Podcasts about SLA

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

Was ist in der KW 28 in der Datenschutzwelt passiert, was ist für Datenschutzbeauftragte interessant? - Nextcloud behebt potenzielles Datenleck https://cybernews.com/security/nextcloud-cloud-provider-data-leak/ - AG Arnsberg, Urteil vom 01.07.2026 – 42 C 434/23 https://www.troeber.de/site/assets/files/3873/urteil_ag_arnsberg_vom_01_07_2026-geschwarzt.pdf - Verantwortung gemäß DSGVO: Der Inhalt ist maßgebend, nicht die formale Bezeichnung , (österreichische Bundesverwaltungsgericht: Entscheidung vom  01. Juni 2026 (Geschäftszahl  W274 2265153-1)) https://www.ris.bka.gv.at/Dokument.wxe?ResultFunctionToken=0dd36af4-778a-4938-a4ce-651efc582713&Position=1&SkipToDocumentPage=True&Abfrage=Bvwg&Entscheidungsart=Undefined&SucheNachRechtssatz=True&SucheNachText=True&GZ=&VonDatum=01.04.2026&BisDatum=19.06.2026&Norm=&ImRisSeitVonDatum=&ImRisSeitBisDatum=&ImRisSeit=Undefined&ResultPageSize=100&Suchworte=Datenschutz&Dokumentnummer=BVWGT_20260601_W274_2265153_1_00 - Rechtsprechung zur Reichweite von Auskunftsersuchen im Arbeitsrecht (LAG Rheinland-Pfalz, Urteil vom 08.01.2026, Az. 4 SLa 196/24) https://www.ris.bka.gv.at/Dokument.wxe?ResultFunctionToken=0dd36af4-778a-4938-a4ce-651efc582713&Position=1&SkipToDocumentPage=True&Abfrage=Bvwg&Entscheidungsart=Undefined&SucheNachRechtssatz=True&SucheNachText=True&GZ=&VonDatum=01.04.2026&BisDatum=19.06.2026&Norm=&ImRisSeitVonDatum=&ImRisSeitBisDatum=&ImRisSeit=Undefined&ResultPageSize=100&Suchworte=Datenschutz&Dokumentnummer=BVWGT_20260601_W274_2265153_1_00 - Gerichtliche Überprüfung der Verarbeitung von Luftbilddaten und des Rechts auf Privatsphäre (Oberverwaltungsgericht Münster, Beschluss vom 22. Juni 2026 - 16 B 169/25) https://nrwe.justiz.nrw.de/ovgs/ovg_nrw/j2026/16_B_169_25_Beschluss_20260622.html - Schutz privater Tonaufnahmen (OLG Köln, Beschl. v. 18.05.2026 – 15 W 48/26, Volltext) https://nrwe.justiz.nrw.de/olgs/koeln/j2026/15_W_48_26_Beschluss_20260518.html - Personen - Stiftung Datenschutz  https://stiftungdatenschutz.org/ueber-uns/personen?utm_source=chatgpt.com   Veröffentlichungen & Veranstaltungen - "DSFA-Befreiungsliste Österreich" (Gültig bereits seit 25.Mai 2018) https://www.ris.bka.gv.at/Dokumente/BgblAuth/BGBLA_2018_II_108/BGBLA_2018_II_108.pdf - EDSA veröffentlicht Leitlinien zu Anonymisierung, Web-Scraping und Blockchain https://www.edpb.europa.eu/news/edpb-sheds-light-on-anonymisation-and-web-scraping-for-generative-ai-and-adopts-final-version_de - CNIL und CNPD verstärken Datenschutzmaßnahmen bei vernetzten Fahrzeugen https://www.legifrance.gouv.fr/download/pdf?id=cgoT2shUC4j_CSVUsEOCvSHZAROah7GQaBDs48fbpng=&__cf_chl_f_tk=cBM6NvSJvIkghmOPc06RQb3bLuswhFp0W6_H4I2EieY-1783606673-1.0.1.1-0mycR1TimvOFR_Wejto5sr.7IImShz.Wx71pO3czHUE - Reflektion der ethischen und rechtlichen Auswirkungen von Algorithmen auf die berufliche Laufbahn des Einzelnen https://www.edps.europa.eu/data-protection/our-work/publications/events/2026-07-09-hired-algorithm-data-protection-and-ai-regulation-modern-hr-practices_en  Weitere Infos, Blog und Newsletter finden Sie unter: https://migosens.de/newsroom/ X: https://x.com/ds_talk?lang=de Übersicht aller Themenfolgen: https://migosens.de/datenschutz-podcast-themenfolgen/ (als eigener Feed: https://migosens.de/show/tf/feed/ddt/) Instagram: https://www.instagram.com/datenschutztalk_podcast/ Folge hier kommentieren:https://migosens.de/luftbilder-ki-und-die-privatsphaere-ds-news-kw-28-2026

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

In dieser Folge von ‚Arbeitsrecht einfach erklärt‘ geht es um den besonderen, vorwirkenden Kündigungsschutz bei Elternzeit, wenn diese in mehrere Zeitabschnitte aufgeteilt wird. Ausgangspunkt ist eine aktuelle Entscheidung des Bundesarbeitsgerichts vom 18. Juni 2026 – 2 AZR 213/25. In diesem Urteil hat das BAG klargestellt, dass Arbeitnehmer, die Elternzeit in mehreren Abschnitten beantragen, vor jedem einzelnen Abschnitt den besonderen Kündigungsschutz nach § 18 Abs. 1 BEEG genießen – und zwar auch dann, wenn sämtliche Elternzeitabschnitte mit nur einem Schreiben verlangt wurden. Die Kündigung eines Arbeitnehmers im öffentlichen Dienst, der seine Elternzeit so gestückelt hatte, wurde deshalb als unwirksam angesehen. Gestützt hat das BAG seine Entscheidung auf § 134 BGB in Verbindung mit § 18 Abs. 1 Satz 2 Nr. 1 BEEG. Die Vorinstanz war das Landesarbeitsgericht Hamm mit Urteil vom 5. November 2025 – 11 SLa 394/25.Artikel:⁠⁠Wie wird der Urlaub während der Elternzeit gekürzt mit Kürzungsrechner!⁠⁠Podcastfolgen:1⁠55 Tage an Urlaubsabgeltung und Elternzeit⁠Homepage:⁠⁠Rechtsanwalt Arbeitsrecht Berlin ⁠

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   

Nerovnost se prohlubuje závratnou rychlostí a její dopady pociťujeme stále intenzivněji. Neovlivňuje jen naše osobní životy a podmínky, ve kterých žijeme, ale také stav životního prostředí. Lze ještě zastavit trend rozevírání nůžek mezi superbohatými a zbytkem společnosti? Pocit bezmoci je pochopitelný, ale existují konkrétní kroky, které mohou tento vývoj zvrátit? Může být součástí řešení reforma daňového systému a ochota přehodnotit dlouhodobě zavedené ekonomické a společenské mechanismy? V debatě, která zazněla na uplynulém ročníku Inspiračního fóra, vystoupil politolog a publicista Ondřej Slačálek, výzkumník v oblasti daní a korupce Miroslav Palanský, sociální antropoložka Lucie Trlifajová a historik zaměřený na hospodářské a sociální dějiny Jakub Rákosník. Moderoval politoložka a publicistka Kateřina Smejkalová  

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 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 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.

In Episode 105 of the Cybersecurity Readiness Podcast Series, Dr. Dave Chatterjee is joined by Andrei Robachevsky — Technical Director of the Internet Integrity Program at the Global Cyber Alliance, founding contributor to MANRS (Mutually Agreed Norms for Routing Security), former CTO of RIPE NCC, and former Senior Director of Technology Programs at the Internet Society — to examine a cybersecurity risk that almost no enterprise security team is governing: the internet routing layer.Opening with the June 2024 Cloudflare 1.1.1.1 BGP hijack incident — where two Brazilian network operators' routing mistakes propagated to over 300 networks across 70 countries, silently rerouting traffic for several hours without triggering a single enterprise security alert — Dr. Chatterjee frames the episode's central challenge: organizations with excellent perimeter controls, clean firewalls, and healthy identity systems can still have their user traffic redirected to unintended destinations by failures occurring on networks they have never heard of, in countries they have no operations in, governed by routing norms they have never been asked to consider.Drawing on the February 2026 MANRS Report, Robachevsky explains that the Border Gateway Protocol (BGP) — the foundational routing system across nearly 80,000 autonomous networks — has no built-in authentication. Routing incidents occur 200 to 300 times per month, most of which are invisible to enterprise security teams, manifesting as unexplained outages or performance degradation rather than as identifiable threats. The implications range from SLA breaches and erosion of customer trust to man-in-the-middle exposure of silently rerouted traffic.Analyzed through Dr. Chatterjee's Commitment–Preparedness–Discipline (CPD) framework, the conversation delivers a clear and actionable message: routing security is not a network engineering problem — it is a supply chain governance problem. The tools already exist. RPKI exists. MANRS exists. MANRS+ is nearly here. The gap is entirely on the governance side, and it is closeable. The organizations that will not find themselves in the next routing incident are the ones that start with a map of their connectivity supply chain and a single question to every provider: Are you MANRS+ certified?To access and download the entire podcast summary with discussion highlights - https://www.dchatte.com/episode-105-the-invisible-layer-governing-routing-security-as-a-supply-chain-risk/Connect with Host Dr. Dave ChatterjeeLinkedIn: https://www.linkedin.com/in/dchatte/ Website: https://dchatte.com/Books PublishedThe DeepFake ConspiracyCybersecurity Readiness: A Holistic and High-Performance ApproachArticles & Cases PublishedChatterjee, D. (2026). Root: Automating the Remediation Gap, Ivey Publishing, Jan 7, 2026.Ramasastry, C. and Chatterjee, D. (2025). Trusona: Recruiting For The Hacker Mindset, Ivey Publishing, Oct 3, 2025.Chatterjee, D. and Leslie, A. (2024). “Ignorance is not bliss: A human-centered whole-of-enterprise approach to cybersecurity preparedness,” Business Horizons, Accepted on Oct 29, 2024.Isik, O., Chatterjee, D., and Lourenco, D.A. (2024). “Getting Cybersecurity Right,” California Management Review — Insights, Accepted for Publication, July 8, 2024. Chatterjee, D. (2023). “Mission critical – How American Cancer Society successfully and securely migrated to the cloud amid the pandemic,” I by IMD, March 13, 2023.Chatterjee, D. (2022). “Preventing security breaches must start at the top,” I by IMD, September 28, 2022, Institute for Management Development, Lausanne, SwitzerlandChatterjee, D. (2022). “Making Cybersecurity Readiness Mainstream,” Executive Blog Post, NETSPI, March 1, 2022Benz, M. and Chatterjee, D. (2020). “Calculated Risk? A Cybersecurity Evaluation Tool for SMEs,” Business Horizons, available online from May 4, 2020Chatterjee, D. (2019). “Should Executives Go To Jail Over Cyber Attacks,” Journal of Organizational Computing and Electronic Commerce, Vol 29, Issue 1, pp. 1-3.Abraham, C., Chatterjee, D., and Sims, R. (2019). “Muddling through cybersecurity: Insights from the U.S. healthcare industry,” Business Horizons, July 2019.

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.

Titre de l'épisode : Debrief 2ème Demi-Finale 2026 : Naufrage à Vienne et pétards mouillésLa 2eme demi finale de cette 70e édition du concours s'enfonce dans les abysses. Si la soirée a débuté par une parodie de naufrage pour rire, c'est bien l'intégralité de l'animation qui a pris l'eau. Entre Victoria Swarovski et Michael Ostrowski, le malaise est total : un duo sans aucun charisme, des blagues qui tombent systématiquement à plat et un rythme d'une lourdeur infinie. C'est daté, c'est long, c'est une catastrophe industrielle qui fait passer les entractes pour une véritable souffrance.Au programme de ce debrief :Le miracle bulgare : Le hold-up de la soirée. On n'en attendait strictement rien, et on a été soufflés. Même Vincent a succombé, c'est pour dire le niveau de la prestation !L'Ukraine divise : Vincent et Quentin sont sortis du plateau bouleversés, pendant que Thomas a failli s'endormir. "Chiant" ou "Poignant" ? Le débat est lancé.France : Beaucoup de bruit pour rien ? Vocalement, c'est une leçon. Mais côté mise en scène, quelle déception ! La délégation nous a vendu une révolution visuelle pour finalement nous livrer du vent. À force de faire monter la sauce, la chute est rude.Le Danemark ou le déni de réalité : C'est le chouchou de Vincent. Pourtant, voir une chenille sur la scène de l'Eurovision en 2026 est interdit depuis la Convention de Genève. tout le monde le sait ! On ne cautionne pas.Aidan (Malte) : Il a fait chaud, très chaud. On analyse le sex-appeal de la prestation qui a réveillé un public agonisant.Tristesse lettone : La Lettonie quitte la compétition et laisse un vide. C'est l'élimination injuste de ce deuxième round.Le choc Delta Goodrem (Australie) : Une véritable fessée collective en termes d'interprétation et de technique vocale. Delta coiffe tout le monde au poteau et remonte immédiatement à la 2ème place chez les bookmakers. La reine de la soirée, c'est elle.Analyse sans filtre d'une édition qui s'annonce comme l'une des plus "cheaps" de l'histoire.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

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

In this episode of the Founder's Sandbox, Brenda McCabe sits down with growth advisor and author Vanessa Golsby to explore what it really takes to scale private equity-backed SaaS companies. Vanessa shares the story behind her new book, The $100M Push: The Four Decisions PE-Backed SaaS CEOs Make to Deliver Growth in 100 Days, and reveals the four critical decisions CEOs must lead to build scalable, resilient growth: defining the ideal customer profile, aligning go-to-market execution, making strategic investment decisions, and creating long-term operational accountability. Drawing from her experience advising more than 100 middle-market software companies and serving as an operating partner in private equity, Vanessa offers an inside look at how investors think, why commercial alignment matters, and how CEOs can create predictable growth through disciplined execution. The conversation also explores the role of generative AI in modern go-to-market strategy, the importance of reputation and purpose-driven leadership, and the entrepreneurial leap Vanessa took to launch her own advisory firm. This episode is packed with practical insights for founders, SaaS executives, and growth leaders looking to scale with clarity, confidence, and purpose. You can find out more about Vanessa at: https://www.linkedin.com/in/vanessa-goolsby/ https://www.linkedin.com/in/vanessa-goolsby https://vanessagoolsby.com/ Or order her book at: https://www.amazon.com/100M-Push-Decisions-PE-Backed-Deliver/dp/1963549309 Transcript: 00:04 Welcome back to the Founder's Sandbox. I am Brenda McCabe, your host. Now in the fourth season, the Founder's Sandbox is a podcast that gathers business owners, founders, professional service providers. 00:31 and corporate directors. And we all are working towards the same mission, which is building scalable, resilient, purpose-driven companies to build a better world. We do this with underpinning, with great corporate governance, and really working with the founders to build that resilience and scalability. My guest, um join me here in what I like to consider a fun sandbox. 00:55 And this month, my guest, I'm actually delighted to invite Vanessa Golsby. Vanessa's joining me from, is it Dallas? Dallas, that's right. Dallas, Texas. So um more here, but thank you Vanessa for joining me on the Founder's Sandbox. And I wanna give a brief introduction to why Vanessa's here today. There's multiple um boxes that she checks, largely Vanessa. 01:22 has her own firm. She is a growth advisor who specializes in scaling private equity back middle market software companies. And it's an interesting time and that space that I'm certain we're going to get to a question here in a minute about the impact of generative AI and all those models out there and the effect on software businesses. You're a seven-year veteran as an operating partner. 01:48 in two private equity firms and portfolio SaaS CEOs. She has helped more than 100 middle market software companies drive growth, execute go-to-market companies, go-to-market, pardon me, turnarounds, and deliver investor returns through sharper commercial execution. That's all in the commercial execution, isn't it, Vanessa? That's right. Yeah. And prior to advising, she was a former operator leading product and commercial. 02:16 teams for 18 years at brands like Travelocity and Financial Times, which I didn't know that when we first were talking. I hadn't realized when we had our first conversations of your corporate experience with Travelocity and Financial Times. So you brought a lot of that corporate kind of know-how into the private equity world and you actually started your own firm. it four months back? 02:44 October, October of 2025. My goodness. So you're not even into your first year. I know. So, and, and, uh, you are an author. So your book, um, so I don't know when you found the time, Vanessa, but your book, the 100 million push the four decisions PE backed as SAS CEOs make to deliver growth. And a hundred days is out. 03:13 Matter of fact, this last week and we're in the third week of April, it uh hit bestseller, right? That's right. Amazon. Yeah. And in that book, we'll get into it. You distill the framework that you've developed. I don't know when, while setting up your own firm, but you developed over decades in the trenches, codifying the sequence behind the big four decisions. 03:40 that enable CEOs to scale with speed, clarity, and confidence. So welcome to the Founder Sandbox. Great. Thanks for having me. Happy to be here. Well, I always like to start with uh my guests to really talk about your origin story. And I think what's very appropriate for today's uh episode is what drove you to actually write a book, right? 04:09 because it distills both your professional as well as um this new tool that you got out there in the market. Yeah, you know, I never thought I would set out to write a book, if I'm being honest. I had, I'd spent, at this point, I'd spent probably about five years as an operating partner, so as a growth advisor for PE firms. And so in that role, I had been 04:38 pretty well practiced at writing best practices. So I understood how to codify a framework and explain it, you know, in long form, basically. But I never had dreams of being like a full author, like writing a book is totally different than writing a best practice. uh But a really strange thing happened about five years into my career as an operating partner. So I'd had about 18 years, as you mentioned, like in the trenches, like a tactical, and then about five years as an advisor. 05:06 And um over the course of those five years, I had developed for myself this framework because when I moved to the firm that I was at at that point, I was having to work on about 10 software companies at a time. And it's really difficult to show results uh efficiently when you're having to focus on so many different companies who have different industries and different sizes and different needs. And so I created this framework just so I could work at scale. 05:35 And uh I had been running it probably about three years at this point when I needed to go back and take a look at some of my case studies. So I wanted to collect case studies. And luckily, because I was still at the firm, I was able to get access to actual data from these companies that had been running the framework. And oftentimes what happens, because I focus on middle market software, there's a sales cycle. So oftentimes what happens 06:04 is we'll run through this framework and we'll see immediate results by way of pipeline and maybe bookings depending on the sales cycle time. But oftentimes we don't see the actual bookings and revenue results until a quarter or two after, depending on what it is that we're selling. So this was really the first time that I had really paused and like done, if anybody here has had to do a case study or fact finding exercise for a PE firm, know like what a... 06:32 slog it is to have to like go look through all this data. I like found the time, I prioritized it. And what I found was, I mean, there was no surprises in terms of like when we wrapped up our, usually my engagements, I try not to be there longer than 90 days. So it's either a 30 day, 60 day or 90 day plan that we run through. It's pretty tight ah in terms of how we manage through it. So by the end of our... 06:57 I have a sense of some results, like whether it's pipeline or early bookings. have some walking away knowing that we've seen some lift, but this was the first time I'd been able to go back like a couple of years to see like, what about those first companies that ran through it? And I'll tell you, Brenda, I fell out of my chair. I was like, I cannot believe the consistency. You can see in the data, like the trajectory, the upward trajectory from when we started working on the framework and then where they were today. And 07:27 At that, that was like the first seed. Like that was like a Thursday. And I was like, I don't know what to do with this information, but I have this information. Oh my gosh, this works. can't believe it. Right. And I really had to sit with that. And over the course of like two or three weeks, a few other things kind of happened that led me to the path of writing a book. Um, and one of those is I was listening to a podcast. I'm an avid podcast listener. 07:54 And I was catching up on April Dunford. She wrote a book on positioning. Obviously awesome. It's a great book for positioning. And I was going to have to run a positioning workshop. And so I was like, oh, let me like get into my head back into the game on messaging. So I just like queued up like the latest podcast I could find from her and then went on a run. And then I was like a captive audience. I went on this run. It turns out the podcast I had queued up was not about positioning. It was about her journey as an author and writing her book. 08:23 So I spent an hour listening and getting really inspired. And when I came back from that run, I thought, you know what? I have to tell the people, there is a way to consistently build and scale companies when they're going from, my framework is very from 10 to that first 100 million. And so that was really the inspiration for me. then it's just been a journey from there. 08:52 We'll get to it, but you uh codified um when you had those aha moments, right? You went back and looked at the cohorts of the companies that you had been working with, right? 30, 60, 90 day framework, for lack of another word. Can you share what are those four things that enterprise SaaS CEOs do? 09:18 Sure, so my framework is an order of operations. So everything that happens at the beginning has like downstream implications on the other activities. And originally when I created this order of operations, I hadn't high leveled it in terms of four decisions. I did that for the book because I wanted to write the book for CEOs. CEOs are such a, especially going to the first hundred million. CEOs. 09:45 have to have their hand on the strategic wheel of commercial growth. not yet mature, they haven't yet matured out of that. There is a place over a hundred where you can start to delegate more of the idea of commercial strategy to like a, you know, top tier executive CRO, for example. But when you're working on the path, especially if you're PE-backed to a hundred, you really need to stay involved. And that had, I had noticed that that core ingredient oftentimes was 10:15 one of the gaps I was inadvertently closing when I was working with these companies. And so because of that, I wrote the book for CEOs. And since I was writing it for CEOs, I was like, oh, I need to go one level higher than my traditional order of operations, which is very like activity sequenced and like talk about more of like, what is like, what is strategy? Strategy is making a decision and committing to it. So what are the four decisions that a CEO needs to direct and commit to have their team commit to in order to see this growth? 10:44 And those four decisions kind of tell the story of growth from up to the first hundred million. Frankly, it's kind of the same above a hundred, except the last decision actually becomes the first decision over a hundred. But anyway, that's right. So four decisions that CEOs that you were saying that are 10 and get to and to get in order to get to a hundred million, they have to be really continuously involved. 11:13 in the growth of the company. They cannot delegate until they reach that um upper level. They don't necessarily need to direct or be boots on the ground in these areas. But when they make these decisions and they guide their teams and champion these decisions, what happens as a byproduct of this is they inadvertently align their business in a way that is 11:43 successful for commercial strategy. So for example, I'll just walk through the decisions quickly to give you an example of how this works. um So the first decision, I high level it as the ideal customer profile or the ICP, which is just another way of saying who are we going to target? And my bit, my specialization is being PE backed. So part of what CEOs and companies hire me for is certainly the pattern recognition of working on over a hundred software engagements. 12:13 but also that sort of behind the scenes view of what the investor is expecting. you know, bringing that idea. When your PE backed, once that investment round closes, are inadvertent, not inadvertently, you are inherently um signing up to expand and grow either within your market, into an adjacent market, or in some other capacity. And just by that definition, you need to, 12:41 understand who your target is going to be, who your best buyer is going to look like for this next round of growth. So it's generally, this is such a major trigger event, this idea of becoming um PE backed, that it's generally a signal for CEOs to say, okay, now let's take a look and see if our existing customer today is going to get us to where we need to be in five years. Because that's five year journey is what you've signed up to take on essentially. So the first 13:10 The first decision is that ICP decision. Once we have an understanding of who we're going to target, then we focus, especially with the commercial side, we focus on how are we going to turn those targets into opportunities, right? So in software, it very much goes from like lead to opportunity to closed one deal, right? So that's what I mean when I say opportunities and or pipeline opening. And this idea of how do we turn targets into opportunities? I high level this decision as the SLA. 13:40 which is a pretty common service level agreement. in this framework, it covers about five or six very specific decisions that your sales, marketing, channel partner and CS teams need to align around to ensure that the build of their lead management system and how they're qualifying those leads to become opportunities is sufficient enough to have some predictability. like you have some confidence that when you put a dollar out, 14:10 into a marketing campaign, it's going to convert into pipeline, really, right? And then ideally into bookings from there. And so that's the second decision. the first one, who do we target? ICP decision. The second, how do we turn those targets into opportunities? The SLA decision. Once you reach... 14:29 Once you have the confidence and some predictability flowing through, now you're ready to make a more strategic decision. And these last two decisions are really where the CEO not just champions, but takes an active role in the decision making. The next one is the contribution decision. So this is now that we know who we're going to target and we understand and have confidence that when we target those buyers, they are going to turn into customers. The next question is where do we invest? 14:57 to go get more of those targets. So who's going to contribute to our revenue number? How much are we going to put into channel partners? How much are we going to invest into marketing? How much are we investing into outbound? How much are we investing into PLG or a self-serve motion, right? How much is new? How much is expansion? And in this decision, we start to bring the CFO in to take more of a governance posture around commercial. So we give the CEO more context around 15:26 Some of the horse trading that typically happens in a silo between the teams. We now have those kinds of conversations around investment decisions and headcount and budgets all together in a room. I run this like a workshop, but all together in a room. And the book teaches the CFO and the CEO how to run this on their own. Excellent. for kind of the terminology that I would use and correct me if I'm wrong, it's kind of capital allocation. So a bit more rigor. 15:56 is brought in with this discipline of budgeting, right? You're talking about contribution decisions, So it's budgeting, capital allocation, and um bringing another uh kind of the controller of the purse strings, the CFO. That's right. Right? And jointly with the CEO are posturing and actually sprinkling it down to their direct reports, I suspect. 16:25 Right. Well, we so the way that I teach contribution modeling is everyone needs to be in the room. No one function, not the CFO, not the CEO, not the CRO can make these decisions for the entire commercial team who is actually going to need to. Yes, it is a budget allocation exercise, but actually that's the second step. The first step, it's a goal setting exercise. oh We break down. 16:53 Each of those pipeline sources has different stages, which we just got very deep on in our SLA decision. So we understand what those stages are called. We understand how long we expect somebody to stick in those stages. We understand what those conversion rates are through those stages. And now that we have some sense of those inputs, we basically enabled ourselves to sign up for a number. So now we can look at marketing and we can say, oh 17:22 If you're gonna sign up for a million dollars in pipeline this year, that means at this selling price, you're gonna drive this many deals, right? At this conversion rate, at this close rate, this means you need to have this many opportunities and that this conversion rate from lead to opportunity, you need to drive this many leads. Can you drive this many leads? And the marketing person's like, that's a lot of leads. I don't know if I can drive that many leads, right? 17:48 And if they hesitate and they say like, can't realistically get that many, we look around the room and we say, okay, who else can drive more leads? Let's look at channel partners. Now we do the same thing from referral to meetings booked to, know, et cetera, et cetera down the So it's very like, it's very precise in terms of setting goals at the funnel stages, but not to become that, like we're not expecting frankly, to get a bullseye out of this workshop. What we're doing is we're kind of snapping the chalk line to say, 18:17 Okay, this is what we think we can go do. And now we're gonna meet with the CFO leading, we're gonna meet every two weeks or every month, and we're gonna see how we're doing. Are we driving this many leads for marketing? Are we getting this many referrals from channel partners? Are we booking this many meetings through the BDRs? And if the answer is no, then we look around the room. Where else can we do it this month? So we have something we can react to in real time, and rather than showing up to the board meeting and saying like, yeah, it was kind of a miss, but I think we have some ideas for next quarter. 18:46 Like this puts everyone in a position now to become far more reactive to what's happening in real time uh as a group, as like a singular one team. And what about the fourth? Yeah, so the fourth decision. And again, this decision is fourth when you're going to 100 million. But if you were above 200 million or as you like progress to like four up to a billion, this actually can become sometimes the first decision. 19:14 when you kind of need to work your way to this point um for when you're going to 100 million, especially after the contribution decision, that contribution. Yeah. Cause that's going to surface a lot of ahas for teams. Like oftentimes you're like, Oh, actually we need to break into a new market. We're saturated or, my gosh, you know, like we need a, you know, too many, we need a ton more reps or actually we don't need more new sale reps. What we need is expansion reps and really need more there. So 19:43 Like in that contribution conversation, you really surface so many of your growth levers that you're prepared for the fourth decision. So the fourth decision is now that we know who we're going to target and we know with confidence how we're going to turn those targets into opportunities. And we understand where we're going to investigate more of those targets. Now we talk about how are we going to do this over the long term? So how are we going to do this not just this year, but for the hold period? So for five years. 20:10 And so this decision I high level as the OKRs, which is an industry term. I didn't come up with that, but it stands for objectives and key results. And it's essentially gives the CEO like almost like a project management framework for long-term planning. um And you really can't necessarily jump to number four if you're going up to that hundred day plan without having these first three decisions at least somewhat cemented or somewhat committed to. 20:39 um Otherwise, what ends up happening is your OKRs are, you know, have like 25 things you're going to try and go tackle. So you kind of like, kind of, you know, by just by um the effort of making these first three decisions, you've already like started to prioritize for your team where the important levers are that you're going to focus on. 21:01 Thank you. I wanted to ask you by publishing this book, are you putting yourself out of business? That's a good question. A grow-to-market advisor, The enterprise SaaS sector that's under a lot of pressure right now with the dinner to bay eye. So let's take the two questions. Let's take them apart. And I'm being a bit. It's a great question. I asked myself that question. Yeah. 21:29 Yeah, my publisher asked this too. Why put it out there? You're putting yourself out of business or no? Yeah. Well, you know, the way I, there's a couple of answers to this, a couple of dimensions to this. The first is, you know, a lot of the motivation to write this book was to get the word out. Like when I saw the consistency and how well the results sustain when companies run through this framework, I was like, Oh my. 21:56 Why aren't we telling all of the CEOs that there's a way to go do this? Like we know these activities, it's things like territory planning and quota setting and SLAs. like, know, people know that activities that need to happen, but the unlock here is the sequence, like it's important to do them in order and that they're done altogether, which is the role of the CEO, right? Is to ensure that the right people are in the room when you're making these decisions and everything's like. 22:24 That's the those are the connectors right is are the those are the interlocks are the decisions the activations happen You know within the function so I? Was passionate like we talk about purpose the reason I was excited to be on this podcast is because this is very purposeful for me It felt like holy cow Look what I discovered under the pyramid I got to tell the people like there's an easier way to do this We don't have to bang our head against the wall to try and figure this out the hard way so 22:53 In that way, it didn't really feel like an option to necessarily hide it. ah And then the other side of me thought about it in terms of like changing the oil in my car. Like, I know that I can change the oil in my car. It's not a difficult, complex process. Like, it's very straightforward. But do I want to do, do I want to like get in coveralls and crawl underneath my car, like find the little lackey thing? No, I don't want to do any of that. I would far rather just bring someone in. 23:22 take the guesswork out, have it done, have it done correctly the first time, and leverage someone else's expertise in case they find something that I wasn't expecting. ah So I feel like I'm still bring, like when people leverage me to run through this, I'm still bringing a lot of value that you're not gonna necessarily get out of the book. mean, people, CEOs and firms hire me because of the pattern recognition and because I've seen these things play out enough times across different industries. 23:51 uh But I don't want to be a holdup. Like, please, if you are able to do it, then I welcome, I encourage you please to go run these plays yourself. And I try to give a lot of, it's very structured. This book is, the structure of this book was really difficult to come up with. It probably took me the longest amount of time, honestly. But I wrote it in a way that a CEO could read it quickly, because I know they don't want to read too many things. They are very busy. um 24:18 And so like they could digest it quickly and they could hand it off because that's kind of their role is to say like, I'm going to now equip my leaders to go do this and do it successfully. And they still have a role to play. But again, they don't have to be like in the trenches. Right. And without um seeing the book right now, I sound and Kendall on audibles or Kendall, um are there like exercises? Are there, is it like a handbook or is it um I'm a CEO? I 24:48 read your book um and I want to contact you. Do I to come in and maybe do some seminars? How does that work? Because this is a marketing tool as well. Yeah, yes. mean, of course I this book can be just a step by step guide for CEOs and their teams if they want to take it that way. So I tried to write it dimensionally. So the first dimension is 25:13 It equips the CEOs to understand, like the first two chapters are really around what is the investor expecting of you? Basically it's like, here's a little bit of the behind the scenes. Yeah, that was intriguing for me when we first spoke of it. Yeah, you've been in that room. Yeah, like I've been in it. Yeah, exactly. like, you know, one of the things that, again, like a lot of things happened in this like two or three week time period when I was kind of coming to the conclusion that I was going to write this book. And one of them was I was in a board. 25:44 meeting and there was a CEO advisor also in this board meeting and I could see the CEO advisor was um giving great advice based on their singular experience but the truth is is their experience was so unique to them that it would be really difficult it'd be like saying like 26:07 Yeah, just, once you press post, it's gonna go viral. It's like, let's not over promise here, you know, what's realistic. And that really hit me to say like, oh, this is a unique perspective. Like I'm not necessarily an investor and I'm not a CEO. it's been years since I've like managed a commercial team or been a GM, but I have... 26:34 I've flown all of those altitudes and I've been an observer in all of those rooms so many times that like the patterns, you just can't deny the patterns. um So yeah, I'll stop there. I'll pause there. So you do the reveal, right? So for any CEOs of enterprise, um SAS companies, this is a must read, right? Because you're doing the real deal. What is actually happening in the boardrooms of those private equity? uh 27:05 partners right that are yes looking at their portfolio companies yes yes thank you yes so i start with like you need to equip yourself with understanding what is expected of you when you took this investment which isn't frankly always talked about like it's not always revealed to the CEO ah so that's the first step and then it is a step-by-step guide so like there are the four decisions and then within each decision 27:33 I show them the book is structured to show them, tell them what the decision is, give them some case studies of other companies who have solved it, give them some red flags that say like, look, this is a really helpful book if you just closed your investment and you need to run like a, they call it a hundred day plan of like, you're going to deploy a lot of that, those investment dollars very quickly in order to like try to get traction on growth. So this is, I wrote it in that framework just because it is naturally 28:00 predisposed to running in like a 90 day plan framework anyway. um But it's also one that oftentimes in a hold period, you're going to hit some kind of plateau, right? It's very rare to like knock a home run out of the park right out of the gate. And so I also, so like in that, in that first part, so like each part, each decision has a part. So there's like a part for, there's like a four chapters on ICP, four chapters on SLA, four chapters on contribution. 28:26 The first chapter tells you, like gives you the red flags to look for if this is an issue, tells you what the investor is expecting, tells you your role and how you can direct the team, tells you when you need to maybe outsource, like what's the things you should absolutely do and the things that are kind of like nice to haves. Then the next chapter goes into how do you make this decision? And each of these decisions, the way that my approach is, 28:53 Um, is I like to do like 50 % gut and like 50 % data. So I always start my engagements with like surfacing from your internal experts already. Like a lot of times your C-suite lieutenants. Yeah. They like, I get called in for audits. Like that's like oftentimes I'm brought in initially for an audit of some kind. And in that audit, it's like a 360 commercial audit. And in that audit, I have like a week that I just cap off and I talk to anyone that you'll let me talk to. 29:23 And they're telling me the problems. like, this is really like, we've known this is very rare for people to like, I have no idea. They know what they did to get here. And so we start with the gut. And so in this framework for the book, the gut is surfaced through workshops. I'm a huge advocate of workshops. think, you know, honestly, my time with Vista really beat this into me, like the importance and the value of workshops, because not only is it a great place to surface everyone altogether, but it's 29:52 early adoption. Like when your voice is heard and you could challenge something in the room, when the decision is being made, you're far more likely to adopt it when we get to the final output. So I'm a huge fan of workshops. So each of these has a workshop. And this is a lot by and large when I'm training, when I'm teaching the CEOs, it's like, this is what you need to get out of the workshop. This is agendas. You can, have all of my agendas are up for download. Like you can download the agenda. You can run through it yourself. And this is who needs to be. 30:21 Yeah, like I want this to be helpful. That's the whole point is like it's supposed to be taking the guesswork out for the CEOs. uh And then you need to there's a data validation. Like, yeah, everyone's got gut. But then we do need like we are going to make some commitments here. So exactly. Yeah. So we need to like in each of these have different places that you go and source that data to validate. uh 30:43 So that's how we make the decision. Then I go through how you execute the decision. And for CEOs, this is almost like the TLDR. It's like, give you like, look, these are the steps that they're go through. Then in each of these chapters, I go far more into detail. This is what you're gonna go tell, like this is what your management team is gonna go do. And this is what good is gonna look like. So you're not done with this step until you've seen these five things come out of this exercise, essentially. 31:07 And then finally, each of these parts, so we've got like, what is the decision? How do we execute the decision? I'm sorry, how do we make the decision? How do we execute the decision? And then how do we measure the decision? And this goes back to how your growth story. So a CEO's role is not just to understand, right, our long-term objectives that may be surfaced in our investment thesis, right? Those are the first two chapters. It's not just coordinating the execution and setting the priorities and resourcing your team, right? Those are the four decisions. 31:37 But you also need to tell that story and you need to tell it in a way that makes you show well, that makes your company show well, and that makes you more attractive, frankly, at your next round of investment. so, yeah, externally telling exactly. So as well as internally. that's right. So that was really long winded, but that's basically the structure. It goes pretty far into detail, but I do. 32:02 high level for CEOs, like you can skip this part, just give it to your zero. So, so the book is out and um you started as you went rogue yourself and said, I'm working for myself and yeah, that's right. And um what happened is you've got some of your clients that had seen your, your work in prior years and, have taken you on as their advisor. 32:31 Why are they taking you on? it around your, are you scalable or your purpose? I mean, you're wanting to give back. So yeah, tell me. And you shared a little bit when we were talking before the podcast about you got a call from a client that you had from many, many years ago. Yeah. Yeah. I, you know, when I was deciding to go out on my own, it was really scary, right? Because I had, I never really even, I, I had been motivated to write the book. 33:00 And that was almost as far as my thinking had gone. And then at that point, the book was supposed to come out. Originally, the book was supposed to come out in January and we could have a whole other podcast about writing a book. so originally it was kind of, I knew like internally, I was like, gosh, by October, I was like, I need to make a decision. Like, what am I going to do? Am I staying? Am I going? Am I doing something else? And so I reached out to every person that, that I, you know, had some sort of like respected conversation, like a respected relationship with. 33:29 over the course of my career. And I basically asked him like, what do I do? What would you do? And I'm really lucky because at this point, I had been an advisor for about seven years, you know, with really established firms and the folks that I had worked with, that knew me, knew what I could do, had since gone on to a million other firms. So like my network on the firm side was pretty large. 33:59 And in those conversations, there was just inevitably a conversation that ended with like, look, if you go, I'll give you your first client right now. And so I was like, well, there you go. Close the door, a window, let's go. That was how it went. Yeah, so you reached out to your network, which is super powerful. Yeah, it really was. And it was honestly, I had surfaced my network throughout kind of writing the book because 34:27 You know, one of the things I think that is unique about my situation versus some of the other authors who have written fantastic, and I'm an avid business book reader, Fantastic Frameworks, is that my perspective is from the operating partner's point of view. And I am, yeah, it's very like, and so I'm really lucky because I, as I mentioned, like a lot of the folks that I have worked with over the years are now at so many different firms. 34:57 And so as I was writing this book, I would send out surveys to people and just say, Hey, just like gut check, do you see this too? Are you seeing this? Like when I wrote a whole chapter on like the value creation plan and you know, the value creation plan is one of those things that people talk about. Like it's this like standardized formal process, but it's wildly different, like firm to firm, like it's so totally different. And I just wanted to uh get a better sense of how these different firms of these different sizes were actually running their value creation plans. 35:26 And that's just impossible for me to do by myself. Like I need my network for that. So this whole process has been really great. And just like also bringing together some of my work friends that I hadn't been able to really, or I hadn't like, you know, kept up with as well as I should have. And so now I feel like my network is just like really thriving and humming. And I feel so much closer to like these people now than I have in a long time. So it's been really beautiful in that way. 35:54 Thanks for sharing. know, I want to ask you how has, well, your frameworks be at all affected in your opinion by the generative AI and how it's taken quite a bit of value out of the stock market. So now it's back up, right? So let's, so was, are you isolated from that effect? Your, your, your, your, just your, your frameworks. 36:22 Yeah, you know it's funny I wrote this book so I've done a lot around writing best practices for AI for go-to-market teams so I was pretty what by the time I wrote this book I had a lot of already like pretty packed research and thinking around AI and what it could do and what it couldn't do. I of course how could I you know I wrote this book almost two years ago now like 36:46 has really changed the game and just some of the new models that have come out. We knew that they were gonna be pretty revolutionary, but it was hard to be very specific. But I did, in the book, I have a very specific point of view on how AI can ah make what you do more effective, more scalable, where can use what you are bringing to the table and... uh 37:12 The word is escaping me, which is ironic scale, basically what you could do. And so that's my approach to AI and it's still my approach to AI. So I don't see AI as a competitor. I see it as an accelerator, really. And so I'll take account scoring as a great example. So in this idea of 37:38 these four decisions, one of the activities that you inevitably will need to do, it's under the ICP decision. So once you have an understanding of who you're going to target, you want to then score the accounts that are in your database to say like, is this a tier one, is this a tier two, is this a tier three, is this a tier four, and we're not gonna like, they're actually gonna churn too fast for them to even be worth that selling to. And so you're building out this account scoring model. Now, there are platforms that can just do this for you. 38:06 and they're just like, look at your data and they're like, great, we're gonna do this for you. But those platforms don't know your growth plan. They don't understand like what your investment thesis is. They don't understand that you have a very concentrated point in time where you're going to make, you know, a 30 % CAGR, you know, you've got like big, big goals. You're not just trying to do status quo every year. And so it's in that same kind of vein, like the human still needs to drive and be the director of... 38:33 where the AI is going to execute. um But AI is a fantastic accelerator. I'm excited. I love partnering with AI. It's not perfect. I think of it as almost like an MBA intern, like whip smart, smarter than I will ever be. But you can't totally take your hands off the wheel. You're like, there's context. That's great analogy. Oh my goodness, that's hilarious. It is true. um 39:03 AI. particularly like the perplexity model because it's on top of all of them for uh writing and preparing some of the work I do with my clients. So it becomes my companion is what I call it. Right? Yeah. Oh yeah. Definitely. Excellent. Well, I'd like to give you an opportunity to share how my listeners can reach out to you. Oh, sure. They'll be in your notes. Vanessa. Carry on. Okay. Great. 39:32 So I have a website Vanessa ghouls be calm I'm also on LinkedIn both ways You know are pretty easy ways to just you can look at my calendar and schedule time if you're interested Often time like my most most of the ways that I get brought into engagements is There is some kind of trigger event where the CEO or the PE firm Says like we need we need some 39:59 things, some kind of audit, some kind of assessment, some kind of strategy, some kind of like, what are our growth levers, right, to get us to whatever the next thing is. It's generally a two to four week audit. em And as I mentioned earlier, it combines interviews with your team with I have like a list of artifacts that we start off with. It's, I don't want to say it's like diligence, because it's not like diligence. But it is a pretty thorough 40:25 uh So you get sales, marketing, customer success, channel partners, digital, all of that. uh And oftentimes CEOs will have like a specific need on top of that. you know, I've got one where I just did one where it was like, we want to see, you know, we know we just got our investment came through and we kind of need to set our hundred day plan. So where should we go? You know, what are the foundations we need to build and fortify for this next round? uh We have one. 40:53 One other trigger that's pretty common is on the back of maybe M &A, where you have like two go-to-market teams that need to integrate together. Yeah, they like will bring me into sales. How are we gonna do that? Yeah. Or they have done that and maybe they're still not quite hitting that like expansion number that was originally conceptualized. um And then, yeah. And then the third, which is, I mean, it's like the... 41:21 the least positive, but honestly, the most exciting for me is, you you're like an a mid hold plateau. You're like, gosh, you know, I had one just last month where it was like, they hit this $30 million ceiling and they for like three years have thrown every spaghetti they could at the wall and just could not get past this ceiling. And, um, and so like the audit can, it's very focused and like trying to get to whatever the objective is, but it's, it's holistic because my whole, my whole shtick, right. Is that like, 41:51 It's no one team. It's like all of the teams kind of have to interlock in a line together. Yeah. Yeah. Quite revealing. Excellent. Those are excellent use cases. Um, and we'll put this in the show notes as well as your website and Vanessa. Um, let's come back to the sandbox. I do like to do a round of just questions about three words and what is the meaning for you. Um, and each of my guests comes up with their own um interpretation, their own meaning. it's 42:19 So what does resilience mean to you, Vanessa? Yeah, think resilience means being internally motivated. There's a drive that is not necessarily anchored or reactive to anything that's happening externally. uh For some reason, you just can't let it go. 42:47 How about scalable? What's scalable? Oh, wow. I mean, spent so many years uh writing about being scalable. Yeah, you know, it's funny when I think about being scalable, you know, it actually initially comes to mind as like growing pains, like this idea of growing pains. uh And I'm just now kicking myself for not reading the prep questions closer. We're going to rip a little bit, but. 43:15 But yes, being scalable is having that resilience through the growing pains, knowing, right, having like some kind of faith that at the end it's gonna be bigger, better, probably bigger than you even really could even have imagined or maybe even in a direction that might not have been initially planned. Excellent, excellent. Yes, and I also wanna just, I think. 43:43 you know, we're back to the title of the episode, is, um, and which is building purpose, building reputation with purpose. And you were adamant about that. So what does purpose mean? And maybe you'll bring into, know, what, what is building reputation with purpose for you? know, I, um, 44:11 It's funny, I feel like it really goes back to this resilience question, but it's so much of it just comes down to acting with kind of like, like I work with companies that have like cultural values, right? And they're like, oh, or Patrick Lindsay only has a great one, like the heat, likes to say, you know, hire people that are hungry, humble and smart, right? So like, you have your like keywords, your brand words, your value words. And I think for me, 44:40 um over the years, my purpose has been to act with integrity and grace and curiosity. And, um and that's something that I don't think about logically, right in life. But I try to bring that kind of inspiration to the teams that I'm working with. And it's a lot of the reason why I wrote the book was to say like, 45:10 Look, there is a way. You don't have to follow every single thing that's in this book. But if you get stuck, isn't it helpful to have a guide, like a troubleshooting guide to say like, oh, let me just go to the index here. I'm a little stuck on territories. I'm going to get over it. And that's the spirit that I try to bring to everything that I do, which is, yeah, we can solve any problem. Like any problem is solvable. And guess what? Execution problems are the easiest thing to solve. So like, 45:40 Let's have some fun and we can, we can, there's a way to do it basically. Right. Excellent. Thank you. And last question, did you have fun in the sandbox today? I had so much fun. This was great. You know, honestly, I didn't really know how this, like I do enough of these podcasts now and it's so usually anchored on the framework and like, you know, the execution and like, you know, very tactical. 46:07 And so this was just a really, this was like a breath of fresh air because we got to talk a little bit about the human side of it, which I find really motivating. It is. And I do recall you were really set on building you and you it's your reputation. Do you have Vanessa Goldsby that has gotten to you, gotten you where you are today and by giving back and providing that, you know, writing that book and then, you know, serendipity, you decide, Oh my gosh, I'm going to go out on my own. So it's, your reputation. 46:35 that has been built with purpose. I want to thank you for joining me here in the Founders Sandbox. To my listeners, if you like this episode with Vanessa Goldsby, sign up for the month release of the Founders Sandbox where I have guests that are Founders, business owners, service providers like Vanessa, um and board directors who build with strong governance, resilient, scalable, and purpose-driven companies. 47:03 So signing off for this month. Thank you very much. Thank you, Brenda.

Rick Watson talks with Alan Gaffney (CEO, Townchest), Nick Boetcher (Avalara), and Justin Samakow (Mirakl) about what breaks when a marketplace scales.Townchest runs a "shopping for good" program where schools partner with manufacturers to fund themselves through retail sales. A regional launch created nationwide Nexus exposure within weeks, because supporters of a school in Ohio live in Texas, California, and everywhere else. Alan unpacks the hybrid seller-of-record setup that followed: Townchest carries that role for some partners, not others, and the operational cost runs both ways.Justin and Nick cover the back-end. Mirakl's Catalog Transformer normalizes supplier data and pushes it into thousands of school storefronts. Avalara's Avi agent assigns tax codes from a global library against the data Mirakl sends through. The two also get into where strict SLA automation earns its keep (auto-deactivating sellers who miss order acceptance) versus where alerts suffice (high return rates).The Private Storefronts, Shared Suppliers, One Compliance Nightmare webinar was sponsored by Avalara and Mirakl.

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.

Although we're heading into the final weeks of the school year, learning should never stop. OEA members have the opportunity to learn from each other, improve their practice for their students, and build their skills and relationships at this year's OEA Summer Leadership Academy June 22-24 in Columbus. In this episode, we're sitting down with two OEA members who are presenting at SLA about why this is such a valuable experience for educators. We're also hearing from one of the OEA staff members who is co-planning the event about why a fireside chat with the keynote speaker, Tyler James Williams from Abbot Elementary, is just one of the many draws for this year's SLA conference.REGISTER NOW FOR SLA | The OEA Summer Leadership Academy is designed to help OEA members at all levels of the association realize and develop skills and talents as leaders of their profession and their association while building relationships and organizing for power. June 22-24, 2026 - Hyatt Regency Columbus (350 N High Street, Columbus, OH 43215)More information and registration at https://cvent.me/z0aWP9Registration deadline: June 12026 Summer Leadership Academy Features:• Annual OEA District Leaders Event open to all Summer Leadership Academy attendees• Meet and Greet with Ohio's 2026 pro-public education candidates• More than 40 unique sessions to meet your professional learning needs• NEW! A wellness session block focused on balance, care, and creativity• Time for you to connect with your colleagues, learn together, and reflect on how OEA members are United for Public EducationJOIN OEA FOR MORE SUMMER FUN | In addition to this year's Summer Leadership Academy, OEA is offering several other opportunities for educators to come together while school is out:GOLF OUTING | Join OEA at Champions Golf Course before you head to SLA on Monday, June 22, 2026.Click here for full details and info about registering your foursome or signing up to attend as a spectator.SUMMER CELEBRATION OF DIVERSE READERS | OEA and the Dayton Education Association will be giving away thousands of free books featuring diverse characters, written by diverse authors at the 4th annual Summer Celebration of Diverse Readers on Saturday, June 13, from 11 a.m.-2 p.m. at the Lohery Recreation Center (2366 Glenarm Ave. Dayton, OH 45420)  SUBSCRIBE | Click here to subscribe to Public Education Matters on Apple Podcasts or click here to listen on Spotify so you don't miss a thing. You can also find Public Education Matters on many other platforms. Click here for some of those links so you can listen anywhere. And don't forget you can listen to all of the previous episodes anytime on your favorite podcast platform, or by clicking here.Featured Public Education Matters guests: Mackenzie Leonard, Van Buren Education Association memberMackenzie is the EL Program Coordinator and ESL teacher at Van Buren Schools, where she works with students grades PK-12. She is also a member of the Ohio TESOL Board and a proud member of OEA's EL Cadre. Kenzie is a graduate from THE Ohio State University as well as from BGSU and has a passion for developing and fostering cultural awareness and multicultural experiences within small-town communities. Kenzie is a daughter, sister, and "Mama" to her ever-energetic daughter, Palmer!Joie Moore, Pickerington Support Staff Association PresidentJoie Moore serves as the president of the Pickerington Support Staff Association, as a board member of Central OEA/NEA, and on the OEA Board of Directors, representing Central Unit 2. Additionally, she is the Vice Chair of the Ohio Association of Education Support Professionals. She was a participant in the OEA ESP Educator Voice Academy and a 2023 NEA ESP Leadership Academy graduate.  Joie is married to Greg, a fellow OEA member, and they have two adult children, who both graduated from Pickerington Schools, Frankie and Nick.  In her downtime Joie enjoys spending time with her family, crafting, and reading. Daria DeNoia, OEA Education Policy and Practice Consultant In her role as an Education Policy and Practice Consultant for the Ohio Education Association, Daria DeNoia (she, her) advocates for best practices and equitable policies for Ohio educators at the state level, and provides professional development for OEA members that supports their teaching practices.  She has been a special education teacher for young children with significant needs in an urban school district, an experiential pre-school teacher, and a program coordinator for an educational equity organization. Daria believes that communities are strongest when all people work together to create systems that support their needs, and works as a community organizer to build local power. She has her B.A. in English Literature and American Studies from Rutgers College, her M. Ed. in Special Education from the University of Dayton, achieved National Board Certification, and is a certified Restorative Practices Facilitator through IIRP. Connect with OEA:Email educationmatters@ohea.org with your feedback or ideas for future Public Education Matters topicsLike OEA on FacebookFollow OEA on TwitterFollow OEA on InstagramGet the latest news and statements from OEA hereLearn more about where OEA stands on the issues Keep up to date on the legislation affecting Ohio public schools and educators with OEA's Legislative WatchAbout us:The Ohio Education Association represents nearly 120,000 teachers, faculty members and support professionals who work in Ohio's schools, colleges, and universities to help improve public education and the lives of Ohio's children. OEA members provide professional services to benefit students, schools, and the public in virtually every position needed to run Ohio's schools.Public Education Matters host Katie Olmsted serves as Media Relations Consultant for the Ohio Education Association. She joined OEA in May 2020, after a ten-year career as an Emmy Award-winning television reporter, anchor, and producer. Katie comes from a family of educators and is passionate about telling educators' stories and advocating for Ohio's students. She lives in Central Ohio with her husband and two young children. This episode was recorded on April 14 and 22, 2026...

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.

פרק מספר 514 של רברס עם פלטפורמה - Attack Analytics. בפרק זה רן ואורי מארחים את ד"ר גיא וייזל, Tech Evangelist בחברת Cato Networks, לשיחה מרתקת על האופן שבו בינה מלאכותית משנה את חוקי המשחק בעולם הסייבר. דיברנו על מודלי AI מתקדמים, כיצד הם מאיצים מתקפות של האקרים אך גם משפרים את יכולות ההגנה, ואיך פרוטוקולים עתיקים יכולים להוות נקודת תורפה מסוכנת לתשתיות פיזיות. [00:00] ל"ג בעומר, כנס רברסים ופתיחת הפרק חג שמח! מקליטים על הדרך למדורה של רבי שמעון. עדכונים לגבי כנס רברסים 2026: אנחנו כבר עובדים במרץ ומגייסים ספונסרים לכנס הקהילתי. אם הארגון שלכם מעוניין לתמוך, מוזמנים לשלוח לנו מייל ל-team@reversim.com (או כל וריאציה אחרת שעובדת לכם). קול קורא (CFP) להגשת הרצאות לכנס ייפתח ממש בקרוב. [01:05] הכירו את ד"ר גיא וייזל ואת חברת Cato Networks גיא משמש כ-Tech Evangelist ב-Cato Networks, תפקיד היושב בתפר שבין קבוצות ה-R&D והמוצר לבין עולם השיווק, החדשנות, ועבודת השטח בעולמות הסייבר וה-AI. קצת על קייטו נטוורקס: החברה, המונה כ-1,800 עובדים (עם מרכז פיתוח גדול בתל אביב), חלוצה בקטגוריית ה-SASE (Secure Access Service Edge). הפלטפורמה מספקת איחוד של רשת ואבטחה כשירות בענן - מעין "כיפת ברזל" לסניפים ומשתמשים של ארגונים ברחבי העולם. במקום להסתמך על ריבוי מוצרי נקודה (Point Solutions), הארגון מקבל תמונה מלאה וקונטקסט רחב על הכל תחת פלטפורמה אחת (הכוללת SD-WAN, DLP, CASB, Zero Trust ועוד). [06:07] עידן ה-"Mytus Moment" והשפעת ה-AI על מתקפות סייבר רן מזכיר מודל מיתולוגי ומתקדם ממשפחת Claude של Anthropic שמסוגל לאתר ולנצל פרצות אבטחה ביעילות מפחידה. גיא מתאר את המצב כ-"The Mytus Moment" – סמן לתעשייה על כניסתם של מודלים מתקדמים (מבית אנתרופיק, OpenAI ואחרים) שמייצרים קפיצת מדרגה בעולם התקיפה (ראו גם: Cato joins OpenAI's Trusted Access for Cyber TAC). מה בעצם משתנה בפועל? מתודולוגיות התקיפה עצמן (Reconnaissance, Lateral Movement) נותרו דומות, אך ה-Scale והמהירות צמחו משמעותית. ה-AI מצמצם את זמן התגובה מגילוי ה-Zero-day ועד לניצול בפועל – משבועות וחודשים לשעות או דקות. במקום סריקות גנריות (כמו של Script Kiddies), סוכני AI יודעים כעת לתפור וקטורי תקיפה מותאמים אישית למטרה ספציפית, ולשרשר חולשות (Vulnerability Chaining) כדי להתקדם ברשת בצורה עצמאית וחכמה. [16:04] כשה-Agents חובשים כובע לבן: איך משנים את תפיסת ההגנה בדיוק כפי שתוקפים נעזרים ב-AI, ארגוני הסייבר חייבים לאמץ Agents הגנתיים כדי להתמודד עם קצב האיומים החדש. מעבר ממנגנונים מבוססי חתימות (Signatures) לזיהוי אנומליות ופעילות דינאמית מבוססת קונטקסט מלא של המשתמש והרשת. שינוי דרמטי במדדי ההצלחה (SLA) של צוותי אבטחה: המיקוד עובר מ-Time to Patch (זמן תיקון החולשה). להתמקדות ב-Time to Protect (זמן ההגנה הרציפה בסביבת הריצה). יש חשיבות גוברת ל-Shift Right (הגנה על ה-Production בזמן אמת) ולא רק ל-Shift Left. מלכודות לסוכני AI: מחקר של קייטו חשף את WebPromptTrap – פרצת Indirect Prompt Injection חדשה שמדגימה כיצד תוקפים יכולים לחטוף סוכני AI דרך תוכן זדוני המוטמע באתרים. [18:04] מתקפות על תשתיות פיזיות: הבעיה עם פרוטוקול Modbus Modbus הוא פרוטוקול תקשורת ותיק (משנת 1979) המשמש לבקרי תעשייה (PLC ו-SCADA), המפעילים תשתיות פיזיות כמו סכרים, מערכות אנרגיה סולארית, משאבות וצנטריפוגות. הפרוטוקול נעדר אבטחה בסיסית או הצפנה, ולמרות זאת, בשל תהליכי מודרניזציה או טעויות אנוש, הוא נחשף לעיתים ישירות לאינטרנט. מחקר של קייטו שבוצע לאורך 3 חודשים חשף שרכיבי Modbus ב-70 מדינות (ביניהן ארה"ב, צרפת ויפן) נמצאים תחת מתקפות אמיתיות. אילו סוגי מתקפות נצפו על ידי המערכות? איסוף מידע (Reconnaissance). מתקפות מניעת שירות (DoS) שנועדו למנוע מהמפעילים לשלוט בבקר. זיהוי סוג המערכת (Fingerprinting). ניסיונות אקטיביים של כתיבה ל-Registers (זיהו מתקפות מתשתית סינית) במטרה לשנות פיזית פעולות של חיישנים ומנועים. שילוב של יכולות ה-Agentic AI – שיודעות לזהות בקר פתוח ולשגר אקספלויט תוך שניות – יחד עם המצב הגיאופוליטי המתוח, הופכים את האיום על תשתיות לאומיות לממשי ומהיר יותר מאי פעם. האזנה נעימה!

Svi su danas AI driven. Ili barem tako kažu. No što to zapravo znači kada se ogule slojevi hypea? U novoj epizodi Netokracijinog podcasta “Slažem se / Ne” razgovarali smo s Petrom Dučićem, direktorom inženiringa za Data & AI u Infobipu, Matom Knezovićem, COO-om AGRIVIja, i Goranom Vrapcem, osnivačem brenda Volim ljuto — i otkrili zašto je najiskrenije što je netko rekao: “Moja firma nije AI enabled, nego CEO enabled.”P.S. Imali smo tehničku grešku s mikrofonom voditeljice_______________0:00 Uvod1:01 Zašto većina firmi lažira AI transformaciju i zašto to nije iznenađujuće3:45 Manje alata, ne više — zašto pravi AI eksperti sve svode na jedno18:25 Kraj middle managementa? Koga AI briše iz firme i koga ojačava25:20 "Moja firma nije AI-enabled, ona je CEO-enabled"32:40 AI bez KPI-ja: skupi eksperiment ili nužna faza?40:50 Bez CEO-a koji gura AI sve ostaje na papiru49:00 Gdje AI može naškoditi i tko snosi odgovornost kad pogriješi1:00:00 SaaS apokalipsa: hoće li AI ubiti softverske tvrtke?1:10:00 Što znači biti AI first tvrtka?1:12:00 Greške koje ne trebate ponoviti: što su direktori naučili na svojoj koži_______________

The episode reveals a persistent and widening governance gap as organizations rush to implement AI without adequate data foundations or operational controls. According to observations from Dr. Fern Halper, current AI adoption is overwhelmingly characterized by top-down pressure, especially around generative and agentic AI, but is constrained by immaturity in governance, data integration, and organizational readiness. Microsoft's bundling of Copilot in E7 licenses highlights this structural shift, as “consumerized” AI solutions proliferate without corresponding investments in foundational data and oversight. Supporting this view, new research cited by Dr. Fern Halper indicates that nearly half of organizations are under executive mandates to pursue AI, but most remain stalled in the experimental or pilot phase. The failure to move beyond pilots is not primarily a technology limitation but stems from inadequate data quality, lack of lineage controls, fragmented data governance, and persistent data silos. The report identifies that only about 35–45% of organizations deploying generative or agentic AI have come up through a cycle of machine learning and data foundation development. Secondary examples reinforce the governance and risk exposure. MSPs and end-customers are increasingly relying on off-the-shelf or prebuilt AI (such as Copilot or ChatGPT) for individual productivity, rather than building production-ready, data-driven applications contextualized with proprietary information. This often leads to uncontrolled proliferation of “shadow AI”—tools deployed outside formal oversight—further compounding compliance and data protection risks. As organizations start experimenting with agentic AI, the risks escalate, since these systems not only generate outputs but can take direct action, magnifying the impact of weak governance and access controls. For MSPs, IT service providers, and technology leaders, the operational consequence is heightened responsibility around governance, auditability, and data management. The unchecked spread of shadow AI introduces contractual and regulatory exposure, particularly as clients seek to incorporate AI tools without formal policies or understanding of associated risks. Providers should prioritize baseline governance frameworks, client-facing AI literacy training, and infrastructure capable of accommodating unstructured data, lineage requirements, and auditing. Failing to address these priorities increases the risk of service breakdowns and complicates SLA enforcement as AI systems broaden operational scope. Supported by: JumpCloud HaloPSA Acronis  Upcoming event: The Pivotal Point of IT: Building Services for the AI-First Era  Date: May 13 at 1p.m. EDT  Register: https://go.acronis.com/davesobelaiera

In this episode, Ray Cochrane unpacks Anthropic’s Mythos model and the Treasury’s emergency meetings with Wall Street, then digs into Apple’s vibe-coding crackdown and a gaming-anxiety study that hit way too close to home. Also covered: Verge’s solid-state motorcycle, UBTech humanoid robot sales jumping 23-fold, Japan’s first osmotic power plant, Finland’s permanent nuclear waste vault, Ghostty landing in Ubuntu, Cloudflare’s EmDash CMS, and a Claude Code skill that talks like a caveman. – Want to start a podcast? It’s easy to get started! Sign up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show by framing Anthropic’s new Mythos model as the AlphaGo moment for cybersecurity. From there, the episode moves through Apple’s pushback against AI-generated apps, a gaming anxiety study with a deeply personal hook, a series of “first to ship” energy and robotics wins out of Finland, China, and Japan, and several developer-tool stories that show how quickly the economics of software are shifting. Mythos, the Detection Ceiling, and Wall Street’s Emergency Response Anthropic’s Mythos model has Wall Street rattled. Operating autonomously, Mythos found and demonstrated the exploitation of a 27-year-old TCP SACK bug in OpenBSD, an operating system famous for being one of the most security-focused on the planet. Per Anthropic’s red team, over 99% of the vulnerabilities Mythos has identified remain unpatched. The researchers’ conclusion is blunt: “the moat in AI cybersecurity is the system, not the model.” The policy response moved fast. On April 7th, Treasury Secretary Bessent and Fed Chair Jerome Powell pulled the CEOs of Goldman Sachs, Citi, Bank of America, and Morgan Stanley into Treasury headquarters on short notice. All four banks are now testing Mythos internally. Treasury CIO Sam Corcos is also seeking direct access. Anthropic is gating distribution through Project Glasswing, a limited-access program with JPMorgan, Apple, Google, Microsoft, and Nvidia. Cochrane comes down firmly behind Anthropic’s gated approach. Because a 5.1-billion-parameter open model can apparently recover the core analysis chain for the OpenBSD flaw, this capability is not locked behind Frontier Compute. He wants the critical infrastructure hardened before the public gets keys. However, he also notes the bigger lesson is about human wisdom: people offloading all their thinking to AI lose out on the wisdom that makes any of these tools genuinely useful. Apple Bans Vibe Coding Apps from the App Store Apple has been quietly pushing back against what people are calling “vibe coding” apps. Replit, Vibecode, and an app called Anything all run AI models on the phone and produce working software that runs inside the host app. Apple cites Guideline 2.5.2, in effect since 2017, which requires apps to be self-contained. Replit and Vibecode had their App Store updates blocked. Anything was pulled in late March, briefly restored on April 3rd, and then pulled the same day again. The forcing function is volume. App Store submissions jumped 84% in a single quarter as vibe coding tools flooded Apple’s review queue with AI-generated apps. Cochrane thinks Apple is justified, given the security issues swirling around the Vibe coding ecosystem. Even a beautiful diamond gets lost in a sea of sand, and that flood is exactly what Apple is trying to manage. The company behind Anything is now pivoting to iMessage, desktop, and Android. Playing Video Games to Win Is Linked to Higher Anxiety Cochrane gets personal on this one. Through high school and his early 20s, he was deeply addicted to League of Legends. His dad teased him about it constantly. In the last few years of that addiction, his body would go ice cold and shake every ranked match before. His partner identified it as a panic attack. The moment that happened, he quit. Today, he no longer shakes. The new study lines up with his experience. Researchers Kayleigh Watters and Mikael Rubin at Palo Alto University analyzed a publicly available database of 13,464 adult gamers, most of whom primarily played League of Legends. Players who game to win show higher generalized anxiety but actually play fewer hours, since performance pressure pushes them out. Players who game to relax show strong links between social anxiety avoidance and more hours played. The study appeared in the Journal of Affective Disorders. The headline framing of “playing to win makes you anxious” misses the point. The real finding is more interesting: gaming for avoidance and gaming for competition are both warning signs, for different reasons. Cochrane notes that the League of Legends community’s toxicity has been a running joke for years, and this study suggests the game’s structure may have been manufacturing the anxiety that fueled it. Sponsor: GoDaddy Economy hosting is $6.99/month, WordPress hosting is $12.99/month, and domains are $11.99. Both hosting plans include a free domain, professional email, and SSL certificate. Go to geeknewscentral.com/godaddy for the best pricing and to directly support this independent show. Verge Motorcycle: World’s First Production All-Solid-State Battery Cochrane filled his tank for $60 today, which made this story land especially hard. His mom has driven electric for years and patiently manages a 90-mile real-world range. The next-generation answer is already shipping. Verge Motorcycles, a Finnish company, is the first production vehicle of any kind with an all-solid-state battery. Their 2026 bikes ship in Q1 with a pack from Donut Lab, another Finnish outfit spun out of Verge. The numbers are bonkers. The pack delivers an energy density of 400 Wh/kg, roughly double that of current Tesla cells. It sustains 100kW charging, hits full charge in about 5 minutes in the lab and 12 minutes on the actual bike, and the long-range version covers 600 kilometers (about 370 miles) per charge. Toyota, QuantumScape, and Samsung SDI have all been telling us that solid-state is coming in 2027 to 2030. A Finnish motorcycle company shipping in Q1 2026 just embarrassed them all. UBTech Humanoid Robot Sales Jump 23-Fold UBTech dropped its 2025 annual earnings on April 1st. Humanoid robot revenue hit 820 million yuan, roughly $119 million USD, up 2,203% from 35.6 million yuan the year before. Unit sales went from 3 robots in 2024 to 1,079 in 2025. Shares jumped 14% on the announcement. The customer list is a real industrial deployment: BYD, Foxconn, Geely, FAW-Volkswagen, and Audi. The flagship is the Walker S2, with UBTech targeting 5,000 units in 2026 and 10,000 in 2027. Cochrane is honest about what this means. He does not think we are heading for an extinction event, but worker displacement is a real concern. The US has no universal income or universal healthcare. The people affected are not white-collar managers. They are everyday line workers who already make the least on the ladder. Work efficiency reportedly doubles when these robots arrive, which is a company-side win, but the humans they replace are not getting half a year of gardening leave to retrain. He invites the listener to take on this one directly. Japan Switches On Asia’s First Osmotic Power Plant In August 2025, Fukuoka’s Seawater Desalination Center quietly opened Asia’s first osmotic power facility. It generates about 880,000 kilowatt-hours per year, enough for roughly 220 homes. It is only the second operational osmotic plant in the world, after Mariager, Denmark, in 2023. Osmotic generation uses a salinity gradient: fresh water on one side of a membrane, salt water on the other, and the pressure difference spins a turbine. The clever part is what Fukuoka does with desalination brine. Instead of regular seawater, the plant uses concentrated brine left over from the desalination process. This amplifies the salt gradient and squeezes more energy out of the same membrane. The result is a closed-loop partnership: the desalination facility produces drinking water and leaves brine behind, the osmotic plant turns the brine into electricity, and that electricity runs the desalination facility. Every desalination plant on Earth produces brine, so if Fukuoka’s co-located model works, the same pattern could be replicated across hundreds of plants worldwide. Japan’s Luna Ring Solar Moon Proposal Goes Viral Again Shimizu Corporation’s Luna Ring concept is making the rounds again. The pitch: a 6,800-mile belt of solar panels around the Moon’s equator, beaming microwave power back to Earth. Project lead Tetsuji Yoshida has long argued that a full ring could eliminate fossil fuel dependence entirely. The proposal first surfaced in 2013, has no funding, no government endorsement, and no concrete cost estimate. Shimizu has not put any active development behind it. Cochrane finds the concept fun every time it resurfaces. However, this would have to be a worldwide effort in the truest sense, with treaties, a new generation of launch economics, and microwave power transmission at a scale nobody has demonstrated. Beaming the power back to Earth has always been one of the biggest practical holdbacks. The Luna Ring is inspirational, but not shipping. Finland’s Onkalo Nuclear Waste Vault Opens Finland’s Onkalo facility is the world’s first permanent deep geologic repository for spent nuclear fuel. Operated by Posiva, the facility is buried about 430 meters down in 1.9-billion-year-old bedrock. It is designed to hold up to 6,500 tons of spent fuel and operate until the 2120s. The construction costs about €1 billion, with operating and closure adding roughly €4 billion more before the program is done. The catch is that radioactivity remains dangerous for hundreds of thousands of years. Edwin Lyman, director of nuclear power safety at the Union of Concerned Scientists, warned that the copper canisters will eventually corrode, with different scientific opinions on how fast. Geologic disposal remains “fraught with uncertainties,” and we have never validated an engineered system across a 100,000-year time frame. The bet is that the rock and copper outlast the radioactivity. Cochrane sees Onkalo as time-buying rather than a final answer. It is more of a bank holding spent fuel while science catches up. He prefers it to Japan’s ongoing approach of releasing tritium-treated water from Fukushima Daiichi into the Pacific, even though the dilution is well below WHO drinking water guidelines. Burying the waste in an insurmountable containment strikes him as the more honest answer to a problem nobody knows how to truly solve. Ghostty Terminal Lands in the Ubuntu Repos Ghostty 1.3.0 is now available in Ubuntu 26.04 LTS’s universe repository. The install is simply `sudo apt install ghostty`, no PPAs, no Snap, no Nix, no building from source. Ghostty was created by Mitchell Hashimoto, co-founder of HashiCorp. It is GPU-accelerated, uses native Swift on macOS and native GTK4 with libadwaita on Linux, and supports tabs, splits, profiles, ligatures, and the Kitty graphics protocol. Cochrane recently caught Hashimoto on a podcast, where he walked through his agentic coding workflow. Ghostty is being actively built using AI harnesses like Claude Code and Codex. Hashimoto told a story in which Codex fixed a six-month-old bug in 45 minutes, for a total API cost of $4.14. Personally, Cochrane uses WezTerm, but he is excited to see Ghostty become more widely available with a native UI rather than Electron. Borgo: Rethinking Go Using Rust Analytics India Magazine profiled Borgo, a programming language by developer Marco Sampellegrini (GitHub: alpacaaa). Borgo is statically typed with Rust-like syntax, but it compiles to Go and uses the Go runtime and garbage collector. It includes sum types (Option and Result), pattern matching, and full compatibility with existing Go packages. Notably, it removes Rust’s borrow checker and lifetimes entirely. Borgo is not new. It first appeared on Hacker News in 2023, with a RustLab talk in 2024. The 2026 angle is a renewed look at it through the lens of AI coding agents, since type-rich languages like Rust have been showing outsized productivity gains. Cochrane is a fan of Rust and stands by the borrow checker, but he enjoys these exploratory languages for what they reveal about what developers actually want. Caveman: A Claude Code Skill That Cuts 65% of Tokens Developer Julius Brussee built a Claude Code skill called Caveman that forces Claude to respond in stripped-down fragments. No articles, no “just,” no “really,” no pleasantries, no hedging. The tagline is “why use many token when few token do trick.” Across 10 real dev tasks, Caveman mode averaged 294 tokens per response, compared to 1,214 in normal mode. That is a 65% drop in output tokens. The project is MIT licensed with three intensity levels: lite, full, and ultra. Cochrane stumbled across the project online and shared it with a classmate who had been complaining about token costs. The classmate now insists that “the caveman is the only way to live.” Cochrane has not made the switch, but the bigger point lands. If a community plugin can cut 65% of tokens without correctness regressions, the labs are shipping verbose-by-default and charging users for the privilege. He suspects verbose output makes models feel more trustworthy, even when the token math says otherwise. Cloudflare Launches EmDash as a WordPress Successor Cloudflare released EmDash on April 9th, an open-source, MIT-licensed, TypeScript-based CMS pitched as the spiritual successor to WordPress. The big flex is that it was built in 60 days using AI coding agents. EmDash runs on Astro 6.0, either on Cloudflare’s edge platform or on a standard Node.js server. The plugin security model uses sandboxed Dynamic Workers with explicit permissions, addressing the architecture flaw that Cloudflare says causes 96% of WordPress vulnerabilities. Cochrane could not resist pointing out the irony of the name. The em dash has become the trademark giveaway that an AI was involved in writing. He has reservations about whether EmDash will succeed. WordPress is extremely hard to unseat, plenty of “WordPress killers” have come and gone, and the ecosystem is twenty-plus years deep. He is curious to see what comes next but not optimistic. Google Open-Sources the DESIGN.md Format Google Labs open-sourced the DESIGN.md format used by Stitch, their AI UI design tool. DESIGN.md is a declarative file capturing a project’s design system, colors, typography, and spacing in a way AI agents can read and apply. Cochrane has tried Stitch personally and finds it impressive at producing web designs. He has also seen DESIGN.md-style files already start appearing in repositories. He sees this kind of file becoming a new paradigm for agentic design, alongside robots.txt and llms.txt. However, he worries about a side effect. If everyone uses the same standardized format and the same AI tools, the web could become a homogeneous set of sites that all look the same. He is enthusiastic about the standardization but hopes designers continue to push for genuinely unique work. A 13-Liter PC With a Water Loop Built Into the Case Geeky Gadgets covered a build by “Visual Thinker”, a 13-liter mini-ITX case with custom SLA-printed water distribution plates built directly into the chassis. Instead of traditional soft tubing, plates channel coolant between the CPU and GPU blocks and are sealed with TPU and silicone molds. The case supports a full-size GPU and an SFX power supply. No thermal benchmarks, parts list, or pricing have been published. It is a one-off you cannot buy. Cochrane sees this as a sign of where PC building has gone in 2026. Modern mid-grade GPUs run nearly every recent game, so raw performance is no longer the differentiator. He likes seeing builders lean into design and craft rather than just stuffing the most powerful parts into a box. He admits he is the traditional type and built his own machine to maximize parts, but the design-first direction is a healthy evolution for the hobby. To close out the show, Cochrane recommends Pocket Casts as a podcast app. He finds it picks up new episodes very quickly. Big thanks to GoDaddy for over twenty years of keeping this show on the air, and a reminder that every promo code use is like writing a check to the show. The post Mythos: Cybersecurity’s AlphaGo Moment #1862 appeared first on Geek News Central.

What does it take to modernize healthcare infrastructure when uptime is not just an SLA, but a patient outcome?In this episode, Amir talks with Jeff Sponaugle, CTO of Surescripts, about building and operating mission critical healthcare systems, navigating the move from on premises infrastructure to the cloud, and figuring out where AI can create real value without compromising reliability. It is a sharp conversation on engineering judgment, modernization, workforce evolution, and why technical leadership still needs real technical depth.What stood outCloud migration in healthcare is not just a cost or architecture decision. It is a reliability decision with real downstream impact on patients.The best reliability strategy is not pretending nothing will ever break. It is designing systems so the customer never feels the break.In regulated industries, structure can be an advantage. Standardized data and consistent formats make AI more useful, especially in healthcare.AI can already improve the patient and clinician experience in practical ways, from transcription to summarizing complex records and surfacing relevant context faster.Technical leaders cannot afford to drift too far from the work. Jeff makes the case that strong CTOs stay close enough to the technology to understand the tradeoffs, guide teams well, and spot what matters next.Timestamped Highlights00:00Jeff Sponaugle joins the show to unpack mission critical technology in healthcare, cloud migration, AI, and workforce upskilling.01:57Why Surescripts sits in a critical layer of healthcare, and why reliability matters when prescriptions need to move in real time.04:02A simple but powerful view of reliability: things will break, but the customer should not know they broke.06:47How to adopt new technology without risky hard cutovers, and why parallel systems matter in high stakes environments.08:53Upskilling legacy teams, preserving tribal knowledge, and why continuous learning matters more than any single technical skill.11:58How regulation can actually help AI in healthcare by creating more consistency in the data.17:33Where AI and agentic systems could create meaningful value in prescribing, diagnostics, and clinical workflows.20:29Why AI has changed executive and boardroom conversations in a way cloud migration never did.A line worth remembering“The customer should not know that something broke.” Pro TipsIf you are modernizing a high stakes platform, avoid the big overnight cutover. Run systems in parallel where possible and learn behind the scenes before customers ever feel the change.If you lead technical teams, do not treat upskilling as a one time event. Give people a path to split time between legacy work and emerging systems so the transition is real and sustainable.If you are evaluating AI in a regulated environment, start with narrow, useful workflows where context, speed, and summarization matter, then expand from there.Stay connectedIf you enjoyed this episode, follow the show, subscribe wherever you listen, and share it with someone building in healthcare, cloud infrastructure, or AI. You can also connect with Amir on LinkedIn for more conversations at the intersection of technology, leadership, and the future of work.

The episode identifies a structural shift in the MSP business model: security is no longer a discrete service or line item but has become the organizing principle for operations and accountability. This is driven by an industry-wide trend toward increased automation in both attack and defense, as well as a shift in liability and accountability from vendors to the MSPs themselves. Companies such as Acronis and Anthropic are highlighted for introducing tools that increase the rate and automation of threat discovery, while research and market analysis by Watchguard and Jay McBain indicate that the capacity to remediate, rather than discover, security threats now forms the operational bottleneck. The most consequential development referenced is the acceleration of security automation and vulnerability discovery, specifically through Anthropic's Project Glasswing and Watchguard's reporting of a 1,500% surge in new endpoint malware variants. Anthropic's approach—limiting broad release of its model due to potential misuse for rapid exploitation—was supported by partnerships with cloud and technology firms like AWS, Apple, Google, and Microsoft, backed by up to $100 million in usage credits. Watchguard's data demonstrates that while threat discovery is increasing, the rate of remediation has not kept pace, creating a supply-demand imbalance in skilled security operations. Further reinforcing this trend, Acronis has promoted a 24x7x365 Managed Detection and Response (MDR) tool positioned to let MSPs deliver always-on monitoring without managing a full security operations center. Meanwhile, broader channel and delivery ecosystem analysis by Jay McBain emphasizes that partners, rather than platform vendors, bear primary responsibility for steady-state customer environments. This confluence of developments shifts the value—and the risk—onto the operational capabilities and governance structures of MSPs. Other referenced solutions, such as Zero Networks' microsegmentation, underscore that containing damage, not just preventing access, is a new business imperative. The operational implication for MSPs and IT providers is a shift from measuring security by tools deployed to measuring and pricing security by demonstrated remediation throughput. Service contracts will need to specify not only what solutions are deployed, but also explicit commitments on response times, closure rates, and SLA-backed operating motions. A lack of clear remediation commitments raises unpriced liability as discovery rates outpace closure capacity. Providers are encouraged to separate vulnerability discovery reporting from remediation progress, build reporting layers that highlight closure rates, and reconsider flat-fee models that do not account for increased operational workloads and accountability risks. 00:00 Closure Is Finite 04:10 Close the Gap 06:32 Govern or Absorb 08:57 Why Do We Care?  Supported by:  Zero Networks ScalePad 

Depuis qu'elle essaye de comprendre la violence de sa mère, Chloé de Broca n'en finit pas de se reconnaître coupable de son mal. Qu'est-ce que ça fait de grandir en se pensant responsable de la violence de sa mère ? Et comment sortir de cette culpabilité ?Dans cette série documentaire en 3 épisodes, Chloé de Broca donne la parole à d'autres femmes qui ont eu une mère violente et s'interrogent sur leur propre maternité. Marquées par la violence dans l'enfance et la domination adulte, ces femmes racontent les chemins — parfois tortueux — pour tenter de briser la transmission de ce qu'elles pensent être une malédiction dans leur lignée de femmes. Des témoignages sur un aspect encore tabou des violences intrafamiliales, de la maltraitance infantile et des peurs liées à la maternité. Comment guérir du mal de sa mère, quand la relation mère-fille a été construite sur la peur, la culpabilité et la honte ?Dans cet épisode du Mal de mère, Chloé de Broca tend son micro à Anne et sa fille Mathilde*, Mary et Clara*. Elles racontent des histoires de liens mère-fille coupés ou transformés, après avoir eu une mère violente. Avec les analyses de la sociologue Coline Cardi, qui codirigé avec Geneviève Pruvost le livre collectif Penser la violence des femmes et de la psychologue clinicienne et psychothérapeute, Hélène Romano, autrice de Quand la mère est absente. Souffrance des liens mère-enfant.*les prénoms ont été modifiésLa série est déjà disponible en intégralité sur Louie + Sans pub. Sans attendre. Sinon rendez-vous le 8 avril pour écouter le dernier épisode.

The Tim Conway Jr. Show Hour 1 (3.25) Tim Conway Jr. kicks off the hour with the excitement around the Dodgers’ season opener on Thursday, plus highlights from Savannah Guthrie’s first interview with Hoda Kotb and a look back at the unforgettable Patty Hearst kidnapping by the SLA. Then, Tim dives into a major legal ruling as a jury finds YouTube and Meta must pay $3 million for negligence after a young girl became addicted to social media in a landmark verdict that could have huge implications moving forward. Also on the show, Puka Nacua responds to a woman’s claim that he made an antisemitic comment, while admitting that biting her was just “horseplay,” and Tim breaks down the all-too-relatable vacation nightmare of arriving at your hotel only to find out your reservation has been overbooked. #TimConwayJr #Dodgers #SavannahGuthrie #HodaKotb #PattyHearst #SocialMedia #YouTube #Meta #PukaNacua #TravelNightmare #HotelOverbooked #KFIAM640 See omnystudio.com/listener for privacy information.

With the increasing incidence of colorectal cancer in those less than 50 years of age, one must wonder how many patients present with a Stage IV diagnosis. Take a deep dive with us discussing the management of metastatic colorectal cancer by joining our team and guests, Drs. Cathy Eng, Michael D'Angelica, and Nina Sanford.Hosts: - Dr. Janet Alvarez - General Surgery Resident at New York Medical College/Metropolitan Hospital Center- Dr. Wini Zambare – General Surgery Resident at Weill Cornell Medical Center/New York Presbyterian- Dr. Philip Bauer, Assistant Professor of Surgery, Division of Colon and Rectal Surgery, The Ohio State University Wexner Medical Center, Arthur G. James Cancer Hospital-  Dr. J. Joshua Smith MD, PhD, Chair, Department of Colon and Rectal Surgery at MD Anderson Cancer Center Guest Speakers:- Dr. Michael D'Angelica MD, FACS – Hepatopancreatobiliary Surgery, Memorial Sloan Kettering Cancer Center, Enid A. Haupt Chair in Surgery, Vice Chair, Education- Dr. Cathy Eng MD, FACP - Division of Hematology and Oncology, Vanderbilt-Ingram Cancer Center, David H. Johnson Endowed Chair in Surgical and Medical Oncology, Professor of Medicine, Hematology and Oncology, VICC Associate Director for Strategic Relations and Research Partnerships, Executive Director, Young Adult Cancers Program - Dr. Nina Sanford, MD – Radiation Oncology, UT Southwestern Medical Center, Chief of Gastrointestinal Radiation Oncology Service, Associate Professor Learning Objectives:1.     Review the epidemiology, prognosis, and common metastatic patterns of metastatic colorectal cancer (mCRC).2.     Discuss the role of systemic chemotherapy and targeted therapies in the first- and subsequent-line treatment of mCRC, including the impact of molecular biomarkers such as MSI/MMR, RAS, BRAF, and HER2.3.     Evaluate the indications and timing of surgical and locoregional therapies for metastatic colorectal cancer, particularly in patients with liver-limited or oligometastatic disease.4.     Describe the multidisciplinary management of mCRC, including the roles of radiation therapy, systemic therapy sequencing, and palliative interventions to optimize outcomes and quality of life.References:Singh, M., Morris, V. K., Bandey, I. N., Hong, D. S. & Kopetz, S. Advancements in combining targeted therapy and immunotherapy for colorectal cancer. Trends Cancer 10, 598–609 (2024). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/38821852/Napolitano, S. et al. BRAFV600E mutant metastatic colorectal cancer: Current advances in personalized treatment and future perspectives. Cancer Treat. Rev. 134, (2025). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/40009904/Ciardiello, F. et al. Clinical management of metastatic colorectal cancer in the era of precision medicine. CA. Cancer J. Clin. 72, 372–401 (2022). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/35472088/Kim, S. Y. & Kim, T. W. Current challenges in the implementation of precision oncology for the management of metastatic colorectal cancer. ESMO Open 5, e000634 (2020). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/32188714/Biller, L. H. & Schrag, D. Diagnosis and Treatment of Metastatic Colorectal Cancer: A Review. JAMA 325, 669–685 (2021). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/33591350/Smith, J. J. et al. Genomic stratification beyond Ras/B-Raf in colorectal liver metastasis patients treated with hepatic arterial infusion. Cancer Med. 8, 6538–6548 (2019). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/31503397/Saadat, L. V. et al. Hepatic Artery Infusion Chemotherapy Compared to Transarterial Radioembolization For Unresectable Colorectal Liver Metastases. Ann. Surg. 10.1097/SLA.0000000000006851 doi:10.1097/SLA.0000000000006851. PubMed Link: https://pubmed.ncbi.nlm.nih.gov/?term=10.1097/SLA.0000000000006851 (Linked via DOI search as the direct PMID is still indexing)Xiao, A. & Fakih, M. KRAS G12C Inhibitors in the Treatment of Metastatic Colorectal Cancer. Clin. Colorectal Cancer 23, 199–206 (2024). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/38825433/André, T. et al. Pembrolizumab in Microsatellite-Instability–High Advanced Colorectal Cancer. N. Engl. J. Med. 383, 2207–2218 (2020). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/33264544/Morris, V. K. et al. Treatment of Metastatic Colorectal Cancer: ASCO Guideline. J. Clin. Oncol. 41, 678–700 (2023). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/36252154/Xu, Z. et al. Treatments for Stage IV Colon Cancer and Overall Survival. J. Surg. Res. 242, 47–54 (2019). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/31071604/Smith, J. J. & D'Angelica, M. I. Surgical Management of Hepatic Metastases of Colorectal Cancer. Hematol. Oncol. Clin. North Am. 29, 61–84 (2015). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/25475573/Strickler, J. H. et al. Tucatinib plus trastuzumab for chemotherapy-refractory, HER2-positive, RAS wild-type unresectable or metastatic colorectal cancer (MOUNTAINEER): a multicentre, open-label, phase 2 study. Lancet Oncol. 24, 496–508 (2023). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/37142372/Kruijssen, D. E. W. van der et al. Upfront resection versus no resection of the primary tumor in patients with synchronous metastatic colorectal cancer: the randomized phase III CAIRO4 study conducted by the Dutch Colorectal Cancer Group and the Danish Colorectal Cancer Group. Ann. Oncol. 35, 769–779 (2024). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/38852675/Hitchcock, K. E., Romesser, P. B. & Miller, E. D. Local Therapies in Advanced Colorectal Cancer. Hematol. Oncol. Clin. North Am. 36, 553–567 (2022). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/35562258/Hitchcock, K. E. et al. Alliance for clinical trials in Oncology (Alliance) trial A022101/NRG-GI009: a pragmatic randomized phase III trial evaluating total ablative therapy for patients with limited metastatic colorectal cancer: evaluating radiation, ablation, and surgery (ERASur). BMC Cancer 24, 201 (2024). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/38350888/Adam, R. et al. Liver transplantation plus chemotherapy versus chemotherapy alone in patients with permanently unresectable colorectal liver metastases (TransMet): results from a multicentre, open-label, prospective, randomised controlled trial. The Lancet 404, 1107–1118 (2024). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/39306468/Elez, E. et al. Encorafenib, Cetuximab, and mFOLFOX6 in BRAF-Mutated Colorectal Cancer. N. Engl. J. Med. 392, 2425–2437 (2025). PubMed Link: https://pubmed.ncbi.nlm.nih.gov/40444708/***Fellowship Application Link: https://forms.gle/QSUrR2GWHDZ1MmWC6Please 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:General 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-audio-reviewColorectal Surgery Oral Board Review Course: https://behindtheknife.org/premium/colorectal-surgery-oral-board-audio-reviewSurgical Oncology Oral Board Review Course: https://behindtheknife.org/premium/surgical-oncology-oral-board-audio-reviewCardiothoracic Oral Board Review Course: https://behindtheknife.org/premium/cardiothoracic-surgery-oral-board-audio-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

Before Patty Hearst appeared as an actress in John Waters' movies, she captivated America on the silver screen as a hostage terrorized by the Symbionese Liberation Army. When the newspaper heiress was kidnapped by the radical organization in 1974, the country sympathized with her plight. But after just a few months, the SLA's guns weren't pointing at Patty anymore. Suddenly, Patty was firing her own weapons during fistfights and bank robberies as a member of the same terrorist group that once kept her locked in a closet. In court, Patty claimed she was brainwashed and that she played along for her own safety. It's true that Patty Hearst gave the performance of a lifetime — but we still don't know which part of her life was the performance. This episode contains themes that may be disturbing to some listeners, including graphic depictions of violence. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoicesSee omnystudio.com/listener for privacy information.

Before Patty Hearst appeared as an actress in John Waters' movies, she captivated America on the silver screen as a hostage terrorized by the Symbionese Liberation Army. When the newspaper heiress was kidnapped by the radical organization in 1974, the country sympathized with her plight. But after just a few months, the SLA's guns weren't pointing at Patty anymore. Suddenly, Patty was firing her own weapons during fistfights and bank robberies as a member of the same terrorist group that once kept her locked in a closet. In court, Patty claimed she was brainwashed and that she played along for her own safety. It's true that Patty Hearst gave the performance of a lifetime — but we still don't know which part of her life was the performance. This episode contains themes that may be disturbing to some listeners, including graphic depictions of violence. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices