Podcasts about alerts

Table of Contents: The Reaper (US Special Forces) on what he saw in Pakistan Regarding Middle East Muslim's and Chai Tea Boys Showing Their True Sick Deviant Colors! 14 Terrifying Cases Of Muslim Illegal Aliens Raping Elderly Women In France Somalia Overturns Law Banning Child Marriage Just 24 Hours After Muslim Male-Led Protests—Listen to a 73 year old Muslim child molesting pervert weeping on social media and calling the Somalia child marriage ban: “Against Islam and Allah!”

Table of Contents: PRAYER TO NEUTRALIZE OCCULT RITUALS World Soccer Cup Warning Iran-linked Group Claims to Have Hacked FBI Drones and Threatens to Target the World Cup The Mainstream Media and the World Cup Openly Mocking Humanity A Potential Ebola Outbreak & Soccer World Cup ‘Digital God’: AI Insider Sounds Alarm On Silicon Valley Elites Trying to ‘Bring Machine Alive’ Psa 2:1: Why do the heathen rage, and the people imagine a vain thing? Psa 2:2 The kings of the earth set themselves, and the rulers take counsel together, against the LORD, and against his anointed, saying, Psa 2:3 Let us break their bands asunder, and cast away their cords from us. Psa 2:4 He that sitteth in the heavens shall laugh: the Lord shall have them in derision. Psa 2:5 Then shall he speak unto them in his wrath, and vex them in his sore displeasure. Pro 3:5 Trust in the LORD with all thine heart; and lean not unto thine own understanding. Pro 3:6 In all thy ways acknowledge him, and he shall direct thy paths. Pro 3:7 Be not wise in thine own eyes: fear the LORD, and depart from evil. Top Headlines: AI ESCAPING HUMAN CONTROL & AI BOTS OUTNUMBER PEOPLE ONLINE–AI is out of control Cashless Society Coming in Hot We Are Being Warned That A “Godzilla El Niño” Could Absolutely Devastate Global Food Production The USA Drought Situation Is SPREADING & Affecting Farmers Adversely— Dust Bowl 2.0 The Screwworm Situation is Suspect Farm Animals Being Stolen Everywhere As Meat Prices Skyrocket! Junk Yards Burning Up At Unprecedented Rate—We Will Tell You Why Canada is just overtly Satanic now: Canada's DRIVE-THRU DEATH–From a casual chat at TIM HORTONS To LETHAL INJECTION In Just 2 Hours!! Dead and gone!! Proverbs 8:36: “But he that sinneth against me wrongeth his own soul: all they that hate me love death.” Canada is now on the verge of classifying some Bible passages as “hate speech”–A new law just passed, and if sharing your faith offends the wrong person, you could face up to 2 years in prison. Proverbs 13:13: “Whoso despiseth the word shall be destroyed” Bloodbath on the streets Moroccan city of Nador as an estimated 3 million of dogs are ‘massacred’ by firing squad ahead of the 2030 World Cup!!

On today's show we look at some AppleTV and Home announcements from the Apple WWDC and look at what that fuss is about the new Sony's True RGB TVs. We also read your emails and take a look at the week's news. News: Households Used More Than 10 Video Services Daily Google Rolls Out a Major Update to Its Google TV Streamer 4k Apple TV from Apple's WWDC 2026 Key takeaways for Apple TV from Apple's WWDC 2026 are relatively modest and software-focused, as the event emphasized iOS 27. tvOS 27 Highlights for Apple TV Larger Text / System-Wide Text Size Adjustment: A new accessibility option lets users increase on-screen text size across supported apps and the interface. AI-Generated / On-Device Subtitles: tvOS 27 adds real-time automatic subtitle generation for videos lacking built-in captions (including personal content).  Other Refinements: Expect Liquid Glass UI polish, performance/stability improvements, smarter recommendations, and better smart home/HomeKit ties. Siri upgrades (more conversational, on-screen awareness) should improve voice control on Apple TV, though full Apple Intelligence features may wait for new hardware. tvOS 27 developer betas are available now post-keynote, with public release expected in fall 2026 alongside other OS updates. As far as the Apple Home app goes, updates  mainly dealt with Apple Intelligence integration for smarter camera handling and notifications: The Home app now uses Apple Intelligence to generate natural language descriptions of compatible camera footage, letting you search clips conversationally by saying something like,  "show me when the dog was in the backyard" Smarter batched notifications that feel less overwhelming. Alerts are intelligently grouped and dynamic instead of constant floods. Accessory updates update in real-time as conditions change. With deeper Siri AI and Shortcuts integration you can describe automations in natural language and let Siri build them (including Home shortcuts). Voice control becomes more conversational and context-aware. Hardware Notes No new Apple TV 4K hardware was announced at WWDC (consistent with expectations). A refreshed model with A17 Pro (or similar) for full Apple Intelligence/Siri 2.0 support, better smart home capabilities, and possibly Wi-Fi 7 has been "ready for months" but is being held for later in 2026 to align with the advanced AI features. What is Sony's True RGB TV All About? Sony's True RGB is Sony's marketing name for their advanced RGB Mini-LED backlight technology, introduced in 2026 for high-end BRAVIA TVs the BRAVIA 9 II and BRAVIA 7 II series. How True RGB Works Traditional Mini-LED or QLED TVs typically use white or blue LEDs as the backlight, then pass that light through color filters or Quantum Dots to create colors. This filtering process can reduce color purity, brightness, and efficiency. Sony's True RGB technology takes a different approach by using tiny independent red, green, and blue (RGB) LEDs in the backlight, with each color LED controllable separately across thousands or even millions of local dimming zones, generating color directly at the light source before it reaches the LCD layer rather than filtering white light. Sony's True RGB technology delivers purer and more accurate colors with a significantly wider color volume and gamut, higher peak brightness while maintaining excellent color accuracy, superior contrast and black levels that can challenge OLED performance in certain scenarios, improved energy efficiency through smart power distribution algorithms that use less power than previous generations, and outstanding off-angle viewing with minimal color shift. Key Advantages Sony Highlights Sony's True RGB technology delivers true-to-source color accuracy, backed by the company's deep professional monitor expertise and decades of innovation in RGB technology dating back to the groundbreaking 2004 QUALIA series. This is powered by advanced RGB Backlight Master Drive processing that expertly manages the immense complexity of controlling millions of individual colored diodes in real time. Overall, it successfully combines the best of Mini-LED brightness with near-OLED levels of color performance and contrast. In short, True RGB is Sony's premium implementation of direct RGB Mini-LED backlighting. Sony emphasizes not just the hardware (RGB LEDs), but their proprietary optical design, drivers, and image processing to make it perform better than competing RGB LED TVs from other brands. Sony True RGB Models with Pricing (2026 Lineup) Prices are MSRP/launch pricing (as of mid-2026; actual street prices and sales vary by retailer like Best Buy, Crutchfield, or Sony's site). Larger sizes command big premiums. BRAVIA 7 II - more accessible entry into True RGB, excellent color and brightness for the price 50" — ~$1,600 55" — ~$2,100 65" — ~$2,600 75" — ~$3,100 85" — ~$4,000 98" — ~$9,000 BRAVIA 9 II - higher brightness, more advanced processing, better anti-glare, and local dimming performance 65" — ~$3,600 75" — ~$4,600 85" — ~$6,500 115" — ~$31,000 (a massive premium flagship option)

Scam alerts increase as SARS season nears:Luke Naude Lorentz by Radio Islam

In this episode of Connect, we are joined by Brice Drogosch, Channel Development Manager at Singlewire Solutions, to discuss how mass notification has evolved over the years. Together, we're discussing how an open platform, an open mind, and a collaborative spirit are the keys to building the best possible solutions.During the episode, we'll explore the pivotal shift currently happening in the market, from reactive technology to proactive prevention. Along the way, we'll examine the demand for millisecond alert speeds, the integration of AI automation, and how the security landscape is evolving to meet modern needs. Brice also shares how Singlewire Solutions is meeting today's challenges and helping organizations navigate complex, constantly evolving guidelines.Plus, we'll pull back the curtain on how data protection, facial recognition, and AI are shaping the future of security. Tune in to hear how mass communication technology continues to evolve. For more information about Axis Communications, visit us at www.axis.comFollow us on social media at Axis Communications - Home | FacebookAxis Communications: My Company | LinkedInAxis North America (@Axis_NA) / TwitterAxis Communications USA - YouTube

The fastest way to spot a broken housing market is brutally simple: compare home prices to incomes. When that price-to-income ratio, often called the median multiple, shoots from a normal “3” to “11” or “12,” you are not looking at a minor housing shortage. You are looking at a system that no longer works for the middle class. We unpack what the latest Demographia housing affordability data says about the US and other high-cost countries, and why “impossibly unaffordable” has become the most accurate label for places people love and can't afford.We keep coming back to a core point that gets lost in most affordable housing debates: land affordability. It often does not cost wildly more to build a home in one region than another, but the lot can be exponentially more expensive when zoning regulations and urban containment policies choke off supply. We talk through the planning logic behind pushing density, why it can feel like “file cabinet living” to actual households, and why the people who keep cities functioning, including teachers, nurses, and firefighters, get priced out first.Then we layer in the biggest shift in work-life in a generation: remote work. We explore why policy still acts like it is 2019, how return-to-office pressure connects to empty downtown offices, and why households are already creating their own solution by moving to metros with sane median multiples in the South and Midwest. We also dig into real fixes that can scale, from allowing more land for family housing to practical regional options like manufactured homes, plus the limits of ADUs when the goal is for-sale homeownership and wealth building.If housing is the foundation for family formation, community roots, and long-term stability, what happens when ownership becomes out of reach? Listen, share this with someone trying to buy their first place, and then subscribe and leave a review with your take: what policy change would lower housing costs where you live?Support Our WorkThe Center for Demographics and Policy focuses on research and analysis of global, national, and regional demographic trends and explores policies that might produce favorable demographic results over time. It involves Chapman students in demographic research under the supervision of the Center's senior staff.Students work with the Center's director and engage in research that will serve them well as they look to develop their careers in business, the social sciences, and the arts. Students also have access to our advisory board, which includes distinguished Chapman faculty and major demographic scholars from across the country and the world.For additional information, please contact Mahnaz Asghari, Associate Director for the Center for Demographics and Policy, at (714) 744-7635 or asghari@chapman.edu.Follow us on LinkedIn:https://www.linkedin.com/company/the-feudal-future-podcast/Tweet thoughts: @joelkotkin, @mtoplansky, #FeudalFuture #BeyondFeudalism #centerfordemographicspolicy #chapmanuniversityLearn more about Joel's book 'The Coming of Neo-Feudalism': https://amzn.to/3a1VV87Sign Up For News & Alerts: http://joelkotkin.com/#subscribeThis show is presented by the Chapman Center for Demographics and Policy, which focuses on research and analysis of global, national and regional demographic trends and explores policies that might produce favorable demographic results ov...

Table of Contents: Updated Group Prayer–List of Current Event Prayer Points–Part 2 Israel (With the blessing of their government) Just Hosted “Pride City” Near Sodom & Gomorrah June 1-4 2026! They Are Planning to make this abomination city permanent! Gen 13:13: “But the men of Sodom were wicked and sinners before the LORD exceedingly.” Gen 18:20: “And the LORD said, Because the cry of Sodom and Gomorrah is great, and because their sin is very grievous…” Gen 19:24: “Then the LORD rained upon Sodom and upon Gomorrah brimstone and fire from the LORD out of heaven…”… Netanyahu says it was his plan to merge the U.S. and Israeli militaries together as one–99% of Congress has remained silent. NDAA Will Give Israel Co-Command of U.S. Military Forces–THIS WILL ENABLE ISRAEL TO ORDER US MILITARY TO KILL ANY U.S. CITIZEN WHO THEY PERCEIVE AS ANTI-SEMITES OR QUESTION ANY OF THEIR ACTIONS!  Congress is about to codify Israeli access to American AI technology and American data under the guise of national defense! Pentagon raised threat of Israeli spying on U.S. to highest level–sources say VIDEO: IDF Solider Testifies UNDER OATH: ‘Told to Stand-Down’ During Oct 7 Attacks: EXACTLY WHAT WE REPORTED ON THIS WEBSITE AND ON PRIVATE BRIEFINGS!  The Israel Lobby Is Officially Calling On Congress To Repeal The 1st Amendment & Establish A Social Credit Score Digital Dictatorship Over America! ZIONISTS' SATANIC PACT (video): 1926 book about “Secret World Government” as Isreal Rothschild-Pike NWO The Rabbi who owns the largest pornography company in the world explains why: ANYONE CAN JUSTIFY SIN, INCLUDING A RABBI OR PASTOR–The *rabbi* says his goal is to legitimize porn in society, eliminate its taboo and spread porn as far as possible–I remind you that OnlyFans is AIPACs biggest donor Understanding the Modern Day Counterfeit Vile Religious Israeli Synagogue of Satan PDF: Emergency Freedom Alerts 6-8-26 Click Here To Play The Part 1 Audio Source

Table of Contents: Another Blasphemous Deception–Understanding the Jewish Western Wall Humiliation Ritual–The Words of Jesus (in 3 Different Gospels) Clearly Prove the Modern Day Western Wall Is A Counterfeit! Mainstream News—Beyond Evil! Baby Dies of Herpes in Ritual Circumcision By Orthodox Jews–Two infants have died in the last decade among ultra-Orthodox Jews in NYC! Listener Comment on the Wicked Jewish Talmud and the Kabbalah Listener Comment: Exposing Israel’s Evangelical Foreign Influence Campaign FOZ (Friends of Zion): “We are going to train 100,000 Christian ambassadors to be ambassadors in their own country for the state of Israel, to defend Israel’s brand and to combat anti-semitism” Exposing Israel’s Evangelical Foreign Influence Campaign Israel Used the Charlie Kirk’s Funeral Memorial to Target and Track CHRISTIANS Across America & Isreal is Doing So Now In Mainstream Churches Across America Without your Consent or Knowledge! Israel plans to spend $4.1 million on marketing to save its reputation in the United States, according to the Jewish Telegraph Agency–Most of the marketing will be aimed at American Christians. The documents, filed under the Foreign Agents Registration Act, show a plan for what they call the “largest Christian Church Geofencing Campaign in U.S. history” It will be run by an entity called Show Faith by Works, LLC Your church may be selling your data to Israel?! Churches That Are Targeted By Israel For Geotagging–Geotagging is the process of adding geographical metadata to digital media like photos, videos or social media posts PDF: Emergency Freedom Alerts 6-8-26 Click Here To Play The Part 2 Audio Source

In part two of this series, Dr. Andy Southerland and Dr. Dan Ackerman discuss a few rapid‑fire concepts from the 2026 guidelines, focusing on what is new and how emerging data may shape patient care.  Show transcript:  Dr. Andy Southerland: Hello, everyone. This is Andy Southerland from the University of Virginia. And for today's Neurology Minute, I'm speaking with my friend and colleague, Dan Ackerman, Chief of Neurology and Director of Stroke at St. Luke's University Health System. We've been speaking in the main neurology podcast on tips for updated clinical practice related to the 2026 American Heart Association guidelines for the early management of patients with acute ischemic stroke. I'm going to hit Dan with a few rapid fire concepts that were touched on the guidelines that I think are new or provide some new insights, new based on the data and to how we treat patients. So Dan, you ready for it? Rapid fire, acute stroke treatment decision making? Dr. Dan Ackerman: Absolutely. Hit me. Dr. Andy Southerland: All right, Dan. I'm a resident going to my first stroke alert on July one this year and I've got a patient coming in, they're having disabling stroke symptoms and they're, in every other way, eligible to receive thrombolysis, but they have a history of paroxysmal atrial fibrillation. They are on apixaban and they took a dose of that apixaban. They forgot to take one yesterday, but they took one the day before, had the evening before. And so 36 hours ago, they took a dose of their apixaban. So based on previous dogma, I think prior guidelines might've said if it's within that 48 hour window, that's a relative contraindication of thrombolysis. What, say, you based on the new guidelines and then how do they inform us about making that decision? Dr. Dan Ackerman: I would actually say the new guidelines are a little bit more aligned with what you just said. You mentioned it as a relative contraindication to thrombolysis. I think before these guidelines came out, a lot of people would've said, "No, that is a strict contraindication to thrombolysis." And a lot of folks would run a stroke code or a stroke lid a little slower knowing that, hey, this person is on, whether it's apixaban, rivaroxaban, edoxaban, dabigatran, et cetera, any of these direct oral anticoagulants and say, "Well, no, we know that person's not a candidate for thrombolytics." Well, no, the newer guidelines would suggest that that is a relative contraindication, not a strict contraindication. And when we look back at studies on this, it has not been suggested that there is a big contribution in terms of exactly how long ago that last dose was. Was it two hours ago, 12 hours ago, 20 hours ago? And there has not been shown to be a clear benefit of testing for factor Xa activity levels, bleeding time and the like. So the guidelines do suggest that, hey, we need more data on this. It's not to, say, that this is 100% perfectly fine. Remember, that's a relative contraindication, so it's still a risk benefit discussion, but studies have not shown an increased risk for hemorrhagic complications in patients who have had recent DOAC exposure who receive IV thrombolysis otherwise according to the guidelines. So I would tend to offer it in that situation and make sure that we document what drugs someone's on, how long ago was their last dose, all of this kind of information in addition to what we might normally otherwise get down. Dr. Andy Southerland: Does that change, Dan, if they took the DOAC in the last 24 hours or even 12 hours? They took it last night, and they're presenting in the morning with their stroke-like symptoms? Dr. Dan Ackerman: The guideline just suggests less than 48 hours, and the data, to my knowledge, doesn't really delineate, at this point, any particular timeframe where we would say, no, there's a cutoff there at two hours or eight hours or 12 hours. So at this point, I would not use that as a way to decide not to offer thrombolysis based on that timeframe. Dr. Andy Southerland: Fair enough. I think that's very reasonable. And I think, again, it's always a good conversation to have either with your attending, if you're that resident on July 1, but particularly with the patient and their family on the risk-benefit of what we know based on the data. Well, that's all the time we have for this Neurology Minute. We hope this discussion will continue to help everyone out there in the hyperacute management of patients with acute ischemic stroke, making those difficult treatment decisions. Good luck.  

In part two of this series, Dr. Andy Southerland talks with Dr. Dan Ackerman about a few rapid‑fire concepts from the 2026 guidelines, focusing on what is new and how emerging data may shape patient care. Disclosures can be found at Neurology.org.

In part one of this series, Dr. Andy Southerland and Dr. Dan Ackerman discuss what stands out in the latest thrombolysis guidelines, how these decisions are applied in stroke center practice, and how to educate residents and fellows on incorporating new evidence into treatment choices. Show transcript: Dr. Andy Southerland: Hi. This is Andy Southerland from the University of Virginia, and for today's Neurology Minute, I'm speaking with my friend and colleague, Dan Ackerman, Chief of Neurology and Director of Stroke at St. Luke's University Health System. I've been speaking with Dan on the main neurology podcast regarding updates to acute stroke treatment related to the 2026 American Heart Association guidelines that came out in late January of this year on the early management of patients with acute ischemic stroke. For our episode today, we might focus our discussion around thrombolytic therapy thrombolysis, which is at the core of what we do as acute stroke neurologists when it comes to treatment decision-making. So maybe as a first prompt, Dan, when you look at these guidelines, what stands out to you as you're thinking about how you practice, how you all are practicing at your stroke center, and then specifically how we educate our residents, our fellows on what they need to know, particularly the newness of it when it comes to making thrombolysis treatment decisions? Dr. Dan Ackerman: With all the discussions we've had in the past, there have been a lot of specifics about certain studies and how they might affect practice, but this guideline really opened up a lot and gave us an opportunity to do things in a way that makes really good clinical sense and really brings a lot of practices that have now become common at some centers into the fore so that we can get that information out to everyone and make sure everyone has that same really high level of stroke care everywhere they go. I think the first thing that stands out to me is what did not change. And want to reinforce that, particularly for people who are just getting into this, stroke alert is a screening tool, not a severity score. It's not like an MI alert where you do an EKG and you see the tombstone wave and you say, "Oh, there's an MI and we're taking them to treatment." This is a screening tool, so it is meant to be highly sensitive at the cost of being specific. At our shop for a long time now, we have initiated stroke alert for anyone who presents either within 24 hours of acute onset of neurologic symptoms or has an unknown onset of acute neurologic symptoms and they are still symptomatic to some degree at the time of their presentation, and that's it. We don't make any other statements about how severe something is or what kinds of symptoms someone necessarily has to have. We purposely keep it as broad as possible, again, because we're trying to screen. And the other thing that has not changed, time is still brain. So with all of these different nuances on how we can treat patients and who might be candidates for intervention, it is still a matter of understanding these guidelines, applying our best evidence, but doing it as quickly as possible to make sure that we are rescuing as much of that ischemic penumbra as we possibly can. Now, aside from that, in terms of what stands out that is different, I think one of the early things for me are the recommendations for extended time window for IV thrombolysis. So when you look at the original studies, we understand that when you get out beyond four and a half hours, if you just take all-comers, the risk is going to start to outweigh the benefit. But that doesn't mean there's zero benefit or that no one would receive benefit, but it's a question of, well, how do we cherry-pick those patients who may still receive benefit? And there are a few real specifics in the guideline that help us figure that out. One is for patients who have an unknown time of onset, but they're within four and a half hours of symptom discovery. And for those patients, they would suggest that doing a stat MRI and comparing a DWI lesion with the corresponding area flare to determine if you see DWI hyper-intensity and the flare image is nice and normal, that would suggest that stroke is young enough that it may still be appropriate to treat that patient. But we would also say for folks who have salvageable ischemic penumbra, so again, brain at risk that is not core yet, who either awoke with stroke symptoms within nine hours from the midpoint of sleep or, and this is the kicker, are within four and a half to nine hours from last known well. So in other words, they may have been symptomatic already for more than four and a half hours. If those patients have an appropriate ischemic penumbra, it may be reasonable to treat them with IV thrombolysis to improve functional outcomes. Dr. Andy Southerland: Well, that's all for this Neurology Minute. We hope this vibrant conversation will help all those who are out looking to make the best treatment decisions for their patients, both based on established evidence and most recent evidence in our new guidelines.  

Episode 522 00:00 Introduction 01:00 Nature of IPOs 02:30 SpaceX Future opportunities 03:22 No good or bad stocks 03:50 Elon Musk skeptic 04:38 Tesla over promise 06:49 SpaceX package bundle 08:40 Earthly opportunities Berkshire Hathaway home builder segment 10:40 SpaceX alternatives GSAT 11:40 Space is hard VSAT 12:43 Tesla performance 14:51 Want to invest in space look at the supply chain 15:25 Will investors sell Tesla to move into SpaceX 18:05 Ignore Media negativity 19:04 S&P 500 28.6% profit growth 21:16 Company backlogs 22:55 Space competition on the horizon 25:00 Starlink as a business expense? 26:50 Final thoughts- these profits are REAL Watch the VIDEO Sign up for free ALERTs & Market Commentary at:  https://www.investablewealth.com/subscribe/ ——————————————————

Table of Contents: STRATEGIC WARFARE PRAYER TRUMP'S GDP ‘MIRACLE': U.S. SACRIFICES ITS REAL ECONOMY FOR THE AI BUBBLE NOT NO but H*** NO: MINI DATA CENTERS going into US Homes!: Bitcoin Heaters The Satanic AI Data Centers Are Essential For 6G Implementation The billionaire tech overlords are planning for conscious AI to conquer the cosmos–What could possibly go wrong? Leaked DHS And FBI Reports Reveal The Trump Administration Is Quietly Targeting ‘Anti-Tech Extremism’ And Americans Protesting Datacenters As ‘Domestic Terrorists’–“The FBI warns that “paranoid views regarding AI” and “attempts to reason the belief that a godlike incarnation of AI is imminent,” are viewed as “anti-tech extremism” and “neo-Luddites”–Plus Bible Verses ‘Trap Is Set’: 99% of CEOs Plan AI Job-Cuts, Leaks Show Trump Quietly Targeting Anti-Tech Extremism Mandatory CAR KILL SWITCH Incoming: Big Brother JUST GOT IN YOUR CAR!!! The terrifying reality of Wi-Fi sensing Listener Comment: Power grid overload due to AI Datacenters–my county asking for federal emergency authority to be declared FLASHBACK: NEVER Forget What Covid Vaccine Pushers Tried to Do to the World! A US soldier received 5 Covid death jabs in military records years before the vaccine existed! A U.S. soldier's records from November 14, 2014, at Fort Riley, Kansas, list multiple Moderna COVID-19 immunizations; in 2014, not 2020. How? This was before the virus and before Operation Warp Speed–The whistleblower points to Fauci's direct involvement with CIA work on this backed by documented NIH-CIA ties–This proves this was premeditated! What is the End Plan / Goal for the Con-vid BS19 Vaccines? The government has started spraying a toxic chemical near Lake Tahoe PDF: Emergency Freedom Alerts 6-1-26 Click Here To Play The Part 1 Audio Source

Table of Contents: Google's Debug project plans to release 64 million bacteria-infected GMO mosquitoes—Pray against this Medical Doctor Says That The U.S. Government Dropped Radioactive Ticks on Americans as Bioweapons! Listener Comments: USA Tick Updates–The ticks here in PA are insane–I know several people whose kids had ticks on them and sent the tick for testing and came back Positive for Lyme! Listener Comment: Tick Wise Spray–GERANIUM OIL!!!! Is great & found most effective & beware of the ultra-tiny ‘seed ticks' Permadrought: 75 Percent Of The Global Population Lives In A Country That Is Being Affected By “The Great Drying” WEF's next target: YOUR TAP WATER–After failing to force everyone to get vaccinated, the unelected globalists are now coming for your water — pushing to limit consumption, control supply, and even floating the idea of adding vaccines to it! Proactive Solutions: Tag from “Life Done Free” EXPOSES How Small Towns Can DEFEAT Data Center Encroachment PDF: Emergency Freedom Alerts 6-1-26 Click Here To Play The Part 2 Audio Source

The hosts discuss Apple TV shows they were late to, including The Morning Show and For All Mankind, and talk about Hail Mary Project, comparing the film's "E.T.-esque" choices to Andy Weir's book. They segue into UFO/alien "disclosure" chatter, mentioning Spielberg's upcoming Disclosure Day, the film Age of Disclosure, alleged legacy programs, and the idea that disclosure could distract from other news. The conversation returns to Apple and IT topics: an Apple fix for managed login window settings not resetting, a Family Sharing change allowing adult members to use their own payment methods, and why hidden Wi‑Fi networks trigger Apple security warnings. They share productivity tips, including a Shortcut to sort Contacts by creation date, NFC tag uses, remapping Safari's Quit shortcut, menu bar icon spacing via defaults write, Finder column auto-sizing, and Boring Notch. Jerry describes building a client podcast studio around the RØDECaster Video S and Rode support, then they explain using Adigy DDM to automate macOS updates and upgrades with policies, scheduling, and monitoring alerts.   00:00 Show Kickoff Banter 00:18 Apple TV Catch Up 02:12 Hail Mary Debate 04:25 Disclosure Day Talk 07:32 Mac Login Banner Bug 09:47 Family Sharing Payments 10:50 Hidden WiFi Warning 13:25 Contacts Sort Shortcut 17:47 NFC Shortcut Ideas 20:38 Safari Quit Remap 24:00 Menu Bar Icon Tools 24:56 Menu Bar App Trust 26:16 Declutter Menu Bar 27:09 Shrink Icon Spacing 29:04 Finder Column Autosize 30:28 Boring Notch Tricks 32:10 Building Podcast Studio 33:17 RodeCaster Video S 39:27 Video Podcasts Debate 41:51 DDM Updates Workflow 49:20 DDM Policies and Alerts 55:32 Wrap Up and Patreon

In part one of this series, Dr. Andy Southerland talks with Dr. Dan Ackerman about the latest guidelines for managing acute ischemic stroke, emphasizing thrombolytic therapy, imaging techniques, and decision-making regarding treatment in extended time windows. Disclosures can be found at Neurology.org. 

Today's episode will provide a whole grab bag of tips for how to find those impossible award bookings for your award travel goals.(02:32) - Here's a grab bag of techniques, and keep in mind it's often necessary to use multiple(03:09) - Be flexible!(06:48) - Look towards the end of the booking schedule: use points that can book farther out(08:26) - Positioning flights(20:59) - Programs that reserve more space for their own members(22:22) - Programs that reserve more space for elite members/cardholders(24:17) - Programs that allow more awards for more points(26:47) - Married segment logic awards (e.g. san-lax-tyo available, but lax-tyo not available)(35:07) - Consider programs that allow a stopover(39:04) - Award tool Alerts(41:44) - Paid flightsSubscribe and FollowVisit https://frequentmiler.com/subscribe/ to get updated on in-depth points and miles content like this, and don't forget to like and follow us on social media.Music Credit – “Ocean Deep” by Annie YoderMentioned in this episode:Frequent Miler Beginner's Guidehttps://frequentmiler.com/start-here/Check out all of our other travel podcasts from around the worldThis podcast is part of Voyascape, a podcast network that brings together the world's best travel podcasts. You can find all of our podcasts from around the world at Voyascape.com. If you are interested in advertising or sponsored content on any of our shows you can find out more at the link below.Voyascape Podcast Network

European officials and intelligence agencies warn that Russia’s war in Ukraine could spill over, with the Baltic states seen as a vulnerable frontline where Moscow might test NATO or escalate tensions. The report highlights growing fears across Europe that even a pause in the Ukraine conflict could shift Russian military focus toward neighboring NATO countries, raising the risk of a wider regional conflict. Officials are encouraging people to use vote centers or ballot drop boxes instead of USPS mailboxes, since mailing late could risk ballots not arriving on time. early voting is underway locally, with more locations opening as Election Day gets closer, and officials want voters to return ballots safely and early to avoid delays. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

European officials and intelligence agencies warn that Russia’s war in Ukraine could spill over, with the Baltic states seen as a vulnerable frontline where Moscow might test NATO or escalate tensions. The report highlights growing fears across Europe that even a pause in the Ukraine conflict could shift Russian military focus toward neighboring NATO countries, raising the risk of a wider regional conflict. Officials are encouraging people to use vote centers or ballot drop boxes instead of USPS mailboxes, since mailing late could risk ballots not arriving on time. early voting is underway locally, with more locations opening as Election Day gets closer, and officials want voters to return ballots safely and early to avoid delays. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

A half-century is long enough for a community to transform, but not long enough for the origin story to stay intact without receipts. We walk through one of the first comprehensive efforts to measure Iranian Americans in the United States, then pressure-test the findings with sharp audience questions and personal reflections that put real faces behind the charts. We talk about how Iranian immigration stretches back further than most people assume, why the 1980s become the biggest decade, and how politics and policy show up in the data. We also unpack the difference between arriving as an immigrant versus entering as a student or visitor and later adjusting status, a key detail for understanding why education and career trajectories look the way they do today. Along the way, we explain why census ancestry data often tells a clearer story than categories that do not reliably capture Iranian identity. Then we shift from migration to outcomes: where Iranian Americans live now, what aging and fertility convergence mean for the next generation, and why educational attainment stands out nationally. We also get real about culture and identity, including language at home, intermarriage, multiracial self-identification, and the “third-generation return” where descendants go searching for history and Farsi later in life. A clinician adds a vital layer on mental health, generational gaps, and the hidden costs that can sit alongside visible success, while an entrepreneur shares an unforgettable arrival story that ties immigrant adaptation to pivotal moments in American history. If you care about Iranian American demographics, immigration policy, assimilation, language retention, and community economic impact, this conversation gives you both a framework and a human narrative. Subscribe, share this with someone who debates the numbers, and leave a review with the question you want the next study to answer.Support Our WorkThe Center for Demographics and Policy focuses on research and analysis of global, national, and regional demographic trends and explores policies that might produce favorable demographic results over time. It involves Chapman students in demographic research under the supervision of the Center's senior staff.Students work with the Center's director and engage in research that will serve them well as they look to develop their careers in business, the social sciences, and the arts. Students also have access to our advisory board, which includes distinguished Chapman faculty and major demographic scholars from across the country and the world.For additional information, please contact Mahnaz Asghari, Associate Director for the Center for Demographics and Policy, at (714) 744-7635 or asghari@chapman.edu.Follow us on LinkedIn:https://www.linkedin.com/company/the-feudal-future-podcast/Tweet thoughts: @joelkotkin, @mtoplansky, #FeudalFuture #BeyondFeudalismLearn more about Joel's book 'The Coming of Neo-Feudalism': https://amzn.to/3a1VV87Sign Up For News & Alerts: http://joelkotkin.com/#subscribeThis show is presented by the Chapman Center for Demographics and Policy, which focuses on research and analysis of global, national and regional demographic trends and explores policies that might produce favorable demographic results over time.

This week on Talk Eastern Europe, Adam and Nina discuss growing fears of escalation as drones cross into NATO territory, Lithuania issues emergency shelter alerts, and Russia deepens ties with China during Vladimir Putin's visit to Beijing. They also unpack the political implications of Hungary's new Prime Minister Péter Magyar, the possible revival of the Visegrad Group, and Russia's latest move inTransnistria.For our patrons, Adam and Nina look closer at the latest developments in Transnistria and interpret what it might mean for the near future. Want to listen to the full version of this episode? Become apatron: https://www.patreon.com/talkeasterneuropeABOUT THIS PODCASTWe publish twice weekly:- Every Tuesday: Expert Interviews featuring deep dives with leading analysts, journalists, and scholars- Every Friday: Weekly News Roundup with essential updates and commentary on the latest developmentsRead the New Eastern Europe Magazine Bimonthly publication with exclusive long-form analysis.→ Become a member: https://neweasterneurope.eu/become-a-member-of-new-eastern-europe/Support us on PatreonJoin our community for bonus content, early access, behind-the-scenes insights, and access to our exclusive WhatsApp group where we discuss the news in real-time.→ Join the Talk Eastern Europe community: https://www.patreon.com/talkeasterneuropeSign up for the Brief Eastern Europe NewsletterWeekly briefing sent out every Monday with news updates, expert commentary, and our editorial picks - free to your inbox. →Subscribe: https://briefeasterneurope.eu/subscribeFOLLOW USInstagram: https://www.instagram.com/neweasterneuropemag/Facebook: https://www.facebook.com/NewEasternEurope/LinkedIn: https://www.linkedin.com/company/new-eastern-europe/

HEADLINES:• HH Sheikh Hamdan Approves A New AED1.5 Billion Support Package For Dubai • Dubai Police Issue Safety Warning After Tow Truck Driver Dies In Al Qusais Accident • A Man Got Dumped By His Girlfriend After The Daily Dubai Commute Drained Him • A Dubai Mum And Influencer Shares How Safe Dubai School Bus Procedures Are • Meet The Guy Who's Been Stopping Dubai's Delivery Riders For Some Real Talk!

Episode 521 00:00 Introduction 01:58 AI layoffs impact on commercial real estate 03:30 Logistic & Industrial real estate growth 05:05 Intel exponential performance of past 12 months 15:44 Boeing too big to fail … 2020 flashback 20:00 Next book: invest with the Illuminati 21:16 Nvidia upcoming earnings what for backorder issues 29:45 Alphabet is the best Deep State stock Watch the VIDEO Sign up for free ALERTs & Market Commentary at:  https://www.investablewealth.com/subscribe/ ——————————————————

This week on the Oakley Podcast, Jeremy Kellett talks sits down with Todd Venable, General Manager at MHC Kenworth in Little Rock, to break down the current truck market, from how COVID, fuel prices, interest rates, and freight rates have impacted new and used truck values to why now may be a better time to trade than a year ago. They cover the Kenworth order board and pent-up demand, owner-operators tied to strong carriers versus independents struggling with freight and fuel, and how being leased to a company like Oakley helps with financing approvals. Todd explains the upcoming 2027 EPA emissions changes, new technology in trucks (safety systems, digital dashes, video mirrors), and the importance of dealer training and communication. They also dive into warranties and extended coverage, modern maintenance intervals, common mistakes when spec'ing a truck (especially PTO capability), the appeal of models like the W900 and T880, and how MHC, as a family-owned dealer group, is investing for the future while supporting Oakley's owner-operators. Key topics in today's conversation include: Welcome to Today's Episode with Todd Venable (0:43) State of the Truck Market, Order Board, and Demand (3:50) New Truck Orders, Fleets vs Owner-Operators, and Pent-Up Demand (5:28) Trading Out of High-Payment Trucks and Used Market Recovery (9:54) Independent Owner-Operators vs Leased-On with a Carrier (11:19) Financing Realities, Credit, Down Payments, and Lender Options (15:20) 2027 EPA Emissions Changes and What They Mean (18:26) Cummins Gas Medium-Duty Engines and Technology Shifts (21:19) Favorite and Most Hated New Safety Tech (Bendix Wingman, Alerts) (24:40) Warranties, Real-World Warranty Wins, and Why They Matter (29:08) Spec'ing a Truck: Common Mistakes and Factory Options (35:09) Making Spec'ing Less Intimidating with Line-By-Line Reviews (38:23) Best-Selling Kenworth Models: W900, T880, and Market Favorites (42:38) Future of MHC Kenworth, Alternative Powertrains, and Investment (46:07) How Oakley Owner-Operators Should Approach MHC and Contacts (51:43) Final Thoughts and Takeaways (52:12) Oakley Trucking is a family-owned and operated trucking company headquartered in North Little Rock, Arkansas. For more information, check out our show website: podcast.bruceoakley.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Public nudity, and noodle doodle alerts!- h1 full 2261 Tue, 19 May 2026 19:18:58 +0000 J7DFa5OyZ5d4rEj1FyXBbiVh69AIADFv comedy,religion & spirituality,society & culture,news,government The Dave Glover Show comedy,religion & spirituality,society & culture,news,government Public nudity, and noodle doodle alerts!- h1 The Dave Glover Show has been driving St. Louis home for over 20 years. Unafraid to discuss virtually any topic, you'll hear Dave and crew's unique perspective on current events, news and politics, and anything and everything in between. © 2025 Audacy, Inc. Comedy Religion & Spirituality Society & Culture News Government https://player.amperwavepodcasting.com?feed-link

Table of Contents: Updated Group Prayer–List of Current Event Prayer Points–Part 1 The Importance of “The Sacrifice of Praise” To God This is Why You Walk Your Yard After a STORM! Separation From Unbelievers and the World NOW – Trump reiterates that American’s financial situations are less important than the Iran war: ‘That’s right, that’s a perfect statement, I’d make it again.’: HE DOESN’T CARE ABOUT WHAT YOU ARE GOING THROUGH! PERIOD!  First-hand Account From a Respected ICE Agent–They are LYING about mass deportations in America–It’s NOT happening—Total Lies! England's King Charles Just Announced The Full Implementation of the DIGITAL ID – The Surveillance Trap IS HERE! The AI Boom Few Are Talking About – It's Coming For YOUR Wallet, Water & FREEDOM! It's happening–Your Home Could be Gobbled up by the AI/Datacenter Machine Pure Evil: AI Datacenters and Infrasound & Are These “Datacenters” Actually Concentration Camps? AI Chat Bots Are Insane & Demonic: ‘Chaos Ensued, Agents Dead’: AI Bots Placed In Virtual Town For 2 Weeks Go Crazy & Kill Each Other! Massive Georgia Data Center Steals 30 MILLION Gallons of Water Amid Drought! Listener Comment: Firsthand Information Regarding Entergy Infrastructure Shipments to Louisiana / Public Funding Concern MILITARY OPERATIONAL AI DATA CENTERS: OpenAI is building the world's largest AI data center called Stargate in Abilene, Texas The Body of Christ needs to be praying & fasting against these AI Datacenters hard–You can check if you are near one here: https://www.datacentermap.com/usa/ Listener Comment: North Carolina Data Centers Map PDF: Emergency Freedom Alerts 5-18-26 Click Here To Play The Part 1 Audio Source

Table of Contents: Walmart Just Patented New Big Brother SURVEILLANCE – And People Are Angry About It Part 1: Something sinister is going on at Walmart Part 2: The demonic Walmart situation just went to another level Lubricant Industry Insider for a top 3 lubricant blender in the USA–Approximately 40% of global GTL Group 3 base oil production is offline as of 3 weeks ago due to the ongoing situation in the Middle East–This is a critical component of almost every modern motor oil, transmission fluid, PSF fluid, industrial lubricant, etc on the market Shell CEO sends blunt message on oil and the economy Mobil Oil Corporation and Royal Shell Oil Corporation have told COSTCO and WALMART they “have no more pre-packaged oil product to ship to them–Expect bare shelves in the automotive oil section when present inventory runs out.” Toyota Service Bulletin Warns of Looming Motor Oil Shortage Local Independent US Car Repair Shops Are Shutting Down EVERYWHERE – Here’s Why OWN AN OLDER CAR OR TRUCK? You Need to Watch THIS–The EPA is increasing the allowable ethanol gas percentage for cars and trucks in gasoline to 15%, which could affect your vintage vehicles. Stay tuned for crucial car maintenance tips regarding this new e15 gas US Auto Part Stores Are Closing EVERYWHERE — Here's Why THEY ARE KILLING OUR PETS — AND IT COULD BE SPREADING TO YOU! The USDA quietly approved Nobivac NXT — America's first self-amplifying mRNA vaccine for dogs and cats (rabies, feline leukemia, canine flu)–Vets across the country are injecting it…and most owners have NO IDEA–1000+ pages of USDA FOIA documents expose the horror: DEATHS CARDIAC ARREST NEUROLOGICAL DAMAGE STRANGE MASSES & TUMORS — often within HOURS of the shot! This self-replicating mRNA can shed through bodily secretions… meaning your pet could be turning YOU into an unwitting vaccine recipient! The farmed fish you eat are routinely sedated and mass vaccinated using over 50 different vaccines–HUNDREDS of MILLIONS of salmon, trout, and sea bass are injected with automated vaccination machines or immersed in vaccine baths every year & mRNA versions are coming soon! Tick Pandemic Has Begun in the USA! Following Bill Gates’ release of genetically modified mosquitoes, engineered ticks are now being introduced into the environment–These ticks are latching onto animals across all 50 states and affecting nearly every species around! GMO Bill Gates Ticks ‘We're In for a BAD Year': Scientists Warn of Explosion in Lyme Disease, Tick-borne Illnesses THEIR SATANIC PLAN REVEALED NANOTECH IN VACCINES PDF: Emergency Freedom Alerts 5-18-26 Click Here To Play The Part 2 Audio Source

Firefighters are working to put out the Sandy Fire in Simi Valley. Allegations of favoritism are splitting Huntington Beach's city council. The results of an investigation into the county's emergency alerts the night of the Eaton Fire. Plus, more from Evening Edition. Support The L.A. Report by donating at LAist.com/join and by visiting https://laist.comSupport the show: https://laist.com

“Birth alerts” were a controversial practice in several Canadian provinces that allowed hospitals and child-welfare agencies to flag pregnant patients they deemed to be high-risk without their knowledge or consent. They were in place until as recently as 2023 in Quebec. Last week, a proposed settlement worth $66-million was reached in a class action lawsuit over British Columbia's use of birth alerts. Across the country, several other class actions are underway. Andrea Woo is a staff reporter for the Globe, based in Vancouver. She's on the show to explain the effects of birth alerts on mothers and the significance of the B.C. class action suit. Questions? Comments? Ideas? Email us at thedecibel@globeandmail.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

OPINION: About those power supply alerts | May 17, 2026Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe Visit our website at https://www.manilatimes.net Follow us: Facebook - https://tmt.ph/facebook Instagram - https://tmt.ph/instagram Twitter - https://tmt.ph/twitter DailyMotion - https://tmt.ph/dailymotion Subscribe to our Digital Edition - https://tmt.ph/digital Check out our Podcasts: Spotify - https://tmt.ph/spotify Apple Podcasts - https://tmt.ph/applepodcasts Amazon Music - https://tmt.ph/amazonmusic Deezer: https://tmt.ph/deezer Stitcher: https://tmt.ph/stitcher Tune In: https://tmt.ph/tunein #TheManilaTimes #KeepUpWithTheTimes Hosted on Acast. See acast.com/privacy for more information.

This week, Elliot Berman and John Byrne break down a packed slate of AML and financial crime developments shaping the global landscape. They start in the U.S. with two new FinCEN alerts—one highlighting Iran's use of front companies, digital assets, and complex corporate structures to evade sanctions, and another warning of heightened human trafficking risks tied to the 2026 FIFA World Cup. The conversation expands into broader trafficking concerns From there, they unpack the OCC's latest risk perspective, emphasizing persistent cyber threats, rising fraud sophistication, and mounting pressure on compliance systems amid geopolitical tensions. On Capitol Hill, attention turns to the Clarity Act and its push to build a regulatory framework for cryptocurrencies—alongside mounting concerns from banks and law enforcement about stablecoins, AML enforcement, and investigative visibility. Internationally, they discuss Canada's dramatic increase in AML penalties, AUSTRAC's updated risk outlook and virtual asset focus, Switzerland's proposed AML rule changes, and The EU's push toward a unified anti-corruption strategy.

The Democrats keep asking voters to choose them, but many people still can't answer a basic question: what do Democrats stand for right now? We bring on public affairs consultant and UCLA lecturer David Gershwin and AEI senior fellow Ruy Teixeira to wrestle with the party's direction, its internal incentives, and why “winning the next election” can mask deeper strategic failure.We talk about how the Democratic donor world and institutional ecosystem often reward coalition management over coalition expansion, making it harder to challenge interest-group orthodoxies or shrink a growing list of litmus tests. We also debate what “centrism” even means in 2026 America, and why so much mainstream Democratic strategy seems to default to anti-Trump positioning plus affordability messaging rather than a sharper, broader governing agenda that can compete in working-class, rural, and exurban places.Then we use California politics as a stress test: what a deep-blue primary system, heavy spending, and activist credibility can do to the candidate pipeline, and why a problem-solver profile can struggle against louder narratives. From there we widen the lens to the midterms and beyond, forecasting a likely Democratic House win, a Senate that's increasingly in play, and the possibility that all roads lead to veto-driven gridlock. We close with early 2028 handicapping, including Gavin Newsom's odds on the Democratic side and why Marco Rubio or J D Vance could shape the Republican field.If you care about the future of the Democratic Party, the progressive versus moderate divide, and the real mechanics of American electoral politics, listen through and share this with someone who argues politics with you. Subscribe, rate, and review, then tell us: what would it take for Democrats to expand their coalition again?Support Our WorkThe Center for Demographics and Policy focuses on research and analysis of global, national, and regional demographic trends and explores policies that might produce favorable demographic results over time. It involves Chapman students in demographic research under the supervision of the Center's senior staff.Students work with the Center's director and engage in research that will serve them well as they look to develop their careers in business, the social sciences, and the arts. Students also have access to our advisory board, which includes distinguished Chapman faculty and major demographic scholars from across the country and the world.For additional information, please contact Mahnaz Asghari, Associate Director for the Center for Demographics and Policy, at (714) 744-7635 or asghari@chapman.edu.Follow us on LinkedIn:https://www.linkedin.com/company/the-feudal-future-podcast/Tweet thoughts: @joelkotkin, @mtoplansky, #FeudalFuture #BeyondFeudalismLearn more about Joel's book 'The Coming of Neo-Feudalism': https://amzn.to/3a1VV87Sign Up For News & Alerts: http://joelkotkin.com/#subscribeThis show is presented by the Chapman Center for Demographics and Policy, which focuses on research and analysis of global, national and regional demographic trends and explores policies that might produce favorable demographic results over time.

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

Episode 520 00:00 Introduction 00:34 Sell in May? 05:40 Cashing in on CHAOS chart 07:50 Profits with less People chart 14:58 Trump in China 18:40 New Fed Chairman Kevin Warsh 22:51 GameStop eBay acquisition 26:25 Trading Rules Watch the VIDEO Sign up for free ALERTs & Market Commentary at:  https://www.investablewealth.com/subscribe/ ——————————————————

Table of Contents: Genetic RNA “vaccines” are now being used in livestock across the U.S., Canada, Chile, Mexico, and the Philippines. Merck’s gene-based shots (SEQUIVITY) have been injected into MILLIONS of pigs across the globe since 2012 — and almost NO ONE knows! Moderna’s new FDA approved COVID injection mNEXSPIKE literally means VIOLENT DEATH in Latin–FDA approval despite ZERO placebo tests & SERIOUS adverse events of MYOCARDITIS & CANCER–“ALL COVID Vaccines should be PULLED from the market IMMEDIATELY.”~Dr Jeff Barke, MD THREE U.S. states have introduced legislation designating COVID-19 mRNA injections as BIOLOGICAL WEAPONS OF MASS DESTRUCTION Scott Johnson's 6 Part Teaching: Pharmakeia: Sorcery, Pharmaceuticals & the Roots of Modern Day Drug-Parts 1-6–September 21, 2008 Is There A 700% Food Price Increase Coming? ‘Megadrought Is HERE’: We Just Experienced the DRIEST First Three Months of a Year in US History “No Quick Fixes”: Prepare for Energy Rationing, Mandatory Water Restrictions, Higher Beef Prices Farmers are sounding the alarm and few are listening–American farmer, Julius Ray Tucker, just tested his soil & found 5X more aluminum than last year–His GMO seeds grow perfectly, but his heirloom crops are dying! — Meanwhile, Bill Gates is pushing GMO seeds engineered to thrive in aluminum-rich soil and geoengineering delivering that aluminum from our skies! Trump's Federal government using clever trick to force AI data centers on unsuspecting local communities–Trump executive order being used to override public opposition and local ordinances that forbid construction of massive AI data-collection centers that will power the coming 24/7 surveillance state! The LARGEST “hyperscale” data center in the world is being proposed in Box Elder County, Utah. It’s approx. 40,000 acres/62 square miles, backed by Canadian millionaire Kevin O'Leary. Fast-tracked by Utah's Military Installation Development Authority, backed by Gov. Spencer Cox, with the public locked out of the decision process. Utah, say hello to a 50% increase in CO₂ emissions, polluted water, and 24/7 noise and light pollution. Foreclosures Sweep Across America! Hundreds Of Thousands Of Families Have and Will Lose Their Homes Texas Governor Hands State Over To India Socialist Muslim Devil New York City Mayor Mamdani LEGALIZES Shoplifting… Wiping 8,400 Businesses OFF THE MAP Mayor Mamdani LEGALIZES Squatting… as NYC’s Largest Landlord ABANDONS 6,000 Apartments PDF: Emergency Freedom Alerts 5-11-26 Click Here To Play The Part 2 Audio Source

Table of Contents: PRAYER TO NEUTRALIZE OCCULT RITUALS Top Hantavirus Headlines—Is This the Next SCAMdemic or Just Beta Testing? Did the WHO just say the quiet part out loud??? The World Health Organization is now openly saying the Hantavirus outbreak proves why the world needs centralized global health control! “Coincidently”: The Vaccine Medical/Pharma Cartel and US Army Are Developing 13 Hantavirus Vaccines and Gene Therapies Hantavirus Causes and Symptoms WHO Inexplicably Immediately Releases All Passengers on Hantavirus Cruise Ship Without Quarantine “X Files “Hantavirus” discussion (alien virus discussion) –“They’re prepping us for the next pandemic!” Is Hantavirus next? – Dr. Pierre Kory Medical Doctor Says 3 things to detox the Covid Shot Spike Protein: Nattokinase, Curcumin/Turmeric and Bromelain Emergency Freedom Alerts: 6-14-21-Part 2 & Emergency Freedom Alerts: 1-30-23-Part 3–Table of Contents: Ivermectin Horrible Side Effects — Hydroxychloroquine Warning Hanta Virus – MARBURG – Ebola VIRUS DISEASE Natural Recommended Protocol Recommended Products Dr. Johnson Carries to build up the Immune System The Satanic Gift That Keeps on Giving! Medical Doctor David Cartland begging his colleagues to speak out & expose carnage due to the Covid kill shots! PDF: Emergency Freedom Alerts 5-11-26 Click Here To Play The Part 1 Audio Source

Episode 519 00:00 Introduction 04:52 Michael Saylor says he might have to sell Bitcoin 07:25 Market at record highs … what do you do with new money? 09:25 It’s a stock picker’s market 14:13 $FLEX up 35% today 16:22 How old is Joe? 18.43 Not a typical Millennial Join us for a YouTube live Q&A Wednesday May 6, 3:00pm eastern:  https://www.youtube.com/live/2ppgj1ZcDXw?si=FpfQCrVyFRZF32x4 Sign up for free ALERTs & Market Commentary at:  https://www.investablewealth.com/subscribe/ ——————————————————

Breaking news out of eastern Oklahoma! A hole in the sky has opened. Through it, an unidentified turtle-shaped craft has descended. Alerts say that this is first contact.  So it goes in the sci-fi thriller “Hole in the Sky.” In the book, author Daniel H. Wilson imagines this moment where we meet alien life for the first time. It's set in the heart of Cherokee Nation and follows characters including a military man, a NASA scientist, and a Cherokee father named Jim who is just trying to survive the alien entity. Wilson joins Flora for a conversation about the book and how he integrated elements of Cherokee culture with science fiction. They get into the ways we project our own fears—like genocide and slavery—onto aliens, and how science fiction helps us imagine the unimaginable.  The SciFri Book Club is reading “Hole in the Sky” during May and June. Join us to read along!  Read an excerpt from “Hole in the Sky.” Guest:  Dr. Daniel H. Wilson is a Cherokee citizen and bestselling author of “Robopocalypse,” “Hole in the Sky,” and several other books. He holds advanced degrees in machine learning and robotics and lives in Portland, Oregon. Transcripts for each episode are available within 1-3 days at sciencefriday.com. Want SciFri gear? Check out our new shop! Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that's keeping you up at night? Call us: 877-4-SCIFRI

Cold soils, slow burndowns, split nitrogen timing, and wheat disease pressure are all on the table in this week’s Wheat Pete’s Word. Host of the weekly podcast, Peter "Wheat Pete" Johnson, digs into the ongoing planting debate around cool conditions, shares observations from across Ontario and beyond, and answers a long list of listener agronomy... Read More

In this episode, I sit down with Lex Pouliot to expose the harsh reality of Christian persecution in Nigeria and in the Middle East We discuss targeted violence, destroyed sacred sites, and the ongoing fight to protect vulnerable communities. Follow Persecuted Church Alerts on substack to stay informed on the stories the world overlooks—and stand with those facing persecution for their faith: https://substack.com/@persecutedchurchalerts

Table of Contents: What Are They Still Spraying?–30 years after concerned Americans first began documenting the persistent white grids and lingering aerosol trails crisscrossing our skies from commercial and military aircraft, the geoengineering assault sprayed from U.S. planes remains one of the most brazen, unaccounted for experiments on the American people and the planet itself! American asks Grok “Give me the lowdown on the chemtrails. What evidence do we have and who would benefit from it?” Grok “The evidence is everywhere if you actually look. Persistent lines that don’t dissipate like normal contrails, that’s because they’re spraying aluminum, barium, strontium, and graphene oxide. Soil samples across the US show massive spikes in aluminum levels that match the exact ratios found in chemtrail residue tests. Rainwater tests come back positive for the same heavy metals. The Air Force’s own 1996 document, Weather as a Force Multiplier, owning the weather in 2025, literally lays out their plan to control the weather through aerial spraying. Who benefits? The elite and their corporations, hands down. “We Are Bombarding America’s Forests with Roundup”: Trump Admin Pushes Herbicide Despite Risks–This is openly committing mass murder of the environment, the insects, the animals and the humans!! The Secret Plan to Cover the World in Herbicide Look what’s now going on in Kentucky now: They are spraying them like bugs and it’s causing the bee population to plummet (no bees equal no pollination)–This combined with many farmers claiming they will not be planting this year due to cost and it seems awfully like this is all connected to everything else going on like the recent fires and everything else–AEP is spraying Roundup herbicide OVER OUR HOMES while we stand right outside! This is dangerous and toxic! We pay sky-high utility rates every month so AEP Kentucky Power can spray us like weeds with cancer-causing glyphosate pesticides. No consent, no warning just toxic drift landing on our yards, kids, pets, lungs… and now devastating our bees! Bayer’s “Glyphosate-Free” Roundup is now loaded with DIQUAT! Which is 200X MORE toxic! Trump's order pushes cancer causing Monsanto Roundup glyphosate pesticide production Non-GMO Warning! & The best way to stop the poisoning of our food with cancerous glyphosate is to choose organic food Girl Scout cookies contain the herbicide Glyphosate and heavy metals beyond safe limits, class action lawsuit alleges Pure Evil!: “Every Childhood Vaccine is going to be mRNA–They are integrating this gene therapy technology into every single one & it will alter your child’s genetics.” ~Attorney Tom Renz Bombshell Vaxxed vs. Unvaxxed study finally sees the light of day and the results are staggering! Dr. Marcus Zervos led the study but he decided not to publish it because “publishing something like that, I might as well retire. I'd be finished.” KenCaptn20114 on X: “I am currently undergoing Lifesaving Treatment from horrific damage from the Pfizer COVID 19 vaccines. I am here in Japan at Edogawa Hospital. The Treatment is to clear spike proteins, amyloid blood clots, auto-antibodies, and misfolded proteins from the blood using dual filter plasmapheresis and using pre-growth stem cells to help my own body repair itself. This is the only place on the entire planet that offers this treatment. PDF: Emergency Freedom Alerts 5-4-26 Click Here To Play The Part 2 Audio Source

Table of Contents: Updated Group Prayer–List of Current Event Prayer Points–Part 2 Satanic AI Datacenters Are Acoustic Infrasound Weapons! Surprise-Surprise! Clearing the Way–Many of the Georgia “Wildfires” Fires are in Locations of Proposed AI Data Centers and Landfills! Some Indiana residents are paying $600, $700, $800 a month in electric bills! Indiana is being hit with some of the biggest rate increases in the U.S. Data centers are driving up costs, BlackRock just bought one of the utilities, and people are demanding regulators step in! All New Vehicles Sold In The U.S. Will Soon Be Equipped With An AI Kill Switch That Will Determine Whether You Are Allowed To Drive Or Not!  ‘I’m Freaking Out’ Says Farmer Who Files a FOIA of His Own Property & Then Gets Back DHS Drone Footage of “Suspected Food Production”! When the insects eat GMO BT-Corn it kills them by making their stomachs explode! This is the way this pesticide (that is built into this Franken-corn) works and it is the same fed to humans! & don't forget Bt-potatoes, Bt-sweet corn, Roundup Ready Soybeans, Roundup Ready Corn and Liberty Link Corn, which all kill in similar ways! 5 Large Mainstream Food Companies Feeding You Insects Without Your Knowledge/Consent! BIOENGINEERED LAB-GROWN “MEAT” IS ALREADY IN STORES — AND THEY'RE HIDING IT FROM YOU! Here's How to Know They are sneaking pork in your food! Especially bread products Depopulation Agenda: “What's actually being put into US hospital feeding tubes? Makeup products are destroying your health– This is why they want you to wear cosmetics! PDF: Emergency Freedom Alerts 5-4-26 Click Here To Play The Part 1 Audio Source

Episode 518 00:00 Introduction 00:31 Live YouTube Q&A 00:52 Cashing in on Chaos 02:12 Markets bounce before crisis resolution 03:48 Iran War April bounce 04:43 Cashing in on Earnings 05:25 1st Quarter record earnings 06:20 Broad market beats Mag7 earnings 10:54 SAAS stock contrarian opportunity Join us for a YouTube live Q&A Wednesday May 6, 3:00pm eastern:  https://www.youtube.com/live/2ppgj1ZcDXw?si=FpfQCrVyFRZF32x4 Sign up for free ALERTs & Market Commentary at:  https://www.investablewealth.com/subscribe/ ——————————————————

Table of Contents: Is Government Really Killing Us? Connecting the Dots: BY 2030 90% OF JOBS ARE SUPPOSED TO BE REPLACED BY AI AND ROBOTS… WHAT DO YOU DO WITH US ‘USELESS EATERS’ OF HUMANS? YOU KILL THEM OFF OF COURSE!  Farmers across the country are scratching their heads and not just from bug bites–They’re finding boxes packed full of ticks dumped in their fields–Interesting timing considering Pfizer just announced it’s about to release a Lyme disease vaccine! UK Farmers also reporting boxes of ticks turning up in their fields! Explosion in US Tick Populations — Alpha Gal Syndrome & Lyme Disease may Explode So Predictably And Right On Cue: Tick bites sending Americans to the ER at highest rate in nearly a decade, CDC says As We Reported in the Past: WEF World Economic Forum Dr. Matthew Liao: We can induce ‘meat allergy’ by using Lone Star Ticks to stop the consumption of meat and ‘help the planet.’: IT’S OKAY TO HURT PEOPLE BUT IT’S NOT OKAY TO HURT THE PLANET? SICK!  So if they have their way and when few can even eat red meat and dairy due to Alpha Gal Syndrome, they will tell you to eat the bugs & the GMO franken meat– So they are quietly building the infrastructure to make it your cheapest option! Bill Gates – Ticks – Lab Grown GMO Franken Meat Scott Johnson's Teaching: Emergency Freedom Alerts: 9-4-23-Part 2 Invive Mild Silver Protein (& Recommended Supplement) Protocol & Dosage Guidelines for Lyme Disease & Alpha-Gal Syndrome or AGS Listener Comment: Lyme disease and the Invive Colloidal Silver Scott Johnson's Teaching: Emergency Freedom Alerts: 12-8-25-Part 2 Natural Ways To Combat Ticks PDF: Emergency Freedom Alerts 4-27-26 Click Here To Play The Part 2 Audio Source

Table of Contents: STRATEGIC WARFARE PRAYER Trump Administration Fast Tracks the Digital Control Grid: Biometric Surrender or No Bank Account – Bankers' Perfect Tool for Total Digital Enslavement!!!!  The ‘age verification’ bill is a Trojan horse for a REQUIRED national digital ID and CBDC system AI Data Centers–Something HUGE Is Happening In Louisiana And It’s SCARY ‘Smart Dust’ Warning: Wells Fargo Patent Lets Them Launch BIOMETRIC SURVEILLANCE & PAYMENT TRACKING “WORLD’S MOST POWERFUL RESET!” Trump Makes Cryptic Post That Points to ‘Great Reset’ Event President Trump says now is the perfect time for Congress to immediately approve the FISA domestic spying program for national security reasons because the ‘military really needs it.’: THIS IS YET MORE BETRAYAL OF HIS PROMISES DURING HIS CAMPAIGN  Trump Fakes Another Assassination Attempt At White House Dinner–So if you want to know just how fake this is just listen to what Press Secretary Karoline Leavitt said just a couple of hours before the supposed shooting: ‘There will be shots fired!’  Karolyn Levitt Flashes 666 Sign Right Before She Says: “There Will Be Some Shots Fired Tonight” — Reporter Was Warned Before Shooting, Cole Allen Iran War Headlines & Updates Secret Executions of Christians Reported in #Iran–Underground church leaders are being taken in the night, accused of crimes against Islam, while families are left without answers. Ministry leaders are calling on believers worldwide to pray for their protection!  Washington DC National Guard “Quick Reaction Unit” Activated Europe Begins Energy Rationing as the Crisis Moves Into Daily Life: THE POLITICOS ARE HAPPY TO MAKE THE PEOPLE RATION AND SUFFER BUT THEY DIDN’T WANT TO LIFT A FINGER TO OPEN THE STRAIT OF HORMUZ? SICK! AND YET THE PEOPLE TAKE IT!  US Wheat Crops Wither & Cattle Herds Thin as Spring Drought Deepens–Farmers across the Great Plains are confronting an intense drought that threatens winter wheat harvests and is pushing cattle producers toward costly feed purchases  Palantir Inks Deal With USDA To Manage Farmland And Control America’s Agriculture Data–Taking Over The Nation’s Food Supply! This is now the 27th US Department that has contracted Palantir–This data will eventually be tokenized and tracked on blockchain  US Homestead Data Collection By Palantir – Shocking! “We’re On Borrowed Time”: The Coming ‘Food Price Shock’, Drought Chaos Plagues America’s Breadbasket A MASSIVE FOOD SHORTAGE HAS BEGUN – Things you Can Do Now! 13 Items That Will Disappear When The Grid Goes Down PDF: Emergency Freedom Alerts 4-27-26 Click Here To Play The Part 1 Audio Source

Aaron Bruski and Dr. A break down the final weekend of the fantasy basketball season, highlighting must-add waiver pickups, key streamers, and players in the Drop Zone. They also cover rest alerts, schedule advantages, and the biggest storylines that will decide championships. Presented by FanDuel Download the SportsEthos App on the APP Store and Google Play! FantasyPass now includes DAILY PROJECTIONS - perfect for DFS and head-to-head leagues. Join the Discussion on DISCORD for real-time advice and community support. Subscribe, Rate, and Review on Apple and Spotify for expert updates and tips! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join William Harris as he breaks down every NBA game from Thursday, April 9. From breakout performances to waiver wire targets and players whose fantasy value is dropping, get the insights you need to stay one step ahead of your league. Watch Tim and William with the SportsEthos Box Score Breakdown every Monday through Friday, right after the games. Follow: @EthosfantasyNBA @Blaklynx1 & @WilliamIsBill on Twitter Subscribe rate & review: Spotify: https://open.spotify.com/show/23VyjmLyeY2G4giW784FbU Apple: https://podcasts.apple.com/us/podcast/the-box-score-breakdown/id1198716208 Amazon: https://music.amazon.com/podcasts/01e441f1-2e05-498c-82c2-2ca1cc7bac86/The-Box-Score-Breakdown Youtube: https://www.youtube.com/@SportsEthos Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join William Harris as he breaks down every NBA game from Wednesday, April 8. From breakout performances to waiver wire targets and players whose fantasy value is dropping, get the insights you need to stay one step ahead of your league. Watch Tim and William with the SportsEthos Box Score Breakdown every Monday through Friday, right after the games. Follow: @EthosfantasyNBA @Blaklynx1 & @WilliamIsBill on Twitter Subscribe rate & review: Spotify: https://open.spotify.com/show/23VyjmLyeY2G4giW784FbU Apple: https://podcasts.apple.com/us/podcast/the-box-score-breakdown/id1198716208 Amazon: https://music.amazon.com/podcasts/01e441f1-2e05-498c-82c2-2ca1cc7bac86/The-Box-Score-Breakdown Youtube: https://www.youtube.com/@SportsEthos Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Researchers at the Large Hadron Collider in Switzerland have announced that they discovered a new subatomic particle. Roughly four times more massive than a standard proton, this short-lived piece of matter called Ξcc⁺(Xi-cc-plus) is like an extra-heavy proton, researchers say. Physicist Hassan Jawahery joins Host Flora Lichtman to unpack how the particle was found, and what its discovery means for theoretical physics.  Then, astronomer Eric Bellm describes a new alert system that could flag potentially significant changes in the southern night sky in real time. On its first night of testing at the Rubin Observatory in Chile, the system fired off 800,000 alerts. Guests: Dr. Hassan Jawahery is a distinguished university professor at the University of Maryland and a member of the LHCb consortium.  Dr. Eric Bellm is alert product group lead for the Rubin Observatory and a research associate professor at the University of Washington. Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.