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  • #489 – Paul Rosolie: Uncontacted Tribes in the Amazon Jungle

    13 JAN

    1

    #489 – Paul Rosolie: Uncontacted Tribes in the Amazon Jungle

    Paul Rosolie is a naturalist, explorer, author of a new book titled Junglekeeper, and is someone who has dedicated his life to protecting the Amazon rainforest. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep489-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/paul-rosolie-3-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Junglekeeper (new book): https://amzn.to/4q7vpAp Paul’s Instagram: https://instagram.com/paulrosolie Junglekeepers Website: https://junglekeepers.org Paul’s Website: https://paulrosolie.com Mother of God (book): https://amzn.to/3ww2ob1 SPONSORS: To support this podcast, check out our sponsors & get discounts: Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Miro: Online collaborative whiteboard platform. Go to https://miro.com/ MasterClass: Online classes from world-class experts. Go to https://masterclass.com/lexpod OUTLINE: (00:00) – Introduction (02:34) – Sponsors, Comments, and Reflections (12:00) – Uncontacted tribes in the Amazon Jungle (19:46) – Intense new encounter (42:52) – Never-before-seen footage of tribe warriors (56:08) – The mysteries of the jungle (1:10:43) – Tribe’s diet: Monkeys, turtles, and turtle eggs (1:20:19) – Jane Goodall (1:26:31) – Advice for young people (1:35:45) – Cartel, Narco-traffickers & assassination attempts (1:57:45) – Climbing the giant tree (2:08:43) – Giant anaconda (2:26:01) – Rescuing a spider monkey (2:32:05) – Dangerous animal encounters (2:42:13) – Writing, journaling, and great writer inspirations PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips

    13 Jan

    •
    3h 14m
  • What can you control in this chaotic world?

    1 DAY AGO

    2

    What can you control in this chaotic world?

    When it feels like the world is on fire, it's hard to know what's in your control and what's out of your hands. This hour, TED speakers explain ways you can reclaim your agency. Guests include financial advisor Matt Pitcher, sociologist Anindya Kundu, journalist Jennifer Wallace and design thinking professor Bill Burnett. TED Radio Hour+ subscribers now get access to bonus episodes, with more ideas from TED speakers and a behind the scenes look with our producers. A Plus subscription also lets you listen to regular episodes (like this one!) without sponsors. Sign-up at: plus.npr.org/ted Learn more about sponsor message choices: podcastchoices.com/adchoices NPR Privacy Policy

    1 day ago

    •
    50 min
  • The AI Productivity Paradox: Why Doing More Feels Like Burnout: EP99.31

    1 DAY AGO

    3

    The AI Productivity Paradox: Why Doing More Feels Like Burnout: EP99.31

    Join Simtheory: https://simtheory.ai Reserve your seat on the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80----Two episodes in one week? We're either above average or completely unhinged. In this one, we dive deep into the new phenomenon of "AI exhaustion" – that fried feeling you get after multitasking across six agent tabs all day. We share our breakthroughs with AI-assisted presentations (20 minutes vs several hours), why browser-use on your local machine bypasses every anti-scraping technique known to man, and how enterprise context sharing could be the real unlock for organizations. Plus: OpenAI announces ads for ChatGPT (even on paid tiers), their CFO floats taking cuts from drug discoveries (seriously), and Google publicly dunks on them for it. Also – the Still Relevant Australia Tour is coming, and our LinkedIn group hit 200 members (we're basically LinkedIn influencers now too). CHAPTERS: 0:00 Intro - Still Relevant Tour Announcement + LinkedIn Milestone2:08 AI Exhaustion: The Cognitive Overload of Multitasking with Agents4:14 Why Single-Tasking with AI Beats Parallel Agent Chaos7:02 The Problem with "I Spun Up 70,000 Sub-Agents" Twitter Posts10:03 Mike's Presentation Workflow: From Hours to 20 Minutes14:06 Why Isn't Copilot Doing This Already?16:54 Old Models + Great Context = Still Amazing Results21:14 What's Actually Changed? It's the Software Layer25:22 Enterprise Context Sharing & Organizational IP31:22 Skills, Sub-Agents, and Role-Based Knowledge35:22 Security Concerns: Can You Hack an Agent with Malicious MD Files?38:23 Cloud Providers Have a Bigger Moat Than the Labs43:16 Browser Use: The Ultimate Context Gathering Weapon48:25 Rethinking SaaS: Software That Actually Thinks53:08 Smart Paste, Smart CC – Why Isn't All Software Like This?56:32 OpenAI's Desperate Moves: Ads, Age Verification & Drug Royalties1:03:03 Google Says "No Plans for Gemini Ads" (Shots Fired)1:07:24 Is OpenAI Okay? The Vibes Are Definitely Off1:10:35 Capitalism Won't Give You Free Time, Just More Demands1:11:20 Outro + Still Relevant Tour Details Thanks for listening. Like & Sub. Links below for the Still Relevant Tour signup and Simtheory. xoxo

    1 day ago

    •
    1h 13m
  • What a $42B Software Co. Really Spends on AI Tools

    4 DAYS AGO

    4

    What a $42B Software Co. Really Spends on AI Tools

    “I don't worry about being replaced by AI. I worry about being replaced by someone who's really good at using AI.” Atlassian has 10,000+ engineers currently split-testing the world’s top AI coding tools, from GitHub Copilot and Cursor to Claude Code. In this episode, Co-Founder & CEO Mike Cannon-Brookes joins Lukas Biewald to share what their data reveals about the world's best AI tools today. Hear how 24 years of building a tech giant and a massive internal study on AI productivity have shaped Mike's vision for the future of dev jobs. Connect with us here: Mike Cannon-Brookes: https://www.linkedin.com/in/mcannonbrookes/?originalSubdomain=au Atlassian: https://www.linkedin.com/company/atlassian/?viewAsMember=true Lukas Biewald: https://www.linkedin.com/in/lbiewald/ Weights & Biases: https://www.linkedin.com/company/wandb/ 00:00 Trailer 01:08 Introduction 03:11 Connecting Technology and Business Teams 07:22 The Impact of AI on Business Workflows 13:26 Developer Productivity and AI 21:03 Measuring Developer Efficiency 25:41 Future of AI in Development 34:59 Legacy Technology and Code Changes 39:29 AI's Role in Developer Productivity 47:40 AI and Junior Developers 52:30 Product-Led Growth and Business Strategy 01:00:29 Core Metrics for Sustainable Growth 01:06:56 Staying Creative in the Tech Industry

    4 days ago

    •
    1h 8m
  • 959: Building Agents 101: Design Patterns, Evals and Optimization (with Sinan Ozdemir)

    4 DAYS AGO

    5

    959: Building Agents 101: Design Patterns, Evals and Optimization (with Sinan Ozdemir)

    AI entrepreneur and bestselling author Sinan Ozdemir speaks to Jon Krohn about the practical differences between agentic AI and AI workflows, why evaluating accuracy on its own won’t tell you enough about AI models, and more about his latest book Building Agentic AI.  This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/959⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (04:57) Exploring the differences between workflows and agents (17:03) How to work out parameter count for a given task (25:26) The best way to evaluate LLMs (33:12) How to run hybrid workflow + agentic projects effectively

    4 days ago

    •
    1h 5m
  • TikTok

    08/04/2021

    6

    TikTok

    Tiktok: qué es y nuestra opinión

    08/04/2021

    •
    9 min
  • Apple Event — September 9

    09/09/2025 · VIDEO

    7

    Apple Event — September 9

    Watch to learn about iPhone 17, iPhone Air, and iPhone 17 Pro. And, you’ll get a look at an all-new Apple Watch lineup, AirPods, and more.

    09/09/2025 · Video

    •
    1h 12m
  • Will ChatGPT Ads Change OpenAI? + Amanda Askell Explains Claude's New Constitution

    1 DAY AGO

    8

    Will ChatGPT Ads Change OpenAI? + Amanda Askell Explains Claude's New Constitution

    Ads are coming to ChatGPT’s free and low-cost subscription tiers. We explain what they’ll look like, why OpenAI is taking this approach and whether the company can court advertising dollars without compromising quality and user trust. Then, Amanda Askell, Anthropic’s in-house philosopher in charge of shaping Claude’s personality, joins us to discuss the company’s newly released “Claude Constitution” and what it takes to teach a chatbot to be good. As a bonus, if you’re interested in learning how to get started with Claude Code, you can check out our tutorial on YouTube. Guest: Amanda Askell, a member of Anthropic’s technical staff Additional Reading:  OpenAI Starts Testing Ads in ChatGPTClaude’s Constitution Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app.

    1 day ago

    •
    1h 14m
  • Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of Life

    02/12/2019

    9

    Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of Life

    Ray Dalio is the founder, Co-Chairman and Co-Chief Investment Officer of Bridgewater Associates, one of the world’s largest and most successful investment firms that is famous for the principles of radical truth and transparency that underlie its culture. Ray is one of the wealthiest people in the world, with ideas that extend far beyond the specifics of how he made that wealth. His ideas, applicable to everyone, are brilliantly summarized in his book Principles. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts or support it on Patreon. This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”.  Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. 00:00 – Introduction 02:56 – Doing something that’s never been done before 08:39 – Shapers 13:28 – A Players 15:09 – Confidence and disagreement 17:10 – Don’t confuse dilusion with not knowing 24:38 – Idea meritocracy 27:39 – Is credit good for society? 32:59 – What is money? 37:13 – Bitcoin and digital currency 41:01 – The economic machine is amazing 46:24 – Principle for using AI 58:55 – Human irrationality 1:01:31 – Call for adventure at the edge of principles 1:03:26 – The line between madness and genius 1:04:30 – Automation 1:07:28 – American dream 1:14:02 – Can money buy happiness? 1:19:48 – Work-life balance and the arc of life 1:28:01 – Meaning of life

    02/12/2019

    •
    1h 31m
  • Adam Marblestone – AI is missing something fundamental about the brain

    30/12/2025

    10

    Adam Marblestone – AI is missing something fundamental about the brain

    Adam Marblestone is CEO of Convergent Research. He’s had a very interesting past life: he was a research scientist at Google Deepmind on their neuroscience team and has worked on everything from brain-computer interfaces to quantum computing to nanotech and even formal mathematics. In this episode, we discuss how the brain learns so much from so little, what the AI field can learn from neuroscience, and the answer to Ilya’s question: how does the genome encode abstract reward functions? Turns out, they’re all the same question. Watch on YouTube; read the transcript. Sponsors * Gemini 3 Pro recently helped me run an experiment to test multi-agent scaling: basically, if you have a fixed budget of compute, what is the optimal way to split it up across agents? Gemini was my colleague throughout the process — honestly, I couldn’t have investigated this question without it. Try Gemini 3 Pro today gemini.google.com * Labelbox helps you train agents to do economically-valuable, real-world tasks. Labelbox’s network of subject-matter experts ensures you get hyper-realistic RL environments, and their custom tooling lets you generate the highest-quality training data possible from those environments. Learn more at labelbox.com/dwarkesh To sponsor a future episode, visit dwarkesh.com/advertise. Timestamps (00:00:00) – The brain’s secret sauce is the reward functions, not the architecture (00:22:20) – Amortized inference and what the genome actually stores (00:42:42) – Model-based vs model-free RL in the brain (00:50:31) – Is biological hardware a limitation or an advantage? (01:03:59) – Why a map of the human brain is important (01:23:28) – What value will automating math have? (01:38:18) – Architecture of the brain Further reading Intro to Brain-Like-AGI Safety - Steven Byrnes’s theory of the learning vs steering subsystem; referenced throughout the episode. A Brief History of Intelligence - Great book by Max Bennett on connections between neuroscience and AI Adam’s blog, and Convergent Research’s blog on essential technologies. A Tutorial on Energy-Based Learning by Yann LeCun What Does It Mean to Understand a Neural Network? - Kording & Lillicrap E11 Bio and their brain connectomics approach Sam Gershman on what dopamine is doing in the brain Gwern’s proposal on training models on the brain’s hidden states Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    30/12/2025

    •
    1h 50m

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