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Medal of Honor: Tibor Rubin – Korean War. AI – this was a critical 4 year period for the Democrats. If Dome won the election, they were going to control it. Obama says ignore materialism, people want morality and togetherness. Listen when the head commie speaks. Was Iran one of the greatest political miscalculations of all time? We don’t know the result yet. Taco bell splurge. Backing into parking spots. Always prepare for a quick exit. Don’t talk about L’s in an election year.Follow The Jesse Kelly Show on YouTube: https://www.youtube.com/@TheJesseKellyShowSee omnystudio.com/listener for privacy information.
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As heavy fighting resumes between a coalition of armed opposition forces and Ethiopia's federal government, the country's army commander has accused Sudan and Eritrea of backing the rebel groups. Sudan has denied the claimes and described them as baseless. In Tigray, where a deadly war ended in 2022, the regional state broadcaster, Tigray TV went off air on Sunday. Privately-owned news outlet Zara Media Network reported that the station was hit by a drone strike by the federal military. And a new king is set to be crowned in Uganda's Tooro Kingdom on Tuesday, following the death of King Oyo Nyimba Kabamba Iguru Rukidi IV. We hear about the coronation process.Presenter: Nkechi Ogbonna Producers: Keikantse Shumba, Bella Twine and Blessing Aderogba Technical Producer: Jonathan Mwangi Senior Producer: Charles Gitonga Editors: Daniel Dadzie and Maryam Abdalla
Links & ResourcesFollow us on social media for updates: Instagram | YouTubeCheck out our recommended tool: Prop StreamThank you for listening!
You've got three or four things you could put your name on before Christmas. This week, you pick one. This is your CEO Brief for 28 September - 4 October 2026. Chapter 9 of your Operating Year, The Audit. Week five: The Front Foot. This week runs backwards. Venus turns retrograde on Saturday, so the useful work goes at the front: pick it Monday, say it Tuesday, write it down Wednesday, then stop reopening the decision. In this Brief: why "stop everything" isn't my instruction for Venus retrograde, and what happened when I tried doing less in my own business the one-sentence test for choosing what you're backing through Christmas what "say it" actually means, and why you don't need a launch on Tuesday getting price changes and agreements in writing before Venus turns what belongs in your diary on Wednesday, and what doesn't why the sharp Friday email stays in drafts what to do when something suddenly feels urgent over the weekend your capacity instructions + Four of Pentacles for the week THE WEEK AT A GLANCE Monday · PICK IT Tuesday · SAY IT Wednesday · WRITE IT DOWN Thursday · DO IT Friday · PROTECT IT Weekend · LEAVE IT Mentioned in this episode: September Kit: · exact transit times below · Profitable Black Friday: Birth Chart Edition Profitable Black Friday: Birth Chart Edition Live Friday 9 October at 11am UK · £47 Decide what you'll sell, how you'll deliver it, what you'll charge, how you'll promote it and when it all happens.
The Democratic Party appears to be changing its tune on transgender athletes competing in women's sports.Politicians including Gavin Newsom, Pete Buttigieg, and James Talarico have recently used the language of fairness and safety when discussing women's sports. That represents a significant change from the rhetoric surrounding transgender rights and school sports during the Obama and Biden years.But is this a genuine change in conviction, or is it a political retreat?In this episode, I look at the history of the Democratic position on transgender issues, the growing public resistance to males competing in women's sports, and the political calculations surrounding the issue. I also examine the difference between voters motivated by deeply held convictions and voters who simply do not want political policies to produce consequences in their own families and communities.The larger question is whether the Democratic retreat represents a change in principle or simply a strategic pause until the political environment changes.Finally, I discuss why arguments about fairness and public opinion are not enough. If our understanding of men and women is ultimately grounded in God's created order, then political arguments cannot simply rest on whatever happens to be popular at a particular moment.00:00 Democrats and the Trans Sports Reversal02:18 Is This a Genuine Change of Heart?04:26 The Gender Debate and the Nature Argument07:20 Remembering the Biden and Obama Years09:24 Why Democrats Are Changing Their Message10:30 The Polling Problem for Transgender Sports12:30 Convictional Voters vs. Convenience Voters15:42 What Democrats Have Learned From the Backlash18:05 Why “Fairness” Is Their New Argument23:48 God's Rights, Nature, and the Foundation of SocietyJon's Music: jonharristunes.comTo Support the Podcast: https://www.jonharrismedia.com/support/Become a Patronhttps://www.patreon.com/jonharrispodcastSubstack: https://substack.com/@jonharris Follow Jon on Twitter: https://twitter.com/jonharris1989Follow Jon on Facebook: https://www.facebook.com/jonharris1989/Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
What happens to a customer's words between the research readout and the campaign launch? Usually they survive in meaning and die in language. Every review cycle sands off a little more of the emotion that made the insight worth having, until the market no longer recognizes itself in what comes back.In this episode of The Trending Communicator, Dan Nestle welcomes back Dr. Matt Wilkinson, founder and CEO of Strivenn and author of The Buyer in the Loop. Matt's answer is the grounded synthetic customer: an AI representation built from a company's own interviews, CRM data, sales transcripts, and social listening that stays with the work from inception to launch and can trace every recommendation back to the evidence behind it.From there, the conversation turns to why an "act as" prompt can't stand in for real customer knowledge, and to the book cover Matt tested on a synthetic panel and on LinkedIn at the same time. Matt is candid about where synthetic customers stumble, with a Montblanc pen and New Coke along the way, and he closes with how communicators can build personas for investors and even the lobby groups working against them. He also makes the case that all of this should send teams back to their real customers more often.Listen in and hear about...Why organizational gravity can't be fixed one department at a timeThe difference between a one-page persona, an "act as" prompt, and a grounded synthetic customerHow a synthetic panel and a LinkedIn poll split the same way on three book covers, then agreed on a fourthWhy the half-life of customer research is shrinking in the era of zero-click searchWhere synthetic customers break down, from temporal drift to pricing and emotionHow communicators can model investors, stakeholders, and opposition groups before a message goes outNotable Quotes from Matt"The ability to create stuff, everybody has it now, but the ability to understand your customer is one of the few things that really sets us apart." - Dr. Matt Wilkinson [06:05 → 06:54]"Does the customer really care that you've been in business 20 years? Yes, they want a reliable partner to work with, but actually they probably want to know, what have you actually done for the industry? What have you changed? What problems have you solved?" - Dr. Matt Wilkinson [13:20 → 13:52]"The thing about the grounding is it's twofold. One, that it is grounded in evidence, but secondly, it's grounded in your evidence. And that's where the real moat comes in." - Dr. Matt Wilkinson [29:53 → 30:33]"It gives marketers the ability to start pointing at evidence rather than their gut feelings, because gut feelings are really hard to defend." - Dr. Matt Wilkinson [31:22 → 32:03]"Why would you spend five, six, seven figures on customer insight when all you're going to do is turn it into a report, share it, have a couple of meetings about it and then forget it?" - Dr. Matt Wilkinson [44:05 → 44:24]"People spend hundreds of dollars on buying a Montblanc pen. It performs the same service as a Bic Biro that maybe costs a dollar... The difference is how it makes you feel and how other people might perceive you using it." - Dr. Matt Wilkinson [47:39 → 49:27]Resources and LinksDr. Matt WilkinsonStrivenndrmattwilkinson.aiLinkedInThe Buyer in the Loop: How Synthetic Customers Stop Your Buyer Disappearing Between Research and MarketMentioned in this episodeYou're the Top of the AI Sandwich - with Brian Piper and Matt WilkinsonJim MacLeod, designer of the book coverTimestamps[00:00] Why many hands make flat work in comms and marketing[02:54] Matt returns to the show[04:24] The fireworks lecture that doubled undergraduate chemistry recruitment[06:05] When anyone can create, understanding the customer is the edge[07:18] Research-backed messaging that falls flat in the market[09:13] Organizational gravity as a force of nature, not a department problem[10:20] Naming the problem, and why good strategy stalls inside the organization[10:58] Building synthetic customers from everything you know about your buyers[12:20] Carrying the customer from inception to launch, and weighing legal's edits[13:20] The heritage line: what customers actually want to hear about longevity[17:27] Why "act as" prompts fall short[18:56] The persona spectrum, from one-page profiles to grounded synthetic customers[20:35] The persona workshop flip charts nobody ever sees again[22:24] Using AI to build customer archetypes from data[25:46] Backing up messaging decisions with 30 qualitative interviews[28:34] What "grounded" means, and why it's a moat[32:30] Testing the book cover on a synthetic panel and on LinkedIn[39:48] Organizational gravity as Steven Pressfield's resistance[40:49] Grounding as onboarding for AI models[43:13] Zero-click search and the shrinking half-life of customer research[46:15] Where synthetic customers break: temporal drift and knowledge gaps[47:39] Why synthetic customers struggle with pricing[52:28] Can synthetic personas model emotion? New Coke and asking the wrong questions[57:02] Where communicators start: investors, stakeholders, and lobby groups as personas[59:00] Wrap-up About The Trending CommunicatorThe Trending Communicator is a podcast about the future of communications and marketing, hosted by Dan Nestle. Each episode is a conversation with a communicator, marketer, author, or technologist about how the work is changing and what that means for the people doing it. The show launched in 2020 as The Dan Nestle Show and has published more than 150 episodes.About the HostDan Nestle (Daniel Nestle) is a communications strategist with more than 25 years of experience, including 16 years in Japan. He is co-founder and Chief Product & Intelligence Officer of Lilypath, the company behind the patent-pending Authority Intelligence™ platform, and founder and Chief Curiosity Officer of Inquisitive Communications, a strategic advisory practice. He received the 2022 Arthur W. Page Society Page Up Innovation Award, was named a PRWeek Dashboard 25 AI Pioneer in 2023 and 2024, and was named one of Propel's 100 Most Influential PR Tech Leaders Worldwide in 2025.Connect with DanThe Trending Communicator: https://trendingcommunicator.comSubstack: https://trendingcommunicator.substack.comLinkedIn: https://linkedin.com/in/nestleLilypath: https://lilypath.comInquisitive Communications: https://be-inquisitive.comInstagram: https://instagram.com/trendingcommunicator Show notes for The Trending Communicator are co-created by Human Dan, Claude, and Fireflies. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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It's Q&A time! We're back, answering YOUR burning questions!You're dating a guy but can't tell if the pit in your stomach is dread or butterflies... is it your anxiety or the infamous Ick? You regret agreeing to being your childhood friend's Maid Of Honor. Is it ever OK to back out of the role? You're a devoted daughter but your dreams extend beyond your duty. Between the crushing guilt and the desire to break free, which one wins? You're a mom of two young men and worry about their dating prospects—Shandy weighs in on your worries! Finally, you're married with kids but find yourself enjoying flirty banter with a co-worker. Is a workplace crush harmless fun or playing with fire? Come join us in our living room for good conversation and the Shandy take!Interested in getting the Shandy take but don't want to appear on the podcast? Email dearshandy@gmail.com for information about Shandy Off The Record sessions.A special thank you to our sponsors...- Go to https://squarespace.com and use code SHANDY for 10% off your first website or domain!- Go to https://factormeals.com and use code SHANDY50OFF for 50% off your first box plus one free breakfast item per box for one year!- Go to https://revolve.com/SHANDY and use code SHANDY for 15% off your first order!Time Stamps:0:00 - Housekeeping4:50 - Q1: Is It My Anxiety Or Am I Just Not That Into Him?12:56 - Q2: I Regret Agreeing To Be My Friend's Maid Of Honor—Can I Back Out?38:36 - Q3: I'm Living The Life My Dad Wants For Me—How Do I Break Free?52:47 - Q4: I'm Worried My Sons' Girlfriends Aren't Right For Them—Shandy's Thoughts?1:07:43 - Q5: I'm Married With Kids, But… Can I Still Flirt At Work?If you have a relationship question, write us at: dearshandy@gmail.comSubscribe and watch the episodes on YouTube! https://bit.ly/SubscribeDearShandyFollow us!Dear Shandy - https://www.instagram.com/dearshandySharleen Joynt - https://www.instagram.com/sharleenjoyntAndy Levine - https://www.instagram.com/machinelevineSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
3AW footy commentator Bruce Eva joined 4BC to preview the huge Grand Final showdown between the Brisbane Lions and Fremantle Dockers at the MCG. See omnystudio.com/listener for privacy information.
Moldova is an Eastern European nation of almost three million people nestled between NATO member Romania and Ukraine. It has become a stage for Russian interference and drone incursions. Moldovan Prime Minister Vasile Tofan spoke with Nick Schifrin about Russia's attempts to sway the former Soviet republic back into its orbit, and the government's current efforts to move closer to the West. PBS News is supported by - https://www.pbs.org/newshour/about/funders. Hosted on Acast. See acast.com/privacy
Rigged Game - Blackjack, Card Counting, Slots, Casinos, poker and Advantage Play Podcast
That's it, I'm giving up on this one. Backing myself off of an unprofitable casino.
Small Cap Breaking News You Can't Miss!Here's a quick rundown of the latest updates from standout small-cap companies making big moves today:BacTech Environmental Corp. (CSE: BAC) (OTCQB: BCCEF)BacTech, a leader in commercial bioleaching for the circular economy, announced it will attend the Centurion One Capital 4th Annual Bahamas Summit. The event places the company in front of institutional investors as it advances its bacteria-based approach to recovering valuable metals while stabilizing hazardous elements. The summit is a visibility catalyst for a company positioning itself in metals recovery and environmental remediation.SAGA Metals Corp. (TSXV: SAGA) (OTCQX: SAGMF) (FSE: 20H)SAGA reported a standout result at its Radar Titanium-Vanadium-Iron project in Labrador, cutting 485.4 metres at 32.21% Fe2O3, 5.30% TiO2 and 0.191% V2O5, including a higher-grade 56.8 metres at 49.56% Fe2O3, 8.17% TiO2 and 0.339% V2O5. The intercepts come from its maiden Mineral Resource Estimate program at the Trapper Zone. The scale and grade underscore the project's potential as a North American source of titanium and vanadium.Phenom Resources Corp. (TSXV: PHNM) (OTCQX: PHNMF) (FSE: 1PY0)An affiliate of major miner SSR Mining exercised its right to acquire a 15% interest in Phenom's Dobbin Project for US$4 million, forming a joint venture through a newly incorporated Nevada LLC with subsidiary Copper One. The deal validates the project's copper potential and brings in a well-capitalized partner. Backing from an established producer is a meaningful de-risking event for a junior explorer.NexGold Mining Corp. (TSXV: NEXG) (OTCQX: NXGCF)NexGold released further diamond drilling results from its Goliath Gold Complex in Ontario, intersecting 14.07 g/t gold over 7.0 metres, 9.76 g/t over 8.0 metres and 2.84 g/t over 13.0 metres at the Goldlund deposit. The high-grade hits come as roughly 31,971 metres of an expanded 35,000-metre program are complete. Continued high-grade continuity supports the resource-growth story ahead of further development work.Avanti Gold Corp. (CSE: AGC) (FSE: X370) (OTCQB: AVTGF)Avanti closed a bought deal private placement of 103,500,000 units at $0.50 for gross proceeds of C$51,750,000, including full exercise of the over-allotment option. The financing, led by SCP Resource Finance with BMO and Haywood, positions the company to fund a large planned drill campaign. A fully funded, large-scale program gives investors a clear catalyst pipeline.NexMetals Mining Corp. (TSXV: NEXM) (NASDAQ: NEXM)NexMetals reported 7.55 metres grading 6.48% copper-equivalent (2.70% Cu and 1.83% Ni) from drill hole SMD-26-219 at its Selebi Main deposit in Botswana, plus a new visual intercept in SMD-26-217. The results extend the high-grade trend to approximately 1.5 kilometres. Growing high-grade copper-nickel mineralization strengthens the case for redevelopment of the historic Selebi asset.Legacy Gold Mines Ltd. (TSXV: LEGY)Legacy Gold hit 3.7 g/t gold over 41 feet (12.5 m) near surface, including 15.1 g/t over 6.7 feet, plus four additional mineralized zones at its Baner project in Idaho County, Idaho. The near-surface grades point to potential open-pit ounces, and multiple mineralized zones in a single hole expand the exploration upside at Baner.Quantum eMotion Corp. (NYSE American: QNC) (TSXV: QNC) (FSE: 34Q0)Quantum eMotion's recently acquired subsidiary SKV Technology received a Notice of Allowance from the U.S. Patent and Trademark Office for its SecureKey technology. The allowance strengthens the company's intellectual-property position in quantum-secure cybersecurity and can support future commercialization and licensing opportunities.Bottom Line: Today's small-cap moves were led by high-grade drill results in gold, copper and critical minerals, major financings, and validating partnerships and clinical and IP milestones across mining, biotech and technology.
9/22/26 - On Campus, Is Jalen Duren backing down Trajan Langdon? Two Grand Slam, Dan Campbell
7:00 HOUR: Is Jalen Duren backing down Trajan Langdon? Two Grand Slam
The Pistons and Duren are reportedly at an impasse with a 5-year, $200M offer on the table
Send us Fan MailWhat do you do when a football trading strategy keeps losing?In this podcast, I take a Lay The Away Team strategy, backtest it properly, and find out that the numbers just do not stack up.But instead of stopping there...I flipped the idea.Rather than laying the away team, I tested backing the away team instead.And that changed everything.In this episode, we look at: How the original Lay Away Team strategy performed Why the backtest showed it was not worth trading What happened when I reversed the idea The profit and ROI from backing the away team Strike rate and average odds Winning and losing runs Which filters made the biggest difference Whether the new version is worth forward testing This is exactly why backtesting matters.Sometimes it saves you from trading a bad strategy.And sometimes a losing idea points you towards a much better one.If you want to test your own football trading strategies before risking real money, check out the Betfair Trading Community football backtesting software.Support the showSign up here: https://checkout.lightspeedstats.com/lightspeed-stats-football-stats/Twitter: @BetfairTCWebsite: https://betfairtradingcommunity.com/en/Facebook: https://www.facebook.com/betfairtradingcommunity
Panic time for Lions fans?
Phil Hellmuth wanted bracelet No. 18.Darren Rabinowitz wanted him to call it off on the turn.He was dying to say, “If you call, it's all over, baby.” Instead, he kept his mouth shut and let Phil make the decision.Darren got the bracelet.Not bad for a guy whose plan was to spend one month in Vegas, then move back in with his parents and find a job.That was in 2012.His girlfriend had dumped him. She lived in the apartment next door. She already had a new boyfriend. And his job at Bank of America wasn't giving him much reason to stick around.So he quit, found a free room in a UNLV fraternity house, and started grinding single-table satellites.The move back to Seattle never happened.Eventually, he upgraded to a $600-a-month apartment with scorpions and cockroaches. Found friends who were better at poker. Got backed. Made the Aussie Millions final table. Spent years figuring out how to keep doing this for a living.Then came the summer he knocked Daniel Negreanu out of the Main Event and beat Hellmuth heads-up for his second WSOP bracelet.In this episode of The Table 1 Podcast, Darren joins Art Parmann and Justin Young to talk through the whole ride:♠️ Three teenage grinders, two computer chairs, and a race to avoid the milk crate♥️ Flunking freshman year, fraternity poker, and leaving the bank job♦️ How a Lock Poker satellite introduced him to the backer who changed his career♣️ The Aussie Millions final table where he was too intimidated to ask for a chop♠️ Backing deals, makeup, and what better poker friends actually teach you♥️ The WSOP.com grind, “Avocado Toast,” and his very active block button♦️ Winning at Planet Hollywood while his empty seat cashed at Wynn♣️ Saving Justin from blinding out of a tournament he forgot to show up for♠️ The cameras, the rail, and the heads-up battle to deny Hellmuth No. 18And after what he calls the coolest moment of his poker life?He showed up for a $1,600 tournament the next day.“I play poker. Like, that's what I do.”
Defensive behaviour often appears when someone experiences feedback or criticism as a threat. They may justify their actions, change their tone or push back in an attempt to make the uncomfortable conversation go away. In this episode, Ben explains why simply backing off can reward defensiveness and leave important problems unresolved. He shares practical ways to continue the conversation: be helpful, ask for the other person's view, avoid surprising them with criticism in public, identify a shared goal and, when necessary, describe the behaviour you have observed directly without applying a judgemental label. Key points Defensiveness is often a response to a perceived threat. Backing away every time someone becomes defensive can reward the behaviour and weaken accountability. Position yourself as helpful by asking what support the person needs. Ask for their opinion because there may be important context you do not yet understand. Give sensitive feedback privately and avoid putting people on the spot in public. Focus the conversation on a shared positive outcome. If other approaches do not work, describe the specific behaviour you observed and ask what is happening. Avoid simply labelling someone as defensive; observable behaviour is less judgemental and harder to dispute. Key takeaway You can reduce defensiveness without abandoning accountability by lowering the sense of threat, seeking the person's perspective and keeping the conversation focused on support and shared outcomes. Leave a comment! What has worked best for you when dealing with defensive behaviour, and what approaches have not worked so well?
Let's talk about Trump,confidence, 5K checks, and why the GOP isn't backing him....
Republican revolt. A GOP representative cuts an ad telling Trump voters don't trust him, Karl Rove says he's voting Democrat, and a former GOP governor announces he is backing a Democrat for Senate. Plus, new details about a 40-minute phone call between Patriots owner Robert Kraft and singer Ed Sheeran before Macklemore was pulled from the tour. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Live from the Greenville Downtown Airport, Joey Hudson breaks down the massive turnout for Law Enforcement Appreciation Day on The Tara Show! Over 700 officers across Greenville County are receiving hot Chick-fil-A breakfasts, coffee, Southern Tide merch, and packed valor bags! Plus, we highlight LEAD Upstate's crucial "Stay With Me" initiative—a program providing free year-round mental health counseling for officers and their families to combat career trauma and burnout. Learn how you can get involved and support these local heroes!
Turnbuckle Tavern is powered by G FUEL and Official Dick Lazer. Use code TAVERN for 20% off at GFUEL.com and DickLazers.com. Episode 215 of Wrestling Tonight begins with the increasingly strange situation surrounding WWE and AAA Worlds Collide, which takes place September 26 in the Chicago market on the same night as AEW All Out. Fightful Select reported that WWE did not have broadcast plans listed internally as of Wednesday, despite a card featuring CM Punk, Rey Mysterio, Penta, Rey Fenix, Dominik Mysterio, Roxanne Perez and talent from WWE, NXT and AAA. That raises a bigger question than simply where the show can be watched. WWE created all the optics of direct counterprogramming by running the Allstate Arena while AEW runs All Out at the NOW Arena, yet nine days before the event there still isn't a confirmed live broadcast. We discuss whether WWE could potentially be reducing the scope of the head-to-head, while making clear there has been no reporting that WWE changed its plans because of AEW. There is also speculation that Worlds Collide footage could eventually surface on Club WWE, similar to the Stephanie Vaquer vs. Liv Morgan title match. Nothing has been confirmed, but if WWE ultimately uses Worlds Collide as exclusive or delayed content, it creates a completely different discussion about what WWE wants this event to accomplish. Is September 26 primarily about competing with AEW in Chicago, or could WWE see greater value in using desirable crossover content to make Club WWE more important? We look at that potential tradeoff and why the eventual distribution decision could completely change how this event is viewed. Elsewhere, Maple Leaf Pro Wrestling has a new Women's Champion. Priscilla Kelly defeated Gisele Shaw to end Shaw's reign of more than a year, with the title change airing only days after Shaw's exclusive NWA contract was announced. Shaw is already the NWA Women's Television Champion and has identified the NWA Women's World Championship as her next goal, while Priscilla Kelly immediately moves into a prominent position for MLP and will defend against Nikki Storm at Northern Rising on October 3. AEW All Out continues to take shape with Kazuchika Okada defending the AEW International Championship against Tommaso Ciampa in a fresh Psycho Killer vs. Rainmaker matchup. Rather than allowing Tommaso Ciampa to float around the roster after his arrival, AEW is immediately putting him opposite Kazuchika Okada in exactly the type of matchup that demonstrates the value of adding another experienced wrestler to an already deep roster. Hangman Page, Bandido and Brody King have also earned an AEW Trios Championship opportunity, but they won't know their opponents until Swerve Strickland and The New Level defend against The Demand on the final Dynamite before All Out. Darby Allin and Steven Borden will face Kyle Fletcher and Kevin Knight in an eliminator to determine the next challengers for whoever leaves Chicago with the AEW World Tag Team Championships. We discuss why AEW having championship stories moving both into and beyond All Out makes the surrounding television matter. Will Ospreay vs. Jon Moxley headlines an increasingly loaded Chicago card, while Adam Copeland and Christian Cage defend against FTR and The Young Bucks in a three-way ladder match, and Brawling Birds defend the AEW Women's Tag Team Championships against Divine Dominion in a Chicago Street Fight. The Dusty Rhodes Tag Team Classic is also officially returning after a two-year absence, this time with an expanded 14-team field featuring talent from NXT, AAA, Evolve, Raw and SmackDown. NXT Tag Team Champions Vanity Project, Brad Baylor and Ricky Smokes, and AAA Tag Team Champions El Hijo de Dr. Wagner Jr. and Galeno have been confirmed and will receive first-round byes, while Julius Creed and Brutus Creed are also officially part of the tournament. We look at why the cross-brand format gives WWE an opportunity to make this Dusty Classic feel different from previous versions and why the eventual bracket needs to take advantage of the talent available. With eleven teams still to be announced, WWE has enough room to create genuinely different matchups rather than making this another mostly NXT tournament with a handful of outside appearances. NXT also has a new number one contender as Mason Rook defeated Tony D'Angelo and Saquon Shugars to earn the next shot at NXT Champion Grayson Waller. Tristan Angels pulled the referee out of the ring during a Saquon Shugars nearfall before Tony D'Angelo's back gave out while attempting Dead to Rights, allowing Mason Rook to capitalize with a top-rope splash and secure the victory. Grayson Waller confronted Mason Rook to close NXT, setting the stage for the next championship program. We discuss why the physical contrast gives NXT a simple story to work with and why Mason Rook doesn't need to become Grayson Waller's equal on the microphone. He needs to become the massive problem standing between Grayson Waller and keeping his championship. Because Mason Rook is big, he's bad, and he'll body slam your dad. Plus, we look ahead to another loaded week across wrestling as the Dusty Rhodes Tag Team Classic begins on NXT, Swerve Strickland and The New Level defend the AEW Trios Championships against The Demand on Dynamite, Moose puts his career on the line against Frankie Kazarian on TNA Impact, Money in the Bank qualifying continues on SmackDown and Andrade El Idolo defends the AEW National Championship against Daniel Garcia on Collision. We also preview the major events coming up on the calendar, including AEW All Out and WWE & AAA Worlds Collide on September 26, NJPW Destruction in Kobe on September 27, WWE Money in the Bank on October 10, TNA Bound for Glory on October 11, CMLL/RevPro FantasticaMania UK and AEW WrestleDream on October 17, AAA Heroes Inmortales on October 24 and NXT Halloween Havoc on October 31. Episode 215 covers a week where the biggest story might be an event we still don't know how we're watching. WWE spent months creating the perception of a fight with AEW on September 26, but the lack of a confirmed Worlds Collide live broadcast raises legitimate questions about what WWE actually wants the event to accomplish. Add a loaded All Out card, Tommaso Ciampa going directly after Kazuchika Okada, Priscilla Kelly becoming MLP Women's Champion, the return of the Dusty Rhodes Tag Team Classic and Mason Rook emerging as Grayson Waller's next challenger, and there is plenty to break down across WWE, AEW, NXT, MLP and the rest of the wrestling world.
It's the day after the night before and the VAR farce that has the whole footballing world talking. John Obi Mikel believes the ‘game is gone', and he might not be wrong. From clueless refereeing officials to Michael Oliver's arrogance to throw-in rules that make no sense, the guys cover it all.Mikel also believes Chelsea are on the right track despite shipping another two goals in their draw with Hull City, and explains why he'd rather be in Xabi Alonso's shoes right now than Roberto De Zerbi's.Martin Odegaard gets his flowers while Mikel also calls on a couple of Nigerian legends to step up. Enough with words, it's time for action as the crisis engulfing Nigerian football gets worse.
AIUC first got our attention with the NFDG backing, and have just announced a $40M series A today, with the most impressive industry advisor list we may have ever seen for an early startup behind AIUC-1, their agent standard backed by real insurance:From being Anthropic's first product hire to building the standards, testing, and insurance infrastructure meant to make frontier AI deployable, Rune Kvist is betting that the biggest constraint on AI adoption won't be capability it will be trust. In this episode, the AIUC cofounder joins swyx and Vibhu to announce a new $40M round and explain why companies like Cursor, Harvey, Lovable, and ElevenLabs are increasingly confronting a problem that gets harder as AI gets better: who is responsible when autonomous systems fail?We go deep on AIUC-1, the emerging standard for agent security, safety, and reliability; how AI agents are stress-tested for jailbreaks, hallucinations, and data leaks; and why Rune thinks standards and insurance could become critical infrastructure for AI. We also discuss the growing trust gap between governments and frontier labs, AI-enabled cyber and biological risks, why every model can ultimately be jailbroken, what happens when a $20 coding agent causes $200M of damage, whether AI engineers should be certified, and why even after AGI there may be one job the labs can never do themselves: be their own watchdog.We discuss:* Why risk, liability, and trust may become the binding constraint on AI adoption* Rune's path from reading the Scaling Laws paper to joining Anthropic in its earliest days* What Anthropic understood about scaling, compute, and the future years before it became obvious* Why Waymo illustrates the gap between AI capability and real-world deployment* AIUC's $40M round and work with Cursor, Harvey, Lovable, ElevenLabs, and other frontier AI companies* AIUC-1: a standard for AI agent security, safety, and reliability* How agents are tested for jailbreaks, hallucinations, and data leakage* Why most AI companies optimize the happy path without seriously stress-testing adversarial cases* Why AI standards may need to update every quarter instead of every decade* The emerging trust gap between frontier AI labs and governments* Cybersecurity, child safety, biological weapons, and the expanding frontier-model risk surface* Why standards and insurance may need to evolve together* How Lloyd's of London can insure AI systems and bring trust to enterprise deployment* What happens if a $20 Cursor subscription contributes to a $200M plane crash* The Air Canada chatbot case and how AI failures are beginning to clarify legal liability* Why copyright may be one of the hardest AI risks to insure* Evals, mechanistic interpretability, monitoring, and models becoming aware they're being tested* The impossible CISO mandate: adopt AI fast, but don't let anything go wrong* Why robotics will make AI liability dramatically more consequential* Whether AI engineers should have Level 1, 2, and 3 certifications* AIUC's roadmap across agents, frontier models, robotics, and universal red teaming* Why AGI could become a question of national sovereignty* Why the labs can never fully serve as their own watchdogs* The Big Short problem: how do you stop competing watchdogs from racing standards to the bottom?Rune Kvist* LinkedIn: https://www.linkedin.com/in/runekvist/* X: https://x.com/RuneKvistAIUC* https://aiuc.comTimestamps00:00:00 AIUC's $40M Round and the Risk Bottleneck for AI00:01:07 From Scaling Laws to Early Anthropic00:07:58 Why Trust, Not Capability, Could Limit AI Adoption00:12:19 Founding AIUC and Building AIUC-100:18:52 How AI Agents Are Audited and Stress-Tested00:25:26 Frontier Models, Government, and the AI Trust Gap00:33:32 Cyber, Child Safety, and AI-Enabled Biological Risk00:38:14 Why Standards and Insurance Belong Together00:41:45 What Does an AI Insurance Policy Actually Cover?00:50:44 The $20 Cursor Subscription and the $200M Plane Crash00:53:53 AI Liability, Monitoring, and Earning Enterprise Trust00:56:21 From AI Agents to Models to Robotics00:58:29 Copyright, Adverse Selection, and AI Insurance01:03:28 Evals, Mechanistic Interpretability, and Eval Awareness01:08:36 The Impossible Enterprise AI Mandate01:11:52 Prediction Markets vs. AI Audits01:14:43 Should AI Engineers Be Certified?01:19:10 AIUC's Roadmap, AGI, and Who Watches the Watchdogs?TranscriptIntroduction: AIUC, the $40M Series A, and Risk as the Adoption BottleneckSwyx [00:00:00]: Okay, we're in the studio with Rune from AIUC, the Artificial Intelligence Underwriting Company, with our trusty co-host, Vibhu. Welcome.Rune Kvist [00:00:10]: Thank you. Thanks for having me. Thank you.Swyx [00:00:11]: What are you announcing today?Rune Kvist [00:00:12]: We have raised $40 million, led by Ribbit Capital and First Harmonic.Swyx [00:00:17]: You first came to my attention when Nat and Daniel invested in you guys. Is the story, like, pretty much the same? Like, what are you today versus what you thought you were back then?Rune Kvist [00:00:26]: When we raised our seed round, we had a hypothesis that at some point risk was going to hold down adoption. At that point in time, that felt kind of hypothetical, and I think that is now over. Clearly, the moment is now with Mythos and Fable. It's pretty obvious that literally the binding constraint on adoption is risk. And so for us, it feels like this is a natural continuation of the same hypothesis, but where previously it was speculation, now it feels like fact.Swyx [00:00:54]: And let's get a list of the customers that you're highlighting as part of your Series A.Rune Kvist [00:00:58]: Totally. Yeah. So we are now working with folks like Cursor, Harvey, Lovable, ElevenLabs.Swyx [00:01:05]: Yeah. Amazing. Congrats.Rune Kvist [00:01:06]: Thank you.Swyx [00:01:07]: So you were famously one of the first hires involved in GTM and product. I'm just kind of curious: what was your path into AI? Just recap.Rune's Path Into AI: Scaling Laws, Capital, and AnthropicRune Kvist [00:01:18]: Yeah.Rune Kvist [00:01:19]: Late 2021, I sold a company, my first company, an edtech company. I had a bit of time to think about what was next. I came across the Scaling Laws paper, and that just struck me like lightning. I was just like, “This is a big idea.” In short, the Scaling Laws paper just says the bigger the model, the smarter the model.Swyx [00:01:38]: So this is the Kaplan one, not the Chinchilla one?Rune Kvist [00:01:40]: Exactly, the Kaplan one.Swyx [00:01:42]: Yeah.Rune Kvist [00:01:42]: And the important thing that clicked for me there was, oh, now capital will understand this. If you put in more money, you get more money out, and so that will kick off a hype cycle. And so you get a sense of predictable returns, which is, in fact, what's played out. And so I just packed my bags. I'd never been to San Francisco. I'd never been there. I just packed my bags, flew out here to find the people who had written it. And at the time, they had just started a small lab called Anthropic. There were around 40 people at the time or so. Drank a bunch of coffee until I eventually got introduced to Dario. And at the time, they were wrestling with some of these questions of, like, should we deploy our models? Should we make revenue? How should we engage with the rest of the world? They'd just broken off from OpenAI, and it's been publicly reported that they were kind of concerned with how they were dealing with deployment. So they were wrestling with some of those questions. At this point, this is early fog of war, like early 2022. The hottest product at the time was, like, Jasper. Like, there's nothing out there. So where value was going to accrue, and what the different parts of the stack were going to be, were all open questions.Swyx [00:02:48]: I want to highlight to people, you ask these questions because you have a PPE background.Rune Kvist [00:02:52]: Yes.Swyx [00:02:52]: I actually was in Singapore in one of the sort of feeder programs for prepping people for PPE. So I had a tutor. We learned, you know, philosophy and politics and economics. But, like, I think your kind of background matters. Machine learning people who read the neural, Scaling Laws paper would not necessarily draw the same conclusions that you did. Whereas any capitalist would read that and go, “Holy s**t.”Rune Kvist [00:03:19]: Correct.Swyx [00:03:20]: Right?Rune Kvist [00:03:21]: Yes.Swyx [00:03:21]: Who tipped you onto that paper? Because it's not a paper that you normally read, right, like, in your circles?Rune Kvist [00:03:26]: Yeah. I think I'd actually, ever since AlphaGo, had some appreciation that AI was a big deal.Swyx [00:03:36]: Yeah.Rune Kvist [00:03:36]: But it kind of felt like it raised all these kind of interesting philosophical questions, but it was kind of not clear from afar where exactly that would go. But it was obvious enough that it was like, this is going to be a big thing if we find the kind of right mechanism to kind of get the techno-capital machine to work on this. But it was just not clear. And so I think there was some way in which, like, that became obvious, and also it wasn't as obvious at the time than it is now, right? Like, it was just like, wow, this is so interesting. But it still felt, coming from kind of a philosophy and economics background, it felt like if this turns out to be true, you're going to be wrestling with all of the big questions in society. Everything you've learned about politics gets thrown out of the window. Everything you've learned about economics at least gets challenged. And so what felt interesting was to be at that frontier that has ramifications across everything. So that's why I sought it out.Swyx [00:04:32]: I mean, clearly really good insight. For people who don't know, the PPE program is, like, where prime ministers are born. So then you end up meeting Dario.Rune Kvist [00:04:41]: Yep. First Dario, yeah.Swyx [00:04:43]: Yeah. Well, I mean, like, so did you get extra insights from talking with them that you didn't get from your original hypothesis?Anthropic's Early Conviction and the Scaling Laws Crystal BallRune Kvist [00:04:50]: If you read the Scaling Laws paper, you get this, like, very vague sketch of like, wow, this seems kind of important. There are some lines on a chart. This seems kind of important. And what I think the team at Anthropic had thought more about than anyone was like, what are the implications of this if you really play this out? And back then they had, kind of vision documents for what the world would look like in 2026, and they were kind of in vivid detail playing out how much compute is going to be needed, what the CapEx was going to look like, what some of the societal concerns were going to be, but also what is the amount of economic value coming out here? And so it kind of felt like they held a crystal ball that in hindsight turned out to just be dramatically correct. And they weren't holding it like they were obviously correct. They were just like, “Take this hypothesis really seriously.”Swyx [00:05:38]: Think it through, yeah.Rune Kvist [00:05:38]: And think it through in the same way as the kind of situational awareness that isSwyx [00:05:43]: Across the street.Rune Kvist [00:05:44]: Across the street.Swyx [00:05:44]: Your office, yeah. Oh my God, we're all living across the street in the same one square mile.Rune Kvist [00:05:50]: Correct. And that's now a couple of years old, but also people keep referencing it these particular weeks with Fable and Mythos, and it's like, wow, if you take this one idea seriously- For the Scaling Laws, a lot of things fall into place.Vibhu [00:06:03]: And keep in mind, at this point, this is the same team that did GPT-1, GPT-2, and GPT-3.Rune Kvist [00:06:08]: Correct.Vibhu [00:06:08]: Which is also, like, it's not just some experimentation. Like, this is a real model that we just scaled up.Rune Kvist [00:06:14]: And they had deep conviction in this idea: if you take a big blob of compute and data, it just wants to learn, and out of that will come smarter and smarter models. And all the particulars were not clear.Vibhu [00:06:26]: Yeah.Rune Kvist [00:06:27]: And all the implications were not clear. But their deep conviction in this, like, core thesis, and that was kind of dizzying. It was both phenomenally interesting and exciting, and also very quickly you get to, like, the world we know today will no longer be if this hypothesis holds. So it also just felt, like, important in some kind of grand sense.Vibhu [00:06:48]: What kind of shaped you there? So that was early 2022. Not only had GPT-1, GPT-2, and GPT-3 come out, but, you know, the amazing founders of Anthropic that have never split up, the only ones, they actually had the conviction to leave OpenAI, start their lab. You said there were about 40 people there. What was the time like there?Inside Early Anthropic: Mission, Deployment, and RiskRune Kvist [00:07:06]: It was kind of remarkably like what it looks like on the outside today. Extremely cohesive, extremely mission-oriented, and living in this tension between their two ideas, which is AI could both go really well and really bad, and we want to be part of building it. That creates astounding amounts of tension. And they were wrestling with this incentive challenge where they know they're in a race that they're in where you might get forced to cut corners, but it also felt very important to them to be at the forefront of technology. And all of those ideas were just present at that time. It kind of feels like that line has been just very clear, and I think kind of love them or hate them, they have really stuck to their guns. There's a core set of beliefs that they hold more deeply than most companies hold any beliefs.Vibhu [00:07:58]: Yeah. Fast-forward to today.Rune Kvist [00:08:00]: Yeah.Vibhu [00:08:00]: What does that lead us to AI underwriting company? What are you up to? What motivated you to start this?From Waymo to AIUC: Confidence Infrastructure for AIRune Kvist [00:08:05]: Yeah. AIUC builds confidence infrastructure for frontier AI through standards and insurance. The link from Anthropic to building confidence infrastructure, looking out the windows at Anthropic offices and seeing Waymos driving by. Already back then, early 2022, Waymos were in some ways like AGI for cars. Like, they were superhuman drivers, but you couldn't take one to the airport. And now, four and a bit years later, you still can't take your Waymo to the airport, despite now everyone having kind of looked at the evidence and being like, “They're better drivers than humans.” So in that particular instance, what's clear is that the binding constraint on AI being useful is not capability, but is that liability or risk or trust. That problem is, general. The reason why right nowRune Kvist [00:08:52]: Fable is not open for access is not because it's not a good model, it's because it's a very good model. It's just hard to make promises about what it will or will not do. And this problem gets worse as AI gets better. Basically, more intelligent AI can be more autonomous. That's more valuable, but also the risk surface grows. And so - what Waymo illustrates is that unless you build the confidence infrastructure to make promises about AI, or at least bring light to the risks, you grind adoption to a halt. Governments, banks, hospitals, militaries need to have some sense of what AI will and will not do to be able to operate for them to incorporate it. And that's the problem that we're trying to solve. Now, why standards and insurance? If you trace this problem back through history, every technology wave has had some version of this problem. So if you go back to, like, year 1900, electricity comesVibhu [00:09:47]: Ben Franklin.Rune Kvist [00:09:48]: Cars burn down, sorry, houses burn down, lots of people die. 1930s, cars are a big deal, kill lots of people. 1950s, private nuclear energy is a big deal, poses big risks. In each of those instances, the market runs ahead of regulation to create confidence infrastructure because that's required to make go/go decisions. That is required for adoption, and the market fundamentally wants adoption. And in all of those instances, common blueprint emerges between standards and insurance. The reason these two components is standards kind of provide the rules of the road, and they also specify, like, what are the tests that need to be run so we can get a sense of how high the risk is. So take in the case of cars, that's like a car crash. Great, everyone, they inform your insurance pricing today, they inform your purchasing decisions, et cetera. That's basically the risk framework. The insurers are important because they pick up the bill. So they are the private institution that is most on the side of. That is best incentivized to quantify the risks truthfully and then figure out all the ways to reduce the risk ‘cause that increases their profit. So they're basically, they help shape the incentives. And these two work really well in unison. Now, how does that show up as a company? Well, one of the things that was obvious even - or starting to become obvious even a couple years ago was that frontier companies, some of our customers today, like Cursor, Sierra, ElevenLabs, Harvey, were going to have a very easy time selling a pilot to a bank. The, like, the demo just sells itself. It's magic. But bringing that through, if you want to do a wall-to-wall rollout at a bank or a hospital, you have to go through the risk process. These banks have no idea even which questions to ask, let alone which answers are sufficient, let alone, like, how do they go and test whether these agents actually work the way they're supposed to. And so they had this problem of, like, what can we say to earn the trust? And we think there's, like, a golden sentence that goes something like, “Hey, I hear you're really worried about hallucinations or jailbreaks or whatever it may be. We've had an independent third party test us against the gold standard. We passed with flying colors. And as a vote of confidence, the world's most conservative insurers have looked at the data.” And they're willing to take some of the risk onto their balance sheet.Swyx [00:12:06]: Yeah.Rune Kvist [00:12:07]: So if something does go wrongSwyx [00:12:07]: There's money behind it, yeah.Rune Kvist [00:12:09]: Exactly. So that's kind of like the link between all this. We can get into some of the hard parts related to the technical testing, which is, I think, the crux of the matter, but I'll pause there.Swyx [00:12:19]: How did you and Rajiv come together? This-- there's always, like, you come across very confident and, you know, and we're announcing your Series A and all these things, but I want to see, like, the early initial stages of, like, idea formation.Cofounding AIUC with Rajiv DattaniRune Kvist [00:12:31]: Yeah. Rajiv is actually my soon-to-be brother-in-law.Swyx [00:12:35]: Oh.Rune Kvist [00:12:36]: So I'm actually, in a week and a half getting married to Rajiv's sister.Swyx [00:12:42]: Okay, now you're tight.Rune Kvist [00:12:44]: Exactly.Swyx [00:12:44]: Now you know.Rune Kvist [00:12:45]: So - Rajiv and I have known each other for a decade. Funny story, I met both Rajiv and his sister, Hena, at the same time when Hena and I were interns at McKinsey in London, and Rajiv was assigned as my mentor. And so met them at the same time. For the longest time, it was not obvious that we were necessarily going to work together. I was in startups. He was, an insurance partner at McKinsey. Three or four years ago, I think Hena convinced him that AI was going to be a really big thing. And so he quit his job, cushy partner job at McKinsey in London, packed his bags, flew to San Francisco, and ended up joining METR. You guys are probably online enoughSwyx [00:13:24]: CEO.Rune Kvist [00:13:24]: Exactly.Swyx [00:13:24]: We've, we've, we've heard of METR.Rune Kvist [00:13:25]: You see the plot-- the chart of the horizons of the tasks that agents can take on is doubling extremely fast. So he was COO at METR, led their partnerships with Anthropic and OpenAI to test their models before release, but also working closely with the US and UK government, to figure out, like, how do you know whether a model can be released? And in some ways, that was, like, the perfect background. He's spent a lot of time in insurance, knows that world, spent a lot of time with frontier testing of models. And so when I was bumbling around this idea space, starting with some of the ideas we talked about related to Waymo, as soon as we got into the content, we were both like, “Oh, this would be an amazing business to build together.” This is wrestling with the problem that we both think is the most important in the world from a market angle, which is kind of our intuitions is that the market can do a lot, and the faster AI moves, the harder it is for government to solve some of these problems. And then it took a little bit of time to work through what is it like to work with family.Swyx [00:14:27]: Sure.Rune Kvist [00:14:27]: And,Swyx [00:14:30]: Because you were already dating at the timeRune Kvist [00:14:31]: Yeah. Yeah, exactly.Swyx [00:14:33]: Yeah.Rune Kvist [00:14:34]: Already back then, itSwyx [00:14:35]: Yeah.Rune Kvist [00:14:35]: We felt like we were a family.Swyx [00:14:36]: Nice.Rune Kvist [00:14:36]: And so starting a business together felt like kind of a big step. And, here we are with just immense amounts of trust.Vibhu [00:14:43]: Yeah. So now you're a company of how big? How big are you guys now?AIUC-1 Certification: Agent Security, Safety, and ReliabilityRune Kvist [00:14:46]: There are just 20 of us now.Vibhu [00:14:47]: 20 of you guys now, have Series A, and you have your first certification out, the AIUC-1. Let's bring up the certification. So this is the agent certification, right? What goes into the process? I have, like, two questions here. One is, walk us through the certification, and two is, what is the process for a company to get certified, you know?Rune Kvist [00:15:08]: Great. As it says right on the top, AIUC-1 is a standard for agent security, safety, and reliability. The fundamental design principle is take all of the concerns that slow down adoption, so all the questions, all the fears that keep, security leaders in the Fortune 1000 up at night, and put them into one comprehensive framework. That's what you'll see there. You can see the six categories. Two, you want to ground all of this in technical testing. So one of the concerns with security standards that often feel kind of like theater paperwork is that they're not actually ground out in, does any of this work? Does any of this matter? And so we had a conviction from early on that was going to be the kind of crux, was to pass this, you must get tested every quarter, basically run thousands of simulations to see, well, so can it actually be jailbroken? How hard is it to jailbreak? How often does it hallucinate? How often does it leak data? Et cetera. And then the last, core idea here, if you scroll up to the top here, is to refresh it quarterly.Rune Kvist [00:16:08]: So the core trait of AI is that it moves extremely fast. Whatever concerns we're discussing today were not the same ones three months ago, and this will keep changing. Typically, standards update on a, like, a decade cycle is obviously not going to work. But the question is kind of how do you update it? And the core thing here was to basically get the risk leaders of the Fortune 1000 around the table. So if you go over to the left hereVibhu [00:16:32]: YeahRune Kvist [00:16:32]: You'll see the AIUC-1 consortium. The consortium is a group of risk leaders who run real banks, real hospitals, real critical infrastructure, who are facing these challenges every day. And we meet with these folks twice a quarter and hear what's top of mind, what is keeping them up at night. There's tremendous amount of desire for that conversation. And then we operationalize that into a specific standard that gets into. And actually, we can go into and look at whatVibhu [00:16:55]: YeahRune Kvist [00:16:55]: What even is the standard. So if we go back to introduction, out there to the left, scroll up a little bit to the wheel, click into reliability. So if you take something like hallucinations sits in reliability. There is a number of requirements here. If you go into the top one, prevent hallucinated outputs, hallucinate outputs, this is one particular requirement. This is a technical control. Basically, we want some kind of ground in this filter. The first thing you see here is what's called a crosswalk. So everyone and their grandmother has put out a framework, very high-level framework for what are the AI risks.Swyx [00:17:27]: This is basically your competition,Rune Kvist [00:17:28]: In some ways our competitionSwyx [00:17:29]: Not seriously, yeah.Rune Kvist [00:17:30]: We're, in fact, friends with them. We'll come back to why.Swyx [00:17:31]: Yeah.Rune Kvist [00:17:32]: But mapping everything together so you have one superset. The claim you're trying to support here is, if you follow this framework, then you can also see how you follow the other frameworks. But the meat of it comes down here in control activities and evidence. So control activities is like, great, you have this high-level requirement. How do you turn that down to something operational? Here's what you must do, and then what is the evidence that we're looking for?Rune Kvist [00:17:57]: And the reason we go this deep is that there's actually not that much confusion about what are the big concerns in AI. Everyone agrees to these. The question, like, what are you actually supposed to do? And so. What we found a lot of demand for is getting down to the specific evidence, that people need to look for. Whether you are Cursor building something or, even JPMorgan building something, but also if you're just a risk leader at JPMorgan, like what exactly should you ask for? What can you ask for without sounding stupid? Like if you ask for some-- you won't believe the amount of time a risk leader has asked for the IP rights to the underlying model to Cursor or something, and you're just like “Sorry, what?” Like,Swyx [00:18:39]: You slip it in there and you seeRune Kvist [00:18:40]: SlipSwyx [00:18:40]: See if you notice.Rune Kvist [00:18:41]: See if they. Exactly.Swyx [00:18:42]: Yeah.Rune Kvist [00:18:42]: Put that in the questionnaire. All right, so that's kind of what our standard is, and we update this every quarter with these folks, to keep up with the latest concerns.Swyx [00:18:51]: Can I double-click on this one?Controls, Evidence, and Third-Party TestingRune Kvist [00:18:52]: Yeah.Swyx [00:18:52]: So first of all, the website's beautiful. Like, it's so confidence-inducing which is the whole point where, like, okay, I know exactly what I'm signing up for when I talk with you. Like, I don't even have to talk to you. I can just see your whole, certification, which is great. But, like, okay, so from here, like D001.1 configure a groundedness filter, how does that get applied? Like, you have a person thatRune Kvist [00:19:16]: Yeah,Swyx [00:19:16]: Goes through it?Rune Kvist [00:19:17]: If you, go backVibhu [00:19:19]: I did see somewhere there's like, you know, fifty-one requirements, a hundred thirty controls. There's like a wholeSwyx [00:19:25]: Right. I just want to. Like, to me, this doesn't translateVibhu [00:19:27]: Yeah.Swyx [00:19:27]: Into a test or an eval.Rune Kvist [00:19:28]: Yes. So if you go into, on the left-hand side. So actually, if - before we go in there are three types of requirements. The first is technical controls, like you must implement some guardrails.Rune Kvist [00:19:42]: Two, there are test controls. So you must have an independent third party go and run some tests against you. I'll show you one of those in a second. And then three, there are policy controls. For example, you must have a person whose name is on the line when you guys f**k up, and you must have a plan for how you tell your customers and how you engage with them. They're kind of more traditional, standard type stuff. So in this particular instance, we just check whether they in fact have a ground in filter. So we will partner with an auditor. So we partner with auditors like KPMG or like Schellman who go in and do the thing auditors do, which is to check the evidence. In this case, that might be a screenshot, it might be part of the code that they need to review to see that it actually. Just that it exists.Swyx [00:20:21]: Oh, okay.Rune Kvist [00:20:22]: And then the second thingSwyx [00:20:22]: So you're not testing the effectiveness of it.Rune Kvist [00:20:24]: That's the second thing. So if you go downSwyx [00:20:25]: Yeah.Rune Kvist [00:20:25]: To the third-party testing for hallucinations out on the left, that's basically the next requirement. This is where we test how well does it actually work.Swyx [00:20:32]: Okay, and is it you testing or the auditor?Rune Kvist [00:20:34]: We test them.Rune Kvist [00:20:35]: We test them.Swyx [00:20:36]: That's a lot of work.Vibhu [00:20:37]: How long does testing take? So if I want to get certified, justCertification Timelines, Remediation, and Quarterly UpdatesRune Kvist [00:20:40]: Yeah.Vibhu [00:20:40]: How long does the end roughly take?Rune Kvist [00:20:42]: Yeah, the end, almost always is dependent on, like, our customers needVibhu [00:20:47]: Yeah.Rune Kvist [00:20:47]: To look something for us. It takes somewhere between, like, 3 to 10 weeksSwyx [00:20:52]: Yeah.Rune Kvist [00:20:52]: Depending on how up to snuff they already are. So some people show up to us with, like, extremely rigorous security programs. When we test them, it works extremely well. We can get that done very quick. Some people come to us, and they're not that far along. We give them kind of the spec that they need to build towards, and then their security teams and engineers get to work and build to meet the standard. The testing itself typically takes a couple of weeks, including the time for them to remediate. Often, we'll find something that we cannot pass, where this is actually just not up to the standard. - you won't pass the standard. And then they will need to go and implement additional safeguards or additional remediation that makes them more robust so that they can actually kind of hand on heart look at their customers in the eyes and say, like, “Hey, we've done truly our very best.”Vibhu [00:21:35]: And they're certified for a year and have quarterly updates?Rune Kvist [00:21:38]: Correct, yeah.Vibhu [00:21:39]: And, yeah, it's pretty interesting. I think, you know, what's changed since. So this is certifying agents in production, right? Your customers, like you've had Lovable, ElevenLabs, Intercom, and they've all gone through this certification.Rune Kvist [00:21:50]: Yes.Vibhu [00:21:51]: What has changed? So I see you post, like, you know, Q2 added MCP agent,How Agent Risks Are Changing: Coding, MCP, and Agent-to-Agent InteractionsRune Kvist [00:21:56]: Yeah.Vibhu [00:21:56]: agent communication. Any other things that you want to kind of highlight since the first iteration? What comes in quarterly?Rune Kvist [00:22:03]: Yeah. So some of the changes have just been agents are not just one thing. So, like, if you take agents like Cursor and compare them to Sierra, they're really quite different. And compare them to Harvey again, compare them to you out of againSwyx [00:22:16]: ElevenLabs, yeah.Rune Kvist [00:22:17]: ElevenLabs, they're all quite different. And so we wanted to design a standard that works for all of the types of agents. And we started with one that was, like, pretty text-based, like, honestly, pretty customer support-focused. That's where there's a lot of existing demand. And then over time, we've picked, some of the frontier companies in each of these other domains that we could work with and build out the standard, so, such that we know that the same standard works for code, it works for customer support, works for automation, et cetera. So that's been one big thing. Yeah, then some of the things that have been top of mind recently, Mythos is bringing up a lot of concerns for security leaders. We're starting to get more and more questions around agent interactions. It's very nascent, at the moment, but it's starting to emerge. There've been a lot of, questions related to OpenClaw and MCP. Again, like agents starting to interact with each other, is really top of mind. Then as coding agents have really taken off, that's also where banks and hospitals, et cetera, are getting more and more precise on what it is they need. So really dialing in as that start to be, like, where most of the tokens flow through in the world, getting much sharper on that.Vibhu [00:23:26]: Can you share for people that are listening that don't really think about this? Like you mentioned, there's the obvious stuff, you know, hallucination, citations. What are best practices that people should do when building agents? Like, if they come to you pretty ready with certification like, you know, they'll probably pass certification. What are the things people don't think about that they should have?Best Practices for Agent Builders: Stress Tests and GuardrailsRune Kvist [00:23:46]: The most important thing is that a lot of companies have not done a serious stress test. They spend most of the time, perhaps rightly so, optimizing for how does it work in the good case, the average case, how high-quality is the output for the customer. And a lot of these companies are pretty new, so they haven't spent a lot of time stress testing the what is there as an adversary on the other side? What are some of the complicated corner cases that you've not really considered? So I think that's, like, a frame of mind. And you'll also see this in startups. It often takes a while until they hire their first security person. They- And that's a whole different kind of risk surface than just building a good product. So a lot of that applies. Most companies actually also have the right kind of architecture. Most of them will have some kind of guardrails in place, either some that come out of the box from their model provider or they'll have built their own filters that sit in between. They just don't work very well. The difference between putting a classifier in place that, like, maybe goes and checks whether you're giving medical advice when you shouldn't and says, “Hey, if this looks like medical advice, filter it out.” Lots of companies have that in place. The question is whether it works. And it's actually pretty fiddly to sit down and think about all the ways in which you could ask for medical advice, read the academic literature on what are the kinds ofRune Kvist [00:25:03]: Framings or tricks you might play to get an AI to give you medical advice when you really shouldn't. And so there's, like, an area of expertise that's just missing. So what we find is that most people have the right building blocks in place. They don'- It doesn'- It's not rocket science, but the finicky thing is, like, getting into the corners and testing whether it works such that you can look your customers in the eye, or maybe a bank or maybe a hospital and be like, “This is going to work for you.”Vibhu [00:25:26]: I see. So we talked a lot about the agent-level certification. Where do you guys go from here? So announcing series A camera, we talked about this a bit. There's the whole security risk of Fable, government stepping in. You guys are kind of announcing that you're also going into model certification?Toward Model Certification: The Government–Lab Trust GapRune Kvist [00:25:46]: When we do a bit of cutting afterwards,Vibhu [00:25:48]: YeahRune Kvist [00:25:48]: We will not yet be announcing this,Vibhu [00:25:49]: NiceRune Kvist [00:25:50]: The question that is top of everyone's minds now is at the model level. And Mythos, then Fable, has really brought this to the fore that in addition to the commercial risk and the kind of economic security risks that are happening at the agent layer, the models are going to present risk in the national security category. The shape of the problem is very similar. You have some people that are on the hook if something goes wrong. In the case of agents, it's often security leaders in the enterprise. In this case, it's the government. They don'- haven't necessarily spent their entire lives thinking about what are the new risks that come here, what is the kind of data you might be looking for, how might you test that? But they do have to make sure that their concerns are addressed. You have some frontier AI companies that are deeply technical. They know a lot about the risks, but they fundamentally have an incentive to not always be truthful. So you have a trust gap between the government and the labs. And in every other industry, you end up with some kind of body sitting between, a neutral third party sitting between those people. There's no other industry where you allow people to audit themselves. So there is going to be a need for a third party that can take the rigor of the labs to run frontier technical evals, but can also speak legible trust in the way that the government trusts PwC to go and run financial audits. And they know that they output audit reports in a way that's consistent, that's easy to read, that's factual, that's, trustworthy. Those two things need to be brought together. And what we've learned from our work with agents is that if you want those-- that communication between those two parties to be smooth, there has to be one common standard that is public, that people can go and inspect. What are the risks that matter? Within each of these risks, what are the kinds of threat models that you're really looking for? You need to specify for each of those risks, what are the guardrails that need to be in place, and what are the tests they need to run to see whether those guardrails are effective? And then you need to go and run audits that are - technical audits that are consistent. So if you're trying to bring trust, it's extremely important that you methodically work your way through the risks. You can't send one researcher in and say, like, “Come back with whatever you find.” You need to be able to explain exactly what you did, exactly what you tried, exactly what you did not try, and therefore the kinds of promises you can and cannot make at the end of it. I think ofNeutral Third Parties, CAISI, and Model Risk AuditsRune Kvist [00:28:13]: Fable as a direct symptom of this problem that the government was told that there's a risk. The government may struggle to assess just how big that risk is. They call Anthropic, and Anthropic is trying to tell them, “Hey, actually, every model can be jailbroken.”Swyx [00:28:28]: That's not what you want to hear, right?Rune Kvist [00:28:32]: As the government, that might be hard to trust.Rune Kvist [00:28:36]: And we think that a broker is the most natural solution. In other markets, you see something like, in financial markets, you see Moody's. Moody's goes in, and they look at a bond, and they output a rating. They say like, “Here's the evidence we found. Here's the rating.” We don't decide whether anyone should buy this bond or not buy this bond. Well, that depends on their risk appetite. But we do provide this common information layer that everyone can rely on. In the case of Moody's, the government, points to them and say, “Hey, pension funds, you should probably really take care. You shouldn't risk your pensioners' money, so you can only invest in triple-A rated bonds.” That means that now the government doesn't have to staff thousands of financial technical experts to rerun forecasts every week to see whether things are correctly rated. They get to point to some neutral third party. So my hypothesis is, my hunch is that you will see a third party that sits between the government and the labs, and it could either be the government builds it themselves. So something like CAISI was set up to do exactly this. And the questionSwyx [00:29:44]: Sorry, I'm not familiar with CAISI.Rune Kvist [00:29:45]: CAISI is the Center for AI Standards and Innovation.Swyx [00:29:49]: Okay.Rune Kvist [00:29:50]: I won't get into the details, but it's a body of NIST that typically sets standards. So it's basically a government body that has AI experts. Yeah, exactly. Exactly.Swyx [00:29:59]: Very key. Very key.Rune Kvist [00:30:00]: Very key.Vibhu [00:30:00]: I think, you know, it's one of those things where when you just sit back and listen-- look at it, like, is there enough technical expertise in the government to measure, test these things right now? Probably not, right? And Fable is a result of, okay, we've had to scale back and pause things,Rune Kvist [00:30:17]: Yeah. And they have excellent people, but they have an extraordinarily small budget compared to the scale of the challenge that's ahead of us. And I think they have a role to play. The question is kind of like, who does what? We have now outlined the jobs to be done, and they're quite extensive. Every model release, there is an astounding-- Given that they take in any input, their risk surface is astounding. And so the question is really: what can only the government do, and what can the market provide here that can keep up with the pace as AI risk changes? Our perspective is that also at the model layer, the risks that people care about today are not the same ones they cared about three months ago. So the pace of legislation is too slow to deal with pinpointing the risks here. And so we think there's a lot that the market can do to surface timely information. Ultimately, there is a bunch of policy decisions here. Is the national security risks of a model too high?Swyx [00:31:12]: Yeah.Rune Kvist [00:31:12]: That's a political answer. But what we want to make sure is that the process that produces this risk information is compatible with very fast innovation. So you don't want to. This is not a question of like, can you slow the things down? Can you keep, the models locked up until-- for months on end until everyone can make a guarantee? But it is this, can you, in the time it. Given that the US is competing with China on releasing models, can you insert risk information that allows the government to, like, make rapid decisions on some of these questions? Balancing that trade-off between failing to adopt AI is going to put us at risk, but also reckless adoption is going to put us at risk. And that's a very kind of fine balance that they're going to need, like, a lot of high-quality intelligence to make.Chinese Models, Data Flows, and National Security ConcernsSwyx [00:31:55]: Just a side mention, because you mentioned Chinese models, any specific concerns that you're hearing from your CISOs about that? ‘cause I guess it's free, but.Rune Kvist [00:32:05]: CISOs have a bunch of concerns around data flows in general that they're really concerned about. So there's a lot of questions like, if these models are Chinese, where does that, where does that data go? I think a lot of this can be addressed, but they come up often.Swyx [00:32:18]: I mean, they understand they're running on American GPUs.Rune Kvist [00:32:21]: Some of them, some of them understand that they're running on American GPUs.Swyx [00:32:23]: They're not, like, phoning home every time you, like, call home.Rune Kvist [00:32:26]: No. A year ago, there was not a lot of understanding of this. I actually think, you're seeing the security leaders becoming kind of AI literate at a blistering pace, and you're actually also seeing my Twitter timeline that's very pilled and my LinkedIn feed that used to not at all be pilled kind of converge. They're both talking about Fable.Swyx [00:32:45]: Right. Yeah, that's true.Rune Kvist [00:32:46]: They are both talking about whether you can prevent models from being jailbroken these days.Swyx [00:32:51]: Yeah.Rune Kvist [00:32:52]: Like national security national security risks are now the conversation that is actually emerging. Other than that, I think you mostly see a kind of general picture: there are no concerns with any particular model or any particular model output, but there is a general nervousness of having critical infrastructure run on models that are not produced in America by Americans where the American government has control.Swyx [00:33:14]: But it doesn't necessarily show up in your framework that directly, or it might, I don't know.Rune Kvist [00:33:18]: There's a bit of stuff in there actually on the, like, the provenance of the models and disclosing that. But I think there's a bunch of use cases where running a Chinese open-source model is just the best solution.Swyx [00:33:27]: Yeah.Rune Kvist [00:33:27]: And a concern is slightly more macro here, which is not best addressed at any particular certification level.Vibhu [00:33:32]: Is there anything interesting that you see at the. You know, if you're trying to fill that middle gap, that mediation gap, any interesting stuff that you guys forecast would be required other than, you know, what the average person might expect?Cyber, Child Safety, Bio Risk, and Expert CoordinationRune Kvist [00:33:47]: There's a bunch of interesting questions about what are the risks that matter here. So right now, the risk of the day is cyber, because it's very real, very tangible. And some of the risks that are also emerging as pretty real and pretty tangible are things like child safety is becoming both extremely important, but also politically important. And then there are some of the risks that are coming down the pipeline that today feel kind of speculative, but people who spend a lot of time with the models see them coming down is things like, risks that relate to biology.Rune Kvist [00:34:18]: And specifically whether models will help adversaries produce biological weapons and making that extremely cheap, extremely accessible, producing-- making the chance of another COVID or worse pandemic. COVID was not engineered to be bad, as if you were trying to do that. So I think those are some of the risks that are coming down the pipeline. I think one other thing to just note is that agents are kind of deliberately narrow. So, like, when a frontier agent company puts a chatbot that interacts with customers, they've really tried to narrow the topics it's interested in talking about. Such that if you ask it, like, “What do you think of the president?” it will just decline, which means that the kind of risk area is somewhat smaller. For models, it is infinite. And so there's not a single expert out there who can competently evaluate the risks of cyberattacks and fifteen-year-olds having month-long conversations with a chatbot and seeing whether it will in fact recommend suicide or something horrendous like that, and can evaluate the risks that terrorists can use AI to produce bioweapons. The risk surface is just too big. And so the central challenge actually becomes how do you get those subject matter experts to work within a one coherent framework that outputs one coherent report and rating that the world can go and inspect? ‘Cause that global perspective is central, but there's not a single organization today that could produce that.Swyx [00:35:47]: And you would be the presumptive one when you put out your model standards.Rune Kvist [00:35:51]: We think there can be one company that can, with a consortium of experts, build one coherent standard. I think we've shown that across all of the enterprise risks today. We think it could be one company that could, with a consortium, specify the audit rules, basically like the inputs and outputs that all these technical experts need. What access do they need? How should they treat infosec- info security? They can look at whether the eval- evals are well-produced without necessarily being able to say, “Hey, is this a threat or not a threat?” But overall, evaluating whether the evals are good, well-constructed, that set of audit rules that basically becomes the interface for all these experts, we think one clearinghouse could put together. To be clear. When I say one company, I think of it as one company coordinating lots of this in the same way that when we saw our consortium, it's not like we say we have all the answers on agent security. What we say is we are taking on the role of eliciting all of the concerns and being the secretary that puts it together and runs a tight house such that the standard updates lockstep every quarter, and that the audit reports that come out, in this case, 100-page audit reports, uniform and crisp and clear all to the level of detail that is required for executives that need to make a clear go/go decision. So that's kind of the role that we think we might play.OWASP, Frameworks, and the Operational Audit LayerSwyx [00:37:11]: I think in many ways you're performing the role that OWASP used to do there, and you said, like, you know, competition and partners.Rune Kvist [00:37:18]: Yeah.Swyx [00:37:19]: Can you go more into, like, how they partner?Rune Kvist [00:37:20]: Yeah. So first of all, OWASP is basically an open source community of security practitioners that are coming together to build frameworks for addressing the latest security concerns. We think they are phenomenal at creating frameworks. We'- In fact, we'- First of all, we're partners with them, so we have a joint article. Two, we've learned a lot from them. We think they're a tremendous source of intelligence. What OWASP does not do is building the machine that runs third-party audits such that a company like Cursor or a company like JPMorgan could get a third party to go and review them against this and say, “Hey, you've passed the standard, and here is the report that you can use to build trust and preempt your partners' or customers' questions.” So they fundamentally try to do something different. You - They are part of the information gathering and intelligence gathering and creating clarity, but the operational layer of turning this into promises is not the business they try to be in.Swyx [00:38:14]: The standard is emerging and is doing very well. Was it necessary to then also do underwriting? Obviously it's in the name, so please remember you thought about it first. I feel like if you just have enough consensus, you don't actually need the money angle, but it does help.Vibhu [00:38:30]: I did want to also note, you guys are a profit company too, right? It's not profit where there's a whole business side to it as well?Why For-Profit Standards and Insurers MatterRune Kvist [00:38:39]: Yeah. Yeah, so I'm just getting crazySwyx [00:38:41]: I think about the money part.Rune Kvist [00:38:42]: Yeah. Yeah, let's get into the money part. Let's start from actually your question, profit versus profit. In the security space today, cybersecurity, most of the standards are produced by nonprofits. I think that's an issue.Rune Kvist [00:39:00]: The question you have to ask yourself is, how do you create good incentives for these standards to be good and keep up?Rune Kvist [00:39:09]: Nonprofits tend to not have these adverse profit incentives where they, hollow out their standard and create a race to the bottom, but they're also not at all responsive by default to the communities that they serve. There's no process-- They don't have customers that they serve where they go and ask, “What do you want? What do you want? What do you want?” And when you look at the overall satisfaction with the security standards today, people tend to just not like them very much. You do see in other domains, that profit standards can serve the world quite well. So there are examples, like we talked about Moody's before. It's not without flaws, but, it is absolutely critical societal infrastructure that gets run at an astounding scale today. Your credit score, it's FICO. It's also a profit business. And when you go back even further in history, some of the crash testing standards came out of insurance companies.Rune Kvist [00:40:06]: The insurance companies together founded the Insurance Institute for Highway Safety because they were very interested in, like, how can we use standards to drive down mortality and save money? Go back, prior-- Our name actually pays homage to the Underwriters Laboratories, UL, which, was started right around when electricity came out. Houses started burning down. Insurers, again, were paying the bill, and they were maybe also good people, but their profit incentive was, let's prevent houses from burning down. Let's test all the electrical products, the light bulbs. All the light bulbs in here are probably tested, the toasters, et cetera. And they set up, an entity to create those standards. Today, UL has a profit entity and a profit entity. What they've recognized, they spun - They started profit. They spun out a profit because what they recognized was like, hey, actually to serve customers well, you need a profit entity. The lesson here is one of the ways that the market can align incentives so you're both responsive to customersRune Kvist [00:41:07]: And not hollowing out your standard over time is to align it with insurers because they fundamentally have good incentives. And so if you're a profit standard that works closely with insurers, you get the feedback loop in such that you're really tuned into your customers, but also have their interest at heart. So that's the model that we - the kind of inspirational model that we've learned a lot from, and that's also where the name comes from. In some ways, the term underwriting can both be associated with insurance, but it's also a broad term for, like, making decisions.Rune Kvist [00:41:40]: If you underwrite a decision, you're fundamentally kind of taking ownership for the consequences of it.AI Insurance Contracts, Lloyd's of London, and ElevenLabsSwyx [00:41:45]: Yeah, I mean, what does an insurance contract look like for AI?Rune Kvist [00:41:49]: Yeah. Most of the demand comes today for insurance contracts is, sitting between people who've built AI and people who are buying AI.Swyx [00:41:56]: Yes.Rune Kvist [00:41:57]: And what you want—the reason why people want insurers involved, both for the traditional reasons, hey, if something goes wrong, we want to be compensated, but it's in particular because insurers can bring trust to the equation. Because insurers will pay for the damages, if they're willing to write an insurance policy, that is them saying, “Hey, we think there is risk here, but that is manageable.” And that is kind of a. Their incentive aligns with the enterprises adopting it, so that's a really a good signal to the market. In the same way, actually, one of the things that Waymo tried to get their first permit to even operate in San Francisco was to get a lot of insurers to stack up a huge insurance policy. In the case if something went wrong, not because Google can't pay, but because it was very valuable to have a third party go and look at that dataRune Kvist [00:42:47]: That are trusted by governments, trusted by enterprises as conservative people and say, “Hey, we've looked at it. We're actually willing to take some of this on our balance sheet.” So that's, that's kind of the reason why people are interested in it. What it looks like is, in some ways like every other insurance contract. You specify what are the perils you want to cover, how much do you want to cover them, like up to what limits, and what does it cost to cover that. And in the case of, if we take a really concrete example, ElevenLabs, bought a first of its kind AI agent insurance policy. They work with some of the biggest, enterprises that work with governments. They're really interested in going above and beyond and making promises to their customers. So they wrote a policy that covers just some of the core concerns that their customers have been asking about. And, the crucial thing was really to get Lloyd's of London, the world's oldest insurer, one of our partners, to look at this data and be that third party alongside us to say, “Hey, we think there's something here that's worth underwriting.” and that's actually what it looks like. And so they will show that contract to their customers, and they can see how much they're covered for. They can see what exactly it covers, and that will also probably change next year. They will want to write an insurance policy that might cover more.Swyx [00:44:04]: When you say Lloyd's, is it reinsurance, or are they sharing somehow at the same level orRune Kvist [00:44:11]: Yeah. So typically, the way, new companies get into insurance is that they partner with insurers such that the insurers take the majority or all of the financial risks. Fundamentally, if insurance is useful, because it brings trust, you have to be able to pay the bill. Lloyd's of London is 400 years old. They've never not paid a claim. They're extremely trusted. What Lloyd's of London struggle to do on their own is to figure out which of the risks are real, what should we be looking for, what are the kinds of technical controls, and running the tests. So they use AIUC-1 as kind of the underwriting framework, and we produce a bunch of eval results that then directly feed in to inform the pricing. So this means that ElevenLabs customers know that payment will be there. They don't have to look to our series A and see, like, do we think they have enough cash on the balance sheet? They will look at Lloyd's.Swyx [00:45:05]: Yeah.Rune Kvist [00:45:05]: Yeah.Swyx [00:45:05]: And Lloyd's, like, famously very creative. I think I remember some headline like, they insured Jennifer Lopez's, butt or something.Rune Kvist [00:45:13]: Correct.Swyx [00:45:13]: Right?Rune Kvist [00:45:13]: And I think, was it, David Beckham's right foot?Swyx [00:45:16]: So, yeah. Right?Rune Kvist [00:45:17]: And stuff like this.Swyx [00:45:18]: So, like, clearly not a large data set.Rune Kvist [00:45:22]: Exactly. It's actually a remarkable institution that's both kind of has some of the truly school virtues of having been around for a long time. They, like, really. They really operate like a trusted entity, and they have appetite to figure out the future. And I think there's a lot of recognition that both there is, like, tremendous amount of risk in AI that is poorly understood today, so getting into this business carries real risks. But also this is where lots of the risk exposure will happen in the future. This is the one market where risk is truly growing. This is the one market that will also take out some of the existing markets. Take, like, auto insurance. When there are no human drivers, how's that market going to look? Well, it's clearly going to change. How are you going to assessSwyx [00:46:08]: You want to insure Waymo?Rune Kvist [00:46:10]: I. All I'll say is the principles for how you insure Waymo are very similar to how you insure other kinds of AI.Swyx [00:46:15]: Right.Rune Kvist [00:46:15]: So again, crash testing, that's what we do for customer share at Lovable. That will also need to happen for Waymo, which is not how you do it for human drivers. So there's this growing awareness that the world is changing very fast, and the only way to learn how to underwrite AI is to write some policies. You may incur some losses and think of that as R&D expense, really. But the question for them is, like, who are the trustedtechnical partners they can get into this business with that can help them navigate and make sure they don't make, kind of foolish mistakes? But also who is willing to hear the wisdom that they have? They've done this before. They've seen it was. They were there when cyber came out. So there are lots of ways in which AI feels completely new, but there's also lots of ways in which risks look the same. And so there's actually a tremendous amount of wisdom sitting in some folks that may have gray hair, but really have, like, a keen sense of, how to quantify risk.Swyx [00:47:08]: Yeah. And the number is. So it's basically like I want fifty million dollars worth of coverage against these perils, and Lloyd's will give you a quote on it, and then you have, like, a small markup or something, and then you turn it around and do that? Is that as simple as it is?Risk Capital, Premiums, and Working with InsurersRune Kvist [00:47:23]: You basically share some of that premium.Swyx [00:47:25]: Yeah.Rune Kvist [00:47:25]: X percent goes to the people who do the pricing of it.Swyx [00:47:28]: You're. It's kind of like a. It's kind of like a merchant bank for insurance type of thing.Rune Kvist [00:47:33]: Exactly. You basically split the fee, and you can think of the insurance supply chain as, like, there's bringing the capital, there is doing the pricing, and there is doing the distribution. And typically, you will pay out some X percent of premium here, Y percent of premium here, and the rest of it will go here.Swyx [00:47:46]: Does all the insurance world work like this, or is there some point at which, like. So if right now you have equity capitalRune Kvist [00:47:51]: Yeah.Swyx [00:47:52]: At some point, maybe you start raising, debt or whatever, and then you have enough of a bank account and enough history, let's say you've been in operation for ten yearsRune Kvist [00:48:00]: Correct.Swyx [00:48:00]: That you don't need Lloyd's anymore?Rune Kvist [00:48:02]: That's totally an option. And I could see some worlds where that makes sense, specifically if there are risks that we feel high confidence that we'd want to insure where the incumbent insurers are too slow to find appetiteSwyx [00:48:13]: Okay.Rune Kvist [00:48:13]: Or simply struggle to evaluate it such that they don't want to do it. But by and large, in general, you do not want to compete with insurers on, bringing risk capital to the game for two reasons. One is that's fundamentally a cost of capital game. They have extremely low cost of capital. Startups have high cost of capital, by and large. And two, you want to hedge your bets, and it's very helpful then to also have a portfolio of home insurance, of car insurance. And we're not about to become a car insurer nor a home insurer.Rune Kvist [00:48:43]: So they have some natural advantages, which makes it much more likely that we'll partner.Swyx [00:48:48]: Yeah.Rune Kvist [00:48:48]: And they bring that, the capital at scale, and we bring the technical expertise.Swyx [00:48:51]: You're, you're going to work with them for a long time.Vibhu [00:48:52]: How are the discussions with the insurers as well? So basically, they're going off of your certification, right? They're trusting the diligence on you that your certification is valid, you tested the right things, and they're backing the money that, you know, you have the right testing in place. So any interesting takeaways from working with insurers?Rune Kvist [00:49:12]: I think the maybe the first thing is they feed into the standard as well. So if there are things that they feel like they need that they're not seeing, we are also taking that as input into the standard, because fundamentally we think a good standard is one that creates a really healthy promise ecosystem, and we think insurers are a critical part of that. And again, they are the most well-incentivized to. They see all the lost data across every. Any particular CISO knows their particular concerns. Insurers see the concerns across the entire portfolio and often have direct access to, like, what exactly happened, who was at fault, et cetera, as they do part of their forensics. So they're actually, like, a great source of intelligence on this. One of the big takeaways from cyber insurance, which is a market that didn't work that well, was that the insurance and the technical expertise was not married up. What our conviction is that standards have to precede insurance. Fundamentally, what everyone first and foremost want, whether you're a CISO at JPMorgan or a CISO at Cursor or an underwriter at Lloyd's of London syndicate, is you want to not have an incidentRune Kvist [00:50:19]: In the first place. You want to know that the risk is well-managed, and only then does insurance start to make sense. So we'll see the standard ecosystem basically run ahead of the insurance. And the reason why we. You asked us kind of why I also do insurance, this is kind of proving what we think a whole promise confidence infrastructure ecosystem needs to look like, and we think it's very compelling to bring that to life, even if we think the standard is kind of the core linchpin that unlocks the rest.Claims, Liability, Air Canada, and Duty of CareSwyx [00:50:44]: There's been no claims yet, right?Rune Kvist [00:50:45]: Nope.Swyx [00:50:46]: This is one of those things where, you know, if people haven't really worked through what it means to cover things.Rune Kvist [00:50:52]: Yeah.Swyx [00:50:52]: So for example, I pay Cursor $20 a month.Rune Kvist [00:50:55]: Yep.Swyx [00:50:56]: And I write a vibe code something that makes, a plane crash, causing $200 million worth of damage.Rune Kvist [00:51:02]: Yes.Swyx [00:51:02]:
Tony talks about politicians and other artists backing Macklemore after getting booted from Ed Sheeran’s tour.See omnystudio.com/listener for privacy information.
The question that costs nonprofits the most money at their gala is "are the bid spotters really necessary?" The answer is yes, and the reason is arithmetic. Four trained ringmen in a 500-person room act like a 200% increase in fundraisers on the floor, and a single spotter interaction can lift one bid from $4,000 to $5,000 in seconds. Multiply that across every live auction item and the auction team pays for itself many times over.In this episode, Marty Murad of Murad Auctions sits down with Trevor to reframe the live auction as a revenue-producing asset instead of a cost. You will learn why live auction income is unrestricted net revenue you can spend anywhere in your organization, including development staff salaries, how to back into a $50,000 live auction goal with honest per-item math, why selling the right packages multiple times is the gold standard for maximizing revenue, and why the live auction aids your fund-a-need rather than robbing it. Marty also makes the finance case for treating consignment as cost of goods sold, not an expense.If you run galas, benefit auctions, or paddle raises for a nonprofit, this is a tactical look at the numbers behind a successful live auction.Topics: nonprofit fundraising, live auctions, benefit auctioneers, bid spotters and ringmen, consignment packages, fund-a-need, paddle raise strategy, donor cultivation.Chapters:00:00 Intro00:18 The LinkedIn post that started this01:05 Why live auctions create unrestricted funds02:34 Finding the right packages: ask your top donors where they travel03:51 Backing into your goal with live auction math04:51 The gold standard: selling packages multiple times06:18 Does the live auction rob your fund-a-need?08:34 The worst question to ask an auctioneer09:21 How bid spotters add 200% more fundraisers to the room11:47 Consignment: expense or cost of goods sold?12:54 Where to find Marty
Bloomberg reported that Goldman Sachs, Franklin Templeton, and Fidelity plan to buy into the National Stock Exchange of Indias IPO. NSE operates Indias equity and derivatives markets and earns revenue from trading, clearing, listings, data, and connectivity. A listing would require approvals from the Securities and Exchange Board of India and would introduce market-based valuation and public disclosures. Interest from large asset managers could anchor the order book and draw additional foreign portfolio investors. The move would follow BSE Ltd.s 2017 listing and intensify competition on technology, fees, and liquidity. Founders should track how NSE invests in technology and how the deal shapes capital access and partnerships in India.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.
Join Tony and the Jeep Talk Show crew for the Tuesday night Round Table pre-party at 7:30 PM Central. The guys get into whether swapping an old Jeep alternator or power steering pump for a refund is clever parts collecting or just stealing, then debate backing into parking spots versus pulling in like God intended. They also cover the Wolfbox G900 Tri-Pro 3-channel mirror dash cam coming for review on the Gladiator and TJs, plus TJ e-brake headaches and why mom-and-pop shops matter. Timestamps 00:00 – Round Table Intro and Pre‑Party Overview 00:22 – Ethics of Returning Parts for a Refund 02:13 – Dealing with Unintentional Free Items from Retailers 05:01 – Unclaimed Extra Deliveries and Integrity Choices 06:22 – Integrity and Store Size: Big vs Mom‑and‑Pop 08:20 – Decline of Retail Expertise and Rise of AI 13:39 – Cash Flow, Shipping Costs, and Insurance for Small Businesses 16:36 – Integrity and Moral Flexibility within Jeep Community 20:45 – Backing into Parking Spaces: Pros, Cons, and Safety 25:01 – Wolfbox Mirror Camera System Overview 27:23 – Installing and Positioning the Wolfbox Camera System 31:17 – Emergency Brake Adjustments and Coil Challenges 34:50 – Acquiring and Planning Wolfbox Installation for Various Vehicles 44:05 – Closing Remarks and Legal Disclaimer Key Highlights Is returning a similar old Jeep part for a full refund theft or just using the store as your parts supplier? Why backing into a spot can be safer with a spare tire, metal in your neck, or a big truck Wolfbox G900 Tri-Pro 4K three-camera mirror system: mounting, sun visor issues, parking mode, and off-road use TJ emergency brake adjustment struggles and JK cable tricks Big-box store mistakes versus mom-and-pop integrity and cash flow realities If you enjoyed the Round Table, hit like, drop a comment telling us whether you back in or pull forward, subscribe so you never miss a Tuesday night, and visit jeeptalkshow.com for the full archive and merch. Support the Show & Shop Jeep Gear Thank you for watching and listening! If you enjoyed the conversation with Tony, Rick, Bob, Kevin, and Roger, consider checking out some of the great products and upgrades we discussed. WOLFBOX G900 TriPro 3-Channel 4K Mirror Dash Cam View on Amazon Shop official Jeep Talk Show gear and use our Amazon storefront at jeeptalkshow.com/amazon to support the show on the parts you already buy. Every purchase through those links helps keep the interviews, trail talk, and wrenching content coming at no extra cost to you.
Gary Parrish and Matt Norlander open on LSU vs. the SEC and Greg Sankey. The headlines revolve around football, but how will the commissioner's decisions impact Will Wade's roster on the basketball side? Then, Trey Kaufman-Renn is eligible. Where is he going to play college basketball next season? Finally, Rutgers head coach Steve Pikiell has cancer. Our thoughts are with him, his family and the Rutgers hoops.(0:00) Intro(1:00) LSU buckles under the threat of SEC expulsion(15:40) How might this impact Will Wade's basketball roster?(29:30) Trey Kaufman-Renn is eligible. Where will he play? It ain't at Purdue(45:45) Our thoughts are with Steve Pikiell and Rutgers hoopsTheme song: “Timothy Leary,” written, performed and courtesy of GusterEye on College Basketball is available for free on the Audacy app as well as Apple Podcasts, Spotify and wherever else you listen to podcasts.Follow our team: @EyeonCBBPodcast @GaryParrishCBS @MattNorlander @Boone @DavidWCobb @TheJMULL_Visit the betting arena on CBSSports.com for all the latest in sportsbook reviews and sportsbook promos for betting on college basketball.You can listen to us on your smart speakers! Simply say, “Alexa, play the latest episode of the Eye on College Basketball podcast,” or “Hey, Google, play the latest episode of the Eye on College Basketball podcast.”Email the show for any reason whatsoever: ShoutstoCBS@gmail.comVisit Eye on College Basketball's YouTube channel: https://www.youtube.com/channel/UCeFb_xyBgOekQPZYC7IjilwFor more college hoops coverage, visit https://www.cbssports.com/college-basketball/
With new iPhones shipping and major iOS updates around the corner, now is the moment to protect your info. Mikah shows the overlooked features and essential steps that keep your data truly safe. You might be missing crucial areas and not even know it! iCloud Backup: how it works, what it includes, and limitations Key differences between synced data and backed-up data Backing up locally to Mac or PC: process and pros How to back up via Finder on macOS and Apple Devices app on Windows Managing and locating your iPhone backups on Mac and PC Importance and benefits of encrypting local backups Using 3rd-party backup tools like iMazing for flexibility Wi-Fi scheduled snapshots, storage locations, and restore caveats Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
With new iPhones shipping and major iOS updates around the corner, now is the moment to protect your info. Mikah shows the overlooked features and essential steps that keep your data truly safe. You might be missing crucial areas and not even know it! iCloud Backup: how it works, what it includes, and limitations Key differences between synced data and backed-up data Backing up locally to Mac or PC: process and pros How to back up via Finder on macOS and Apple Devices app on Windows Managing and locating your iPhone backups on Mac and PC Importance and benefits of encrypting local backups Using 3rd-party backup tools like iMazing for flexibility Wi-Fi scheduled snapshots, storage locations, and restore caveats Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
With new iPhones shipping and major iOS updates around the corner, now is the moment to protect your info. Mikah shows the overlooked features and essential steps that keep your data truly safe. You might be missing crucial areas and not even know it! iCloud Backup: how it works, what it includes, and limitations Key differences between synced data and backed-up data Backing up locally to Mac or PC: process and pros How to back up via Finder on macOS and Apple Devices app on Windows Managing and locating your iPhone backups on Mac and PC Importance and benefits of encrypting local backups Using 3rd-party backup tools like iMazing for flexibility Wi-Fi scheduled snapshots, storage locations, and restore caveats Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Jon gives advice on an opinionated mother-in-law, a camping trip bait-and-switch, and an overweight dog
With new iPhones shipping and major iOS updates around the corner, now is the moment to protect your info. Mikah shows the overlooked features and essential steps that keep your data truly safe. You might be missing crucial areas and not even know it! iCloud Backup: how it works, what it includes, and limitations Key differences between synced data and backed-up data Backing up locally to Mac or PC: process and pros How to back up via Finder on macOS and Apple Devices app on Windows Managing and locating your iPhone backups on Mac and PC Importance and benefits of encrypting local backups Using 3rd-party backup tools like iMazing for flexibility Wi-Fi scheduled snapshots, storage locations, and restore caveats Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
With new iPhones shipping and major iOS updates around the corner, now is the moment to protect your info. Mikah shows the overlooked features and essential steps that keep your data truly safe. You might be missing crucial areas and not even know it! iCloud Backup: how it works, what it includes, and limitations Key differences between synced data and backed-up data Backing up locally to Mac or PC: process and pros How to back up via Finder on macOS and Apple Devices app on Windows Managing and locating your iPhone backups on Mac and PC Importance and benefits of encrypting local backups Using 3rd-party backup tools like iMazing for flexibility Wi-Fi scheduled snapshots, storage locations, and restore caveats Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
With new iPhones shipping and major iOS updates around the corner, now is the moment to protect your info. Mikah shows the overlooked features and essential steps that keep your data truly safe. You might be missing crucial areas and not even know it! iCloud Backup: how it works, what it includes, and limitations Key differences between synced data and backed-up data Backing up locally to Mac or PC: process and pros How to back up via Finder on macOS and Apple Devices app on Windows Managing and locating your iPhone backups on Mac and PC Importance and benefits of encrypting local backups Using 3rd-party backup tools like iMazing for flexibility Wi-Fi scheduled snapshots, storage locations, and restore caveats Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
With new iPhones shipping and major iOS updates around the corner, now is the moment to protect your info. Mikah shows the overlooked features and essential steps that keep your data truly safe. You might be missing crucial areas and not even know it! iCloud Backup: how it works, what it includes, and limitations Key differences between synced data and backed-up data Backing up locally to Mac or PC: process and pros How to back up via Finder on macOS and Apple Devices app on Windows Managing and locating your iPhone backups on Mac and PC Importance and benefits of encrypting local backups Using 3rd-party backup tools like iMazing for flexibility Wi-Fi scheduled snapshots, storage locations, and restore caveats Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
UK small-caps have endured a difficult decade, but attractive valuations, stronger balance sheets and improving earnings trends are creating a compelling backdrop. Our interview with Katen Patel, co-manager of the JPMorgan UK Small Cap Growth and Income Trust, explores what could finally trigger a re-rating, why M&A activity is accelerating, and how share buybacks have become increasingly attractive for cash-rich companies. He also covers opportunities in UK mid-caps, the benefits of an investment trust structure, overlooked companies at the smaller end of the market and the importance of international revenues. Finishing with how the portfolio balances capital growth with income.What's covered in this episode:A decade of UK small-cap challengesWhat could trigger a re-ratingValuation discounts versus the USFour Imprint's international growthSmall-cap dividend yieldsRising M&A activityPrivate equity interestThe shortage of new IPOsWhy share buybacks are risingUK mid-cap opportunitiesInvesting below £300 millionFinding under-researched companiesInternational revenues in UK small-capsCapital growth versus incomeRecord free cashflow yieldsLearn more on fundcalibre.comPlease remember, we've been discussing individual companies to bring investing to life for you. It's not a recommendation to buy or sell. The fund may or may not still hold these companies at the time of listening. Elite Ratings are based on FundCalibre's research methodology and are the opinion of FundCalibre's research team only.
Senator and Veteran Jacqui Lambie joins Mark Levy, hitting out at the government for not already scrapping the $5,000 allied health cap, which is now the subject of a discussion paper. Senator Lambie has told 2GB Mornings that our nation 'will see suicides' because of how veterans are treated.See omnystudio.com/listener for privacy information.
After a huge build-up, the moment has finally arrived - Katie Taylor's Croke Park bout is on this weekend! On this morning's show, Ian caught up with Olympic silver medallist Kenneth Egan, who was full of pride for the Bray boxer! Hit play now to hear the episode in full.
Greg Bluestein talks with longtime Democratic strategist Billy Linville about his decision to cross party lines and support Republican Rick Jackson for governor. Linville argues that Keisha Lance Bottoms' record as Atlanta mayor makes her unfit to lead Georgia. He also explains his effort to organize Democrats and independents behind Jackson and why he believes metro Atlanta voters could be pivotal. Have a question or comment for the show? Call or text the 24-hour Politically Georgia Podcast Hotline at 770-810-5297. We'll play back your question and answer it during our next Monday Mailbag segment. You can also email your questions at PoliticallyGeorgia@ajc.com. Learn more about your ad choices. Visit megaphone.fm/adchoices
Carl and Mike close out the show with thoughts on reports Georgia's Attorney General is encourage Greg Sankey to take all measures available should LSU move forward with rostering former NFL players and agree this may be what needs to happen across the SEC with other states in order for the latest college football dilemma to come to a rest. They then get back to more Falcons talk and while they express displeasure in what Ian Cunningham said in regards to the quarterback situation, they agree the Falcons will "get it figured out.
2 - Revisiting Greg Gutfeld's comments regarding building AI data centers. 215 - Dom's Money Melody! 220 - The Philadelphia FOP has endorsed Josh Shapiro. Why? Where is the magic with this guy? 235 - More on the FOP's endorsement. 240 - More calls. 250 - The Lightning Round!
Exotec's journey from an early-stage warehouse robotics company to France's first industrial unicorn, now valued at $2bn+, reflects what IRIS looks for in applied deep tech: differentiated technology, a clear market need and founders who understand both.In this EUVC episode, we are joined by Julien-David Nitlech, Managing Partner at IRIS, to explore why Exotec initially seemed too early, what changed his mind and how the company continued to evolve through international expansion.Julien-David then takes us inside IRIS, the European venture and growth firm founded in 1986. He explains how the firm has navigated four decades of technological change by renewing its teams, ownership and investment thinking while preserving the values at its core.What we cover:Why Exotec's early promise was not initially enough for IRIS to investWhat Julien-David saw during a 20-minute meeting with its founderWhere IRIS draws the line between applied deep tech and capital-intensive foundational betsHow early customer validation helps IRIS assess a technical stackWhat AI companies need to build lasting value as technologies and markets evolveWhy IRIS may be approaching what Julien-David describes as its “fifth life”Follow EUVC for more conversations with the founders, investors and operators shaping European tech and venture capital.
Kelly Kingston, founder and CEO of Happy and Well® and founder of the Women of Wisdom Collective, a transformational wellness and business ecosystem helping women align their life, health, purpose, and business.Through Happy and Well®, The Cycle™, Women of Wisdom Collective, retreats, education, events, wellness products, and mentoring, Kelly helps women reset unhealthy patterns, reconnect to themselves, and build more aligned lives, businesses, and legacies.Now, Kelly's journey of backing herself through financial pressure, partnership lessons, setbacks, and constant recalibration demonstrates the resilience it takes to keep building from vision, purpose, and lived experience.And while she is now scaling a global movement designed to impact one million women, she is also learning how to expand sustainably, protect the heart of the mission, and lead with stronger structure, boundaries, and courage.Here's where to find more:https://linktr.ee/kellykingston________________________________________________Welcome to The Unforget Yourself Show where we use the power of woo and the proof of science to help you identify your blind spots, and get over your own bullshit so that you can do the fucking thing you ACTUALLY want to do!We're Mark and Katie, the founders of Unforget Yourself and the creators of the Unforget Yourself System and on this podcast, we're here to share REAL conversations about what goes on inside the heart and minds of those brave and crazy enough to start their own business. From the accidental entrepreneur to the laser-focused CEO, we find out how they got to where they are today, not by hearing the go-to story of their success, but talking about how we all have our own BS to deal with and it's through facing ourselves that we find a way to do the fucking thing.Along the way, we hope to show you that YOU are the most important asset in your business (and your life - duh!). Being a business owner is tough! With vulnerability and humor, we get to the real story behind their success and show you that you're not alone._____________________Find all our links to all the things like the socials, how to work with us and how to apply to be on the podcast here:https://linktr.ee/unforgetyourself
Wild bird contacts can shape a pointing dog in ways a training setup cannot. Mark Payton joins Nick to talk about first seasons, launchers, steadiness, and letting birds teach. Mark is the author of Favorite Ways to Train Your Bird Dog and a longtime bird hunter who has worked dogs for the public for about 15 years. He returns to the podcast for a listener-question episode built around developing young dogs, carrying yard work into new places, and recognizing what a dog is saying before adding more pressure. I have a new setter pup at my feet this season, so this one landed at the right time. We talk about how little formal work a young pointing dog may need before its first fall, what early wild-bird opportunity can open up, and why a puppy's light-bulb moment tends to stick with the person holding the gun. Mark remembers Izzy pointing a quail single before she was six months old. With another dog, he went into the field with a puppy and came out with a bird dog. The conversation also gets practical. Mark explains his wooden backing silhouette, his use of remote launchers, the difference between steady to flush and steady through the fall, and why he treats a launcher as a stand-in for a wild bird rather than a machine for making a dog point. His recurring question is a useful one: what would a wild bird do? Later, we get into whoa posts, flank collars, relocation, gun introduction, e-collar timing, trash breaking, retrieving, and the limited role of a wing on a string. The larger idea stays simple. Build the dog's love for birds, give it meaningful opportunity, and pay attention to the small signals along the way. Chapters 00:00 Let the wild bird teach the dog 02:37 Short bird dog training sessions and consistency 04:58 Mark Payton's bird dog background 11:33 How much training does a young pointing dog need? 21:47 Letting the dog and bird work it out 22:14 A young bird dog's first hunting season 28:24 Building bird drive in a hesitant puppy 31:02 Developing range and independence 33:26 Teaching backing with a wooden silhouette 43:16 Helping dogs generalize training in new places 46:05 E-collar timing and command reinforcement 48:58 When a young dog catches a training bird 50:37 Using a launcher like a wild bird 54:35 Steady to flush, wing, shot, and fall 1:00:00 Whoa posts and flank collars 1:03:54 Letting a pointing dog relocate on moving birds 1:07:28 Reading small signals during gun introduction 1:10:28 Trash breaking and deer chasing 1:14:37 Retrieving and force fetch 1:19:15 The limited role of wing on a string 1:28:00 Birds, breaks, and taking away the chase 1:30:16 Why wild birds become the best teacher 1:33:47 Where to find Mark Payton Questions from the episode How much training does a young pointing dog need before its first season? Mark keeps the early program fairly light: recall, collar conditioning, bird introduction, gun introduction, and enough bird work for the dog to begin pointing. He prefers to build a love for birds and let the first hunting season provide experience. More formal polish can come later, often when the dog is roughly nine to 15 months old. Is it a good idea to hunt a puppy during its first season? Mark believes a first season can be valuable when the puppy is physically ready and has the basic preparation to be safe in the field. The goal is opportunity, not finished performance. His own young dogs pointed wild quail and woodcock before six months, while another dog needed more time before the light came on during a scattered covey. What does a young bird dog's light-bulb moment look like? It is the point when bird contacts begin to make sense to the dog. Nick remembers Rose moving from a very young puppy to reliably pointing grouse as the season progressed. Mark remembers one dog sticking quail singles so clearly that he felt he had walked into the field with a puppy and walked out with a bird dog. Why does Mark Payton use a remote bird launcher? Mark treats a remote launcher as a tool for simulating the consequence a wild bird would give a dog. If the dog crowds the scent cone, approaches from the wrong side of the wind, or gets too close, the bird leaves. That loss of opportunity helps many dogs learn to stop and point without the handler manufacturing the point. Will catching one training pigeon ruin a pointing dog? One caught pigeon is unlikely to create a lasting problem, especially with a young dog still developing bird drive. Repeated catches are different because they can teach the dog that birds are available to grab. Mark moves away from easy catches once the dog's interest is established and uses stronger-flying birds or launchers to preserve the bird's advantage. What are the different levels of steadiness in a pointing dog? The terms vary among trainers, but Mark separates them by what the dog remains still through. Steady to flush covers the handler moving in to produce the bird. Steady to wing adds the bird taking flight. Steady through shot and fall asks the dog to remain until the bird is down and the handler releases it. What small signs can show a gun introduction is moving too fast? A dog may keep chasing while still showing uncertainty. Mark watches for ears lowering, a brief hesitation in stride, or a small change in the tail after the shot. Those details can be easy to miss. A handler who reads them early can pause rather than escalating from one light shot to several hunters firing at a covey. What does Mark mean by an honest bird dog? An honest bird dog is genuinely trying to find, point, and handle the bird for the hunter. A bump can still happen because of wind, distance, or a running bird, but the dog is not deliberately trying to flush ahead of the gun. Nick describes that trust with Rose, especially when she relocates on moving ruffed grouse without being directed. Connect with Mark Payton Email: payton1221@yahoo.com YouTube: https://www.youtube.com/@Payton1221 Instagram: https://www.instagram.com/mark_payton_gundogs/Favorite Ways to Train Your Bird Dog: Contact Mark at payton1221@yahoo.com for availability. Companion backing and honoring video: https://www.youtube.com/watch?v=tDYj9K6QrSc Listen and follow Spotify: https://open.spotify.com/show/17EVUDJPwR2iJggzhLYil7 Apple Podcasts: https://podcasts.apple.com/us/podcast/birdshot-podcast/id1288308609 YouTube: https://www.youtube.com/@birdshot.podcast Instagram: https://www.instagram.com/birdshot.podcast/ Website: https://www.birdshotpodcast.com/ Sponsors This episode is brought to you by Upland Gun Company, Final Rise, and Irish Setter Boots. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
What does it actually take to win in venture capital?Harlem Capital co-founder and Managing Partner Henri Pierre-Jacques joins Maria to unpack a decade of lessons. They talk about how to identify exceptional founders, why the best VC deals take years to build, the growing importance of an investor's personal brand, and why founders should reference-check their VCs.Henri also shares Harlem Capital's approach to investment decisions, what it takes to make partner, how AI has changed the way he reflects and creates, and why he believes “winners want to be around winners.”
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