Podcasts about SLA

Today we are diving into the murky world of destructive cults and manipulative relationships with our expert guest, Rick Alan Ross. In this eye-opening discussion, we'll explore the sinister techniques of love bombing and conditional affection, the perils of manipulation and dependency, and the devastating impacts of isolation and indoctrination.We'll also delve into the challenging journey of leaving these toxic environments and the intricate process of recovery. Rick will shed light on the startling realities of female cult leaders, such as Amy Carlson and Elizabeth Claire Prophet, and discuss the role of intelligence and success in cult recruitment. We'll get a closer look at extreme cult behaviors and the manipulative power of leaders like Charles Manson, while highlighting the importance of cult awareness in today's society, especially through social media.Additionally, we'll cover fascinating stories of high-profile cases like Susan Carlson's “Love Has Won” and the notorious cult leader Keith Ranieri of nxivm, dissecting the dual-edge sword of the internet in both aiding and exposing cult activities. Join us as we delve into the psychological entrapment of cult members and uncover interventions that can potentially save lives.Whether you're familiar with cult dynamics or learning about them for the first time, this episode promises to be both informative and chilling. So sit back, get comfortable, and let's jump right in!SHOWNOTES00:00 Beware of manipulation: Love bombing and control.04:27 Isolation limits feedback, ensuring control and dependency.08:31 Charismatic leader controlled, abused small devoted following.12:04 Beware online groups for cult-like behaviors.15:19 Keith Raniere trial: witnessed downfall after lengthy battle.18:00 Seek professional help to understand and recover.21:32 Mark uses social media to educate against cults.25:15 Manson incited race war due to failed fame.29:32 Cult leaders manipulate followers into apocalyptic narratives.33:02 Leslie Van Houten: cult recovery, family support, transformation.35:42 Elizabeth Smart kidnapped, abused, coerced, threatened family.39:17 Patty Hearst, SLA involvement, prison, Carter commutation.44:22 Defining cults, coercive tactics, and family concerns.47:29 Love-based relationships reveal truth through discussions.51:50 Find me on Twitter @XallenRoss; culteducation.com resources.FOLLOW LISA:Instagram: https://www.instagram.com/lisabilyeu/Twitter: https://twitter.com/lisabilyeuYouTube: https://www.youtube.com/womenofimpactTik Tok: https://www.tiktok.com/@lisa_bilyeu?lang=enSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Digital surgery has morphed from buzzword into ubiquitous high-impact technology. In this episode, the BTK MIS team steps into the rapidly evolving ecosystem of cameras, sensors, robotics, and software that are turning surgical operations into structured, analyzable datasets. From AI segmentation to real-time telepresence, don't miss this opportunity to catch up on what's new and what's next, what's exciting and what's terrifying, just on the horizon of your surgical career. Hosts: ·      James Jung, MD, PhD, Assistant Professor of Surgery, Duke University·      Jacob Greenberg, MD, EdM, MIS Division Chief and Vice Chair for Education, Duke University·      Zachary Weitzner, MD, Minimally Invasive and Bariatric Surgery Fellow, Duke University, @ZachWeitznerMD·      Joey Lew, MD, MFA, Surgical resident PGY-3, Duke University, @lew__actuallyLearning Goals: By the end of this episode, listeners will be able to:·      Define “digital surgery” and describe its core components, including video capture, instrumentation, robotics, data analytics, and system connectivity. ·      Discuss current and emerging applications of digital surgery in surgical education, including video-based self-assessment, procedural segmentation, and structured feedback models. ·      Describe how digital tools can be used to improve OR efficiency and resource utilization, including instrumentation usage, operative time analysis, and workflow optimization. ·      Summarize current telepresence and teleproctoring technologies and their clinical use cases, including augmented reality–based collaboration across institutions and geographic boundaries. ·      Identify key ethical, legal, and operational challenges in digital and tele-surgery, including credentialing, cross-state licensure, liability, and trust in remote expertise. ·      Discuss how digital surgery may reshape surgical training and competency-based assessment, including implications for autonomy, deliberate practice, and feedback frequency. ·      Recognize future directions of digital surgery integration, including predictive analytics, simulation using patient-specific imaging, and AI-assisted intraoperative decision support.References:  Balvardi S, Semsar-Kazerooni K, Kaneva P, et al. Validity of video-based general and procedure-specific self-assessment tools for surgical trainees in laparoscopic cholecystectomy. Surg Endosc. 2023;37(3):2281-2289. doi:10.1007/s00464-022-09466-6 [https://pubmed.ncbi.nlm.nih.gov/36307525/] Hospital Utilizes Intraoperative Idle Time Metrics to Improve Surgical Safety and Efficiency. Theator | The Surgical Intelligence Company. Accessed March 20, 2026. https://theator.io/customer-story/hospital-utilizes-intraoperative-idle-time-metrics-to-improve-surgical-safety-and-efficiency/ Campbell KK, Abreu AA, Zeh HJ, et al. Using OR Black Box Technology to Determine Quality Improvement Outcomes for In-situ Timeout and Debrief Simulation. Ann Surg. 2026;283(1):122. doi:10.1097/SLA.0000000000006438 [https://pubmed.ncbi.nlm.nih.gov/38317208/] Al Abbas AI, Meier J, Daniel W, et al. Impact of team performance on the surgical safety checklist on patient outcomes: an operating room black box analysis. Surg Endosc. 2024;38(10):5613-5622. doi:10.1007/s00464-024-11064-7 [https://pubmed.ncbi.nlm.nih.gov/39069926/] Proximie's telepresence platform helps surgeons across the globe grow and exchange experience in real-time. World Health Expo Insights. Accessed March 20, 2026. https://www.worldhealthexpo.com/insights/telemedicine/proximie-s-telepresence-platform-helps-surgeons-across-the-globe-grow-and-exchange-experience-in-real-time Hassan AE, Desai SK, Georgiadis AL, Tekle WG. Augmented reality enhanced tele-proctoring platform to intraoperatively support a neuro-endovascular surgery fellow. Interv Neuroradiol. 2022;28(3):277-282. doi:10.1177/15910199211035304 [https://pubmed.ncbi.nlm.nih.gov/34538166/] SAGES Digital Surgery Working Group; Ali JT, Yang G, Green CA, Reed BL, Madani A, Ponsky TA, Hazey J, Rothenberg SS, Schlachta CM, Oleynikov D, Szoka N. Defining digital surgery: a SAGES white paper. Surg Endosc. 2024 Feb;38(2):475-487. doi: 10.1007/s00464-023-10551-7. Epub 2024 Jan 5. PMID: 38180541. [https://pubmed.ncbi.nlm.nih.gov/38180541/] Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.  If you liked this episode, check out our recent episodes here: https://behindtheknife.org/listenBehind the Knife Premium: https://behindtheknife.org/premiumOral Board Review: https://behindtheknife.org/oral-boardOral Board Simulator: https://behindtheknife.org/oral-board/simulatorGeneral Surgery Oral Board Review Course: https://behindtheknife.org/premium/general-surgery-oral-board-reviewTrauma Surgery Video Atlas: https://behindtheknife.org/premium/trauma-surgery-video-atlasDominate Surgery: A High-Yield Guide to Your Surgery Clerkship: https://behindtheknife.org/premium/dominate-surgery-a-high-yield-guide-to-your-surgery-clerkshipDominate Surgery for APPs: A High-Yield Guide to Your Surgery Rotation: https://behindtheknife.org/premium/dominate-surgery-for-apps-a-high-yield-guide-to-your-surgery-rotationVascular Surgery Oral Board Review Course: https://behindtheknife.org/premium/vascular-surgery-oral-board-reviewColorectal Surgery Oral Board Review Course: https://behindtheknife.org/premium/colorectal-surgery-oral-board-reviewSurgical Oncology Oral Board Review Course: https://behindtheknife.org/premium/surgical-oncology-oral-board-reviewCardiothoracic Oral Board Review Course: https://behindtheknife.org/premium/cardiothoracic-surgery-oral-board-reviewOBGYN Oral Board Review Coures: https://behindtheknife.org/course/obgyn-oral-board-reviewEPA Playbook: https://behindtheknife.org/course/epa-playbookSurgical Instrument Flashcards: https://behindtheknife.org/course/surgical-instrument-flashcardsABSITE Review: https://behindtheknife.org/course/absite-2026-exam-reviewDownload our App:Apple App Store: https://apps.apple.com/us/app/behind-the-knife/id1672420049Android/Google Play: https://play.google.com/store/apps/details?id=com.btk.app&hl=en_US

Welcome to another enlightening episode of Women of Impact, where today's conversation will take you deep into the world of cults and manipulative relationships. I'm your host, Lisa Bilyeu, and joining me is cult expert Rick Alan Ross. In this episode, we unravel the insidious tactics of love bombing and conditional affection, the manipulation and dependency that cults and abusive relationships foster, and the isolation and indoctrination techniques that rob individuals of their autonomy.We also delve into the intricacies of leaving such environments and the intense feelings of shame and guilt that often accompany this challenging process. We'll discuss gender dynamics in narcissistic behaviors, the rise of female cult leaders like Amy Carlson and Elizabeth Claire Prophet, and the complex realities faced by cult members. From high-profile cases like Charles Manson's manipulation tactics and Leslie Van Houten's eventual transformation, to the impact of modern social media in cult awareness, Rick offers invaluable insights into how cults recruit even the most intelligent individuals and celebrities.Plus, we explore the critical role of intervention and the journey towards recovery, touching on compelling stories like Elizabeth Smart's and Patricia Hearst's abductions and subsequent reprogramming. Whether you're curious about the psychological traps of cults, or looking for ways to protect yourself and others, this episode is a powerful guide to understanding and safeguarding your autonomy.SHOWNOTES00:00 Beware of manipulation: Love bombing and control.04:27 Isolation limits feedback, ensuring control and dependency.08:31 Charismatic leader controlled, abused small devoted following.12:04 Beware online groups for cult-like behaviors.15:19 Keith Raniere trial: witnessed downfall after lengthy battle.18:00 Seek professional help to understand and recover.21:32 Mark uses social media to educate against cults.25:15 Manson incited race war due to failed fame.29:32 Cult leaders manipulate followers into apocalyptic narratives.33:02 Leslie Van Houten: cult recovery, family support, transformation.35:42 Elizabeth Smart kidnapped, abused, coerced, threatened family.39:17 Patty Hearst, SLA involvement, prison, Carter commutation.44:22 Defining cults, coercive tactics, and family concerns.47:29 Love-based relationships reveal truth through discussions.51:50 Find me on Twitter @XallenRoss; culteducation.com resources.FOLLOW LISA:Instagram: https://www.instagram.com/lisabilyeu/Twitter: https://twitter.com/lisabilyeuYouTube: https://www.youtube.com/womenofimpactTik Tok: https://www.tiktok.com/@lisa_bilyeu?lang=enSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ciarán Donnelly, senior vice president for International Programs at International Rescue Committee talks about the ongoing war and displacement crisis in Sudan, plus Mark Townsend, senior global development reporter at the Guardian and the author of No Return: The True Story of How Martyrs Are Made (Guardian Faber Publishing, 2020), explains the role of the UK and the United Arab Emirates in the conflict. Photo: KHAZAN TUNJUR, JEBEL MARRA, NORTH DARFUR, SUDAN — FEBRUARY 26, 2026: A Sudanese Liberation Army (SLA) soldier walks past dead donkeys on the outskirts of a remote village. Residents say a livestock disease has killed animals relied on to transport food, water and firewood. In this isolated, SLA-held area, where many displaced civilians have sought refuge from surrounding violence and remain largely cut off from markets and aid routes, the loss has compounded already severe hardship. (Photo by Giles Clarke/Avaaz via Getty Images)   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

В этом выпуске мы поговорили о том, как устроена техническая поддержка в K2 Cloud и какие процессы помогают обеспечивать стабильную работу облачной платформы и инфраструктуры клиентов. Своим опытом поделился руководитель технической поддержки и команд внедрения K2 Cloud Никита Борзов. Он рассказал: • как устроены линии • технической поддержки и за что отвечает каждая из них; • как организованы обработка заявок, приоритизация, эскалация и контроль SLA; • какие инструменты использует команда, включая Jira, Telegram-бота и собственные доработки; • как искусственный интеллект помогает автоматизировать работу поддержки и сокращать время реакции на инциденты; • какие навыки нужны специалистам первой линии, как выстроен их карьерный рост и почему поддержка становится отличной точкой входа в облачную инфраструктуру; • на что стоит обратить внимание компаниям, которые только строят собственную службу технической поддержки. Оставайтесь на связи Пишите нам: info@linkmeup.ru Канал в телеграме: t.me/linkmeup_podcast Канал на youtube: youtube.com/c/linkmeup-podcast Подкаст доступен в iTunes, Google Подкастах, Яндекс Музыке, Castbox Сообщество в вк: vk.com/linkmeup Группа в фб: www.facebook.com/linkmeup.sdsm Добавить RSS в подкаст-плеер. Пообщаться в общем чате в тг: https://t.me/linkmeup_chat Поддержите проект:

Josh Hobein, manager of cybersecurity and automation at Centrex IT, discusses how MSPs can be run like five-star restaurants by prioritizing service, empathy, and experience over mere SLA “checkbox” performance. Drawing on his background in restaurant management, he explains how hospitality skills translate to tier-one helpdesk and why culture is defined by what leaders tolerate, requiring top-down standards, accountability, recognition, and sometimes letting misaligned people go; Centrex's ESOP model also supports ownership and buy-in. On security, he describes a simplified five-stage maturity model built from cyber insurance requirements and CIS controls (favoring CIS for its programmatic implementation groups) to help non-technical owners understand progress via a roadmap. He cautions against fear-only security selling, advocating education-based conversations, and emphasizes business-decision-focused tabletop exercises (including IRGame.ai) plus the importance of cyber insurance and minimum security baselines.Check out a scene from The Bear that demonstartes what choosing excellence looks like. This episode is brought to you by Opsleader Pro. A place for MSP owners and managers to get the systems and tools they need to build a stable and growing MSP. Part group coaching, part peer group, everything you need to run a successful MSP. (00:00) - Meet Josh Hobein (00:41) - Michelin Star MSP Mindset (02:25) - Hospitality to Helpdesk (04:39) - Service That Wins Loyalty (06:56) - Beyond SLAs With XLAs (09:36) - Leading Culture and Standards (13:06) - From IT to Restaurants Back (19:13) - Frameworks Without Jargon (22:11) - Five Stage Security Maturity (23:28) - Maturity Model Roadmap (24:57) - Fear vs Education Sales (26:00) - Dark Web Scan Reality (29:02) - Trust Through Assessments (30:17) - Cyber Insurance Minimums (32:26) - Walking Away From Risk (33:04) - Waivers and Enforceability (34:41) - Minimum Standards and Compromises (36:28) - Tabletops for Executives (39:13) - Roleplay High Stakes Decisions (41:15) - Practice Like a Restaurant Rush (42:16) - Next Monday Action Steps (43:39) - Closing and Resources

Originally broadcast live.E-commerce fulfillment is hyper-competitive. Brands are demanding faster SLA turnarounds, custom unboxing experiences, and complete real-time visibility—all while warehouse operational costs rise and margins get squeezed tighter every year.Whether you're a 3PL looking to break into e-commerce fulfillment or an established operator aiming to scale without operational chaos, we're putting this livestream on to serve as your actionable playbook.Join Kevin as he sits down with three industry powerhouses to break down the full lifecycle of a profitable e-commerce 3PL.What We'll Cover:1. How to position your 3PL to attract high-value DTC brands without entering a price war.2. Vetting your Ideal Client Profile (ICP) and setting rock-solid SLAs before signing the contract.3. Transitioning from B2B/bulk moves to unit-level pick-and-pack workflows.4. Designing lean floor processes that handle 5x seasonal volume spikes without throwing extra labor at broken processes.5. Spotting silent margin leakage: uncaptured custom labor, manual billing errors, and unmonitored SLA penalties.6. Leveraging data and SKU-level profitability models to ensure every account remains profitable.Learn more about Pallite here.Learn more about Big Joe's AP44 here. Follow us on LinkedIn and YouTube.Support the show

Elliot Williams and Al Williams got together to compare notes on the most interesting posts this week on the site. As usual, there are just too many choices, so you'll have to settle for just the few that can fit in a podcast. The guys were excited about 3D printing -- both FDM and SLA -- as well as a few camera projects. Ever wanted your own starship? They do, too, and you'll hear about it along with portable radar and more. Want to make flexible PCBs? Fill up a carbon dioxide tank? Or play Doom via regular expressions? Tune in, and you'll find out about those stories and more. Follow along with the links, and as always, tell us what you think about this episode in the comments! Better still, drop us a note in the mailbag, and you might hear your question on a future episode. You can record audio or send us a message, and one of the hosts will read it on your behalf.  

Bonjour Léo,L'indice parisien a été porté par une salve de résultats, bien accueilli dans l'ensemble par les investisseurs et termine proche de +1% sa séance.Schneider Electric s'est envolé de près de 11% après avoir dévoilé un chiffre d'affaires record au premier semestre.Il s'établit à 21.2 Milliards d'euros, soit une croissance organique de 14%.Bouygues grimpait de près de 7% après avoir dévoilé un chiffre semestriel à 26.3 milliards d'euros, légèrement supérieur aux attentes du consensus.Le groupe de construction et de télécommunications a confirmé ses perspectives pour l'ensemble de l'année 2026 et vise un chiffre d'affaires stable à taux de changes constants.En revanche, déception sur d'autres sociétésLa société pharmaceutique Sanofi a perdu près de 9%, malgré de bons résultats trimestriels.Les investisseurs se sont focalisés notamment sur la dépendance du groupe à leur médicament phare, le Dupixent, qui représente 42% des ventes.Le marché s'inquiète du coût des acquisitions qui se profilent pour le remplacer d'ici à 2031, quand son brevet tombera.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

"Si me quisieras, no me pedirías eso.""Estás muy sensible.""Yo lo hice por ti."Suenan normales. Hasta cariñosas, incluso. Por eso la manipulación es tan difícil de detectar: no llega gritando, llega disfrazada de preocupación, de amor o de razón.En este episodio analizamos 5 frases que se repiten en vínculos manipuladores —de pareja, familia o amistad— y que muchas veces pasan completamente desapercibidas porque las normalizamos desde muy jóvenes.

On Mission series, SLA graduation, Adi Reed, 19 July 2026

Join us as we discuss research on mental health and wellbeing in the surgical workforce with Drs. Yang and Collins. The episode explores key findings from recent national surveys showing that nearly one in seven surgeons report suicidal ideation in the past year, with depression, anxiety, and PTSD affecting 15–20% of the surgical population. The conversation highlights protective factors—professional fulfillment, resilience, self-valuation, and connection—while distinguishing between healthy resilience and normalized suffering. Dr. Yang and Dr. Collins discuss systemic barriers including time constraints, out-of-pocket mental health costs, and persistent stigma, alongside actionable institutional interventions: protecting dedicated wellbeing time, establishing peer support and psychological first aid programs, ensuring free mental health access, and expanding research to understand what helps surgeons thrive. The episode emphasizes that self-care is essential to patient safety and invites listeners to become advocates, engage with the literature, and help drive culture change within their institutions. For more information about the AAS wellbeing survey, please email Dr. Yang at CJYANG@MGH.HARVARD.EDU.Host:   Steven Thornton, MD (General Surgery Resident at Duke University) Agnes Premkumar (General Surgery Resident at Creighton) Guests: Jeff Yang, MD (Massachusetts General Hospital) Reagan Collins, MD (University of Pennsylvania) Publications Discussed: Hughes TM, Collins RA, Cunningham CE. Depression and Suicide Among American Surgeons-A Grave Threat to the Surgeon Workforce. JAMA Surg. 2024 Jan 1;159(1):7-8. doi: 10.1001/jamasurg.2023.4658. PMID: 37792380. [https://pubmed.ncbi.nlm.nih.gov/37792380/] Collins RA, Herman T, Snyder RA, Haines KL, Stey A, Arora TK, Geevarghese SK, Phillips JD, Vicente D, Griggs CL, McElroy IE, Wall AE, Hughes TM, Sen S, Valinejad J, Alban A, Swan JS, Mercaldo N, Jalali MS, Chhatwal J, Gazelle GS, Rangel E, Yang CJ, Donelan K, Gold JA, West CP, Cunningham C. Unspoken Truths: Mental Health Among Academic Surgeons. Ann Surg. 2024 Mar 1;279(3):429-436. doi: 10.1097/SLA.0000000000006159. Epub 2023 Nov 23. PMID: 37991182. [https://pubmed.ncbi.nlm.nih.gov/37991182/]  Yaghmour NA, Bynum WE 4th, Hafferty FW, Könings KD, Richter T, Brigham TP, Nasca TJ. Causes of Death Among US Medical Residents. JAMA Netw Open. 2025 May 1;8(5):e259238. doi: 10.1001/jamanetworkopen.2025.9238. Erratum in: JAMA Netw Open. 2025 Jul 1;8(7):e2523489. doi: 10.1001/jamanetworkopen.2025.23489. PMID: 40366660; PMCID: PMC12079293. [https://pubmed.ncbi.nlm.nih.gov/40366660/] Nasca BJ, Hunt ML, Ramirez RT, Eng JS, Li RD, Agarwal G, Bilimoria KY, Hu YY. One is too many: suicidality among general surgery residents. Acad Med. 2025 Dec 24:wvaf105. doi: 10.1093/acamed/wvaf105. Epub ahead of print. PMID: 41819820. [https://pubmed.ncbi.nlm.nih.gov/41819820/] Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.  If you liked this episode, check out our recent episodes here: https://behindtheknife.org/listenBehind the Knife Premium: https://behindtheknife.org/premiumOral Board Review: https://behindtheknife.org/oral-boardOral Board Simulator: https://behindtheknife.org/oral-board/simulatorGeneral Surgery Oral Board Review Course: https://behindtheknife.org/premium/general-surgery-oral-board-reviewTrauma Surgery Video Atlas: https://behindtheknife.org/premium/trauma-surgery-video-atlasDominate Surgery: A High-Yield Guide to Your Surgery Clerkship: https://behindtheknife.org/premium/dominate-surgery-a-high-yield-guide-to-your-surgery-clerkshipDominate Surgery for APPs: A High-Yield Guide to Your Surgery Rotation: https://behindtheknife.org/premium/dominate-surgery-for-apps-a-high-yield-guide-to-your-surgery-rotationVascular Surgery Oral Board Review Course: https://behindtheknife.org/premium/vascular-surgery-oral-board-reviewColorectal Surgery Oral Board Review Course: https://behindtheknife.org/premium/colorectal-surgery-oral-board-reviewSurgical Oncology Oral Board Review Course: https://behindtheknife.org/premium/surgical-oncology-oral-board-reviewCardiothoracic Oral Board Review Course: https://behindtheknife.org/premium/cardiothoracic-surgery-oral-board-reviewDownload our App:Apple App Store: https://apps.apple.com/us/app/behind-the-knife/id1672420049Android/Google Play: https://play.google.com/store/apps/details?id=com.btk.app&hl=en_US

Almost all SLA researchers agree on one core point: Comprehensible input is necessary for language acquisition... but, there is now widespread agreement that in a school environment, that input must also be compelling, interesting and engaging. Comprehensible alone is not enough to hold our students' short attention spans in the current busy classroom - the input needs a narrative arc to engage our students and ensure they are paying enough attention to the input so that it can become acquired.In this episode we explore the use of narrative and story in the language classroom as a way to maintain engagement and boost acquisition. So, what are your thoughts on this?Full programme notes are available on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.liamprinter.com/podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Keep in touch and share!Follow The Motivated Classroom on Instagram ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@themotivatedclassroom⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and Facebook ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@themotivatedclassroom⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.I'd love to know what you think, please get in touch! Join the conversation with the hashtag #MotivatedClassroom.Leave a review on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Enjoying the free content? Support the podcast here:

On this day, 2 July 1848, enslaved people in St Croix (now the US Virgin Islands) rebelled, burned down plantations and besieged the town of Frederiksted. The Caribbean island was at that time a Danish colony, and it had been decreed that slavery would be abolished in 1859, but the enslaved workers refused to wait. After revolutions in Europe led to turmoil in nearby Martinique and Guadeloupe, hundreds of rebels seized the moment and rose up. By the end of the day, only the local military garrison, Fort Frederiksværn, had not yet been overrun. The following day, the governor general, Peter von Scholten arrived. Faced with demands from the enslaved people to immediately abolish slavery, or they would burn the town to the ground, he relented and shouted out: “Now you are free, you are hereby emancipated.”Technically von Scholten had no authority to abolish slavery, and he was strongly criticised by enslavers and Danish authorities. But faced with a fait accompli, Denmark had no real choice but to accept the situation. The agreement achieved by the formerly enslaved people went even further than just immediate emancipation, as the order issued on the night of July 3 also applied to the Danish colonies of St Thomas and St John, and directed that the enslaved had the right to keep their current housing and provisions for three months, and that elderly and ill labourers had to be looked after by the former enslavers "until further determination".The old enslavers subsequently sued the Danish government demanding recompense for the loss of their "property". Danish Parliament rejected their claim, on the grounds that "slavery [was] itself an institution in conflict with religion and justice". But they did then agreed to pay a relatively low compensation figure of $50 per enslaved person.More information, sources and map: https://stories.workingclasshistory.com/article/9191/st-croix-enslaved-revoltOur work is only possible because of support from you, our listeners on patreon. If you appreciate our work, please join us and access exclusive content and benefits at patreon.com/workingclasshistory.See all of our anniversaries each day, alongside sources and maps on the On This Day section of our Stories app: stories.workingclasshistory.com/date/todayBrowse all Stories by Date here on the Date index: https://stories.workingclasshistory.com/dateCheck out our Map of historical Stories: https://map.workingclasshistory.comCheck out books, posters, clothing and more in our online store, here: https://shop.workingclasshistory.comIf you enjoy this podcast, make sure to check out our flagship longform podcast, Working Class History

How is portal vein embolization (PVE) pushing the boundaries of liver tumor resectability, and what does it take to induce hypertrophy without compromising the remnant liver? In this episode of the BackTable Podcast, interventional radiologist Dr. David Madoff of Yale University joins Dr. Michael Barraza to discuss the pathophysiological rationale, technical considerations, and emerging clinical paradigms of performing PVE to augment the future liver remnant (FLR) prior to resection and reduce the risk of postoperative liver failure. --- Get the BackTable apphttps://www.backtable.com/app --- This podcast is supported by RADPAD® Radiation Protectionhttps://www.radpad.com/ --- Timestamps 00:00 - Introduction02:14 - IO Practice and Research07:25 - PVE Indications and Adequate FLR12:55 - Referrals and Patient Selection17:27 - PVE vs. Y90 Radiation Lobectomy22:12 - Liver Venous Deprivation25:31 - Measuring FLR Function30:11 - Procedural Planning and Technique36:36 - Preferred Embolic Agents and Challenges46:58 - Ipsilateral vs. Contralateral Access50:52 - Complications, Medications, and Follow-Up55:45 - Final Thoughts and Closing Remarks --- More about this episode The physicians dissect the anatomic and oncologic benchmarks used to select PVE candidates, including FLR volumetric thresholds for normal, steatotic, and cirrhotic livers. Dr. Madoff walks through his procedural technique, detailing catheter maneuvers and embolic administration, emphasizing the importance of evaluating for anatomic variants, and explaining the benefits of using an ipsilateral approach to protect the FLR. The doctors critique ongoing debates in hepatic augmentation, assess the complementary relationship between PVE and Y90 radioembolization, and discuss the outcomes and risks associated with different embolic agents. They stress the importance of patient selection and assessment protocols that go beyond static volumetric measurements to incorporate functional parameters for better prediction of regenerative kinetics and clinical outcomes. The episode concludes with a review of postprocedural follow-up and potential complications, highlighting the importance of considering pathophysiologic dynamics of both the tumor and the anticipated liver remnant to ensure successful treatment. --- Resources DRAGON Trialhttps://www.dragontrial.com/ Three hundred and one consecutive extended right hepatectomies: Evaluation of outcome based on systematic liver volumetryhttps://doi.org/10.1097/SLA.0b013e3181b674df Portal vein embolization with N-butyl-cyanoacrylate improves liver hypertrophy compared to microparticles – A Swedish multicenter cohort studyhttps://doi.org/10.1016/j.heliyon.2023.e21210 --- BackTable Vascular & Interventional (VI) is the go-to podcast for interventional radiologists, vascular surgeons, and interventional cardiologists. Download the free BackTable app to get early access to new episodes, cases, and courses curated by physicians in your specialty. ► https://www.backtable.com/app

JOIN PATREON: www.patreon.com/dopeypodcast This week on The Wednesday Dose of Dopey! We talk the spiritual axiom, stress, anger, and trying to stay connected when recovery feels stale. He reads an intense email from Justin about quitting 7-OH, including brutal withdrawals, relapse cycles, and the strange misery of coming off something marketed as harmless. Then DJ Fat Tony returns to Dopey to talk about his new book, Recover Me, and the deeper recovery work he found after nearly 20 years sober. Tony opens up about trauma therapy, childhood sexual abuse, sex addiction, toxic relationships, Grindr, shame, ego, meetings becoming “The Tony Show,” and how he had to step back from meetings to actually work the program again. Dave and Tony dig into sex addiction, apps, cruising, recovery addiction, resentment, prayer, honesty, father wounds, and why real recovery has to keep evolving. They also celebrate Tony's global campaign to reclaim the word cunt, because of course they do. All that and much more on this Wednesday Episode of Dopey!   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Hoy hacemos una pausa para preguntarnos si la vida que estamos construyendo realmente nos representa. Un episodio para soltar expectativas ajenas, volver a escuchar lo que quieres de verdad y atreverte a tomar decisiones que se sientan fieles a quien eres.A lo largo de estos 4 años de Despertando Podcast, hemos compartido episodios que les han ayudado muchísimo, y hoy queremos traerles de vuelta todas esas herramientas que han resonado con ustedes y cambiado sus mañanas ☀️.En este episodio hablamos de:Cómo dejar de vivir buscando la aprobación de los demásLa importancia de tomar decisiones alineadas con tus propios sueñosConstruir una vida que refleje tu esencia y lo que realmente quieresSi quieres conocer más de Despertando Podcast síguenos en nuestras redes sociales:

Dr. Amy Vertrees reflects on the weekend screening of the documentary A Thousand and One Cuts and the coaching call that followed it, unpacking why women surgeons' careers are rarely derailed by one dramatic event but by an accumulation of small, repeated moments. She backs this up with hard data: female physicians and surgeons consistently produce lower mortality and complication rates than their male counterparts across multiple large studies, including a JAMA Internal Medicine analysis of 1.5 million Medicare hospitalizations and a 2025 meta-analysis spanning 13.4 million patients — yet women retire from medicine at 49 versus 62 for men. Amy then teaches the core coaching framework from that call: the difference between a fact (something everyone would agree happened) and a thought (your interpretation of it) — including why "microaggression" is a thought, not a fact, and why that distinction actually gives you more power, not less. She closes with tactical empathy, the "mythical white male" trap, and the idea that forcing yourself to be falsely polite is its own kind of self-inflicted harm.Tsugawa Y, Jena AB, Figueroa JF, Orav EJ, Blumenthal DM, Jha AK. Comparison of Hospital Mortality and Readmission Rates for Medicare Patients Treated by Male vs Female Physicians. JAMA Intern Med. 2017;177(2):206–213. doi:10.1001/jamainternmed.2016.7875Heybati K, Chang A, Mohamud H, Satkunasivam R, Coburn N, Salles A, Tsugawa Y, Ikesu R, Saka N, Detsky AS, Ko DT, Ross H, Mamas MA, Jerath A, Wallis CJD. The association between physician sex and patient outcomes: a systematic review and meta-analysis. BMC Health Serv Res. 2025 Jan 17;25(1):93. doi: 10.1186/s12913-025-12247-1. PMID: 39819673; PMCID: PMC11740500.Saka N, Yamamoto N, Watanabe J, Wallis C, Jerath A, Someko H, Hayashi M, Kamijo K, Ariie T, Kuno T, Kato H, Mohamud H, Chang A, Satkunasivam R, Tsugawa Y. Comparison of Postoperative Outcomes Among Patients Treated by Male Versus Female Surgeons: A Systematic Review and Meta-analysis. Ann Surg. 2024 Dec 1;280(6):945-953. doi: 10.1097/SLA.0000000000006339. Epub 2024 May 10. PMID: 38726676; PMCID: PMC11542977.Wallis CJD, Jerath A, Aminoltejari K, et al. Surgeon Sex and Long-Term Postoperative Outcomes Among Patients Undergoing Common Surgeries. JAMA Surg. 2023;158(11):1185–1194. doi:10.1001/jamasurg.2023.3744Shannon G, Jansen M, Williams K, Cáceres C, Motta A, Odhiambo A, Eleveld A, Mannell J. Gender equality in science, medicine, and global health: where are we at and why does it matter? Lancet. 2019 Feb 9;393(10171):560-569. doi: 10.1016/S0140-6736(18)33135-0. PMID: 30739691. Rittenberg E, Liebman JB, Rexrode KM. Primary Care Physician Gender and Electronic Health Record Workload. J Gen Intern Med. 2022 Oct;37(13):3295-3301. doi: 10.1007/s11606-021-07298-z. Epub 2022 Jan 6. PMID: 34993875; PMCID: PMC9550938. Branford GL, Bucala MD, Hepper A, Hadeed NM, Northway RM, Brenner MJ. The Gender Gap in EHR Workload: A Comparative Analysis of Primary Care Physician In Basket Usage. J Gen Intern Med. 2025 Jul;40(10):2255-2264. doi: 10.1007/s11606-025-09629-w. Epub 2025 May 29. PMID: 40439865; PMCID: PMC12344033. Rotenstein LS, He Z, Dziura J, Tsugawa Y, Venkatesh AK, Melnick ER, Gettel CJ. Sex Differences in Physician Attrition from Clinical Practice Across Specialties: A Nationwide, Longitudinal Analysis. J Gen Intern Med. 2026 Apr 2. doi: 10.1007/s11606-026-10362-1. Epub ahead of print. PMID: 41927984.

Bloomberg reported that Verizon and BT plan a joint venture combining their international enterprise units. The move would consolidate managed network services across multiple regions and could offer single-contract models for multinational customers. Regulatory approvals will likely be required in the United Kingdom, the United States, and other jurisdictions, with reviews focused on competition, security, and data residency. Integration will involve aligning OSS and BSS systems, product catalogs, and support workflows, creating potential migration risk. Customers should audit contracts, confirm assignment and SLA terms, and evaluate secondary providers for critical routes. Partners and vendors should prepare for centralized procurement and larger, consolidated bids for networking and cloud connectivity solutions.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Cyber risk is evolving faster than the policies written to cover it. Rick Wong, Head of Insurance at Parametrix Insurance, sits down with James Benham live at RIMS 2026 to talk about the future of parametric cyber — and why the standard tech E&O form wasn't designed for the exposures that actually matter today. Parametrix is a Lloyd's coverholder writing parametric cyber, SLA, and enterprise risk. Named Cyber Underwriting Team of the Year at the Intelligent Insurer Awards, Q1 2026 already at 60% of full-year 2025 volume. In this episode:→ Why standard cyber policies fail data centers→ How parametric products are being used as financial tools — not just risk transfer→ AI-powered criminal organizations, nation-state actors, and what's coming in cyber threats→ Building a differentiated MGA in a space with growing capacity and real opportunity Guest: Rick Wong - Head of Insurance at Parametrix InsuranceWebsite: https://www.parametrixinsurance.com/LinkedIn: https://www.linkedin.com/in/rick-b-wong/ Host: James Benham - Founder & CEO at JBKnowledge Sponsor: Terra - Cloud-native Workers' Comp and P&C platform | terra.insure

Il a perdu sa voix, l'usage de ses mains, la marche — mais il est quand même venu à San Francisco construire quelque chose de grand. Pendant que la Silicon Valley investit des milliards pour vaincre la mort, Olivier Goy, diagnostiqué SLA en 2020, construit l'inverse : des ponts entre la recherche, l'art, et ceux qui ont les moyens d'accélérer les choses.La Silicon Valley construit une culture où la mort est un bug. Olivier, lui, l'a acceptée et nous donne une leçon sur la vie que nous devrions tous écouter. Silicon Carne a décidé de se mobiliser et contribuer pour les patients qui ne sont pas encore nés.SILICON CARNE SE MOBILISE AUX CÔTÉS D'OLIVIER POUR FAIRE AVANCER LA RECHERCHE !Participez avec moi au projet Invincible Hope, une œuvre d'art unique qui finance la recherche.Le principe : une fresque monumentale installée sur la façade de l'hôpital Mount Sinai à New York. Des milliers de portraits photographiques, pris par Olivier, composeront en lettres géantes les mots INVINCIBLE HOPE. Visible par tous les patients, les soignants, le quartier entier, pendant 4 à 6 mois.Chaque visage compte. Les donateurs individuels deviennent partie de l'œuvre. Les chercheurs et les patients dessinent les lettres. Les entreprises peuvent parrainer une lettre entière. Silicon Carne a réservé le C de INVINCIBLE. Objectif réunir $50,000 !L'argent récolté finance intégralement un projet de recherche entre Mount Sinai et l'Institut du Cerveau à Paris. Le sujet : l'intelligence artificielle appliquée aux maladies neurodégénératives. Olivier a déjà réuni 627.500$ et le projet est immédiatement opérationnel. À notre tour de l'aider !https://www.invincible-hope.com/sc ===================❤️ NOS PARTENAIRES===================SAPIANS, Un multi-family office qui vous donne accès, dès 100 000 euros, à un niveau d'accompagnement normalement réservé aux plus fortunés : https://eu1.hubs.ly/H0vXvVr0 CORUM SCPI, le placement immobilier accessible à tous ! https://infos.corum.fr/scpi-corum-e?utm_source=silicon_carne&utm_medium=podcast&utm_campaign=fr_brand_silicon_carne_podcast_noto_scpi_campagne_scpi_626======================❤️ LIKE, FOLLOW & PARTAGE======================

We're excited to have Databricks join us at AIEWF, among hundreds of the top companies in the AI Engineer ecosystem. LS subscribers can use their discount to get past the late bird pricing and access over $50k in sponsor offers! Everyone is still talking about Satya's Frontier Ecosystems post, but few have actually built a (now $175 billion) frontier ecosystem and cloud like our guests today.From open-sourcing the layer above coding agents to rethinking databases for the agent era, Databricks cofounders Matei Zaharia and Reynold Xin are pushing the company beyond the lakehouse into a full data-and-AI operating system. In this episode, Matei and Reynold join swyx at the 2026 Data + AI Summit to unpack Omnigent, LTAP, Lakebase, agent security, open formats, Mosaic, and why databases may matter more than ever once AI agents start doing real work.We go deep on Omnigent: Databricks' open-source meta-harness for combining, controlling, and sharing agents across Claude Code, Codex, Cursor, Pi, custom agents, and internal tools. Matei explains why coding agents and enterprise agents run into the same problems: portability, collaboration, session history, security, spend controls, and the need for a common API above every harness.Then Reynold walks through Databricks' database dream: why CDC is brittle enough to joke that it means “continuous data corruption,” why HTAP has been the holy grail of database engineering, and why Databricks thinks LTAP gets most of the benefits by unifying the storage layer instead of collapsing every query engine. We also cover Databricks' infrastructure scale, the culture behind rapid prototyping, the difference between tech and enterprise customers, Databricks vs Snowflake, whether vector databases should have ever existed, the Mosaic model strategy, Genie, AI Runtime, RL fine-tuning, and the thesis that traditional software gets rewritten once the data is in the right place and agents sit on top.Databricks began as a company for the big data era. The origination of Spark from the Berkeley AMPLab which eventually turned into the product Lakehouse convinced enterprises that they didn't need a separate data lake, warehouse, ML platform, and governance layer. They just needed one open foundation where all of their data could live and be reasoned over.Since then a lot has changed, but data has only become more important. Data is no longer something you keep track of and analyze ad hoc, it's the necessary context agents need in order to act. So the framing has shifted from “where do we put all of our data?” to “how do we expose the right slice of state, history, permissions, and business logic to an AI system at the exact moment it's doing work?”If frontier model performance becomes commoditized, the durable advantage then becomes the company-specific context around them: proprietary data, governed access, operational state, transaction logs, workflows, and feedback loops. Which makes Databricks positioned perfectly.Now coming fresh off the Data + AI Summit 2026, the company is moving just as fast to keep up, announcing Genie One, Omnigent, LTAP, and many more, indicating a central mission in its newer work: Databricks is trying to become the operating system for enterprise agents.Models are getting good enough, but agents are only useful if they have the right context, permissions, memory, state, cost controls, and access to live business data. Fundamentally it appears that significantly better model performance in production is a systems problem, one that data guys like us are remarkably well prepared to solve!We discuss:* Why Databricks built Omnigent as a meta-harness above existing AI agents* Why coding agents and custom enterprise agents need the same infrastructure* The common API for agent sessions, files, streams, tool calls, and cancellation* Why persistent sessions, cloud sandboxes, sharing, search, and collaboration matter* Why Databricks open-sourced Omnigent instead of keeping it proprietary* Databricks' internal agent usage, cloud sandboxes, and coding workflows* The scale of Databricks: 50–60 million virtual machines a day and exabytes before breakfast* Why agent security needs contextual and stateful policies* How an agent could read confidential docs, install a compromised npm package, and leak data* Why spend control matters when an agent can burn $500 reading logs* Startup opportunities around coding-agent analytics, quality, skills, and spend* LTAP, Lakebase, and why Databricks wants to rethink the database stack* OLTP vs OLAP, CDC, and why data pipelines break at 3 a.m.* Why HTAP has historically been the holy grail of database engineering* Why Databricks thinks LTAP is “HTAP done right”* How writing transactional data into column-oriented formats changes analytics* Why agents need live operational context from databases, not just telemetry* How Databricks prototypes strategic systems without endless process* Enterprise vs tech customers, governance, procurement, and DIY culture* The “second system syndrome” risk of rewriting a database engine* Building a database engine from a decade of traces and quadrillions of data points* Why vector databases should never have been a separate category* Why open formats and AI changed the race with Snowflake* The Mosaic story, DBRX, Genie, document parsing models, and specialized model training* Why model customization and RL fine-tuning may become mainstream* Why “get the data there, slap some agent on top” may rewrite traditional softwareMatei Zaharia* LinkedIn: https://www.linkedin.com/in/mateizaharia* X: https://x.com/matei_zahariaReynold Xin* LinkedIn: https://www.linkedin.com/in/rxin* X: https://x.com/rxinDatabricks* Website: https://www.databricks.com* X: https://x.com/databricksTimestamps00:00:00 Introduction00:02:22 Omnigent and the Agent Infrastructure Layer00:08:39 Agent Clouds, Common APIs, and Open Source00:16:52 Databricks Scale and Internal AI Workflows00:18:03 Agent Security, Governance, and Spend Controls00:27:34 LTAP and the Database Dream00:30:30 CDC, HTAP, and Why Data Pipelines Break00:34:05 Lakebase, Parquet, and Live Data for Agents00:36:47 Databricks' Culture of Fast Prototyping00:43:40 The Dream Engine and Rewriting the Database Stack00:51:02 Vector Databases, Query Engines, and LTAP00:52:36 Databricks vs Snowflake00:57:48 Mosaic, DBRX, Genie, and Specialized Models01:03:11 Context, AI Runtime, and RL Fine-Tuning01:06:15 Why Data + Agents May Rewrite Software01:07:09 Closing ThoughtsTranscriptIntroduction: Databricks, Data + AI Summit, and Founder DynamicsSwyx [00:00:00]: Matei and Reynold from Databricks, welcome to Latent Space.Reynold Xin [00:00:06]: Hey, thanks for having us.Swyx [00:00:07]: Yeah.Matei Zaharia [00:00:08]: Yeah, thanks so much.Swyx [00:00:09]: thanks for taking time out. You have your Databricks, Data AI Summit going on. You were just telling me how the first summit that you guys ran was just 50 peopleReynold Xin [00:00:17]: Yeah, it wasSwyx [00:00:17]: in BerkeleyReynold Xin [00:00:18]: little meetup at Berkeley, I thinkMatei Zaharia [00:00:19]: YeahReynold Xin [00:00:19]: put togetherMatei Zaharia [00:00:20]: We were doing these tutorials and, yeah, just teach people Spark.Swyx [00:00:23]: Yeah. obviously now it's like, I think like the headline number's like 100,000 people around the world, 30,000 in person.Swyx [00:00:30]: it's a crazyMatei Zaharia [00:00:31]: AmazingSwyx [00:00:31]: community. Well, I just saw the keynote.Swyx [00:00:35]: Ali's just. Did was it obvious or that back when that Ali would be, like, such a great, like, CEO? LikeReynold Xin [00:00:42]: OhSwyx [00:00:42]: such a great presenter?Reynold Xin [00:00:43]: What do you think?Matei Zaharia [00:00:44]: I think among our group of founders it was clear that, I think he'd be the best at this.Swyx [00:00:50]: Yeah.Matei Zaharia [00:00:50]: And yeah, it turned out great. And he's, he's ramped up on so many topics growing a company. He would just go in and, like, study it and, be talk to all the experts. Like, even if he can't hire the person, learn enough about, like, finance and sales and whatever it was, and, and go from there. Yeah.Swyx [00:01:09]: Yeah.Reynold Xin [00:01:10]: he's obviously very high IQ and a very high EQ, but it wasn't. Like, Ali today is quite different from Ali from, like 10 years ago. I think there's a lot of work that he put in to, get to this point.Swyx [00:01:20]: Yeah. no, to me the most appealing thing about him is that he's funny. And like, it, it's, it'Matei Zaharia [00:01:26]: It's true, yeahSwyx [00:01:26]: it's hard to make jokes about, data warehousesReynold Xin [00:01:30]: About serious topicsSwyx [00:01:31]: securityMatei Zaharia [00:01:32]: YeahSwyx [00:01:32]: what have you.Matei Zaharia [00:01:33]: Oh, yeah. That's for sure.Swyx [00:01:34]: Yeah. So you guys launched a whole bunch of things. I'll, I'll just name check briefly, the stuff because we're not gonna cover everything. Omnigentt, your baby. LTAP, your baby, your dream engine.Swyx [00:01:47]: we're also gonna cover Genie, cover CustomerLake, you acquired PantherMatei Zaharia [00:01:52]: YeahSwyx [00:01:52]: Open Sharing, and there's Unity AI Gateway. A lot of these, I think, like, are things that you would expect a Databricks to do. It's, it's like part of the roadmap. Everyone in your category has similar things. But I think, probably the two of you are leading the two most unique and differentiated initiativesOmnigent and the Agent Infrastructure LayerSwyx [00:02:09]: on, in the landscape. Maybe we'll start with, Omnigentt we'll, we'll, we'll, we'll go into it. I do think that a lot of people are exploring this meta harness concept.Matei Zaharia [00:02:21]: Yeah, totally.Swyx [00:02:21]: What led you to it?Matei Zaharia [00:02:22]: Yeah. There were a couple of, like, converging lines, which I think is a good sign that you need something new. So on the one hand, there's all the coding agent info internally. We have really great, dev infra team. they built something called Isaac, that's like a wrapper on Claude Code and Codex, and, lets you use them either on the web in, like, sandboxes or, just on your dev machine or on your laptop or whatever. And then, they were adding all kinds of stuff there. And we saw all the more advanced engineers like, were building their own workflows with tons of agents, and they were building their own UIs and stuff on top or even on top of that. And then the other one was, like, us building agents. We ship this, like, data science agent called Genie on the research team, which I lead. We also build a lot of internal ones for various things, and then we have all the customer ones. And all of them running into this thing of like, “Oh, I need to switch model and harness and so on,” every few months. Plus the agent is, like, completely useless if you can't share sessions with someone and have history and have search and all this, like, layer on top of it for collaboration. I thought a bit about it from both contexts and, at first people thought it was weird. They're like, “Why are you doing coding agents and custom agents in the same thing?” But I said it's, it's the same problems and, you just wanna build the stuff that lets you deliver the agent, maybe control it if you care about security, and, make it portable across things. And then we prototyped some things as experiments. We saw, yeah, we can make it work, and then we built that for real.Swyx [00:04:06]: I'm wondering if this let's call it architectureMatei Zaharia [00:04:11]: YeahSwyx [00:04:11]: maps to anything in your careers in the past. like I always think about how a lot of things just tie back to operating systems.Swyx [00:04:18]: A lot of operatingMatei Zaharia [00:04:19]: YeahSwyx [00:04:20]: systems tie back to databases,Matei Zaharia [00:04:21]: SoSwyx [00:04:21]: or the other way aroundMatei Zaharia [00:04:22]: so the thing, I do think it ties a lot to, like, network protocols, internet protocol. we alsoSwyx [00:04:29]: Communication between entities.Matei Zaharia [00:04:30]: Yeah. We did stuff with, like, data sharing also, which is probably, most viewers probably won't know unless they'Swyx [00:04:36]: Yeah, open protocol is the term.Matei Zaharia [00:04:37]: Yeah.Swyx [00:04:38]: Open sharing. Open sharing.Matei Zaharia [00:04:38]: Open sharing.Swyx [00:04:39]: Yes.Matei Zaharia [00:04:39]: Yeah. So it's like you have a company, you maintain some table, like let's say like a Walmart or something. They have like the, inventory and what's been sold in each store. And then you also have suppliers, and they would love to produce more things and ship them, like, exactly the moment you need them. So they would love, like, real-time access to your table. So instead of like sending emails around or Excel sheets or phone calls, why can't you share like a view of that table in real time with them? Then they query, they, join it with their data, and they decide what to send. So it's one of these things where you, like you might ask like today since we can vibe code anything so fast, why do we even need to design like protocols or APIs or software? Why can't you just vibe code things on demand? But for this type of interoperability where multiple parties that are moving at different speeds are building stuff and you still want some layer on top to coordinate, you do wanna design it and build it. So it reminds me of that, like agents talking to each other and, users talking to agents and tools.Agent Clouds, Cloud Sandboxes, and Keeping Sessions AliveSwyx [00:05:42]: Reynold, any other comments alternative viewpoints?Reynold Xin [00:05:46]: I think, by the way, we had a debate on exactly which set of benefits would, matter a lot, and I think around the time we decided to do this thing I was telling Matei, “Hey,” it just happened to be there's a particular week that I was coding nonstopSwyx [00:06:00]: from the moment I woke up to, like, the moment I went to bed, I was, like, looking at my Claude sessions, my Codex sessions. And one of the things that was particularly annoying was having to keep my laptop open.Swyx [00:06:12]: I was driving to a doctor's appointment, and I remember because I wanted to make sure the whole thing continues working.Matei Zaharia [00:06:18]: But by the way, it's so comforting to hear you say that because I'm like, “I don't know if I'm a clown and I'm doing this or like.”Swyx [00:06:25]: Yeah. Like honestly, I was driving and I was tethering my laptop to my phone.Matei Zaharia [00:06:29]: huh.Swyx [00:06:29]: Keeping it on the side. Whenever I hit a red light, I started looking at what's going on my laptop.Matei Zaharia [00:06:35]: Yeah.Swyx [00:06:35]: And I just felt that was ridiculous.Matei Zaharia [00:06:37]: Yeah.Swyx [00:06:37]: It felt like we went back to the dark agesMatei Zaharia [00:06:39]: YeahSwyx [00:06:40]: programming. the productivity you gain from all this coding age is amazing, but, yeah.Matei Zaharia [00:06:45]: Have you heard of cloud?Swyx [00:06:47]: Yeah.Swyx [00:06:48]: It was crazy to me.Matei Zaharia [00:06:49]: Oh, the thing you were working on was the sandboxes or was this before that?Swyx [00:06:52]: It was a sandbox.Matei Zaharia [00:06:53]: Okay.Swyx [00:06:54]: I was workMatei Zaharia [00:06:54]: So you were inSwyx [00:06:55]: So I was approaching from a very different angle. I wanted to, “Hey, we're gonna have cloud sandboxes that doesn't shut down. You can get one very quickly,” but not just for running agentic sessions.Matei Zaharia [00:07:06]: Yeah.Swyx [00:07:06]: It's also for running development. So I was personally building that week, and through building that, I ran into all these issues, and then I wroteMatei Zaharia [00:07:15]: YeahSwyx [00:07:15]: a document for Matei, it's like, “Here's my wish list of what the actual environment should do.” And I think he ended up almost implementingMatei Zaharia [00:07:22]: YeahSwyx [00:07:22]: every single one of them.Matei Zaharia [00:07:23]: Yeah, I remember Reynolds saying, ‘cause my first prototype of this had just chats with your agent and he said, “I have to be able to open a shell, like my own shell and like list files and like tail them and stuff.” SoSwyx [00:07:36]: So SSH into a mainframe.Matei Zaharia [00:07:37]: Yeah. it has that now.Swyx [00:07:39]: Tailing my log.Matei Zaharia [00:07:40]: Yeah.Matei Zaharia [00:07:41]: Yeah.Swyx [00:07:41]: And also another thing I think I asked was, I had. I still use cursor for the sole purpose of rendering markdown files.Matei Zaharia [00:07:48]: huh. Yes.Swyx [00:07:49]: So I said, “If you just give me a way to see my markdown files and renderMatei Zaharia [00:07:53]: YeahSwyx [00:07:53]: them properly, I don't need a separate tool anymore.”Matei Zaharia [00:07:55]: Yeah.Swyx [00:07:56]: And I think you also built that in.Matei Zaharia [00:07:57]: Yeah, we, yeah, we did that, yeah. Yeah, we had a lot of engineers building, their own vibe coding setup. But then the other thing they all said is like, “Hey, I built something that's amazing for me, but, like, no one else on the team can use it ‘cause I don't have a server to collaborate.” And this is why we tried to set up, Omnigent, so you can have a server and have the security, set up in there. So, like log in with Google or whatever and, like securely share stuff. which. And that's where we've seen a lot of other agents like hit things. Like people think they prototyped an awesome agent, but it's not allowed to connect to like some really important data or whatever because of the security team.Omnigent Architecture, Open Source, and Common APIsSwyx [00:08:38]: Yeah.Matei Zaharia [00:08:38]: So yeah.Swyx [00:08:39]: Yeah. At this point, so for those watching along on YouTube, we're gonna putting up a image of the structure here, and we can talk a little bit of the architecture. I think I just want to have people understand, ‘cause like when we're talking about software, it can be very abstract and like here is what we're talking about. You've worked out in open source this entire platform and there's a runner component and server component with a uniform API that you've, you've figured out. any other element and obviously you can plug in all this, persistence layers and compute layers. This is a whole cloud. It's an agent cloud.Matei Zaharia [00:09:12]: Yeah. It's, it's got these components to work with it. The, a lot of the action happens like on the machine where you deploy your agent too. So whatever you've got on there, you can run. But yeah, it's, I think it's the minimal thing you want to have hosted, like collaborative agents and to have that server. And one of the reasons we open sourced it is, anyone building agents, this gives them an app they can start with and customize, which we were seeing in Databricks too. Like someone would make a nice, agent app and then other teams would ask, “Oh, can I just use yours for my agent?”Swyx [00:09:45]: Yeah, I think we had like five or six different agentic frameworksMatei Zaharia [00:09:48]: YeahSwyx [00:09:48]: built by every different team. They do all do more or less the same thing. Yeah, you need to. people wanna take something that works in Forkit, and you might as well have something open source. Yeah, which also was another question, which is interesting for Databricks. Like what do you choose to open source? What do you choose to make it proprietary? It's in. this goes back to Spark, right?Matei Zaharia [00:10:05]: Yeah.Matei Zaharia [00:10:06]: One, so one of the reasons to open source something is if you think it's a layer that will there'll be some network effect, it'll benefit from many, people collaborating, on it. So, for example, with Spark, I don't know if when Spark came out, we also focused a lot on letting you have libraries on top. So like there used to be differentSwyx [00:10:28]: EcosystemMatei Zaharia [00:10:28]: distributed computing engines for like machine learning and graph computation. We said they should all be libraries that you can compose. And we made it super easy to add connectors to data sources too. And then we benefit because, we don't have the time to write like connectors to like, 1,000 like different databases and file formats, but we can just use the ones people make, and of course they benefit from joining, this thing. So that's like one of these as it. Another way to think about it is like imagine, we our thing wasn't open. We had some agent hosting thing, but it's not open and then there is an open one. if you're. Which one's gonna win in the long run? So like here, because there is this benefit from like people writing integrations, it'll be, it'll be that. And then there are other things that like you just can't, even deliver as open source that are things the company does. Like for example, how do you make sure you're like streaming, jobs or your Lakebase database doesn't like, lose all your data at night? Well, that requires an operational team that's gonna sit there. There's no way it has to be a service. So like we wanna make sure as a company we're really good at those infra services and then we're as open as we can in terms of like what you build on top.Swyx [00:11:42]: speaking from a benefits, I think we are already seeing pull requestsMatei Zaharia [00:11:45]: YeahSwyx [00:11:45]: of all kinds of ecosystem integration, even though it was only released on Saturday.Matei Zaharia [00:11:50]: Yeah, Saturday. Yeah. So someoneSwyx [00:11:51]: Let's see, let's see what's going on. Yeah, you can look at the merge ones. I asked Sam Nigon this morning aboutMatei Zaharia [00:11:59]: 400 merge already?Matei Zaharia [00:12:00]: Yeah. I think Recent quite, I would guess around half are not from our team. but for example, someone added support for running it on Kubernetesrnetes. people added, many cloud sandboxes, so this can launch a cloud sandbox and run your agent in there, which is great for sharing too, ‘cause it's not, like, on your laptop and someone's, like, running scary code on there. so yeah, many startups have put those in, and, we expect to see more of them. We also have more agent harnesses already. Cursor, CLI, and Antigravity also.The Modern Data Stack and the Emerging AI StackMatei Zaharia [00:12:34]: Yeah. That's all, beautiful. And I, I feel like the last time this happens, there was the rise of the modern data stack.Matei Zaharia [00:12:42]: I don't know if it's that useful. I'm, I'm curious in your postmortem.Matei Zaharia [00:12:46]: I think most peopleSwyx [00:12:47]: AgreeMatei Zaharia [00:12:47]: will agree that it is finally dead. but maybe this arises to a new modern AI stack that, like, does the same thing.Matei Zaharia [00:12:52]: I don't know.Reynold Xin [00:12:54]: I think the modern data stack was a pretty useful thing, probably even up until this day. I think what, maybe for the audience who don't understand the history, I think the modern data stack is effectively decomposed into you need a layer to ingest the data in, you need a layer to transform your data, and then all of this are run, and then you need a layer to maybe visualize your data. And all of this runs on some data warehouse, or later on, as we're doing data warehouse or lakehouse.Reynold Xin [00:13:21]: I think that concepts are all very powerful and very useful. They enable a lot of workloads. What people eventually run into is a question of unification and consolidation is, hey, do you really need to chop all this into different pieces and work with so many different vendors and platforms in order to get, like, a very simple visualization done, right? So I think, like, over time, everybody started realizing that customers are pushing us. We started, we can realize that, so we started building more and more capabilities and trying to consolidate. And at the end of the day now, customers don't have to worry about having me hook up five different systems in orderMatei Zaharia [00:13:55]: YeahReynold Xin [00:13:55]: produce a chart. But the. I think, honestly, something like this is probably happening, in how many different frameworks do you want to hook up together in order to produce, like do a very simple agent.Matei Zaharia [00:14:06]: Just to be clear, I would say the core of this is this common API on top of all the harnesses. So the API is like, you've got an agent session, and you can send in a message or, like, a file. That's what you can send in, and then you get out, these streams as it's streaming text or as it's doing tool calls. And, or the other thing you can send in is you can, like, tell it to cancel a turn. So that's the API. Now, the thing we did is we could get you that on top of, like, cloud code running in a terminal, Codex, Py, OpenAI SDK, all that stuff. We map them all to that same interface. So that is something that you'd have to maintain yourself if you built your own, like, agent orchestrator, and then whenever cloud changes its API, you gotta, tweak your thing or it's gonna lose some messages. So that's the thing that's valuable to maintain. Then on top of that, like, we built a few apps. I think we built a pretty cool UI and stuff, but that's, And we built a security and control piece, which I'm excited about. But it's that common interface, so we don't. We. That doesn't try to be a stack. And in fact, you could plug in your own UI on top of this, server. That, and that's one of the use cases we care a lot about, ‘cause we want to use this in our own products.Compute, Sandboxes, and Databricks ScaleSwyx [00:15:20]: Yeah. It should be everywhere.Matei Zaharia [00:15:22]: Yeah.Swyx [00:15:22]: I think one of those things that is really interesting to me is, like, well, first of all, I'll, I'll endeavor to do everything and not call it the modern AI stack because like it needs a different name.Matei Zaharia [00:15:32]: Yeah.Swyx [00:15:32]: But like, yes, like, so one of the first people that told me about compute, sandboxing was Nikita from Neon.Swyx [00:15:39]: Because a lot of people think about Neon as like, well, it's serverless Postgres with, like, the separation of compute and storage and, instant branching and all those things. But every database company is also a compute company.Matei Zaharia [00:15:51]: Yeah. Yeah.Swyx [00:15:52]: And so he was showing to me his whole, his sandboxing solution. I don't think he have ever launched it.Matei Zaharia [00:15:57]: So our sandbox solution, the reason we could build it so quickly was because we realized if you just take the actual Lakebase architectureSwyx [00:16:05]: YeahMatei Zaharia [00:16:05]: and remove the database from it, by the coming from NeonSwyx [00:16:08]: Exactly, rightMatei Zaharia [00:16:09]: you have this sandboxSwyx [00:16:09]: Every database company has it already, yeah.Matei Zaharia [00:16:11]: Now, there are some differences. For example, in the one to support this particular workflow, it's important to have local persistence,Swyx [00:16:19]: YeahMatei Zaharia [00:16:19]: because you want your state to persist. Your libraries, you don't have to install your library every time, right?Matei Zaharia [00:16:24]: whereas the Neon architecture, because of the separation of storage from compute, you don't need persistent local disk.Swyx [00:16:30]: Yeah.Matei Zaharia [00:16:30]: So there's some differences.Swyx [00:16:32]: Yeah.Matei Zaharia [00:16:32]: But the, at the end of the day, yeah, it's, Yeah, so this is when you run, like, a coding sandbox. Like, if I use it, yeah, we have the dev env internally at Databricks. There's, like, many, like, tens of gigabytes of data just for, like, all the source code and, like, artifacts and stuff that I built, and I want that to come back next time, so.Matei Zaharia [00:16:51]: Yeah.Matei Zaharia [00:16:51]: But yeah.Matei Zaharia [00:16:52]: Before the show, we was talking about some statistics that might be surprising at the adoption.Matei Zaharia [00:16:56]: It could be internal, it could be external, whatever comes to mind, just to impress people the scale this is happening.Swyx [00:17:02]: So we, on the analytics side, I think we launchedReynold Xin [00:17:06]: Maybe 50 or 60 million virtual machines a day across all three clouds, so we're one of the biggest compute orchestrators out there.Reynold Xin [00:17:13]: Stuff for sure for CPU compute.Swyx [00:17:14]: Yeah.Matei Zaharia [00:17:14]: Yeah.Reynold Xin [00:17:15]: the. And all of this process, I think exabytes of data, I joked about depending on which time zone you are, typically before you have breakfast, Databricks would have processed exabytes of data already on that day. and on Neon, it's pretty interesting, too. It's launching, I think, 13 million databasesSwyx [00:17:34]: YeahReynold Xin [00:17:34]: a day now.Swyx [00:17:35]: Yeah, to me that was, like, aReynold Xin [00:17:36]: And that's just likeSwyx [00:17:37]: Like, what do you mean?Matei Zaharia [00:17:38]: Yeah. And that's the point.Reynold Xin [00:17:40]: And a lot of those were thanks to agent- agents and branching experimentationSwyx [00:17:44]: YeahReynold Xin [00:17:44]: because we made it so easy and so quickly, and thanks a lot to Nikita's team, to launch databases. It's, the. So it's changing the way people use databases.Swyx [00:17:54]: Yeah. Okay, we're gonna go into more database talk in a bit, but I wanna make sure we close up anything on Omnigentt. you mentioned, you were excited about the securityOmnigent Security, Contextual Policies, and Spend ControlsSwyx [00:18:03]: control side.Matei Zaharia [00:18:04]: Yeah.Swyx [00:18:04]: a lot of companies are figuring that out right now, as well as the spend side.Matei Zaharia [00:18:08]: Yep.Swyx [00:18:09]: what have you found there?Matei Zaharia [00:18:11]: Yeah, so I spent quite a bit of time talking to internal users, developers, security team, managers, and also lots of customers, and there's a few things. Like, first of all, one thing, that immediately was. became obvious is for security, there's this tension between, like, usability and security. And, the way people do. Like, a lot of coding agents today have very basic things like you can tell me which tool patterns I'll allow or disallow or whatever. It's like yes or no. But that puts you in a very tough spot. So just as an example, like, should my agent be able to read, some confidential documents, or let's say, should it be able to install new packages from npm, which, maybe it's compromised. Yes or no? Like, maybe I wanna allow it. Should my agent be able to publish stuff to the company website? Well, if I'm using it to code on the website, yes. But should it be able to do both, so it can, like grab a confidential document and be prompt injected and leak it? Probably not. So the thing we decided we need is stateful or what we call contextual policies where you keep track of the state of that session. It's not like is it allowed to push to the marketing site or not, but, like, hey, if it did a risky thing, like it installed, a old package from npm, or it read, like, 1,000 confidential docs, then no. Then don't, don't do it. Otherwise, maybe it's okay. That's one example of, like, moving that trade-off so it's both more secure and more useful by having a more powerful engine, essentially. This requires tracking sessions. The other piece that was interesting there is, like, there are these very level events it's doing, and you want some libraries on top that parse them. Like, for example, we have a, MCP server on Google Drive internally. It's got 60 API calls. like, how do I know which of those, like, will share a document with stuff on the internet and which ones won't? It's, it's annoying. So we designed in Omnigentt the policy layer so that it's functions and you can have libraries. Like, someone can make something that maps the level events to high-level ones, and then you write a policy about the high-level things that came out. so and thatSwyx [00:20:25]: This is related to the Panther,Matei Zaharia [00:20:27]: Yeah, Panther is. will help with that. PantherSwyx [00:20:30]: YeahMatei Zaharia [00:20:30]: a similar idea on the event processing side, and it's Python-based versus a weird custom language. this is more, as in realSwyx [00:20:39]: I didn't even know we were good yeah.Matei Zaharia [00:20:41]: Those things are happening, yeah.Swyx [00:20:42]: Yeah.Matei Zaharia [00:20:42]: So yeah, but these are the cool things. I think the contextual or stateful part, and then the way it can be libraries, and that was another reason to make it open source because others will write libraries and, like, we and our customers can use them. And the final thing, because it's stateful, one of the states we track is how much you spent in that session. So I can. I've had, like, I ask an agent to debug something, and it spent $500 because it decided to read a lot of log files and burn a lot of tokens. but I can literally say, “Okay, launch a agent to do this and cap it to spending $5.” Like, ask me for permission if it needs more. And because we're counting that within that session, it'll pop up and tell me, “Okay, you spent five, $5. Do you wanna go on?”Reynold Xin [00:21:27]: So important context here. Matei spent the last five years, a lot of his time was architecting Unity Catalog at DatabricksMatei Zaharia [00:21:34]: YeahReynold Xin [00:21:34]: which is the governance layer for data.Matei Zaharia [00:21:35]: That's right, yeah.Reynold Xin [00:21:36]: And he's combining expertise at that layer together with all the AI governance he knows.Matei Zaharia [00:21:41]: Yeah.Swyx [00:21:41]: DoMatei Zaharia [00:21:41]: But I also spent a lot of time being annoyed by coding agents and getting prompts.Matei Zaharia [00:21:46]: And also as theReynold Xin [00:21:48]: All the aboveMatei Zaharia [00:21:48]: I don't want to end up on the front page as, like, I installed some weird npm package and leakedSwyx [00:21:53]: YeahMatei Zaharia [00:21:53]: all the code, so I'm especially paranoid. But also I have very little time, so I don't want to sit there approving, like, do you want to run a 20-line, bash script, yes or no? so that's why I spend a lot of time figuring out, like, how can I make it as safe as possible and not annoying?Swyx [00:22:10]: Yeah. Is safety and mmm, let's call it security a bigger concern than token maxing or token budgets? which one is, likeMatei Zaharia [00:22:19]: Oh, yeah, they're both there. I don't know. I guess it depends on the type of company you are. So I think, some companies, like, the budget is, limited and, they really care about thatSwyx [00:22:34]: you can be Uber and still be concerned?Matei Zaharia [00:22:36]: Yeah. Oh, yeah, totally. Yeah. If you haveReynold Xin [00:22:38]: for us, securityMatei Zaharia [00:22:39]: YeahReynold Xin [00:22:40]: super paramount.Matei Zaharia [00:22:40]: For us, security is absolutely critical as a, cloud provider. It's, it's the most important thing, and, token maxing, we're not so worried about it yet, but I've seen the Like, for example, I talked to some consulting companies. They have, like, 100,000 employees who are all coding for customers. If those each spend, like, an extra $1,000 a month, that's, that's not fun.Swyx [00:23:04]: YeahMatei Zaharia [00:23:04]: we have, like, only a few thousand engineers.Swyx [00:23:06]: What's the policy in Databricks? Is it just unlimited or what'Matei Zaharia [00:23:08]: It's, it's unlimited, but we do. we use our own product to, like, analyze the traces and stuff, and we have a team that'looking to optimize and to see if anyone's doing something weird. And, we had some really cool insights just from analyzing current traces, like whichSwyx [00:23:24]: YeahMatei Zaharia [00:23:25]: models are better at, say, Rust versus like TypeScript or whatever. So yeah, at least in our code base.Swyx [00:23:31]: Yeah. Amazing. Obviously, I have to ask the token question, obviously.Matei Zaharia [00:23:34]: Yeah.Swyx [00:23:34]: I think it'sReynold Xin [00:23:34]: YeahSwyx [00:23:34]: it's a key thing. But yes, security and control above that, and figuring out a sane layer there you can have some autonomy, but, not too much.Matei Zaharia [00:23:43]: Yeah. Yeah, and we wanna make it super easy. As a engineer, you should set a thing. So in Omnigentt, you can ask your agent, “Set a policy on yourself to do this.” So it can likeSwyx [00:23:52]: But if there's something I should be showingMatei Zaharia [00:23:53]: YeahSwyx [00:23:53]: I don't, I don't see it on the GitHub, but,Matei Zaharia [00:23:55]: Oh, yeahSwyx [00:23:56]: there's justMatei Zaharia [00:23:56]: Well, in the docs there's something.Swyx [00:23:57]: Yeah, this is it.Matei Zaharia [00:23:58]: You can look at it later.Swyx [00:23:59]: Okay. Yeah.Matei Zaharia [00:23:59]: Just look in the docsSwyx [00:24:00]: YeahMatei Zaharia [00:24:00]: contextual policies if you wanna see.Swyx [00:24:04]: I just like to point peopleMatei Zaharia [00:24:05]: look at the built-in policies.Swyx [00:24:06]: Yeah.Reynold Xin [00:24:06]: Yeah.Swyx [00:24:06]: If you want to, follow up on this is exactly where to look, right?Reynold Xin [00:24:10]: Yeah.Matei Zaharia [00:24:10]: Yeah. yeah, and the story of these is, like, I just wrote, like, I wrote a doc with like 10 ideas for things before as you were working on them. Well, that was, like, my wish list of things people asked, and I told the team, like, “Hey, can you do like at least five of these for the launch?” And then they just got back with all of them, so.Swyx [00:24:29]: Oh, wow.Matei Zaharia [00:24:29]: so you can come up with more, but them- some of them are just meant to be examples. really you can intercept, like, any event the agent is making, and you can then either block or force it to ask the user or, like, allow, and you can update state to keepSwyx [00:24:45]: YeahMatei Zaharia [00:24:45]: track stuff.Swyx [00:24:46]: Yeah, ‘cause ultimately you're, I think of you as, like, a systems designer.Swyx [00:24:50]: You let people plug in, right? That's the wholeMatei Zaharia [00:24:51]: YeahSwyx [00:24:52]: modus operandi of what you do.Matei Zaharia [00:24:53]: Yeah.Swyx [00:24:54]: It's likeMatei Zaharia [00:24:54]: And we care a lot about also composab- like, can someone else write a library that others use, whichSwyx [00:24:59]: YeahMatei Zaharia [00:24:59]: this is meant to.Reynold Xin [00:25:00]: There's also a batteries included philosophy hereMatei Zaharia [00:25:03]: YesReynold Xin [00:25:03]: probably very similar to how you did Spark, which is you could just start using.Swyx [00:25:06]: Yeah.Matei Zaharia [00:25:06]: Yeah, that's right. It has to be good out of the box at certain things, and then you can build your own things on top that, like, we don't wanna do. But in Spark, if you just wanna like, I don't know, like read a table or do, like, a aggregation, it should be awesome at that out of the box.Building on Omnigent: Contributions, Startups, and AnalyticsSwyx [00:25:23]: Yeah. People wanna catch up on Omnigentt, they should watch your keynote.Swyx [00:25:26]: they should go through the GitHub and the docs. If they wanted to contribute, or they want to build on this ecosystem what would you call out as the most high-leverage places get involved?Matei Zaharia [00:25:36]: Yeah, do get involved in the Discord and in GitHub. Our team is there, is monitoring, and, some of the things people ask for we just built ourselves. Some of them, we're, we're collaborating with them to build it. and also tell us, likeSwyx [00:25:49]: Yeah, they're gonna be veryMatei Zaharia [00:25:49]: how you would like to use it because I think especially for developers, like, everyone wants it to work their own way, and a really good developer tool, like you have to hear the feedback on all the ways and figure out the abstractions and how to let people customize. So we'd love to hear, like, if you think, “Hey, I, I don't want it to work this way,” tell us. We really just wanna get that compatibility layer across agents and then let you do stuff on top.Swyx [00:26:14]: Yeah. is there any, in terms of like the startup side, I'm, I'm a founder.Swyx [00:26:18]: I wantMatei Zaharia [00:26:18]: YeahSwyx [00:26:18]: I see an opportunity, I wanna get in front of you. What's your request for, like, a startup that, like, I wish someoneMatei Zaharia [00:26:23]: Oh, like you wanna integrate with us?Swyx [00:26:24]: someone was working on this.Matei Zaharia [00:26:26]: Oh, for a startup?Swyx [00:26:27]: Yeah.Swyx [00:26:28]: Like, your, you got your own startup. It's doing well.Matei Zaharia [00:26:30]: Yeah.Swyx [00:26:30]: But like, if you weren't working on your own startup, what is, like, obvious that you should You advise many startups too, obviously.Matei Zaharia [00:26:37]: I do think, just as a company with a lot of engineers, like anything that helps me make sense of how people are usingSwyx [00:26:46]: SpendMatei Zaharia [00:26:46]: coding agents and,Swyx [00:26:48]: Yeah. AnalyticsMatei Zaharia [00:26:48]: spend, but also quality or like you should write, you should add this skill, or you should write this thing, or your agents are really horrible at tasks involving this service, so I go spend time. That would be nice. yeah.Swyx [00:27:00]: Yeah. The closest I've found is, this team, GitAI.Matei Zaharia [00:27:03]: Oh, cool. Yeah.Swyx [00:27:04]: They started with, like, we will just do, code and human attribution, but they're building the analytics layer on top of that.Matei Zaharia [00:27:12]: Yeah.Swyx [00:27:12]: I do think, like, there are a bunch of, like, artificial analysis is obviously,Matei Zaharia [00:27:18]: Yeah, they have their benchmarksSwyx [00:27:18]: doing super wellMatei Zaharia [00:27:19]: YeahSwyx [00:27:19]: with their stuff. so there's, there will be people. I think this is like the domain of consultants first, but then peopleMatei Zaharia [00:27:26]: YeahSwyx [00:27:26]: will build software that, let's say, it's kinda like the management planeMatei Zaharia [00:27:29]: YeahSwyx [00:27:30]: for coding agents.Matei Zaharia [00:27:30]: Yeah, I think there'll be a lot of insights there. You have it in other areas.Swyx [00:27:34]: Okay. Well, and then the other, big thing is your dream engine.LTAP: Lake Transactional/Analytical ProcessingSwyx [00:27:39]: maybe you wanna tell the story of, LTAP.Reynold Xin [00:27:45]: So, and background with. I'm, I'm gonna make people listen to our Ankur Goyal episode where we talked about SingleStore, HTAPMatei Zaharia [00:27:52]: YeahReynold Xin [00:27:52]: and all that history.Matei Zaharia [00:27:52]: Yeah. The LTAP idea is pretty simple. so if people have heard of the, Ankur's, talk about HTAP, it's effectively the world of databases. Sorry, there's like maybe a lot of context needs to be injected here. The world of databasesSwyx [00:28:06]: I am happy to be the database podcast that I'm forcing people to, like, learn your databases, guys.Swyx [00:28:11]: You cannot vibe code with just markdown files.Reynold Xin [00:28:13]: Yeah.Swyx [00:28:13]: Like,Reynold Xin [00:28:14]: It's one of the most important fundamental systems technologies out there. But the world of database effectively split into roughly two halves. There's what we call OLTP databases, which are transactional, and think of your Postgres, your MySQL, your Oracle databases, and the other side is what we call analytics, and sometime might refer to term OLAP. And the difference is on OLTP, you typically have maybe run some transaction on some event that looks up at one specific row. We update that row, right? It's a very oriented data structure. And on analytics, you're trying to reason on the data. You're trying to compute, “Hey, what's my revenue per store? What's my. How's my website doing every day?” And then you, eventually want to probably end up running anal- machine learning on it to predict, “Hey, how will my maybe sales be going in the future?” they are so very different architecture, and everybody start with OLTP databases. Every app, when you become serious enough, that needs more than markdown files, you need to have a database. You want to lose your data, you want to have some transactional consistency. But once you want to reason on the data, if you only have like- A hundred rows, it's probably okay to run it on your Postgres or your own, your MySQL database. But once you have more data and want to run more complicated analysis, the very analysis might crush your Postgres database. So you start doing, getting data out of the OLTP databaseSwyx [00:29:35]: Replication.Reynold Xin [00:29:36]: Replicate them into the analytic systems and just startSwyx [00:29:39]: Yeah, which for people, Elasticsearch is, like, aReynold Xin [00:29:42]: Yeah. So some of them get into Elasticsearch for, like, blocked analysis. A lot of our customers obviously get into Databricks to run more sophisticated things.Swyx [00:29:51]: Yeah.Reynold Xin [00:29:51]: And there's this term called CDC, whichMatei Zaharia [00:29:54]: Change data captureReynold Xin [00:29:55]: change data capture. and what it does, it reads the binlog of the database, and if you don't understand what binlog is, it's fine. The, but it's a little delta of the data, and it reconstructs based on the delta, the state of the database, on the analytics side. But CDC is, like, a very painful thing. It's how standard in the industry, everybody uses it, but, it ends up being. I think many data engineers ends up being waken up at, like, 3:00 a.m, because there's some pipeline thing.Swyx [00:30:22]: my explanation is, like, Airbyte is like a, became a $5 billion company just doing CDC.Reynold Xin [00:30:27]: Yeah, exactly.Reynold Xin [00:30:28]: CDC is, like, a veryMatei Zaharia [00:30:30]: It's hard.Reynold Xin [00:30:30]: It's one of the most boring but one of the most fundamental operations, like, powering modern society.Matei Zaharia [00:30:37]: huh.Reynold Xin [00:30:37]: But it's so brittle that, we joke that it's, should be called continuous data corruption, because you might change your schema on your OLTP database, and then the CDC pipeline fails to handleSwyx [00:30:48]: YeahReynold Xin [00:30:48]: the schema change.Swyx [00:30:49]: Yeah.Reynold Xin [00:30:49]: And then everything goes out.Swyx [00:30:51]: And there's all sorts of tricks that you can do, like, you add in, like, some versioning or whatever, but yeah.Reynold Xin [00:30:55]: Yeah, but it's a very, in general, very complicated. Like, I think at my keynote, I asked the audience put up their hand if they love their CDC pipeline. Only, like, maybe two people put it up. So if single store, like, about maybe a decade ago, I think the industry had this idea, hey, what if I built a single database that can handle both workloads? Now I don't.Swyx [00:31:12]: Which, like, by the way, every database person ever has ever always dreamed about this.Reynold Xin [00:31:15]: Yes. Yes.Reynold Xin [00:31:16]: This is the holy grail of database engineering is why not build a single system that can do both of this? But it ends up just being a lot of compromises. one, I think one of the first issue is that, hey, each. they say Postgres has a massive ecosystem, right? You want to be using the tools that's built for Postgres. And Spark, for example, had a massive ecosystem. There's a lot of libraries you want to use. If you were to create now a new thing, you don't have a ecosystem. You tend to create a new, smaller proprietary API, and you're lacking both, and it's also very difficult to make it performance-wise to be, comparable on either side. So it ends up being sucking on both. And our whole idea of LTAP, it's obviously a wordplay on the term HTAP, is that we think this is HTAP done right. HTAP wants to build a single engine for both. We think you can get 99% of what you need by unifying the storage, and just have a single storage layer. And once you have the single storage layer, if your Postgres databases are writing data in a column-oriented format, everything analytics can just go read that data directly without any delay, right? There's no pipeline in between, so all the data will immediately be available for reasoning analytics. I think I was telling some customers earlier, hey, when we talked about this is gonna be super useful for agents, I at first didn't really believe in it myself, even though we wrote that positioning.Lakebase, Agents, and Live Operational DataMatei Zaharia [00:32:39]: Yeah.Reynold Xin [00:32:40]: But then last night I was having dinner with a Australian customer, and they told me, “Oh, hey, one of the big issue we have is we have all these logs from our services, and we see SLA dips and want to investigate. But then there's no way for those agents to even understand what's going on in the actual databases themselves. All we see is just, like, product telemetry of the database and the services.” It would make those agents 10 times more powerful if understand, for example, who's placing those orders, what is happening, what exactly are they doing. So now I'm sold on our own message.Swyx [00:33:13]: Yeah.Reynold Xin [00:33:14]: I think it's really. It gets you the almost all of the benefits of the HTAP holy grail, which is, hey, make the data available immediately for reasoning analyticsSwyx [00:33:26]: Yeah, I think,Reynold Xin [00:33:27]: without compromiseSwyx [00:33:28]: in the way that humans are generally intelligent and want to have the ability and access to query anythingReynold Xin [00:33:34]: YeahSwyx [00:33:35]: while they do the work, they also need history and need context.Swyx [00:33:38]: And, like, where else does they get context? That's it's an analytical workload.Reynold Xin [00:33:41]: Exactly.Matei Zaharia [00:33:42]: Yeah. Yeah. And I remember when we had incidents with our databases and engineers said, “Well, I can't just run a giant query on it to see what's going on because that's gonna bring down the database and hoard it even more.” Like, that's the stuff that this gets rid of, because you spin up a whole separate fleet of machines that's doing the analytics. You're not overloading, like, the main databaseReynold Xin [00:34:02]: RightMatei Zaharia [00:34:02]: that's still trying to serve stuff.Reynold Xin [00:34:04]: Yeah.Matei Zaharia [00:34:04]: Yeah.Why LTAP Works Now: Parquet, Postgres, and LakebaseSwyx [00:34:05]: So this has been a dream for a while. what had to get done in order to get to today? Like,Reynold Xin [00:34:11]: Yeah.Swyx [00:34:11]: I feel like, you have announced variants of this several times, but it wasn't as clear as LTAP.Reynold Xin [00:34:18]: Yeah.Swyx [00:34:18]: I think LTAP is like Like, okay, we've got it, guys.Matei Zaharia [00:34:21]: This thing, yeah.Reynold Xin [00:34:21]: I was talking to somebody at Meta, and then he was asking me, “Hey, what's the catch? Why is it possible now?” And I think the reality is we took a lot of time to work on the Lakebase architecture. obviously a lot of it came from the Neon team, which is a separation of storage from compute. And it turned out it was just a tiny little step away going from that to this LTAP idea, which is, hey, we just. in the Neon architecture and in Lakebase architecture, we're writing data in oriented format to the open data lake, but in there we're writing in Postgres pages. Ali and I were spending a lot of time debating, hey, can we just change that to write in column-oriented format? And we're just debating, and one day, one of our engineers who's, like, super smart came in, he's like, “Hey, I just prototyped it. It works.”Swyx [00:35:07]: Wait, it's, prototype what?Reynold Xin [00:35:09]: Prototype, instead of storing the data in the data lake in the oriented formatSwyx [00:35:15]: ColumnReynold Xin [00:35:15]: like Postgres pagesSwyx [00:35:15]: YeahReynold Xin [00:35:16]: write them in Parquet.Swyx [00:35:17]: Yeah.Reynold Xin [00:35:18]: and he just made the observation that, hey, our storage fleet has a lot of extra idle CPUs And we could use those CPUs to do the transcoding from row to column, where row is good for OLTP, but column is good for analytics. so let's do that transcoding at that time. And as a matter of fact, once you transcode the data compresses better. So from those services writing to, for example, S3 or other data lake, like object stores, you can write them faster ‘cause now they are now smaller.Matei Zaharia [00:35:49]: Yeah.Reynold Xin [00:35:49]: So there's no overhead, it's no compromise in performanceMatei Zaharia [00:35:52]: Some CPU overhead.Swyx [00:35:54]: Yeah, because,Matei Zaharia [00:35:55]: YeahSwyx [00:35:55]: we had extra CPUs anyway.Matei Zaharia [00:35:56]: We had that fleet anyway, yeah.Swyx [00:35:57]: so the debate ended. it's one of the classics of, tech, issue of a lot of debate, but then somebody went ahead and just tried to prototype it and it worked.Matei Zaharia [00:36:06]: But, like, something this strategicSwyx [00:36:07]: That's rightMatei Zaharia [00:36:07]: and important to the company, I expect there to be, like, a kickoff thing, like a design doc. Nothing like that.Swyx [00:36:13]: Nothing like that.Swyx [00:36:14]: He just. We were debating in many meetingsMatei Zaharia [00:36:17]: Yeah.Swyx [00:36:17]: and then we're just debating whether it's possible or not from first principle.Matei Zaharia [00:36:20]: YeahSwyx [00:36:20]: and then, somebody just did it.Matei Zaharia [00:36:23]: Yeah, if you set yourself up so people do that'll be great. And that happened a bit with Omnigentt too. I think if I just had a doc on, like, we can make these together, everyone would, would think, “Oh, what about this? What about this?” But then you. if you try it out, it helps. And then if you have real users and they bash it and, like, it's still working, or in this case, if you have the workload, what the workload looks like, you can just test the same pattern then.Databricks' Culture of Fast PrototypingSwyx [00:36:47]: Yeah.Matei Zaharia [00:36:47]: Yeah.Swyx [00:36:47]: Tech aside, which is very cool, this is, like, the most important thing, the culture of innovation, and you don't have to ask my permission, you don't have like, do a whole form- formal process, just do it?Matei Zaharia [00:36:59]: Well, especially these days, I think withSwyx [00:37:01]: YeahMatei Zaharia [00:37:01]: AI, it's easier to buildSwyx [00:37:02]: But so, likeMatei Zaharia [00:37:03]: a prototypeSwyx [00:37:03]: I think you are very I made a lot of suite of, like, large companies and, like, I think that at scale, things slow down, and I'm sure you felt it already, but somehow you have this core of people that, like, are exempt. How? I think we hire and we work with really good people, and that's a very important part of it, and empowering them, but also spending a lot of time, maybe us in the trenches matter a lot also.Matei Zaharia [00:37:28]: Yeah, I think, I think first, people can adapt to being in the larger company, so that helps. And we wanna make sure they know that they can try stuff and settle debates and have a lot of examples of how it was done before, or launch a thing in beta or whatever. and then the other thing I do think as a company, like despite the size, we don't launch that many, like, products. We try to keep it pretty coherent. That's, that was the whole, like, theory of the company, was like instead of having, like, 20 Amazon services you need to set up, like a analytics and machine learning stack, you just have one, and it's, like, the same API, the same semantics across all of them, the same copy of the data. So that requires, like, unification. And then we added one more thing at a time. Like, we added storage with Delta Lake. We didn't used to do any storage. Then we added SQL, we added, machine learning platform stuff. So, but yeah, don't, don't do too many, but do those things well and, that also helps, it helps keep it manageable.Reynold Xin [00:38:33]: Yeah. The other thing we encourage a lot is instead of building, boil the ocean for everything, let's figure out how do we do it incrementally, how do we do it very quickly. Like, many of our productsMatei Zaharia [00:38:43]: YeahReynold Xin [00:38:43]: they're built in the span of weeks, and then we go to, hey. Like, usually my first question to whoever team is building is who's the target customer? Who are you working with? Are you on a first-name basis with them? Are you texting with them? I think having that very tight loop,Matei Zaharia [00:38:59]: Can you bring up another launch that comes to mind when, in this thing? I just want to give examples.Reynold Xin [00:39:04]: Omnigentt itself happened that way.Reynold Xin [00:39:05]: Yeah.Matei Zaharia [00:39:06]: Who's the customer? That's a good oneReynold Xin [00:39:34]: storage layer we did. we had, our largest customer at the time said like, “Okay, I need some. I want something in the cloud ‘cause, I. if the rest of our network is compromised, like this thing needs to be separate to store and query the events.” And then, talked to us, he said, “Okay, this is the rate of events per second. This is, like, the freshness I want. Can you do it?” So that was, like, way larger than any workload we had, and we had our, engineer, working on that, Michael Armbrust, and he worked just to make this work. And once it worked for them, it worked for everyone else. Yeah. This was early in the company, probably like four years in or something.Matei Zaharia [00:40:24]: 20- 2018?Swyx [00:40:26]: Yeah, ‘17, ‘18.Matei Zaharia [00:40:28]: Few companiesSwyx [00:40:28]: Do you have other examples?Matei Zaharia [00:40:30]: there'Swyx [00:40:31]: Maybe you have othersMatei Zaharia [00:40:31]: yeah, Clean Room, which is how you share data in a way without sharingSwyx [00:40:35]: YeahMatei Zaharia [00:40:35]: underlying data, but you allow specific operations. Those were done effectively initially just for two customers. I think the industry has a sense of, hey, maybe if you overfit to, like, one or two customers, it's gonna be really bad for you. But I think the, downside of overfitting is much smaller than the upside itself. And if you try to be too ambitious and boil the ocean, it's a much bigger problem.Swyx [00:40:58]: Yeah. Yeah.Matei Zaharia [00:40:58]: ‘Cause you might end up having no customer.Swyx [00:41:00]: Yeah, that's more, that's the more likely outcome.Matei Zaharia [00:41:02]: Yeah.Tech Companies vs. EnterprisesSwyx [00:41:03]: than you can pivot from there. I do think there is such a thing as a bad customer that sometimes you should fire. Yeah.Matei Zaharia [00:41:08]: They could exist sometimes if you drive. well, one of the challenge I think we probably see, and maybe many AI, so newer generation companies are seeing is, so tech companies are very different from tech companies or traditional enterprises.Swyx [00:41:22]: Yeah.Matei Zaharia [00:41:22]: And, if you optimize everything just for tech companies, you might have various challengesSwyx [00:41:27]: OhMatei Zaharia [00:41:27]: scaling them outside of tech companies.Swyx [00:41:28]: Okay, what likeMatei Zaharia [00:41:30]: YeahSwyx [00:41:30]: what like top three differences that you always think about?Reynold Xin [00:41:33]: Governance is a big oneMatei Zaharia [00:41:34]: I think, yeah, a big one is like, yeah, security, data privacy, governance, all that stuff. So usually if you're building some kinda like B2B or developer tool, like your biggest market is gonna be enterprises, but it's just very different. A company that's existed for like, it's had some form of IT for like 30 years, they have so many legacy systems or they operate in a regulated space. whereas a startup or, even like a, like sorta more recent tech company, all the. everything is new and pristine. So yeah, it's just different, and if you've never worked with enterprises or been in one, you just won't know about it.Reynold Xin [00:42:13]: Yeah.Matei Zaharia [00:42:13]: Yeah.Reynold Xin [00:42:13]: And the procurement process is probably quite different. There's far more stakeholders.Matei Zaharia [00:42:17]: Yeah, that is one. Yeah.Matei Zaharia [00:42:18]: Another piece that's interesting is I think some tech companies, people, will say, “Oh, I can build that myself,” right? I'll just build that myself.Matei Zaharia [00:42:27]: So then you go,Reynold Xin [00:42:28]: I don't think people say that about Databricks, butMatei Zaharia [00:42:31]: yeah, it dependsReynold Xin [00:42:32]: They do.Matei Zaharia [00:42:32]: They do?Matei Zaharia [00:42:32]: Yeah, the. Yeah, and it depends on the teams and things. So, but, on the other hand, like many of the enterprises say, “I don't, I never wanna be in the business of building that.” Like, I don't want my, whatever, I'm a retailer or something, I never wannaReynold Xin [00:42:45]: Yeah, sell clothes,Matei Zaharia [00:42:46]: be down because like some weird like nerd like couldn't get streaming pipelines working.Matei Zaharia [00:42:51]: That is not what I'm doing.Reynold Xin [00:42:53]: Yeah.Reynold Xin [00:42:53]: Yeah. This makes them great customers, to be honest, right?Matei Zaharia [00:42:55]: Yeah. But you have to understand that it's hard without having worked there and stuff, like you may not appreciate.Reynold Xin [00:43:01]: Look, I think they're all great. don't get me wrong, they have different challenges. But the, many of the tech companies, for sure there's a lot, far more DIY.Matei Zaharia [00:43:10]: On the flip side, you have people who are. they're very much experts in their domain, like they're building airplanes, they're, designing medicines, whatever, and they just want to bridge the technology, where like they don't wanna learn, databases or whatever. As cool as we think it is, even as interesting as the average software engineer might think it is to read a little bit, like they just never wanna know. They just say, “I have a, giant like, matrix or whatever with my, clinical data, like how do I, how do I like cluster it or whatever?” So yeah.The Dream Engine and Rewriting the Database StackReynold Xin [00:43:40]: Yeah. That's true. Okay, so and then I wanted to build out the dream engine, vision. where does this all lead? So one of the thing we, realized maybe a couple years back is that every single database engine out there, especially on the analytics side, are a decade old. pretty much everything that have reasonable traction are about a decade old. And they all started targeting some very specific narrow use cases, and then over time it's become more and more successful. They have grown in their ambition, and then they try to support more and more use cases. But the fastest way to support those use cases tend to be hacked around the abstractions that were initially created, that were not for those use cases.Matei Zaharia [00:44:23]: Yeah.Reynold Xin [00:44:23]: And then, but you can support them more or less okay. And before it, after 10 years of organic evolution that way, it becomes a gigantic pile of s**t.Reynold Xin [00:44:31]: the. And, but that includes Databricks. And very few company or very few systems, I think, have the gut to say, let's go start from scratch. Let's go back to the drawing board and design, knowing everything we know today after a decade of workloads and probably billions in revenue, let's attempt to rewrite it from scratch and make sure it will work and it can support all of these use cases. So we started doing that, but it's a very ambitious project. by the way, you can search on Wikipedia, there's this thing called second system syndrome.Matei Zaharia [00:45:08]: Yeah, I know that. Yes.Reynold Xin [00:45:09]: Or second system effect.Matei Zaharia [00:45:11]: Every developer must know what a second syndrome is.Reynold Xin [00:45:12]: It's you built your first thing and it works out great, and the second one's bound to fail because you become too ambitious.Reynold Xin [00:45:19]: And then you ask so many requirements.Matei Zaharia [00:45:20]: Or like you think everythingReynold Xin [00:45:21]: YeahMatei Zaharia [00:45:21]: and then you're likeReynold Xin [00:45:22]: You justMatei Zaharia [00:45:22]: you're, “I'm gonna design the perfect system this time.”Reynold Xin [00:45:24]: Yeah. And it turned out it's not perfect, and then it start failing and you're too ambitious, never launch, and you get killed. The, and the engineering team that started this, they were brilliant. I think we hired some of the best database engineers, on the planet into Databricks, and they were brilliant. Thank God it's not their second system. Many of them have built more than two in the past.Matei Zaharia [00:45:44]: Ah, nice.Reynold Xin [00:45:45]: But they were still worried about this, hey, building a database engine from scratch, I think the conventional wisdom is gonna take like five years to mature. This would be a very long-term project. It could fail. I think one of the engineers jokingly said, “Hey, maybe we just call it Reynolds Stream Engine.” If we name after a founder, maybe we then may get canceled or killed. But I think they built something pretty remarkable. they went back to. They changed the way the database engines were built from a paradigm point of view. Usually when y

As colorectal cancer rates rise among younger adults, surgeons are increasingly caring for patients with rectal cancer who are pregnant or hoping to preserve future fertility. With more individuals delaying childbearing, balancing effective cancer treatment with fertility preservation and maternal–fetal safety has become an important clinical challenge. This timely topic was recently highlighted by Dr. Sharon Suwanabol during a presentation at the American Society of Colon and Rectal Surgeons annual meeting 2026. In this episode, we explore the intersection of rectal cancer, fertility, and pregnancy through a multidisciplinary, case-based discussion. We review how surgery, chemotherapy, and pelvic radiation can affect fertility and sexual function in both men and women, and why early counseling and referral to reproductive endocrinology specialists are essential. The discussion also emphasizes that evaluation and treatment during pregnancy can often be performed safely, with care individualized based on tumor stage, gestational age, and the patient's goals and values. Hosts and discussants ·      Dr. Betelhem Yohannes, General surgery resident at the University of Washington ·      Dr. Griffen Allen, General surgery resident at the University of Washington  ·      Dr. Raga Siddharthan, Assistant Professor of Surgery in the Section of Colorectal Surgery at the University of Washington  ·      Dr. Stacey Cohen, Professor in the Division of Hematology and Oncology at the University of Washington and a gastrointestinal medical oncologist at Fred Hutch Cancer Center, specializing in colorectal and other GI cancers. Learning objectives ·      Describe the impact of rectal cancer surgery on fertility, sexual function, and future childbearing potential. ·      Review the effects of chemotherapy and pelvic radiation on reproductive health and fertility preservation. ·      Discuss available fertility preservation strategies and the importance of early pre-treatment counseling and referral. ·      Recognize the diagnostic challenges of rectal cancer during pregnancy, including overlapping gastrointestinal symptoms. ·      Review appropriate staging and workup considerations for suspected rectal cancer in pregnant patients. ·      Discuss multidisciplinary management strategies for rectal cancer during pregnancy, including individualized treatment sequencing. ·      Examine ethical and patient-centered considerations when balancing maternal cancer treatment and fetal outcomes. References  Siegel RL, Wagle NS, Star J, Kratzer TB, Smith RA, Jemal A. Colorectal cancer statistics, 2026. CA Cancer J Clin. 2026;76(2):e70067. doi:10.3322/caac.70067 [https://pubmed.ncbi.nlm.nih.gov/38240409/] Pregnancy at Age 35 Years or Older: ACOG Obstetric Care Consensus No. 11. Obstet Gynecol. 2022;140(2):348-366. doi:10.1097/AOG.0000000000004873 [https://pubmed.ncbi.nlm.nih.gov/35640237/] Stal J, YI SY, Cohen-Cutler S, et al. Fertility Preservation Discussions Between Young Adult Rectal Cancer Survivors and Their Providers: Sex-Specific Prevalence and Correlates. Oncologist. 2022;27(7):579-586. doi:10.1093/oncolo/oyac052 [https://pubmed.ncbi.nlm.nih.gov/35708892/] Druvefors E, Myrelid P, Andersson RE, Landerholm K. Female and Male Fertility after Colectomy and Reconstructive Surgery in Inflammatory Bowel Disease: A National Cohort Study from Sweden. J Crohns Colitis. 2023;17(10):1631-1638. doi:10.1093/ecco-jcc/jjad079 [https://pubmed.ncbi.nlm.nih.gov/37341355/] Ito M, Tsukada Y, Watanabe J, et al. Long-term survival and functional outcomes of laparoscopic surgery for clinical stage I ultra-low rectal cancers located within 5 cm of the anal verge: A prospective phase II trial (Ultimate trial). Ann Surg. Published online April 1, 2024. doi:10.1097/SLA.0000000000006290 [https://pubmed.ncbi.nlm.nih.gov/38629555/] Teh WT, Stern C, Chander S, Hickey M. The impact of uterine radiation on subsequent fertility and pregnancy outcomes. Biomed Res Int. 2014;2014:482968.  Johnson GGRJ, Park J, Helewa RM, Goldenberg BA, Nashed M, Hyun E. Total neoadjuvant therapy for rectal cancer: a guide for surgeons. Can J Surg. 2023 Apr 21;66(2):E196-E201. doi: 10.1503/cjs.005822. PMID: 37085291; PMCID: PMC10125160. [https://pubmed.ncbi.nlm.nih.gov/37085291/] Naren G, Guo J, Bai Q, Fan N, Nashun B. Reproductive and developmental toxicities of 5-fluorouracil in model organisms and humans. Expert Rev Mol Med. 2022 Jan 31;24:e9. doi: 10.1017/erm.2022.3. PMID: 35098910; PMCID: PMC9884763. [https://pubmed.ncbi.nlm.nih.gov/35098910/] National Comprehensive Cancer Network. (2026). NCCN Clinical Practice Guidelines in Oncology: Rectal Cancer (Version 2.2026). Retrieved from NCCN Guidelines for Rectal Cancer [https://www.nccn.org/guidelines/guidelines-detail?category=1&id=1449] Oktay, Kutluk M.D., Ph.D.. Expert Commentary on Fertility Preservation in Colorectal Cancers: Current State and Practical Tips for the Cancer Practitioner. Diseases of the Colon & Rectum 63(6):p 726-727, June 2020. | DOI: 10.1097/DCR.0000000000001688 [https://pubmed.ncbi.nlm.nih.gov/32479532/] Stal J, YI SY, Cohen-Cutler S, et al. Fertility Preservation Discussions Between Young Adult Rectal Cancer Survivors and Their Providers: Sex-Specific Prevalence and Correlates. Oncologist. 2022;27(7):579-586. doi:10.1093/oncolo/oyac052 [https://pubmed.ncbi.nlm.nih.gov/35708892/] Gentile G, Ciccarone M. Management of fertility preservation in young female patients with gastrointestinal cancer: A case series and systematic literature review. Curr Probl Cancer. 2025;57:101221. doi:10.1016/j.currproblcancer.2025.101221 [https://pubmed.ncbi.nlm.nih.gov/39598263/] Saif MW. Management of colorectal cancer in pregnancy: a multimodality approach. Clin Colorectal Cancer. 2005;5(4):247-256. doi:10.3816/ccc.2005.n.035 [https://pubmed.ncbi.nlm.nih.gov/16183863/] Rogers JE, Dasari A, Eng C. The Treatment of Colorectal Cancer During Pregnancy: Cytotoxic Chemotherapy and Targeted Therapy Challenges. Oncologist. 2016 May;21(5):563-70. doi: 10.1634/theoncologist.2015-0362. Epub 2016 Mar 21. PMID: 27000464; PMCID: PMC4861360. [https://pubmed.ncbi.nlm.nih.gov/27000464/] Jiang Q, Hua H. Fertility in young-onset colorectal patients with cancer: a review. Oncologist. 2024;29(10):e1237-e1245. doi:10.1093/oncolo/oyae141 [https://pubmed.ncbi.nlm.nih.gov/39292850/] Dolmans MM, Hollanders de Ouderaen S, Demylle D, Pirard C. Utilization rates and results of long-term embryo cryopreservation before gonadotoxic treatment. J Assist Reprod Genet. 2015;32(8):1233-1237. doi:10.1007/s10815-015-0533-z [https://pubmed.ncbi.nlm.nih.gov/26162569/ Moawad NS, Santamaria E, Rhoton-Vlasak A, Lightsey JL. Laparoscopic Ovarian Transposition Before Pelvic Cancer Treatment: Ovarian Function and Fertility Preservation. J Minim Invasive Gynecol. 2017;24(1):28-35. doi:10.1016/j.jmig.2016.08.831 [https://pubmed.ncbi.nlm.nih.gov/27599763/] Fish R. Ovarian transposition in rectal cancer: uncertain benefit at a high price. Colorectal Dis. 2022;24(6):706-707. doi:10.1111/codi.16086 [https://pubmed.ncbi.nlm.nih.gov/35191146/] Ribeiro R, Baiocchi G, Moretti-Marques R, Linhares JC, Costa CN, Pareja R. Uterine transposition for fertility and ovarian function preservation after radiotherapy. Int J Gynecol Cancer. 2023;33(12):1837-1842. Published 2023 Dec 4. doi:10.1136/ijgc-2023-004723 [https://pubmed.ncbi.nlm.nih.gov/38104863/] Haggar F, Pereira G, Preen D, et al. Maternal and neonatal outcomes in pregnancies following colorectal cancer. Surg Endosc. 2013;27(7):2327-2336. doi:10.1007/s00464-012-2774-6 [https://pubmed.ncbi.nlm.nih.gov/23645367/] Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.  If you liked this episode, check out our recent episodes here: https://behindtheknife.org/listenBehind the Knife Premium: https://behindtheknife.org/premiumOral Board Review: https://behindtheknife.org/oral-boardOral Board Simulator: https://behindtheknife.org/oral-board/simulatorGeneral Surgery Oral Board Review Course: https://behindtheknife.org/premium/general-surgery-oral-board-reviewTrauma Surgery Video Atlas: https://behindtheknife.org/premium/trauma-surgery-video-atlasDominate Surgery: A High-Yield Guide to Your Surgery Clerkship: https://behindtheknife.org/premium/dominate-surgery-a-high-yield-guide-to-your-surgery-clerkshipDominate Surgery for APPs: A High-Yield Guide to Your Surgery Rotation: https://behindtheknife.org/premium/dominate-surgery-for-apps-a-high-yield-guide-to-your-surgery-rotationVascular Surgery Oral Board Review Course: https://behindtheknife.org/premium/vascular-surgery-oral-board-reviewColorectal Surgery Oral Board Review Course: https://behindtheknife.org/premium/colorectal-surgery-oral-board-reviewSurgical Oncology Oral Board Review Course: https://behindtheknife.org/premium/surgical-oncology-oral-board-reviewCardiothoracic Oral Board Review Course: https://behindtheknife.org/premium/cardiothoracic-surgery-oral-board-reviewDownload our App:Apple App Store: https://apps.apple.com/us/app/behind-the-knife/id1672420049Android/Google Play: https://play.google.com/store/apps/details?id=com.btk.app&hl=en_US

Professional Builders Secrets brings you an exclusive episode featuring Maura Thomas, one of the world's top 10 time management experts, TEDx speaker, and author of six books, including Attention Management and Everyone Wants to Work Here. Maura brings a fascinating and practical perspective on why time management is an outdated framework, and why protecting your attention is the real key to productivity, leadership and business growth.This episode is sponsored by Apparatus Contractor Services, click the link below to learn more:hubs.ly/Q02mNSsG0INSIDE EPISODE 242 YOU WILL DISCOVER Why time management is the wrong framework and what to focus on insteadHow the attention economy is systematically stealing your focus for profitWhy a culture of urgency and speed is quietly killing creativity and innovationHow distraction is costing businesses hundreds of thousands every yearThe three foundational challenges to attention and how to take back controlHow to design your communication systems so work actually gets doneAnd much, much more.ABOUT MAURA THOMASMaura Thomas is a world-renowned attention management expert, TEDx speaker and author of six books including Attention Management and Everyone Wants to Work Here. Named one of the top 10 time management professionals in the world, Maura helps individuals and organisations reclaim their focus, reduce distraction and build cultures where meaningful work actually gets done.Connect with Maura: linkedin.com/in/mauranevelthomas-productivity-trainer/TIMELINE 4:16 Why time management is an outdated framework and attention is the real currency6:01 How an entire industry has been built to extract your attention for profit11:21 Why competing on speed is a race to the bottom and what to do instead15:45 How social media platforms are engineered to hack your brain and keep you hooked31:13 The three foundational challenges to attention and how to reclaim control40:24 Why every building company needs a communication SLA and how to create oneLINKS, RESOURCES & MOREAPB Website: associationofprofessionalbuilders.comAPB Rewards: associationofprofessionalbuilders.com/rewards/APB on Instagram: instagram.com/apbbuilders/APB on Facebook: facebook.com/associationofprofessionalbuildersAPB on YouTube: youtube.com/c/associationofprofessionalbuilders

In the latest installment of SJ's Video Weltanschauung, Dimitri and Khalid dissect the Silent Majority's cinematic counterattack on early ‘70s San Francisco Bay Area leftism: “Dirty Harry” and its four sequels. Topics include: “Dirty Harry” as the ur-text of modern American cop dramas/action movies, the Bay Area counterculture from the POV of the pig, Harry's implied neurodivergence (shades of Cobra), the new Criminal Subject who's Just That Evil and cannot be bargained with or understood, New Hollywood fashlord John Milius, the PTK'd Vietnam Vet undertones of the first three films, the SLA-inspired villains of “The Enforcer”, the triumph of political amnesia during the Reagan Years, Ronnie quoting Harry's “Go ahead, make my day!” line in a fight over welfare cuts, the sinister Spectacle-Secrecy dialectic, and much more… For access to full-length premium SJ episodes, upcoming installments of DEMON FORCES, and the Grotto of Truth Discord, subscribe at https://patreon.com/subliminaljihad.

Outcome-based managed security and attached vendor warranties are driving a new form of coverage-based vendor lock-in for MSPs and IT service providers. Vendors such as Intezer and SPECTRA are introducing performance guarantees, SLAs, and cyber resilience warranties that require MSPs to fully standardize on their architectures. This evolving model shifts accountability for enforcement and risk management from the individual MSP to the vendor's operating model, thereby altering the independent role of the MSP within client environments. A notable example is Intezer's Amplify Partner program, which asserts that its platform can process 100% of security alerts while escalating fewer than 2% for human review—claims the company frames as outcomes rather than product specifications. SPECTRA's use of certification-linked warranties, distributed via Ingram Micro, establishes channel-distributable assurance products with explicit conditions attached at every level. According to a Check Point report, while 77% of organizations report having adopted AI for cloud security, only 26% feel capable of enforcing those strategies, revealing a gap between security intent and operational ability. This structural shift is further illustrated by Merlin Cyber's FedRAMP managed service offering, Lumen's MDR enhancements targeting mid-market MSPs, and Trustlogix's addition of intent-based authorization controls. The FBI's announcement regarding Microsoft 365 OAuth token hijacking and recent vulnerabilities in widely used platforms like ConnectWise Automate underscore the real-world risks of automation platforms being targeted. These developments collectively point to growing operational complexity, rising compliance burdens, and the need for MSPs to separate their commitments from upstream vendor claims. For operators, the trend demands increased scrutiny of warranty terms, claim denial conditions, and SLA language before making any client-facing assurances. MSPs risk absorbing liability if they repeat vendor marketing claims without contractual clarity or operational control. Effective governance now requires independently produced, audit-ready evidence that documents compliance and enforcement separate from vendor portals. As assurance sales proliferate, the operational gap between acting as an underwriter versus a reseller will drive market differentiation, affecting both pricing structures and eligibility for vendor-backed coverage. 00:00 Channel-Ready Security 03:41 Policy vs. Reality 05:59 MFA Isn't Enough 09:12 Why Do We Care?    Supported by:  ScalePad Moovila   

From cracked data foundations to multi-agent AI, Starburst Data's co-founder shares hard-won lessons on getting the right data, not just more of it.Topics Include:Matthew Fuller, co-founder and VP of Product at Starburst Data, joins the show.Starburst is built on Trino, a fast SQL engine for federated data queries.Their platform lets users query data across lakes, stores, and databases seamlessly.Governed "data products" give organizations access to their full data estate in context.A strong data foundation is essential before any AI use case can succeed.AI doesn't create data problems — it exposes the cracks already there.Common mistake: assuming everyone in an org defines "customer" or "revenue" the same way.More data isn't always better — getting the right data is what matters.Customers include HSBC, Comcast, Zalando, ZoomInfo, and DBS, many running on AWS.AWS partnership spans technical support, SLA reliability, and proactive product briefings.Advice for product leaders: always anchor new technology back to the customer problem.2026 will be defined by specialized multi-agents working together autonomously.Participants:Matt Fuller – Co-Founder, Vice President of Product, Starburst DataSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

parapolitical radio, Mae Brussell, Mae's legacy as an anti-fascist researcher, the "California kills," Mae's work on the SLA, Mae's research on Charles Manson, OJ Simpson, The Order, David Freed, the group of researchers around Mae, Paul Krassner, The Realist, Mae's relationship with Krassner, what influence did Krassner have on Mae?, Krassner's own Manson investigation, Yippies, Yoko Ono, Yoko's family background, the credibility of Yoko conspiracy theories, Mae's death, was Mae Brussell murdered?, Dave Emory's career, the scariest and weirdness things to happen to Dave, Dave's time working as a short order cook, Dave's efforts to carry on Mae's researchDave's Patreon::https://www.patreon.com/DaveEmoryMusic by: Keith Allen Dennishttps://keithallendennis.bandcamp.com/ Hosted on Acast. See acast.com/privacy for more information.

In this episode, hosts Drs. Maya Hunt, Nicole Santucci, Bryanna Stukes and Zoe Zhou explore the parallels between the literacy crisis in America and current challenges in surgical education, drawing insights from the podcast "Sold a Story." They discuss how both systems advance learners without true competency, blame struggling students rather than examining flawed teaching methods, and look to the promise of competency-based education as a path forward. Beyond surgical training, they examine how declining literacy rates will directly impact how we communicate with and care for our future patients.Episode Hosts:–Dr. Maya Hunt, Indiana Universitymayahunt@iu.edu-Dr. Nicole Santucci, Washington University in St. Louissnicole@wustl.edu-Dr. Bryanna Stukes, UT Southwesternbryanna.stukes@UTSouthwestern.edu-Dr. Nanruoyi (Zoe) Zhou, Weill Cornell Medicinezhoun1@mskcc.org–CoSEF: @surgedfellows, cosef.org References:1.        Sold A Story: How teaching kids to read went so wrong | podcast. Accessed February 22, 2026. https://features.apmreports.org/sold-a-story/.2.        2024-2025 Literacy Statistics. National Literacy Institute. Accessed February 22, 2026. https://www.thenationalliteracyinstitute.com/2024-2025-literacy-statistics.3.        Purdy AC, Smith BR, Amersi F, et al. Characteristics Associated With Outstanding General Surgery Residency Graduate Performance, as Rated by Surgical Educators. JAMA Surg. 2022;157(10):918-924. doi:10.1001/jamasurg.2022.3340 https://pubmed.ncbi.nlm.nih.gov/35947371/4.        Santosa KB, Lussiez A, Bellomo TR, et al. Identifying Strategies for Struggling Surgery Residents. J Surg Res. 2022;273:147-154. doi:10.1016/j.jss.2021.12.026 https://pubmed.ncbi.nlm.nih.gov/35085942/5.        Mattar SG, Alseidi AA, Jones DB, et al. General surgery residency inadequately prepares trainees for fellowship: results of a survey of fellowship program directors. Ann Surg. 2013;258(3):440-449. doi:10.1097/SLA.0b013e3182a191ca https://pubmed.ncbi.nlm.nih.gov/24022436/6.        George BC, Bohnen JD, Williams RG, et al. Readiness of US General Surgery Residents for Independent Practice. Ann Surg. 2017;266(4):582-594. doi:10.1097/SLA.0000000000002414 https://pubmed.ncbi.nlm.nih.gov/28742711/7.        Brasel KJ, Lindeman B, Jones A, et al. Implementation of Entrustable Professional Activities in General Surgery: Results of a National Pilot Study. Ann Surg. 2023;278(4):578-586. doi:10.1097/SLA.0000000000005991 https://pubmed.ncbi.nlm.nih.gov/37436883/Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.  If you liked this episode, check out our recent episodes here: https://behindtheknife.org/listenBehind the Knife Premium: https://behindtheknife.org/premiumOral Board Review: https://behindtheknife.org/oral-boardOral Board Simulator: https://behindtheknife.org/oral-board/simulatorGeneral Surgery Oral Board Review Course: https://behindtheknife.org/premium/general-surgery-oral-board-reviewTrauma Surgery Video Atlas: https://behindtheknife.org/premium/trauma-surgery-video-atlasDominate Surgery: A High-Yield Guide to Your Surgery Clerkship: https://behindtheknife.org/premium/dominate-surgery-a-high-yield-guide-to-your-surgery-clerkshipDominate Surgery for APPs: A High-Yield Guide to Your Surgery Rotation: https://behindtheknife.org/premium/dominate-surgery-for-apps-a-high-yield-guide-to-your-surgery-rotationVascular Surgery Oral Board Review Course: https://behindtheknife.org/premium/vascular-surgery-oral-board-reviewColorectal Surgery Oral Board Review Course: https://behindtheknife.org/premium/colorectal-surgery-oral-board-reviewSurgical Oncology Oral Board Review Course: https://behindtheknife.org/premium/surgical-oncology-oral-board-reviewCardiothoracic Oral Board Review Course: https://behindtheknife.org/premium/cardiothoracic-surgery-oral-board-reviewDownload our App:Apple App Store: https://apps.apple.com/us/app/behind-the-knife/id1672420049Android/Google Play: https://play.google.com/store/apps/details?id=com.btk.app&hl=en_US

Dimitri and Khalid discuss Patty "Tania" Hearst's debut SLA action - the expropriation of Hibernia Bank in San Francisco - and how this revolutionary spectacle was perceived by personalities in the Bay Area underground press such as Mae Brussell, Paul Krassner, the Black Panther Organization, the LaRouche movement, John Birchers, and more… For access to full-length premium SJ episodes, upcoming installments of DEMON FORCES, and the Grotto of Truth Discord, subscribe at https://patreon.com/subliminaljihad.

Dimitri and Khalid zero in on the most Spectacular twist in the SLA's revolutionary career: the “conversion” of kidnapped heiress Patty Hearst into Tania, fearless urban guerrilla, class traitor, and bank robber… For access to full-length premium SJ episodes, upcoming installments of DEMON FORCES, and the Grotto of Truth Discord, subscribe at https://patreon.com/subliminaljihad.

Dimitri and Khalid break down the daredevil SLA action that would shock the Pig Power Structure to its core in February 1974: the kidnapping of bourgeois heiress Patty Hearst. For access to full-length premium SJ episodes, upcoming installments of DEMON FORCES, and the Grotto of Truth Discord, subscribe at https://patreon.com/subliminaljihad.

Photo: One of the drilling units located on site. (C.J. Keene / SDPB) A mining company has backed down from a legal dispute connected to a standoff over mining at the sacred Black Hills site Pe' Sla. Many are chalking this in the win column for opposition, though others contend work is not yet finished. C.J. Keene has more. After the explosion of popular support and a courtroom battle, the company behind the proposed exploratory mining project has dropped the effort. For Lilias Jarding, executive director of the Black Hills Clean Water Alliance, it represents what can be accomplished when several organizations focus on a single goal. “Of course, water is an issue wherever a person lives. We all need, in fact, we all have the right to clean, plentiful water. We are getting congratulations from all over the country and beyond. I'm feeling a great deal of respect for the power of alliances and coalitions.” Many other organizations rose in opposition to the proposed mining, including NDN Collective, a Rapid City indigenous advocacy nonprofit, the Oglala Lakota Nation Youth Council, nine local tribes, and many community members. Wizipan Garriott, president at NDN Collective, says it is a feeling of victory. “With the result it shows the power of community organizing, coordination, and direct action in conjunction with legal action.” Garriott says distant issues involving watersheds, treaty rights, and Indigenous affairs are a matter every American should have a vested interest in. “If you believe in the Constitution, then you are required to believe in Indian treaties, and you have an ethical, moral, and legal duty to work towards honoring Indian treaties. Every single one of us has a duty to protect clean drinking water and a human right to clean drinking water. I think from a larger, moral standpoint, an injustice to one is an injustice to all.” Garriott estimates there are still well over a dozen mining claims in the Black Hills that he and other mining opponents are monitoring. The 8(a) Business Development program helps Alaska Native Corporations support like Covenant House Alaska. (Courtesy U.S. Small Business Association / LinkedIn) Alaska lawmakers unanimously passed a resolution this week supporting the role of Alaska Native Corporations in a federal contracting program, amid growing scrutiny and concerns from Native contractors. The Alaska Desk's Alena Naiden from our flagship station KNBA reports. Alaska legislators passed a joint resolution supporting Native participation in the federal 8(a) Business Development Program. The program allows disadvantaged individuals, tribes and Alaska Native Corporations to compete for federal contracts. Haven Harris is the Senior Vice President of Growth and Strategy at Bering Straits Native Corporation and says those contracts are crucial for his organization. “We were able to give out a record dividend last year. We gave out our first special dividend ever just a month ago, and it’s all because of the benefits of federal contracting for us.” For Alaska Native Corporations, federal contracts are often their primary source of revenue and help pay dividends to shareholders and support services in their communities, but over the past year, the program has faced increased scrutiny. Native contractors say they are concerned the government is awarding fewer contracts and has not been accepting new applications into the program. Harris is also a board co-chair of the Native American Contractors Association. He says that in the past year. “8(a) contracts have been getting awarded at a lesser rate than they were previously.” Harris says no new businesses have been accepted into the program since August of last year. The Native American Contractors Association and about 50 other Native organizations signed a letter to the federal government earlier this month, asking it to resume a timely review of applications. Alaska’s congressional delegation and Gov. Mike Dunleavy (R-AK) have signaled support for the program. Harris says the legislature’s joint resolution is a helpful step. Get National Native News delivered to your inbox daily. Sign up for our daily newsletter today. Download our NV1 Android or iOs App for breaking news alerts. Check out today’s Native America Calling episode Thursday, May 14, 2026 – Native American voting rights advocates brace for diminished Native power at the polls

LISTEN TO THE WHOLE WONDERFUL EPISODE: www.patreon.com/dopeypodcast Dave and Ray kick off a weird “Christmas in May” Dopey Tuesday with an old Ray parody song before diving into stories about Chelsea in the ‘90s, addiction nostalgia, Andy Dick, and the destruction of a longtime neighborhood building. Dave talks about working on a Andy Dick interview for Rolling Stone, while Ray reflects on drinking alone, avoiding chaos in public, and their old neighborhood's transformation from rough-and-dangerous to luxury real estate heaven.   The episode spirals into hilarious listener reactions to Selby's heavy breathing during the Patreon Reddit Roundup episode, with fans comparing him to Darth Vader, a dying pug, and someone “pleasuring himself at a men's shelter.” Dave and Ray also talk about recovery shame, missing teeth, NYU dental clinics, old LA drug days, soft-core SLA emails, and the weirdness of getting older in recovery. The episode ends with Dave teasing a big TV pitch meeting and playing “Good So Bad.”   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Dimitri and Khalid pick up the SLA story in 1972, when the elements of the Symbionese Liberation Army would cohere into a revolutionary cell under the watchful eye of (ex?) CIA contractor Colston Westbrook at the Vacaville prison… For access to full-length premium SJ episodes, upcoming installments of YEAR OF THE PHOENIX and DEMON FORCES, and the Grotto of Truth Discord, subscribe at https://patreon.com/subliminaljihad.