Podcasts about New Hampshire

One of the best books I have ever read; in Cheryl's own words, it is a book about 'hiking and healing in the mountains'.                                             Bio- Floundering in her second career, the one she's always wanted, forty-eight year old Cheryl Suchors resolves that, despite a fear of heights, her mid-life success depends on hiking the highest of the grueling White Mountains in New Hampshire. All forty-eight of them. She endures injuries, novice mistakes, and the heartbreaking loss of a best friend. When breast cancer threatens her own life, she seeks solace and recovery in the wild. Her quest takes ten years. Regardless of the need since childhood to feel successful and in control, climbing teaches her mastery isn't enough and control is often an illusion. Connecting with friends and with nature, Suchors redefines success: she discovers a source of spiritual nourishment, spaces powerful enough to absorb her grief, and joy in the persistence of love and beauty. 48 Peaks inspires us to believe that, no matter what obstacles we face, we too can attain our summits. Guest Links- 48 Peaks on Amazon - https://www.amazon.com/48-Peaks-Hiking-Healing-Mountains-ebook/dp/B078G25465/ref=tmm_kin_swatch_0 Cheryl on HerStoriesProject - https://www.herstoriesproject.com/portfolio/cheryl-suchors/ Cheryl Suchors - https://www.simonandschuster.com/authors/Cheryl-Suchors/222288394 Cheryl on Instagram - https://www.instagram.com/cherylsuchors/ Connect with Anna, aka Mud Butt, at info@traildames.com You can find the Trail Dames at: Our website: https://www.traildames.com The Summit: https://www.traildamessummit.com The Trail Dames Foundation: https://www.tdcharitablefoundation.org Instagram: https://www.instagram.com/traildames/ Facebook: https://www.facebook.com/groups/traildames/ Hiking Radio Network: https://hikingradionetwork.com/ Hiking Radio Network on Instagram: https://www.instagram.com/hikingradionetwork/ Music provided for this Podcast by The Burns Sisters "Dance Upon This Earth" https://www.theburnssisters.com  

Join hosts J.D. Barker, Christine Daigle, Jena Brown, and Kevin Tumlinson as they discuss the week's entertainment news, including stories about Dolly Parton, copyrights, and HarperCollins. Then, stick around for a chat with Lisa Gardner! Lisa Gardner, a #1 New York Times bestselling thriller novelist, began her career in food service, but after catching her hair on fire numerous times, she took the hint and focused on writing instead. A self-described research junkie, she has transformed her interest in police procedure and criminal minds into a streak of internationally acclaimed novels, published across 30 countries. She's also had four books become TV movies (At the Midnight Hour; The Perfect Husband; The Survivors Club; Hide) and has made personal appearances on TruTV and CNN. Lisa lives in New Hampshire where she spends her time with an assortment of canine companions. When not writing, she loves to hike, garden, snowshoe and play cribbage. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The miles have been cut back drastically, yet we are on the verge of leaving New Hampshire behind and entering Maine. It has been both glorious and difficult, a challenge I expected, yet probably underestimated. Along the way, I was able to chat with Lisa, one of the new owners of the Libby House, Evie, the caretaker at the Imp Tentsite, and Baptist, a foraging SOBO, who shares a few mushroom secrets. I'm using Polarsteps to record my AT thru-hike this year. If you'd like to follow my progress between episodes, as well as photos of my journey, please go to https://www.polarsteps.com/mightyblue and click on the follow button. I used my hike in 2024 on the South West Coast Path in the UK to help raise money for my absolute favorite charity, Parenting Matters, on whose board I've been privileged to serve for over a decade. You can learn more about the hike and the organization–and donate–by visiting Hike with Steve - Empowering Parents, One Step at a Time | Parenting Matters %. I hope you want to support this critical mission. Don't forget. Our entire series of videos from our Woods Hole Weekend in 2022 is now FREE and available at my YouTube page at Woods Hole Weekend - Trailer There, you'll find all sorts of tips and tricks that our guests took away from the weekend that helped them with their own hikes this year. Check it out. I often ask listeners for ideas on who to interview, and I'm sure several of you say, "I could do that. I've got an awesome story to tell." You're the person we need to hear from. If you'd like to be interviewed on the podcast, just register as a guest on the link below, and I'll be in touch. Come on the show! If you like what we're doing on the Hiking Radio Network, and want to see our shows continue, please consider supporting us with either a one-off or monthly donation. You'll find the donate button on each Hiking Radio Network page at Hiking Radio Network . Additionally, you can join our membership at Steve (Mighty Blue) Adams. It's worth checking out what is on offer for you there. If you prefer NOT to use PayPal, you can now support us via check by mailing it to Mighty Blue Publishing, 3821 Milflores Drive, Sun City Center, FL 33573. Any support is gratefully received. Additionally, you can "Zelle" me a donation to steve@hikingradionetwork.com. Or "Venmo" me at @‌Steve-Adams-105. They both work! If you'd like to take advantage of my book offer (all three of my printed hiking books–with a personal message and signed by me–for $31, including postage to the United States) send a check payable to Mighty Blue Publishing at the address just above.

We kick off the episode celebrating National Eat Outside Day and mixing up some creatine electrolytes in a Hydro Jug to fight off brain fog before diving into some major rants. Mike vents about annoying "see what's new" software pop ups on Riverside. Mike explains a bizarre shipping error where he mysteriously received three identical, limited edition watches for his birthday despite his wife Sam only paying for one. Shifting to sports, we celebrate the US Wheelchair Rugby team—featuring previous podcast guests Chuck and Sarah—winning the World Championship for the first time in 16 years after defeating Australia 57-51. We also discuss Nike's Lower East Side 100-meter street race where the fastest sprinter gets their NYC rent paid for a month (up to $4,000), and debate a viral story about four 18-year-old New Jersey hikers who were billed what we consider a very reasonable $1,000 for a nine-hour rescue in New Hampshire. We also reluctantly acknowledge the fast-approaching NFL and fantasy football season, which unfortunately signals the start of Erin's cold weather seasonal depression. In "Erin's Tea Time," we break down a disastrous week for corporate marketing. We cover Callaway Golf's controversial ad featuring a man shoulder-checking a woman for a club (which they blamed on a YouTube production company), Tarte Cosmetics sending influencers highly offensive PR packages with their faces marked up for plastic surgery, and LoveSac's embarrassing decision to mock comedian Deric Cahill with tiny gardening gloves after he made a viral video about their exhausting 25-box couch assembly. In the tech world, we review the unhinged Humanoid Robot Games in Beijing and a "robot" house cleaner that we think is actually being controlled by underpaid overseas laborers who are essentially scanning your home's layout. We also laugh at our favorite corporate one-liners to use at the office. Finally, in "No Bad, No Sad," we highlight the wholesome viral moment of 34-year-old "Heather Skater" inviting all of Denver to a local park to cheer her on as she happily fell her way through her very first roller skating attempt.

Designing a construction business with the right systems and processes from day one is how you build for lasting profit and freedom. New Hampshire home builder Tom Raisanen shares how he set up pre-construction, project handoffs, a CEO schedule, and his first hire so the company can eventually run without him. ⚡Schedule a Business Evaluation Call with The Construction Leading Edge Team:  HERE

Joel and Sina compare centralized food outbreaks with the safety record of small processors, discuss Polyface's chicken-testing results, and explain why the PRIME Act could transform local meat production.From Episode #260: New Hampshire's Food Freedom Showdown✨ Subscribe for the Full Episode: https://beyondlabels.supportingcast.fmFind Joel Here: www.polyfacefarms.comFind Sina Here: www.drsinamccullough.comFollow on InstagramFollow on XSubscribe on RumbleSubscribe on YouTubeDISCLAIMER

Lake Sunapee covers more than 4,000 acres in west-central New Hampshire, adjacent to Mount Sunapee State Park. The lake contains 11 islands and three lighthouses, which were built in the late 1800s during the steamboat era on the lake. A number of large resort hotels and private estates lined the lake’s shores in that era. Today, the three lighthouses are maintained by the Lake Sunapee Protective Association, or LSPA. The organization, founded in 1898, is dedicated to preserving and enhancing the environmental integrity of the Lake Sunapee Region. Our guest, Midge Eliassen, is a past president of the LSPA. She's been a photojournalist and she continues to capture the beauty of Lake Sunapee and its wildlife in her photography. Her extensive water sampling on the lake has been praised by Dartmouth College and others, and the LSPA awards a fellowship for lake research in Midge's name. Midge was the recipient of the 2018 John F. Morten Award for Exemplary Lake Stewardship.

Our Head of U.S. Public Policy Research Ariana Salvatore looks at what the midterms may reveal about politician's appetite for tackling the faster-than-expected increase in the U.S. debt.Read more insights from Morgan Stanley.----- Transcript ----- Ariana Salvatore: Welcome to Thoughts on the Market. I'm Ariana Salvatore, Head of U.S. Public Policy Research at Morgan Stanley. Today, why fiscal is back in focus and what we can learn about the broader debt trajectory from the upcoming midterm elections. It's Friday, August 28th at 10am in New York. Fiscal policy has moved back onto investors' radars following Treasury's recent buyback announcements. Those came in the same week that total U.S. debt crossed $ 40 trillion for the first time, a milestone that arrived months earlier than most people expected. As my colleague Andrew Sheets puts it, that's a big number. But the more useful question isn't the number itself. It's whether all this debt is starting to act as a brake on the economy.We don't quite yet see a credibility problem in the Treasury market, but that's exactly why fiscal is back in the conversation. And it sits against a bigger backdrop. The U.S. continues to run large deficits in an economy that isn't in a recession. Our economists expect the deficit to stay around 6 percent of GDP through 2027. And voters are clearly concerned about elevated debt levels. So why isn't fiscal austerity coming up more in DC? Simply put, we think the political incentives point the other direction. At the risk of oversimplifying, fiscal consolidation or deficit reduction means either less spending or more taxes. And the political costs of those choices land immediately. We think neither party, therefore, has the incentive to take on that type of policy change – if we don't see a meaningful cliff or a risk to existing programs, especially into an election. But what about after? We think the midterms won't in and of themselves be a catalyst to fix the debt trajectory. But they can tell us something about where this goes next. And I'd point to two things in particular. The first is Social Security. It's not likely to be the headline issue in November, but we could see a useful test case for the debt conversation more broadly because the deadline is creeping closer. The latest trustees report projects the retirement trust fund will become insolvent in the fourth quarter of 2032. And at that point, it could only cover roughly 78 percent of scheduled benefits without a change in law. Now, that's likely to matter more in 2028 than in this cycle, since whoever wins the White House that year will be in office when it hits. But the midterms can still show us where the politics are consolidating. Recent polling points to a fairly consistent pattern. Voters want lawmakers to act. They prefer raising taxes on high earners over broader benefit cuts. And they're notably more open to trimming benefits when it's targeted at the top of the income distribution. That likely explains why a number of 2026 candidates have converged on lifting the payroll tax cap, while some Republicans have largely retreated from campaigning on things like a higher retirement age. Watching which of those messages actually wins, especially in Senate races like New Hampshire or Maine, where a significant share of the electorate depends on these benefits, could provide some useful hints with respect to which of these policy changes actually resonate with voters and end up reflecting the eventual fix. The second is the broader fiscal landscape after the election. If we get a divided government in November, that typically means more fiscal noise around the recurring deadlines, like government funding and the debt ceiling. Those two matter for markets in very different ways. A shutdown's bigger effect tends to be indirect. So, think delayed or lower quality government data since agencies can end up working from smaller survey samples. That leaves investors and the Fed making decisions with less complete information for weeks at a stretch sometimes. The debt ceiling is more direct. That shows up most clearly in the Treasury bill market. Bills maturing around a potential deadline tend to cheapen relative to other short-term benchmarks as investors have to price default risk into that narrow window. And that's the case even when a resolution is still the base case. So, here's the through line: fiscal likely isn't about to become Washington's top priority just because debt crossed $40 trillion. But the midterms are a chance to see whether the political incentives are starting to shift – on Social Security specifically, and on the broader appetite for political fights around funding deadlines more generally. Either way, we think fiscal policy is set to stay in the headlines in the years to come. And especially so as we head into the 2028 presidential election season. Thanks for listening. If you enjoy the show, please leave us a review wherever you listen. And share your Thoughts on the Market with a friend or colleague today.

W10 Lisa Feener & Kelly Irwin – Pack Life Kelly Irwin and Lisa Feener join the podcast to share their experiences in the world of hound hunting, from raising generations of bear dogs to navigating a traditionally male-dominated sport. This conversation explores memorable hunts, dog breeding, wildlife behavior, mentorship, and the deep bond between houndsmen and their dogs. More than anything, this episode is about the dogs, the people who love them, and the traditions that keep the sport alive. Our Sponsors: Thin Green Line Podcast Don Noyes Chevrolet North American Game Warden Museum Hunt Regs WiseEye SecureIt Gun Storage XS Sights “A Cowboy in the Woods” Book Iron Skillet Seasonings Maine Operation Game Thief New Hampshire Operation Game Thief Conservation Officers of Pennsylvania North East Conservation Law Enforcement Chiefs Association International Wildlife Crimestoppers North American Wildlife Enforcement Officers Association Here's what we discuss:  Meeting through New Hampshire Bear Hunters Association field trials  Why women are still relatively uncommon in hound hunting  The term houndsmen and why neither guest worries much about labels  Keeping things simple and focusing on the dogs  Kelly's introduction to hunting with hounds after meeting her husband  Falling in love with the sport almost immediately  Building a family bloodline that now stretches six generations  Lisa's first exposure to hound hunting while working on bear research  Using hounds to capture and study radio-collared bears  Discovering that hounds are more than just tools  "Of course they're dogs. They're going to want to play, they're going to want to snuggle, and they just have this really intense job."  Driving hours to learn more about dogs and hound hunting  Mentorship, friendship, and learning the craft together  "I want you to have a real bear dog."  Trial and error while building a successful pack  Learning to manage different dog personalities and abilities  The differences men and women can bring to dog training  Reading dogs through their voices, behavior, and body language  Understanding each dog's strengths and weaknesses  Memorable hunts in steep mountains and rugged terrain  Recovering dogs from cliffs and navigating difficult country  A successful bear hunt that led to an unexpected encounter with hikers  Turning curiosity into a positive educational experience  Common misconceptions about hunting with hounds  "The strongest relationship you can have with an animal is to hunt with it."  Why most houndsmen are motivated by the dogs, not the harvest  "It's not about how many bears you can kill. For most houndsmen, it's about the dogs."  Watching young dogs develop and gain confidence  The excitement of a puppy figuring things out for the first time  "Some of the most memorable hunts are when the puppies learn a thing."  Catch-and-release bear hunting during training season  Understanding bear behavior and seasonal food sources  Following clues from what bears are eating  Studying movement patterns and habitat use  Building bloodlines and preserving desirable traits  The role genetics plays in creating successful hunting dogs  "You have full ownership over the outcome of that dog."  Why local bloodlines often perform best in local conditions  Hunting differences between northern New Hampshire and northern Maine  Water crossings, cold trailing, and challenging terrain  How regional conditions shape dogs over generations  Hunting with children and introducing the next generation  The teamwork required to manage a successful hound hunt  Working together through guide camps and outdoor adventures  Processing bears in the woods rather than rushing back to camp  Slowing down and appreciating the entire experience  "Take time to smell the roses."  Why the journey matters more than the harvest  Looking ahead to another season with the dogs Credits Hosts: Wayne Saunders and John Nores Producer: Jay Ammann Warden's Watch logo & Design: Ashley Hannett Research / Content Coordinator: Stacey DesRoches Subscribe: Apple Podcasts Spotify Amazon Google Waypoint Stitcher TuneIn Megaphone Find More Here: Website Warden's Watch / TGL Store Facebook Facebook Fan Page Instagram Threads YouTube RSS Learn more about your ad choices. Visit megaphone.fm/adchoices

  Welcome to Episode 244 of the Sounds like a Search and Rescue Podcast. Topics to cover include an update to a regulation change proposal that could impact the White Mountains - we will discuss the Roadless Rule changes being proposed by the federal government that would potentially open up the Whites to additional risk of road development for logging and fire prevention. Plus Dave Shits and Full conditions Event updates, An injured hiker on the lower section of Huntington Ravine suffers a lower leg injury and crawls her way down trail before calling for a rescue, NH is increasing toll prices, 78 year old man is convicted of killing defenseless turtles, Race Car update on Mount Washington, An update on a cold case murder from 1977, a music minute, recent hikes on the Tripyramids, Nick explores the North shore of Mass with a visit to Rockport and Gloucester, Recent SAR news and the topic of the week is an update to SAR data where we share the latest trends and data - a preview - 2026 is shaping up to be the busiest Search and Rescue year since we began tracking media reports in 2019. July alone had 26 search and rescue incidents which is a record.  https://slasrpodcast.com/     Topics Fenway Park, Mai Tais and Road Trips Nick's new cat Lunar Eclipse Roadless Rule for WMNF Full conditions and Dave Shits on the Appalachian Trail Update Injured Hiker on Huntington Ravine Trail NH Toll Price Increase  Man kills Turtles 1977 murder of Shari Roth  Mount Washington Hill Climb Hoover Dam is drying up Gear Review - Yuka APP food scanner Music Minute - Counting Crows Recent Hikes - Rockport and Gloucester, MA Recent Hikes - Tripyramids  Recent Trends for Search and Rescue Events in the White Mountains Show Notes Apple Podcast link for 5 star reviews SLASR Merchandise SLASR LinkTree SLASR's BUYMEACOFFEE Order Hike Safe Card 48 Peaks website Nick's Instagram Full Lunar Eclipse, Friday at 12:13 AM. Roadless Rule for WMNF  USDA statement Injured Hiker crawls out of Huntington Ravine Lakes Region SAR wrote up a summary of the incident New toll hikes in New Hampshire to take effect Jan. 1 - WMUR NH man, 78, accused of killing 15 turtles with UTV convicted on animal cruelty charges Shari Roth case: Officials release photos, seek information - WMUR Sawyer Brook, Sawyer River Trail confusion  Reddit Thread Scott Speed Obliterates Mount Washington Hill Climb Record in Purpose-Built Subaru WRX Hoover Dam reaches crisis levels,  potentially impacting 40 million plus Hatchet Session IPA and McAteer's Dry Irish Stout Magnolia Woods and Rafes Chasm, Halibut Point State Park Essex County Greenbelt   Sponsors, Friends  and Partners Rek' lis Brewing Company Wild Raven Endurance Coaching burgeonoutdoor.com 48 Peaks - Alzheimer's Association Mount Washington Higher Summits Forecast Hiking Buddies  Vaucluse - Sweat less. Explore more. – Vaucluse Gear Fieldstone Kombucha CS Instant Coffee The Mountain Wanderer

Here's something many Democrats and Republicans agree on: The way we debate and discuss politics is messed up. We talk past each other instead of getting things done. Huge amounts of time and money are wasted on bickering and bravado. Neither political party has built a lasting coalition to deal with the most urgent problems of the day. In this podcast we look something local and practical: New Hampshire's experiment in bi-partisan cooperation. Dozens of state legislators are part of the nation's first Braver Angels-inspired cross partisan caucus where elected officials put aside political combat and learn skills of cooperation. Our guests are Democrat Patricia Higgins and Republican Doug Teschner. Patricia served in the New Hampshire House of Representatives from 2012 to 2018. Doug is also a former state legislator, and co-author of the recent book, “Beyond the Politics of Contempt: Practical Steps to Build Positive Relationships in Divided Times.”Both work with New Hampshire politicians at workshops and other events where caucus members learn how to disagree better and listen closely to the views of the other side.“It's not easy and it has its ups and downs, but we're excited we found people who are committed to the idea that we need to get along and have relationships,” Doug told us. “It's not that we can't disagree. We should disagree, but do it respectfully.”Political polarization is part of everyday life in America. Families are divided, friendships have been torn apart, public meetings can descend into shouting matches, and the work of elected officials can be stalled or disrupted when the political becomes the personal. “We know that fundamentally Americans need to learn how to talk with one another,” says Patricia Higgins. “This has to part of all the work that we do.”In this podcast we also discuss courageous citizenship, what Doug and Patricia learned as civic renewal activists, and the many challenges facing the national movement to bridge bitter partisan divides. How Do We Fix It? is a member of the Democracy Group network of podcasts and media publications. Our latest podcasts cover the people, projects and ideas of Braver Angels.Journalist Richard Davies is the host of “How Do We Fix It?” During four decades as an ABC News Radio Correspondent, Richard covered breaking news in 35 states and filed reports from more than ten nations in Europe, The Middle East and Latin America. Hosted on Acast. See acast.com/privacy for more information.

Episode 277: Life Update, Retreat Reflections, and Spicy Riffs I'm sharing a candid, unscripted update after returning from my coach Amber Lilyestrom's retreat in New Hampshire. I reflect on the spaciousness in my life now that all three of my girls are in school, the paradox of wanting to fill open time, and how my relationship with business has shifted from a destination to a navigational journey. I explore conscious creation, the role of contrast, why AI can't replace human coaching, and ultimately circle back to the question: What do you want your life to be about? If you're interested in working together, book a call HERE. Can't wait to chat! If you want to follow along with what I'm writing and thinking in real time, subscribe to my Substack, The Way of Abundance. HERE If you want to build your business from abundance, alignment, and your actual design, you can join the House of Abundance here: itsambersmith.com/house

Join Jim and Greg for the Thursday 3 Martini Lunch as they watch Democrats begging people to stop linking them with Hasan Piker, Virginia Attorney General Jay Jones going after local law enforcement for cooperating with ICE, Republicans suddenly leading in the New Hampshire Senate race, and the NFL putting the Pro Bowl out of its misery.Please visit our great sponsors:QuoMoney is on the line. Always say hello with QUO. Try QUO for FREE PLUS get 20% off your first 6 months when you go to https://Quo.com/3MLHomeServeProtect with HomeServe. Pay 50% less your first year. Visit https://HomeServe.com/Martini to find the plan that's right for you. Savings compared to renewal price. Void in Florida.New episodes every weekday. 

New Hampshire has taken its toll on our weekly mileage, but the beauty and difficulty of the trail up here is staggering in both regards. My memory is also getting a bit of a workout, as I'm seeing the trail with fresh eyes that don't always comport with my previous two thru-hikes. along the way, I spoke with Ron, or Real Estate, a guy we've been hiking around. I'm using Polarsteps to record my AT thru-hike this year. If you'd like to follow my progress between episodes, as well as photos of my journey, please go to https://www.polarsteps.com/mightyblue and click on the follow button. I used my hike in 2024 on the South West Coast Path in the UK to help raise money for my absolute favorite charity, Parenting Matters, on whose board I've been privileged to serve for over a decade. You can learn more about the hike and the organization–and donate–by visiting Hike with Steve - Empowering Parents, One Step at a Time | Parenting Matters %. I hope you want to support this critical mission. Don't forget. Our entire series of videos from our Woods Hole Weekend in 2022 is now FREE and available at my YouTube page at Woods Hole Weekend - Trailer There, you'll find all sorts of tips and tricks that our guests took away from the weekend that helped them with their own hikes this year. Check it out. I often ask listeners for ideas on who to interview, and I'm sure several of you say, "I could do that. I've got an awesome story to tell." You're the person we need to hear from. If you'd like to be interviewed on the podcast, just register as a guest on the link below, and I'll be in touch. Come on the show! If you like what we're doing on the Hiking Radio Network, and want to see our shows continue, please consider supporting us with either a one-off or monthly donation. You'll find the donate button on each Hiking Radio Network page at Hiking Radio Network . Additionally, you can join our membership at Steve (Mighty Blue) Adams. It's worth checking out what is on offer for you there. If you prefer NOT to use PayPal, you can now support us via check by mailing it to Mighty Blue Publishing, 3821 Milflores Drive, Sun City Center, FL 33573. Any support is gratefully received. Additionally, you can "Zelle" me a donation to steve@hikingradionetwork.com. Or "Venmo" me at @‌Steve-Adams-105. They both work! If you'd like to take advantage of my book offer (all three of my printed hiking books–with a personal message and signed by me–for $31, including postage to the United States) send a check payable to Mighty Blue Publishing at the address just above.

Erick maps the midterm Senate landscape after President Trump tells voters to “pretend I'm on the ballot,” with Karoline Leavitt's last day as press secretary, a $400,000-a-head Houston fundraiser for Ken Paxton, Abdul El-Sayed scrambling to distance himself from Hassan Piker in Michigan, and a democratic socialist surging against Chris Pappas in the New Hampshire […]

Joel and Sina explain what HB 396 would allow, why the governor vetoed it, and how New Hampshire's performance-based food-safety standards challenge the federal regulatory system.From Episode #260: New Hampshire's Food Freedom Showdown✨ Subscribe for the Full Episode: https://beyondlabels.supportingcast.fmFind Joel Here: www.polyfacefarms.comFind Sina Here: www.drsinamccullough.comFollow on InstagramFollow on XSubscribe on RumbleSubscribe on YouTubeDISCLAIMER

Ryan Blaney and his giant mustache are headed back to Victory Lane! Blaney grabs his third NASCAR Cup Series win of the 2026 season with a huge victory at New Hampshire Motor Speedway, and Kerry Murphey and Toby Christie break down everything that went into the win and what it means as the season heats up. Then it's time for the NASCAR News of the Week from TobyChristie.com, including the latest surrounding Austin Hill and Brandon Jones, plus some major shake-ups in the O'Reilly Auto Parts Series. We also take a closer look at one of the biggest comeback stories of the season: Josh Berry. After an incredible turnaround, Berry's stock is rising fast — so where does he end up in 2027? Kerry and Toby discuss the possibilities and what his recent performance could mean for his NASCAR future. Then buckle up because NASCAR heads to Daytona International Speedway! We preview this weekend's race, the unpredictable pack racing, superspeedway strategy, potential surprises, and the drivers who could find themselves in Victory Lane after another wild night at Daytona. And finally, Rowdy Dragon joins the show with his Fantasy NASCAR picks for Daytona, including the drivers you should target — and the big names you might want to save for another week. This Week on The Final Lap Weekly: Ryan Blaney wins New Hampshire — mustache and all! Blaney scores his third victory of 2026 Austin Hill & Brandon Jones news Major O'Reilly Auto Parts Series shake-ups Where will Josh Berry race in 2027? Complete Daytona International Speedway preview Superspeedway strategy & potential upset winners Rowdy Dragon's Fantasy NASCAR picks for Daytona Hosted by Kerry Murphey and Toby Christie. If you love NASCAR news, race recaps, rumors, analysis, predictions, fantasy NASCAR and race previews, The Final Lap Weekly has you covered every week. NASCAR News Provided By: http://tobychristie.com -Listen on Spotify -Listen on Apple Podcasts -Click To Play Fantasy NASCAR With Us!  -Giving Fun Is Here: Patreon.com/thefinallap Ryan Blaney, Ryan Blaney win, Ryan Blaney New Hampshire, Ryan Blaney mustache, Ryan Blaney 2026, New Hampshire Motor Speedway, NASCAR New Hampshire, NASCAR New Hampshire results, NASCAR 2026, NASCAR podcast, NASCAR news, NASCAR latest news, NASCAR Cup Series, NASCAR Cup Series 2026, NASCAR race recap, Daytona International Speedway, NASCAR Daytona, Daytona NASCAR 2026, Daytona preview, Daytona race preview, NASCAR superspeedway, Daytona predictions, Daytona fantasy NASCAR, Fantasy NASCAR, Fantasy NASCAR picks, Rowdy Dragon, Rowdy Dragon Fantasy NASCAR, Austin Hill, Austin Hill NASCAR, Brandon Jones, Brandon Jones NASCAR, Josh Berry, Josh Berry 2027, Josh Berry NASCAR, NASCAR silly season, NASCAR 2027, NASCAR driver rumors, O'Reilly Auto Parts Series, NASCAR O'Reilly Auto Parts Series, NASCAR Xfinity Series, Toby Christie, TobyChristie.com, Kerry Murphey, The Final Lap Weekly, The Final Lap NASCAR, NASCAR racing, NASCAR rumors, NASCAR predictions, NASCAR analysis, NASCAR Daytona picks, Daytona fantasy picks, Daytona International Speedway NASCAR Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

New Hampshire clarified a lot with the race to the Chase and we look into all of it heading into Daytona. Also the schedule finally has been released and we have a lot to say! Visit the Daily Downforce at dailydownforce.com Learn more about your ad choices. Visit megaphone.fm/adchoices

NASCAR Roundtable Publisher Tyler Jones (@TylerJonesLive), The Racing Experts Founder Dominic Aragon (@DominicAragon), and ARCA Menards Series Driver Matt Kemp (@KempRacing5) are joined by NASCAR O'Reilly Auto Parts Series/ARCA Driver Andy Jankowiak(0:30-4:20) Ryan Blaney Wins at New Hampshire, plus The Chase picture.(4:20-31:00) Andy Jankowiak on his NASCAR O'Reilly Auto Parts Series debut at Daytona.(31:00-1:01:00) News and Notes: Austin Hill to the No. 33 full-time in Cup next year, San Diego Street Race returns, Jeff Gordon sweeps the IROC races in DC, Daytona Race Preview + Odds.For more NASCAR coverage, checkout NASCAR Roundtable: https://roundtable.io/sports/nascar and The Racing Experts: https://theracingexperts.com/

A.M. Edition for Aug. 26. President Trump sends his landmark nuclear accord with Saudi Arabia to Congress for review, kicking off what's likely to be months of debate among lawmakers. Oxford Analytica's Rawan Maayeh breaks down whether the kingdom is likely to normalize relations with Israel as a part of the deal, as Trump has insisted. Plus, Bill Gates issues a stark warning on AI's impact on jobs and humanity, saying big tech has “no plan”. And we look ahead to Nvidia's earnings, with sky-high investor expectations for the world's most valuable company. And Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

More than six decades after Betty and Barney Hill reported a mysterious encounter while driving through New Hampshire's White Mountains, their story remains one of the most influential—and controversial—cases in UFO history. But what can the surviving evidence, from rare historical documents to archival recordings and surviving U.S. Air Force Project Blue Book records, actually tell us about what happened to the couple on that night back in 1961? This week on The Micah Hanks Program, we revisit the famous case with a review of information documented immediately after the incident, and how it compares with later information that surfaced through dreams, hypnosis, and subsequent investigations. Finally, we also examine the radar reports recorded around the time of the encounter by the U.S. Air Force's Project Blue Book, and skeptical explanations that have emerged over the decades—all in an effort to reevaluate one of history's most complex and culturally significant UFO encounters.  SHOW NOTES Below are links to stories and other content featured in this episode. NEWS: Betty & Barney Exhibit at the Portsmouth Historical Society  Fuller, John G. The Interrupted Journey. The Dial Press, New York. 1966 "A Dramatic UFO Encounter in the White Mountains, NH." Webb's Original Report to NICAP Project Blue Book Incident Report for Lincoln, New Hampshire (Hill Incident Report, via Fold3) Project Blue Book Report: N. Concord AFS, Vermont," September 1961 (via Fold3) BECOME AN X SUBSCRIBER AND GET EVEN MORE GREAT PODCASTS AND MONTHLY SPECIALS FROM MICAH HANKS. Sign up today and get access to the entire back catalog of The Micah Hanks Program, as well as "classic" episodes, weekly "additional editions" of the subscriber-only X Podcast, the monthly Enigmas specials, and much more. Like us on Facebook Follow @MicahHanks on X. Keep up with Micah and his work at micahhanks.com. Want to advertise/sponsor The Micah Hanks Program? We have partnered with AdvertiseCast to handle our advertising/sponsorship requests. If you would like to advertise with The Micah Hanks Program, all you have to do is click the link below to get started: AdvertiseCast: Advertise with The Micah Hanks Program

After NASCAR's rain-filled weekend in New Hampshire, Dale Earnhardt Jr. returns to the studio this week for a new edition of Dirty Air. He joins co-host TJ Majors to react to the race and major stories of the weekend: What should the protocol be for pitting during wet weather races? Carson Hocevar and Connor Zilisch's on-track incident We should rethink the Rookie of the Year voting process Connor Zilisch is heading to Hendrick Motorsports in 2028 Austin Hill gets promoted to the 33 car at Richard Childress Racing The CARS Tour action from Anderson Lee Pulliam joins the show to share some news During the Ask Jr. segment of the show, listeners sent in questions regarding: The IROC race in Washington, D.C. Trading Dale's Daytona 500 wins for a different crown jewel trophy Favorite Elvis movies Favorite types of potato chips Tyler Reddick's rough summer Check out Dirty Mo Media on YouTube: https://www.youtube.com/@DirtyMoMedia Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Schedule a Free Financial Assessment with an experienced professional:https://bit.ly/YMYWassessCEach of the questions Joe Anderson, CFP® and Big Al Clopine, CPA are spitballing today on Your Money, Your Wealth® podcast 596 has a real retirement risk attached to it. Philip and Elizabeth in DC have $7M. Philip's dying to quit a job he hates, but he's loading up on bonds to protect the nest egg. At 56, could playing it too safe be his real risk? Mr. Mojo Risin wants to retire in three years, but $1.7M of his nest egg is riding on one stock, and he needs a good CPA to help defuse it. BB and Shell got pitched a slick new AI crypto investment promising 15% a month. Too good to be true? And Huggy Bear in New Hampshire has $450K in cash value life insurance. Should he grab it now, or wait 20 years until he's 80?9th Annual YMYW Podcast Survey (password ymyw):https://www.surveymonkey.com/r/ymywpodcast2026/The Ultimate Investing Guide - free download:https://purefinancial.com/white-papers/the-ultimate-investing-guide/?utm_source=captivate&utm_medium=podcast&utm_campaign=whitepaper-ultimate-investing-guide&utm_content=ymyw-pod-ep596-description-whitepaperRetirement Readiness Guide - free download:https://purefinancial.com/white-papers/retirement-readiness-guide/?utm_source=captivate&utm_medium=podcast&utm_campaign=whitepaper-retirement-readiness-guide&utm_content=ymyw-pod-ep596-description-whitepaperRetire at 62: Great Idea or Huge Mistake? - YMYW TV:https://purefinancial.com/ymyw/episodes/retire-at-62-great-idea-or-huge-mistake/?utm_source=captivate&utm_medium=podcast&utm_campaign=ymyw-tv&utm_content=ymyw-pod-ep596-description-tv-s11e14Financial Blueprint (free, self-guided):https://bit.ly/YMYWblueprintCREQUEST your Retirement Spitball Analysis:https://bit.ly/YMYWaskCDOWNLOAD more free guides:https://bit.ly/YMYWguidesCREAD financial blogs:https://bit.ly/YMYWblogCWATCH educational videos:https://bit.ly/YMYWvidsCSUBSCRIBE to the YMYW Newsletter:https://bit.ly/YMYWnewsletterCConnect With Us:Subscribe on YouTube and join the conversation in the comments:https://bit.ly/YMYW-YTSubscribe or follow YMYW in your favorite podcast app:https://lnk.to/ymywLeave your honest reviews and ratings in Apple Podcasts:https://podcasts.apple.com/us/podcast/your-money-your-wealth/id312900254Chapters: 00:00 - Intro: This Week on the YMYW Podcast01:03 - We Have $7M and I Hate My Job. Why Am I Still Here? (Philip & Elizabeth, Washington DC)10:20 - Retiring in 3 Years, $1.7M in One Stock. Where's the CPA for This? (Mr. Mojo Risin, GA)19:33 - Is This AI Crypto Investment With 15% Monthly Return Too Good to Be True? (BB & Shell)28:48 - Cash Out $450K in Life Insurance or Wait Until 80? (Huggy Bear, New Hampshire)39:28 - Outro: Next Week on the YMYW Podcast40:58 - The Derails: The Americans, Mr. Mojo Risin

Who will take over as Vermont's next house speaker; A New Hampshire law makes it easier to build and sell tiny homes in the state; and ‘tis the season for students to move back into dorms.

One of the best books I have ever read; in Cheryl's own words, it is a book about 'hiking and healing in the mountains'.                                             Bio- Floundering in her second career, the one she's always wanted, forty-eight year old Cheryl Suchors resolves that, despite a fear of heights, her mid-life success depends on hiking the highest of the grueling White Mountains in New Hampshire. All forty-eight of them. She endures injuries, novice mistakes, and the heartbreaking loss of a best friend. When breast cancer threatens her own life, she seeks solace and recovery in the wild. Her quest takes ten years. Regardless of the need since childhood to feel successful and in control, climbing teaches her mastery isn't enough and control is often an illusion. Connecting with friends and with nature, Suchors redefines success: she discovers a source of spiritual nourishment, spaces powerful enough to absorb her grief, and joy in the persistence of love and beauty. 48 Peaks inspires us to believe that, no matter what obstacles we face, we too can attain our summits. Guest Links- 48 Peaks on Amazon - https://www.amazon.com/48-Peaks-Hiking-Healing-Mountains-ebook/dp/B078G25465/ref=tmm_kin_swatch_0 Cheryl on HerStoriesProject - https://www.herstoriesproject.com/portfolio/cheryl-suchors/ Cheryl Suchors - https://www.simonandschuster.com/authors/Cheryl-Suchors/222288394 Cheryl on Instagram - https://www.instagram.com/cherylsuchors/ Connect with Anna, aka Mud Butt, at info@traildames.com You can find the Trail Dames at: Our website: https://www.traildames.com The Summit: https://www.traildamessummit.com The Trail Dames Foundation: https://www.tdcharitablefoundation.org Instagram: https://www.instagram.com/traildames/ Facebook: https://www.facebook.com/groups/traildames/ Hiking Radio Network: https://hikingradionetwork.com/ Hiking Radio Network on Instagram: https://www.instagram.com/hikingradionetwork/ Music provided for this Podcast by The Burns Sisters "Dance Upon This Earth" https://www.theburnssisters.com  

Adam and Steve break down Ryan Blaney's victory at New Hampshire Motor Speedway. Plus, they talk NASCAR Fantasy Live and look ahead to the regular season finale at Daytona International Speedway. Find Team Blaney on X @teamblaney. On Facebook at Facebook.com/teamblaney. On Instagram and TikTok at Team.Blaney and finally on Discord at https://discord.com/invite/R6W2dpPuTw. You can also follow hosts Adam and Steve on Twitter @adamrogers and @mezz_12. Don't forget to support the Ryan Blaney Family Foundation. Find them on X @rbfamfoundation and online at ryanblaneyfamilyfoundation.org.Our theme music track "Exhilarate" is licensed to us for free use by Kevin MacLeod, incompetech.com and Frequency Digital. Hosted on Acast. See acast.com/privacy for more information.

Kyle Larson finally joins Door Bumper Clear — and he brought his spotter Tyler Monn with him. The guys get into Larson's frustrating winless season, his wild weekend bouncing between Cup and sprint cars, and what it's like working with Tyler after a last-minute change landed them together at Hendrick Motorsports. Larson also explains why he thinks NASCAR needs to stop babysitting wet-weather racing and let teams make their own calls on pit road. Plus, Larson breaks down racing SVG, the skills he's picked up from watching the Supercars star, the Indy 500 double, Connor Zilisch's future at Hendrick, and why Corey Day fans might need to trust the process. The guys also get into Tommy Baldwin's struggles with his son Luke, which spotter complains the most, and plenty of the usual Door Bumper Clear nonsense. And yes, there's talk about karaoke. Because apparently Tyler Monn is one of the best karaoke singers on the planet. Want more DBC? Check out and subscribe to the new DBC YouTube channel! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

New Hampshire has been doing New Hampshire things, like kicking my butt, giving me spectacular daily views, and providing Nuke and me with some of the best hiking of this trip so far. The Kinsman's and Franconia Ridge are now in the rear view mirror, with the Presidential Range still to come. Along the way, my exhaustion at the end of the day has limited my interviews, though I do have a friend, Mike Innes, on the show this week to share a bit of a teaser for a show about nutrition that I will air later in the year. I'm using Polarsteps to record my AT thru-hike this year. If you'd like to follow my progress between episodes, as well as photos of my journey, please go to https://www.polarsteps.com/mightyblue and click on the follow button. I used my hike in 2024 on the South West Coast Path in the UK to help raise money for my absolute favorite charity, Parenting Matters, on whose board I've been privileged to serve for over a decade. You can learn more about the hike and the organization–and donate–by visiting Hike with Steve - Empowering Parents, One Step at a Time | Parenting Matters %. I hope you want to support this critical mission. Don't forget. Our entire series of videos from our Woods Hole Weekend in 2022 is now FREE and available at my YouTube page at Woods Hole Weekend - Trailer There, you'll find all sorts of tips and tricks that our guests took away from the weekend that helped them with their own hikes this year. Check it out. I often ask listeners for ideas on who to interview, and I'm sure several of you say, "I could do that. I've got an awesome story to tell." You're the person we need to hear from. If you'd like to be interviewed on the podcast, just register as a guest on the link below, and I'll be in touch. Come on the show! If you like what we're doing on the Hiking Radio Network, and want to see our shows continue, please consider supporting us with either a one-off or monthly donation. You'll find the donate button on each Hiking Radio Network page at Hiking Radio Network . Additionally, you can join our membership at Steve (Mighty Blue) Adams. It's worth checking out what is on offer for you there. If you prefer NOT to use PayPal, you can now support us via check by mailing it to Mighty Blue Publishing, 3821 Milflores Drive, Sun City Center, FL 33573. Any support is gratefully received. Additionally, you can "Zelle" me a donation to steve@hikingradionetwork.com. Or "Venmo" me at @‌Steve-Adams-105. They both work! If you'd like to take advantage of my book offer (all three of my printed hiking books–with a personal message and signed by me–for $31, including postage to the United States) send a check payable to Mighty Blue Publishing at the address just above.

Team Penske has certainly been on a (lobster) roll this summer, with Joey Logano and Ryan Blaney picking up numerous wins and Austin Cindric safely sitting in a Chase spot rolling into the regular season finale. But do they have a realistic shot at the title? Motorsports reporters Jeff Gluck and Jordan Bianchi are here to analyze that, as well as recap the major races of the weekend in New Hampshire and Washington D.C. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Text me your thoughts or questions on this episode!None of the designers I bring on this show share the same aesthetic, and they don't need to. What I'm looking for is the Slow Style philosophy in practice, whether or not they've ever heard the term.I recently toured the home of designer Amy Dutton — a 1920s bungalow on the New Hampshire seacoast that she and her husband gutted and rebuilt while raising three kids. It turned out to be one of the clearest examples I've come across: without setting out to, she hit every one of the five design elements I talk about in my book, and all three of my design principles were quietly at work throughout.Subscribe to see the full home tour on video — the antique that still adjusts itself with the seasons, the design rule she breaks on purpose in two different rooms, and the values decision hiding behind a square-footage choice.Support the show and subcribe here: https://slowstylehome.supercast.com! You'll have access to ALL full length audio and video episodes each week! Use code: style10 to take an additional 10% off your purchase at Aura House. Elegant diffusers. Clean, pure scents.  Support the show and subcribe here: https://slowstylehome.supercast.com! You'll have access to ALL full length audio and video episodes each week! Use code: style10 to take an additional 10% off your purchase at Aura House. Elegant diffusers. Clean, pure scents. Subscribe to the show to access future episodes! Going forward, we'll continue to publish 1 free episode per month.  If you'd like to have access to the other 3-4 episodes each month, please click on the subscription link, above. Take the quiz: What's Your Style DNA?Aura House + Slow Style Home: Elegant diffusers, clean scents, non-toxic. 

This episode of the show is a wild ride, full of laughter, excitement, and a dash of controversy. The hosts are back from vacation, and they're diving right into the latest news and updates. But before we get to that, they're giving a shoutout to their listeners, who are the real MVPs of the show. They're also sharing some hilarious fake news headlines that will have you giggling out loud.The hosts are discussing the upcoming Bruno Mars concert at Gillette Stadium, where they're giving away tickets to lucky listeners who can identify two Bruno Mars songs played back-to-back. They also talk about the Jonas Brothers' tour, which is coming to Boston and New Hampshire, and the hosts are excited to share some behind-the-scenes stories about their own experiences with the band. But things take a turn when they discuss a documentary about the K-pop group Katsie, which features an interview with one of the hosts.The conversation also touches on some lighter topics, like the hosts' recent vacation to P-town, where they had a blast whale watching and enjoying the beautiful scenery. However, things take a darker turn when one of the hosts shares a story about a social media user who accused him of whale hunting, which is completely absurd. The hosts are quick to defend their friend and set the record straight.If you're ready for a dose of humor, music, and a little bit of controversy, tune in to this episode to hear the rest of the story. The hosts are dishing out the latest news and updates, and they're giving away tickets to the Bruno Mars concert. Don't miss out on the fun – listen to the full episode to find out what happens next!See omnystudio.com/listener for privacy information.

Ryan Blaney makes it two in a row in the Granite State.  Doug Rice, David Styles, Samantha Waddell

Mac & Bone deliver their Weekend Conclusions, including thoughts and takeaways from Charlotte FC's home win, and coverage of the NASCAR race at New Hampshire, we have a local high school football controversy, Deshaun Watson addresses getting booed by Browns fans, & more See omnystudio.com/listener for privacy information.

Rowdy Dragon's Fantasy NASCAR Picks: Who Wins at New Hampshire? It's time to tackle The Magic Mile! Rowdy Dragon is back with his Fantasy NASCAR picks for New Hampshire Motor Speedway, breaking down the drivers you should start, the sleepers worth watching, and the big names you may want to save for another weekend. With Joey Logano coming off his second win of the season at Richmond and Denny Hamlin continuing to dominate, New Hampshire presents another tricky short-flat-track challenge where track position, strategy, and picking the right driver can make or break your Fantasy NASCAR lineup. Rowdy breaks down the best options heading into the weekend, including top-tier favorites, mid-pack value plays, sleepers, and drivers to avoid before the green flag drops. This Week on Rowdy Dragon: Best Fantasy NASCAR picks for New Hampshire Top drivers to start at the Magic Mile Mid-tier value picks Fantasy NASCAR sleepers Drivers you may want to avoid New Hampshire Motor Speedway strategy NASCAR Cup Series trends entering the weekend Rowdy Dragon's pick to win Get your lineup locked in before race day with Rowdy Dragon's Fantasy NASCAR Picks! NASCAR News Provided By: http://tobychristie.com -Listen on Spotify -Listen on Apple Podcasts -Click To Play Fantasy NASCAR With Us!  -Giving Fun Is Here: Patreon.com/thefinallap   Fantasy NASCAR, Fantasy NASCAR picks, NASCAR fantasy picks, New Hampshire Fantasy NASCAR, New Hampshire NASCAR picks, New Hampshire Motor Speedway, NASCAR New Hampshire, Magic Mile, NASCAR fantasy 2026, Fantasy NASCAR 2026, Rowdy Dragon, Rowdy Dragon Fantasy NASCAR, NASCAR picks, NASCAR predictions, NASCAR sleepers, NASCAR drivers to start, NASCAR drivers to avoid, NASCAR lineup picks, NASCAR fantasy lineup, NASCAR Cup Series, Joey Logano, Denny Hamlin, Richmond Raceway, NASCAR short track, New Hampshire race preview, NASCAR race predictions, fantasy racing, NASCAR podcast, The Final Lap, The Final Lap Weekly Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

U.S. foreign policy has teased a 'pivot to Asia' for more than a decade, but as the war with Iran continues, attention is shifting elsewhere. But, Trump's threats to curtail long-running military exercises with South Korea, and the movement of a carrier formation from Asia to the Middle East, may have lasting impacts on the nation's diplomatic & military efforts.Then, the Democratic National Committee has removed Iowa and New Hampshire from their 'first in the nation' status in the party's presidential primary process. We explain the changes & why the party is making them.And, among the things we can't let go of this week: corgis.This episode: senior political correspondent Tamara Keith, White House correspondent Emily Feng, political reporter Elena Moore, and senior national political correspondent Mara Liasson.This podcast was produced and edited by Casey Morell and Bria Suggs.Our executive producer is Muthoni Muturi.Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show's perks include bonus episodes and sponsor-free listening. Learn more at plus.npr.org.See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

Nashua, New Hampshire's Spyglass may not have a unique origin story—engineer friends with a knack for homebrewing started the brewery to focus on the styles they were tired of driving and trading for—but after honing their processes and recipes for the past eight years, and growing into a 20 bbl brewhouse and large-capacity taproom, they've grown more comfortable tackling technical brewing problems on both ends of the spectrum. Whether it's thicker and more saturated hazy DIPA, or lean and light Mexican-style lager, their smart use of malt with some surprisingly large percentages of specialty malt helps them find balance whether the volume is cranked up or dialed down. Cofounder John Wagner and Director of Production Danny Sump join the podcast to discuss their approaches to each, highlighting the beer ¡A Huevo!, which recently scored a 98 in Craft Beer & Brewing Magazine®. In this episode, Wagner and Sump discuss: brewing Mexican-style lager with six row barley and corn using chit malt for better foam in light lager softening lager with extra calcium chloride then sharpening with other ingredients brewing lager without a diacetyl rest coolpooling Mexican-style lager with Saaz hops using 40%+ specialty malt in hazy IPA never bringing hops above 165°F in hazy IPA pushing higher pH underpitching while over-oxygenating for better haze stability And more. G&D Chillers A quick word for the brewers out there staring down a broken chiller. You know the pain—warm fermentors, stressed yeast, and that sinking feeling when the repair quote lands in your inbox. With refrigerant regulations changing and the cost of obsolete refrigerants skyrocketing, sometimes the fix costs more than the unit is worth. G&D Chillers is there to help, whether you're a small brew pub or large full-scale production brewery. Don't throw good money at bad equipment. Invest in a solution that grows with your brewery—and keeps your tanks cold when it counts. Big thanks to G&D Chillers for supporting this podcast since 2019. Reach out to them at gdhillers.com/podcast to learn how they can support your next six years of growth. Berkeley Yeast Here's a brewer's nightmare. It's the night before packaging. You walk into the brewery, straight to the tank. You pull a sample to do a forced diacetyl test, and you wait for it in silence. Something feels not quite right. You reach into the water bath and bring the flask to your nose … And it's a butter bomb. The logistics start running through your head. Do we hold the tank? We have accounts waiting. How many days until it clears? And then you wake up and remember that you use Berkeley Yeast's FRESH™ Chico. It's got ALDC inside every cell, so diacetyl can't even form in the first place. Through primary. Through dry hopping and hop creep. Diacetyl stays ultra-low. So you don't have to add ALDC or wait for diacetyl to clean up. And most importantly, you don't have to wake up in a cold sweat, worrying about scary stories like these. FRESH™ Chico is now available in dried bricks for as low as $88 at berkeleyyeast.com. PakTech This episode is sponsored by PakTech—delivering craft-beer multipacking you can trust. Our handles are made from 100 percent recycled plastic and are fully recyclable, helping breweries close the loop and advance the circular economy. With a minimalist design, durable functionality you can rely on, and custom color matching, our carriers help brands stand out while staying sustainable. Trusted by craft brewers nationwide, we offer a smarter, sustainable way to carry your beer. To learn more, visit paktech-opi.com. Indie Hops Oregon hop country is heaven to world-class lager varieties, and Indie Hops is proud to have introduced Oregon's newest lager hop, Lórien, in 2022. Lórien is in a growing list of beers that have found their way to the podium and—more importantly—into the hearts of lager lovers across the country. Discover Indie Hops Lórien. (Side effects may include rampant festivity, sales bumps, and exceeded expectations.) Indie Hops—Life Is Short. Let's Make It Flavorful. Midea 50/50 Flex If you're like many podcast listeners, you've got a lot of beers at home, and your regular fridge is at capacity. Enter the Midea 50/50 Flex—the industry's first dual-compartment three-way convertible freezer. Here's what all that means for you: options! The 50/50 has the power to be all freezer, all fridge, or a little bit of both. But you'll probably want to use those 20 cubic feet as a massive, garage-ready beer fridge. You can also change which side the door is on or how you want the shelves to be arranged—the 50/50 totally flexes to fit your life. Plus, it's designed to maintain a stable temperature even in non-climate-controlled conditions—so you can crack a cold one even on the warmest days in the man cave. Take your garage to the next level! Check out Midea.com/us/ to get more info about this game changer today. Cheers! Wyeast Laboratories Some strains define an era. These three refuse to stay in just one. To kick off our 40th anniversary celebration, we're celebrating some of our most iconic strains, highlighting the history and impact that each has had on craft brewing. These strains each earned their place in this collection the same way: not by trending, but by staying essential decade after decade, from homebrew benches to commercial brewhouses. 1056 American Ale, 1318 London Ale III, and 2124 Bohemain Lager are the proof, the quiet backbones behind some of craft beer's most familiar pints. Visit wyeastlab.com/most-iconic to learn more about each of these iconic strains.

Parker and Joshua hold it down while Landon's on vacation, covering a packed episode. They kick things off with Monterey Car Week and the magic of seeing exotic cars IRL, then dive into a YouTube ranking of every NASCAR Cup driver ever. The guys also break down a wild iRacing lawsuit over stolen setups, Connor Zilisch's massive Hendrick announcement, Kyle Larson's insane Knoxville Nationals run after Richmond, Verstappen's Red Bull extension, and an exciting IndyCar street race in Washington D.C. They wrap up with picks for the weekend's Cup, Trucks, F1, and IndyCar races. ESPN Article: https://www.espn.com/racing/story/_/id/49649872/the-race-kyle-busch-outrun NASCAR Driver Rankings Video: https://www.youtube.com/watch?v=LUVPWP74pk0 Leave us a voicemail! https://moneylap.com Or email us! friends@themoneylap.com Timestamps: 00:00 - Intro/Monterey Car Week 04:26 - NASCAR Drivers Ranking 09:13 - Mercedes F1 Team's Profitability Clarification 10:52 - iRacing Setup Shop Lawsuit 21:43 - Lessons from Kyle Busch's Passing 24:22 - NASCAR Truck Series at New Hampshire 30:45 - Connor Zilisch to Hendrick Motorsports 37:41 - Trackhouse Racing's Future 44:06 - Critique of Richmond Raceway 48:33 - Kyle Larson's Incredible Weekend 53:27 - Max Verstappen Re-signs with Red Bull 1:01:30 - IndyCar's Exciting Markham Race 1:07:14 - IndyCar's Washington D.C. Race 1:10:35 - Weekend Race Picks (Timestamps are a rough timing and may require a little scrubbing to find the start of the topic) The Money Lap is the ultimate motorsport show (not a podcast) with Parker Kligerman and Landon Cassill professional racecar drivers and hilarious hosts taking you through the world of motorsports. Covering NASCAR, F1, Indycar, and more, they'll provide the scoop, gossip, laughs, and stories from the racing biz. With over 2400 unique products currently in stock, Spoiler Diecast boasts one of the largest inventories in the industry. We are NASCAR focused, offering a wide range of diecast and apparel options. But that's not all. We've expanded our catalog to include diecast for dirt/sprint cars, Indycar, and F1. As passionate racing fans ourselves, we're constantly growing our offerings to cater to different forms of racing. Use promo code "moneylap" for free shipping for orders over $20. https://www.spoilerdiecast.com/ Copyright 2026, Pixel Racing, LLC. All Rights Reserved.

Paul Bonnett joins Hard Parking for a deep dive into real grassroots drifting. The 33-year-old runs a 2007 Nissan 350Z at tracks like Thompson Speedway and Riverside in New Hampshire. He walks through his path from dirt bikes and a serious back injury into stunt riding, the disaster first BMW E46, and why the 350Z plus a simple drift sim finally clicked. You'll hear what drifting actually feels like, how he practices chase proximity, the smartest way to start if you're brand new, and where he wants to take it next.Late news: Nevada approved full robotaxi permits — Tesla up to 5,000 vehicles and Waymo up to 1,000 in the Las Vegas area.Follow Paul on Instagram: @popuppolly617Timestamps:00:00 – Intro & Nevada Robotaxi News02:45 – Meet Paul Bonnett04:00 – Dirt Bikes, Back Injury & Path to Drifting06:00 – BMW E46 Disaster07:30 – 350Z + Drift Sim09:00 – What Drifting Feels Like12:00 – Chase Practice & Sim Training16:00 – How to Get Started20:00 – Tracks & Two-Year Goals25:00 – What He'd Change + ClosingContact Email: info@hardparking.comWebsite: www.hardparking.comPatreon: http://www.patreon.com/hardparkingpodcast/Instagram: https://www.instagram.com/hardparkingpod/YouTube: youtube.com/@HardParkingTikTok: https://www.tiktok.com/@hard.parking.jhaeMain Show Sponsors:Right Honda: https://righthonda.com/Right Toyota: https://www.righttoyota.com/Arcus Foundry: https://arcusfoundry.comAutocannon Official Gear: https://shop.autocannon.com/The Warehouse AZ: https://thewarehouseaz.com/

The Racing Roundtable features NASCAR Roundtable Publisher Tyler Jones (@TylerJonesLive), The Racing Experts Founder Dominic Aragon (@DominicAragon), and ARCA Menards Series Driver Matt Kemp (@KempRacing5).(0:30-9:20) Joey Logano wins at Richmond.(9:20-32:20) Chase Briscoe's solid day, Kyle Larson's double with the win at Knoxville, and The Chase picture.(32:30-59:00) News and Notes: Connor Zilisch to Hendrick Motorsports, Corey Day and Trackhouse Racing's futures, 2026 NASCAR Schedule update, and New Hampshire Preview + Odds.For more NASCAR coverage, checkout NASCAR Roundtable: https://roundtable.io/sports/nascar and The Racing Experts: https://theracingexperts.com/.

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

There are cases that frustrate you because the evidence is thin. And then there are cases where the warning signs seem to be everywhere, but the system still can't quite turn suspicion into action. A woman leaves home for a few quiet days away. Weeks later, police find her car in the woods and the man last seen with her is carrying her gun and giving away her personal belongings. Investigators see the pattern. Her family sees the danger. But seeing it and proving it are not the same thing. As the years pass, the same questions begin following the same man across state lines as he leaves more violence in his wake.   View source material and photos for this episode at: https://darkdowneast.com/judithwhitney   Dark Downeast is an Audiochuck and Kylie Media production hosted by Kylie Low. Follow @darkdowneast on Instagram, Facebook, and TikTok To suggest a case visit darkdowneast.com/submit-case Did you know you can listen to Dark Downeast ad-free? Join the Crime Junkie Fan Club! Visit https://crimejunkiepodcast.com/fanclub/ to view the current membership options and policies. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We're not only pushing through New Hampshire, but we've reached the spot where the rubber meets the road; namely, Mt Moosilauke, the first of the 4000-footers that we climb. It was an exhilarating climb, yet one well within my capabilities. Along the way, I chatted with Nuke, my hiking partner who I first interviewed just after Caledonia State Park, in Pennsylvania. I wanted him to give his impressions of Moosilauke and how his flip flop had gone so far. I'm using Polarsteps to record my AT thru-hike this year. If you'd like to follow my progress between episodes, as well as photos of my journey, please go to https://www.polarsteps.com/mightyblue and click on the follow button. I used my hike in 2024 on the South West Coast Path in the UK to help raise money for my absolute favorite charity, Parenting Matters, on whose board I've been privileged to serve for over a decade. You can learn more about the hike and the organization–and donate–by visiting Hike with Steve - Empowering Parents, One Step at a Time | Parenting Matters %. I hope you want to support this critical mission. Don't forget. Our entire series of videos from our Woods Hole Weekend in 2022 is now FREE and available at my YouTube page at Woods Hole Weekend - Trailer There, you'll find all sorts of tips and tricks that our guests took away from the weekend that helped them with their own hikes this year. Check it out. I often ask listeners for ideas on who to interview, and I'm sure several of you say, "I could do that. I've got an awesome story to tell." You're the person we need to hear from. If you'd like to be interviewed on the podcast, just register as a guest on the link below, and I'll be in touch. Come on the show! If you like what we're doing on the Hiking Radio Network, and want to see our shows continue, please consider supporting us with either a one-off or monthly donation. You'll find the donate button on each Hiking Radio Network page at Hiking Radio Network . Additionally, you can join our membership at Steve (Mighty Blue) Adams. It's worth checking out what is on offer for you there. If you prefer NOT to use PayPal, you can now support us via check by mailing it to Mighty Blue Publishing, 3821 Milflores Drive, Sun City Center, FL 33573. Any support is gratefully received. Additionally, you can "Zelle" me a donation to steve@hikingradionetwork.com. Or "Venmo" me at @‌Steve-Adams-105. They both work! If you'd like to take advantage of my book offer (all three of my printed hiking books–with a personal message and signed by me–for $31, including postage to the United States) send a check payable to Mighty Blue Publishing at the address just above.

In May 2018, a 25-year-old woman suddenly disappears while living with a childhood friend in Grafton, New Hampshire. Her family immediately knows something is wrong, but for months, they are left searching for answers. Then investigators make a devastating discovery: a small piece of her dismembered body is recovered from a nearby pond. As her loved ones begin uncovering disturbing allegations about what she endured before her death, they push for those responsible to be held accountable. But years later, no one has ever been charged with her murder. In episode 416, Jac and Alexis examine the murder of Trish Haynes, the troubling allegations surrounding her final months, and her family's ongoing fight for answers and justice.

Joey Logano is back in Victory Lane! Logano grabs his second NASCAR Cup Series win of the season at Richmond Raceway, and Kerry Murphey and Toby Christie break down what the victory means as the playoff picture continues to heat up. Then it's time for the NASCAR News of the Week from TobyChristie.com, including the latest surrounding Connor Zilisch, plus Bubba Wallace landing a new sponsor for New Hampshire. The Cup Series point standings are getting another shake-up, and Denny Hamlin continues to dominate as the season pushes toward crunch time. Who's climbing, who's falling, and which drivers should be getting nervous? Then we head north for a full preview of New Hampshire Motor Speedway. The “Magic Mile” presents a completely different challenge, and we break down the drivers and teams that could be strongest this weekend. Plus, Rowdy Dragon delivers his Fantasy NASCAR picks for New Hampshire to help you build your lineup before the green flag flies! This Week on The Final Lap Weekly: Joey Logano scores his second win of 2026 Richmond Raceway race recap and reaction Latest Connor Zilisch news Bubba Wallace's new sponsor Denny Hamlin dominates the Cup standings NASCAR playoff and points shake-up Full New Hampshire Motor Speedway preview Rowdy Dragon's Fantasy NASCAR picks Predictions, analysis, NASCAR news and more Hosted by Kerry Murphey and Toby Christie. NASCAR News Provided By: http://tobychristie.com -Listen on Spotify -Listen on Apple Podcasts -Click To Play Fantasy NASCAR With Us!  -Giving Fun Is Here: Patreon.com/thefinallap   NASCAR, NASCAR podcast, NASCAR 2026, Joey Logano, Joey Logano Richmond win, Joey Logano 2026, Richmond Raceway, Richmond NASCAR, NASCAR Richmond results, Denny Hamlin, Denny Hamlin 2026, NASCAR Cup Series standings, NASCAR points standings, NASCAR playoff standings, Connor Zilisch, Connor Zilisch NASCAR, Bubba Wallace, Bubba Wallace sponsor, New Hampshire Motor Speedway, New Hampshire NASCAR, NASCAR New Hampshire, Magic Mile, New Hampshire race preview, NASCAR race preview, Fantasy NASCAR, Fantasy NASCAR picks, New Hampshire fantasy picks, Rowdy Dragon, Rowdy Dragon Fantasy NASCAR, Toby Christie, Kerry Murphey, The Final Lap Weekly, The Final Lap podcast, NASCAR news, NASCAR news 2026, Cup Series, NASCAR Cup Series Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Dale Jr. is back in the studio after Richmond, and there's plenty to debate about on this episode of the Dale Jr. Download. Dale and TJ break down Josh Berry's recent run, the state of Ford and Penske, NASCAR's changes to the front splitter, and why Richmond could be even better with a fix that would piss off the drivers. They also debate Joey Logano's championship chances and whether he can make a deep playoff run. Plus, the guys discuss Connor Zilisch's move to Hendrick Motorsports for 2028, what it means for Trackhouse, and how Justin Marks is shaping the organization going forward. Then, Joey Logano joins the show to talk about Penske's turnaround, his confidence heading into the playoffs, working through a difficult stretch with Paul Wolfe, and embracing the haters. Dale and the crew also dive into Ask Jr to share some Kyle Busch memories, talk Cleetus McFarland's short-track racing, hunting, fantasy football and more before making their Dirty Mo Dough picks for New Hampshire.  Dirty Mo Dough rounds it out with some favorites for racing in New England.   It's another packed episode of the Dale Jr. Download! Check out Dirty Mo Media on YouTube: https://www.youtube.com/@DirtyMoMedia Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Welcome to New England Legends From the Vault – FtV Episode 183 –  Jeff Belanger and Ray Auger hike Mt. Chocorua in the White Mountains of central New Hampshire in search of a centuries-old Native American curse based on betrayal, murder, and a horrible accident. Sokosis Chief Chocorua's final words still reverberate throughout these hills. The curse is so powerful, and has been blamed on so many tragedies, that in 1955 a politician proposed renaming the mountain in an effort to kill the legend. Beware… on Mt. Chocorua, Jeff and Ray find a connection to more than one legend. This episode first aired November 29, 2018 Listen ad-free plus get early access and bonus episodes at: https://www.patreon.com/NewEnglandLegends  Buy Jeff Belanger's new book Wicked Strange New England on Amazon: https://amzn.to/4lMkM3G  Check out Jeff's new underground publication Shadow Zine! https://shadowzine.com  Listen to Ray's Local Raydio! https://localraydio.com/ 

Corey LaJoie and Ryan Flores break down a huge week across motorsports. Joey Logano is back in Victory Lane at Richmond, Corey Heim's NASCAR Rookie of the Year eligibility sparks a bigger debate, and Kyle Larson somehow goes from a sixth-place Cup finish to winning the Knoxville Nationals in the same night.Plus, should Richmond be repaved to bring back the “Action Track”? Kaden Honeycutt dominates the Truck race, IndyCar's wild new Markham street circuit delivers chaos, Cadillac makes a major leadership change in F1, and Scott Speed attacks Mount Washington in one of the wildest runs of the week.The guys also name their Pit Boss of the Week, go inside what makes an elite NASCAR pit crew work, and look ahead to New Hampshire, F1, IndyCar and another packed weekend of racing.Subscribe to Stacking Pennies for racing stories, driver perspective, garage truth and everything happening across the motorsports world.PIT BOSS GRILL GIVEAWAY: https://app.viralsweep.com/sweeps/full/364fc9-234175?framed=1Follow us @_stackingpennies @coreylajoie @skipfloresSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We're at last in New Hampshire, and the drama is ramping up, with longer, higher, and more intense climbs. From previous experience, I know that I've only done the easiest section of New Hampshire so far, but I'm ready to embrace Moosilauke by the time we meet next time. one morning, in a shelter on a rainy day, I managed to speak with a young couple out on a thru-hike, Moss Man and Chapstick, while also engaging in conversation with Neighbor and Bellows, a mother and son duo on a section hike. I'm using Polarsteps to record my AT thru-hike this year. If you'd like to follow my progress between episodes, as well as photos of my journey, please go to https://www.polarsteps.com/mightyblue and click on the follow button. I used my hike in 2024 on the South West Coast Path in the UK to help raise money for my absolute favorite charity, Parenting Matters, on whose board I've been privileged to serve for over a decade. You can learn more about the hike and the organization–and donate–by visiting Hike with Steve - Empowering Parents, One Step at a Time | Parenting Matters %. I hope you want to support this critical mission. Don't forget. Our entire series of videos from our Woods Hole Weekend in 2022 is now FREE and available at my YouTube page at Woods Hole Weekend - Trailer There, you'll find all sorts of tips and tricks that our guests took away from the weekend that helped them with their own hikes this year. Check it out. I often ask listeners for ideas on who to interview, and I'm sure several of you say, "I could do that. I've got an awesome story to tell." You're the person we need to hear from. If you'd like to be interviewed on the podcast, just register as a guest on the link below, and I'll be in touch. Come on the show! If you like what we're doing on the Hiking Radio Network, and want to see our shows continue, please consider supporting us with either a one-off or monthly donation. You'll find the donate button on each Hiking Radio Network page at Hiking Radio Network . Additionally, you can join our membership at Steve (Mighty Blue) Adams. It's worth checking out what is on offer for you there. If you prefer NOT to use PayPal, you can now support us via check by mailing it to Mighty Blue Publishing, 3821 Milflores Drive, Sun City Center, FL 33573. Any support is gratefully received. Additionally, you can "Zelle" me a donation to steve@hikingradionetwork.com. Or "Venmo" me at @‌Steve-Adams-105. They both work! If you'd like to take advantage of my book offer (all three of my printed hiking books–with a personal message and signed by me–for $31, including postage to the United States) send a check payable to Mighty Blue Publishing at the address just above.

One of New Hampshire's strangest graves hides an unforgettable story. Jeff Belanger and Ray Auger travel to Washington, New Hampshire, to uncover the bizarre legend of Captain Samuel Jones, whose unusual final resting place has puzzled visitors for more than two centuries. History, folklore, and a delightfully odd mystery collide in this unforgettable New England legend. Capt. Jones Grave - A New England Legends Podcast Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What does a punk rock concert full of sneering nihilists have to do with the oldest question about how to live? In this lecture, the final numbers of a long tour, Jordan Peterson begins somewhere unexpected: a Ramones show decades ago, where a room full of people who claimed life was meaningless could not stop moving to the music. That contradiction becomes a thread he pulls until something enormous comes loose, a case that the meaning you insist isn't there is woven into the way you perceive, the way you listen, and the aim you set without realizing you have set it. Along the way he takes apart the fantasy of a life without struggle, asks why a seventy-year-old man asleep in comfort is the least enviable figure in the Bible, and arrives, in the quietest moment of the night, at a piece of advice about love so simple and so practical that you will wonder why no one ever told you. What begins with a joke about slam dancing ends with a question you answer every time you decide what to look for. This lecture was recorded on February 5th, 2024 in Manchester, New Hampshire. Use code JBPESSAY for 40% off Essay or click here: https://essay.app/?promo=JBPESSAY Unlock the ad-free experience of The Jordan B. Peterson Podcast and dive into exclusive bonus content on DailyWire+. Start watching now: http://dwpluspeterson.com/yt ALL LINKS: https://feedlink.io/jordanbpeterson // LINKS // Peterson Academy https://petersonacademy.com Books - https://www.jordanbpeterson.com/books/ Learn more about your ad choices. Visit podcastchoices.com/adchoices