🇺🇸 United States Episodes

Pundits are screaming about the so-called “AI bubble.” But historically slow-to-adopt industries like medicine and law are actually embracing AI at an unprecedented speed. Sarah Guo and Elad Gil look ahead to 2026, breaking down the major trends that will define the next era of AI technologies. They explore the future of AI foundational models, predicting breakthroughs in solving complex scientific problems. They share competing views on the timeline for robotics and self-driving cars, debating whether startups have a chance for survival or if incumbents will dominate. Elad and Sarah also discuss the return of tech IPOs and M&As, forecast a new wave of AI consumer agent software, and explore why consumer product innovation has been slower than expected. Finally, the two offer bold non-AI predictions for the new year, including the acceleration of defense tech startups and the second-order underrated impacts of GLP-1 drugs on biohacking. Plus, stick around to hear predictions on what’s next for AI in 2026 from some of tech’s biggest names and industry leaders. We hear from Jensen Huang (Founder/CEO NVIDIA), Arvind Jain (Founder/CEO, Glean), Winston Weinberg (Founder/CEO, Harvey), Scott Wu (Founder/CEO, Cognition), Raiza Martin (Founder/CEO Huxe), Zach Ziegler (Founder/CTO, Open Evidence), Aaron Levie (Founder/CEO, Box), Misha Laskin (Founder/CEO, ReflectionAI), Noam Brown (Research Scientist, OpenAI), Joshua Meier (Founder/CEO Chai Discovery), Bryan Johnson (Living Man, Don't Die), Sholto Douglas (Member of the Technical Staff, Anthropic), Ben & Asher Spector (Stanford PhDs) and Dylan Patel (Founder/CEO SemiAnalysis). Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil  Chapters: 00:00 – Introduction 02:43 – AI Predictions for 2026 04:40 – Adoption of AI in Professional Fields 07:17 – Robotics and Self-Driving Cars 08:25 – Robotics: Incumbents vs. Startups 13:59 – Future of IPOs and M&A in AI 16:42 – Challenges in Consumer AI Innovation 21:08 – Funding of Neo Labs, RL Research 26:28 – Predictions for 2026 Beyond AI 26:44 – The Future of Defense and Technology 28:23 – Biohacking and Peptide Therapies 30:37 – 2026 Prediction from AI Industry Leaders 40:46 – Conclusion

Identity politics, deplatforming and ritual denunciation? No thanks. That’s what we voted against. Paid partnerships with: Eight Sleep: Sale extended! Get up to $400 off the new Pod 5 Ultra at https://EightSleep.com/Tucker Black Rifle Coffee: Promo code "Tucker" for 30% off at https://www.blackriflecoffee.com Learn more about your ad choices. Visit megaphone.fm/adchoices

In a now-famous Go match against a human in 2016, AI made Move 37 — a seemingly nonsensical play that baffled every expert but ultimately won it the match. Amen Ra Mashariki, director of AI at the Bezos Earth Fund, thinks we need AI to make that same kind of creative leap for climate solutions. In conversation with TED Radio Hour host Manoush Zomorodi, he shares a vision for new AI solutions to environmental problems that human experts haven't yet dreamed up. Hosted on Acast. See acast.com/privacy for more information.

Fintech went from a full-blown surge to a near standstill in just two years. At its peak, about 25 percent of all venture dollars were pouring into the category. By late 2022, that number had collapsed to almost zero. In this conversation, a16z General Partner David Haber and Plaid cofounder and CEO Zach Perret unpack what actually happened during that cycle and why the market is heating up again. We explore how the industry moved from the explosive growth of 2020 and 2021 into a deep freeze, and why we are now seeing real momentum return. We also dig into the forces reshaping fintech today: AI’s outsized impact on fraud and underwriting, incumbents finally embracing external software, the renewed importance of deposits, and the rise of embedded finance across entirely new categories. Zach shares how Plaid has navigated these shifts, what the company is building now, and how he sees the next phase of fintech taking shape.

“We were roadkill,” says Colin Angle, former chief executive of iRobot, maker of the robot vacuum.

Get Steph's free Digits Database with 100+ generation-defining stats: https://clickhubspot.com/stm Episode 776: Sam Parr ( ⁠https://x.com/theSamParr⁠ ) and Shaan Puri ( ⁠https://x.com/ShaanVP⁠ ) are joined by Steph Smith ( https://x.com/stephsmithio ) in this year’s LIVE Milly Awards.  — Show Notes: (0:00) Welcome to the 2025 Milly Awards (1:21) Best Investment of the Year (11:09) Worst Investment of the Year (20:30) Biggest Personal L (29:18) Billy of the Year (39:10) Coolest Moment of the Year (52:49) Frame-Breaking Person / Favorite Guest (1:25:38) Meme of the Year — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam’s List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano //

as with all demo-heavy and especially vision AI podcasts, we encourage watching along on our YouTube (and tossing us an upvote/subscribe if you like!) From SAM 1's 11-million-image data engine to SAM 2's memory-based video tracking, MSL’s Segment Anything project has redefined what's possible in computer vision. Now SAM 3 takes the next leap: concept segmentation—prompting with natural language like "yellow school bus" or "tablecloth" to detect, segment, and track every instance across images and video, in real time, with human-level exhaustivity. And with the latest SAM Audio (https://x.com/aiatmeta/status/2000980784425931067?s=46), SAM can now even segment audio output! We sat down with Nikhila Ravi (SAM lead at Meta) and Pengchuan Zhang (SAM 3 researcher) alongside Joseph Nelson (CEO, Roboflow) to unpack how SAM 3 unifies interactive segmentation, open-vocabulary detection, video tracking, and more into a single model that runs in 30ms on images and scales to real-time video on multi-GPU setups. We dig into the data engine that automated exhaustive annotation from two minutes per image down to 25 seconds using AI verifiers fine-tuned on Llama, the new SACO (Segment Anything with Concepts) benchmark with 200,000+ unique concepts vs. the previous 1.2k, how SAM 3 separates recognition from localization with a presence token, why decoupling the detector and tracker was critical to preserve object identity in video, how SAM 3 Agents unlock complex visual reasoning by pairing SAM 3 with multimodal LLMs like Gemini, and the real-world impact: 106 million smart polygons created on Roboflow saving humanity an estimated 130+ years of labeling time across fields from cancer research to underwater trash cleanup to autonomous vehicle perception. We discuss: What SAM 3 is: a unified model for concept-prompted segmentation, detection, and tracking in images and video using atomic visual concepts like "purple umbrella" or "watering can" How concept prompts work: short text phrases that find all instances of a category without manual clicks, plus visual exemplars (boxes, clicks) to refine and adapt on the fly Real-time performance: 30ms per image (100 detected objects on H200), 10 objects on 2×H200 video, 28 on 4×, 64 on 8×, with parallel inference and "fast mode" tracking The SACO benchmark: 200,000+ unique concepts vs. 1.2k in prior benchmarks, designed to capture the diversity of natural language and reach human-level exhaustivity The data engine: from 2 minutes per image (all-human) to 45 seconds (model-in-loop proposals) to 25 seconds (AI verifiers for mask quality and exhaustivity checks), fine-tuned on Llama 3.2 Why exhaustivity is central: every instance must be found, verified by AI annotators, and manually corrected only when the model misses—automating the hardest part of segmentation at scale Architecture innovations: presence token to separate recognition ("is it in the image?") from localization ("where is it?"), decoupled detector and tracker to preserve identity-agnostic detection vs. identity-preserving tracking Building on Meta's ecosystem: Perception Encoder, DINO v2 detector, Llama for data annotation, and SAM 2's memory-based tracking backbone SAM 3 Agents: using SAM 3 as a visual tool for multimodal LLMs (Gemini, Llama) to solve complex visual reasoning tasks like "find the bigger character" or "what distinguishes male from female in this image" Fine-tuning with as few as 10 examples: domain adaptation for specialized use cases (Waymo vehicles, medical imaging, OCR-heavy scenes) and the outsized impact of negative examples Real-world impact at Roboflow: 106M smart polygons created, saving 130+ years of labeling time across cancer research, underwater trash cleanup, autonomous drones, industrial automation, and more — MSL FAIR team Nikhila: https://www.linkedin.com/in/nikhilaravi/ Pengchuan: https://pzzhang.github.io/pzzhang/ Joseph Nelson X: https://x.com/josephofiowa LinkedIn: https://www.linkedin.com/in/josephofiowa/ [FLIGHTCAST_CHATPERS]

After a historic church in the heart of Nashville was taken over by a businessman, the family of the church’s original founder, including Christian pop star Amy Grant, says the building was “steeple-jacked.” The businessman leading the church denies the allegations. WSJ’s Cameron McWhirter explains to Ryan Knutson why many American churches are vulnerable to a hostile takeover. Further Listening: - ‘Exmo’ Influencers Are Taking On Mormonism - The Financial Mess Facing the Vatican - Why the New Pope Is Taking on AI Sign up for WSJ’s free What’s News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Michael P. Masters, PhD, is a professor of biological anthropology at Montana Technological University and the author of several books exploring the hypothesis that alien visitors may be human time travelers from the future. The most recent titles are "The Extratempestrial Model," a work of nonfiction, and the novel "Revelation: The Future Human Past." www.idflyobj.com/books-%26-merchwww.youtube.com/@MichaelPMasterswww.idflyobj.com Download the app or ask Perplexity anything at https://pplx.ai/rogan. This video is sponsored by BetterHelp. Visit https://BetterHelp.com/JRE This episode is brought to you by Monster Ultra. Zero Sugar, Flavor Unleashed. Visit https://monsterenergy.com to learn more. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Algorithms and AI don't just show us reality — they warp it in ways that benefit platforms built to exploit people for profit, says etymologist Adam Aleksic. From ChatGPT influencing our word choices to Spotify turning a data cluster into a new musical genre, he reveals how new technology subconsciously shapes our language, trends and sense of identity. "These aren't neutral tools," he says, encouraging us to constantly ask ourselves: How am I being influenced?(After the talk, Aleksic sits down with Elise Hu, host of TED Talks Daily podcast, to discuss how he became interested in language and its evolution — from writing on leaves, clay and stone to AI models like ChatGPT.) Hosted on Acast. See acast.com/privacy for more information.

In this episode, we’re sharing a conversation with David George, General Partner at a16z on the firm’s growth investing team. David has been involved in backing many of the defining companies of this era and is now investing behind a new wave of AI startups. This discussion goes deep into how the a16z growth practice operates: how the team hires and develops a “Yankees-level” culture, how investment decisions get made without traditional committees, and how they build long-term relationships with founders years before investing. A major focus is AI. David talks through how the team is investing across the stack and why he believes this period could create some of the largest companies ever built. He also walks through the models that guide his thinking: why markets often misprice consistent growth, what makes “pull” businesses so durable, why many important markets become winner-take-all, and what he’s learned from studying exceptional founders — especially the “technical terminators” he’s drawn to.

After serving as Chief Legal Officer and then CFO at Salesforce, Amy Weaver sought a new challenge. She is now CEO of Direct Relief, which she tells host Jeff Berman is "the largest, most efficient, most effective, and most impactful global humanitarian group that you may never have heard of.” Weaver reveals scale lessons from Salesforce and how she's now applying them to amplify Direct Relief's vital work.Learn more about Direct Relief: directrelief.orgSubscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/newsletter/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this Huberman Lab Essentials episode, I explain how to use science-based tools to better set and achieve goals. I discuss the neuroscience of goal pursuit and how dopamine and visual attention shape motivation and effort. I explain whether visualizing success or failure better supports goal pursuit, how to choose goals at the right level of difficulty and evaluate progress. I also share a short “space-time bridging” protocol that helps train long-range, goal-directed behavior. These tools will help you stay motivated and reach goals more effectively. Read the episode show notes at hubermanlab.com. Thank you to our sponsors AG1: https://drinkag1.com/huberman David: https://davidprotein.com/huberman LMNT: https://drinklmnt.com/huberman Timestamps (00:00:00) Goal Setting (00:00:23) Brain & Goal Pursuit (00:03:32) Goal Value, Action Steps (00:05:49) Sponsor: David (00:07:07) Peripersonal vs Extrapersonal Space (00:08:34) Tool: Visual Focus & Pursuing Goals (00:13:04) Visualization & Goal Pursuit, Tool: Visualize Failure (00:15:25) Sponsor: AG1 (00:16:48) Tool: Goal Setting & Difficulty Level (00:18:27) Dopamine & Goal Pursuit, Reward Prediction Error, Tool: Weekly Goal Assessment (00:23:39) Dopamine & Vision; Importance of Behavioral Tools (00:25:37) Recap of Tools for Goal Setting & Pursuit (00:26:49) Sponsor: LMNT (00:28:21) Goal Pursuit, Time; Tool: Space-Time Bridging (00:35:49) Recap, Key Takeaways Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices

Why would you decide to import primitive Somali tribes and encourage them not to assimilate? The only possible explanation is that you’re trying to destroy the country. @lizcollinLiz Collin Alpha News Journalist Paid partnerships with: GCU: Find your purpose at Grand Canyon University. Learn more at https://GCU.edu Pure Talk: Go to https://PureTalk.com/Tucker and save 50% off your first month.  Preborn: To donate please dial #250 and say keyword "BABY" or visit https://preborn.com/TUCKER Learn more about your ad choices. Visit megaphone.fm/adchoices

It’s the end of 2025 and to celebrate I thought I’d run through some of the best lessons I’ve picked up over the last 12 months. This year has had over 10,000 minutes of episodes produced so there was a lot to choose from but I ended up settling on 23 insights from some of my favourite conversations, both inside and outside of the podcast. Expect to learn why I try to stay out of internet drama, how not to care about what other people think of you, why you shouldn't have shame in small fears, how to use vulnerability to your advantage and show true strength, why procrastination is often about fear, what the Atlas Complex, Input-Output Delusion and The Anorexic Hermit Crab is, and much more... Sponsors: See discounts for all the products I use and recommend: https://chriswillx.com/deals Sign up for a one-dollar-per-month trial period from Shopify at https://shopify.com/modernwisdom Get up to $50 off the RP Hypertrophy App at https://rpstrength.com/modernwisdom Get the brand new Whoop 5.0 and your first month for free at https://join.whoop.com/modernwisdom Extra Stuff: Get my free reading list of 100 books to read before you die: https://chriswillx.com/books Try my productivity energy drink Neutonic: https://neutonic.com/modernwisdom Episodes You Might Enjoy: #577 - David Goggins - This Is How To Master Your Life: https://tinyurl.com/43hv6y59 #712 - Dr Jordan Peterson - How To Destroy Your Negative Beliefs: https://tinyurl.com/2rtz7avf #700 - Dr Andrew Huberman - The Secret Tools To Hack Your Brain: https://tinyurl.com/3ccn5vkp - Get In Touch: Instagram: https://www.instagram.com/chriswillx Twitter: https://www.twitter.com/chriswillx YouTube: https://www.youtube.com/modernwisdompodcast Email: https://chriswillx.com/contact - Learn more about your ad choices. Visit megaphone.fm/adchoices

Cloud seeding is a decades-old rain-making technology, and it’s making a comeback in drought-stricken western states. Utah is partnering with a startup called Rainmaker as they try to stabilize the Great Salt Lake, assisted by drones and AI. But those efforts are colliding with weather conspiracy theories that have only gotten more persistent after some blamed Rainmaker for deadly floods in Texas last year. Jessica Mendoza spoke to the company’s CEO Agustus Doricko about their projects, and WSJ’s Kris Maher explains the growing movement for states to ban weather modification despite scientific consensus. Further Listening: - Hot, Dry and Booming: A Texas Climate Case Study - Is Asheville No Longer a 'Climate Haven?' Sign up for WSJ’s free What’s News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Bret Weinstein, PhD, is an evolutionary biologist, author, and co-host of “The DarkHorse Podcast” with his wife, biologist Heather Heying. They are the co-authors of “A Hunter-Gatherer’s Guide to the 21st Century: Evolution and the Challenges of Modern Life.”www.bretweinstein.netwww.youtube.com/@DarkHorsePodwww.penguinrandomhouse.com/books/618153/a-hunter-gatherers-guide-to-the-21st-century-by-heather-heying-and-bret-weinstein/ Download the app or ask Perplexity anything at https://pplx.ai/rogan Get a free welcome kit with your first subscription of AG1 at https://drinkag1.com/joerogan Try ZipRecruiter FOR FREE at https://ziprecruiter.com/rogan Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome to the inaugural Planet Money Pop Culture Draft! In today's episode (a Planet Money+ episode we’re releasing into the main feed) we're gonna go back to the year 1999. Three hosts, Kenny Malone, Wailin Wong, and Jeff Guo, go head to head and each drafts a “team” of economic pop culture. So a movie, a song, and a wild card pick that best represents the Planet Money spirit!It could be a movie related to business or maybe a song about money … as long as it came out in 1999! Listen to hear each of them make the case for why their team should be crowned the winner!If you want more bonus episodes like this one and to support our work, sign up for Planet Money+.Listen free: Apple Podcasts, Spotify, the NPR app or anywhere you get podcasts.Facebook / Instagram / TikTok / Our weekly Newsletter.This episode was hosted by Kenny Malone, Wailin Wong, and Jeff Guo. It was produced by Viet Le and edited by Planet Money’s executive producer Alex Goldmark.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Film is generally a fixed medium: the scenes are shot, the edits are made, and the final version is the one and only movie you'll see. Filmmaker Gary Hustwit flips this convention on its head, introducing his project "Eno" — a documentary about the musician and composer Brian Eno that reinvents itself every time you watch it ... and never ends the same way twice. Hosted on Acast. See acast.com/privacy for more information.

What if America tried to eliminate crime instead of just reacting to it? Not with slogans, but with staffing, technology, and strategy scaled to the problem. In this episode, Erik Torenberg speaks with Garrett Langley, founder and CEO of Flock Safety, and Ben Horowitz, cofounder of a16z, about what is happening in the cities that are trying. Flock now works with over 5,000 communities to detect crime, recover missing children, and close cases faster than ever. Ben has been closely involved in Las Vegas, where Flock technology, drones, and community policing have raised clearance rates while reducing use of force. They outline what a real national crime-reduction strategy could look like: solving the police staffing crisis, using intelligence to make policing safer, understanding why clearance rates have collapsed, and how public–private partnerships are filling gaps cities cannot. They also tackle the hard questions around privacy, criminal justice failures, and the hidden role of organized crime in everyday offenses.