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Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Leonard S. Graham. Social Security disability advocate, Leonard S. Graham joined Rushion McDonald on Money Making Conversations Master Class to explain how Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI) really work, who qualifies, and how misconceptions prevent people—especially within the Black community—from receiving benefits they are legally entitled to. Graham has over 35 years of experience assisting clients nationwide with disability claims, appeals, and hearings. The conversation sheds light on the disability process, eligibility, the appeals system, the role of advocates vs. attorneys, and the importance of education, honesty, and persistence in navigating Social Security.
Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Leonard S. Graham. Social Security disability advocate, Leonard S. Graham joined Rushion McDonald on Money Making Conversations Master Class to explain how Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI) really work, who qualifies, and how misconceptions prevent people—especially within the Black community—from receiving benefits they are legally entitled to. Graham has over 35 years of experience assisting clients nationwide with disability claims, appeals, and hearings. The conversation sheds light on the disability process, eligibility, the appeals system, the role of advocates vs. attorneys, and the importance of education, honesty, and persistence in navigating Social Security.
Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Leonard S. Graham. Social Security disability advocate, Leonard S. Graham joined Rushion McDonald on Money Making Conversations Master Class to explain how Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI) really work, who qualifies, and how misconceptions prevent people—especially within the Black community—from receiving benefits they are legally entitled to. Graham has over 35 years of experience assisting clients nationwide with disability claims, appeals, and hearings. The conversation sheds light on the disability process, eligibility, the appeals system, the role of advocates vs. attorneys, and the importance of education, honesty, and persistence in navigating Social Security.
Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Leonard S. Graham. Social Security disability advocate, Leonard S. Graham joined Rushion McDonald on Money Making Conversations Master Class to explain how Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI) really work, who qualifies, and how misconceptions prevent people—especially within the Black community—from receiving benefits they are legally entitled to. Graham has over 35 years of experience assisting clients nationwide with disability claims, appeals, and hearings. The conversation sheds light on the disability process, eligibility, the appeals system, the role of advocates vs. attorneys, and the importance of education, honesty, and persistence in navigating Social Security.
Dr. Purvi Sevak, Senior Director of Mathematica's Disability Practice, joins the DEP RRTC's Let's Get to Work podcast hosted by Dr. Peter Blanck, University Professor and Chairman of the Burton Blatt Institute at Syracuse University and Principal Investigator of the DEP RRTC. Dr. Sevak discusses her path from an undergraduate student studying health policy to her work at Mathematica, the evolution and importance of disability employment policy, and her research with the DEP RRTC examining how local infrastructure affects employment opportunities for people with disabilities. Drawing on both professional and personal experiences, Dr. Sevak highlights the importance of disability employment policy to the broader economy. “Making sure that everyone who wants to work can work and contribute is important,” she states. “If people with disabilities are employed and earning more than they could be making on SSI, they're going to be spending more money and just contributing to the local economy, buying more things, renting apartments.”
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
American Journal of Infection Control: Science Into Practice
Can artificial intelligence transform the way healthcare systems detect surgical site infections? Join us for a special episode of AJIC: Science Into Practice featuring our first international guest, Dr. Salma Abbas from the Shaukat Khanum Memorial Cancer Hospital and Research Centre in Lahore, Pakistan, as we explore innovative research comparing five large language models with traditional SSI surveillance methods. Learn how AI-driven tools demonstrated high diagnostic accuracy and showed promise in supporting infection prevention efforts by reducing the burden of manual chart review while improving the efficiency and scalability of surveillance. From the future of AI in infection prevention to the importance of global innovation in healthcare epidemiology, tune in for a conversation on how this work from Pakistan could help shape the next generation of SSI surveillance worldwide. With special guest: Salma Abbas, MD, MPH, Infectious Diseases and Internal Medicine Physician, Shaukat Khanum Memorial Cancer Hospital & Research Centre
Dylan and Max talk Alaska dreams, Southwest's new nonstop to Anchorage, lake lodge podcast fantasies, and Max's brave decision to bypass the discounted Marriott burger for Yemeni cuisine. In the Mailbag, listener Elijah checks in with a unique path back into aviation after the Air Force and a decade away from flying. For Flight Advice, the guys break down why using the GI Bill for PC-12 initial training, single-engine ATP currency, and an Alaska 135 strategy might actually be a no-brainer. Also: meta glasses, janky gravel strips, and potential tax treatment for baklava. TankerBot - Try out the beta version of the Dylan's Tankering Calculator! NewYorkTurk - NYC Food Reviews Show Notes 0:00 Intro 3:55 Max's Musings: Sitting Reserve 15:21 MD-11: PSE vs SSI 27:35 Airports & Tangents 32:37 Special Announcement: Tankering Calculator 35:25 Spirit Comments 41:59 Comments & Reviews 55:16 AI & Mailbag 1:09:35 Flight Advice Our Sponsors Tim Pope, CFP® — Tim is both a CERTIFIED FINANCIAL PLANNER™ and a pilot. His practice specializes in aviation professionals and aviation 401k plans, helping clients pursue their financial goals by defining them, optimizing resources, and monitoring progress. Click here to learn more. Also check out The Pilot's Portfolio Podcast. Advanced Aircrew Academy — Enables flight operations to fulfill their training needs in the most efficient and affordable way—anywhere, at any time. They provide high-quality training for professional pilots, flight attendants, flight coordinators, maintenance, and line service teams, all delivered via a world-class online system. Click here to learn more. Raven Careers — Helping your career take flight. Raven Careers supports professional pilots with resume prep, interview strategy, and long-term career planning. Whether you're a CFI eyeing your first regional, a captain debating your upgrade path, or a legacy hopeful refining your application, their one-on-one coaching and insider knowledge give you a real advantage. Click here to learn more. The AirComp Calculator™ is business aviation's only online compensation analysis system. It can provide precise compensation ranges for 14 business aviation positions in six aircraft classes at over 50 locations throughout the United States in seconds. Click here to learn more. Vaerus Jet Sales — Vaerus means right, true, and real. Buy or sell an aircraft the right way, with a true partner to make your dream of flight real. Connect with Brooks at Vaerus Jet Sales or learn more about their DC-3 Referral Program. Harvey Watt — Offers the only true Loss of Medical License Insurance available to individuals and small groups. Because Harvey Watt manages most airlines' plans, they can assist you in identifying the right coverage to supplement your airline's plan. Many buy coverage to supplement the loss of retirement benefits while grounded. Click here to learn more. VSL ACE Guide — Your all-in-one pilot training resource. Includes the most up-to-date Airman Certification Standards (ACS) and Practical Test Standards (PTS) for Private, Instrument, Commercial, ATP, CFI, and CFII. 21.Five listeners get a discount on the guide—click here to learn more. ProPilotWorld.com — The premier information and networking resource for professional pilots. Click here to learn more. Feedback & Contact Have feedback, suggestions, or a great aviation story to share? Email us at info@21fivepodcast.com. Check out our Instagram feed @21FivePodcast for more great content (and our collection of aviation license plates). The statements made in this show are our own opinions and do not reflect, nor were they under any direction of any of our employers.
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
Send us Fan Mail On this week's episode, we bring in the main man from SSI (Speed Shop Inc). We dive into all different aspects of SSI and talk through everything from tuning and testing to what it takes to stay competitive in cross country racing. A great behind-the-scenes look into one of the best performance shops in the sport. Support the show
In een nieuwe aflevering van CHICKSTALK duiken host Michline Plukker en de chicks Nikki, Doris, Leonida, Kayleigh, Raouane in een urgent en actueel thema: seksuele straatintimidatie in Rotterdam Delfshaven. Hoe veilig voelen vrouwen zich op straat? En weten zij waar ze dit kunnen melden? De meiden gaan de wijk in, spreken bewoners en onderzoeken hoe seksuele straatintimidatie wordt ervaren in Delfshaven. Hoewel sommige bewoners aangeven zich overdag veilig te voelen, blijkt dat veel vrouwen hun gedrag aanpassen en sommige plekken liever vermijden. In de studio schuift Léontine Verberg aan, case manager en forensisch verpleegkundige bij Centrum Seksueel Geweld, een organisatie in Nederland waar slachtoffers van seksueel geweld gratis hulp, medische zorg, psychologische ondersteuning en advies kunnen krijgen. Samen bespreken zij hoe en waar Seksuele Straatintimidatie gemeld kan worden. Deze aflevering laat zien hoe ingrijpend seksuele straatintimidatie kan zijn en waarom het belangrijk is om er niet mee te blijven rondlopen. Heb je hiermee te maken? Praat erover, zoek hulp en weet dat je er niet alleen voor staat. Hieronder vind je de belangrijkste, direct beschikbare hulpbronnen in Nederland PolitieBel 112 bij direct gevaar of acute dreiging op straat.Bel 0900-8844 (politie) om aangifte te doen van straatintimidatie. Bewijs (zoals getuigen of camerabeelden) is erg belangrijk. Centrum Seksueel GeweldVoor acute (medische of psychische) opvang en advies na seksueel geweld of intimidatie. Bereikbaar via 0800-0188 (24/7, gratis) of bezoek het Centrum Seksueel Geweld. Slachtofferhulp NederlandBiedt emotionele ondersteuning, juridisch advies en hulp bij het doen van aangifte. Bel 0900-0101 of bekijk de Hulp na seksuele intimidatie pagina. StopApp RotterdamMet de StopApp van de gemeente Rotterdam kun je SSI vanaf nu eenvoudig, veilig en anoniem melden. Je download de app hier voor Android en hier voor Apple.
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
At an ACT-IAC panel on moving from fragmented to frictionless, unified customer experiences, SSA's Michelle Liu explains SSA's Service Index, a framework and catalog mapping services across online, phone/IVR, and in-person channels to customer journeys, data, and processes to identify dead ends, gaps, and priorities. She illustrates friction with an SSI address-change journey that fails online and in IVR, forcing repeat intent/authentication and eventual field-office completion, and shows how the index supports channel parity, policy review (e.g., questioning unnecessary in-person SSI return-to-U.S. requirements), call routing, content alignment, and LLM-based call categorization (e.g., why customers call for tasks available online). Voyagers Program | ACT-IAC A Hell of a Regiment: To Gettysburg and Beyond with the Twentieth Maine | ACT-IAC Summary - A Hole in One with ACT-IACSubscribe on your favorite podcast platform to never miss an episode! For more from ACT-IAC, follow us on LinkedIn or visit http://www.actiac.org.Learn more about membership at https://www.actiac.org/join.Donate to ACT-IAC at https://actiac.org/donate. Intro/Outro Music: See a Brighter Day/Gloria TellsCourtesy of Epidemic Sound(Episodes 1-159: Intro/Outro Music: Focal Point/Young CommunityCourtesy of Epidemic Sound)
Como transformar interações em vendas nas redes sociais? O que diferencia uma marca que só posta de outra que sabe criar conversas que aumentam afinidade, melhoram a experiência do cliente e geram conversão? Neste episódio do Papo Social Media, Rafael Kiso e Marcio Silva mostram por que o marketing conversacional se tornou uma das estratégias mais importantes para marcas, negócios e profissionais de mídias sociais. A conversa parte de dados sobre confiança, afinidade, tempo de resposta e social selling, além de explicar como usar comentários, DMs, automações e relacionamento para vender mais com inteligência.Descubra como funcionam as conversas que convertem, por que responder rápido faz diferença na percepção do cliente, como usar o social selling de forma estratégica, quais são os 4 Rs do marketing conversacional e quais erros mais prejudicam marcas na hora de atender, nutrir leads e transformar interações em receita.00:00:01 Introdução00:00:24 Dados sobre a importância das conversas00:00:59 Afinidade no Instagram: como inbox e respostas aumentam a entrega00:01:45 Comentários, gatilhos de automação e uso estratégico da afinidade00:02:37 Como conversas aumentam receita e tornam a venda mais consultiva00:04:47 Marketing conversacional como tendência e o papel da conversa na jornada de compra00:06:06 Social selling: por que vendedores que usam essa estratégia performam melhor00:06:52 O que é social selling na prática00:07:45 Relacionamento e reciprocidade antes da venda00:09:04 O perfil nas redes sociais como praça pública00:10:43 SSI do LinkedIn: os 4 pilares do social selling – Acesse: https://mla.bs/c71b25dc00:10:23 1º: Seu perfil profissional e o quanto você está se estabelecendo profissionalmente00:11:45 2º: Se você está localizando as pessoas certas00:12:23 3º: Interagir com intenção00:13:18 4º: Relacionamento por inbox00:13:38 Aplicação da lógica do SSI em outras plataformas00:14:37 Rede social é ambiente social: participar da conversa vale mais que só postar00:15:52 Postar mais ou interagir mais? O erro dos “achistas”00:16:58 B2B e personalização: entender necessidades aumenta conversão00:17:43 Comentários como porta de entrada para leads qualificados00:18:40 Como puxar a conversa do comentário para o inbox sem soar invasivo00:19:50 Tempo de resposta: a nova expectativa do consumidor00:20:39 Gerações, paciência digital e a urgência por respostas00:22:07 O perfil social como loja: por que não responder rápido custa caro00:22:52 Automação, IA e priorização inteligente no atendimento00:23:23 mLabs Chat: Automações em comentários, inbox, tagueamento de perfis00:23:57 Atendimento nas redes sociais e a lógica de um mercado00:25:27 Níveis avançados de automatização no atendimento00:27:52 Método dos 4 Rs das conversas que convertem00:28:07 1 - Receber: mapear canais, entradas e tipos de interação00:29:25 2 - Responder rápido: rotina, prioridade e tempo de resposta00:29:50 SLA: acordos de tempo, processo e autonomia nas respostas00:32:05 Como a mLabs organiza canais, níveis de prioridade e alertas00:36:30 3 - Resolver: responder não basta, é preciso solucionar00:38:30 4 - Reaproveitar: transformar conversas em dados, conteúdo e inteligência00:41:20 Erros comuns: ignorar comentários pequenos e sinais de interesse00:42:30 Responder só elogios e ignorar críticas00:42:45 Quando ocultar ou excluir comentários é aceitável00:43:56 Comentários ofensivos00:45:16 Outros erros: não medir tempo de resposta e não separar comercial de suporte00:47:00 A importância de integrar histórico, atendimento e times00:48:59 Contexto, histórico e inteligência para próximas abordagens00:49:44 Marketing conversacional e o papel do WhatsApp00:50:41 Convite para comentar dúvidas sobre marketing no WhatsApp00:51:28 EncerramentoPotencialize sua gestão de mídias sociais com a plataforma mais usada por agências e profissionais no Brasil! Teste grátis a mLabs agora mesmo: https://mla.bs/8f82d839
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
Solo el 10% del reciclaje en Chile es real. El otro 90% ¿es una ilusión colectiva?. En este episodio del Club de la Sustentabilidad hablamos con Alejandra Kopaitic, directora ejecutiva del Pacto Chileno de los Plásticos de Fundación Chile, sobre la brecha entre lo que creemos que hacemos y lo que realmente pasa con los residuos.Lo que abordamos:— Por qué existe una falsa sensación de reciclaje— El mayor problema no es la infraestructura: es cultural— ¿Realmente se recicla lo que separas?— El rol de las personas vs las empresas— Qué debería cambiar urgente como paísSi te interesa la sostenibilidad sin maquillaje, este capítulo es para ti.
Episode 128: In today's episode, Calloway County social security disability attorney Jeff Roberts discusses common "speed bumps" that can arise after a Social Security disability claim has been decided. He advises why these issues require prompt attention rather than panic. One significant challenge is the Continuing Disability Review (CDR), where the Social Security Administration evaluates whether a recipient remains disabled. Another common hurdle is a notice of overpayment, which often results from earnings or workers' compensation offsets. These may be resolve by disputing a factual error or seeking a financial hardship waiver. Relocation can also disrupt a claim by changing the assigned hearing site or affecting state-based benefits like Medicaid for SSI recipients. Jeff encourages anyone facing these issues to contact an experienced attorney, noting that his firm provides "small town service with big city results" from offices in Murray and Hopkinsville. We hope you found this episode insightful and helpful. Thank you for listening! What Do Other Clients Think About Jeff? We always encourage listeners to read the Google Reviews Jeff Roberts has received from many of his clients. A 5-Star rating and the comments are earned recognition and demonstrate Jeff's commitment to his clients. As a solo attorney, he has more Google Reviews than some firms with multiple attorneys. Jeff shares the credit with his staff at the Roberts Law Office. Successfully representing injured clients is a team effort. It's why Jeff likes to say his firm offers "Small Town Service with Big City Results." Jeff Roberts Represents Injured Clients Throughout Kentucky With offices located in Calloway County (Murray) and now in Christian County (Hopkinsville), Jeff has a history of representing personal injury clients, workers' compensation clients and social security disability clients across the state. He's represented clients from Paducah, Bowling Green, Louisville, Covington, Whitesville and many other Kentucky locations. He's not just a Western Kentucky injury attorney. Is It Time to Speak with an Attorney about Your Social Security Disability Claim? The office phone number is (270) 753-0053 or toll free at 800-844-5108. For more information, visit www.JeffRobertsLaw.com. This podcast is meant to provide information and is not legal advice. Jeff's principal office is located at 509 Main Street, Murray, Kentucky. Co-host Jim Ray is a non-attorney spokesperson. This is an advertisement.
This is a panel discussion, and the participants are:Arnie Arnesen, Lincoln Mitchell, Stephen Pimpare, Bill Scher.The topics covered are:- The Veterans Administration, its importance and fate under Trump- The Senate race in Maine- The race in Michigan= Southern states are redistricting, under the assumption that race is no longer important, per SCOTUS ruling- New voting districts in Texas, and their effects for local elections- Likely voter suppression in 2028- Trump's push to reduce benefits for SSI and SS- Who benefits from the Iran war: China, Russia, the oil producers- Post-Trump: what will be next for America? WNHNFM.ORG productionMusic: "That's How Every Empire Falls, " John Prine
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
In this episode of the He Said, She Said: Razor Branding™ Podcast, Jaci and Michael sit down with Michelle Herl, Vice President of Marketing at SOR Controls Group, to talk about what it really takes to build a marketing function from the ground up inside a mid-size industrial manufacturer – and keep it growing for more than 25 years. Michelle shares how she started with no office, no budget, and catalogs hanging from wires, and turned it into a seat at the leadership table. She also breaks down how SOR manages a house of brands across three distinct product lines – SOR, SSi, and SENSOR – and why educating your internal team on brand structure matters just as much as reaching customers. From building a strategic planning system that keeps the one pager club at bay, to winning over the CFO by watching the bottom line like a marketer who actually cares about money, this conversation is full of real-world lessons for anyone trying to make marketing matter in a complex B2B environment. Key Takeaways Getting the house in order before going to market is essential, especially in manufacturing and industrial B2B Earning a seat at the leadership table takes time, but it starts with proving that marketing drives strategy, not just tactics Managing a house of brands requires consistent internal education across sales teams, partners, and leadership A structured planning system with clear priorities keeps marketing focused and protects the team from reactive one-off requests Building trust with finance means watching expenses, questioning invoices, and showing that marketing is accountable to the bottom line Differentiating through people, not just products, creates authentic brand moments that competitors cannot replicate Listen wherever you get your podcasts or at razorbranding.org
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
#709: Keith Wargo has spent decades navigating one of the most daunting financial planning challenges a family can face: raising a child with a developmental disability. He joins us to share what families need to know. The financial stakes are significant. Keith, who is the CEO of Autism Speaks, estimates lifetime care costs for a person with a developmental disability can run between $1.4 and $2.4 million - and that figure may be conservative. Yet many families put off financial planning because the day-to-day demands of caregiving leave little room for anything else. One of the first things Keith walks us through is the federal benefits system. Medicaid and SSI are the primary lifelines for many families, but qualifying takes time - for Keith's family, it took three years of meetings and paperwork. There's also a critical detail: SSI requires the individual to have no more than $2,000 in assets in their name. A well-intentioned inheritance from a grandparent can wipe out eligibility overnight. That's why Keith recommends a special needs trust for most families. Assets held in the trust don't count against federal benefit limits. He also recommends pairing the trust with a "second to die" life insurance policy - one that pays out after both parents are gone - to help fund it. ABLE accounts round out the toolkit. Similar to a 529 plan, they allow tax-free contributions of up to $20,000 per year for a person with a qualifying disability. The funds cover everyday expenses like food, transportation, and entertainment. Unused 529 funds can also be rolled into an ABLE account, up to $20,000 per year. Keith also addresses trustee succession - who manages the money after the parents are gone, and who steps in after that person. His advice: start building a network early, revisit the plan every few years, and bring siblings into the financial conversation sooner than feels necessary. Timestamps: Note: Timestamps will vary on individual listening devices based on dynamic advertising run times. The provided timestamps are approximate and may be several minutes off due to changing ad lengths. (00:00) The Financial Reality of Developmental Disabilities (02:00) Caregiving's financial toll on families (03:41) Keith's background (04:26) His son AJ's diagnosis and journey (07:08) Rights and services end at age 22 (08:06) Medicaid, SSI, and SSDI explained (14:12) The $2,000 asset limit for SSI eligibility (14:33) Why special needs trusts matter (16:04) Life insurance as a funding tool (23:08) Planning two retirements simultaneously (25:04) ABLE accounts - the basics (27:06) ABLE account balance limits by state (36:35) Employment opportunities for neurodiverse workers (42:11) Fraud and safety risks to be aware of (51:15) Trustee succession planning (53:22) Rolling 529 funds into ABLE accounts Learn more about your ad choices. Visit podcastchoices.com/adchoices
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
English Edition: Say hi to the new fellows of the Software Sustainability Institute (SSI) - Anne Lee Steele, Cass Gould van Praag, Samantha Ahern and Sara Villa. In this episode they tell us all about the plans for their fellowship. And it covers a wide range, as you will hear.Links:https://www.software.ac.uk/fellowship-programme/anne-lee-steele Anne-Leehttps://www.software.ac.uk/fellowship-programme/cassandra-gould-van-praag Casshttps://www.software.ac.uk/fellowship-programme/samantha-ahern Samanthahttps://www.software.ac.uk/fellowship-programme/sara-villa I'd like to thank the SSI for supporting this show. Don't forget there is the Collaborations Workshop, organised by the SSI, coming up at the end of April: 28-30 April 2026 in Belfast. Get in touchThank you for listening! Merci de votre écoute! Vielen Dank für´s Zuhören!Contact Details/ Coordonnées / Kontakt:Email mailto:peter@code4thought.orgUK RSE Slack (ukrse.slack.com): @code4thought or @piddie Bluesky: https://bsky.app/profile/code4thought.bsky.socialLinkedIn: https://www.linkedin.com/in/pweschmidt/ (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile)This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
VOV1 - Hôm qua 8/4 theo giờ Việt Nam, Tổ chức định hạng tín nhiệm quốc tế là FTSE Russell đã chính thức xác nhận giữ nguyên lộ trình nâng hạng Thị trường Việt Nam từ Cận biên lên Mới nổi Thứ cấp.Đây là một nội dung tại Báo cáo kết quả rà soát giữa kỳ trong khuôn khổ kỳ đánh giá phân loại thị trường chứng khoán toàn cầu tháng 3/2026 của tổ chức này. Việc phân bổ cổ phiếu Việt Nam vào các rổ chỉ số đầu tư của FTSE chính thức triển khai từ tháng 9 năm 2026.Bà Nguyễn Ngọc Anh, Tổng giám đốc Công ty Quản lý quỹ SSI nhìn nhận: Chúng ta nhìn thấy trong một năm vừa qua, tăng trưởng mở tài khoản hơn 50% và số lượng nhà đầu tư mở tài khoản không chỉ là ở Đông Á mà mở rộng ra từ Mỹ ở các quốc gia phát triển. Và tất cả những trao đổi của họ tối thiểu là vài trăm triệu đô cho đến vài tỷ đô… Và tôi nghĩ rằng từ nay cho đến tháng 6, chúng ta vẫn tiếp tục nhìn thấy tất cả các quỹ lớn, các quỹ toàn cầu đang tập trung mở tài khoản ở Việt Nam để đón đầu cho việc nâng hạn thị trường.Ảnh minh họa
Foster youth advocates will testify Wednesday in support of a bill protecting Supplemental Security Income and Survivor Benefits for those in the foster care system. Survivor benefits are intended to support children who have lost a parent, and SSI supports foster youth with disabilities. Current practice allows counties to use these funds to reimburse foster care costs.Minnesota's electrical grid is in the midst of a massive expansion. Renewable energy advocates and utilities say new transmission lines are needed to make the grid more reliable. Xcel says that the proposal will face a lengthy environmental review, and they likely won't break ground until 2030.
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
Hoy te guiamos con afirmaciones para ayudarte a soltar el estrés del día y conectar con un descanso profundo. Un espacio para recordarte que descansar también es cuidarte y que mereces pausar.A lo largo de estos 4 años de Durmiendo Podcast, hemos compartido episodios que les han ayudado muchísimo. Por eso, hoy traemos de vuelta las herramientas que más han resonado con ustedes y que les han acompañado a cerrar su día con calma
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Leonard S. Graham. Social Security disability advocate, Leonard S. Graham joined Rushion McDonald on Money Making Conversations Master Class to explain how Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI) really work, who qualifies, and how misconceptions prevent people—especially within the Black community—from receiving benefits they are legally entitled to. Graham has over 35 years of experience assisting clients nationwide with disability claims, appeals, and hearings. The conversation sheds light on the disability process, eligibility, the appeals system, the role of advocates vs. attorneys, and the importance of education, honesty, and persistence in navigating Social Security.
►Copy chiến lược tích lũy tài sản của Trịnh Công Hòa: https://tiencuatoi.vn/hoi-vien-icopy-tich-san-co-phieu-ben-vung► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670► Top những công cụ tài chính hữu ích: https://tiencuatoi.vn/top-nhung-cong-cu-tai-chinh-ca-nhan-huu-ichCác công cụ tài chính hữu ích► Mở tài khoản đầu tư tài sản tại công ty chứng khoán Techcombank (TCBS) hoàn toàn online tại: https://iwp.tcbs.com.vn/105C041670 ►Mở tài khoản đầu tư công ty chứng khoán SSI: https://www.ssi.com.vn/khach-hang-ca-nhan/mo-tai-khoan?mgm=NA3Z ; Mã giới thiệu: HOATC► Tích lũy quỹ đầu tư chủ động qua Fmarket: https://fmarket.vn/refpartner/FC325488►Đăng ký tham gia nhóm học tập tích lũy tài sản: https://tiencuatoi.vn/hoi-vien-tich-luy-tai-san► Đăng ký học cách quản lý dòng tiền thông minh: https://tiencuatoi.vn/hoc-cach-quan-ly-dong-tien-thong-minh► Đăng ký nhận Mini eBook
WUWM speaks with Sharol Britton, a Milwaukee resident on SSI who's been sheltering this winter in her van.
Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Leonard S. Graham. Social Security disability advocate, Leonard S. Graham joined Rushion McDonald on Money Making Conversations Master Class to explain how Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI) really work, who qualifies, and how misconceptions prevent people—especially within the Black community—from receiving benefits they are legally entitled to. Graham has over 35 years of experience assisting clients nationwide with disability claims, appeals, and hearings. The conversation sheds light on the disability process, eligibility, the appeals system, the role of advocates vs. attorneys, and the importance of education, honesty, and persistence in navigating Social Security.
VOV1 - Từ mức tăng rất tốt 1,25% thời điểm cuối đợt khớp lệnh liên tục, VN-Index bất ngờ bổ nhào về sát tham chiếu do một số cổ phiếu lớn bị ép giá mạnh. Tuy chỉ số đóng cửa tăng rất ít nhưng cổ phiếu lại có sự phân hóa và khởi sắc hơn nhiều so với phiên sáng.Trong phiên giao dịch hôm qua, VnIndex nhiều lần tăng mạnh rồi lại giám điểm với biến động có lúc lên đến 40 điểm, cuối cùng đóng cửa chỉ tăng nhẹ trên mức tham chiếu. Tuy nhiên, diễn biến của VN-Index được đánh giá là do bị tác động mạnh từ cổ phiếu VIC nên chưa phản ánh đúng giao dịch chung.Về thanh khoản, cổ phiếu SHB dẫn đầu về khối lượng khớp lệnh, tiếp sau là SSI, BSR và STB. Với kết quả đóng cửa phiên chiều qua, thị trường chứng khoán nước ta sẽ mở cửa phiên giao dịch sáng nay, với chỉ số VN-Index khởi động từ 1.713,83 điểm, HNX-Index bắt đầu ở 247,78 điểm, còn UpCoM-Index là 124,86 điểm./. Diễn biến của VN-Index bị tác động mạnh từ VIC, không phản ánh đúng giao dịch của cổ phiếu.
Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Leonard S. Graham. Social Security disability advocate, Leonard S. Graham joined Rushion McDonald on Money Making Conversations Master Class to explain how Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI) really work, who qualifies, and how misconceptions prevent people—especially within the Black community—from receiving benefits they are legally entitled to. Graham has over 35 years of experience assisting clients nationwide with disability claims, appeals, and hearings. The conversation sheds light on the disability process, eligibility, the appeals system, the role of advocates vs. attorneys, and the importance of education, honesty, and persistence in navigating Social Security.
PRESENTED BY: CONCRETE LOGIC ACADEMY Practical education and ongoing development for concrete professionals at every stage of their career. Join here: https://www.concretelogicacademy.com/Superflat concrete floors didn't just appear overnight.They evolved through decades of trial, error, and innovation.In this episode of the Concrete Logic Podcast, Chad White from Structural Services Inc. (SSI) returns to explain how the industry went from checking floors with a 10-foot straightedge to producing high-tolerance floors for robotics, automated warehouses, and high-bay storage systems.Chad has more than 40 years of experience in concrete construction, starting as a cement mason apprentice before running his own company and later becoming a senior concrete consultant with SSI. He has worked on defined-traffic superflat floors, random-traffic high-tolerance slabs, suspended slabs, and industrial floor systems across the country.We talk about how the means and methods have changed, what actually defines a “superflat” floor, and why today's demands for automation and robotics are pushing tolerances tighter than ever.If you've ever wondered how contractors actually hit FF, FL, and F-min numbers, this episode explains the real-world process behind it.WHAT YOU'LL LEARN· What actually qualifies as a superflat concrete floor· How floors were measured before the F-number system· Why laser screeds and float pans changed everything· The difference between defined-traffic (F-min) and random-traffic floors· Why robotics and automated warehouses are demanding flatter floors· Where most grinding corrections occur on high-tolerance slabs· Why slump consistency and placement rate matter more than exotic mix designs· How laser scanning and real-time data could change floor flatness control in the futureCHAPTERS00:00 Introduction and episode overview02:40 Early methods for measuring floor flatness05:15 How superflat floors started in warehouse logistics08:40 Measuring FF, FL, and F-min floors12:00 The history of the F-number system16:30 How superflat floors were built in the 1980s22:00 Bump cutting and manual finishing methods28:30 Profilographs and corrective grinding31:00 High-tolerance random traffic floors34:00 Laser screeds and float pans change the industry37:00 Modern methods for producing flatter floors39:00 Mix design considerations for superflat slabs42:00 The future of floor flatness measurementGUESTChad White Structural Services Inc. (SSI)https://www.concretelogicpodcast.com/guests/chad-white/CONCRETE LOGIC ACADEMYIf you enjoy the educational side of the podcast, check out the Concrete Logic Academy.The Academy takes topics from the podcast and turns them into structured learning courses with quizzes and supporting material. Many courses qualify for PDHs and CEUs for engineers and industry professionals.Learn more here:https://www.concretelogicacademy.comSUPPORT THE PODCASTIf the Concrete Logic Podcast has helped you learn something new or connect with someone in the industry, consider supporting the show.Donate here:https://www.concretelogicpodcast.com/supportLooking for great hunting gear: https://www.concretelogicpodcast.com/kuiuInterested in advertising or media services? seth@concretelogicpodcast.comCREDITSProducers: Scott Reed, Jodi Tandett, Concrete Logic MediaMusic by Mike Duntonhttps://www.mdunton.com/WHERE TO FIND SETHWebsite: https://www.concretelogicpodcast.comLinkedIn: https://www.linkedin.com/in/sethtandett/YouTube: https://www.youtube.com/@concretelogicpodcastUntil next time, let's keep it concrete!
Controls engineers are surrounded by protocols. Proprietary protocols are less common today than before, but they are still around. In this episode, written by contributing editor Tobey Strauch, Editor-in-Chief Mike Bacidore discusses how to choose between Ethernet IP and SSI.
Fêter 30 ans d'amour à Paris. Rire, chanter, célébrer.Et quelques heures plus tard, se retrouver seule, au milieu de la nuit, dans une chambre d'hôtel.Aujourd'hui, je reçois Corinne.Corinne a perdu son mari, brutalement, une nuit d'été. Une bascule foudroyante après plus de 30 ans d'une vie construite à deux, d'un couple complice, vivant, créatif, d'un amour qui ne s'était pas usé.Dans cet épisode, Corinne me raconte cette nuit irréelle où tout s'arrête.Ce moment où son corps sait avant sa tête.Cette marche à l'aube dans une ville encore vide.Ce sentier de Bretagne, qu'elle quitte sans réfléchir, et ce mot qui surgit : “interrompu”.Bienvenue dans un épisode bouleversant.Aujourd'hui, avec Corinne, nous allons parler d'un selfie pris quelques heures avant l'irréparable, d'une traversée de nuit les pieds dans la boue, et de cette petite voix qui, même au cœur du chaos, murmure encore : avance.En savoir plus : le livre "Traversée - du deuil à la lumière" de Corinne Gérard Lizon aux éditions AmalthéeRÉSUMÉ DE L'ÉPISODE AVEC CORINNE00:00 Fêter 30 ans d'amour à Paris et célébrer une vie à deux encore vibrante 03:35 Une nuit d'été à l'hôtel et ce moment où le corps comprend avant la tête 10:19 Les secours, l'hôpital et l'irréalité des premières heures 15:55 Organiser la cérémonie et écrire la vie d'avant 18:08 La Bretagne, marcher pour rester vivante et ce mot qui surgit : interrompu 21:10 Le long chemin du deuil et l'importance d'accueillir les émotions 24:40 Quitter la maison familiale et chercher un sas entre deux vies 26:39 La traversée de nuit dans la baie du Mont-Saint-Michel 28:48 Marcher sur les crêtes, tenir malgré la peur et retrouver l'élan 35:25 Reconstruire sa vie, oser être heureuse et transformer l'absence en forcedeuil • veuvage • mort brutale • perte du conjoint • traversée du deuil • reconstruction après un décèsSi vous aimez La petite voix, je compte sur vous pour laisser des commentaires, des étoiles ✨ et des bonnes notes sur votre plateforme de podcast préférée. Merci
Manager Minute-brought to you by the VR Technical Assistance Center for Quality Management
VR burnout isn't about caring too little. It's about caring so much… while buried in documentation. In this episode of Manager Minute, VR counselor Stephanie Nelson shares how she built VocRehabTools.com — a free collection of smart, practical tools (both AI-powered and non-AI) designed to give counselors their time back.
Hoy reflexionamos sobre cómo muchas personas construimos personajes para encajar y protegernos. Hablamos de la importancia de no juzgar a partir de las apariencias y de darnos el tiempo para conocer la historia real de quien tenemos enfrente.–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:Crear espacios seguros para mostrarnos vulnerablesDarnos permiso de ser personas auténticasRecordar que solo conocemos una parte mínima de la vida de los demásSi quieres conocer más de Despertando Podcast síguenos en nuestras redes sociales:
Hoy conectamos con el amor propio desde un lugar honesto y compasivo. Recordamos que el amor más constante y seguro que podemos construir es el que nace de elegirnos, escucharnos y tratarnos con la misma ternura que damos a quienes amamos.–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 se ve el amor propio en la vida realConectar contigo para entender qué necesitas hoyElegirte como prioridad sin dejar de abrirte al amor de los demásSi quieres conocer más de Despertando Podcast síguenos en nuestras redes sociales:
Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're
Bienvenue dans le débrief complet du Supercross de Houston 2026 avec toute l'équipe de DV Talks Moto !
Ready to prepare your students for the real world? Michelle Burrows helps the Owl Pellet Crew digest vital research on integrating Socioscientific Issues (SSI) like climate change, GMOs, and food security into school-based agricultural education! Discover why these complex, multi-perspective topics are essential for building critical thinking and discussion skills. We'll explore how SSI-based instruction boosts content knowledge, scientific reasoning, and argumentation. Get ready for actionable classroom strategies on presenting multiple viewpoints and facilitating open debates, empowering you to guide students to be informed problem solvers and engaged citizens. Journal article: https://jae-online.org/index.php/jae/article/view/2752
My name is Aziel. I'm 23. I'm transgender and I have a neuromuscular disease called spinal muscular atrophy type two. Basically means that my brain doesn't sing the signals for my body to do certain things like walk, roll over on my side you know simple things that a lot of people don't typically think about they just do. Because of my neuromuscular disease it means I require a lot of care and because my family is older they're able to care for me in the home without 244/7 care but once you turn 21 you lose that and you go to only 76 hours or less a week. So I live in a nursing home, unless I can find a caregiver that's willing to be my caregiver full-time I have to live here. Living in a nursing home also means that I don't have much money to myself at all. I only get to keep $30 of my SSI every month. Unless someone sends money to my Cash app, which isn't a lot, but when I do get some, it does help me get what I need.
Hoy te damos los mejores tips para cerrar ciclos de forma consciente, agradecer por lo vivido y abrir espacio para lo nuevo. Una invitación a soltar con amor lo que ya cumplió su propósito.–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:Dejar ir lo que ya no es para ti y hacer espacio para nuevas cosasSaber decir adiós a tiempoDarnos permiso de vivir la tristeza que viene con el adiósSi quieres conocer más de Despertando Podcast síguenos en nuestras redes sociales:
The Forgotten Realms Gold Box series is a set of AD&D computer role-playing games developed by SSI using the Gold Box engine. Beginning with Pool of Radiance in 1988, the series allowed players to carry a single party of characters across four connected adventures set in the Forgotten Realms. These games established many conventions of computer RPGs, including turn-based tactical combat, party management, and faithful implementations of tabletop Dungeons & Dragons rules. Hosted on Acast. See acast.com/privacy for more information.
AI models feel smarter than their real-world impact. They ace benchmarks, yet still struggle with reliability, strange bugs, and shallow generalization. Why is there such a gap between what they can do on paper and in practiceIn this episode from The Dwarkesh Podcast, Dwarkesh talks with Ilya Sutskever, cofounder of SSI and former OpenAI chief scientist, about what is actually blocking progress toward AGI. They explore why RL and pretraining scale so differently, why models outperform on evals but underperform in real use, and why human style generalization remains far ahead.Ilya also discusses value functions, emotions as a built-in reward system, the limits of pretraining, continual learning, superintelligence, and what an AI driven economy could look like. Resources:Transcript: https://www.dwarkesh.com/p/ilya-sutsk...Apple Podcasts: https://podcasts.apple.com/us/podcast...Spotify: https://open.spotify.com/episode/7naO... Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures](http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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