The Worlds I See, one of Barack Obama's recommended books on AI. Her work has been featured in various publications, including the New York Times, Wall Street Journal, Fortune Magazine, Science, and Wired Magazine. Connect with Fei-Fei: Fei-Fei's Bio: https://profiles.stanford.edu/fei-fei-li Fei-Fei's LinkedIn: https://www.linkedin.com/in/fei-fei-li-4541247/ Fei-Fei's Twitter: https://twitter.com/drfeifei Resources Mentioned: Fei-Fei's Book, The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI: https://www.amazon.com/Worlds-See-Curiosity-Exploration-Discovery-ebook/dp/B0BPQSLVL6 Stanford Human Center AI Institute Website: https://hai.stanford.edu/ LinkedIn Secrets Masterclass, Have Job Security For Life: Use code ‘podcast' for 30% off at yapmedia.io/course. Sponsored By: Shopify - Sign up for a one-dollar-per-month trial period at youngandprofiting.co/shopify Indeed - Get a $75 job credit at indeed.com/profiting Yahoo Finance - For comprehensive financial news and analysis, visit YahooFinance.com More About Young and Profiting Download Transcripts - youngandprofiting.com Get Sponsorship Deals - youngandprofiting.com/sponsorships Leave a Review - ratethispodcast.com/yap Watch Videos - youtube.com/c/YoungandProfiting Follow Hala Taha LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ TikTok - tiktok.com/@yapwithhala Twitter - twitter.com/yapwithhala Learn more about YAP Media's Services - yapmedia.io/
John Etchemendy and Fei-Fei Li are the codirectors of Stanford's Institute for Human-Centered Artificial Intelligence (HAI), founded in 2019 to “advance AI research, education, policy and practice to improve the human condition.” In this interview, they delve into the origins of the technology, its promise, and its potential threats. They also discuss what AI should be used for, where it should not be deployed, and why we as a society should—cautiously—embrace it.
OpenAI and Microsoft are leaders in generative artificial intelligence (AI). OpenAI has built GPT-4, one of the world's most sophisticated large language models (LLMs) and Microsoft is injecting those algorithms into its products, from Word to Windows. At the World Economic Forum in Davos last week, Zanny Minton Beddoes, The Economist's editor-in-chief, interviewed Sam Altman and Satya Nadella, who run OpenAI and Microsoft respectively. They explained their vision for humanity's future with AI and addressed some thorny questions looming over the field, such as how AI that is better than humans at doing tasks might affect productivity and how to ensure that the technology doesn't pose existential risks to society.Host: Alok Jha, The Economist's science and technology editor. Contributors: Zanny Minton Beddoes, editor-in-chief of The Economist; Ludwig Siegele, The Economist's senior editor, AI initiatives; Sam Altman, chief executive of OpenAI; Satya Nadella, chief executive of Microsoft. If you subscribe to The Economist, you can watch the full interview on our website or app. Essential listening, from our archive:“Daniel Dennett on intelligence, both human and artificial”, December 27th 2023“Fei-Fei Li on how to really think about the future of AI”, November 22nd 2023“Mustafa Suleyman on how to prepare for the age of AI”, September 13th 2023“Vint Cerf on how to wisely regulate AI”, July 5th 2023“Is GPT-4 the dawn of true artificial intelligence?”, with Gary Marcus, March 22nd 2023Sign up for a free trial of Economist Podcasts+. If you're already a subscriber to The Economist, you'll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account. Hosted on Acast. See acast.com/privacy for more information.
She earned that unofficial title from her peers through her pioneering work harvesting big data to power AI, leading to the recent breakthroughs such as ChatGPT and its many successors. Her personal story is inspiring, from her childhood in China to risking her scientific career on a research gamble that might well have failed. And like a real godmother she now feels responsible for the revolution she helped launch.
Alan and Executive Producer Graham Chedd chat about and play excerpts from Alan's conversations with some of the guests in the new season, beginning next week. Guests include computer scientist Fei-Fei Li; former CEO of Google Eric Schmidt; and actor Tom Hanks.
It's time for our annual predictions episode! Kara and Scott share their 2024 predictions on politics, stocks, China, Google and more. Plus, some Friend of Pivot predictions from Jen Psaki, Mike Birbiglia, Fei-Fei Li, Bill Cohan, Dr. Joy Buolamwini, and Matt Belloni. Follow us on Instagram and Threads at @pivotpodcastofficial. Follow us on TikTok at @pivotpodcast. Send us your questions by calling us at 855-51-PIVOT, or at nymag.com/pivot. Learn more about your ad choices. Visit podcastchoices.com/adchoices
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