Podcasts about East Coast

1,000 people are still missing following the catastrophic flooding in Nepal, with a secondary flood threat complicating rescue missions. Also, 29 million people along the East Coast were impacted by severe storms last night, with more rain in the forecast. Plus, jury deliberations are underway in the Lindsay Clancy trial. And, NASA is gearing up to launch its most advanced space telescope yet. 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 the pod, Josh records from his childhood bedroom with guest host McKenzie as they recap their East Coast travels, including the Family Trips live shows in Philadelphia and Boston and Josh's attempt to untangle his parents' confusing digital accounts and subscriptions. McKenzie shares a family road trip to Down East Maine for her Uncle Mark's celebration of life, including planting a tree with his ashes and a whale-watching trip where they spotted minke whales and porpoises. Plus, they hear listener stories about grandparents repeatedly taking wrong turns into Virginia, successfully trapping a bear with Tim Hortons donuts, and three Minnesota kids enduring a brutally cold January trip to Chicago. Watch this episode on the Family Trips YouTube or Spotify, or listen wherever you get your podcasts! 00:00 Introduction with Josh Meyers and McKenzie01:57 Back Home With McKenzie02:54 Parents Accounts Cleanup Chaos05:31 Lights Lamps And The Clapper06:14 Maine Celebration Of Life Trip16:59 Listener Road Trip To DC20:26 Virginia Five Times22:10 Grandparents Road Trips23:17 Tim Hortons Bear Trap24:29 Bear Safety Tales29:29 Kids Chicago Deep Freeze32:14 Chicago Tips and Food Talk33:43 Football Fandom Banter34:31 Wrap Up and Family Trips CologuardIf you're 45 or older and at average risk, talk to your healthcare provider about screening for colon cancer and ask if Cologuard Plus could be right for you. You can also request a Cologuard prescription online today at https://Cologuard.com ShopifyStart your free trial at https://shopify.com/tripsWhiskerTake an additional $50 off bundles with code TRIPS when you shop https://whisker.com/trips Song Title - Sweet ListenersParody Of - Sweet Virginia by The Rolling Stones Josh Meyers performs “Sweet Listeners,” a parody of The Rolling Stones' “Sweet Virginia,” weaving three unforgettable listener vacation stories into a charming, detail-packed musical memoir. From a brutally cold Chicago trip to a bear who preferred Tim Hortons and a road trip where Grandma's buzzer finally pushed Grandpa over the edge, the song celebrates the hilarious chaos of Family Trips. About the Show: Lifelong brothers Seth Meyers and Josh Meyers ask guests to relive childhood memories, unforgettable family trips, and other disasters! New Episodes of Family Trips with the Meyers Brothers are available every Tuesday. Family Trips is produced by Rabbit Grin Productions. Theme song written and performed by Jeff Tweedy. Executive Producers: Rob Holysz, Jeph Porter, Natalie Holysz Creative Producer: Sam Skelton Coordinating Producer: Derek Johnson Video Editor: Josh Windisch Mix & Master: Josh Windisch Episode Artwork: Analise Jorgensen Learn more about your ad choices. Visit megaphone.fm/adchoices

San Diego Wave FC midfielder Lia Godfrey sits down to discuss her path to the NWSL and dominating the NWSL!Four-time All-American and lethal midfield dynamo Lia Godfrey joins the podcast to share insider insights on her explosive breakout season with the San Diego Wave and making history on the global stage.She shares what it meant to receive her historic first call-up to a U.S. Youth National Team at just 14 years old, making global headlines as the youngest player in USWNT youth national team history to suit up for a youth team World Cup, and what she took from that and her other national team experiences to college and as she joined the professional ranks!Lia also talks about her legendary collegiate career at Virginia, dominating the ACC for six seasons, and her seamless transition into the pros where she locked down NWSL Rookie of the Month honors after scoring three jaw-dropping goals in her first four professional matches, all in the span of one week!She takes us into the locker room to share the mindset shift she's made since joining the NWSL, the words of encouragement manager Jonas Eidevall told her, and she shares how her immediate game-winning impact ranks for her personally in her career (it is quite high on the list!) Lia shares why the San Diego Wave FC project and the growth of the NWSL as a whole was intriguing to her, the transition from college (and being an East Coast. person) to living on the West Coast, and why she loves playing in front of the Wave faithful at Snapdragon Stadium!Lastly, she shares what excites her about this current San Diego group as they continue their stellar 2026 campaign, what she believes it will take for the team to achieve its goals this season, her long and short term goals, and so much more!Thank you all for listening! Remember to follow us wherever you get your podcasts, on Instagram (@the_womens_soccer_podcast) and Bluesky (@thewomenssoccerpod.bsky.social). In addition, leave a 5-star review and tell all your friends about our show!

Recent signing AZ Jackson joins Zarek to talk about his return to Minnesota United, from a childhood on the East Coast to a stint in France and time with several MLS clubs.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In Episode 53 of The League, Benoy Thanjan and David Magid discuss how the solar industry is becoming more complex as policy uncertainty, storage, cybersecurity, and grid constraints reshape project development. They look at growing concerns around inverter supply chains and national security, as well as the impact of changing rules on financing and project timelines. The conversation also covers Massachusetts' latest energy storage solicitation and the rising costs of permitting, interconnection, and network upgrades. They also discuss ERCOT's massive queue of large-load applications driven by data centers and the increasing scrutiny around grid and resource impacts. The episode highlights why success in clean energy now requires understanding far more than just solar panels. Host Bio: Benoy Thanjan Benoy Thanjan is the Founder and CEO of Reneu Energy, solar developer and consulting firm, and a strategic advisor to multiple cleantech startups. Over his career, Benoy has developed over 100 MWs of solar projects across the U.S., helped launch the first residential solar tax equity funds at Tesla, and brokered $45 million in Renewable Energy Credits (“REC”) transactions. Prior to founding Reneu Energy, Benoy was the Environmental Commodities Trader in Tesla's Project Finance Group, where he managed one of the largest environmental commodities portfolios. He originated REC trades and co-developed a monetization and hedging strategy with senior leadership to enter the East Coast market.  As Vice President at Vanguard Energy Partners, Benoy crafted project finance solutions for commercial-scale solar portfolios. His role at Ridgewood Renewable Power, a private equity fund with 125 MWs of U.S. renewable assets, involved evaluating investment opportunities and maximizing returns. He also played a key role in the sale of the firm's renewable portfolio. Earlier in his career, Benoy worked in Energy Structured Finance at Deloitte & Touche and Financial Advisory Services at Ernst & Young, following an internship on the trading floor at D.E. Shaw & Co., a multi billion dollar hedge fund. Benoy holds an MBA in Finance from Rutgers University and a BS in Finance and Economics from NYU Stern, where he was an Alumni Scholar. Connect with Benoy on LinkedIn: https://www.linkedin.com/in/benoythanjan/ Learn more:  https://reneuenergy.com https://www.solarmaverickpodcast.com   Host Bio: David Magid David Magid is a seasoned renewable energy executive with deep expertise in solar development, financing, and operations. He has worked across the clean energy value chain, leading teams that deliver distributed generation and community solar projects. David is widely recognized for his strategic insights on interconnection, market economics, and policy trends shaping the U.S. solar industry. Connect with David on LinkedIn: https://www.linkedin.com/in/davidmagid/ If you have any questions or comments, you can email us at info@reneuenergy.com.   Please provide 5 star reviews      If you enjoyed this episode, please rate, review and share the Solar Maverick Podcast so more people can learn how to accelerate the clean energy transition.    Reneu Energy Reneu Energy provides expert consulting across solar and storage project development, financing, energy strategy, and environmental commodities. Our team helps clients originate, structure, and execute opportunities in community solar, C&I, utility-scale, and renewable energy credit markets. Email us at info@reneuenergy.com to learn more.    

Dave Garcia is originally from Barcelona, and recently moved stateside, to the East Coast. He started coding when he was 7 years old, on a Commodore 64, in BASIC language - and when he programmed an infinite loop, he was hooked. He's been curious about machines, and fixing them - even when they weren't broken. Outside of tech, he is married with a young family. He enjoys playing video games - mostly Dad games these days - and loves to do anything on the water, like kite surfing.A few years ago, Dave decided to take some time off to spend it with his family. When the AI boom started to happen, suddenly the technology became ubiquitous, where AI was changing the life of generations around him. After some investigation, he decided wanted to build something world changing, relevant to the world the knows - which is within the tech mgmt. world.This is the creation story of Pensero.SponsorsTiger DataLinkshttps://pensero.ai/https://www.linkedin.com/in/davebcnCheckout our episode stacks on Stacklist! https://stacks.codestory.co/ Hosted by Noah Labhart | Technical Founder & Startup Mentor.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Were the mysterious Oneida Lake Lights the “Phoenix Lights of the East Coast”?Tonight at 9 PM Eastern on Typical Skeptic Podcast #2792, eyewitness Chad Granoski joins Rob Kalil to revisit an extraordinary UFO incident witnessed and recorded by his family over Oneida Lake, New York, on May 28 and 29, 1997—approximately two months after the famous Phoenix Lights.Chad was at his family's home on the south shore of Oneida Lake when brilliant amber-orange lights appeared low over the distant shoreline. His family retrieved binoculars and a video camera and began documenting formations that reportedly appeared repeatedly throughout the night and into the following day.According to the original investigative summary, the larger case included:• Ten separate episodes over more than 24 hours• Approximately 48 minutes of Granoski-family video• More than 30 reported witnesses• A second independent recording of the same formation• Lights arranged in triangular and horizontal formations• Reflections reportedly visible across the lake• One sequence triangulated toward Redfield, New York• Reports of unusual helicopter activity afterward• A military-flare explanation that remained disputedChad will take us inside what he witnessed, what could be seen through binoculars, how the lights moved and disappeared, what happened to the original recording, and how the experience affected his life.Were these military flares, aircraft, an unusual atmospheric phenomenon, classified technology—or something genuinely unexplained?We'll examine the competing explanations and let you decide.

Self-storage is one of the most misunderstood asset classes in commercial real estate. Most investors assume it's a simple, low-complexity play. Ryan Gibson built it into a billion-dollar operation by treating it like anything but. As Co-Founder and President of Spartan Investment Group, Ryan has organized over $1 billion in capital across 90 facilities and 7 million square feet in 15 states, ranking Spartan as the 29th largest self-storage operator in the country. In this episode, he breaks down the market selection framework, operational systems, and ancillary revenue strategies that separate serious operators from everyone else in the space. About Ryan Gibson Ryan Gibson is Co-Founder and President of Spartan Investment Group, the 29th largest self-storage operator in the United States. He has organized over $1 billion in capital across 90 facilities and 7 million square feet in 15 states. Before real estate, Ryan was a commercial airline pilot. He applies aviation's checklist-driven, risk-first discipline to every aspect of how Spartan evaluates deals and operates properties. He is also co-host of the Passive Income Pilots podcast. What We Cover in This Episode How aviation checklists and go/no-go decision-making translate directly to real estate underwriting The Swiss cheese model of risk stacking and why deals fail for multiple reasons, never just one How to identify the right moment to set the parking brake and walk away from a deal Why Ryan avoids hyped markets and what he looks for in lesser-known markets instead Specific markets with strong fundamentals: Lincoln NE, Northwest Arkansas, coastal South Carolina, coastal Georgia, and markets near military bases and universities The market structure insight that led Ryan to self-storage: 70% mom-and-pop ownership, 10% REIT, and the aggregation opportunity in between How renting his own storage unit during a home renovation changed Ryan's entire investment focus The fish-in-the-middle strategy: buying mom-and-pops, aggregating, and positioning for an eventual institutional exit Spartan's current portfolio (90 stores, $1B AUM) and growth target of 300 stores The virtual manager kiosk system: how one store manager can run five facilities remotely How Spartan's distributed team opens East Coast and West Coast stores outside normal office hours AI voice technology running the after-hours call center, and why it performs as well as their former offshore team How 65% of bookings happen through the kiosk screen with less than 10% face-to-face The tenant insurance captive: how Spartan adds $70,000 to $80,000 in NOI on property takeover, worth over $1 million in valuation at a six cap Why U-Haul partnerships are no longer worth the labor cost How to register every property for cell phone tower placement and generate triple-net lease income Leverage thresholds by deal type and why fixed-rate debt is non-negotiable How Ryan uses Claude AI connected to Spartan's data warehouse to cut 50 monthly investor updates from 80 hours to 7 hours Key Insight Ryan discovered self-storage the way most people discover something that changes everything: by accident. He was renting a unit during a home renovation that stretched from five months to a year and a half. When the landlord raised his rent 20%, he tracked the owner down to complain. The owner told him he had 500 units, raised rents 20% after six months, and nobody ever moved out. Ryan did the math on the spot. That one conversation reoriented his entire investment career. Today Spartan owns 90 facilities. It started with a $20 monthly bump on a unit full of stuff he probably should have thrown away. Why This Episode Matters Self-storage is often treated as a set-it-and-forget-it asset, but Ryan's framework shows it rewards operators who understand demand dynamics, leverage discipline, and operational integration at scale. Investors considering the asset class will come away with specific market criteria, a concrete underwriting framework, and a realistic picture of how scale changes the economics. The tenant insurance captive alone is a revenue strategy most real estate investors have never encountered and can apply immediately on their next acquisition. Find Out More Website: https://spartan-investors.com LinkedIn: https://www.linkedin.com/in/ryan-gibson1/ YouTube: https://www.youtube.com/@passiveincomepilots/videos YouTube: https://www.youtube.com/@SpartanInvestmentGroup Facebook: https://www.facebook.com/spartaninvestmentgroup/ Sponsors Today's episode is brought to you by Green Property Management, managing everything from single family homes to apartment complexes in the West Michigan area. https://www.livegreenlocal.com And RCB & Associates, helping Michigan-based real estate investors and small business owners navigate the complex world of health insurance and medicare benefits. https://www.rcbassociatesllc.com

Episode 27 of Rimfire Radio is another certified shitshow as the crew welcomes Dalton from Foxhound Firearms to talk custom suppressors, shop life, and hypothetical kidney harvesting for dream Volquartsen builds. Between gratuitously flexing Gideon Optics, clowning on missing hosts, and debating whether Dusky's suppressed .380 is strictly reserved for defending a Culver's parking lot, the guys recap some questionable range builds and a suspiciously high match score. They briefly attempt to be responsible adults while tearing into the latest confusing NFA injunction drama and ATF audit nightmares for dealers, only to quickly derail back into gun lubes, astigmatism slander, and iron sight elitism. Gat Lab eventually crawls in from the East Coast just in time to dispense parting wisdom about being cool to new shooters, leaving listeners with two full hours of unfiltered Second Amendment degeneracy and zero actual legal advice.

Lets talk coffee shop etiquette.

Howard the Duck has been waddling around the Marvel Universe for more than 50 years, but 40 years ago he made his big-screen debut in one of the strangest movies ever to come out of Hollywood. We're getting our feathers ruffled and taking a look back at the movie that proved sometimes you just have to wing it! Was Howard the Duck really as bad as everyone said? We're looking at the history, the weirdness, the practical effects, the critics, and the legacy of this infamous 80s cult classic.    News BingeBuster Becomes BingeBrowse - After receiving a cease and desist from Blockbuster, BingeBuster has rebranded as BingeBrowse. Kevin Smith Writes Star Wars/Marvel Crossover - Kevin Smith is writing Star Wars/Marvel: Hope Assembles, a five-issue crossover coming in January 2027. D23 Announcements - Disney revealed news about Ahsoka Season 2, Star Wars: Starfighter, Incredibles 3, Percy Jackson, Marvel projects, and several new theme-park attractions and updates. More Avengers Campus - Disney announced that Avengers Campus will double in size with Avengers: Infinity Defense and Flight Lab. Indiana Jones Gets a New Adventure - Disney announced Indiana Jones & The Myth Of The Jade Serpent for Animal Kingdom. Check out our TeePublic store for some enjoyable swag and all the latest fashion trends What we're Enjoying Jay is enjoying his time exploring the East Coast, including a visit to Acadia National Park, Cadillac Mountain, hiking Champlain Mountain, and biking the Carriage Road loop. It's been a pretty fantastic adventure filled with beautiful scenery and plenty of opportunities to get out and explore. Shua is enjoying Reacher Season 4, with Alan Ritchson back as Jack Reacher. He's once again bringing the character's particular brand of justice to people who are being horrible, and Shua appreciates Reacher's dedication to doing the right thing and helping people who need it. MCU Location Scout MCULocationScout.com is Jay's ongoing project documenting and exploring real-world filming locations used throughout the Marvel Cinematic Universe and related Marvel television productions. Through detailed research, photos, and travel guides, fans can discover where their favorite Marvel moments were filmed. This time Jay has been adding locations from Season 1 of Luke Cage, including Genghis Connie's Chinese Restaurant, a Harlem location that appears in the series. You can explore the locations and see exactly where the MCU came to life at MCULocationScout.com. And don't forget to check out all of Jay's Sci-Fi Saturdays on RetroZap. You can also tune in to SHIELD: Case Files where Jay and Shua breakdown Marvel properties and Superhero Suite for news on comics, movies, TV and more.   Enjoy Ducks! We're celebrating the 40th anniversary of the movie that brought Marvel's cigar-chomping, wisecracking waterfowl to the big screen. We look back at Howard's comic-book origins, George Lucas' involvement, the enormous production, the practical effects, and the movie's spectacular journey from box-office bomb to cult classic.   Then it's time for "What the Duck?", where we try to figure out which critics wrote some of the movie's most memorable reviews. We'll also debate whether Howard was really as bad as his reputation suggests, look at how the character could work today, and explore his eventual return to the Marvel Cinematic Universe.   Can you tell a real 1980s movie from something we completely made up? We're putting our knowledge of bizarre 80s cinema to the test with plots involving killer mall robots, time-traveling cyborgs, zombies, tiny demons, alternate dimensions, and murderous machines. Some of these movies are completely ridiculous. The problem is... they're real! Can you Enjoy Howard the Duck? What are some of the fun qualities of the movie? Let us know! First person that emails me with the subject line, "Put it on my bill?" will get a special mention on the show.  Let us know. Come talk to us in the Discord channel or send us an email to EnjoyStuff@RetroZap.com 

On Today's Show Dr. Sky Talks With Guest Host Dr. Christine Goulet Around the Main Topic of Earthquakes. She Explores in Detail the Mechanics of Seismology, Specifically How the Movement of Tectonic Plates and the Release of Energy Along...Equals to Generate Earthquakes!!!. She Dives MORE Into Clarifying That While the Pacific Ring of Fire Remains the Most Active Zone, Events Like Earthquakes Can Occur Anywhere, Including the East Coast and the New Madrid Region. Plus Talks About How the Improvement of Coding / Technology in Buildings Are Going to Prevent Structures From Collapsing and Saving More Lives!!!

On Today's Show Dr. Sky Talks With Guest Host Dr. Christine Goulet Around the Main Topic of Earthquakes. She Explores in Detail the Mechanics of Seismology, Specifically How the Movement of Tectonic Plates and the Release of Energy Along...Equals to Generate Earthquakes!!!. She Dives MORE Into Clarifying That While the Pacific Ring of Fire Remains the Most Active Zone, Events Like Earthquakes Can Occur Anywhere, Including the East Coast and the New Madrid Region. Plus Talks About How the Improvement of Coding / Technology in Buildings Are Going to Prevent Structures From Collapsing and Saving More Lives!!!

A tornado ripping through the capital of Delaware, damaging homes and businesses, while other parts of the region hit with extreme winds, torrential rain and flash flooding. Also, new developments in the criminal investigations facing former Congressman Eric Swalwell with federal agents now getting involved. Plus, our exclusive interview with "Nascar" Hall of Famer Kurt Busch opening up about the painful and unexpected loss of his younger brother and fellow driver, Kyle. And questions are being raised on what's behind Prince Harry and Meghan Markle's unexpected move back to the U.K. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join host Bobby Goodsby in the chat where he will take your questions live on stream during the #BB28 Thursday Eviction Watch Party. Hangout as he watches the episode, answers your questions, and reacts to everything we see in the episode!Bobby will be going live all season long to discuss the feeds and the episodes alike with everyone in the chat. Be sure to Like, Subscribe, and turn on notifications so that you can be the first to know when he goes live on Youtube! Sometimes late night sometimes early morning it should be a very fun summer!Bobby also goes live on Twitch. if you would like to follow him on Twitch at: https://www.twitch.tv/bobbygoodsbyFollow him on Instagram: https://www.instagram.com/goodsbybobby/Special thanks to our sponsor Big O Brand Skin care. Big O Brand has a special formula of Ostrich Oil and is rich in Omega 3, 6, and 9! Bad strategy gets you voted out but bad skin care will leave you dry and your body dehydrated, Check out Big O Brand for all your skin care essentials and use PROMO CODE: Survivor at Checkout for 10% off! Tell them Fairplay sent you!https://www.instagram.com/bigobarskincare/https://bigobar.com/?srsltid=AfmBOopc3_AesoBcmd6chnib8JNAXrcz1O4JdMrVrxgx4iVGpF8GsxVkCheck out the ALL NEW RealityAfterShow.com official website!Episode links available at RealityPatron.com#bb28 #bigbrother #cbs #paramountplus #expecttheunexpected #survivor #livefeeds #bigbrother28 #podcast #livestream #houseguests #rickdevens #angelaBecome a supporter of this podcast: https://www.spreaker.com/podcast/reality-after-show--5448874/support.

In this Best Of episode of FreightWaves Today, we are replaying top industry interviews that focus on earnings before diving into an exclusive freight market breakdown. David Parker, founder and CEO of Covenant Logistics, weighs in on the urgent necessity of federal tort reform in the face of skyrocketing insurance costs and severe "nuclear verdicts". He also breaks down Covenant's strategic shift away from one-way over-the-road freight and shares his perspective on where we stand in the current market cycle. Julie Van de Kemp breaks down the latest market trends using FreightWaves SONAR, featuring key insights on: Spot vs. Contract Rates: Tender rejections and volumes are stabilizing. Meanwhile, contract rates continue to rise, significantly narrowing the rate gap with spot market pricing. Intermodal Savings Index: Why intermodal rates have remained relatively steady compared to volatile truckload spot and contract rates, offering massive cost savings. Top Cost-Saving Lanes: Analysis of high-savings outbound routes, including key East Coast and Midwest corridors out of Atlanta and Pennsylvania. Rail Merger Impact: How current railroad merger discussions could keep intermodal contract rate increases quiet to avoid regulatory pushback from shippers. FreightWaves Finance Editor Todd Maiden shares his expert financial perspective on the public transport sector. He breaks down recent earnings reports, key Wall Street movements, and what carrier financial disclosures reveal about underlying demand and market health. Chris Versace brings a high-level macroeconomic and OEM market perspective to the show. He analyzes transportation stocks, equipment manufacturing trends, and what broader economic indicators signify for freight volumes moving forward. ArcBest President & CEO Seth Runser dives into the company's strong performance, early signals of demand recovery, and their strategic consolidation efforts. He also highlights ArcBest's latest platform technology and how LTL carriers are adapting to changing market conditions. Aaron Graft, CEO of Triumph Financial, discusses the real-world operational pressures hitting independent truckers and small fleets. He outlines how surging input costs—from insurance to equipment and fuel—are squeezing carrier margins and how tech-driven financial tools are helping operators stay afloat. ⁠Follow the FreightWaves NOW Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI's $2B Series B, backed by GreenOaks and Index Ventures with prominent backers like Fei-Fei Li and Andrej Karpathy, running tens of millions of simulations for Fortune 100 clients like CVS and 85–99% accuracy vs human focus groups. Time to catch up on why this Second Summer of simulation is working!From creating Smallville, the landmark 2023 paper on Generative Agents that showed AI characters could remember, plan, socialize, and develop emergent behaviors, to now building foundation models of human behavior, Joon Sung Park is trying to answer a much bigger question: what if we could simulate the world before making decisions in it? In this episode, the Simile co-founder and CEO joins us to unpack the path from generative agents to digital twins, why today's frontier models still fail to capture how humans actually behave, and what it would take to eventually simulate all 8 billion people on Earth.We go deep on Simile's approach to modeling human behavior: long-form interviews, observational and transaction data, randomized controlled trials, population-level and individual-level models, and post-training on the causal mechanisms behind why people make decisions. Joon explains how his research created digital twins that reproduced human behavior and attitudes 85% as accurately as people reproduced their own responses, why models optimized to be rational can be bad simulations of irrational humans, and why understanding “social physics” may require changing model weights rather than simply prompting frontier LLMs.We also explore the much larger ambition behind simulation: testing products and policies before deploying them, finding counterintuitive paths toward desired outcomes, modeling emergent behavior across entire societies, and potentially tackling problems like climate change, democratic instability, and UBI. Joon reflects on scaling laws for simulation, the economics of data-center-scale simulated worlds, the connection to Thomas Schelling and psychohistory, why simulation is surprisingly similar to painting, and whether we might already be living in one.We discuss:* How Smallville and Generative Agents led to Simile* Why Joon's team asked: “What if we can just recreate the world that we live in?”* Why useful personal agents require deep models of their users* Memory architectures, Markdown files, and the limits of prompting* “Social physics” and behavioral foundation models* Why web data captures what people say more than what they actually do* Interviews, transactions, observational data, and randomized controlled trials* Why predicting the future matters less than understanding how to shape it* How Simile creates representative simulated populations* Simulation versus prediction and the connection to Foundation's psychohistory* How to evaluate simulations instead of simply stacking LLM hallucinations* Creating digital twins of 1,000 real people and reaching 85% behavioral accuracy* Why frontier models can struggle to reproduce real human behavior* Why good simulations need to reproduce human biases and mistakes* Post-training models on randomized controlled trials* Population-level versus individual-level simulation* Scaling laws for human simulation* The long-term ambition to simulate all 8 billion people on Earth* Whether simulations could help solve climate change or detect collapsing democracy* Thomas Schelling and the history of agent-based modeling* Why future simulations could require an entire data center* Multi-agent simulations and what happens when simulated people interact* Replacing expensive human panels with synthetic populations* Why market research is only the starting point for simulation* Why Joon sees simulation as surprisingly similar to painting* Using simulation to study questions like UBI* Whether we are already living in a simulation* Why AGI and simulation may be the twin technologies of advanced civilizationsJoon Sung Park* LinkedIn: https://www.linkedin.com/in/joonspark* X: https://x.com/joon_s_pk* Website: https://www.joonsungpark.com* Simile: https://www.simile.comTimestamps00:00:00 Introduction and Joon's Path from Art to AI00:01:46 Smallville, Generative Agents, and the Origins of Simulation00:05:03 “Let's Just Create a World” and the Future of Personal Agents00:09:53 Social Physics and Behavioral Foundation Models00:14:08 Prediction vs. Simulation: How Do You Shape the Future?00:16:59 How Simile Models Real People and Populations00:25:35 Evaluating Simulations, Digital Twins, and 85% Accuracy00:30:23 Post-Training Models to Reproduce Human Behavior00:40:04 Scaling Laws and Simulating 8 Billion People00:43:10 From Schelling to Society-Scale Agent Simulations00:46:13 The Cost and Economics of Simulating the World00:52:05 Real-World Use Cases, Synthetic Populations, and the Market00:57:27 The Future of Simulation, Painting, and UBI01:04:23 Are We Already Living in a Simulation?01:06:08 Building Simile and HiringTranscriptIntroduction: Joon Sung Park, Simile, and the Story So FarVibhu [00:00:00]: Today, we have Joon in the podcast. Excited to kick this one off. Very exciting company. I wanna kick off and ask you the question, talk us through the story of your life. How have you gotten here?Joon [00:00:13]: Yeah, for sure. I'm really excited to be here. A story of my life. So I was born in Korea, and I lived there for a good 11 years or so of my life, and then my family moved to Boston. So we moved when I was 11, and my parents were doctors, so they were going through their postdoctoral studies. My dad was a surgeon, so he was doing his sabbatical years at the Boston Children's Hospital. So I grew up there, not too close to tech. I was very much a music and artsy, painting kind of guy.Vibhu [00:00:49]: Painting.Joon [00:00:49]: Exactly. I got into painting a little bit later, in high school, but that's what I used to do. And then I grew up mostly in the East Coast after Korea. So I lived a good number of years in New Hampshire, and then I went to college in Pennsylvania. And I got into more of this tech scene, in college. So I was originally trained to be an artist. I thought that would be my professional career. So it wasn't a hobby. It was like, “Hey, let's make a living out of this.” And then gradually, I got really interested in this idea of, hey, the greatest artist often creates their own medium, and the best medium that we had available today was in computation. So I decided to go deeper into that, and one thing led to another, and we can go deeper into this, but I decided that research was something that I gradually got interested in, and here I am.Smallville, Generative Agents, and the 2023 Breakout PaperSwyx [00:01:46]: So there's a lot that you packed into the research components. You had one of the best papers of 2023, which was the generative agents paper, commonly known as the Smallville paper.Swyx [00:01:58]: Feel free to call back to anything else that you mentioned, but most people would have heard of you from this. Do you have any statistics on how many people have, like, read it? arXiv gives you something, right? Some stats.Joon [00:02:10]: Yeah, it's a good question. How many people have read it, I'm not sure.Joon [00:02:14]: I know we do keep track of citations, and they are going up quite fast.Swyx [00:02:23]: Yeah, Google Scholar has 7,200 citations.Vibhu [00:02:25]: I feel like it made a bigger hit than that, and it was a pretty instrumental paper. It got cited so many times.Swyx [00:02:34]: It is frequently the answer when people ask, “What is the best paper you've read recently?” It's this one.Vibhu [00:02:39]: I thought the memory component was pretty underrated. It was a very good early memory system, and one of the biggest papers.Foundation Models and the Search for Killer ApplicationsJoon [00:02:47]: Yeah, so maybe I can talk a little bit about how this particular paper came together. So when I got into research, it was back in 2020 when I started my PhD program at Stanford, and that was the year, when we were about to get GPT-3 to be available. So we already had GPT-2, and you could sense that there was this new class of models that was just becoming available in the market, and the team got very intrigued. And the general consensus was, “Well, is this model going to be useful for anything?” “It's really strange that these models are not trained to do any particular task.” But we decided to take a bet. So a large group of scholars at Stanford, and it was led by one of my co-founders, Percy Liang, and we came togetherSwyx [00:03:35]: Who coined foundation models.Joon [00:03:36]: Who coined the term foundation models. We wrote this paper, where that term came from called Opportunities and Risks of Foundation Models. And during that process, really the thing that I started to think deeply about was, here is a model that is fundamentally new in our ecosystem. The reason why this was new was it wasn't, again, trained to do anything in particular, but its premise was it could do anything and everything. It was like a stem cell, if you were to take a biology analogy. And I got really interested in this idea that, well, if we were to really think about what are the killer applications that this particular technology would enable, what would that be? Many of my colleagues were using this for simple classification, simple generations. Interesting that these models can do that, but from an interaction perspective, not that interesting. We've known how to do that for many decades. And what we came down to was these models are trained on this very broad data from the web, right? So these are human behavioral data. It's social media, Wikipedia, all these data. So if you poke at the right angle, then you could see human behavior that would just pop out that's quite realistic, and we've never seen that before.The Time Machine Game and Recreating the WorldJoon [00:04:45]: So that got us really interested. The exercise that we decided to do, with this particular group of colleagues, Michael Bernstein, Percy Liang, and myself, who ended up becoming my co-founder at Simile, we sat down and we played this game that we call the time machine game.Joon [00:05:03]: Imagine we were to get on a time machine and fast-forward 10 years and look back. What would have been the single application that will have mattered that would be the most interesting and inspiring? And when we thought, “Well, what if we can just recreate the world that we live in?” it's really hard to get more ambitious than that. Like, let's just create a world.Joon [00:05:24]: And that's where we started. And initially, we had this paper that was a precursor to the generative agents paper called Social Simulacra.Swyx [00:05:32]: Before you go further, were there other candidates for the most ambitious thing in the time machine exercise? What was number two or number three?Personal Agents, User Models, and Why Simulation Came FirstJoon [00:05:44]: There is a close second that we were considering, which ended up becoming more of these automation tools, especially the vision around really personalized agents that would do things for you.Swyx [00:05:59]: That's also happening.Joon [00:06:00]: It's also happening. But it was interesting for us, right, in that the reason why, we decided to go with the idea of simulation, one, I was a huge science fiction nerd, and this idea of creating simulation, I was personally really just fascinated. I loved the idea. It's really cool to see, like, a game town like this and just see these agents live in it. But at the same time, my bet was if you were to create a really amazing personal assistant out of this technology, what you need first is an amazing model of your users. So I told a model, “Hey, can you go buy late dinner for me?” And it orders Hawaiian pizza, and I do not like pineapples on my pizza. Then it totally failed. The way for it to not make that mistake is only by having a deep understanding of who I am. And I gave a very simple and dumb example here, but you can imagine how this core understanding of people is instrumental. This is how, if we have our family and closest friends, they have a good mental model of who we are. That's the basis of our social connection. So our bet also was this technology around simulation, creating accurate representation of people ought to precede the more complex agents that would automate the world that we live in. So that was the bet. But that was a very close second, and I'm still very much fascinated by it. I think there's a lot of interesting work that's going around. My hot take here, though, is I don't think we've seen a true personal assistant that's useful, in ways that meet the ambition of that particular line of work. I think there are early applications that are interesting, and if you talk to even ChatGPT nowadays or Claude, they know a lot about us. So a lot of the generation it's doing, I do think it's much more tailored, but I think the ambition is quite large in that field, and I don't think we quite have all the right ingredients just yet.Swyx [00:08:01]: So OpenClaw and these personal agents, what do you want to see from them that they don't currently have?Memory, Markdown, and the Limits of PromptingJoon [00:08:09]: I do think it's slowly getting there, but I do generally want them to have much deeper understanding of the person. Right now, you look at the models. OpenClaw, what it's leveraging is a Markdown file, and I think it's quite clever, right? So if you look at the generative agents paper, this was the same intuition that we had, where initially when we were creating the memory architecture for the generative agents, and, like, this is, like, back in 2022, so we didn't really quite have the idea of even agentive architecture or the term agent. But the intuition that we shared with some of the work that's coming out today was we initially thought, “Well, do we want to make the memory into, let's say, knowledge graph? Do we want to train a bespoke model?” All of these things. And what we decided to do was, “No. Just forget about all this.” These language models are quite good at modeling text and understanding and reasoning about text. So just put everything in a Markdown file or a text file. You're done. I thought that was quite interesting that we could do that, and there's a lot of strength in doing that. But also, there are limitations. It's the way you retrieve and make sense of data that's extremely large, it takes a lot of work. So I think that technology is getting better. I also do, however, think, there are certain things you just cannot shape just by prompting the model. So to some degree, you do need to touch the parameters of the model itself. So there is this work that I do think does need to happen, and it is happening. The question is, how far can we take it? How do we source data, and how do you also create an ecosystem where people are continuously feeding data to this model so it's learning about you?Vibhu [00:09:50]: What's the intuition between why you need to do it in the model?Social Physics and Behavior Foundation ModelsJoon [00:09:53]: My intuition behind the actual when do you train or even post-train a model versus just prompt a model is if the model has to learn the underlying physics of the world that it's operating in. So it has to learn new social physics. The places where it doesn't have to train are the places where it already has the physics. We trust the physics. It already has the base statistics, but it's just trying to react to an environment. Then I think you can just prompt your way into getting the actions out of it. I don't think the models that are out in the open have yet learned the complete mapping of social physics of humanity. This is one of the core theses of Simile, right? And one of the core reasons why that is the case is if you look at the data that the model was trained on, these models were trained on the web data, like, whatever was available on the web. And these are really interesting data sets, but they are fundamentally the self-exposed attitudinal data with some behavior data that's sprinkled around here and there. And it has yet to learn the really deep behavioral nature of people, not just what people say they do online, but what they do in real life. And this is one of what I would consider to be the dark knowledge of humanity that we haven't quite captured. And it's these data that would also need to get factored into the model creation.Vibhu [00:11:21]: You call it behavior foundation model.Vibhu [00:11:23]: There's a good one-liner here, but outside of that, what type of data do you need? What are you changing on the model level? How do you go about modeling, doing a behavior foundation model?The Three Data Buckets: Interviews, Behavior, and CausalityJoon [00:11:35]: We think about data in three buckets. So one bucket is interview data. It's quite interesting. Rich qualitative data is interesting. It's not behavioral, but we would literally ask people, “Hey, tell me the story of your life.”Vibhu [00:11:53]: It's just what we're doing here exactly.Joon [00:11:54]: The question that you all asked at the beginning of this interview literally is the question we also ask. And we ask our participants to go a little bit deeper, than how far I went. Maybe I can give more of my life story in lieu of this. But the reason why that data is interesting is by learning about this very long-tail information about people, you get a lot of texture around this model, like, this person as a model. So even understanding their childhood memory or even their trauma, their first love, these things, quite informative in ways that's really hard to predict. So that's one. Then there are two tranches of what I would consider to be the behavioral data. One kind of behavioral data is observational. So these might be like transaction data, or these might be data that you can get by scraping the web, right? So you can imagine why these data sets would be interesting, right, because they give you the base statistics of people's behavior.Joon [00:12:55]: But then there is the last category of data, that I personally think is perhaps the most important, which is the data that describes the causal mechanism, the whys of people. Some of this is covered by the interview data, the qualitative, because people talk about why they made certain decisions. But really, where you get to see the most behavioral aspect of this is in randomized controlled trials, like RCTs. Imagine you have the same setup, but you have a few different variables that you are trying to tweak. Can you get realistic human behavior out of it in ways where, imagine you had this particular option. Imagine you're even trying to choose whether you're going to drink coffee or not. The day you drink coffee versus the day you didn't drink coffee, does your behavior change? That's a data set that describes a causal mechanism. This is quite important in modeling people. The reason why this is important is oftentimes when people come to us, or not just to us, but the reason why people are interested in simulation isn't because they want to predict the future. If you're trying to win against the stock market, predicting the future is interesting.Prediction vs. Simulation: Shaping the FutureJoon [00:14:08]: But most people, most decision-makers, what they want to know is, how can we shape the future? It doesn't really help you to hear that your sales are going to tank in two quarters. They're just gonna say, “Wow, that sucks.” What they want to know is, well, what do we need to do now to avoid that future? That's the causal mechanism. And this is also very hard data to come by, right, because the world is our ground truth, but it happens once. So in a very controlled setup where everything is equal except for one variable, this kind of data set rarely happens. So this is a reason why this data set is both hard to come by and quite important if you're trying to model human behavior.Swyx [00:14:50]: So behavior, I think, is the hardest data set to acquire. What is out there? What is even possible? You're not going to know a lot of details about my life. I don't even have data for myself on my own health or habits, and I just don't log everything. So how can you have that data?Joon [00:15:14]: So we run a lot of randomized controlled trials.Swyx [00:15:17]: But you put people in the lab, they watch them sleep, or what?Joon [00:15:20]: We do care a lot about the consent process. People know that we invite them to be a member of this community to both share data and have themselves represented in different forms. But we bring a lot of people to the lab, or virtual lab, where we design experiments that would pose them real behavioral decisions. And often in these experimental setups, what makes the difference between what is attitudinal versus behavioral is whether the stake in your decision is real. That's ultimately what makes it behavioral. So in these setups, we are inspired by our colleagues in social sciences, psychology, and so forth. So when they run studies, the techniques they utilize is imagine there's an online store that you're inviting people to come by. Then whatever they purchase in this experiment, they actually get that item delivered. Like, these are the things that make the stakes real. So we run a lot of these experiments, and we also do partner with firms. Right now, we also have customers who are quite excited to at least give us a glimpse of the behaviors that their users exhibit so that we can get a little bit deeper understanding of how people behave in these different platforms.How Customers Use Simile: Populations, Queries, and ExperimentsVibhu [00:16:39]: I think on the customer side, they have a lot of data about their users, who has bought. They have the action data.Vibhu [00:16:47]: Can you walk us through an example of what someone comes to you for? What questions would they want solved? Do you customize a model for them? Do you have something off the shelf? What does that look like?Joon [00:16:59]: Today, when people leverage our models, it's often to better understand the population of their interest. So usually, the start of the relationship, we come together and hear about what population they want us to model, right? So it might be that if you're a CPG company that's selling to all of the US, then maybe it's fairly straightforward. You want to model the gen pop of the US. But at the same time, if there is a vertical or if there's a market that they're trying to go into, imagine, they want to better understand, let's say, people in their 20s and 30s living in California. That's a much more specific population. So we hear about this population, and we go recruit these people, with consent, and with incentives, and we collect some of their data and create a model of these people. Then what our product allows you to do is query them. So it can take as input a filter that is a description of the population that you want to talk to, just like the one I just mentioned, and an environment. The environment can literally be survey questions, behavioral experiments, It can be A/B testing. Oftentimes, the core use cases are things like concept testing, to start with. But also, people sometimes want to do focus groups or one of the fun use cases that we also serve is even modeling things like earnings calls for public companies.Joon [00:18:21]: So these are the use cases that we often start with.Swyx [00:18:23]: Concept testing, is that an established term? I've never heard of concept testing.Concept Testing, Gallup, and PoliticsJoon [00:18:27]: Yeah. So it has to do with they have, let's say, different messaging, different products, different ideas.Swyx [00:18:32]: It's like a marketing exercise.Swyx [00:18:33]: Okay, got it. Got it. Politics?Joon [00:18:36]: We do, have a strategic partnership with Gallup, and of course, Gallup is deep into policy space and so forth. Right now, we have not worked deeply with politics, like that area just yet, however.Swyx [00:18:49]: I'm curious if there is demand or if they really would have different needs that somehow fundamentally don't mix with your existing, users or people.Joon [00:19:00]: I think there's certainly demand.Joon [00:19:02]: But we are very much mindful of how this technology gets adopted and the societal impact that we'll end up having with this technology. And I do see politics as an area where a company has to be particularly thoughtful about the way they operate and make impact. So this is where we also want to make sure that we form enough of guardrail and perspective on how to leverage this technology before we go on to serve markets like the politics.Swyx [00:19:29]: I'll give people an example. one of my favorite shows is The West Wing. I don't know if people have watched.Swyx [00:19:34]: One of the key storylines is, like, the president has, multiple sclerosis, but they haven't. they need to figure out how to disclose it. So they run a poll with a fake governor and ask people to respond on the poll,Counterfactuals, Polling, and When Simulation Is UsefulSwyx [00:19:47]: They try to make decisions based on the results of that poll on, like, how well they'll be received, like where, how should we play this?Swyx [00:19:54]: And I'm like, well, I think those counterfactual things, I would use a simulation for this if I could trust it.Joon [00:20:01]: For sure.Joon [00:20:02]: In that show, how'd it go?Swyx [00:20:04]: In that show, it was, like a foregone conclusion. They were like, “We know it's bad. We just don't know how bad.” And then the poll came back. It was like, “It's really bad.” And then they just did it anyway.Joon [00:20:14]: Part of it is to show, right? So you're, you're looking at the ideaSwyx [00:20:17]: Maximizing drama.Joon [00:20:18]: How bad could it be? Oh, it's horrible.Swyx [00:20:20]: And to some extent, I think that is part of the trick of the, or the challenge or with being a customer of yours, which is that if I know it's. if I roughly know and can intuitSwyx [00:20:35]: What the effect is going to be, do I need you? What sensitivity of it, of effect do I need in order to make a decision, right? So for example, if I, my approval rating is 50%Swyx [00:20:48]: And I, they have this negative piece, news item comes out, and it drops to 30.Swyx [00:20:52]: If it drops to 20, if it drops to 40, do I care? No. It, I know it drops. It's negative. So when do I care about simulations?Joon [00:21:01]: You do something that's clearly bad, that's not popular, and people don't like you, like, yeah, it's likeSwyx [00:21:05]: You don't need a simulation.Joon [00:21:07]: Yeah. Well, so there are a couple of things. one is, there are use cases where, like every day, developers, designers, policymakers, marketers, every single day, they create assets. They create new products. And turns out, it's many of the decisions in hindsight is obvious. Yes, of course this is bad, but we still run those studies because understanding the magnitude and understanding how acute something is quite difficult, even if, we feel like, of course, like this makes sense. this is the reason why we make so many mistakes. Like, every time somebody goes online and say something that has huge backlash, you look at that and like, “What an idiot.” However, it's tough. That's one. There's also another aspect here, which is, again, this is the reason why simulation is different from prediction. In simulation, in the ideal case scenario. So what simulation is trying to show is it's trying to show each step of the way or each step that we need to take to get to a certain outcome, right? So in the most advanced simulations, sometimes the next step that we're suggesting might be quite counterintuitive. The analogy that I sometimes give, and I ground it in a more realistic example, but, I, as I mentioned, I'm a huge fan of science fiction, and I don't know how, many of the audience members have read, like, things like the Foundation series by Asimov.Simulation as a Path, Not Just a PredictionSwyx [00:22:37]: Oh, yeah. We've mentioned psychohistory a number of times.Joon [00:22:39]: Okay, fantastic. So I might be, talking to the right crew. If you read Foundation series, literally the first act is there's a group of scientists who have found out that, “Oh, our galactic empire is going to collapse, and we're going to have 30,000 years of unrest.” And they run psychohistory, the simulator that tries to teach them, “Okay, how can we keep this unrest to a 1,000 years?” And they plan this out, and the first step of that plan is to get the scientists who say, “Okay, this is coming,” exiled into this random place in this, galax- galaxy.Swyx [00:23:18]: Terminus.Joon [00:23:19]: Exactly. And that's so counterintuitive. Like, what a strange move that you literally sent the group of scientists who was raising voice around this potential collapse of galactic empire into nowhere. How is that the right first move? Well, it turns out in this particular simulation, that was the move.Joon [00:23:40]: It's these things, right? And the reason why these reasoning is possible is because you're showing the step function or each step that results in a particular outcome. So really what simulation allows you to do in its highest form is you give it not a problem or question, like what would people answer to the survey? That's not what we do. What we tell it is, “Here is a goal that we have. In the context of foundation, we want to keep the unrest to a 1,000 years. What is the path that we need to take now to get to that particular future?” And that's what simulation allows you to do. Now, translating that into real market, imagine you're a automobile company and you're about to release a, EV, and you're trying to understand, well, how do we market EV, to make sure that our stock price goes up? But what if the answer comes down that, well, you can market your EV in XYZ way, but that might change people's perception around the cars that's not EV and make your overall sales to go down. Not very intuitive, especially all you're trying to optimize is EV salesss, and that's the only thing that you're tracking, then that might result in a completely wrong solution, or at least different solution than what you would have expected, whether it's right or wrong.Joon [00:24:57]: That's the power of simulation.Swyx [00:24:58]: For listeners, we covered a similar topic with Mikhail Parakhin from Shopify, where they are working on SimGym. I don't know if he ever talked to you about it. it's very similar.Joon [00:25:07]: ISwyx [00:25:07]: The goal is increased conversion, but then the journey is very unusual.Joon [00:25:12]: Journey is unusual.Swyx [00:25:12]: Yeah. The-- He's trying to look for interventions on a shopping trajectory, which is similar to what you're saying. Like, it's not about the attitudinal, is your word for it.Swyx [00:25:24]: It's about behavior.Joon [00:25:25]: It's about behavior.Swyx [00:25:25]: And that's exactly the difference, right? It's, like, not about the near-term direction about-- but it's more about, like, how do you affect multiple turns of interactions.Vibhu [00:25:35]: You had a good quote at the start about this as well. It's not about people wanting to know the outcome. It's about how they can change it, change the way to get there, something like that. But I wanna take it back to how do we know this is grounded? LikeGrounding and Evaluating Digital TwinsVibhu [00:25:47]: How do you run evals? How do you test that simulations come through? if I was to do the same thing that you described with, say, your favorite LLM, Opus, GPT-5.6, have some agent to map out these thingsVibhu [00:26:02]: How different are the answers we would get if I give it the same goal, the same objective, make a decent system? You're saying that you need to change the model weight. You have your own solution to this. But how far off are we, and how do you check if it's grounded? you have some interesting stuff on your site that points to how you run real evals, but if you could take us through that side. I think that's one of the big concerns that people have. They're like, “LLMs hallucinate.”Vibhu [00:26:27]: “You're just hallucinating layer after layer,” right?Joon [00:26:30]: The way we do this, and this is the paper that we worked on after the generative agents paper that really became the, at least for Simile and also the field of simulation and synthetic panels, really became the foundation. Yeah, this is the paper. the paper is called Generative Agent Simulations of 1000 People. Here's what we've done. For this paper, we brought 1,000 people that's representatively sampled from the US to a virtual lab. And what we have done was we spent two hours collecting fairly wide-ranging data. In this particular study, we focused a lot on this interview data, that was, whose script was taken from this project called American Voices Project. And then we would also pair that with a lot of behavior data and so forth, whatever we can collect within two hours. And then we would send these people away for a couple of weeks. And during that time, I would use this data to create their digital twins. And I would bring the humans, participants back after 2 weeks and have them complete a battery of surveys, experiments, behavior studies. So we have the list here, which included things like behavioral economics games. We would run literally, like, Big Five personality test, General Social Survey. We would also go ahead and run the randomized controlled trials that were published on PNAS. And we would have their digital twins predict how the source individuals would have acted in these studies and surveys. And this is where we could replicate people's behaviors and attitudes 85 percent as accurately as people would replicate their own. So that was the first really paper that gave this validated results that we can model individuals in an accurate way. And what we ended up finding now, of course, in AI space, so this paper came out at the end of 2024. AI space, a year and a half, 2 years, that's a lifetime.85% Accuracy and Why Frontier Models Miss Human BehaviorSwyx [00:28:24]: Yeah. Just, for listeners who are not seeing the YouTube, I just wanna say, like, the headline figure is 85 percent accuracy, like, which is a big improvement over all the otherSwyx [00:28:34]: Methods that you showed.Joon [00:28:36]: But the part that was particularly striking to us, especially as we improved this technology even further, was the generative AI models like ChatGPT, Claude that's coming out, it does give you the right foundation. However, what they do not consider is the true attitudinal and behavioral aspect of people, especially in the population that you care about. So what these models are really good at today is they're trying to become the super rational, objective machines, right? So you go get their data from places like Mercor, Scale. You talk to professional programmers, scientists to create model that's amazing at reasoning. That's what they do. Simile doesn't care about any of this. The models that we're talking about here, what we're trying to create are models that are as dumb as I am, right? So if I make some mistakes, the model has to make the same mistake.Swyx [00:29:34]: Oh, that's very hard.Joon [00:29:35]: That's very hard.Swyx [00:29:36]: You're solving Murphy's paradox.Joon [00:29:37]: That's exactly. And this is a completely different data and training objective. This is also where we see quite a bit of discrepancy in the performance in human behavior prediction between the frontier models, Simile's model, and the models being created in this space, where in some cases, the model performance of frontier models go all the way down to 20, 30 percent, especially if you go into that more niche population on topics that our customers would care about. On more gen pop, it might be around 50 to 60 percent. So it's not very robust. Like, you wouldn't want to make your decision off of these and these findings. If you can bring that up to 85 percent, that is ultimately what people end up getting very excited about.Swyx [00:30:20]: Yeah. Do we wanna keep going on the paper, routes?Joon [00:30:23]: Yeah, for sure. So the last one, was an interesting one. So this, paper was the follow-up paper that we had, to the 1000 agents paper, where the idea was now can we augment the models even further and post-train a model based on a lot of randomized controlled trials? So this was an interesting one. The data is always the most interesting part of modeling in many ways. The data that we got here was there's this, there's this platform called Open Science Framework. So some, the audience might be familiar with this. And there has been, especially in the social sciences over the past 5 years or so, there has been this concern around replicability of studies. And so it was a bit of a crisis, the scientists acknowledged, where we rerun the study and we don't see the same finding.Post-Training on RCTs and Replication StudiesVibhu [00:31:12]: Oof.Joon [00:31:12]: It's tough. And the reason why it's there-- that was often the case was there's this survival bias where the papers that get published often need to maintain what we call the value of less than 0.05 in the experiments that we ran. That suggests that only-- there's only 5% chance that the results that we saw is false positive. But the tricky part was all the papers that were not published, and there's still a 5% chance that whatever we publish is totally just randomly generated. Like, there's a 5% chance that, hey, this effect is not real, but it just happened to be real because of the sampling bias. So because of that, what scientists started to do was they started to register their studies. So before running an experiment, they would go to this platform and say, “Here is the data. Here is the population that we're collecting, and here's the hypotheses.” And they would just say, “Here is our hypothesis.” Like, “This is what we believe.” And you cannot retroactively change those hypotheses. This is what gives us more scientific statistical confidence that whatever effect that you ended up seeing is true. So that ended up creating this really interesting platform where there's one platform that has now contains tens of thousands of real-world experiments and hypotheses. And a lot of these are really high-quality, like, professionally designed behavior studies and random- randomized controlled trials. So we got the data and the studies from this platform and used that to make a point. And this particular, model is not, something that we're serving commercially because this was a part of the open science. But this particular data set, helped us make a point that by collecting a lot of these randomized controlled trials, that are really well-designed, we can make significant improvement in model's capability to predict human behaviors. So that's what this paper was about.Vibhu [00:33:10]: Is this stuff done on a individual level? Like, do I need to tune the model per individual, per company? Is there foundation model changes and then some slight post-training? Anything you can share there?Population-Level vs. Individual-Level ModelsJoon [00:33:21]: So this particular model was trained. the data we had at the level of individuals, but this particular model was trained. We experimented with both. And this is what we end up doing at Simile too. We always train 2, distinct model. One is what we call the population-level model. The other is what we call the individual-level model. And both take very similar input, which is the description of a subpopulation or individual and a stimuli. In this particular work, we've done the same. Here, the results that we are reporting are much more geared towards individuals because we do think that is a harder task in many ways, but that's what we have done.Vibhu [00:34:02]: You seen anything on the questions that humans can solve that models can't solve? So likeHuman Biases, Mundane Choices, and What Models MissVibhu [00:34:09]: Currently, it's, I live 5 minutes walk away from a car wash. It's a 10-minute drive. Should I walk or drive?Joon [00:34:16]: Huh.Vibhu [00:34:16]: The model will say, “Oh, walk to the car wash.” And, you don't have your car.Vibhu [00:34:20]: Is anything like this a problem in simulation? You would assume, like, very simple for human to think about, but if the model is saying you should walk to the car wash, anything here?Joon [00:34:32]: It's less, what can we solve, but I think it's more about what biases or mistakes do people make that models miss. Like, imagine that you are, like the. When I was still at Stanford, I lived in Palo Alto. So it's about, I would say, 40-minute walk from the campus. You ask the model, “Okay, let's go home. What can I, what can I do?” It would likely call an Uber or, give me, the bus time. But for the longest time, I really liked walking back. And the reason why I wanted to do that was not for efficiency. It really helped me think. And I like to walk for, half an hour or 40 minutes or so a day, where I just get to, just think about ideas, research, just get lost in my thoughts. That's very human activity. Unless the model has seen that and understands the importance of that activity, it would miss these kinds of features. So that I think, is fundamentally what we're trying to model. Like, what is fundamentally human might not be the most efficient thing to do, might not be the right thing to do, but things that make us who we are.Swyx [00:35:43]: I'm curious if, there are some data sets that you really want that would materially help you. One version of this may be interesting, which is more valuable to you to acquire as a data set, all of LinkedIn, all of Twitter, all of Facebook?What Data Matters: Social Media, Transactions, and FacebookJoon [00:35:57]: It's a little bit hard to rank, in part because, there's, there's this product saying where no feedback is wrong because it teaches you something about your users. Doesn't matter what feedback.Joon [00:36:11]: I think it's a little bit like that.Swyx [00:36:12]: So just whatever is bigger.Vibhu [00:36:13]: What about a different domain? Say it was. What about all of Amazon data?Joon [00:36:17]: Oh, yeah.Vibhu [00:36:18]: Shopping data, right?Joon [00:36:18]: Shopping data. So Amazon data is interesting in that it's very much behavioral, although, like, what people do on social media, you could squint and say that is also behavioral. But the transaction data is always interesting. It is also most commonly available, however.Joon [00:36:33]: If we were to look at purely social media, like if you really, if I were, if I had to really pick, Facebook likely is interesting because I do think it is most a default version of people. Because you go to LinkedIn, it's very much professional environment. So people put up their, they have their guards up, right? And that still is interesting because that is true human attitude and behavior, but it is not your base state. you go to Twitter- Twitter, people have their own crazy personas, or depending on who you are. Like, my Twitter profile and, persona is very much, initially was I was very much an academic. “Hey, I'm here to share my studies.” Now, I share, things that's related to Simile. But Facebook is one of those more private space where people just connect with their friends. In that way, I do think it shows you a little bit more about who that person is. So if I had to pick, I'd likely pick, Facebook.Swyx [00:37:30]: Yeah. And you're interested in, like, the whole person and their background and philosophy. I, is it too clinical or too machine learning-oriented to just say this is just ways to inject variance and biases? The broad question, is, like, is this any better than a randomized, like, combinatorial explosion version? So we have a link to the TencentBillion Personas, Synthetic Demographics, and Bespoke DataSwyx [00:37:54]: Billion persona paper, where they did not do any of the groundwork that you are doing.Swyx [00:37:59]: They just did like a cross matrix of here's all the professions in the world, here's all the people, possible backgrounds in the world, do a dot product across all of them, and that's it. That's your prompt for a billion people.Swyx [00:38:12]: This will do something. I don't know if it'll do what you do, but it gets you some way, some percent of the way there.Joon [00:38:18]: So this was an interesting paper. Like, what I admired about this paper when it came out was the scale. And you do gradually want to be able to simulate really large societies and interactions. So the scale is definitely admirable. it is relying heavily on the known statistics that went into training the model. So to the extent that you believe that statistics is correct, this is not a bad way to go about this. But the thesis here, and this is something that we also have seen in the market, like if this works, then we have solved simulation.Joon [00:38:54]: It,Swyx [00:38:55]: Because I survey, like, okay, 5% of the US population is in construction.Swyx [00:39:01]: The other 5% is in medicine, whatever, right? And then you just keep going down the list, and then you do the other side. 5% has, like, the big 5 personalitySwyx [00:39:08]: Of, like, neurotic or whatever. That's it.Joon [00:39:11]: That's it. So if you believe that the underlying data set and the platform that we're leveraging has all the right statistics, then this will have solved it. you're at that point merely retrieving the knowledge that is already embedded in the model, in the model parameters. That's not, unfortunately, what we see, where there is such detailed and also niche knowledge about people that if you just take one example, it might feel very mundane, but it's quite rich when you put together, that you do need to do a lot of bespoke data collection to better understand people. And this is also, I think what makes this particular, job fun, which you want to deeply understand people, and the process of deeply understanding them requires a lot of attention to the details. And you do need to pay attention to and pay respect to the daily lives that people lead.Scaling Simulation: From Thousands to SocietiesVibhu [00:40:04]: I wanna talk about scaling simulation.Vibhu [00:40:07]: So what can't we simulate, what can we simulate, and how does scaling affect this? So how big are the models? What if we go from, 8B, like, couple 100 billionVibhu [00:40:18]: Like billion000 parameters, billion000? Do we get scaling? Any interesting emergence? Like, at a certain scale, at a certain amount of training, you uncover anything unusual and any learnings from that?Joon [00:40:31]: What we are seeing is at Simile, so we do post-train our own model. The thing that we're seeing is the early glimpse of scaling law in simulations. The more data about humans and more compute you ingest, you start to get predictive and predictable gains of the model performance in simulating it, simulating people.Vibhu [00:40:51]: Ooh. We need a scaling law curve.Joon [00:40:52]: It's scaling law. Whenever you find it's a beautiful thing. And we're starting to see the glimpse of it, which is quite exciting. But if you talk about the ambition of simulation as a whole, it's not merely about building a model. It's about building a model, then creating the agents that become the individuals in a much larger ecosystem. So they're creating this multi-agent simulation. Down the line, you want these multi-agent simulation to also live in a very rich environment, right? What we are really trying to get to at that point is, hey, can we create. All right, let's do a time machine game again, and 5 years, 10 years into the future, can we create a simulation of 8 billion people living on Earth? I think that's quite interesting. And that really is the vision. And once you get to that state, the questions that you can help answer for the society also start to change from my perspective. The answers are fundamentally about emergence of the emergent behavior of society and large groups of people.Joon [00:41:53]: So the questions that I get excited by, and maybe this is a stodgy- a bit. I have my, academic side of me.Joon [00:42:01]: And for me, it's questions like, can we help solve climate change? If you look at climate change as a problem space, this is what we, like social scientists would often call it the wicked problems, problem where you have many actors with competing incentives for trying to make a very complex decision and coordinating that coordination decision. Very difficult to really solve in real life, which is also the reason why we couldn't solve it. Can simulation help us solve that? Another one is, can we understand the signals for collapsing democracy, or can we understand or can we uncover the origin story of the monetary system? These are societal questions that we never really had a good way of answering. If we can create simulations of our society, you have to believe that these are the problems that we can solve. So that's really the ambition of this field. And, I also think, yes, I think there's a Nobel Prize to be won there, which wouldn't be surprising. And I think there's some amazing societal impact that we can have to help people make better decisions.Climate Change, Democracy, and Societal SimulationSwyx [00:43:04]: Nobel Prize in economics?Joon [00:43:06]: In economics.Swyx [00:43:06]: Oh, I see. I see. Rooting for you to write that paper.Joon [00:43:10]: One of these days. But, one of the scholars that I was deeply inspired by, When I was coming into the space of simulation, is this scholar, named Thomas Schelling.Schelling, Agent-Based Models, and the Nobel PrizeSwyx [00:43:23]: Schelling point?Joon [00:43:24]: So the canonical example of the work that he's done was he was one of the creators of agent-based modeling. So this was, like, in the 1970s and 80s. It's very early days, but this was truly one of the first exemplars of simulations. And one of the canonical model from that time, and of course many of these simulations are trying to tackle the societal problems that's most relevant for their era, it was called the model of segregation. So racial segregation was a big topic, that, we cared about. And what they've done was they created this grid world where they had red dots and blue dots. And these dots were, back in the day, like, they were the agents, and they had a simple rule that governed their behavior. If certain percentage of your neighbors are of different color and if that goes above certain threshold, then you move to a new location at random.Joon [00:44:21]: One of the striking finding of this paper or this agent-based model was for the longest time, people thought the segregation within society was caused by explicit and overt racism.Joon [00:44:34]: But if you look at this model, people's preference towards living with people of the same color, that preference can be very minute.Joon [00:44:42]: But the very small difference causes the society to segregate completely over time. This was very counterintuitive for a lot of people. And this particular work ended up informing housing policies. Mixed income housing, got really inspired by this work. And Thomas Schelling ends up winning the Nobel Prize for having laid the groundwork for very early versions of simulations. The opportunity that I do see here in the more scientific terms, is agent-based models for the longest, had impact in the 1980s, 90s, to some extent, early 2000s, but it has now gotten forgotten by the community a little bit. Because as you can imagine, red dots and blue dots is not really a rich description of people.Joon [00:45:31]: But with the emergence of things like generative AI and, in particular, generative agents, we do have an opportunity to create these agent-based models that are high fidelity enough to help us make really complex decisions. And that's the opportunity that I see. If that truly works, then yes, that is the work that will result in a Nobel Prize.Swyx [00:45:53]: Yeah. For what it's worth, and I grew up in Singapore. 80% of Singapore is in public housing, and public housing has, enforced racial quotas for exactly that reason, which is very interesting. okay, so we talk about scaling, we talk about all these, the agent possible applications.Cost, Reuse, and the Economics of SimulationSwyx [00:46:13]: I'm scared about the cost. if you even-- let's just keep it to the US, about 8 billion people.Swyx [00:46:21]: But, how much does it cost to model so many hundreds of millions of people?Joon [00:46:26]: Oftentimes today, we don't start at that scale, this stage of the, of industry and simulation as technology. But we can get our users extremely rich and meaningful insights even by modeling thousands, tens of thousands of people. And today what we do is every week we are collecting data on the scale of tens of thousands people's data, and we have panel partnerships that gets us to tens of millions of people globally. So that's what we do today.Swyx [00:46:55]: And just as a side note once you've collected one person for one studySwyx [00:46:59]: Can you reuse that same person for all the subsequent studies?Joon [00:47:03]: That's exactly right.Swyx [00:47:03]: Okay.Joon [00:47:04]: The beauty of this model and these agents is the fact that they are domain-agnostic.Joon [00:47:08]: That what you're really trying to understand is what is the fundamental nature of these people? What's their social physics? And there are a lot of, a lot of, people that does change over time. Like, even, like, even things like, how many times have you gone have you been to, like, CVS the past week? that will change. But there's so many traits about people that are also known to never change. Like, your risk tolerance doesn't really change over time. It's very consistent. So it's these things that we're trying to learn. But the scale we are operating is right now hundreds or, tens of thousands to hundreds of thousands. And in many of the core use cases that we are deployed in, and this is more than enough population, to cover those. Really, at that point, what you care about is less the number of people, but more do you have the right subpopulation of interest covered? And this is also the reason why people want a larger sample. It's not because they want, stronger statistical guarantees. It's more that can they filter down to any population of their interest. However, you can also imagine in 10 years, if we truly believe that the compute is going to scale, that we'll have much more availability for compute, and our ambition for simulation is also going to scale accordingly, there's definitely a reason for us to create an entire data center worth of simulations.Joon [00:48:35]: Or in my hunch here is I do think in the next some number of years, we will start creating simulations that will cost as much as training a foundation model. But perhaps it's going to be so valuable to the society that it would be a no-brainer. Right now, even today, like, we are training bunch of new foundation model just so we can say we trained one and we spent tens of millions. But if we can create a simulation at the level of society that would solve climate change, I would run that today. I would raise the money right now just to run that.Multi-Agent Simulation and Social InfluenceSwyx [00:49:10]: Amazing. the follow-up question is, does it also compound if you let the simulations talk to each other?Swyx [00:49:18]: Or do they already do that today? They don't, right, as far as I understand?Joon [00:49:22]: It depends on what simulation you're trying to run.Joon [00:49:24]: In the multi-agent simulation setup, the agents do talk to each other.Swyx [00:49:28]: Right, which is exactly Smallville, right?Joon [00:49:29]: That's right.Swyx [00:49:30]: But a lot of times, for example, in commerce, you're just by yourself, so there's no point talking. which is way cheaper.Vibhu [00:49:37]: But they use all these levels, right? Like, you decide what you will buy based on what other people around you buy and talk about, right?Swyx [00:49:43]: It depends.Vibhu [00:49:44]: It depends.Swyx [00:49:45]: Again, I'm, I'm coming at this from a cost point of view. I'm like, “Oh my God.” LikeVibhu [00:49:48]: I thinkSwyx [00:49:49]: If there is, like, some combinatorial thing of, like, thousands of people talking to thousands of people, then that one million X's might cost.Vibhu [00:49:56]: I have a very different view as the cost point aside. Like, running these studies in reality is a lot more expensive, right? Running any study like this is you gotta have people do it, you gotta sign people up. It's very expensive and sometimes, like, not feasible to run the study.Vibhu [00:50:14]: But the outcome or the decisions you make are very expensive on them, right? So spend X million on something that, the overall process costs 100 million might as well, right? There's, there's a lot of value to be had there. It's a small cost, but I'm excited on the cost side.Joon [00:50:33]: To some extent, and when you deploy technology, you often want to deploy in a way where you can replace existing budget or you can make things more efficient, and that is the best way to deploy. However, the way you capture the long-term value of the technology is making the argument that, no, it's the upside, that by making this better decision using simulation, you have saved yourself or made yourself hundreds of millions or even billions of dollars, and that's a case to be made.Vibhu [00:51:06]: Random tangent question. So if you're doing a lot of inference, a lot of model multi-agent stuff, are you at the point where it makes sense to, train a model that' very sparse? You're expecting to do multi-million dollar runs. Are you thinking about this in model architecture standpoint or inference efficiency, or, you're still at the research phase of it works, we're not super there yet?Joon [00:51:34]: Efficiency, we do think quite a bit about. this is technology that is deployed now in some of the largest enterprise companies in the world, and we do process significant number of queries, that are trying to, simulate the populations in the world. So efficiency is a consistent thing. we don't want to over-optimize too early, so I wouldn't say, like, this is the higher bid Right now, but this is definitely something that we think pretty carefully about.Swyx [00:52:05]: Yeah. Are there other case studies? So we, you talked about CVS, talked about Gallup, Deloitte, Wealthfront.Efficiency, Enterprise Use, and Real-World Case StudiesJoon [00:52:12]: Wealthfront is an interesting one, because one of the things they were trying to do, they were one of the first customers that wanted to do product testing that goes beyond just asking people what they think about, let's say, behavior experiments and so forth. So there, really what we had to do was reason about multimodal input, so images, but also you can also imagine, like, these agents traversing through Figma mockups or websites. So some of the things that our agents can also do is it can be given a domain, like, or, like, a website URL and go use it for a while. It's these things. And Wealthfront was one of the first, customers, that was very excited about this possibility.Vibhu [00:52:53]: What have people been asking? Like, is there any demand that we have not covered? Like, UI testing, right?Vibhu [00:52:59]: I wanna try a new. I wanna ship a new feature, test the UI, simulate how people will do it. Any interesting things that you're seeing demand for?Product Testing, Websites, and Synthetic PanelsJoon [00:53:08]: Today, a lot of the demand does come from like, the places where people have historically used human panels, we can now replace with agents, and these synthetic populations. And this is not replacing human panel. in many ways, the simulation that Simile is building is grounded. So the way that I think about this is we are trying to represent humanity at scale. And in that way, the use cases are what we would expect, but it's the scale of deployment that surprises me.Joon [00:53:44]: Turns out there are so many decisions that people make every day in these organizations, groups, and we want to be able to say, “We listen to people. We have consulted our users.” But in reality, that is rarely the case because getting to people and asking them many questions, it's difficult. It's both costly, time-consuming, but most importantly, people are just not available. If I had to answer 1000 survey questions for this one particular, vendor, even if I wanted to do that, like, I would never do it. And that's very much the case. What simulation can do is ensure that the voices of people are always represented in rooms where the decisions for them is made, right? So all the stakeholders of this particular product launch, ideally they're consulted. That's what this technology really is trying to enable.Market Size, TAM, and Human Decision-MakingSwyx [00:54:39]: In my mind, that means it skews towards more consumer focus, right? Like, anything with a wide enough customer base where you do benefit from the diversity that you represent. What are some rough statistics, just for people who are not familiar with this market in general, what's the market size that. I'm sure you have some, like, rough numbers. market size is, like, a vague questionSwyx [00:55:01]: But, like, how much do people spend?Joon [00:55:03]: So market research is a $100 billion industry.Joon [00:55:06]: But the thing about simulation is not a tool for market research. Simulation is a tool for human decision-making. So the question around what is a TAM here is quite tricky, right? Because it's easy to say, “Well, market research TAM is roughly 100 million or 100 billion.” so is it a TAM? And not really, right? Because in many ways, you're trying to inform all human decision-making. You're trying to inform every decision that are made about humans for humans. What is a TAM for that? It's really unclear. And I'll be honest. Like, I have a scientific background, I have a research background, so I didn't come into the field calculating, oh, what is the TAM for human decision-making? But I just had to assume, well, if we can inform every decision that is made about human for human, that has to be big.Swyx [00:55:58]: Some- something valuable.Joon [00:55:59]: Exactly.Swyx [00:55:59]: To some extent, you are a unicorn founder now, and you have to care as a CEO. But, like, I do think, like, yeah, when you go into these boardrooms with people that you're quoting millions of dollars of contracts for, like, you have to say, “Well, here's what you spend on humans-”Swyx [00:56:15]: “. And here's what we save you, and it's 85% similar.”Joon [00:56:19]: And certainly, the value case, is something that we care deeply about. Like, what is the value that we provide to the users and the decision-makers? But this is also where, like, as a founder, I think valuation only tells one very superficial aspect of the story, and I try not to think too much about valuation, in general, because that's not what also motivates a team or certainly doesn't. I'm, I-- Again, the interesting thing about researchers is we are happy living in academia, getting paid next to. we get paid okay. we don't get paid that much, as a researcher here in academia, but it's the impact and it's the, it's the value that we can provide to the individuals and the society that really drives us. And in that way, ultimately what drives us is the impact. Does the simulation we provide have a real impact in people's decision-making in ways that progresses our society forward? If the answer is yes, then yes. that has to be great business, and we see that in numbers, and we do care deeply about that upside story, but that's the heart of it.Where Simulation Goes NextVibhu [00:57:27]: Do you have any timeline predictions? So we talked about scaling laws of simulations.Vibhu [00:57:33]: You brought up, okay, maybe one day we can simulate how to solve climate change.Vibhu [00:57:38]: Where are we now?Vibhu [00:57:40]: If that's not the end state, what is an end state, and what does progress look like?Joon [00:57:45]: So what I sometimes tell people is simulation as industry, it feels a lot like where GPT-3.5, GPT-4 was, for the AGI saga, which is we have now technology that is powerful enough to do real damage on the verticals that we are tackling. At the same time, there's a lot of progress that is yet to come. And that's, I think, where this is. So the way I see it, I do think there will continue to be breakthroughs both in data, in algorithms, and there will be much more aggressive scaling that will also happen over the next few years. But I think that's roughly where we are.Swyx [00:58:27]: I think that was about the ro

The feds charged a woman in an ISIS-inspired plot to attack the New York State Capitol. The FBI is involved in a probe tied to sexual assault allegations against a former Democratic congressman. We'll break down President Donald Trump's latest threat against Iran as a peace deal stalls. A severe storm system is developing on the East Coast. Plus, an investigation into Hayden Panettiere's death is rapidly intensifying. Learn more about your ad choices. Visit podcastchoices.com/adchoices

We covered the 250 class already but this week Matthes, Weege and Rarick look back at the 2002 SX opener from the 125SX angle. We get Buddy Antunez on to tell us about his comeback to SX/MX for Suzuki, why he got dropped at the end of the year, his memories of this night, why he chose this race, his early days at Suzuki and more. --- CHAPTERS --- 00:00 Show open 01:36 Why we're covering Indy's 125 race 08:56 125 field breakdown: the gray beards return 11:30 Sponsor read & Buddy Antunez joins the show 16:08 Suzuki tryout, dropping the ego, taking a pay cut 24:12 Unfinished business & the Indy main event breakdown 29:40 Replaced by Chad Reed & Suzuki loyalty 37:22 East Coast choice, Glen Helen mishap, Axo gear 40:54 Millville CRF test reunion tangent 44:29 Season consistency, Broome-Tioga letdown, Le Louis & the Suzuki firing rant 53:06 Contract confusion & rookie-year context 59:06 Weege's Racer X 'bring some thunder' story 1:01:53 Post-interview debrief & Havasu tangent 1:09:00 Lit Kit / Shit Kit Award 1:12:24 Jacob Marsack Award: John Dowd's forgotten 125 ride 1:16:35 What The Fuck Happened & sign-off

Send us Fan MailSend us Fan MailIn this electrifying episode of Living the Dream with Curveball, we welcome Tommy Dorfman, affectionately known as Tommy D, the founder of Juice Entertainment. Tommy's journey is nothing short of cinematic; starting as a teenage party promoter, he grew to become one of the most influential figures in the East Coast club scene. At just 16, he was already hosting underground house parties, eventually leading to the creation of Club Bliss, renowned for having the best sound system in the world.Tommy shares his incredible story of resilience, including a life-altering head injury that nearly derailed his dreams. He opens up about his ongoing legal battle with Live Nation, a fight that has spanned over a decade and reflects the challenges faced by independent promoters in the music industry. Listeners will gain insight into:- The early days of Tommy's party promotion and the lessons learned from living independently- The significance of creating an unforgettable club experience through exceptional sound and lighting- The emotional and physical toll of his head injury, and how it shaped his determination to succeed- The intricacies of his legal battle against Live Nation and the impact on the music industry- His vision for a new organization dedicated to advocating for fans and independent promotersJoin us for a compelling discussion that inspires listeners to fight for their dreams, no matter the obstacles. For more information on Tommy D and his work, visit tommydjuiceentertainment.comPodMatchPodMatch Automatically Matches Ideal Podcast Guests and Hosts For InterviewsSupport the show

Coach Dax Charles, Head Wrestling Coach at Colorado State University Pueblo, joins Airey Bros Radio for Episode 474!Entering his 18th season leading CSU Pueblo Wrestling, Coach Charles has spent decades building, rebuilding, and carrying forward the tradition of ThunderWolves wrestling. A former NCAA Division II National Champion, three-time All-American and NCAA Division II Wrestling Hall of Famer, Charles has coached national champions, national finalists, All-Americans, national qualifiers and RMAC champions during his career.In this episode, Coach Charles breaks down what he looks for when recruiting NCAA Division II wrestlers, why relationships and character matter more than recruiting services, and the four standards every wrestler in his program is expected to live by: go to class, come to practice, stay out of trouble and win.We also dive into Coach Charles' journey from Louisiana football player to national champion wrestler, training around elite wrestlers and judo athletes, the benefits of being a multi-sport athlete, and how his coaching philosophy has evolved from the old-school grind toward smarter training designed to peak athletes for the postseason.Coach Charles also tells the story of returning to CSU Pueblo to rebuild the wrestling program, carrying on the legacy of legendary coach Doug Moses, developing young men beyond wrestling, and why he believes Division II athletics can give student-athletes something they can carry for the rest of their lives.Plus, we look ahead to the 2026–27 CSU Pueblo Wrestling season, including returning national qualifiers, young talent to watch and why Coach Charles believes the ThunderWolves are positioned to make a jump in the RMAC.Whether you're a high school wrestler, college recruit, parent, coach or NCAA wrestling fan, this conversation is packed with insight on recruiting, development, discipline, leadership and building a championship culture.Topics include:NCAA Division II Wrestling • CSU Pueblo Wrestling • RMAC Wrestling • College Wrestling Recruiting • Wrestling Scholarships • Multi-Sport Athletes • Coaching Philosophy • Championship Culture • Doug Moses • Colorado Wrestling • Student-Athlete Development • NCAA Wrestling

On this episode of Whiskey Riff Raff, we head to Wildwood, New Jersey for one of the biggest country music festivals on the East Coast, Barefoot Country Music Fest.Throughout the weekend, we sat down with an incredible lineup of artists, including Chase Rice, The Wilder Blue, Channing Wilson, Tracy Lawrence, The Fray, Slater Nalley, Ty Myers, Emily Ann Roberts, Chris Lane, Tequila Randy, and Bob Durkin. We talked about new music, life on the road, festival season, songwriting, and everything in between.We also took in everything that makes Wildwood such a unique destination, from the boardwalk and beach to the food, nightlife, and unmistakable Jersey Shore atmosphere that surrounds Barefoot Country Music Fest.Whether you're a longtime country music fan or already dreaming about your next trip to the Jersey Shore, this episode is packed with great conversations, behind-the-scenes moments, and a look at everything that made this year's Barefoot Country Music Fest so memorable.whiskeyriff.comshop.whiskeyriff.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Chris x Chris have BEEF with DOM & MIKE HARRINGTON, then break down the ultimate East Coast debate: why Hilton Head, South Carolina might actually beat a European vacation to Italy. They also dive into major sports business headlines as rumors swirl around high-profile acquisitions involving the Los Angeles Lakers, Disney's Bob Iger, and major investment groups.On the health and wellness front, the crew dissects neuroscientist Andrew Huberman's latest extreme biohacking routines, sharing their own hilarious holiday stories and discussing why self-improvement culture might be getting completely out of hand. Plus, Chris & Chris open up the official writing room to recast and reboot Skeletons in the Basement for Season 2, analyze the massive podcast circuit appearances of high-profile political figures, and try calling Mike Harrington live on-air after finding strange clutter around the studio.Is Hilton Head actually better than Italy? Let us know your thoughts in the comments below! Don't forget to like, subscribe, and hit the notification bell for more episodes from the GaS Digital Network!Air Date 8/13/26DON'T FORGET TO WATCH FAGA'S NEW SPECIAL "BURN AFTER SAYING" ON THE HSR YOUTUBE PAGE!⁠⁠https://www.youtube.com/watch?v=TxIHJU2LotU⁠⁠Support Our Sponsors!YoKratom: https://yokratom.com/Body Brain Coffee: https://bodybraincoffee.com/ - Grab A Bag of Body Brain Coffee with Promo Code HSR20 to get 20% off!3rd Mic Harrington: https://3rdmicharrington.com/High Society Radio is 2 native New Yorkers who started from the bottom and didn't raise up much. That's not the point, if you enjoy a sideways view on technology, current events, or just an in depth analysis of action movies from 2006 this is the show for you.Chris Stanley is the on air producer for Bennington on Sirius XM.Chris Faga is a lifelong street urchin, a former head chef, county comitteman and supposed comedian. Twitter: https://twitter.com/ChrisFromBklynInstagram: https://www.instagram.com/chrisfrombklynEngineer: DomExecutive Producer: JorgeInstagram: https://www.instagram.com/themharrington/Twitter: https://twitter.com/TheMHarringtonSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of The Truth In This Art, the guest is LuvJonez.About LuvJonez: Portland, Oregon–based instrumental hip hop producer and beat maker whose work weaves a nostalgic, down-tempo blend of musical influences drawn from his cultural roots, extensive travels, and artistic experiences. Beyond music production, he founded and runs A Beat Happening, a free, monthly, all-ages, inclusive BIPOC and LGBTQIA2S+-centered music producer and DJ showcase built to connect artists across the city.In our conversation, LuvJonez talks about how time on the East Coast, in the Pacific Northwest, and around Caribbean culture shaped a sound that doesn't sit neatly in one lane. He remembers going to beatmaker showcases in DC and New York before moving to Portland, watching producers just share their music with no ego and no competition — something that stuck with him long before he had any plans of his own.He talks about his approach to making beats as less about chasing a style and more about following a mood, using the process to decompress and work through his day. It's a "no style is my style" kind of thing, where the genre-blending isn't really a decision so much as a byproduct of everywhere he's lived and everything he's taken in along the way.He also gets into how A Beat Happening came together, noticing that rappers in Portland had plenty of platforms to perform, but producers and beat makers didn't really have anything built for them. The idea started small: approach a local record shop, no money involved, no tickets, just a chance for beat makers to get on stage.LuvJonez reflects on the show now reaching its nine-year anniversary, having hosted over eighty events and featured more than four hundred local Portland artists along the way. For the anniversary, he changed things up — rather than booking individual artists like usual, he invited other music collectives around the city to share one lineup. He talks about going into it unsure whether everyone would say yes, and how surprised he was when every single collective agreed, turning the night into a rare moment where the city's music community showed up for each other instead of competing.Be sure to follow LuvJonez on Instagram, Bandcamp, and YouTube to keep up with his music, and follow A Beat Happening on Instagram @abeathappening or at abeathappening.org for show archives, photos, and videos from over four hundred featured artists.Image courtesy of Subject.  The Truth In This Art is supported by William G. Baker, Jr. Memorial Fund, the Maryland State Arts Council's Creativity Grant and Mayor's Individual Artist Award - Creative Baltimore Fund (Baltimore). Host: Rob LeeMusic: Original music by Daniel Alexis Music with additional music from Chipzard and TeTresSeis.Production:Produced by Rob Lee & Daniel AlexisEdited by Daniel AlexisShow Notes courtesy of Rob Lee and TransistorPhotos:Rob Lee photos by Vicente Martin for The Truth In This Art and Contrarian Aquarian Media.Guest photos courtesy of the guest, unless otherwise noted.Support the podcastThe Truth In This Art Podcast Fractured Atlas (Fundraising): https://www.fracturedatlas.orgThe Truth In This Art Podcast Bluesky: https://bsky.app/profile/thetruthinthisart.bsky.socialThe Truth In This Art Podcast Instagram: https://www.instagram.com/truthinthisart/?hl=enThe Truth In This Art Podcast Website: https://www.thetruthinthisart.com/The Truth In This Art Podcast Shop: Merch from Redbubble ★ Support this podcast ★

In Episode 52 of The League, Benoy Thanjan and David Magid discuss several major developments shaping the future of power markets. The conversation begins with a significant New York court ruling that classified battery energy storage as a public utility, potentially giving developers a stronger path through local zoning and permitting challenges. They discuss why this legal precedent could accelerate the development of standalone battery projects across the state over the next several years. They also examine New Jersey's plans to procure 1.1 GW of nuclear power while seeking to protect ratepayers from construction and cost-overrun risk. Nuclear offers the promise of reliable, carbon-free generation, but long development timelines, financing challenges, and execution risk remain major questions. The episode then turns to the rapidly growing electricity demand created by AI and data centers. Benoy shares insights from a recent Young Professionals in Energy panel focused on how the industry can deliver reliable 24/7 power quickly enough to support data center growth. The conclusion: there is no single solution. Solar, battery storage, natural gas, fuel cells, microgrids, nuclear, transmission, and demand management will all likely play a role. The real competitive advantage may belong to companies that can navigate permitting, interconnection, financing, and infrastructure deployment faster than their competitors.   Host Bio: Benoy Thanjan Benoy Thanjan is the Founder and CEO of Rene Down down down down downu Energy, solar developer and consulting firm, and a strategic advisor to multiple cleantech startups. Over his career, Benoy has developed over 100 MWs of solar projects across the U.S., helped launch the first residential solar tax equity funds at Tesla, and brokered $45 million in Renewable Energy Credits (“REC”) transactions. Prior to founding Reneu Energy, Benoy was the Environmental Commodities Trader in Tesla's Project Finance Group, where he managed one of the largest environmental commodities portfolios. He originated REC trades and co-developed a monetization and hedging strategy with senior leadership to enter the East Coast market.  As Vice President at Vanguard Energy Partners, Benoy crafted project finance solutions for commercial-scale solar portfolios. His role at Ridgewood Renewable Power, a private equity fund with 125 MWs of U.S. renewable assets, involved evaluating investment opportunities and maximizing returns. He also played a key role in the sale of the firm's renewable portfolio. Earlier in his career, Benoy worked in Energy Structured Finance at Deloitte & Touche and Financial Advisory Services at Ernst & Young, following an internship on the trading floor at D.E. Shaw & Co., a multi billion dollar hedge fund. Benoy holds an MBA in Finance from Rutgers University and a BS in Finance and Economics from NYU Stern, where he was an Alumni Scholar. Connect with Benoy on LinkedIn: https://www.linkedin.com/in/benoythanjan/ Learn more:  https://reneuenergy.com https://www.solarmaverickpodcast.com   Host Bio: David Magid David Magid is a seasoned renewable energy executive with deep expertise in solar development, financing, and operations. He has worked across the clean energy value chain, leading teams that deliver distributed generation and community solar projects. David is widely recognized for his strategic insights on interconnection, market economics, and policy trends shaping the U.S. solar industry. Connect with David on LinkedIn: https://www.linkedin.com/in/davidmagid/ If you have any questions or comments, you can email us at info@reneuenergy.com.   Please provide 5 star reviews      If you enjoyed this episode, please rate, review and share the Solar Maverick Podcast so more people can learn how to accelerate the clean energy transition.    Reneu Energy Reneu Energy provides expert consulting across solar and storage project development, financing, energy strategy, and environmental commodities. Our team helps clients originate, structure, and execute opportunities in community solar, C&I, utility-scale, and renewable energy credit markets. Email us at info@reneuenergy.com to learn more.    

What happens when four professionals in the design industry meet by chance, become fast friends, and decide to use their collective talents to give back? Meet the Design Besties: Nikki Watson, Lori Johnson, Robin DelaCruz, and Whitney Atkinson. What started with a chance meeting at the Vacation Rental Design Summit quickly turned into a daily group text, a genuine friendship, and eventually a nonprofit with a big mission: transforming teachers' lounges into beautiful, restorative spaces that give educators a place to recharge. In this episode, Michelle sits down with the four creatives behind the Design Besties to talk about how their friendship came together, what makes their collaboration work so well, and why they believe there is always room at the table. They share the story behind their first teachers' lounge makeover, the emotional response from the teachers, and how that experience turned a passion project into a national mission. The Design Besties are now working toward bringing their work to all 50 states. In this episode, you'll hear about: How four professionals from different areas of the design industry became the Design Besties The unexpected project that inspired them to create their nonprofit Why teachers' lounges became the focus of their service work How each Bestie brings a different strength to the team What makes their collaboration work without ego or competition The importance of creating welcoming spaces and making sure there's always room at the table How they're working to scale the Design Besties nationally The power of using your professional skills to serve others Why adult friendship and genuine community can be such a gift How designers and brands can get involved through donations, sponsorships, volunteering, and spreading the word Meet the Design Besties (full bios below)   Rhobin DelaCruz Interior designer. Creative instigator. Vibe curator. Rhobin has designed for names like GQ, TED, and MTV - but his real flex is helping clients create bold, joy-filled spaces that feel like them (just with better lighting and cuter pillows). Born in SoCal, thriving in NYC, Rhobin mixes West Coast chill with East Coast edge, all wrapped in global inspiration and a love for real estate, storytelling, and saying what everyone else is thinking. Business name-- Rhobin DelaCruz Designs Email rhobin@rhobindelacruz.comInsta: @rhobindelacruzdesigns Website: www.rhobindelacruz.com   Lori Johnson Lori Johnson is a Dallas-based fine artist whose abstract work blends soft layers of color and texture to explore beauty, transformation, and connection. Featured on Bargain Mansions (HGTV, Magnolia Network, A&E) and sold nationally at HomeGoods and HomeSense, her art invites reflection and emotional connection. Represented at Dallas Market Center through McStudios and Ethan & Associates, Lori collaborates with designers, retailers, and lifestyle brands. She recently partnered with Denim Manor and Wexel Art to launch a line of textile fabrics for interiors, fashion, and home décor. Business name- Lori Johnson Artist, Collaborator and Creative Email Info@lorijohnsonart.com Insta: @lorijohnsonfineart Website: www.lorijohnsonfineart.com   Nikki Watson Nikki Watson is the founder of The Design Quad, Dallas's leading home staging and design firm. What began with $10 borrowed from her mother has grown into the nation's largest-volume staging company, with more than 300 homes staged at once across Dallas–Fort Worth. Her work has been featured on HGTV, A&E, Max, and international outlets. Known for her motto "Create, Inspire, and Serve," Nikki has built service into her brand's DNA, supporting community charities while redefining home staging, design, flooring, and remodeling. Business name-- The Design Quad Email nikki@nikkiwatson.netInsta: @iamnikkiwatson Website: www.nikkiwatson.net   Whitney Atkinson Whitney Atkinson, founder and inventor of WUGS Weighted Rugs and WILLOWS Weighted Outdoor Pillows, is a Gulf Coast native blending function with style. With a background in interior and commercial design, she created the first weighted rug to solve slipping, curling, and outdoor durability. Her weighted pillows also withstand harsh weather while staying beautifully in place. Whitney's innovative products reimagine everyday living by offering solutions that are both practical and design-forward. Business name- - Founder & Inventor of WUGS & WILLOWS Email whit@wugsweightedrugs.com Insta: @whitney_atkinson Website: www.wugsweightedrugs.com   Want to Get Involved? The Design Besties are looking for schools, brands, designers, donors, and supporters who want to help them bring beautiful, wellness-focused teachers' lounges to communities across the country. Visit their website to learn more, apply for a school makeover, explore sponsorship opportunities, donate, and follow their work. Email: besties@thedesignbesties.org Website: thedesignbesties.orgFacebook: The Design Besties Instagram: @the_designbesties Check out our latest campaign: Grizzlies Prep Teachers' Lounge Movement   And remember: there's always room at the table.  

Football season has arrived, and the crew wastes no time debating whose game day schedule reigns supreme (East Coast breakfast kickoffs versus West Coast five-beers-deep mornings) before diving into a coffee-warmer appreciation segment that somehow doubles as a good-brew sponsor read. The meat of this episode is ESPN's three-year future power rankings, and the guys tear into them team by team. Expect a genuinely heated defense of Jordan Love as a tier-one quarterback, shots at the "emerging tier two" label, Herbert-over-Tua takes, and Alpha absorbing blow after blow as the entire NFC West gets ranked around him. Along the way, CannCon addresses the online mystery of whether he served in the Army or the Marines, and the trio gets sincere about aging, back injuries, and gym redemption arcs, including Alpha's raw story of restarting at rock bottom. It closes with a "real conversation" between men and women, illustrated with cartoons nobody can quite explain. Sports, self-improvement, and locker room honesty.

We open today with Linda Kearns stepping in for Dawn Stensland as Dawn enjoys a well-deserved break with her family. We dive right into historical milestones, reflecting on the 49th anniversary of Elvis Presley's funeral and recounting the public viewing at Graceland, the massive procession through Memphis, and the lasting cultural legacy of the King of Rock 'n' Roll. We also react to listener calls regarding Dr. Anthony Fauci, examining the legal complexities surrounding potential presidential pardons and debating whether pursuing prosecution makes sense as the midterms approach. We bring on independent journalists Frank Scales and Ian McGinnis from Surge Philly to break down what is happening on the ground at political demonstrations across the East Coast. The crew reacts to their firsthand accounts covering radical left-wing protests in Washington, D.C., where activists gathered to demonstrate against the one-year National Guard deployment. We discuss how crime rates and homicides dropped significantly following the deployment, while highlighting how extreme anti-American rhetoric and fringe political movements continue to surface at these demonstrations. We press Frank and Ian on the underlying causes of youth radicalization, exploring how economic pressure, a lack of community, and broken family structures drive young people toward socialist ideologies. To end the conversation on a lighter note, we put our guests through a fifth-grade trivia quiz covering basic American history and science, proving just how important real civic education is today. We wrap up the show looking ahead to the Phillies' playoff chances before handing off the microphone to the Dean of Talk Radio, Dom Giordano.

The Continental Football League, an ambitious entity that existed between 1965 and 1969, serves as the focal point of our discussion today. We delve into the history and significance of this league, often overshadowed by the more prominent rivalries of the AFL and NFL during the 1960s. Joining us is historian Timothy B. Brown from FootballArchaeology.com, who provides invaluable insights into the league's formation, its attempt to merge with other football organizations, and the challenges it faced in securing a sustainable fan base. Throughout the episode, we reflect on the impact of the Continental Football League within the broader context of American football history, examining its role as a precursor to future leagues and its contribution to the sport. We invite our listeners to engage with us and share their experiences related to the Continental Football League, fostering a deeper appreciation for the complexities of football's evolution.Don't forget to check out and subscribe to the Pigskin Dispatch YouTube channel for additional content and the regular Football History Minute Shorts.Miss our football by the day of the year podcasts, well, don't, because they can still be found at the Pigskin Dispatch website. Do you want more football history? Test your Gridiron Knowledge, we feed you Daily with our new FREE activity, The Pigskin Trivia Drive.Grab a copy of our latest book, "Marooned," on the 1925 Pottsville Maroons NFL franchise saga.*OR* Grab a copy of our book on Western Pennsylvania football history, "World's Greatest Gridiron Team" on the 1903 Franklin All-StarsDrop us a line at PigskinDispatch@gmail .com and check out and subscribe to the Pigskin Dispatch YouTube channel.Contact us directly at PigskinDispatch@Gmail.comMiss our football by the day of the year podcasts, well, don't because they can still be found at the Pigskin Dispatch website. A comprehensive examination of the Continental Football League, which thrived from 1965 to 1969, reveals an intriguing aspect of American football history that often remains overshadowed by the more prominent rivalries of the NFL and AFL during the same era. The Continental Football League was born out of the remnants of previous leagues such as the United Football League and the Atlantic Football League, ultimately consolidating teams from these defunct entities into a new framework. As the discussion unfolds, we explore the league's structure, starting with eight initial teams on the East Coast and how it expanded through strategic mergers with other minor leagues, culminating in a total of 22 teams by its dissolution in 1969. This summary delves into the rich narrative of the league's aspirations, challenges, and its ultimate fate, characterized by a lack of substantial television contracts and dwindling fan attendance, which ultimately led to its decline. The dialogue further illuminates the significance of the Continental Football League within the broader context of American football's developmental leagues. While it may not have garnered the same level of recognition as the NFL or AFL, the Continental Football League served as a vital platform for aspiring players and coaches. Notably, figures like Bill Walsh and Doak Walker graced its sidelines, highlighting the league's role in nurturing talent that would later permeate the national scene. The poignant comparison between the Continental Football League and contemporary minor leagues, such as the United Football League and arena football, underscores the cyclical nature of football's lower-tier competitions and their inherent struggles for visibility and viability. Moreover, the conversation draws parallels between the fan engagement of the 1960s and today's sports culture, suggesting a shift in how audiences interact with minor league football. The discussion raises thoughtful insights into the evolution of local football fandom, noting that audiences in the past were more inclined to attend games, whereas today's consumers often prefer the convenience of televised events. This shift signals a broader transformation in how football is consumed and appreciated, providing a profound commentary on the cultural significance of local teams and the communal experiences they foster.

RUNDOWN Mitch and Hotshot Scott open Episode 395 with a Costco sample showdown before hitting the Seahawks' preseason opener, Drew Lock, Devon Witherspoon's extension and Stump the Band birthdays. Seahawks pregame, Mitch and Brady Henderson break down Seattle's preseason opener, including Tyrice Knight's big night, the cornerback battle and a crowded backfield featuring Jadarian Price and George Holani. They also discuss Jalen Milroe, Devon Witherspoon's extension and Hard Knocks. Mariners No-Table; Mitch, Brady, and Joe return cautiously to the table after the Mariners take two of three in Houston. They discuss Dan Wilson, Colt Emerson's injury, Brendan Donovan's emergence, Kade Anderson's timeline and a crucial upcoming stretch. Mitch and Puck recap an epic father-son baseball trip built around Cooperstown, with ballpark stops throughout the East Coast. Puck raves about Camden Yards, the food and the memories before revealing their next dream trips: Texas football and the Masters.   GUESTS   Brady Henderson | ESPN.com Seahawks Insider Brady Farkas | Host, Refuse to Lose podcast Joe Doyle | MLB analyst, Over-Slot Jason Puckett | The Daily Puck Drop   TABLE OF CONTENTS   0:00 | Costco Chaos, Seahawks Preseason and Stump the Band 23:45 | Brady Henderson: Preseason Takeaways, Witherspoon's Payday and Seattle's Roster Battles 48:06 | Mariners No-Table: Mariners Fight Back, Colt Emerson's Injury and the Kade Anderson Question 1:07:30 | Jason Puckett: Cooperstown, Ballpark Hopping and the Ultimate Father-Son Baseball Trip 1:30:35 | Other Stuff: Kade Anderson continues dominating Double-A, Sound View Little League reaches the Little League World Series, Kinley Rasmus and "Fear the Bow," Joshua Báez homers in his first three MLB at-bats, Freddie Freeman tumbles into the Dodgers dugout, Lakers sold for $12.5 billion, Russell Westbrook retires, Scottie Scheffler closes in on Tiger Woods' PGA Tour earnings record, Alex Rodriguez's distracting meal-prep promotion, Bill Gates' daughter Phoebe accused of cookie stuffing, man with micropenis raises money for enhancement procedure. HEADLINES Cristiano Ronaldo hints at retirement, lost penis pump shuts down traffic in Washington, D.C., 19-year-old arrested after bathroom sex incident, U.S. hires more than 2,000 video gamers as air traffic controllers. RIPS Tommy John (83), Ben Jones (84).

China, the world's second-largest economy, sent several cargo ships through an Arctic route over the weekend, along waters hugging Russia's northern coast. The two countries are trying out a path that could become a new shipping lane from China's East Coast to the largest port in the U.K. — one that could avoid U.S.-controlled choke points for trade. But first, big retailers will report quarterly earnings this week. What could they tell us about the U.S. economy?Every story has an economic angle. Want some in your inbox? Subscribe to our daily or weekly newsletter.Marketplace Morning Report is more than a radio show. Check out our original reporting and financial literacy content at marketplace.org — and consider making an investment in our future.Stories featured in this episode:Could an Arctic shipping route transform global trade?

China, the world's second-largest economy, sent several cargo ships through an Arctic route over the weekend, along waters hugging Russia's northern coast. The two countries are trying out a path that could become a new shipping lane from China's East Coast to the largest port in the U.K. — one that could avoid U.S.-controlled choke points for trade. But first, big retailers will report quarterly earnings this week. What could they tell us about the U.S. economy?Every story has an economic angle. Want some in your inbox? Subscribe to our daily or weekly newsletter.Marketplace Morning Report is more than a radio show. Check out our original reporting and financial literacy content at marketplace.org — and consider making an investment in our future.Stories featured in this episode:Could an Arctic shipping route transform global trade?

At just 21 years old, Kaylee Frederick has already established herself as one of the most exciting young ultrarunners on the East Coast. She ran her first 100 miler at 16 years old, and when she was 18 became the youngest ever finisher of The Badwater 135.  In 2026, she won the Eastern States 100 outright, setting a new women's course record in brutally hot conditions. She also completed the Pennsylvania Triple Crown, finishing as the overall fastest person and Queen of the Mountain. But Kaylee's story goes well beyond race results. In this episode, Kaylee talks about discovering running as a kid, finding ultrarunning at 14, losing her father at age six, and how those experiences shaped the person and runner she has become. She opens up about depression, anxiety, therapy, faith, and learning to deal with the negative voices in her head. We also get deep into her Eastern States race including the moment she realized she was leading the entire field and the wild final miles when she was convinced someone was right behind her. Most importantly, Kaylee talks about a simple goal that has become central to her life: She doesn't want to just survive. She wants to actually live. Eastern States 100 Results Badwater 135   Kaylee's UltraSignup Results Follow Kaylee on Instagram Episode Photo Credit Phil Cuppernell Get your official Cultra Clothes and other Cultra TRP PodSwag at our store! Outro music by Nick Byram Become a Cultra Crew Patreon Supporter  basic licker.  If you lick us, we will most likely lick you right back Cultra Facebook Fan Page Go here to talk shit and complain and give us advice that we wont follow Cultra Trail Running Instagram Don't watch this with your kids Buy Fred's Book Running Home More Information on the #CUT112   

September 14th, 2009. Edmonton. The last time The Tragically Hip ever played 'Emperor Penguin', and not one person in that building knew it.Seventy-two performances. That's the whole run. The first on July 2nd, 1998, a couple of weeks before "Phantom Power" was even in stores, and the last one in Edmonton on the We Are The Same tour before the song went in a drawer for good. Justin pulled that off setlist.fm live on the stream, Hipbase backs it up, and it turned into the thing nobody saw coming, because one of the two guys at the table tonight is Shawn from Edmonton. He was at that show. He found out on mic.We're on a Thursday this week, which is the end of the Thursday experiment. Back to Wednesdays next week. It was nice while we had it.'Emperor Penguin' landed at number 32 on the TTHTop40 Countdown and neither panelist is at peace with it. One of them would have guessed somewhere around 65. The other would have shoved it higher. Nobody splits the difference. So there's that.Then we spin a live version from Massey Hall, 2009, and Gord introduces the song with a line about why they don't play it often that tells you everything about how the band felt about it. There's a ninety-second outro hanging off the back of it that belongs to Robbie and nobody else. And somewhere early on Gord comes in on the wrong verse and does something with the save that Justin had been chewing on all day before we even hit record.WHAT ELSE IS IN HERE• Two readings of the lyric that come at it from opposite ends and land in the same spot, and one of them hinges on which parent actually sits on the egg.• "I like the tone of your trumpet. Come on, let's spill some paint." The most abstract stretch on the whole record, a notebook theory, and a guess involving Josh Finlayson that may not survive contact with HipMuseum.• The late night call in radio show sitting underneath these lyrics, and the drive home through the Bible Belt that Justin still can't shake loose from this song.• Shawn plays bass, so he hears this as a Paul and Robbie record, with Gord Sinclair and Johnny Fay rock solid and deliberately out of the way. Then Robbie takes it home.• Steve Berlin, the first of his two with the band, and what having a producer in the room at the Bathhouse did to the atmosphere of this thing.• "Phantom Power" as the line in the sand. The last record of the first era, and what happened to a good chunk of the congregation immediately after it.• Shawn spent real time with the guys in the early days. Sound checks with six people in the room. Gord showing him the notebook. And a lyric on one of the most loved songs in the catalogue that he can tell you exactly where they were sitting when it came up. We get about ninety seconds of that story. It deserves its own episode, and we are going to get it.Next week is 'Tiger The Lion', which is track one on the record that follows the record that ends with this song. Brand new panel, brand new song, and yes, the shuffle is actually random. I promise.THE PANEL• Justin from Bridport, Vermont. He announces the sprint cars of New England, so if you're anywhere in the northeast, go find a dirt track. He's also a Discovering Downie panelist.• Shawn from Edmonton. The Port Bickerton Lighthouse Arts Festival goes August 24th in Port Bickerton, Nova Scotia, put on by the Port Bickerton Lighthouse Association. East Coast and Maritime acts, artists, and the biggest one they've done yet.THREE CHAIRS IN THE BATHHOUSEOn August 20th at 1:00 pm I'm filming the final episode of Yer Hipstories: Reflections From The Final Tour inside the Bathhouse in Bath, Ontario. Ten years to the day since Kingston. Three chairs are open to fans. Email jd@tthpods.com by August 15th with your name, email, phone number, whether you can be there in person, and a one minute video on why it should be you. Travel is on you. That's the only catch.THE GATHERING - KINGSTON, AUGUST 20 TO 23Alongside Forever Hip. A mixer at the Merchant Pub, Choir! Choir! Choir! in Springer Market Square, a listening party for "The Tragically Hip Live, July 22 - August 20, 2016", a screening of Long Time Running, the CBC re-airing on the 22nd, and a farewell brunch at Morrison's. Email jd@tthpods.com to get on the list.GEDFEST TORONTO - SATURDAY, OCTOBER 17The Horseshoe Tavern, with Grace, 2. Every dollar goes to Campfire Circle and the Murphy Family Fund in Precision Medicine in Pancreatic Cancer. Tickets through facebook.com/GEDfestYYZ.FIND USHome: home.tthpods.comEmail: jd@tthpods.comFacebook community: community.tthpods.comInstagram: @tthpodsYouTube: youtube.com/@tthpodsYer Letter: subscribe.tthpods.comTip jar: buymeacoffee.com/tthtop40MORE THE TRAGICALLY HIP ON SHUFFLE LIVE STREAM'Bobcaygeon': https://redcircle.com/shows/a01e8de3-1a04-4a44-ab9c-8fc6e3cb7474/ep/dca7d1f5-6dea-4df8-b8d1-33008aa46cbd'Gus: The Polar Bear From Central Park': https://redcircle.com/shows/a01e8de3-1a04-4a44-ab9c-8fc6e3cb7474/ep/68d2991b-9074-43ef-bd71-aa832c59a787Live performance counts and dates come from Hipbase and setlist.fm, as cited on the stream.#TheTragicallyHip #EmperorPenguin #PhantomPower #TTHPods #HipHeads #OnShuffleSupport this podcast at — https://redcircle.com/tthtop40/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

John checks in fresh off a trip to Maine, where the lobster is great and the golf is classic New England. Jeff counters with his time teaching at the ultra‑exclusive Yellowstone Club in Montana — mountain golf, thin air, and views that make you forget you just chunked a wedge. Donald Ross & The Art of Greens That Make You Cry The guys dive into Donald Ross's legendary greens — the ones that look innocent until your ball starts rolling like it's late for a meeting. They compare Ross's style with Pete Dye's “I dare you” intimidation and McKenzie's artistic, flowing layouts. Jeff previews his upcoming West Coast McKenzie tour, which John immediately tries to invite himself on. Renovations, Reconstructions & Golden Age Reboots Jeff talks Spyglass renovations and a reconstructed McKenzie course in Wisconsin. John wonders what it would be like to play a 1920s design built with modern machinery — old strategy meets new bulldozers. The Lido, Sand Valley & Modern Classics The guys geek out over the original Lido — a C.B. MacDonald/McKenzie/Raynor masterpiece — and its modern recreation at Sand Valley. They hit on courses that became famous fast: Bandon Dunes Whistling Straits Payne's Valley (aka “Tiger's scenic roller coaster”) The Tillinghast Tour Idea Jeff rattles off Tillinghast courses like he's reading from a phone book. John suggests a “Tillinghast Tour,” the golf‑nerd equivalent of following the Grateful Dead around the country. They compare it to Dye, Palmer, and Norman tours and swap favorite designer quotes — including Rocco Mediate's classic Dye jab. Design Philosophy & How Not to Get Tricked Jeff breaks down fairway bunkering, hidden landing zones, and greens that wiggle like a toddler on sugar. They talk about how caddies can save your round on visually deceptive layouts — assuming you actually listen to them. Mountain Golf & Wildlife Cameos Jeff shares stories from Pine Canyon in Flagstaff, where the scenery is gorgeous and the wildlife occasionally decides it owns the fairway. The Big Idea: East‑to‑West Golf Trip John pitches an October RV golf adventure from the East Coast to the West Coast. Jeff pretends to think about it. John invites Chris Mascaro to join a future show, because every good golf trip needs at least one guy who brings snacks. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In today's episode of The Quiz, we're testing your knowledge on everything from historic baseball relocations to the roots of famous Major League franchises. Can you answer these? Dodger History: Long before settling in Southern California, this iconic Major League Baseball franchise captured hearts on the East Coast. Do you know which city they originally called home? Historic Franchises: The Atlanta Braves are the oldest continuously operating franchise in Major League Baseball, having started in New England back in 1871. Do you know their founding city? Midwest Baseball: Before moving to the Twin Cities in 1961 and rebranding, this franchise played for decades in another major American city under a different name. What was their original location? Play. Share. Listen with Former Major League Baseball Player Jeremy Affeldt. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Mark visits Glasgow's Queen's Park Glasshouse which was threatened with closure earlier this summer. He speaks to some of those involved in the campaign to secure its future which seems to have been successful.Rachel tries her hand at Nordic Walking which may look gentle but actually involves a full body workout! She went along to a group in Blair Atholl run by Eilidh Paterson who explained what's involved and showed Rachel the best techniques.Over the next few weeks on Out of Doors, we'll be chatting to the finalists of the BBC Make a Difference Awards Scotland in the Environmental Category. The awards recognise people who give their time voluntarily to help others and make a difference in their communities. This week Mark met John Smillie who was nominated for his effort in clearing litter, supporting wildlife habitats and raising money for charity through recycling.Earlier this week Mark donned his eye protection to gaze skywards and try and get a good view of the solar eclipse. We find out if the clouds parted for him and hear a bit about the science behind an eclipse.The Scott Monument is one of Edinburgh's most recognisable landmarks and this year it turns 180 years old. To mark the occasion, Edinburgh City Council are issuing 12 free tickets every day between 12th and 17th August for anyone wishing to climb the famous monument. Mark went along to scale the 221 steps to the top and hear about the monument's history.The Fowlsheugh Nature Reserve south of Stonehaven is the largest mainland seabird colony on the East Coast of Scotland. Most people visit the reserve by walking along the cliff tops, but recently for a Scotland Outdoors podcast, Helen Needham was lucky enough to experience it from the water on a skiff belonging to the Catterline Coastal Rowing Club. We hear part of her row to take a look at the kittiwakes.Stonehaven Open Air Pool is the UK's only art deco Olympic sized sea water lido. It was opened in 1934 and is run by Aberdeenshire Council along with charity group, Friends of the Pool Stonehaven. Rachel went along to very popular ‘midnight swim' and met Steve Harris from the Friends group to hear about what makes it such a popular attraction at 102 years old.And Mark meets naturalist, conservationist and author Polly Pullar at her farm in Perthshire to chat about her upcoming book, In the Company of Sheep. Polly tells Mark what it is about sheep that has fascinated her since she was a child.

This week on Cultra, we're digging into a brutal Eastern States 100, reflecting on our marathon-length conversation with Camille Herron, and looking ahead to one of the most exciting young runners on the East Coast. Eastern States delivered the kind of race that separates the merely enthusiastic from the completely unreasonable. With hot conditions pushing the DNF rate to roughly 54.5%, only 55 runners made it to the finish. And leading the women and first finisher overall was Kaylee Frederick, who put together an extraordinary 23:09 finish to set a new women's course record and become the first woman to break 24 hours at Eastern States. Naturally, we need to talk to her. How about next episode? We're also looking back at our recent three-hour conversation with Camille Herron. What started as an interview turned into a fascinating exploration of competition, neurodiversity, ADHD, hyperfocus, records, rules, and how easily people can misunderstand someone whose brain works differently. We get into the differences between competition on the track, trails, and at races like Badwaterand why some of Camille's controversial questions about records may have had more substance behind them than people realized. Plus: The Eastern States 100 carnage Kaylee Frederick's historic performance Kaylee's incredible East Coast résumé The youngest finisher at Badwater Jigger Johnson and trail-race talk Anna's Bald Face Loop adventure Art's trail maintenance adventures on the Old Osseo Trail Phred's seemingly endless running streak Creatine, protein bars, bicarbonate and other ultra-runner science Getting older, getting slower, and pretending we're not John Kelly's Appalachian Trail attempt Colorado heat, smoke and water restrictions Another episode of the Cultra Trail Running Podcast where somehow we manage to talk about elite ultrarunning, trail maintenance, supplements, aging, technology and Patreon before remembering that we were supposed to be talking about a race. Get your official Cultra Clothes and other Cultra TRP PodSwag at our store! Outro music by Nick Byram Become a Cultra Crew Patreon Supporter  basic licker.  If you lick us, we will most likely lick you right back Cultra Facebook Fan Page Go here to talk shit and complain and give us advice that we wont follow Cultra Trail Running Instagram Don't watch this with your kids Buy Fred's Book Running Home More Information on the #CUT112   

Rick Stroud and Steve Versnick break down a strong finish for the Buccaneers in their second joint practice against the Jets, highlighted by an efficient Baker Mayfield, a two-minute drill touchdown to Cade Otten, and a defense that shut the door when it mattered. Rookies Ted Hurst and cornerback Ayden Garnes flash in big moments, while the guys also discuss the scary injury scare to Emeka Egbuka's toe and what it could mean for Tampa Bay's receiving corps heading into preseason play. They also preview Friday's preseason opener against the Jets and who's likely to sit.Then it's over to baseball, where the red-hot Rays just completed a historic 9-0 West Coast road trip — one of only two times in MLB history an East Coast team has swept a nine-game West Coast trip. Rick and Steve dig into Tampa Bay's spot atop the American League, Junior Caminero's chase for the home run title, new addition Jorge Mateo, Nick Martinez's complete-game gem, and why this Rays squad might be one of the most fun — and best — in franchise history. Hosted on Acast. See acast.com/privacy for more information.

Episode Summary On this episode of the Solar Maverick Podcast, Benoy Thanjan speaks with Jacob Yang, a clean energy marketing and communications professional who has worked across the solar, energy storage and climate tech industries. Benoy and Jacob discuss how marketing in renewable energy has evolved, some of the biggest mistakes clean energy companies make when communicating with customers, and why thought leadership and personal branding are becoming increasingly important. They also explore the growing importance of LinkedIn as a business development platform, how executives can build authentic brands without constantly selling, and why sharing knowledge consistently can create opportunities long before someone becomes a customer. Jacob also shares his perspective on careers in clean energy, the skills that will become increasingly valuable, and how the industry may evolve over the next decade.   Biographies Benoy Thanjan Benoy Thanjan is the Founder and CEO of Reneu Energy, a solar development and consulting firm, and the host of the Solar Maverick Podcast. He also serves as a strategic advisor to multiple cleantech startups. Over his career, Benoy has developed more than 100 MW of solar projects across the United States, advised on more than 1 GW of energy projects worldwide, helped launch some of the first residential solar tax equity funds at Tesla, and brokered approximately $50 million in renewable energy credit transactions. Before founding Reneu Energy, Benoy worked in Tesla's Project Finance Group as an environmental commodities trader, where he managed one of the company's largest environmental commodities portfolios. He originated renewable energy credit transactions and worked with senior leadership to develop monetization and hedging strategies supporting the company's expansion into East Coast markets. Benoy also served as Vice President at Vanguard Energy Partners, a solar and energy storage construction company, where he developed project finance solutions for commercial-scale solar portfolios. At Ridgewood Renewable Power, a private equity fund with approximately 125 MW of U.S. renewable energy assets, he evaluated investment opportunities, supported portfolio strategy, and played a key role in the sale of the firm's renewable energy portfolio. Earlier in his career, Benoy worked in Energy Structured Finance at Deloitte & Touche and in Financial Advisory Services at Ernst & Young. He also completed an internship on the trading floor at D. E. Shaw & Co., a global investment and technology development firm. Benoy holds an MBA in Finance from Rutgers University and a Bachelor of Science in Finance and Economics from the NYU Stern School of Business, where he was an Alumni Scholar.   Guest Information Jacob Yang is the founder and CEO of Amp Your Story and a clean energy marketing professional with more than 10 years of marketing experience and approximately seven years of experience working in clean energy. Earlier in his career, Jacob worked at a marketing agency where his clients included utility-scale EPC companies in the Midwest and several cleantech startups. Today, he works with cleantech companies around the world as a fractional CMO. Jacob also created a free online clean energy marketing community designed to encourage collaboration, professional growth, knowledge sharing, and new voices within the industry. The community helps marketers navigate challenges ranging from clean energy policy and industry volatility to AI, emerging marketing technologies, career development, and demonstrating marketing ROI. Through his thought leadership, Jacob focuses heavily on personal branding, LinkedIn, demand generation, paid advertising, AI, and helping clean energy professionals become more effective marketers. He is also developing a clean energy LinkedIn course designed to share these strategies with a broader audience.   Stay Connected: Benoy Thanjan Email: info@reneuenergy.com  LinkedIn: Benoy Thanjan Website: https://www.reneuenergy.com Website: https://www.solarmaverickpodcast.com/   Jacob Yang LinkedIn: https://www.linkedin.com/in/jacobjuancarlosyang/   Website: https://cleanenergymarketer.com   Jacob Yang interview about Linkedin strategies https://www.youtube.com/watch?v=4dnDOdlpLZU Sponsor This episode of the Solar Maverick Podcast is brought to you by Reneu Energy. Reneu Energy works with companies and organizations on renewable energy strategy, project development, owner's representation, project finance, renewable energy credits, and market advisory services. To learn more, visit: https://www.reneuenergy.com Listen and Subscribe Subscribe to the Solar Maverick Podcast on Apple Podcasts, Spotify, YouTube, or your favorite podcast platform. If you enjoyed this episode, please leave a rating and review. It helps more people discover conversations with the leaders shaping the future of solar, storage, and the energy transition.  

In this episode of The Lifeguard Podcast, we sit down with Doug Armstrong, a captain with the National Park Service Ocean Lifeguards at Ocean Beach, San Francisco — one of the only National Park Service lifeguard operations on the California coast. Doug walks through his path from teenage East Coast beach lifeguard to nearly 20 years guarding one of the most dynamic and unpredictable stretches of water in the country, right beneath the Golden Gate Bridge. He breaks down what makes Ocean Beach so uniquely demanding: shifting tidal currents, dense fog, and a small seven-person crew that has to stay mobile, fit, and tightly bonded to handle it all. The conversation also covers Doug's unexpected second career as an attorney, how he balances two very different professional identities, and his work bringing water safety expertise to wave pool facilities like the Surf Ranch. It's a rare look inside a lifeguard operation most people — even within the industry — have never heard of.00:00 – Intro: Meet Doug Armstrong02:00 – How Doug got his start lifeguarding on the East Coast05:00 – First year on the job and his first rescue09:00 – The move to California and the National Park Service11:00 – What makes NPS lifeguarding at Ocean Beach unique13:00 – Life on patrol: no towers, no facility, just trucks15:00 – Tidal currents and Ocean Beach's toughest conditions17:00 – Running a 7-person crew and team culture19:00 – Leadership: filtering and building the right team28:00 – Training standards and going through wetsuits30:00 – Working with the Coast Guard, fire dept, and biologists33:00 – Operating under the Golden Gate Bridge36:00 – Pay, cost of living, and working for a federal agency40:00 – Doug's side gig as a practicing attorney44:00 – How law and lifeguarding sharpen each other50:00 – Growing the program with full-time positions52:00 – The Stinson Beach side of the operation54:00 – Keeping his lifeguard and attorney identities separate57:00 – Getting into wave pool water safety (Surf Ranch)1:01:00 – The rise of wave parks and new water safety needs1:02:00 – Doug's advice for aspiring lifeguards1:05:00 – Closing thoughts on Ocean Beach's operationWatch On YouTube Here:https://youtu.be/mSqV-vSgQdoPresented by The Ben Carlson Foundation:https://www.bencarlsonfoundation.org/https://www.instagram.com/bencarlson_foundation/Subscribe to the Podcast Here:https://podcasts.apple.com/us/podcast/the-lifeguard-project/id1748861682https://open.spotify.com/show/7EoZTDiET6jJ6XJ1g5X54thttps://www.instagram.com/thelifeguardproject/https://thelifeguardproject.org/Host, Drasko Bogdanovic:https://www.instagram.com/drasko_projectsOcean Lifeguard, National Park Service Lifeguards, Ocean Beach San Francisco, Golden Gate Bridge, Rip Current Safety, Water Rescue, Lifeguard Culture, Coastal Lifeguarding, Surf Zone Safety, Wave Pool Water Safety

This week, Robby gets to know Mady Hsue. Mady is a young rider that grew up in Oregon and know lives on the East Coast where she recently graduated from University of Kentucky. Not only is an eventer competing at the 2* level but at a young age she runs her own media company, TidBits Media. It's not rare to see Mady out competing and working getting media content for her clients at the same event. It was fun getting to know Mady and we hope you enjoy too!To follow Mady and TidBits Media:https://www.instagram.com/tidbits.media/https://www.instagram.com/mlh.eventing/Please support our sponsors:https://cowboymagic.com/https://manentailequine.com/https://exhibitorlabs.com/https://www.triplecrownfeed.com/Sign up for our mailing list!https://mailchi.mp/b232b86de7e5/majorleagueeventingllc?fbclid=IwAR2Wp0jijRKGwGU3TtPRN7wMo-UAWBwrUy2nYz3gQXXJRmSJVLIzswvtClE

In Minnesota, a crucial Democratic Senate primary could help to determine the party's future path. Lt. Gov. Peggy Flanagan, a progressive, and Rep. Angie Craig, a moderate, will face off Tuesday. Jonah Kaplan reports.Newly released video of a recent traffic stop in Arkansas shows a state trooper punching an 18-year-old Black woman in the face after forcing her to the ground on the side of a highway. The trooper said the woman was resisting arrest. Warning, the video may be disturbing.A new executive order from President Trump calls for spacing out vaccines for children and getting fewer at any given time. CBS News medical correspondent Dr. Celine Gounder explains what parents should know.A lifeguard says a shark dragged him about 5 feet underwater off the coast of Scarborough Beach in Maine before he was able to escape and emerge unharmed. The attack comes as officials along the East Coast say there are more sharks closer to shore in areas where they don't usually go. Tom Hanson reports.Despite the back-to-school sales, it's still summer travel season. Kris Van Cleave explains some airline rule changes that could impact your wallet when you fly.Despite concerns about AI, Meta CEO Mark Zuckerberg has an optimistic vision for its future, which he shared in a new essay. He also described what he thinks is the "most dangerous" AI scenario. Nick Thompson, CEO of The Atlantic, breaks down Zuckerberg's essay.Reece Weaver, whose exit from the Dallas Cowboys Cheerleaders on the show "America's Sweethearts: Dallas Cowboys Cheerleaders" left viewers shocked, exclusively announced on "CBS Mornings" that she is making her Broadway debut. She talks about the transition, why she made the decision and what it was like to start rehearsals.

If you've been wanting to incorporate film into your wedding photography but have NO idea where to start, this episode is for you!Today I'm chatting with film and editorial wedding photographer Loraleah Marie all about how to start shooting film at weddings and sessions without feeling completely overwhelmed by the process.Because adding film to your work isn't just about grabbing a film camera and hoping for the best. There are so many little pieces to think about from choosing your settings and understanding your film stock to knowing when to push or pull your film, where to send it for processing, and how to actually stay organized when you're shooting both digital AND film on a wedding day.Loraleah is breaking it all down and giving you a behind-the-scenes look at her process so you can feel more confident experimenting with film in your own photography business.In this episode, we cover:How to start incorporating film into your sessions and weddingsFilm camera settings and what you need to know before shootingWhat pushing and pulling film actually meansHow to decide when to push or pull your filmWhere to send your film for developing and processingWhat to know about film scansHow processing and scanning can impact the final look of your imagesHow to organize your film rolls throughout a wedding dayKeeping track of what you're shooting when working with multiple rollsTips for balancing digital and film photography during a weddingHow to start experimenting with film without putting too much pressure on yourselfIf film photography has been sitting on your “I really want to try this someday” list, consider this your sign to finally start experimenting with it.You don't need to completely change the way you shoot or suddenly become an expert. Start learning the process, understand what's happening behind the scenes, and find ways to intentionally incorporate film into the work you're already creating.About Loraleah MarieLoraleah Marie is a Charleston-based film and editorial wedding photographer known for creating imagery that feels cinematic, nostalgic, authentic, and a little funky. She photographs weddings throughout Charleston, New York, the East Coast, and destinations around the world, blending editorial imagery with documentary storytelling to capture both the big moments and everything happening in between.Connect with Loraleah and see more of her work at https://loraleahmarie.com/photographershttps://www.instagram.com/loraleahmariephotography/

Join the #1 real estate community for agents and investors: https://www.skool.com/offmarketmethod/about?ref=791b3644f63045c9a6d3d8634e57c1f1Want to SCALE your real estate business to $100k/month? Go here: https://easybuttonrealestate.com/leads?utm_source=YouTube%20%28Funnel%29&utm_medium=organic&utm_campaign=Social&utm_content=Direct&utm_term=PerpetualSummary:Just got back from a weekend in San Diego with a good chunk of our leadership team and about 15 investors and flippers from all over the country, and I've got to be honest, it left me thinking. We ran hot seats, did some presentations, and heard from guys on the East Coast, the Midwest, and the West Coast, so this wasn't just one market's problem. There was one theme that kept showing up over and over again, and it's not sexy, but it might be the single biggest reason some people are struggling right now while others aren't.In this episode, Tucker and I break down what we saw at the event, why houses are basically illiquid right now compared to a hot market, and the real difference between the investors who are stressed out chasing deals versus the ones sitting comfortably with options. We also get into where we think rates and the broader market are headed, why the AI hype might be a bigger bubble than people realize, and how that could actually end up being good news for real estate. If you're feeling the pressure to keep the machine running right now, this one's for you.Connect with Cole Ruud-JohnsonInstagram: https://www.instagram.com/coleruudjohnsonTwitter: https://twitter.com/coleruudjohnsonLinkedIn: https://www.linkedin.com/in/coleruudjohnsonTikTok: https://www.tiktok.com/@coleruudjohnson

How would you handle this long winded friend?

As summer begins its slow wind down, listeners call in to share what's still on their summer bucket lists. Photo: NEW YORK, NEW YORK - JULY 15: A beachgoer sits in the shade under an umbrella at the beach at Coney Island in Brooklyn on July 15, 2026 in New York City. New York City is under an Air Quality Health Advisory as the Canadian and Great Lakes wildfire smoke gradually moves through the area, creating a thick haze in the heat. New York City and much of the East Coast are experiencing temperatures with the heat index over 100 degrees as the region confronts another heat wave. (Photo by Spencer Platt/Getty Images)   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Hi! Woah. I leave for the East Coast to start my Make It Fast (please for the love of ME, pre-order it!!!) book tour in less than 48 hours. My literary agent just called to check in on my mental state and I'll tell you what I told her— I'm honestly feeling great. I haven't started packing, but I've got a million outfit options strewn about my closet, and I'll get there eventually. The flights are booked and the hotel reservations are made. It's go time, baby. I'm also thrilled to announce that I have officially entered phase 5 of the creative process:With my last book, I was firmly still in phase #4 (“I suck”) until the book had actually been published and all of you started to cook from it and share your photos and reviews and love of the book. But with Make It Fast, I hosted a party and gave the book to my friends and family two weeks before pub day! I created an Illegal Bookclub and roped in my friends all across the country to share advanced copies of the book with their communities! And, comically, Indigo (the main Canadian seller of the book) accidentally sent all of the pre-orders like two weeks early, so all of the Canadian What To Cookers out there have had their books for a week now! And Canadians are so nice — they are sending so much positivity my way!So there are a LOT of people out in the world, people who I love and trust, who have already seen it, and cooked from it, and told me how much they love it. Thus launching me into phase #5 (“this might be ok”) a few weeks earlier than my last book publishing cycle. I guess, if I'm being honest, what I'm saying is that I require external validation to feel good about my work? Is that pathetic? I don't think so. I think it's a real, honest part of most (all?) people's creative process. It feels really scary and vulnerable to launch a piece of work that you've worked so hard on out into the world. It feels a little bit like dropping your deeply feeling, sensitive, absolutely incredible child off at Kindergarten for the first day of school. Will he make friends? Will the teachers understand how creative and kind and cool he is? Will they be patient with him and let him finish his art project because he really doesn't like when he doesn't get to finish his art project? Will the world love him as much as I do? This analogy is not random: I am dropping my deeply feeling sensitive child off at Kindergarten for his first day of school tomorrow, and the jitters and unease of that feel so akin to publishing a book. By next Wednesday when I send this newsletter, Make It Fast will be in your kitchens, if you've pre-ordered (have I mentioned I'd really love it if you could pre-order?). I'll have already been on Good Morning America two mornings in a row (bless them, what an invitation!), spoken with Jenna Bush Hager in front of an audience of you in Brooklyn, yapped with Dan Pelosi in Boston, chatted with Kerry Diamond in DC, and I'll be en route to Charlotte where I'll be in conversation with our very own Molly from What To Cook. I am excited, and I am nervous, and just like I've been telling my five-year-old, it's OK to feel both of those things at once. And Phase 6 (“this is awesome”) is just around the corner for both of us. There are lots of other book tour dates — check them all out here!Today's So Into That is sponsored by FP Movement. We've talked about our love for their Carpe Diem shorts many times before (a truly perfect athletic short at a very good price point!), but FP Movement has many more athleisure pieces we love. From Molly from What To Cook: I'm on vacation at the beach this week and have been living in this dress and shorts combo when I'm not in a bathing suit. It's so so comfy and easy to throw on for beach walks — it'll also be great to wear on the sports sidelines when it's 100 degrees outside. I'm a shortie (5'3”) and had to shorten the straps a tiny bit (worth the effort!). We also love these biker shorts with this boxy short sleeve and this oversized long sleeve! * Dr. Becky invited me to plan the menu for a REALLY special dinner celebrating Good Inside Baby on Monday in LA. I got to hang with MALLY K. GOLDMAN and Megan Roup and Elaine Welteroth and so many incredible, smart women who make motherhood safer, more fun, stronger, and more fashionable. The dilly feta salad with feta brined shrimp, flank steak with elote salad, and bbq chicken are all straight from the book! My menu concept was elegant California BBQ and I think we nailed it! PS If you're in LA, Heirloom catered and they rule. PS because I know you all want to know, Becky is awesome IRL. She is a fellow insomniac romance book lover, she values her female friendships so highly and they come up in conversation all the time (this is always a green flag for me when I meet new people), and she's just so incredibly smart, insightful, and cool. This is not sponsored but we've swapped codes for each other in the past and my Good Inside code still works — you can use code WHATTOCOOK to get 20% off a subscription to Good Inside if you could use a little parenting assist (like with how to get your deeply feeling kid to dread the first day of school less!). * I recently worked with Groundwork to hire a new team member (woohooooo, Meg!) and it was such an incredible experience that I wanted to share. Three in four U.S. workers are also caregivers, and as that caregiving work collides with mid-career years, most end up forced to choose between staying all in at real personal cost or stepping away entirely — becoming a hugely qualified, "off-market" talent pool that's actually eager to work, just on slightly different terms. Groundwork connects people like that with employers building smarter, more flexible teams. In my case, I knew I needed help in a certain space but had no idea how to define the role or find the right person. They sat down with me, helped flesh it out, wrote the job description, sourced candidates, and ran interviews, and took it all off my plate. And brought me the most INCREDIBLE CANDIDATES! Like lights out brilliant women. If you're a small business owner stuck in hiring limbo, or you're job hunting and sick of the LinkedIn black hole, Groundwork is worth a look.* From Molly: A go-to breakfast of mine this summer has been avocado toast inspired by some Caro made for our team last time I was in Carmel. Mashed avocado seasoned with salt and pepper, slathered on a thick slice of GOOD toasted sourdough, and topped with chili crisp, pickled red onions, flaky sea salt, and fresh cilantro. So good.* From Molly: I've been slathering on this body oil after time in the sun this week — it's very luxurious feeling and makes my skin glowy! From Caro: Oh I love this too!!! It really does not make you feel oily at all, it absorbs so nicely.My publishers are dropping a few more advance reader copies of Make It Fast in the mail to some of my media/Internet friends this week, and I told them to save some for WTCers!! We are going to mail three of you a copy of Make It Fast, along with a Butter Pants spatula and a Caraway kitchen timer! To enter to win, comment on this post with the meal you cook most often when you absolutely do not feel like cooking. It doesn't have to be from scratch! For example, mine has historically been frozen dumplings and peanut sauce, and Molly's is pasta with Rao's marinara and frozen meatballs. Comment between now and August 10 — we will randomly select three winners next Tuesday, August 11, and alert them by Substack DM! Every week, we dig into the What To Cook archives to see what we were cooking this time in years past — the recipes worth bringing back into your rotation. Here's this week's lineup. 1. salmorejo, 2025Oooh, this is such a good one. Traditional salmorejo! From José Andrés! If you have boatloads of ripe tomatoes that need to be used up, make this creamy chilled tomato soup. It gets its creaminess in part from blended artisanal bread, so if you have any leftover sourdough from this week's summer shrimp panzanella, use it here! 2. skillet cheddar turkey burgers, 2024Juicy, cheesy turkey burgers seared in a skillet and served with a tangy, punchy burger sauce — this recipe (which is an excerpt from What to Cook the book #1!) is just so good. Go classic with buns, or shake things up and make sliders for a party, meatballs for dipping, or crumbled patties in pita for lunch the next day.3. turkey meatballs with corn butter rice, 2023These juicy turkey meatballs are packed with flavor, but the real star of the show is the buttery corn-studded rice. It's sweet, savory, summer perfection. While you're cooking, double the meatballs and freeze half for later — future you will be thrilled.4. healthy (or not as healthy…) corn chowder, 2022Sweet corn gets blended into a creamy, cozy chowder that tastes like summer in a bowl. Keep it light with coconut milk, or go richer with heavy cream — both versions are equally delicious. Make it on a Sunday and thank yourself all week — it reheats beautifully and somehow tastes even better on day two.5. sheet-pan crispy pork chops with fennel and peaches, 2021These roasted peaches are iconic — soft, jammy, and caramelized at the edges. Add in sweet, roasty red onions and fennel, plus golden, crispy pork chops, and you've got an easy dinner that feels delightfully fancy. The method works just as well with chicken breasts or sausages if that's what you've got.We use affiliate links when sharing product recs, which means WTC may earn a small commission off of purchases you make through those links. This does not cost you anything extra and is a way to support the production of and team behind What To Cook. Sponsorships are another way we partner with brands that we authentically love and can personally vouch for. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit whattocook.substack.com/subscribe

In today's episode of the Atheist Experience, ObjectivelyDan and Seth Andrews tackle the problem of evil, epistemology, and whether math could be God!Darth Dawkins from the East Coast challenges Seth on how anyone can know what a maximally benevolent God would allow. The conversation escalates as Darth repeatedly accuses the hosts of dodging his question and being abusive when muted. If this is the best defense of God's benevolence, what does that say about the argument itself? Can you really claim to know what an all-good deity would permit without defining your terms?Aaron in TX explains how evolution completely undermines the concept of original sin and the entire Christian narrative. He also explores how religious obedience can lead to financial exploitation and poor personal boundaries. If Adam and Eve never existed, what happens to the foundation of Christianity? How does blind obedience to religious authority make people vulnerable to manipulation?Allison in MO proposes that math is the only thing that could be considered God, as it exists outside time and space and governs all physical laws. The hosts struggle to understand the premise and suggest workshopping the argument. Does math exist independently of minds, or is it a tool we invented? If math is God, what does worship even mean?Thank you for joining us this week! We will see you next time!Become a supporter of this podcast: https://www.spreaker.com/podcast/the-atheist-experience--3254896/support.

If someone tells you it's flisky or flobby outside, do you need to take an umbrella? A new book about England's soggy climate includes 188 terms for rainy weather. Americans have their own joking names for local weather, from June Gloom in Southern California to Snowvember on the East Coast. And: Does it seem like automobiles are getting bigger lately? They are indeed, and there's a new word for that: carspreading. Plus, no soldiering, drisk, kelsher, a musical puzzle, Fogust, esophagastroduodenoscopy, my boo, gorgeous, ballicater, prog, and Has your mother sold her mangle? Hear hundreds of free episodes and learn more on the A Way with Words website: https://waywordradio.org. Be a part of the show: call or text 1 (877) 929-9673 toll-free in the United States and Canada; elsewhere in the world, call or text +1 619 800 4443. Send voice notes or messages via WhatsApp 16198004443. Email words@waywordradio.org. Copyright Wayword, Inc., a 501(c)(3) corporation. Learn more about your ad choices. Visit megaphone.fm/adchoices