Podcasts about Alert

Part Two of Two  South Carolina fined journalist Mandy Matney $5,000 to “deter similar conduct in the future and promote respect for the law.” It fined Cory Fleming, $0. Becky Hill, $0. Alex Murdaugh — who stole more than $12 million from grieving clients — $0.  Mandy opens Part Two of Episode 158 by laying that math out plainly, and asking what message it sends to every whistleblower in the state trying to change its broken systems. Then journalists⁠ Mandy Matney⁠ and⁠ ⁠Liz Farrell⁠ turn to Murdaugh v. Hill, the federal suit in which Alex demands at least $600,000 from the former clerk of court for what his lawyers call “criminal jury tampering” — a charge prosecutors declined to bring, because the jurors telling the story couldn't keep it straight. Plus: Becky's motion to dismiss, Phil Barber's savage briefs, another sealed discovery order, and why a sourdough starter metaphor explains this entire mess. Join the⁠ LUNASHARK® Premium Community⁠ now on Patreon - Together we go further ☀️

See why Joni says being as “wise as serpents” is actually the smart thing to do. -------- Thank you for listening! Your support of Joni and Friends helps make this show possible.     Joni and Friends envisions a world where every person with a disability finds hope, dignity, and their place in the body of Christ. Become part of the global movement today at www.joniandfriends.org   Find more encouragement on Instagram, TikTok, Facebook, and YouTube.

Part Two of Two  South Carolina fined journalist Mandy Matney $5,000 to “deter similar conduct in the future and promote respect for the law.” It fined Cory Fleming, $0. Becky Hill, $0. Alex Murdaugh — who stole more than $12 million from grieving clients — $0.  Mandy opens Part Two of Episode 158 by laying that math out plainly, and asking what message it sends to every whistleblower in the state trying to change its broken systems. Then journalists Mandy Matney and ⁠Liz Farrell turn to Murdaugh v. Hill, the federal suit in which Alex demands at least $600,000 from the former clerk of court for what his lawyers call “criminal jury tampering” — a charge prosecutors declined to bring, because the jurors telling the story couldn't keep it straight. Plus: Becky's motion to dismiss, Phil Barber's savage briefs, another sealed discovery order, and why a sourdough starter metaphor explains this entire mess. Join the LUNASHARK® Premium Community now on Patreon - Together we go further ☀️

Investigative journalists Mandy Matney and ⁠Liz Farrell have some questions about a Spartanburg County Police report… made by none other than Debbie Barbier… When Greg Parker's attorney Deborah Barbier told Spartanburg police she'd been “harassed” in a hotel lobby the morning of Mandy's contempt hearing on June 22, 2026, the department did something our team has never seen done so thoroughly for a harassment complaint made by a woman: it investigated.  Multiple officers. Multiple weeks. Untold public monies. Search warrants signed by magistrate judges with no explanation of what probable cause existed — including a search of Mandy's Marriott room records and private guest information divulged over the phone. Hours of surveillance footage later, police could not locate the confrontation Barbier described, and the case is now listed as "inactive". We're revisiting what South Carolina's harassment statute actually says, and ask why protected first amendment activities keep getting recast as crimes… and why behavior matching the statute is disregarded.  Then we relook at McClatchy reporter John Monk's coverage of Mandy's contempt proceedings through the prism of his 44 year old son's federal indictment on child sexual abuse material charges — to which Monk Jr. has pleaded not guilty. We have questions… Let's Dive In…

Attorney Sabrina Haake explains that Blanche is likely to be confirmed, then disbarred - In 30 years at the federal trial bar I've never seen angrier judges That Sign in Front of the Smithsonian is More Dangerous Than You Think. Is Elon Musk Buying Another Election? Jetson's Alert. Is Your Burrito About To Fly? Geeky Science. Your Kitchen Clock May Protect Your Memory. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Are you relying entirely on word of mouth to grow your MSP business? In this episode we discuss why relying on referrals isn't a sustainable growth strategy and what actions you need to take when that source dries up Chapters 00:00 – Topic intro: Referrals and MSP growth. 00:41 – Defining business goals and growth limits. 02:07 – Evaluating customer satisfaction. 02:44 – Customer Happiness Score explained. 05:27 – Asking for referrals proactively. 07:24 – Implementing outreach strategies. 09:37 – Documenting sales success. 11:00 – Alternative lead gen and budgeting. 13:21 – Measuring data and the sales cycle. 16:06 – Weekly inspirational story. 17:41 – Outro and final remarks.----------------------------------------------------------------------------- SUBSCRIBE and hit the ALERT button for upcoming videos! Want to know the secrets to sales growth? Sign up for my weekly newsletter to get weekly insights on how you can grow and scale your business or Sales career. https://www.jameswhite.business/newsletter-sign-up/

ALERT! This is a TEST alert of ChaserALERT! Australia's newEST warning system for every time there's a leadership spill in Victoria. NO ACTION IS REQUIRED. ---Listen AD FREE: https://thechaserreport.supercast.com/ Follow us on Instagram: @chaserwarSpam Dom's socials: @dom_knightSend Charles voicemails: @charlesfirthEmail us: podcast@chaser.com.auChaser CEO's Super-yacht upgrade Fund: https://chaser.com.au/support/ Send complaints to: mediawatch@abc.net.au Hosted on Acast. See acast.com/privacy for more information.

Australia's new AusAlert emergency system has sent a 10-second test warning signal to all compatible mobile phones and devices across the country.It will be officially used from October during natural disasters or public safety situations like terrorist attacks.But some people didn't receive the alert and there are number of reasons why that might be the case. 

Ten days after an unprecedented contempt order shook South Carolina to its core, investigative journalists Mandy Matney and ⁠Liz Farrell are still standing — and they've got a lot of ground to cover.  First, Mandy updates listeners on jaw-dropping injustice as we dig our foxholes and announce a new addition to her growing legal team intent on defending the first amendment and due process.  Then, things get a little... cinematic… because the Lee Gilley saga has officially crossed into foreign territory. Lee is still in Italy. The extradition fight is stalling. Harris County keeps fumbling the ball. And somehow, a man named Matthew Jackson managed to squat inside Christa Bauer's million-dollar Houston home while all of this was happening.  It's the WILD WILD WEST.  It's lawless. It's outrageous. It's a lot. Christa deserved better — and we're pressing on to uncover The Good, The Bad, and The Ugly. Let's Dive In…

La agrupación opositora "Encuentro Unionista" presentó un pedido formal de información a la Comisión Directiva para conocer el estado financiero, judicial e institucional del club. Alertó por el endeudamiento, las inhibiciones, los cheques rechazados y cuestionó el funcionamiento de la conducción.

Does your MSP business totally rely on you? Can you take time off and know that existing customer issues are solved and more importantly new business can be brought in, WITHOUT you having to be there. Many MSP founders do NOT have this luxury. Even after many years of running their companies, the business still relies on them. Within this podcast, I outline the steps you need to take as a founder to build a team and business that can operate and grow without you. Chapters 00:41 - The core challenge of building an MSP that does not depend on the founder. 02:18 - Speaker's background running a SaaS/MSP business starting in 2005. 03:30 - Evaluating personal strengths and weaknesses (using tools like the DISC test). 05:22 - Identifying tasks and critical decisions that still rely directly on the founder. 06:41 - The importance of documenting standard operating procedures for consistency. 07:54 - Delegation vs. involvement: Learning to let go day-to-day. 08:30 - The rule of three: Automating or delegating repetitive tasks. 09:21 - 10:43: Resolving sales process issues when onboarding new salespeople. 10:43 - Cultivating a corporate culture centered around values and customer satisfaction.12:12 - How detailed operational processes impact business valuations and M&A due diligence. 13:51 - Empowering managers with authority and allowing them to learn from mistakes. 17:00 - Addressing sales as a core organizational weakness rather than just relying on referrals. 20:13 - Shifting expectations to build a leadership team capable of challenging decisions. 21:44 - Reframing sales for technical teams and leveraging customer service for referrals. 25:38 - Measuring business health while away and bridging operational gaps with external experts. 26:59 - Personal reflections on budget alignment failures vs. modern team autonomy. 27:57 - Inspirational story regarding domestic abuse law campaigns and closing remarks. ----------------------------------------------------------------------------- SUBSCRIBE and hit the ALERT button for upcoming videos! Want to know the secrets to sales growth? Sign up for my weekly newsletter to get weekly insights on how you can grow and scale your business or Sales career. https://www.jameswhite.business/newsletter-sign-up/

Alert! Alert! On a brand new episode of The Catered Quiz, comedian & songwriter Kyle Gordon joins the program to answer questions about The Ramones and Paul Simon's Graceland. We also talk about Kyle's show in Milwaukee on October 2nd, Planet of the Bass and Spotted Cow. Watch the music video for Kyle's new song Mr. Jambo. Tickets for Kyle's October 2nd at Falcon Bowl are available for purchase here. For more tour dates and information, visit kylegordonisgreat.com.

This show was done on July 15, but a lengthy update segment from 7/19 was also included in the first topic. Timestamps are as follows... (0:02:27): Jared Griener claims he was robbed of his entire $100k+ of WSOP cashes, and hog tied by the thieves who were waiting for him in his Airbnb. Is the story credible?.... (1:17:56): Update on the Jared story from four days after the first segment... (2:01:31): Shot clocks are controversially introduced to the WSOP Main Event on Day 7.... (2:27:53): David Peters wins a million bucks at a late WSOP event -- did he finally pay off his debts?

[Part Two of Two] In Part Two, investigative journalists Mandy Matney and ⁠Liz Farrell break down exactly how Parker's attorneys weaponized a judge's old-fashioned notions of what a scared woman looks like — and why South Carolina's appointed judiciary has no reason to care what you think about it… Demand better! Attorneys for a billionaire gas station owner allegedly billed $310,000 (allegedly because the invoices are secret) — the cost of approximately two murder defenses — in secret billings – to punish a journalist for wanting to feel safe at her own deposition. A deposition that was attempted in March and happened in April. Judge R. Keith Kelly obliged them, ordering Mandy to pay $171,500 in attorneys fees and a $5,000 fine to coerce a deposition that already happened back in April.  We believe that Mandy's constitutional rights were violated and it makes us worry for all of us.  The contempt charge brought by attorneys who represented Alex Murdaugh's convicted co-conspirators and decided by the same judge who lets Gregg Roman continue to dodge his deposition… the lesson is clear: EVADE SERVICE at all costs and skate free. Cooperate to your best ability: and they'll ruin your life in return. Let's Dive In…

[Part One of Two] Investigative journalists⁠ Mandy Matney⁠ and⁠ ⁠Liz Farrell⁠ react to a stunning contempt ruling ordering Mandy to pay a $5,000 fine and $171,500 for billionaire Greg Parker's legal fees — a sum greater than what many murder defendants pay for their entire defense, and a penalty whose line-item breakdown has been sealed from Mandy and the public.  Mandy argues the ruling has nothing to do with a missed deposition and everything to do with punishing a journalist who refused to stay quiet. David Moses reads directly from South Carolina contempt law to expose how the order may exceed its own legal authority.  Then Liz breaks down the bigger picture: the evidence connecting Greg Parker to Gregg Roman, the photos of Mallory Beach's dead body, and the documentary that used them — a puzzle hiding in plain sight while Parker's attorneys keep everyone focused on Mandy.  This is a fight for the First Amendment for a woman's safety. And it's just getting started. Let's Dive In…

New Sikorsky Marine One helicopters damage the White House lawn, the airports renamed for U.S. presidents, airline consolidation, DCA crash safety recommendations, controversy over ADS-B In regulations, Air France and Airbus manslaughter verdict, passengers sue Delta over turbulence injuries, a Ryanair window ruptures, and a seaplane makes a hard landing in New York's East River. Also, interviews from the Spurwink Farm fly-in. Aviation News Lockheed Martin Is Covering the Cost of Trump's White House Helipad President Trump said that Sikorsky, part of Lockheed Martin, would cover the cost of building a new helipad at the White House. Lockheed Martin confirmed the report. Sikorsky helicopters have been used to transport the president since the 1970s.  The new VH-92A Patriot helicopter has propulsion exhaust vents located toward the rear of the airframe and pointed downward, unlike the VH-3D’s configuration. Also, with much more powerful engines, the VH-92A generates significantly more downwash than the VH-3D. The hot exhaust gets combined with the intense rotor downwash at touchdown, and the combined heat-and-airflow effect scorches the turf and can physically rip sod loose. Airline consolidation now rules the skies. Has it been good for passengers? Continental Airlines, Northwest Airlines, and US Airways are gone. Spirit Airlines is gone as well. Now, the Big Four U.S. airlines control roughly three-quarters of the U.S. market. Has this been good for the flying public? It depends on who you ask. Former governor Chris Sununu, now the head of Airlines for America, said at a Capitol Hill hearing, “We have more competition per route than ever before. When I go to buy a ticket, I have four, five, or six carriers going from Wichita to Dallas. So now they’re all competing on that exact same route.” There are six airlines serving Wichita Dwight D. Eisenhower National Airport, but there’s only one that flies nonstop to Dallas. Past guest Ganesh Sitaraman, a professor at Vanderbilt Law School and the author of the book Why Flying Is Miserable and How to Fix It said, “From the airlines’ perspective, it makes sense. Bigger is better, and it’ll be more efficient for them, even if there’s a lot of drawbacks for communities and passengers.” A Florida airport is officially renamed for Trump. What does he stand to gain? FAA Details First Official Response to DC Crash Safety Recommendations After the January 2025 midair collision near Washington, D.C., that killed 67 people, the NTSB issued nearly three dozen recommendations. As is always the case, the FAA is not obligated to implement the NTSB’s recommendations. Earlier this year, the FAA said it had fully addressed seven of the recommendations and that it would evaluate the others, with further updates to come by May 31, 2027. The Air Current reported that the FAA indicated it is evaluating whether the number of arrivals permitted per hour at DCA is appropriate. This is a key metric that the NTSB said contributed to the airport’s congestion at the time of the crash. Also, any adjustments will be determined after an official analysis in 2027. This $50,000 Safety Fix Is Dividing the Aviation Industry and Washington This could be characterized as a conference-committee fight over how strong an ADS-B In mandate should be, not whether there will be one. ALPA and NTSB are on one side (ROTOR Act), and industry groups like A4A/AOPA/NBAA on the other (ALERT) side.  Senate: ROTOR Act (Rotorcraft Operations Transparency and Oversight Reform Act) Would require all aircraft to be equipped with ADS-B In and repeal certain military exemptions from the technology requirements. Passed the Senate by unanimous consent in December, with strong support, including from ALPA. The House rejected it on February 24, 2026, falling one vote short of the two-thirds majority needed after the Defense Department raised national security concerns House: ALERT Act (Airspace Location and Enhanced Risk Transparency Act) House lawmakers revised the bill to explicitly include an ADS-B In mandate after the earlier version was criticized for failing to clearly require it. The updated version requires that aircraft carry both ADS-B In and ACAS X (Airborne Collision Avoidance System X), integrated so ADS-B In data feeds the alerting function. Opposition: ALPA doesn’t endorse it, arguing that ACAS Xa (the large-commercial-aircraft variant) isn’t yet commercialized, that no integration standards exist, and that the system suppresses alerts below 1,000 feet when situational awareness matters most. The NTSB also declined to support it, saying it falls short of requiring ADS-B In for all aircraft operating in airspace where ADS-B Out is already required, even though it allows compliance via portable receivers with line-of-sight limitations. Air France and Airbus found guilty of manslaughter over 2009 plane crash A Paris Appeals Court found Air France and Airbus “solely and entirely responsible” for the 2009 AF447 accident, which killed 228 people when it crashed into the Atlantic Ocean. The companies were cleared in April 2023 but were found guilty after an eight-week trial. Both Air France and Airbus have denied the charges and say they will appeal. In 2012, French investigators found a combination of technical failure involving ice in the pitot tubes and pilot confusion over faulty air-speed readings. Pilot training has since been modified, and pitot tube sensors have been replaced. 20 Sue Delta Over 2.5 Minutes of Terror on Flight Out of Utah A lawsuit has been filed against Delta Air Lines on behalf of 20 passengers of Delta Flight 56, claiming that pilots “recklessly flew” too close to thunderstorms, where severe turbulence caused multiple injuries. The turbulence lasted 2 1/2 minutes over Wyoming, and the flight was diverted to Minnesota. Twenty-five people were transported to local hospitals. The NTSB said the pilots were caught by surprise. In the lawsuit, the plaintiffs allege that the National Weather Service issued an advisory warning that turbulent conditions were present in the mountains east of Salt Lake City and that thunderstorms were present along portions of the flight path. Apparent engine fan blade failure preceded rupture of Ryanair 737 window The Air Current reports that the rupture of a Ryanair Boeing 737-800 window resulted from a fan blade failure on the right CFM56-7B engine. Fan blade failures are serious but rare. Aircraft engines are designed to contain fan blade failures and are tested during the certification process.  The FAA issued airworthiness directives to mitigate the risk of fan blade failure through inspections and an engine inlet redesign to ensure containment. The FAA set a July 31, 2028, deadline for compliance. Small plane makes hard landing into New York's East River, officials say A Kodiak 100 seaplane with eight people on board made a hard landing in the East River between Brooklyn and Manhattan. There was “substantial damage” to the plane, but there were no injuries. The plane bounced three times, and the pilot subsequently told the passengers that a pontoon had broken. A pattern of progressive porpoise leading to structural failure appears in NTSB seaplane accident reports across various types, including Cessna 206 and 208 Caravan floatplanes, de Havilland Beavers, and Twin Otters on floats. A few East River/urban seaplane-specific factors that might be in play: Wake and chop from harbor traffic (ferries, tour boats) create a much less predictable water surface than open lake/bay operations. Confined approach corridors near Skyport limit go-around and abort options if the pilot senses a bad touchdown developing. The area has had at least one other recent seaplane mishap (a two-seater damaged by a wave three weeks prior), suggesting water-surface conditions have been a recurring operational challenge this season. The NTSB and FAA will be looking at whether this was primarily a pilot technique issue (porpoise recovery), an environmental factor (wake/wave state at touchdown), or a mechanical issue in the float attachment itself. Spurwink Farm International Fly-In From the fly-in, Micah brings us interviews with Spurwink Farm Manager Christina Mitchell, listener Tad Yergey, and Cessna 185 Floatplane Pilot John Hartz. John Hartz, one and a half of his children, and his Cessna 185. Micah at the Spurwink Farm Fly-In, Mentioned Ever wonder if pilots become frightened during an emergency? In the Stories About Flying podcast, Rob looks at the topic through the lens of a near catastrophe: “Aircraft Emergencies and the Saga of Speedbird 009.” NightSide with Dan Rea, WBZ NewsRadion, Not Just A Plane Topic. Hosts this Episode Max Flight, our Main(e) Man Micah, David Vanderhoof, and Erin Applebaum.

This won't apply to many Who think that use of the..... Phone is dead. But contrary to what many think, speaking to people on the phone still works. If you do it well. It's harder than it ever was to get through for sure. But if you combine calls along with other forms of cold outreach (such as email and direct mail) then it still works. Not to sell there and then but to create enough intrigue and interest to make someone want to have another conversation. Many would say there is no good or bad time to call but over the last 6 months as I have made calls for both my business and that of some customers, some trends have appeared. All covered in this week's podcast. Links below. If of course you think I am the Devil incarnate by even suggesting people should still pick up the phone and speak to people they don't know then you won't want to listen. It's ok, I understand. I guess those inbound leads are just flying in......

Le maire de Vaudoué raconte l'avancée fulgurante de l'incendie dans la forêt de Fontainebleau. Alertés par les fumées en milieu d'après-midi, les habitants les plus exposés ont été évacués quelques heures plus tard, alors que le vent rabattait flammes et fumées sur le village. Selon lui, les pompiers ont sauvé les premières maisons en les arrosant directement, tandis que près de 1.000 hectares ont brûlé en une journée.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Send us Fan MailDrew responded to an Alert 1 (we'll explain) and Doug is back from a not so hot Zurich. We discuss:Happy 250th America Big SAS orderAir New Zealand defers upcoming ordersEasyJet being acquired?What exactly do gate agents do as they “open” a gate?Contributor commentsJoin The Network!https://www.nexttripnetwork.com/

[Part Two of Two] Investigative journalist Mandy Matney is still processing — but she's not shrinking. In Part Two, Mandy begins the episode reflecting on how Greg Parker's scorched-earth legal campaign was supposed to scare her into silence and instead flipped a switch. Then David delivers a blistering First Amendment Moses Moment, calling out Parker's attorneys for using the court as a weapon against a non-party journalist — asking what she was wearing, how many Instagram followers she has, and why she dared to eat dinner in public. And ⁠Liz Farrell⁠ breaks down Parker's desperate venue transfer motion, which weaponizes LUNASHARK's own Crowd the Courthouse 1.0, 2.0 and 3.0 posts as evidence of jury contamination.  Then we roll the tape: Debbie B. Barbier's closing argument, Judge Kelly's bench remarks, and the moment the courtroom turned. The billionaire's lawyers claim billings in the hundreds of thousands of dollars for the failed deposition. But Parker still can't buy or force Mandy's silence. Let's Dive In…

Alert overload, 24/7 coverage gaps, and human threat actors who never stop — the SOC has problems that traditional SOAR and rule-based systems simply can't solve. In this sponsored videocast, KuppingerCole analyst Matthew Gardiner and Rick Bosworth, Head of Product Marketing at Torq, dig into the findings of KuppingerCole's Emerging AI SOC Leadership Compass and explore what it actually takes to build an AI-powered security operations center. Key Topics: ✅ Why rule-based SOAR has hit a wall — and how AI agents address what it can't✅ The autonomy dial: why full automation isn't the goal and how to build trust incrementally✅ Integrations, RAG, and MCP: the new data infrastructure powering AI agents in the SOC✅ DIY SOC vs. managed providers: how agentic AI is reshuffling the build-vs-buy decision✅ Where to start: alert triage, phishing, and typosquatting as low-risk entry points✅ Guardrails, transparency, and the non-deterministic challenge of AI-driven security "AI agents hate people because they're slow" — but full autonomy isn't the answer either. Find out how leading SOC teams are finding the right balance between speed and control. This videocast is sponsored by Torq — featured in KuppingerCole's Emerging AI SOC Leadership Compass. Read the report, then watch this session to hear the findings brought to life.

Alert overload, 24/7 coverage gaps, and human threat actors who never stop — the SOC has problems that traditional SOAR and rule-based systems simply can't solve. In this sponsored videocast, KuppingerCole analyst Matthew Gardiner and Rick Bosworth, Head of Product Marketing at Torq, dig into the findings of KuppingerCole's Emerging AI SOC Leadership Compass and explore what it actually takes to build an AI-powered security operations center. Key Topics: ✅ Why rule-based SOAR has hit a wall — and how AI agents address what it can't✅ The autonomy dial: why full automation isn't the goal and how to build trust incrementally✅ Integrations, RAG, and MCP: the new data infrastructure powering AI agents in the SOC✅ DIY SOC vs. managed providers: how agentic AI is reshuffling the build-vs-buy decision✅ Where to start: alert triage, phishing, and typosquatting as low-risk entry points✅ Guardrails, transparency, and the non-deterministic challenge of AI-driven security "AI agents hate people because they're slow" — but full autonomy isn't the answer either. Find out how leading SOC teams are finding the right balance between speed and control. This videocast is sponsored by Torq — featured in KuppingerCole's Emerging AI SOC Leadership Compass. Read the report, then watch this session to hear the findings brought to life.

[Part One of Two] The first hearing in Alex Murdaugh's retrial was supposed to signal a new era for Team Murdaugh. Dick Harpootlian promised bigger, bolder, different. What we got instead? Old Dick. Old Trick. Investigative journalists Mandy Matney and ⁠Liz Farrell⁠ break down every move from the June 29 scheduling hearing before Judge Debra McCaslin — the no-nonsense judge who called the warden herself, set a firm April 5, 2027 trial date, and wasn't about to let Dick charm, delay, or bully his way through her courtroom.  From the shackle saga to the laptop drama to Team Murdaugh's DNA boondoggle, it's all here. Plus: what Dick's courtroom behavior may reveal about his real strategy — and why the Becky Hill federal lawsuit might not be about the money at all. Let's Dive In…

A talk by Thanissaro Bhikkhu entitled "Mindful, Alert, & Ardent"

This show is mostly covering WSOP 2026 weeks 3-4. Timestamps are as follows... (0:05:09): Druff plays the $1k WSOP Seniors event... did he finally break his late day 2 curse?.... (0:32:26): Some players are unhappy with the new multi-flight format allowing Day 2 bustouts to re-register Day 1.... (0:39:58): Exact two holecards dealt to each position of the table (with identical board) two hands in a row at WSOP event.... (0:52:25): Idiotic foreign player lights up cigarette during $3k NL Holdem event, refuses to put it out, gets disqualified and banned, tries to take chips with him.... (1:05:15): Poker HOF makes major changes regarding induction/nomination procedure, and Justin Bonomo already smells a conspiracy.... (1:20:15): Druff gives some quick tips regarding food and shows while in Vegas for WSOP.

Hello to you listening in Ambler, Pennsylvania! Coming to you from Whidbey Island, Washington this is Stories From Women Who Walk with 60 Seconds for Motivate Your Monday and your host, Diane Wyzga. This much I know. I have come to expect too much - of myself, of my plans, of my aspirations. My expectations were giving me heartache. It was time to step away, create some distance between me and my expectations. We are taught to exceed our expectations! And yet when we let go a bit, make room for the possibility that an event, an objective, an outcome might unfold in ways we could not have expected we are inviting a variety of possibilities! If outcomes do not conform to what we expected does that mean we failed? No. Practical Tip: The unforeseen gives us a chance to be flexible, to see something positive in the unexpected outcome. Now we get to adapt. The more we strengthen our adaptability muscle the more resilient we become. The more resilient we become the more capable we are of recognizing that Life is one grand experiment asking us to stay open, alert and optimistic as we set intentions and release expectations. Guaranteed! You're always welcome: "Come for the stories - Stay for the magic!" Speaking of magic, I hope you'll subscribe, share a 5-star rating and nice review on your social media or podcast channel of choice, bring your friends and rellies, and join us! You will have wonderful company as we continue to walk our lives together. AND!  Stop by my Quarter Moon Story Arts website during reconstruction, email me [info@quartermoonstoryarts.net] to arrange a no-obligation Discovery Call, and stay current with me as Quarter Moon Story Arts on Substack. Stories From Women Who Walk Production Team Podcaster: Diane F Wyzga & Quarter Moon Story Arts Music: Mer's Waltz from Crossing the Waters by Steve Schuch & Night Heron Music ALL content and image © 2019 to Present Quarter Moon Story Arts. All rights reserved.  If you found this podcast episode helpful, please consider sharing and attributing it to Diane Wyzga of Stories From Women Who Walk podcast with a link back to the original source.

A CIA-alert UFO case, a psychic's World Cup catastrophe warning, Bigfoot sightings, mysterious ancient carvings, time-travel theories, and secrets hidden in newly released government files—this week's Paranormal 60 News with Dave, Greg and The Colonel, is packed with the stories everyone will be talking about. CIA on ALERT, CATASTROPHE, & CREATURE Edition - The Paranormal 60 News See Dave Live in 2026: https://www.darknessradio.com/darknessevents/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join us on #texasvaluesreport with special guest Brandon Hall, Texas State Board of Education Member, District 11, & guest host Mary Elizabeth Castle, Director of Government Relations for Texas Values, as we fight against left leaning organizations who want to erase 250 years of history! Alert! Sign -Up to Testify at Texas Education Board TODAY! Registration Closes Tomorrow at 5p.m. https://txvalues.org/alert-sign-up-to-testify-at-texas-education-board-today-registration-closes-tomorrow-at-5p-m/ Texas Values is coming to a city near you. For more details, visit http://txvalues.org/events/ Help us build our channel so we can maintain a culture of Faith, Family, & Freedom in Texas by interacting with us; like, comment, share, subscribe! For more about Texas Values see: Txvalues.org To support our work, go to http://txvalues.org/give/

Play NowNew Age of the Primes and Generations reveals are all over the start of the 403rd Seibertron.com Twincast / Podcast. Joyride, Tailgate, Unicron and many more get looked at first, then the talk moves on to the clear plastic Weaponizers just released at overseas retail. Powerlix Red Alert with no fewer than eight Mini-Cons leads into a look at one of the SDCC exclusives for the year, with a Jem and the Holograms collaborative release featuring Blaster and the Kiss Players cassettes. A pair of listener questions get the crew diving in to more character re-imaginings and the top "Top 5" articles from the site archives before the episode closes out with the recurring Bragging Rights segment.

Scent Work Judges and trial officials offer a unique and informed perspective that can provide golden nuggets of brilliance and insights to competitors. Enter Scot Singpiel of the Alert! Scent Work Podcast, who interviews these experts from a competitor's perspective. In this spotlight episode, we highlight what inspired Scot to create the Alert! Scent Work Podcast, his desire to learn as much as possible, a rundown of his future goals and his epiphany that Scent Work promotes growth on both ends of the leash, pushing handlers to become even more resilient than they thought ever possible. Give the Alert! Scent Work Podcast a listen today! Follow the Alert! Scent Work Podcast on Facebook. Speaker: Scot Singpiel Dianna L. Santos TRANSCRIPT Click here to read the transcript Scent Work University hosts a large library of online courses, webinars, seminars, virtual events and eBooks all focused on Scent Work. No matter where you are in your sniffing journey, just getting started, building more advanced skills or trialing at the highest levels, we have a training solution for you! Become a Scent Work U Member to gain access to the Monthly Challenge with new monthly themes and fresh challenges every week, enjoy exclusive member-only events and discounts toward eligible enrollments. Interested in other dog sports, helping a new dog or puppy learn the ropes to be more successful at home and when out and about? Check out the Pet Dog U Program, where we offer a variety of online dog training services and resources you and your dog will love. #allaboutscentworkpodcast #scentworkjudges #noseworkjudges #scentworktrialofficials #noseworktrialofficials #scentwork #nosework #trainscentwork #trainnosework #alertscentworkpodcast #scentworktrials #noseworktrials #scentworkpodcast #noseworkpodcast #onlinescentwork #onlinenosework #virtualscentwork #virtualnosework #scentworku #scentworkuniversity

This episode covers WSOP weeks 1-2.... (0:09:19): Announcement: The PFA hashtag for WSOP updates is BACK!.... (0:16:28): Druff does super late registration for his first two events -- how did they go?.... (0:57:49): Isildur (Viktor Blom) stupidly mucks ace high without showing it down, after getting called by king high, in major WSOP event.... (1:15:33): HUGE dealer fail at critical stage of WSOP GG Million$ event busts Ricky Landais when he had opponent almost drawing dead.... (1:40:13): Andrew Moreno not allowed to deposit money from Aria tournament win at WSOP cage -- but is there more to the story?.... (1:57:24): Malfunctioning parking arm issue continues to dog tournament players exiting WSOP garage.

In this podcast episode, I sit down with Col. Jesse Boulden, Commanding Officer and Director of the International ALERT Academy.A graduate of ALERT himself (Unit 40), Col. Boulden now leads one of the most unique and impactful Christian discipleship programs for young men in the world. With its military-style structure, rigorous training, and strong emphasis on biblical manhood, brotherhood, and spiritual growth, ALERT Academy transforms ordinary young men into exceptional leaders equipped to serve in their communities.Cadets are trained in high-level skills including scuba diving, flying, rock climbing, firefighting, and EMT certification — all while being deeply rooted in Scripture and Christian character.We dive into:What life at ALERT Academy is really likeThe heart behind its mission to build spiritually sound, physically strong, and service-ready menStories of transformation, leadership, and discipleshipPractical wisdom on raising boys into godly men in today's cultureCol. Boulden's personal journey from cadet to commanding officerWhether you're a parent, a young man discerning your next steps after high school, a pastor, or anyone passionate about biblical masculinity and purposeful living — this conversation is packed with insight, inspiration, and challenge.Tune in to discover what it truly means to be “forged” for greater impact.Support The Doron Keidar Podcast on Patreon: ⁠https://www.patreon.com/cryforzionnLearn more about The International ALERT Academy here:https://alertacademy.com/#podcast #DoronKeidar #TheDoronKeidarPodcast #alertacademy #training #manhood #emt #pilot #diving 

Alert your local DSA chapter because Joe Rogan of the left and known Zohran Mamdani associate Adam Friedland zoomed in from his studio in NY to talk Marc Maron, Bob Dylan and Patrick Bet David, and then LA via Aleppo's own Bedouine (aka singer-songwriter Azniv Korkejian) and her wonderful band performed "One Thing Right" from her album "Neon Summer Skin" which is out tomorrow!Support Office Hours, watch another hour of today's episode with a look at the latest nonsense from Donald Trump, a game from Doug, and much more with OFFICE HOURS+. Try it FREE for seven days at patreon.com/officehourslive.Shop our merch store at officehours.merchtable.com and find the rest of our links at linktr.ee/officehourslive.One thing to pack, five ways to power! Get up to 40% off @Ridge during their Father's Day Sale at Ridge.com/officehourslive #Ridgepod See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Raghu Nandakumara sits down with two heavyweights in cybersecurity: Dr. Anton Chuvakin (Google Cloud) and Erik Bloch (Illumio), for a candid, often funny, and occasionally sobering look at why detection and response keeps fighting the same battles it was fighting 20 years ago. From the birth of SIEM and the coining of "EDR," to the short-lived reign of XDR, to today's AI hype cycle, Anton and Erik trace the full arc of the industry's evolution and interrogate why, despite decades of tooling investment, the fundamental outcomes haven't changed.  Alert fatigue, signal-to-noise ratios, and the needle-in-the-haystack problem remain as stubborn as ever –and the slides security teams are building in 2025 look suspiciously like the ones from 2003. Raghu, Anton, and Erik discuss: Why the SOC still largely runs on a 1990s operating model and what it would actually take to change that How compliance pulled SIEM away from detection for over a decade and why that hangover still lingers Why a handful of engineering-led organizations (Google, Netflix, a European bank) have cracked the code while nearly everyone else keeps applying band-aids The pharmaceutical industry analogy that explains why security startups keep building band-aids instead of solving root causes What MDRs are doing right and why enterprise SOCs have no incentive to learn from them Why AI is accelerating tooling but, for some organizations, actually slowing down the harder transformation work How securing AI is repeating the exact same mistakes made in the early days of cloud Stay connected with our host Raghu on LinkedIn For more information about Illumio, check out our website at illumio.com

Scams and safety threats don't always announce themselves. Sometimes they start quietly, with a moment of distraction, a strange feeling you ignore, or a situation that shifts just enough to test whether you're paying attention. My guest today is S. Gale Bleth, a personal safety educator, certified RAD self-defense instructor, speaker, and author of Aware: A Personal Safety Playbook for Leaving the Nest. Gale brings a deep background in crime prevention and safety education, including 16 years at Cal State East Bay and 16 years as a crime prevention specialist with the Hayward Police Department. Personal safety is not about walking around scared or suspicious of everyone. It is about giving yourself a few simple habits to fall back on when something feels off, so you can pause, read the situation, and decide what to do next. We talk about Gale's AWARE method, the idea that most safety starts with education, and the small choices that can matter more than people realize: putting the phone away in a parking lot, noticing exits when you walk into a building, and trusting that uneasy feeling instead of brushing it off. Gale also explains what makes someone a useful witness, why details matter, and how awareness can help without turning everyday life into something fearful. Show Notes: [01:00] S. Gale Bleth shares how her career began in higher education, where she worked with student organizations, supported campus events, and discovered her interest in teaching and training. [03:10] A campus safety role led to RAD self-defense training, which eventually became a major part of Gale's work and helped shape her approach to personal safety education. [05:28] How children's safety training has evolved, including the continued importance of stranger awareness and helping kids recognize uncomfortable touch. [07:00] The meaning behind Gale's AWARE method: Alert, Watch, Assess, Respond, and Escape. [09:36] A practical example of how the AWARE method can help someone assess risk in a social setting and decide whether to stay or leave. [13:10] Why people need to trust the feeling that something is off instead of dismissing their instincts or ignoring their surroundings. [15:00] Cooper's color code of awareness explains the difference between being unaware, casually alert, actively concerned, and forced to respond in danger. [18:00] Education plays a major role in personal safety because it helps people avoid freezing or panicking when something unexpected happens. [19:45] The importance of knowing escape routes in public places, especially at concerts, restaurants, theaters, and other crowded locations. [22:13] What it looks like when someone's behavior does not match the setting, and why that can be a signal to pay closer attention. [24:30] How to balance awareness with basic kindness when interacting with people who may seem unstable, angry, or unpredictable. [27:58] Confident body language, voice, and boundaries can help people protect themselves before a situation escalates physically. [28:33] Why phones create vulnerability in parking garages, airports, travel settings, and other places where attention matters. [31:45] The AWARE method can become an everyday safety habit that helps people notice, assess, and respond with more confidence. [33:01] Being a good witness can be more helpful than trying to be a hero, especially when law enforcement needs clear details. [35:10] Gale explains how to practice observing people, vehicles, direction of travel, clothing, and other details before an emergency happens. [37:20] Specific details such as tattoos, accents, clothing, weapons, or which direction someone ran can make a witness report much more useful. [39:34] Vehicle descriptions, license plates, cameras, and direction of flight can all help investigators connect important pieces of information. [42:33] Gale shares where listeners can find her online and learn more about Aware: A Personal Safety Playbook for Leaving the Nest. Thanks for joining us on Easy Prey. Be sure to subscribe to our podcast on iTunes and leave a nice review.  Links and Resources: Podcast Web Page Facebook Page whatismyipaddress.com Easy Prey on Instagram Easy Prey on Twitter Easy Prey on LinkedIn Easy Prey on YouTube

What does ancient wisdom actually look like in everyday life? In this episode, we sit with Verse 15 of the Tao Te Ching to explore why the modern obsession with constant action and "mountain-top" achievements might be keeping us stuck. Through Lao Tzu's imagery of crossing thin ice, becoming like a valley, and letting muddy water settle, we learn that sometimes the most powerful action we can take is to step back, put the glass down, and let clarity happen on its own.Grab a warm drink, take a deep breath, and let's slow down for a few minutes.**** Intro: The mistake of "stirring the pot" when we need answers.**** The Verse: A slow reading of Verse 15.**** The Ice: Why walking on thin ice demands an absolute honesty that can't be faked.**** The Valley: Shifting away from a culture that worships the mountain, and finding the quiet power of receptivity.**** Mud & Water: Why a glass of muddy water doesn't need to be fixed—it just needs to be set down.**** Releasing the Grip: Living in the present instead of waiting for life to "finally arrive."The ancient Masters were profound and subtle.Their wisdom was unfathomable.There is no way to describe it; all we can describe is their appearance. They were careful as someone crossing an iced-over stream.Alert as a warrior in enemy territory.Courteous as a guest.Fluid as melting ice.Shapable as a block of wood.Receptive as a valley.Clear as a glass of water.Do you have the patience to wait till your mud settles and the water is clear?Can you remain unmoving till the right action arises by itself?The Master doesn't seek fulfillment.Not seeking, not expecting, she is present, and can welcome all things.Where in your life right now are you desperately stirring the water? What would happen if you just set the glass down and let gravity do its work?If you enjoyed this episode, please consider subscribing, leaving a review, or sharing it with someone who needs a few quiet minutes today.In This Episode, We Discuss:The Verse: Verse Fifteen (The Ancient Masters)A Question to Carry With You This Week:

This is our 2026 WSOP preview episode.... (0:10:08): New WSOP rule regarding sponsorship patch permission rattles players, bans Coin/Phenom/ClubWPTGold gear.... (0:46:24): WSOP changes three rules in order to address 2025 controversies.... (1:14:35): Can you still buyin without fees using a credit card at the WSOP?.... (1:27:21): To max late reg or to not max late reg -- that is the question.... (1:45:00): Druffytime Theater: In 1990, the Palm Springs High Class President invited Druff to come to a big summer party full of hot chicks. What happened next?.... (2:27:09): Accused poker cheat Ye "Tony Mars" Shen arrested in Las Vegas for passing bad checks at the Wynn.... (2:38:51): Streamer Kevin Martin is starting his own reality series called "Poker Wars'. Will it work?.... (3:03:26): The infamous Heart Attack Grill in downtown Las Vegas is closing.... (3:30:17): Canadian blackjack AP had blackjack hands illegally killed while holding two 20s at Boomtown New Orleans.... (4:09:30): Ethan "Rampage" Yau has been scammed for the 4th time since 2022 -- this time by a home game.

When even a seasoned healthcare professional can't navigate the system safely, what would the average patient or family do? We connected with Kathryn Biasotti, a nurse leader and patient safety advocate with more than 30 years of experience in healthcare operations, risk management, and quality. Kathryn shares a deeply personal story of loss that exposes how communication breakdowns and documentation gaps can lead to devastating outcomes, even in well intentioned systems. Watch the video version here. Chapter Timestamps 00:00 Preview clip 00:57 Welcome to The Digital Healthcare Experience 01:23 Introduction to Kathryn Biasotti 02:11 A personal story of loss and missed opportunities 02:57 Breakdown in communication and care coordination 04:17 Lack of transparency and delayed interventions 06:41 What would the average family do without medical knowledge 08:07 Structural failures and systemic gaps in care 09:07 What the Patient Safety Structural Measure aims to fix 12:25 Communication failures and the risk of litigation 14:02 Why communication remains the leading cause of safety events 15:27 The role of patient advocacy and leadership accountability 17:06 Building a culture of safety from the top down 18:48 The role of AI in improving patient safety 21:08 Alert fatigue and the human factor in technology 23:56 Implementing AI responsibly in healthcare systems 25:37 The most important takeaway for healthcare leaders   Connect with Kathryn on LinkedIn at https://www.linkedin.com/in/kathryn-biasotti-49680611b/ Find Kathryn's work at https://www.pfps.us #digitalhealth #patientsafety #healthcareinnovation #riskmanagement #healthcareai #patientexperience Subscribe and stay at the forefront of the digital healthcare revolution. Find out why we're the fastest growing digital health channel on YouTube!  The Digital Healthcare Experience is a hub to connect healthcare leaders and tech enthusiasts. Powered by Taylor Healthcare, this podcast is your gateway to the latest trends and breakthroughs in digital health. Learn more about The Digital Healthcare Experience here. Taylor Healthcare empowers healthcare organizations to thrive in the digital world. Our technology streamlines critical workflows such as procedural & surgical informed consent with patented mobile signature capture, ransomware downtime mitigation, patient engagement and more. For more information about Taylor Healthcare, please visit imedhealth.com   The Digital Healthcare Experience Podcast: Powered by Taylor Healthcare Produced by Naomi Schwimmer  Hosted by Chris Civitarese Edited by Eli Banks Music by Nicholas Bach  

Special discounts up for AIE Melbourne (LS discount) and AIE World's Fair (group discounts up to 25% - CFPs still open for Autoresearch and Vertical AI) Cya there!Abridge did not start as an “GPT wrapper”. It was founded in 2018, years before the Cambrian explosion of AI application layer companies. OpenAI launched ChatGPT publicly on November 30, 2022 and by then, Abridge had already spent years doing the unglamorous work of building trust for one of the highest context, most important workflows in healthcare: the conversation between a patient and a clinician.Abridge's original wedge was clinical documentation. Listen to the visit, generate the note, reduce the clerical burden, and let clinicians spend more time with patients instead of the EHR. By focusing on how doctors actually document, how health systems actually buy, how EHR integration actually works, how clinicians verify outputs, and how missing context during a visit turns into downstream friction across billing, prior authorization, quality, and follow-up, the adoption of LLMs became a force multiplier on a workflow already optimized for sensitive context gathering.The company has scaled fast: Abridge says it is projected to support 80M+ patient-clinician conversations this year across 250 large and complex U.S. health systems, with support for 28+ languages and 50+ specialties. It raised $300M at a $5.3B valuation in June 2025, after a $250M round earlier that year.Today, Janie Lee and Chaitanya “Chai” Asawa of Abridge join us for another crossover pod with Redpoint's Jacob Effron (who is on the board of Abridge) to dive into how Abridge is building the clinical intelligence layer for healthcare starting with ambient documentation, then expanding into clinical decision support, prior authorization, payer/provider/pharma workflows, and eventually real-time agents that act before, during, and after the patient conversation. We go inside the product, data, infra, evals, workflow, privacy, and org design choices behind bringing AI into one of the highest-stakes enterprise environments from 100M+ medical conversations and specialty-specific evals to real-time alerts, EHR integration, de-identification, clinician-scientist teams, and why healthcare may solve some of the hardest AI problems first.We discuss:* Why Abridge started with clinical documentation, “pajama time,” and saving clinicians 10–20 hours a week* The transition from ambient scribe to clinical intelligence layer: save time, save money, and save lives* Why conversations between patients and clinicians may be the most important workflow in healthcare (patient visit summary feature)* Chai's “healthcare-coded Glean” framing: context is king, but healthcare raises the stakes on safety, evals, and rollout* Why Abridge wants AI to feel like “air conditioning”: always in the background, but only interrupting when it truly matters* The prior authorization example: turning a denied MRI weeks later into real-time guidance while the patient is still in the room* Why payer policies, EHR data, medical literature, and hospital-specific guidelines make the problem hard, and also create the moat* How Abridge thinks about ambient form factors: mobile, desktop, in-room devices, nursing workflows, multimodality, and future AR* The multi-sided healthcare customer: CMIOs, CFOs, CIOs, clinicians, patients, payers, and pharma* The hardest AI problem at Abridge: high-quality, low-latency, low-cost real-time support in a high-stakes clinical setting* When Abridge uses frontier models vs proprietary models, and why its unique data from medical conversations matters* Why “every agent is a coding agent underneath,” and how the EHR can be thought of as a filesystem for healthcare agents* How Abridge approaches personalization across individual doctors, specialties, and health systems* Why “AI slop” is AI without context, and how edits, memories, and clinician preferences create a data flywheel* Abridge's eval stack: LFDs, LLM judges, in-house clinicians, third-party evaluators, specialty-specific evals, and progressive rollout* HIPAA, PHI, de-identification, one-way anonymization, customer contracts, and learning from healthcare data safely* What changes when you operate at 100M+ conversations: reliability, cost, post-training, model routing, and infrastructure optimization* Why the same clinical conversation can serve doctors, patients, payers, pharma, and future clinical-trial workflows* How Abridge works with EHRs, and why deep interoperability is table stakes for clinician adoption* Why healthcare AI has regulatory tailwinds, why 80/20 does not work here, and why high-stakes domains may drive AI forward* Why Abridge embeds “clinician scientists” into product and eval teams* What Chai learned from Glean about search, quality, and durable AI infrastructure* Why the future of AI infra may look like context layers, event-driven systems, Kafka, Temporal, sockets, CRDTs, and tools built for humans* Why Janie changed her mind on “PRDs are dead,” and why crisp written clarity matters more in complex AI products* How Abridge uses Claude Code, Cursor, and coding agents internallyAbridge:* Website: https://www.abridge.com/* X: https://x.com/AbridgeHQJanie Lee:* LinkedIn: https://www.linkedin.com/in/janiejleeChaitanya “Chai” Asawa:* LinkedIn: https://www.linkedin.com/in/casawaTimestamps00:00:00 Introduction and what Abridge does00:02:05 From ambient documentation to clinical intelligence00:04:04 Clinical decision support and context as king00:06:57 Alert fatigue, proactive intelligence, and prior authorization00:12:36 Ambient AI form factors and healthcare customers00:16:59 The hardest AI problems in healthcare00:18:26 Frontier models, proprietary data, and model strategy00:21:07 The EHR as a filesystem for agents00:24:03 Personalization, memory, and clinician preferences00:30:40 Evals, LLM judges, and progressive rollout00:36:47 HIPAA, de-identification, and privacy00:39:21 100M conversations and operating at scale00:44:10 EHR integration and the clinical intelligence layer00:46:39 Healthcare regulation, latency, and high-stakes AI00:50:11 Clinician scientists and long-tail quality00:53:04 Lessons from Glean and durable AI infrastructure00:57:03 The future of agentic healthcare workflows00:57:34 PRDs, product clarity, and building serious AI products01:03:11 AI coding tools at Abridge01:04:06 OutroTranscriptIntroduction: Abridge, Clinical Intelligence, and the Latent Space x Unsupervised Learning CrossoverSwyx [00:00:00]: Okay. This is a special crossover Latent Space Unsupervised Learning pod.Jacob [00:00:07]: Very excited to do this.Jacob [00:00:08]: At this point, we get together once a year.Swyx [00:00:10]: Once a yearJacob [00:00:11]: And this is a fun occasion to get to do it on.Swyx [00:00:13]: I really wanted to talk to Abridge but I felt very underqualified because healthcare is not something we cover very intensely. It just so happens that Redpoint's our big investors and supporters of Abridge.Jacob [00:00:27]: Anytime you want to have a portfolio company on your podcastJacob [00:00:29]: Please, by all means.Swyx [00:00:31]: So we'll introduce our guests. Chai and Janie, welcome to the pod.Janie [00:00:34]: Thanks for having us.Chai [00:00:35]: Thank you.Janie [00:00:35]: We're excited to be here.Chai [00:00:36]: Thank you.Swyx [00:00:36]: So for listeners, what do you guys do, just to situate you guys in the company?Janie [00:00:42]: Abridge is a clinical intelligence layer for health systems. We really started with documentation and building for clinicians and as we think about reducing the burden that clinicians have, they're spending 10 to 20 hours a week on documentation. There's a massive doctor shortage in the country. We also think that conversations between patients and clinicians are probably the most important workflow in healthcare. It's where care is given and received but if you think about the 20% of our GDP that goes towards healthcare, almost everything is a derivative of that conversation, whether it's the claim, the payment, the actual diagnosis given, the treatment. And we've started with a conversation to reduce the burden for doctors on documentation but we're really excited about the path ahead as we become this broader clinical intelligence layer.Chai [00:01:34]: I'm Chai. I work on clinical decision support at Abridge.Swyx [00:01:37]: Yes.Chai [00:01:37]: And so as Janie said, we're uniquely situated where we started off with the clinical note. What I'm really excited about and where we're expanding towards is what are all the things you can do before the conversation, during the conversation and after the conversation if you did have access to all the context about patients, payer guidelines, medical literature and put that together and to serve, how healthcare could look fundamentally different.Swyx [00:02:01]: And that's the context engine that you guys have?Chai [00:02:04]: Yes.Swyx [00:02:04]: Is that what it's called? Okay.Swyx [00:02:05]: So historically, as I understand it, the company started in 2018. A lot of people would be familiar with the AI voice notes form factor that doctors would be “Well, do you consent to being recorded?” It replaces handwriting and what have you. But it sounds like more recently there's been a big transition in the company. Tell me about the broader transition.From Documentation to Clinical Intelligence: Save Time, Save Money, Save LivesJanie [00:02:26]: So from a transition perspective, we really think about our journey as The first act was: how do we help save time? And that's where a lot of that original product was.Swyx [00:02:37]: By the way, one of those interesting statsSwyx [00:02:39]: On your landing page was, doctors spend time after hours.Janie [00:02:43]: They call it pajama time.Swyx [00:02:44]: Why is that pajama time?Janie [00:02:46]: Doctors after work in their pajamasSwyx [00:02:48]: In their pajamas. OhJanie [00:02:49]: At home are just writing and catching up on their notes every day.Janie [00:02:53]: Some of our favorite customer love stories, we have a Slack channel called Love Stories. We have clinicians telling us, “Abridge has helped us, from retiring early or we're now finally able toJanie [00:03:06]: go home and eat dinner with our kids for the first time.”Chai [00:03:08]: Save the marriage in some cases.Swyx [00:03:10]: One of the quotes was “We're not divorcing anymore.”Swyx [00:03:12]: I'm asking, “Why?”Swyx [00:03:14]: Because they're working too much.Janie [00:03:16]: But, in terms of where we're going and where we're expanding, we really think about our second and third acts around how do we help health systems save and make more money. Health systems are operating with record-low operating margins. It's getting harder and harder to serve patients and they have regulatory, some tailwinds but also a lot of headwinds coming their way and AI is ripe for helping on the saving and make-more-money piece. And then ultimately, how do we help save lives? The fact that our software and our product is open millions of times a week before, during and after a patient walks in the room, gives us massive opportunity with products like clinical decision support, which Chai is building but so many others to improve patient outcomes and probably one of the most important workflows and problems to be going after right now.From Glean to Healthcare: Context Is KingJacob [00:04:04]: One thing that's interesting, Chai, is you came over to Abridge from Glean and clinical decision support, which for our listeners is, in the context of a visit, helping a doctor figure out the right type of care. It's really a search problem in many ways, going through lots of different data sources. Very analogous to your previous role as one of the earliest engineers over at Glean. I'm sure a lot of our listeners are curious what's similar about the problems that you're going after now and what feels different, now that you're in healthcare.Chai [00:04:33]: Very similar. Taking a step back, with every wave, there's a lot of very similar patterns that happen across different products. A lot of social networking products look the same. A lot of credit-based products look the same. And we're seeing that very similar in the agent era with many companies, of course, in Redpoint's portfolio and so forth. And the key insight between both companies is that you have amazing models but context is king. Context is what puts them to work. So I see it in a lot of ways, a lot of similarities in this is a healthcare-coded version of Glean but the differences are really interesting. A couple things that come to mind. First and foremost, the rigor of the setting we're in. The downside risk is extremely high here in healthcare. It can be fatal in some cases. You prescribe something that the patient is allergic to for example. Whereas at Glean, it's “Oh, you got the question wrong.” It wasn't the end of the world in most cases. And so what does that mean? That shapes our evaluation strategy, both offline evaluation, progressive rollout and there's a lot more we could go into there. Second thing that comes to mind is, vertical versus horizontal. In both cases, there's a large variance but when Glean is, it's a much more horizontal company, there's a variance of personas, companies that you're working with. We also have a variance of personas, different types of specialties, different hospital systems. But the variance is a little more narrow. So from a product perspective, you're able to focus far more, especially when you have a maturing technology and you're building new products that never existed before. It lets you go after them much more easily and especially in healthcare where so many problems were solved with labor and process, that it's extremely ripe for AI to keep helping augment and enable. And the final thing that's really interesting, Abridge specifically compared to many other companies in the AI area, is the modality we started with where we're ambient and we're always listening in the background. And many more AI products will go that way but it's how we started. And that's the greatest form of AI we can create, AI that's seamless. You're not looking at your screen. It's always there. It's always helping you out and being proactive. The Jarvis vision that, every hackathon I went to over the past decade, there was always a Jarvis competitor. But Abridge very much started from the opportunity and continues to go that way.Ambient AI and Alert Fatigue: When Should the Product Interrupt?Jacob [00:06:57]: One thing that is super interesting then from a product perspective is you have this always-on seamless in the background and then you have to decide when you break the wall almost and say, “Hey, clinician, you might not have thought about X,” or whatever it is that you want to do. And in healthcare traditionally there's been this idea of alert fatigue and a million pop-ups and then a doctor just ignores all of them. It's probably a pattern that a lot of builders are thinking through now. How do you think about the right way to intervene or to pop up in a doctor visit?Janie [00:07:26]: It's such a good question. Alerts are notorious in healthcare specifically. Over 90% of alerts are ignored. The first and most important thing is context is everything, as Chai alluded to and I also think about how do we go from being reactive alerting to really proactive intelligence at the point at which it matters most. One thing we like to say is we want our product to feel like air conditioning. It should be in the background just making things better and if there is something that has great clinical risk and we're acutely aware that intervening now and not later is incredibly important, we should decide to act. But if you think about proactive versus reactive, instead of alerting a clinician during a visit when they're with their patient having a pretty serious and sensitive conversation, how do we prep a clinician before they walk into the room with that patient? And so historically, clinicians might have to manually go through charts with a patient that they've had over the course of months or years and they'll try to suss out what are the things they should be doing. You can imagine a world with Abridge. We'll summarize all of the most recent context for you, tell you based on the reason for a visit the patient is coming in for the types of things you should be discussing. And so you're going into that conversation prepped rather than walking in cold to that patient visit and then having this product interrupt you five or 10 times throughout the visit. And there might be times where it's really important to interrupt. We have a product called Prior Authorization and so this is when you may go into a doctor's office with knee pain. They'll prescribe you an MRI and so many of us have had this experience before, where in four weeks you'll get a call saying, “Hey, Sean, that MRI that you were prescribed wasn't approved and why don't you come back in? We'll figure it out.” In a world with Abridge, we might choose to quietly but still alert a doctor in that visit. And alert is probably not even the word we would want to use. Before a patient leaves, we would want to tell the doctor, “Hey, Doctor, before Sean leaves, you should ask him, has he had physical therapy and has his pain lasted for more than six weeks? Because the Aetna plan that he's on in California requires six things. We've already confirmed four of them have been met ‘cause we have all the context. But these two last criteria, if you can address with Sean before he leaves the room, we could guarantee that your MRI is approved before you leave.” And so when you think about clinical usefulness, impact to the patient, there are instances in which if we can catch a doctor while the patient is still in the room, as we think about save time, save money, save lives, we get to check all of those boxes. But when doctors have 15 minutes between visits, we have to be really thoughtful about when it matters.Prior Authorization: Reducing Latency in CareChai [00:10:23]: There's this interesting product opportunity AI has is reducing latency in the world. For example, prior authorization is an example of where care gets delayed and so great AI can reduce that. And the problem with alerts before partially is a technical problem: the quality of your alerts really matters. They're going to get ignored if you get alerts that... Similarly in engineering, where they're noisy alerts that you can't act on. But if you can make really high-quality alerts with both the context, as Janie said, and really high-quality models, then you can create a whole other game.Janie [00:10:53]: And I really like that experience because it starts to tease apart, what makes this so hard and unique. One, to make that prior authorization example possible, think about all the data that you need to have. You need to integrate with the electronic health record to know all of the patient context. Do we have access to your previous labs, previous imaging? And then to match you and to know that you're on Aetna, we have to collect all of the different payer policies and they vary by state. Some of these payer policies live on websites. Some of them live in unstructured 50-page PDF files.Jacob [00:11:31]: I thought this episode wasJacob [00:11:31]: To make sure we didn't scare people from healthcare.Janie [00:11:34]: But when you think about the things that make it hard, it also gives you the moat.Janie [00:11:39]: And then the second is the AI and the model quality we need to be able to hang our hat on. And so the bar, similarly when I worked at Opendoor, I worked on pricing models. Every outlier wiped out the margins of 30 and so similarly here in healthcare, the bar for accuracy is so high. And then I'd say the last is workflow is everything. If insurance companies deploy AI, it typically happens too late and this is when you have the notorious comical examples of AI just fighting each other when it's too late. But if we can pull forward the use of both the AI but also the ability to solve problems when the patient's in the room, you can start to collapse what typically takes weeks or months after your visit, ideally down to minutes or real-time. And it's where healthcare is both very difficult but also extremely rewarding if you can crack it.Product Form Factors: Mobile, Desktop, In-Room Devices, and ARSwyx [00:12:36]: Just to get some baseline on the form factors, because I've seen some videos on your website and stuff. You guys talk a lot about ambient AI. Is it primarily on the phone? Is there any other form factor that people get Abridge in? Is there an Abridge room setup where it's always on? I don't know.Jacob [00:12:55]: An Abridge podcast studio.Janie [00:12:58]: Primary form factor is mobile and desktop. UsuallyJanie [00:13:00]: Clinicians are walking in and out of rooms with mobile but at the end of the day, when they're closing out their notes or wanting to prep for the day ahead, they might use desktop. We have been having a lot of really interesting partnership conversations with a lot of these in-room device companies as you think about the power of multimodality and even more data, as you think about all of what is not captured today. It is fascinating to think about, especially even as we go into building and scaling our nursing product. It's one where nurses constantly, as they're walking in to check in on a patient for two minutes or maybe even 30 seconds,Janie [00:13:43]: Starting an Abridge experience is probably going to take longer than the visit. And so what can we do with in-room devices that are always on starts to raise really interesting and fun product questions.Swyx [00:13:54]: I was thinking, the way in tech companies we have all these Google MeetSwyx [00:13:58]: And other things, we might as well set up entire rooms with just Abridge tech.Chai [00:14:02]: Very much. AR glasses and related form factors are also relevant: how do we bring the information to the clinician in real-time without a screen, while still letting them focus on the patient?Swyx [00:14:18]: Do you think they want that? I'm skeptical of AR, but I'm curious what you've tried.Chai [00:14:26]: Admittedly, it's not a near-term product roadmapChai [00:14:29]: By any means. I'm being far-fetched.Jacob [00:14:31]: There's some sick AR stuff for surgeries.Swyx [00:14:33]: Really?Jacob [00:14:33]: When people are trying to visualize, you're about to make an incision but you want to see, what the cut might look or what the body might look like inside and they can layer in imaging.Swyx [00:14:43]: That's cool.Chai [00:14:45]: At some point in the future.Janie [00:14:46]: But there are a lot of our largest customers and at the largest health systems integrating already and so even as we think about building into it, unlocks a lot of product capabilities.Swyx [00:14:57]: And just to establish the terminology. Sorry, and I know I'm asking basic questions somewhat for myself but also for the audience who might beHealth Systems, Buyers, Clinicians, Patients, and PayersSwyx [00:15:05]: Less integrated. When you say health systems, it's like the Johns Hopkins, the Kaiser Permanentes.Janie [00:15:09]: Mayos, the Kaisers of the world.Swyx [00:15:10]: These are your customers, right? And the outcome that you deliver for them is happier doctors, reduced cost of processing, reduced mistakes. It's weird in a sense that I feel like there's also, a secondary customer, the customer of the customer and I don't know if you — do you think about it that way?Janie [00:15:28]: The other interesting and complex part of building product is we have our buyers, who are the chief medical information officersJanie [00:15:39]: The chief financial officers, the CIOs of these large health systems. Our users today are clinicians but if you think about who downstream is impacted, it's patients. And so as we build, with every product in mind, we think about who we're building for, who the secondary user is and what does that mean either in terms of experience, security compliance, ROI that we have to make tangible. And so like you said, time savings is one of them. But for CFOs, they care a lot more than just time savings. We have to show for every dollar you put into Abridge, because you have more compliant documentation or because you have fewer queries coming from your billing team, we save or add real dollars to your bottom line or top line, are things that we're constantly thinking about because of the dynamic across all three sets of users.Chai [00:16:32]: There's a whole other axis too with the payers and pharmaChai [00:16:35]: as well. Connecting all these three big stakeholders in healthcare isSwyx [00:16:39]: Do the payers ever see your data? Sorry, the payers meaning the insurers, right?Chai [00:16:44]: Yes.Swyx [00:16:44]: They also see Abridge data?Chai [00:16:47]: NoSwyx [00:16:47]: Like the direct integration to you guysChai [00:16:48]: They wouldn't see the raw Abridge data but when you're working together on something like prior authorization, whatever information they need, we'd communicate to them.Jacob [00:16:59]: That's cool. I would love to dig into the AI side. You still have a lot of problems on the AI side. And so maybe to start at the highest level, what's one of the hardest problems you have to solve in AI at Abridge today?The Hardest AI Problems: Quality, Latency, and CostChai [00:17:11]: To make things simple, let's take, building off the prior auth example. So one thing Janie talked about is okay, this data is all over the place and there's this combinatorial explosion of procedures, payer policies and even sometimes different health systems. There can be some cross-product of all of these different considerations you have to take into account. But what's really hard about this problem is doing it real-time in the conversation. So, in any AI product, usually the three KPIs you care about are quality, latency and cost. Now, what we're saying is we want you to do this real-time in the conversation, guiding the clinician. How do we do it in a way that does not break the bank? But we're using — But we also need very intelligent models because you're working with this cross-product of data and this, all this context layer as well. So you need high intelligence and high-quality because you don't want the alert fatigue but you also need to be fast and cost-effective. And so that's where a lot of clever engineering goes. It's okay, without getting into all the details here, can you model these policies in some intermediate representation or other things that you can do that can make this problem tractable? And of course, the Pareto frontier is always changing but we are also trying to do this now.Model Strategy: Third-Party Models, Proprietary Data, and Medical ConversationsJacob [00:18:26]: What implications has that had for what you take off-the-shelf and say, “ what? We don't need to be world-class at X. We'll just take this from the model providers or from some infrastructure player,” and what you're “No, this is where we spend most of our time focused on”?Chai [00:18:38]: This is, the fun challenge in AI?Jacob [00:18:42]: It changes every three months? SoChai [00:18:42]: Of course, with the shifting landscape, we try to be extremely thoughtful on predicting the trends of where third-party models are going and where we can uniquely go. And, sometimes when you talk about AI models, we're the models are just going to get infinitely better. But I don't think... It may be in the grandness of time you could say that but, within every month, every quarter, there's specific ways they're getting better. They're training on a lot more, coding data to be better coding agents, for example. And soChai [00:19:14]: We have to think about where are the things that won't — unique data that we're uniquely training on or to step back a little, where is a proprietary model bringing advantage to us is if it can give higher quality or lower cost and latency for similar quality, very similar to many other companies. And when we can do that is when we have proprietary data. So, for example, we have on the order of eighty million or hundreds of millions now getting close to of medical conversations.Jacob [00:19:44]: It's insane.Chai [00:19:45]: This is a unique data set. And this data set, it's very interesting because this data set is effectively a large part of the trace between the patient and the provider. That's where the quote-unquote debugging happens in healthcare. We have these traces at scale, as in as, our CEOs even called it, an exhaust that comes out of our product. And so when you have these traces, that's how you can train better agents on certain use cases, whether it's your transcription diarization use cases or so on or like note generation models and we can do that much cheaper and faster. But we're always also working with these third-party model providers. We closely collaborate with them and that's how we predict where the trends are going. The thing that I think about a lot is that, I know that the model providers are going to train much more on agentic workflows and so forth, so that's great, so that you have a better agentic harness. But the other thing that's interesting is that the model providers, because a large class of the consumer model providers is healthcare queries, that they might, optimize to train a lot of healthcare data to encode the knowledge in its weights. And this is just a great thing for us as well, where the off-the-shelf models can keep bett-getting better at general healthcare information, such that what our strategy is, we have a constellation of models, we can use something for this, that and, we only care about, at the end of the day, the best product experience.EHR as File System: Agentic Workflows and Real-Time InterfacesJacob [00:21:07]: And, you have, overall capabilities improving. I'm curious, as these models get better, is there something you look at and you're “, three months ago, we really couldn't do that but God, the the latest models really allow us to do it”?Chai [00:21:19]: So here's something interesting that I've, been toying with. So all models are... This wasn't super obvious a year ago but now it's become clear and clear that almost every agent is a coding agent underneath the hood? So you give it whatever file system, it can write its own code and so forth. So when you think about within healthcare and the use case that we have, you can think of the EHR effectively like a file system. It's just — it's a storage of all this information. It's a lot of information there that cannot fit into the context window, at least of today's models and you want to use that context effectively for all these product use cases we're talking about. And so if you have better agents that can, manipulate data, read that data, treat it as a file system as we see they're going and we know model companies are investing this way, then that very directly benefits us.Swyx [00:22:09]: Yeah. Okay, cool. Again, just establishing basic things. But we're going back to the model stuff. I'm really interested in double-clicking more on the real-time, element, which is pretty important for both of you. Is it — Is real-time just batches of every one minute, every five minutes? Is that how we do it? Or is there some more native, genuinely real-time in the sense that OpenAI has a real-time API or Gemini has a real-time API?Chai [00:22:35]: Yeah. Yeah. So today it is more on the on the batch basis but there's interestingChai [00:22:41]: Prototypes that we have that we're still not fully, full time, voice in text out or in that sense. But, can you trigger your models, your agents or agentic workflows, depending on the right times in the conversation?Chai [00:22:58]: And so you can imagine, different techniques to bring this latency down and, you want to bring the feedback loop down as much as you can. And so a lot of clever engineering there without fully... Maybe one day we'll do full voice in and text out, train a model to do something like that.Swyx [00:23:15]: You do — People don't want voice in voice out?Chai [00:23:18]: Now we aren't creating experiences that are, during the conversation, inter — It's almost likeSwyx [00:23:25]: Might be too disruptiveChai [00:23:26]: Too disruptive until, who knows, maybe eventually you could have full voice agents once we — the quality and we improve the comfort of the technology. But right now gra — that change is much more gradual and it's more text focus, text out.Janie [00:23:42]: And so much of currently what our product is trying to do is allow a clinician to focus on their patient and maybe at some point but right now patients, clinicians don't want a third voice, at least in a literal voice in that room. And so how do we be there with all the contacts and information ready at hand when there's the right moment?Personalization: Individual Doctors, Specialties, and Health SystemsJacob [00:24:03]: Jenny, one thing I'm curious about is how you think about, personalization in the product. I imagine, every doctor is a special snowflake in their own way, has their own way they like to do things. There are probably a bunch of different approaches you could take to doing that, both within the model layer itself but then also just with clever prompting or engineering. How do youJacob [00:24:20]: Deliver on that?Janie [00:24:21]: It's such a good question. Personalization is massive for us. We think about personalization at three levels. The first is at the individual, the second is at the specialty level and then the third is at the health system or the organization level. To your point, there are a lot of individual preferences. You-When a note is produced, it almost is a reflection that is so deeply personal of a doctor's work and how they give care. And so do they have preferences on things like style? They might want bullets versus paragraphs, really concise versus comprehensive. They also might have phrases that they really like to use or the templates that they want every note to be structured. And, we see it in our feedback all the time. We want two spaces in between sentences or I refuse to use this tool. And so that's something that we've had to build in. And the tricky part is how do you make sure that stylistic preferences don't interrupt accuracy and quality and that's something that we've really had to refine and hone over time. Second is at the specialty level. A cardiologist note or workflow is going to look very different from a dermatologist workflow.Jacob [00:25:32]: I assume cardiology notes are the highest stakes for you guys, given your CEO is a cardiologist.Jacob [00:25:36]: It's “Oh my God, make sure we get this one.”Janie [00:25:37]: Shiv, our CEO, is still a practicing cardiologist. He rounds once a month. And so, first call when we want just quick and easy user feedback too.Janie [00:25:46]: But, specialties require a lot of personalization, both in terms of what does the product look and so we make sure that as new users onboard, we catch that and the product proportionally reflects that. But also on the back end, evals at the specialty level, they are hard-earned to calibrate and get. What does a really great dermatology note look like? What makes it complete? What makes it compliant and billable is very different than a primary care doctor. And so it's not just about what does the product experience look but on the back end tuning and really deepening our understanding for the specialists. What does great output look like? And that's, a problem that we need to calibrate internally, externally, online, offline but, takes lots of cycles but is necessary in a high-stakes environment. And then at the health system level, for products like clinical decision support, you have health systems who've spent years or decades refining their best practices and they want to know, “Hey, we love your clinical decision support product but how do we embed our own hospital guidelines into them to inform clinicians before, during or after a visit what brest — best practices should look like?” And as you think about, deepening moats as well, when health systems, trust us with that data, allow us to productize it and directly into the clinical workflow, makes us a really great partner to health systems who want to build something that truly meets their needs, their practicing guidelines.AI Slop, Memory, and Product Data FlywheelsChai [00:27:23]: And I want to add onto that. The for the clinical documentation problem, it's very similar to AI writing that doesn't feel like your own and then we call that slop. But the way I describe one framing of slop is like AI without context. But we have all that context and both the clinicians, can have it and can guide it. And so part of the other interesting exhaust for us is, memory is, one of these new systems recordsChai [00:27:49]: Almost.Janie [00:27:50]: And we also have all the edits people make on our product and when you think about a data flywheel and how we get better over time becomes really powerful as a mechanism to just going deeper in personalization.Jacob [00:28:04]: It's interesting. I love this idea of working with systems on the guidelines they built up over a long time. I feel like so many of the best AI app companies today are... The question is: How do you take the expertise that a law firm or a bank has built up over many years and then add that as context and also a special sauce over, a an AI tool? And so seems like y'all are really doing that very effectively.Janie [00:28:24]: We're now starting to have our customers ask, “What are other customers doing?”Janie [00:28:28]: “And how are they doing it?”Janie [00:28:30]: And as we think about having visibility across such a large set of care being delivered right now, a really interesting place we could also partner.Swyx [00:28:40]: I'm just curious. I — This may be a nothing question but, how different are health system guidelines from each other? Don't they all converge to the same thing? And if not, where do they differ?Chai [00:28:52]: At a really high level, they're going to talk about very similar things but the difference is probably in some more of the details. “Oh, you should refer to specialists only when XYZ conditions are met,” or so forth and maybe different organizations have different practices and guidelines around that. But high level, talking about similar things but the details are what, of course, that shapes the context and the decisions you make.Swyx [00:29:15]: And this all goes into the context engine and it might affect the notes but maybe not.Chai [00:29:21]: The — For these local pathways, we're definitely thinking about it a little more for our clinical decision support product.Chai [00:29:26]: So yeah.Swyx [00:29:27]: Which is your stuff, yeah.Swyx [00:29:28]: And then the memory which you raised, let's just tell us more about that. What have you tried in memory? What's the structure of the memory? What works? What doesn't work?Chai [00:29:38]: There's, of course, many different ways you could do memory, where it's okay, can you bake it into the model weights or can you do it in some external store? For us, what's interesting is, of course, when you think the models are rapidly changing, whether it's in-house or third-party, baking into the model weights, sometimes you worry that it could be a little throwaway. And so, how do you... You need to find a way that you decompose the problem, the preferences from the underlying models and so forth. The thing we're right now most both that's easiest to start with and we're excited about is having, a separate store for memory, where you have, for example, a memory sub-agent that's, working in the background, figuring out what are the important parts of the clinician's actions that we want to remember for the long term. And then you can also imagine, other things where in the — you have background jobs that are running that are collating these, memories similar to Sleep, of course and what other pattern, patterns products do as well. Learning over all these action, all the action data we have, again, note edits, the conversations they did and the actual transcripts.Evals: LFD, LLM Judges, and Clinical SafetyJacob [00:30:40]: What about evals? How in the world do you... It is such a complex product surface area. We would love to hear you riff on that and also how has that evolved? I'm sure you've gotten better at it, so any learnings along the way.Janie [00:30:50]: From an evals perspective, we, from day one when we build any new product or feature, we think about, what does good look like? And there are table stakes things like clinical safety but then you start to get deeper into what does good quality look like. And when you go into something like our core product, there's stuff like style and completeness and there's things like does this note become something that can be billable, which is very high stakes for a health system. We have a number of ways in which we get confidence for this. We have, internal in-house clinicians who do what we call an LFD process to give us our very first pass at is this or isn't this a good enough output, look at the effing data.Jacob [00:31:41]: LFD?Chai [00:31:42]: That's why I was smiling. I was “Is Janie going to mention what it stands for?”Jacob [00:31:46]: I was not... There's like a million acronyms.Jacob [00:31:48]: How am I supposed to know that I don't? So “Oh yeah, of course, an LFD.”Swyx [00:31:51]: I've never heard of LFDs.Chai [00:31:53]: It's a bridge for sure.Janie [00:31:55]: I got through three days and then I had to ask someone.Janie [00:31:58]: I thought it was just me that didn't knowJanie [00:32:01]: It's our internal process.Swyx [00:32:02]: But look at the data as a meme in ML, ‘cause you tend to not look at it. You just want to look at number go up.Chai [00:32:06]: Exactly.Swyx [00:32:07]: But yes.Janie [00:32:08]: But so, we make sure we look at the data and then as we think about all of the components of good output, we, one, create LLM judges across all of these and we make sure with annotated data and either internal or external evaluators, we feel like these judges are calibrated. And then depending on the stakes, we also work with in-house and third-party evaluators across all of these before we ship any big change. And the goal is, in terms of evolution, how do you go from this process taking months, down to weeks, down to days? Some of it is, a true science and ML problem. A lot of it's also just, hard operational work. Have you planned ahead in terms of what you need? Have you really optimized the capacity that you need across all of the different specialties you need? Have you gotten a really good sense of which third parties are great to work with for what use cases? This takes a lot of domain, expertise and, lots of mistakes and errors in figuring that out. And so as much of it is an ML problem, so much of it has also been operational gains that are hugely important, where domain-specific expertise is everything.Specialty-Level Evaluation and Progressive RolloutsJacob [00:33:23]: But it's funny, ‘cause I feel like people talk about healthcare like it's one giant market and the reality isJacob [00:33:26]: It's, dozens and dozens of sub-markets. And so it feels like in your evals you have to build that up across the board, probably.Swyx [00:33:34]: And is specialization the primary cardinality at... That's the word that comes to mind.Janie [00:33:40]: Sometimes, depending on the product or the use case. And so if we're making a note improvement or feature for a particular specialty, definitely but we have products that are for nurses. We have products that, are really aimed at making the document or the output a lot more billable. And so we'll want to work with coding teams and not necessary clinicians. And so likeJacob [00:34:05]: Coding meaning healthcare coding.Janie [00:34:06]: Yes. Yes.Jacob [00:34:07]: NotChai [00:34:07]: Yes. I see you.Swyx [00:34:07]: Other kinds.Janie [00:34:09]: But is this output proportional to the work that was delivered? Is there sufficient documentation to justify the amount that a health system may end up charging? And so, specialty sometimes but also domain, very different across all of the different products that we're working for. And building out that network is, not easy and is where a lot of our operational investments have gone into.Chai [00:34:35]: And I view a lot of analogies to self-driving cars here, where, part of it is we really want progressive rollout of features to test in the real world is this useful? Is this going to work? One big difference compared to past lives is before I'd build a product, maybe I'd alpha it and then I'd like GA it the next week, ‘cause I'm “Go, move fast, ship,” and whatnot. But the mentality is like you... I want to make contact with the reality as quick as possible but I want a progressive rollout. Because as much as I get as large of an offline eval set, I want the distribution of that to match real-life distribution. And over time, by rolling out early, similar to Waymo has a tagline, “The world's most experienced driver,” another thing that can, at least linearly increase for us is, both the size of our evaluation offline and online, that and it all feeds back.Janie [00:35:25]: Something that's been earned over time, speaking of evolution, is just the trust we've gotten with customers. Historically, a lot of these health systems, when they bring on new vendors, their release cycles are quarters, sometimes twice a year. We've gotten our customers onto monthly release cycles, which is pretty fast for health systems but what is more exciting over the last, call it, few quarters, has been, a subset of our customers have said, “We want to innovate with you. We trust you,” and we have a pretty, decent chunk of our customers who say, “We'll develop with you outside of these monthly release cycles. We have a higher tolerance. We know that the stakes are very high but we want to be the first ones using these products, giving you feedback.” And so for a pretty substantial set of our customers, we've been able to convince them to be able to ship, in this gradual way before GA. Something we talk about a lot internally is, trust is earned in drops, earned in buckets and so we still can't do what I used to do when I worked at Loom. We had 30 million users. I'd just be, rolling out experiments left and. The bar is still quite high for iterative rollout but because of the trust we've earned, we're able to learn at pretty high volume very quickly.Privacy, HIPAA, and De-IdentificationSwyx [00:36:45]: Your scale is still pretty huge.Swyx [00:36:47]: One thing I want to... We were going to go into scale? In a sec. One thing I wanted to call up, follow up on evals, which, again, just coming from a generalist engineer point of view, just thinking through what would people be scared of in doing this, the privacy and HIPAAJacob [00:37:00]: Elements of this. I have zero experience in that. What do you have to do? What is surprisingly not that bad?Chai [00:37:06]: So one thing that's really important here from a compliance perspective is very much that any of the data we use needs to be de-identified, any real-world data we use as a basis of online eval sets we're learning from. And so you have to — And there's, very clear, government guidelines, what counts as PHI. And so we've even have built models that can take, for example, a clinical transcript and remove all the key PHI indicators and so you have a scrubbed/de-identified version. And then once you... And so one thing that's important is first you've got to get confidence in that model in the first place? And prove that out. Because, now you have, multiple probabilistic systems on top of each other.Chai [00:37:46]: But once you have that, then you can train on it use it for evaluation and so forth, provided one of the cool things also that you can do from a business side is the right data contracting as well with your partners.Jacob [00:37:57]: Is the anonymization one way? Once it's done, you cannot undo it? Or is there someoneChai [00:38:01]: YesJacob [00:38:02]: Who holds the master key that can... Yeah, okay. So it's one way.Chai [00:38:05]: It's one way. Yeah.Jacob [00:38:06]: That's how it works. I just wanted to... Because, there's a lot of this, learning from feedback and everything that, you would want to debug more but you can't because you just physically don't allow yourself to.Janie [00:38:17]: Some of it's also written in our customer contracts in terms of who can or can't access PHI data, how long do we retain it,Jacob [00:38:27]: Very goodJanie [00:38:27]: Before it gets de-identified. And so we have a pretty high bar for who can access that PHI data, just to make sure that we always respect our customer data and privacy. But that's something that we partner with our customers on too, to make sure that as we want full, as close to precision as possible in that qualityJanie [00:38:48]: We can still use it.Jacob [00:38:50]: But it'll be fascinating to see how that space evolves? Because you think about, I used to work at a company that, did a lot of healthcare data in the cancer space and if you asked, the average cancer patient, “Hey, do you want people, do you want other patients to be able to learn-”Chai [00:39:03]: Take it.Jacob [00:39:03]: “... Learn from your experience?”Chai [00:39:04]: Take it all.Jacob [00:39:05]: They're “Please.”Jacob [00:39:06]: “I'd love, nothing more than for other people to be able to learn fromJacob [00:39:10]: The experience that I had.” And so in the past it was a lot harder to do that learning. But with this technology, that might really be practical and so it'll be fascinating to see how that continues to evolve.Chai [00:39:21]: There's so much in our data set of 100 million conversations.Chai [00:39:26]: You can imagine things like insights that you can give to the clinician. How could you, oh, how could you have reacted to this? In coaching or insights around, which treatments are effective or, like... Because you have this, again, this data source that was never captured before but that's, where, intuition or experience is created from, going back to this idea that the conversation is the agent of truth.Operating at Scale: Reliability, Cost, and Token EfficiencyJacob [00:39:46]: Back to the 100 million conversations, I feel like you have this insane scale that maybe only a few other AI app companies have and everyone else dreams of. So not everyone has had to confront this yet but maybe just talk about some of the challenges of operating at that scale and what, our listeners have to look forward to if they ever get to this level of scale.Chai [00:40:05]: At large and larger in scale, so of course there's a general, infrastructure reliability. When you... In any given startup, you're building the plane while it's flying. So there's some notion of that. But what gets interesting on the AI and ML side for sure is this, as you get at more and more scale, so one, you have the data to first and foremost do this. But, you start thinking about costs or infrastructure in a whole different way at scale versus, a prototype.Chai [00:40:34]: You can use the most expensive model, you can burn as many tokens as you want but when you're doing 100 million conversationsJacob [00:40:41]: Token max on leaderboards are less upsetting than that context.Chai [00:40:45]: . When you're doing that and so that comes for we have the data and we also have the team that's able to post-train based on this and you can optimize for efficiency, especially in areas where you believe that maybe a lot of the quality headroom is less so and you don't expect the other off-the-shelf models to go that way, such that you want to do, efficiency maximization, in terms of compute and tokens.Jacob [00:41:08]: I feel like you guys live in the future in some way where most use cases today are really just in use case discovery mode, where it's “God, I really hope I can find something that can get to scale,” and so you're always going to use the most powerful model. And then the few things that do get to this level of scale, you start to do those optimizations.Chai [00:41:22]: It's a natural trajectory where it's like zero-to-one, we're not talking about any of these optimizations.Chai [00:41:26]: But when maybe we're in the one-to-100 or so forth, then we're in optimization mode and, what works out really well is you've got all this data from zero-to-one that lets you do this.What Comes Next: The Conversation as the Shared Healthcare PlatformJacob [00:41:36]: That's fascinating. I feel like one thing that's so interesting about the Abridge footprint is that you're in the doctor-patient visit in real-time. I always like to say, there's like probably 50 years' worth of product you could build on top of that. What gets each of you, I don't know, what are you most excited about building, either in the short term or medium term or even, long down the line?Janie [00:41:53]: Something that I get really excited about is that the same conversation can serve so many stakeholders. If you think about the conversation, a doctor needs to know what is the documentation, how do I make sure that this fully represent the care I gave? A patient needs to know, “What the heck just happened? This was really overwhelming. What are my next steps?” A payer needs to know, was this the proper and appropriate care given? A pharma company might want to know why isn't this drug being properly used or is there a good candidate for this clinical trial that I'm about to run? And where I get excited is that our product and our platform and our infrastructure can be the same product across all of those things and start to what's today, separate, very expensive, complex systems that serve each one of these stakeholders in very different ways, start to collapse all of that into a singular platform that enables not just more efficiency across the board but also better outcomes for everyone. And, all of us experience healthcare in probably very painful ways and knowing that there is a world in which we can simplify a lot is really exciting to me and it all starts with the conversation.Chai [00:43:15]: It's interesting. Of it very similar to going back to the KPIs that any AI product cares about. How do you increase quality of care? How do you reduce latency to care? And how do you reduce costs? Which is a huge, in healthcareJacob [00:43:28]: They call it the triple aim in healthcare.Chai [00:43:30]: But very similar to building AI products and the thing that really excites me is when we talk about that latency piece, we talked about one example earlier of prior authorization, can you reduce the latency to care? But you can imagine so much more. Oh, as soon as the lab value gets updated, do you have like a background agent that, kicks off and uses all the context to be “Oh, hey, the patient should do this next,” for example. And of flagging that to the clinician who's always in the loop but reducing that latency, to care. And then you can imagine this is much further down the road but it's like even connecting that to the direct patient and the consumer. And so how can you, how can you build a bridge to all of these things?EHR Partnerships and the Clinical Intelligence LayerJacob [00:44:10]: Very cool. The connections piece is just an ever-growing thing. And one of the key partners is the EHR and I wonder what that relationship is like. Will they, look at this as, something that is valuable enough that they want to own someday?Janie [00:44:29]: Our partnerships with the EHR is, we know that we have to be extremely close partners with all the EHRs who we partner with. Being able to not only pull and push all of the data into the right places is, not only table stakes, if we can't do that, health systems don't want to use us. The second and the reality of today is clinicians spend a lot of their days in the EHR. So much of what allowed us to win in the largest health systems was pretty direct and, very close partnerships with some of the largest electronic health records that allowed us to pull and push data with APIs that weren't ready out of the box. And clinicians want to save clicks. Anytime we introduce a new product that, adds two clicks for them in their day, they're “We're not going to use it.”Janie [00:45:21]: They have 15-minute back-to-back appointments with their patients. They're spending, hours during pajama time doing documentation. Every second and every minute counts and so we really think about being deeply integrated into the EHR as also table stakes to getting real usage and adoption. And anything that we build or introduce, we really talk about earn the right internally a lot, which is we have to provide so much value or save so much time that people will use us. But those are the two things that are close to us, is we know that the product won't be used unless it is deeply interoperable.Chai [00:46:01]: And strategically, to your point, it's like what does EHR want to own versus us? EHRs are really focused on the clinical workflows and so forth but some of the things that we're talking about here, I do these traditionally are outside of the domain where it's oh, connecting pairs and providers together with provider policies or the clinical trial matching, as Janie brought up. And so these are, entirely — we position ourselves as building this entirely new intelligence, clinical intelligence layer across, again, providers, pharma and, payers.Chai [00:46:33]: And so that's a it's a whole different ballgame that we try to playChai [00:46:36]: In combination with them.Jacob [00:46:37]: But it's like a different layer of scope.Healthcare AI Regulation, Technical Depth, and What Changed Their MindsJacob [00:46:39]: I'm curious, you are both relatively newcomers to healthcare. People have these, there's lots of futuristic healthcare AI takes of “Oh, everything will look different.”, now that you've been in healthcare for a bit, you live at the edge of AI, what have you, changed your mind on around this, as you think about what healthcare looks like in ten, 20 years? Any updates to your mental model from the time being close to the problems?Chai [00:47:02]: One thing that IChai [00:47:04]: Was hesitant about before and it's a common thing when I'm trying to recruit engineers that people ask me around, is definitely oh, healthcare, heavily regulated space. And it is, rightfully so. You want to keep, the patients at the end of the day safe. But one of the interesting things that, is a that surprised me how much it is coming to the company is there's a lot of really favorable regulatory tailwinds as well. Where you think about, government really wants interoperability between all these systems that we talked about and so agents can access this information. The government just in January, the FDA released updated guidance on clinical decision support, what I work on in such a way that they used to have guidance from like 2022 that required you to have, mention all these options and do all these other things but it's a very forward and forward-looking way. And so for me, what's been really cool to work on is this, there's this very special moment both in AI in general, we all know that but there's a special moment also regulatory in healthcare as well.Janie [00:48:05]: One thing I would call out is for the very reasons things are higher stakes or, potentially considered more difficult in healthcare, it's where some of the hardest AI problems will get solved first, just because the bar is so high. When I first joined, I was “Oh, this is where we'll be on the tail end of where, all of the AI innovation will be able to be applied.” But when you think about, zero error evals or multi-step workflows that have really low tolerance, a lot of the innovation will happen here just because we have to or else we can't ship.Jacob [00:48:42]: ‘Cause like in other domains, you'd much rather just solve the 80%-is-good-enough problems firstJanie [00:48:46]: 80/20 doesn't work hereChai [00:48:48]: And building off that, traditionally, there was a bit of stigma that, oh, healthcare companies are not that interesting from a technical perspective or I've seen that or faced that myself. But these are really hard and fun problems from a pure technical perspective beyond just the impact. How do you bring the latency of this thing down and make it really high-quality?Reducing Latency: Clinical Workflows, Agents, and Implementation RealityJacob [00:49:07]: How do you bring the latency of things down?Chai [00:49:10]: Yeah. Yeah. Yeah. So okay, let's answer the latency question. And maybe hopefully not too redundant with some of the things I've said earlier but some part of it is with any latency, you have to like what is, what is really your bottleneck. In a lot of workflows, it's sometimes it's the model itself. And so that's where like our data flywheel, our post-training team and so forth come in so that can you make the models far more efficient. So that's one aspect of latency. But there's whole other aspects of latency where it's okay, on top of that, if you use a constellation of different models, can you use — can you first use like a — it's like thinking fast and slow. Can you use a cheap, fast model that triages and hands it off to a larger model where you get more intelligence and so forth and so all theseChai [00:49:56]: Clever tricks to make it work.Chai [00:49:58]: And by the way, we are totally — we also realize that the parameter frontier is changing and so these tricks will — may not get us to where we want to be in five years but we need to if we want to build a useful product right now.Jacob [00:50:11]: Should we go to the quick-fire or you want to ask more about Abridge? We can stuff everything that's not Abridge into the quick-fireSwyx [00:50:16]: I don't mind. I was — I feel like Janie was on the topic of more long tail stuff, which isSwyx [00:50:21]: Not the eighty/twenty thing and that really matters. And I'll —, if you have any tips or cool stories or just general approaches that have worked for you that's interesting to dig into.Janie [00:50:32]: One of them is even just how we staff our teams looks different than a traditional software engineering team, I'd say.Swyx [00:50:40]: Let's go.Clinician Scientists, Edge Cases, and Evals at ScaleJanie [00:50:41]: We have a bunch of folks with different roles who are clinicians and so we have this role called the clinician scientist and I heard one of our leaders refer to them as mutants recently. But they are people who've had clinical backgrounds, so MDs typically, who are also deeply technical, somewhere, on the spectrum of like a full stack engineer all the way to like extremely scrappy prompter. But having each of these people embedded within our teams instantly raises the bar for everything that we build because not only are they determining, is this product clinically useful but they're deeply embedded in our whole evals process. And so when we talk about LFDs, when we talk about what is our actual evaluation criteria, you don't want Chai or me creating what those are because we don't have clinical background. But is probably unique to Abridge but has been game changing. And when you think about where the puck is going, you have people build with clinical backgrounds who are technical and where AI tools are going, they just becomeJanie [00:51:53]: More and more, critical and like the killers of the team. And so that's one. And then the second is just the scale at which we do evals to catch that long tail up front before anything ever gets into production is something that we've pretty much like really started to fine-tune, both from a scale but when do we know we need to get several hundred versus several thousand offline responses, what helps us make that quick decision and make this less of an art and as much of a science as possible. But that's also been something we've had to tune over time.Swyx [00:52:27]: And you have partners who opted in to give you those evals.Janie [00:52:31]: So we work either internally or with third-party for offline evals and then we have customers who also agree to give us, whether it's like thumbs up, thumbs down to like choose this or that, a lot of data to get us to what is as close to fully confident as possible.Swyx [00:52:51]: The term that comes to mind isSwyx [00:52:53]: Like active learning on things where you're weak. I feel like it's a lost artSwyx [00:52:58]: Is a lot of the polish that comes into doing something like this.Janie [00:53:02]: Really.Chai [00:53:03]: Hundred percent.Lessons from Glean: Technical Foundations and AI App InfrastructureJacob [00:53:04]: Maybe, on a totally unrelated note, Chai, you had a very, storied run at Glean b

(0:08:00): PFA server had massive crash, prior radio show was lost, so what now?.... (0:14:18): Major update related to The Lodge raid and shutdown.... (0:39:01): Maurice Hawkins appears on Pokernews podcast to argue with hosts about his bad debts and scamming allegations.... (1:36:15): Dylan Lynde reveals nosebleed stakes tournament player David Peters revealed to be broke and owing him $23k.... (2:12:49): Charlie Carrel and Owen "PR0DIGY" Messere in private game dispute where both accuse each other of unethical behavior.... (3:27:24): CoinPoker in more controversy as major affiliate accuses them of cheating him, plus their terms of service seems to prohibit US and UK players from the platform.... (3:39:32): All of Primm to close down on or before July 4.... (3:49:24): Vegas Megabucks tipping controversy goes viral when major X account shares VitalVegas' post on the matter.

Massive breaking news: the UFO alien deception is about to break reportedly! Alert ! Superchats at any time here: https://streamlabs.com/jaydyer/tip Join this channel to get access to perks: https://www.youtube.com/channel/UCnt7Iy8GlmdPwy_Tzyx93bA/join Get started with Bitcoin here: https://www.swanbitcoin.com/jaydyer/ Philosophy Course is here: https://marketplace.autonomyagora.com/philosophy101 Set up recurring Choq subscription with the discount code JAY60LIFE for 60% off now https://choq.com Subscribe to my site here: https://jaysanalysis.com/membership-account/membership-levels/ Music by Dr Evo the Producer, Jay Dyer and Amid the Ruins 1453 https://www.youtube.com/@amidtheruinsOVERHAUL Join this channel to get access to perks: https://www.youtube.com/channel/UCnt7Iy8GlmdPwy_Tzyx93bA/joinBecome a supporter of this podcast: https://www.spreaker.com/podcast/jay-sanalysis--1423846/support.

Welcome to The Daily, where we study the Bible verse by verse, chapter by chapter, every day. We are about to begin our next study in 4 days. We will begin with the book of Hosea. Hosea reveals what happens when strength is disconnected from covenant loyalty. This means it is time to get your next Scripture Journal from our website for this study. If you are a Project23 partner giving $35/month or more, we have already sent this to you by mail. Our shout-out today goes to Matthew Meester from Pullman, WA. Thanks for your partnership in Project23. Our text today is 1 Corinthians 16:13-14. Be watchful, stand firm in the faith, act like men, be strong. Let all that you do be done in love. — 1 Corinthians 16:13-14 Paul fires off five rapid commands. Four of them build toward one that is often misunderstood — and often misapplied. "Act like men." Corinth lived in a culture obsessed with status, rhetoric, and public displays of power. Weakness was despised. Honor was everything. But courage in Paul's mind is not posturing. It is perseverance in truth. To "act like men" meant this: hold the line when false teaching pressures you. Endure when culture mocks you. Refuse to bend when doctrine becomes costly. In our time, courage is often redefined as self-expression or ideological conformity. But biblical courage is different. It is steady allegiance to Christ when the cultural winds shift. It is clarity without cruelty. It is conviction without compromise. At the same time, Paul does not let courage drift into harshness. "Let all that you do be done in love." Courage divorced from love becomes theological brutality. Love divorced from courage becomes woke empathy. Christian maturity refuses both extremes. Therefore, to "act like men," in Paul's sense, is to embody resurrection-shaped bravery—rooted in truth, restrained by love. This is what resurrection-shaped courage looks like: Not loud. Not reactive. Not intimidated. Instead steady. Alert. Anchored in Christ. And governed by love. DO THIS: Identify one area where you have softened biblical conviction to avoid tension. Take one concrete step this week to speak or act with clarity and love. ASK THIS: Am I watchful—or drifting? Am I firm in the gospel—or flexible under pressure? Have I confused cultural approval with biblical courage? PRAY THIS: Lord, teach me real courage. Make me steady in truth and gentle in love. Keep me from cowardice on one side and harshness on the other. Shape my bravery after Christ. Amen. PLAY THIS: "Courage"

This week we discuss Deacon Brian Wehrle's journey from Anglicanism, to crossing the tiber through the Ordinariate, which Pope Benedict XVI established in 2011. He discusses the importance of the Ordinariate, its structure, Liturgy and identity as a bridge between everyone within the Latin Rite and the English speaking world and more interesting discussions.   – The Show is Live on the following Platforms Television   TV Maria: tvmaria.ph  Radio Platforms: Voice of Charity Australia (1701AM): www.voc.org.au    Radio Maria Australia: https://www.radiomaria.org.au/  Cradio: www.cradio.org.au  Social Media:  @thecatholictoolboxshow Facebook & Instagram - Partners: Parousia Media: www.parousiamedia.com EWTN Asia Pacific www.ewtnasiapacific.com - SUBSCRIBE to our weekly Alert and Newsletter: www.thecatholictoolboxshow.com Get your copy of "The Art of Practical Catholicism" by George Manassa: Get your copy of "The Art of Practical Catholicism Series" by George Manassa: store.parousiamedia.com/the-art-of-practical-catholicism-your-faith-guide-george-manassa-paperback/  https://store.parousiamedia.com/the-art-of-practical-catholicism-2-your-faith-guide-george-manassa-paperback/    Book George Manassa to speak at your parish or event now: www.parousiamedia.com/george-manassa/    DISCLAIMER This Episode does not count as Medical, Psychological or professional advice. All the contents within the parameters of this episode are simply the personal views of the host and guest(s) and any personal advice reflected should always be verified by your relevant professional. In no way is this a substitute for seeking any professional advice and we urge that you seek relevant professional attention at any stage. Please seek the guidance of your doctor or other qualified health or other professional with any questions you may have regarding your health or a medical condition. Never disregard the advice of a medical professional, or delay in seeking it because of something you have heard on this episode or read on any online media. If you are experiencing any emergencies please call  000 OR if you need assistance call  13 11 14 within Australia Or your national emergency service

Wielkie korporacje pompują jedzenie chemią, niszcząc nasze zdrowie dla maksymalizacji swoich zysków. W tym materiale obnażamy brutalną prawdę o rynku mięsnym i pokazujemy skuteczną drogę ucieczki z żywieniowego matrixa. Zobacz, jak świadomie wybierać polską żywność i obronić swój organizm przed pułapkami systemu.______________________________

Is AI actually transforming wholesale distribution, or are we just managing our businesses with better dashboards?In Episode of Around the Horn in Wholesale Distribution, Kevin Brown and Tom Burton unpack the real story behind AI enablement, tariff refund chaos, Iran and oil market volatility, Amazon Business strategy, Fed rate policy, industrial M&A, and robotics. This episode connects geopolitics, supply chain economics, B2B eCommerce, and AI adoption into one clear message: technology must enable growth, not just manage operations.What You'll Learn:Why most B2B leaders are not AI ready, and why the issue is structural, not technicalHow to use the Discover, Alert, Guide, Automate framework to enable sales and operations teamsWhat tariff refunds mean for distributors, manufacturers, and downstream customersWhy Amazon Business may be a strategic opportunity, not just channel conflictHow Iran, oil markets, and interest rate policy directly impact wholesale distribution marginsWhy industrial branch traffic is improving despite low consumer sentimentEpisode Highlights:03:15 – Why AI is not the strategy, enablement is09:24 – How unified data across ERP, CRM, and eCommerce uncovers hidden growth17:23 – Iran, oil prices, and why the Strait of Hormuz matters to distributors30:49 – Kevin Warsh, rate cuts, and AI productivity gains35:33 – Tariff refund portal launches, what it means for supply chains45:06 – Industrial branch traffic improves, what that signals for demand56:23 – Why 86 percent of B2B leaders are not AI ready01:07:55 – Tesla Optimus and the future of robotics in manufacturingTools, Frameworks, and Strategies Mentioned:Discover, Alert, Guide, Automate enablement modelAI powered CRM and unified data platformsAmazon Business B2B marketplace analyticsTariff refund portal processEnterprise growth platform strategyIndustrial M&A consolidation trendsClosing Insight:The future of wholesale distribution will not be decided by who adopts AI first, but by who uses technology to enable smarter decisions, faster execution, and clearer visibility across the customer journey.Leave a Review: Help us grow by sharing your thoughts on the show.Learn more about the LeadSmart AI B2B Sales Platform: https://www.leadsmarttech.com/Join the conversation each week on LinkedIn Live.Want even more insight to the stories we discuss each week? Subscribe to the Around The Horn Newsletter.You can also hear the podcast and other excellent content on our YouTube Channel.Follow us on Facebook, Twitter, Instagram, or TikTok.

Alert to the many ways I am prone to please myself

Fresh out of the studio with John Morgan, Senior Vice President and General Manager of Splunk Security at Cisco. The conversation unpacks the AI inflection point reshaping security operations — from the explosion of machine data (set to more than double in three years) to the rise of the agentic SOC, where AI agents handle detection, investigation, and response while humans focus on high-stakes decisions. John breaks down why attackers armed with AI now exploit zero-days in hours instead of weeks, why security must start with observability (including the challenge of "shadow AI"), and how CISOs are evolving from technical gatekeepers into board-level business enablers. His parting message: the entire world is learning AI together — get to it with his perspective on what great looks like for Splunk Security moving forward. "The volume is increasing quite a bit. We expect in the next three years it's gonna double. Attackers do not have a governance of regulatory and compliance restrictions on them. They just go at it and see what works. And so the volume, sophistication, speed of attacks—the only way to defend against it is to automate your responses to it. One thing that folks outside of the industry don't maybe get is just how large the attack surface is. And how hard it is to stop—attackers need to just find one way in, and you're trying to defend all ways in." - John MorganEpisode Highlights:[00:00] Quote of the Day by John Morgan from Splunk Security[00:50] John's path from technologist to cybersecurity leader[01:35] Leading Splunk Security: the mandate and mission[02:20] Why Cisco and Splunk have a disproportionate AI advantage[03:18] It's not the technology — it's the human beings[04:26] Why more data demands better curation and context[05:00] AI as both signal generator and attack surface creator[06:12] Where the bottleneck sits: ingestion, analysis, or response[07:10] Splunk at the intersection of observability and security[08:29] The evolving CISO role: gatekeeper to board-level risk officer[10:22] Defining the agentic SOC and where it's heading[12:00] Alert fatigue and how agentic approaches change the dynamic[13:56] Singapore Airlines: real customer outcomes from AI security[14:47] The AI arms race: who has the structural advantage[16:11] What a mature AI-native security platform looks like[17:19] How AI is changing detection from rules-based to correlation[18:35] Advice to CISOs: observe, trust, automate[19:41] The one question John wishes more CISOs would ask[20:22] The next five years — and why five years is too slow[21:20] ClosingProfile: John Morgan, GM and SVP, Splunk Security, CiscoLinkedIn: https://www.linkedin.com/in/johnmorganinc/Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. This episode is recorded in Poddster Singapore. Here are the links to watch or listen to our podcast.Analyse Asia Main Site: https://analyse.asiaAnalyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasiaSign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

Gyrocopter pilot and NYT best selling author Caroline Paul explains her passion for flying in "WHY FLY: Seeking Awe, Healing and Our True Selves in the Sky." Plus, David and Jay discuss Burke Lakefront's latest challenges, an update on the ALERT bill, Swift fuel, the abrupt shuttering of Sonex aircraft, and more.

War Room Americans on Heightened Alert as Iranian Sleeper Cells Rumored to Be Inside U.S., ‘Suspicious Package' Scare at Reagan International Airport, and Man Killed After Crashing Into Michigan Synagogue — TUNE IN & SHARE! Sky Pilot Radio 60's thru the 80's

Get the full episode:https://www.10percenttrue.com/pricing-plans/listPinbag Shaw | 10 Percent True | EP83 Part 2In Part Two of our conversation, Thomas “Pinbag” Shaw takes us operational.From Korea to Germany, this is life in a Cold War Phantom squadron — where Victor Alert was real, nuclear strike planning was routine, and NATO air defence timelines were measured in minutes.In this episode we discuss:• What sitting nuclear Victor Alert actually meant• How QRA posture worked in Europe and the Pacific• Intercept geometry against Warsaw Pact aircraft• NATO strike planning and readiness discipline• The psychology of Cold War aircrew culture• Transitioning from Phantom to the Strike Eagle eraThis is Tactical Air Command at its most serious — a force built around the assumption that the next launch might not be an exercise.If you enjoy long-form, technical conversations with the people who flew the jets, subscribe and join the conversation.0:00 Intro teaser – North Korean MiG-21 intercept3:52 Welcome back, Pinbag4:28 The Nellis influence9:28 Leaving MacDill – SERE school20:28 Korea and PACAF disposition27:15 36th Fighter Squadron33:35 Introduction to Korea38:00 Areas of responsibility, command structure, and settling in44:20 Training, digesting the vault, and other in-theatre assets and threats49:10 Equipment – F-4E variants53:25 Radar presentation, trade-offs, and features (TISEO, Combat Tree, Pave Spike)1:04:44 Turnover of airframes1:06:02 Operation Paul Bunyan – the axe-handle murders and redeployment of assets (including GBU-15 / AGM-65) for possible engagement with a tree1:11:35 One year later – the Army's turn and the lost Chinook1:15:38 North Korean Air Force and South Korean MiGs (and Beagle)1:26:12 AN-2s and skunk boats1:27:30 How a prospective war would have unfolded1:32:05 North Koreans in Vietnam; Soviets and North Koreans flying with the Egyptians1:34:24 GCI and bullseye intercepts1:36:50 Integration, improvement, and the prospective order of battle1:40:40 Evolution in war planning and the birth of Large Force Employment1:46:30 Lakenheath leadership influence and differences from PACAF1:54:40 Battles over the Taiwan Strait and ROKAF checkouts – similarities and rumours1:57:30 Alert story – possible SA-2 site2:01:12 Peacetime Aerial Reconnaissance Program (including intro teaser story) and alert scramble