Podcasts about palo alto

Fifteen years ago, Eric Ries handed a generation of founders a playbook. When Eli was in a Palo Alto-based startup accelerator in 2011, The Lean Startup felt like the only book anyone in that ecosystem was talking about. It was in the middle of a wildly optimistic moment for tech. Marc Andreessen declared that “software is eating the world,” social media was blooming, and there was a widespread belief that technology was about to democratize everything and bring us closer together. Concepts like the MVP (“minimum viable product,”), the pivot, and build-measure-learn became the operating language of Silicon Valley. This is a preview of a premium episode. Listen to the full interview on our Substack: https://designbetterpodcast.com/p/eric-ries But a lot of the companies built on those ideas went on to get corrupted by forces Eric hadn't yet named. His new book, Incorruptible: Why Good Companies Go Bad and How Great Companies Stay Great, is his reckoning with what happens after you build something great — and how to keep it from falling apart. Buy the book In this conversation, we get into why speed itself wasn't the problem, but treating a rising stock price as proof of health is like assuming more exhaust means a faster car. Eric explains why doing the right thing 100% of the time is actually easier than doing it 98% of the time, and how companies behave like superorganisms with their own emergent character — a point he illustrates with a genuinely mind-bending study about ants solving a puzzle that no single ant ever could. We talk about the “harder is easier” principle through stories from Patagonia and the long-term stock exchange he built as a design challenge, and why the value a company makes comes from the design of its products. And because we couldn't resist, we get into AI slop, LLM psychosis, and Eric's clear, simple antidote: never ask these tools to make you an artifact — ask them to teach you how to make one yourself. Bio Over the last two decades, Eric Ries's ideas about continuous innovation, long-term thinking, governance, and market reform have reshaped company building and management practices. He is the creator of the Lean Startup method, and the author of the New York Times bestseller The Lean Startup; The Leader's Guide; and The Startup Way. As a founder, he has put his own ideas into practice with The Long-Term Stock Exchange (LTSE); Answer.AI, an AI R&D lab; the Lean Startup Co, which teaches and supports the implementation of Lean Startup; Virgil, a legal services startup; and IMVU, where the ideas that became the Lean Startup method were forged. On his podcast, The Eric Ries Show, he talks to guests including world-class technologists, thought leaders, and executives working to build profitable companies for the long-term benefit of society. Eric has served as an entrepreneur-in-residence at Harvard Business School and IDEO. He lives in the San Francisco Bay Area with his wife and three children. *** Premium Episodes on Design Better This is a premium episode on Design Better. We release two premium episodes per month, along with two free episodes for everyone. New premium subscriber benefit: we've launched a private Slack workspace…join now to connect with designers, product leaders & creative practitioners in our community. And get a behind-the-scenes pass to every episode with The Roundup, where each week we bring you insights and actionable tactics from recent episodes. Premium subscribers get access to the documentary Design Disruptors and our growing library of books. You'll also get access to our monthly AMAs with former guests, ad-free episodes, discounts and early access to workshops, and our monthly newsletter The Brief that compiles salient insights, quotes, readings, and creative processes uncovered in the show. And subscribers at the annual level now get access to the Design Better Toolkit, which gets you major discounts and free access to tools and courses that will help you unlock new skills, make your workflow more efficient, and take your creativity further. Upgrade to paid Visiting the links below is one of the best ways to support our show: Masterclass: MasterClass is the only streaming platform where you can learn and grow with over 200+ of the world's best. People like Steph Curry, Paul Krugman, Malcolm Gladwell, Dianne Von Furstenberg, Margaret Atwood, Lavar Burton and so many more inspiring thinkers share their wisdom in a format that is easy to follow and can be streamed anywhere on a smartphone, computer, smart TV, or even in audio mode. MasterClass always has great offers during the holidays, sometimes up to as much as 50% off. Head over to http://masterclass.com/designbetter for the current offer. Learn more about your ad choices. Visit megaphone.fm/adchoices

Blablabla at Gamble Garden Palo Alto, tourist at home

In 1776 — that same year America declared its independence — Adam Smith published the equally revolutionary The Wealth of Nations, his founding explanation of national economic value. Two hundred and fifty years later, Tim O'Reilly argues in the free-market Economist that Elon Musk and his fellow tech barons are building a monarchical form of capitalism that the proto-democratic Smith would have hated. Musk, O'Reilly reports, believes that SpaceX will become “worth more than the rest of Earth”. The merchants are becoming princes, O'Reilly warns. And the rest of us are becoming peasants. Such is the road to serfdom in our AI age. So who should own the AI in our bewildering age of multi-trillion dollar start-ups like SpaceX, Anthropic and OpenAI? Or as That Was The Week publisher Keith Teare asks in his latest editorial, who should own the “intelligence” of our AI age? Keith uses a bottling plant as a metaphor to describe our dilemma. Since no single entity can own this intelligence — the sum total of our common experience — charging us for it would be like seizing the Earth's water supply and selling it back to us, Coca-Cola style, in plastic bottles. Except that the Hayekian Keith approves of the bottling process. Private companies, rather than governments, he argues, are most suited to doing this. For Keith, this dilemma is also an opportunity to redistribute the ownership of intelligence. He argues for a “Human Wealth Fund” into which every consequential AI company should put a slice of its equity. In the manner of Norway's sovereign wealth fund, this fund would be distributed to all citizens. Rather than Denmark, now we should become like Norway, a tiny homogenous nation with a cultural distaste for Muskian individual wealth. Not very realistic, I fear. On top of that, it's hard to imagine our tech princes collaborating on anything. Musk and Altman aren't on speaking terms while Altman and Amodei, who also loathe each other, are focused on their IPOs. Meanwhile, the Trump administration, which presumably would coordinate this fund, is pitching a $100,000-a-month fast feed of the president's posts. Keith's question, “who owns the intelligence”, is the right one. But the answer won't come from trickle-down funds set-up by our tech princes. Such supposed munificence is about as likely as America becoming Norway. Read the fine print of any “Human Wealth Fund” set up by Sam Altman and Elon Musk. As we should know all too well by now, when a “revolutionary” Silicon Valley gives stuff away, it turns out to be exorbitantly expensive. Free plastic bottles of intelligence, anyone? Five Takeaways •       Intelligence, Not AI. The week's framing shift: the word AI is too small, because AI is merely the tool for harvesting and delivering the thing itself — intelligence, the sum total of our common human experience. Keith argues the renaming is not semantic but political: the moment intelligence sits at the center of the discussion, everyone's opinion has to be shaped by what it actually is, and the idea that any single entity could own it starts to look as bizarre as owning the world's water supply. Andrew's rejoinder: they're still just words — though he concedes intelligence is the better one. •       Bottled Intelligence Is Good — The Question Is Who Benefits. Keith refuses the critic's role: bottling intelligence, like Google's bottling of the world's words into search, is a good thing, because only massively capitalized private companies can innovate at that scale — and between private entities and governments as owners of intelligence, he'll take the companies every time. What's wrong is the distribution of the benefits. Even insiders are complaining: Alex Karp is publicly angry at OpenAI and Anthropic's pricing, while China's Kimi K3 — released the day of recording and, Keith claims, better than Claude Fable — signals that very good models are about to get very cheap. •       Capitalism Adam Smith Would Hate. Tim O'Reilly argues in The Economist that Musk and his type are building a capitalism Smith would despise — founders as monarchs, a point Henry Farrell reinforces with a slide from Peter Thiel's startup class placing the king of a monarchy and the founder of a startup side by side. Keith's response is characteristically unsentimental: Smith would have hated everything since the Federal Reserve, and the founder-king structure — Larry and Sergey's voting shares, Zuckerberg's special rights, corporations bigger than countries with user bases bigger than China — is simply the stage of capitalism we're at. The question is whether there's a path from here to somewhere better. •       The Human Wealth Fund. Keith's path comes in two versions: government-down, a sovereign wealth fund holding AI equity for every citizen; or company-up, the AI companies voluntarily endowing a global fund — and it only takes one to move first, because everyone else would have to react. His proxy is Norway, where every citizen benefits from ownership — not payouts, ownership — in the oil fund; AI revenues, unlike Norwegian oil, could eventually drive most of a doubled global GDP. His critique of the Brynjolfsson economists' much-signed statement is that “must act now” is vacuous: he'd have added a point four naming the actual mechanism. •       The Bet. Andrew's counter-case: Musk and Altman loathe each other, the mob hates AI so thoroughly that no pro-AI politician can survive, the states from Newsom's California to Florida are embracing nothing, New York just enacted the first data center moratorium, and the founders — eyes on their IPOs — are in the pockets of the banks. Hence the wager: 5% of the Teare Wealth Fund says no Human Wealth Fund this year, and none in the twenties. Keith declined the bet, on principle: he's an advocate, and only through advocacy does public opinion change. As Andrew put it: keep fighting the good fight — maybe one of the crazy ideas will stick. About the Guest Keith Teare is the founder and editor of the That Was The Week tech newsletter, and Andrew's weekly co-host. A British-born Silicon Valley entrepreneur and investor, he was a co-founder of TechCrunch and runs the Palo Alto–based venture firm SignalRank. He and Andrew have been arguing about technology — productively — every week for years. References: •       That Was The Week — Keith's newsletter; this week's editorial argues that the word AI is too small, and that the central question of the age is who owns intelligence. •       Tim O'Reilly in The Economist — on Elon Musk building a form of capitalism that Adam Smith would hate, quoting Musk's claim that SpaceX will become worth more than the rest of the Earth. •       Henry Farrell — the big tech critic's companion piece, featuring the slide from Peter Thiel's startup class that plac...

Cybersecurity investor Sid Trivedi of Foundation Capital joins me to dig into AI SOC valuations, services-as-software, moats, and what founders should know heading into Black Hat.Sid is a Partner at Foundation Capital, where he invests at the seed and Series A stage with a focus on cybersecurity and IT infrastructure. This is our annual pre-Black Hat check-in, and a lot has moved since last year, from massive M&A to record-setting rounds in categories like the AI SOC.In this episode:- What has actually changed a year into the AI wave, and what hasn't- Services-as-software, the $4.6 trillion market thesis, and automating cyber workflows across the SOC, IR, pen testing, and threat intel- What AI means for cybersecurity jobs and how practitioners should adapt- Consolidation vs. best-of-breed after Palo Alto's $25B CyberArk deal and Alphabet's $32B Wiz acquisition- AI SOC valuations, including Seven AI's record Series A and Torq crossing a $1B valuation- The double-edged sword of big raises and why founders should be cautious about the valuations they accept- Why you can't simply spend your way to growth in cybersecurity- Moats and defensibility when frontier labs can push into your category- The Black Hat Innovator Investor Summit and the Startup Spotlight competitionChapters:0:00 Intro0:52 What's changed a year into the AI wave2:42 Services-as-software and the AI SOC9:38 AI adoption and forward deployed engineers10:57 M&A, platformization, and best-of-breed14:17 IT and security convergence, plus AI SOC valuations18:48 Seed-stage risk calculus vs. later-stage investors21:43 The double-edged sword of big raises26:20 Why you can't spend your way to growth29:05 Moats and defensibility in the frontier-lab era32:25 Deal flow, pricing, and staying disciplined37:06 Black Hat Innovator Investor Summit40:17 Startup Spotlight competition43:28 Wrap-upBlack Hat is offering listeners $500 off registration with code USA500Resilient.Connect with Sid:LinkedIn: https://www.linkedin.com/in/siddhanttrivedi/Foundation Capital: https://foundationcapital.comResilient Cyber: https://www.resilientcyber.ioSubscribe for more conversations with security practitioners, founders, and leaders.

Motoring Historian Jon Summers examines claims that electric vehicles frequently catch fire, drawing on a Society of Automotive Engineers talk in Palo Alto by Dr. Abid Kemal of Exponent, a firm known for major failure investigations. He says vehicle fires have halved since 1980 and usually involve 10–20-year-old cars, while EVs appear 5–10 times less likely to burn than ICE vehicles, though their fires can occur later—on tow trucks or weeks in yards—because stranded battery energy remains after a crash. He explains thermal runaway: a weak cell heats from charge cycles, damages neighbors, melts plastics, boils electrolyte, generates oxygen, and can ignite in milliseconds, with severity influenced by state of charge. Examples include the 2021 Chevy Bolt battery recall and GM's 80% charge limit, shipping policies under 50% charge, and the need for firefighter and tow-industry training. ===== (Oo---x---oO) ===== 00:00 EV Fire Panic 02:36 Conspiracy Claims 04:22 What The Data Says 05:07 Why EV Fires Differ 07:41 Who Is Exponent? 08:24 A Quick EV History 11:53 Inside Battery Packs 14:49 Thermal Runaway Explained 19:53 Charge Level Risks 22:39 Recalls And Real Cases 23:37 Final Takeaways  ==================== The Motoring Podcast Network : Years of racing, wrenching and Motorsports experience brings together a top notch collection of knowledge, stories and information. #everyonehasastory #gtmbreakfix - motoringpodcast.net More Information: Visit Our Website Become a VIP at: Patreon Online Magazine: Gran Touring Follow us on Social: Instagram Jon Summers is the Motoring Historian. He was a company car thrashing technology sales rep that turned into a fairly inept sports bike rider. On his show he gets together with various co-hosts to talk about new and old cars, driving, motorbikes, motor racing, motoring travel. Copyright Jon Summers, The Motoring Historian. This content is also available via jonsummers.net. This episode is part of the Motoring Podcast Network and has been republished with permission.

Ieri IBM ha perso quasi il 25% del suo valore in una sola seduta, registrando il peggior giorno di borsa della sua storia moderna. Com'è possibile che un peggioramento delle stime di appena il 3% sui risultati preliminari del Q2 2026 produca un crollo simile? In questo video analizziamo la matematica delle aspettative e il meccanismo della doppia contrazione (utili e multipli) che spiega questo crollo. Vediamo dove si stanno spostando davvero i budget IT delle aziende — tra Semiconduttori (Nvidia, Micron) e Cybersecurity (CrowdStrike, Palo Alto) — e come il rilascio del modello "Mythos" di Anthropic abbia congelato la spesa nel software tradizionale. Infine, analizziamo i dati per capire se a 217$ IBM sia una "value trap" o un'opportunità di acquisto in vista degli earnings ufficiali del 22 luglio. Disclaimer: contenuto informativo ed educativo, non consulenza finanziaria personalizzata. Gli strumenti citati possono essere presenti nel mio portafoglio personale, societario o in portafogli modello. La disclosure aggiornata con ticker/ISIN, strumenti citati, eventuali posizioni e data di aggiornamento è disponibile qui: https://www.marcocasario.com/disclaimer/Vai su https://www.shopify.com/it e scopri come iniziare con Shopify in pochi minuti. Learn more about your ad choices. Visit megaphone.fm/adchoices

KPFA Theatre Critic Richard Wolinsky reviews “The Employee Dhama Handbook: a world premiere play by Geetha Reddy at TheatreWorks Lucie Stern Theatre in Palo Alto through August 2, 2026.       TEXT OF REVIEW Discrimination comes at you in many ways. Racial bigotry. Religious fanaticism. Gender and disabled bias. Homophobia. Fat-shaming, agism. The list lengthens as you expand to other cultures. There's the whole tribal thing too. Then there's the caste system from India. Banned in 1950, it still lives on under the surface.Explaining caste in detail takes too long, but some jobs simply can't go to members of one caste or another. The Brahmin are on top; Dalits at the bottom. But has the system spread to America, and if it has, how does it manifest? That question, and the relationship of that particular bias to the caste system of corporations lies at the heart of The Employee Dharma Handbook, a new play by Geetha Reddy, at TheatreWorks in Palo Alto through August 2nd. The focus is on a handful of workers at a fictional aerospace company; they're building a rocket to Jupiter, and if it all works out, the whole crew will become rich. But Leela, a young Indian scientist born in the U.S., has just been passed over by her boss, Khrish, for an important promotion that instead went to another Indian, Baasu, who himself understands it should have gone to Leela. If this isn't resolved, there is no team. Enter Val, the black HR director, no stranger to bias herself, investigating the matter. Was the problem Leela's gender? Or something else? Khrish is Brahmin,. So is Baasu. Leela is not. No, no, says Khrish, it's not like that at all. But maybe it is. The Employee Dharma Handbook often doesn't know what kind of play it wants to be. Serious critique? Farce? Comedy-drama? The capitalism and caste dichotomy unclear. The comedy not as funny as it needs to be. 

As a world premiere it needs work. But the elements are there. Each character, at one point or other, becomes facilitator, accuser, victim, winner and loser. The cast handles the role switching well, particularly Kathryn Smit-McGlynn as Val and Kunal Dudhecker as Baasu. As the relationships twist and turn, we see a playwright at the top of her game.. There comes a point toward the end where The Employee Dharma Handbook goes off the rails, and in order to make a point, the characters become pawns of the playwright. Still, the play is often a thoughtful, funny, and very original ride with hopefully a bright future. The Employee Dharma Handbook by Geetha Reddy plays at TheatreWorks Lucie Stern Theatre in Palo Alto, and for more information, you can go to theatre works.org. Im Richard Wolinsky on Bay Area theatre for KPFA.   The post Review: “The Employee Dharma Handbook” at TheatreWorks Palo Alto appeared first on KPFA.

El mito de que los algoritmos están destruyendo el empleo juvenil se desmorona ante la realidad, de acuerdo con un reporte de la OCDE, revelando que la AI se ha convertido en el chivo expiatorio de una economía global debilitada y de un déficit crónico de infraestructura digital.  En este episodio también encontrará:La batalla legal entre Apple y OpenAI por el presunto robo de secretos comerciales en el desarrollo de hardware.  La evolución regulatoria de Nu México tras recibir el aval de la CNBV para operar oficialmente como institución bancaria. El hito de Llave Mx del Gobierno de México desde que se lanzó en 2024. Secciones:Historia innovadora: Trayecto.  Así lo dijo: Aldo Macías (Palo Alto).  Breves de la semana: Los lanzamientos de OpenAI, Meta y Accenture Edge-Google Cloud.  Prompt que me cambió la vida: Hismael Alayo (Movizzon) Todavía en las nubes: La respuesta de la FMF a la sanción por violación en la protección de datos del FAN ID.   IT Masters Insight: Héctor Ramírez, CIO para América de Nouryon.  Le invitamos a seguir IT Masters Update, dejarnos sus comentarios aquí o a través de #ITMastersUpdate en las redes sociales y a visitar nuestro sitio oficial en IT Masters Mag.

Will 2026 be one of those grand historical years that change the world — like 1917, 1789 or 1968? Not according to Keith Teare, publisher of That Was The Week newsletter and co-host of our weekly tech roundup. For Keith, the best historical analogy is 1905, the year of the first abortive Russian revolution. The year that didn't change the world. Keith's latest tech newsletter asks “What Time Is It?” His answer is that we have “multiple clocks” — micro and macro, short, medium, and long term to make sense of our current AI moment. This week, for example, OpenAI and Anthropic both shipped work-focused products, and most of the world hasn't noticed. Thus his allusion to 1905. We are on the brink of massive change. But nothing is going to change. Not quite yet. Until everything does. Five Takeaways •       It's 1905 in the AI Economy. Keith's answer to the what-time-is-it question is the failed Russian revolution — the moment when the variables of transformation were all in motion but nothing was yet visible, and which took seventy years to fully play out. AI's radical change is real, he argues, but it is being experienced by a small number of people and is not yet generalized through the economy. The evidence of the week: OpenAI and Anthropic both shipped work-focused products — and most of the world shrugged. •       The Socialist Temptation of Slippery Sam. The Wall Street Journal frames Altman's offer of 5% of OpenAI to Washington as socialism creeping into Silicon Valley. Keith — who hated the word even when he was a communist — says the term has been Americanized into meaninglessness: it now just means the capitalist state doing more. What Altman is actually proposing is capitalism's end game — a sovereign wealth fund holding equity in the companies everybody wants to fund, so that private wealth creation reaches the point where everyone can imagine benefiting from it. The precise opposite of British Leyland. •       The Multiple Clocks. Keith's framework sorts the week's flood of AI news into micro and macro issues running on short, medium, and long-term timelines. At the micro-short corner sits deployment friction: Microsoft and Amazon spending billions on forward-deployed engineers, and Apple suing OpenAI. In the middle, work adapts — the human as the driver of AI rather than AI imposed on humans. At the top sits Arvind Narayanan's idea of AI as a “normal technology,” which deflates hysteria without deflating importance: electricity was a normal technology too, and it still changed everything — just slower than its loudest advocates expected. •       Abundance and Its Discontents. Matt Yglesias argues that saving capitalism requires radical land use reform, which reignites the show's longest-running argument. Keith's case: the Elizabeth Line and the congestion zone have redefined London, multiplying its effective land fifty-fold, and a house twenty minutes from the center can be had for a couple of hundred thousand pounds. Andrew's case: prices haven't fallen, London is more expensive than ever, and free is doing a lot of work as “a tendency, not an achievement.” The quarrel is adjourned until next week, with Keith cheerfully moonlighting as a real estate agent. •       Two Americas — and the Small Stuff. Ivan Krastev tells Yascha Mounk that American exceptionalism ran roughly from 1850 to Vietnam and has been replaced by defensive preservation — MAGA as a reaction to decline rather than a vision. Noah Smith's version: America can't build a passenger train, yet its AI industry is upending the world. And against John Battelle's worry that digital life has lost the plot, Keith offers the week's best rejoinder to Ian Bogost's small stuff: go back in history, and no one had time for small things. What we are living through is creeping abundance. The week closes with farewells — to Psion founder David Potter, a week after Om Malik. About the Guest Keith Teare is the founder and editor of the That Was The Week tech newsletter, and Andrew's weekly co-host. A British-born Silicon Valley entrepreneur and investor, he was a co-founder of TechCrunch and runs the Palo Alto–based venture firm SignalRank. He and Andrew have been arguing about technology — productively — every week for years. References: •       That Was The Week — Keith's newsletter; this week's edition asks what time it is in the AI economy and lays out the multiple clocks framework. •       The Wall Street Journal piece on the socialist temptation of Sam Altman, and Altman's proposal that the US government hold 5% of OpenAI. •       Arvind Narayanan — the Princeton computer scientist whose framing of AI as a “normal technology” anchors the civilizational clock. •       Matt Yglesias — whose piece argues that saving capitalism requires radical land use reform. •       Ivan Krastev — the Bulgarian political theorist, interviewed in Yascha Mounk's Persuasion on why America has lost faith in itself. •       Noah Smith and Paul Krugman — on the American age and the perennial Europe-versus-US economic comparison, respectively. •       John Battelle — the Web 2.0 pioneer asking whether we've lost the plot, quoting Ian Bogost in Wired. •       The Small Stuff: How to Lead a More Gratifying Life by Ian Bogost (Simon & Schuster) — the interview of the week on Keen On America. •       The New Geography of Innovation by Mehran Gul (Avid Reader Press/Simon & Schuster) — also on this week's show, on America, China, and everyone else. •       David Potter — the founder of Psion, builder of the first handheld computer and later a governor of the Bank of England, who died this week and is Keith's post of the week. About Keen On America Nobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 3,000 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting. Website Substack YouTube

This week on The California Report Magazine: What Skid Row Taught Acclaimed Violinist Vijay Gupta About Music When violinist Vijay Gupta joined the Los Angeles Philharmonic at just 19 years old, he was the youngest to ever take a chair in a major orchestra in the U.S. But despite that shining achievement, he was desperately unhappy. Now in his late 30s, Gupta has a new memoir out called Restrung. It explores how, after years of struggling to live up to other people's expectations, he found his true voice working with homeless people on the streets of Skid Row. Reporter Steven Cuevas has this profile.   ⁠Life Lessons from a Game of Chess⁠ Visits with loved ones are a special time for people who are incarcerated in California. Families come from all over the state to see their loved ones for a short while, and it's one of the only opportunities incarcerated parents can connect with their kids. In this essay from the podcast Uncuffed, producer Fonuamana Fuahala recounts connecting with his son — who he hadn't seen in years — over a game of chess.   When Chinese Flower Growers Helped the Bay Area Bloom Santa Clara County stretches from San Jose up through Palo Alto and into the surrounding foothills. Today, it's an area known for sprawling tech campuses and suburban neighborhoods, but for a large part of the 20th century, this landscape looked very different. Some would say it was blooming. KQED's Gabriela Glueck brings us this story. Learn more about your ad choices. Visit megaphone.fm/adchoices

Parfois, on a beau avoir tout essayé, la douleur prend le dessus. C'est souvent l'indice qui nous pousse à nous séparer. Dans ce quatrième et dernier épisode, on découvre comment la rupture peut devenir salvatrice et on plonge sans peur dans l'émotion du deuil, la tristesse, avec la psychologue Kaja Oppegaard. Ressources en lien avec la série: - Paul Watzlawick, “Une logique de la communication” - Podcast “Si j'avais eu Palo Alto” de Camille Barbier et Vincent Lenhardt - Podcast “Dé-bloqué” de Nathalie Goujon - #20 “Oublier tout ce qu'on pense au sujet de ce qu'on pense” - #25 “La peur qu'on évite et qui s'emballe” Journaliste : Joëlle Cachin Réalisation: Jonah Dubois Nous écrire ou nous proposer des questions: +41 79 134 34 70 ou pointj@rts.ch

Przez lata słyszeliśmy historię o genialnych studentach, którzy w garażach stworzyli Apple, Google czy Hewlett-Packard. To jednak tylko część opowieści.Czy sukces Doliny Krzemowej był wyłącznie efektem talentu przedsiębiorców? A może jego fundamenty powstały znacznie wcześniej – podczas II wojny światowej, gdy amerykańskie państwo i Pentagon rozpoczęły finansowanie badań, uczelni oraz technologii, które z czasem zmieniły cały świat?W tym odcinku Studia Bez Fikcji rozmawiam z amerykanistą Rafałem Michalskim o mało znanej historii Palo Alto i Doliny Krzemowej. Inspiracją dla tej rozmowy jest książka Malcolm Harrisa "Palo Alto. Historia Kalifornii, mit Doliny Krzemowej i technokapitalizm" https://mtbiznes.pl/przeswity/wydawnictwo-przeswity/technologie/palo-alto#książka 08:40 Eugenika w Kalifornii – mało znana historia15:05 Dlaczego właśnie Kalifornia?18:50 Dlaczego to USA wygrały wyścig technologiczny?19:57 Roosevelt, II wojna i narodziny nowoczesnej Ameryki24:36 Pentagon finansuje przyszłość27:31 Czy Pentagon stworzył świat nowych technologii?29:05 FBI, smartfony i inwigilacja33:56 Czy Dolina Krzemowa chyli się ku upadkowi?41:46 Teksas kontra Kalifornia47:01 Czy Ameryka oddała Chinom swoją przewagę?To rozmowa o historii, która pozwala lepiej zrozumieć współczesny świat.Jeżeli cenisz materiały pokazujące historię z mniej oczywistej perspektywy, zasubskrybuj kanał i zostaw komentarz. Chętnie poznam Twoją opinię: czy źródłem sukcesu Doliny Krzemowej byli przede wszystkim prywatni przedsiębiorcy, czy jednak państwo amerykańskie?JAK WSPIERAĆ KANAŁ:

Episode initialement diffusé en 2024Comment rater son couple à coup sûr. C'est ce qu'Emmanuelle Piquet explique dans son nouveau livre.Emmanuelle est thérapeute depuis plus de 15 ans et elle accompagne au quotidien des personnes en souffrance. Comme elle l'explique, régulièrement, les personnes qui viennent la voir en individuel sont en fait des personnes en difficulté dans leur couple.Dans ce livre, plein d'humour évidemment, Emmanuelle veut vous montrer que les problématiques que rencontrent les couples sont, au final, assez communes dans leurs origines.Dans cet épisode, on parle des cercles vicieux dans lesquels on peut toutes et tous se retrouver, on parle de l'envie de contrôler son partenaire et de ce que cela cache, on parle de notre incapacité à communiquer nos besoins correctement et de ses conséquences, et on aborde les disputes de couple sous un angle nouveau et rafraîchissant.Alors, embarquez avec nous dans ce monde sinueux des relations de couple et de leurs ruptures.Je vous souhaite une très bonne écoute.LIENS UTILES :Comment rater son couple à coup sûr, Emmanuelle Piquet

La velocidad de la inteligencia artificial está cambiando la forma en que las empresas deben responder a las vulnerabilidades. IBM, Red Hat y Palo Alto Networks anunciaron una colaboración que integra Project Lightwell con la capacidad de Virtual Patching para proteger más rápido a las organizaciones mientras avanza la corrección definitiva del software.

Today we’re going to take you through the ins and outs of a technology company that makes the personal computers we use at work and at home. But here’s the twist. The company was founded all the way back in 1939 when there were no fully electronic computers, and where Palo Alto, Califonia was not a Silicon Valley hub, but an area filled with fruit orchards. Make a guess – bingo if you’ve guessed HP! HP’s founding story takes us back to the 1930s, when American culture was dominated by sound film and radio, made possible by electronic signalling. Inspired by the zeitgeist, two Stanford University friends, Bill Hewlett and Dave Packard decided to work part-time building devices in a Palo Alto garage. In 1938 and with only US$538 in capital, the duo invented the HP Model 200A, which was an oscillator that was used to test sound equipment. What was worthy of note was how The Walt Disney Company actually bought 8 of the HP oscillators to get movie theatres ready to screen Fantasia in 1940. The company was formalised as Hewlett-Packard in the 1940s, as a result of a coin toss to decide whether Bill or Dave’s name comes first, and grew in success over the years as the electronic industry expanded. But why are we speaking to HP you might ask? Well, per data by Statista, HP is a market leader in the global PC space, coming in at second place with a market share of 27.2 per cent in 2025. But what is the ongoing demand for PCs like? Also, what will the future of work look like with AI-processes embedded in employees’ workflows, and what does this mean for HP when it comes to new product designs and launches? How will AI adoption augment the firm’s growth trajectory globally and right here in Southeast Asia? Speaking of Southeast Asia, HP chose Singapore to launch Garage 2.0, an initiative where the technology company lends its engineering expertise and business insights to accelerate the growth of AI startups. But why did it choose to launch the programme in sunny Singapore? How important is Singapore or Southeast Asia to the firm? On Under the Radar, finance presenter Chua Tian Tian posed these questions to Koh Kong Meng, Managing Director, Southeast Asia and Singapore, HP.See omnystudio.com/listener for privacy information.

Make peace with boring life - OOTD and blablabla at Palo Alto library

“The second law of thermodynamics is not to be negotiated with.” — Thomas S. Mullaney The second law of thermodynamics is non-negotiable. The universe will end. Every human being dies. Everything decays and every record disintegrates. So why record history? Why bother remembering? These are the questions that the Stanford historian Thomas S. Mullaney addresses in his intriguing new book, How We Disappear: A Personal History of Information. How We Disappear is triggered by grief. Mullaney's father — a man he never fully understood, an exile in an estranged household — died unexpectedly in 2017. Sitting in his father's office surrounded by the “paperwork of death,” Mullaney's training as a historian crystallised into an all-too-personal project of disappearance. It's a book about what Mullaney calls “intransitive disappearance” — not the spectacular, cataclysmic kind of traditional historiography (wars, book burnings, genocide) but the everyday, uneventful ways things fall apart. Like Thomas Mullaney's dad. Existence as obsolescence, erosion, sinescence and the slow drift of the unremarkable into nothing. History, in Mullaney's account, is a Sisyphean fight against this nothingness. We tell stories to survive and maintain the polite appearance of coherence. If you actually tried to reconstruct experience — the thing-in-itself — you would need an infinite library of trillion-page books. Existence, for Mullaney, is a swirl of stimuli and daydream. History tries to domesticate this Borgesian swirl. So does consciousness itself. That's why, as Mullaney memorably puts it, “historians do the dirty work of necromancers.” Which is to say they try to negotiate with the second law of thermodynamics. Five Takeaways •       Intransitive Disappearance: The Everyday Way Things Fall Apart: Mullaney's central concept: intransitive disappearance. Not the spectacular, cataclysmic kind — book burnings, genocide, the destruction of the Library of Alexandria — but the everyday, drifty, uneventful ways things disintegrate. Obsolescence. Erosion. Sinescence. The unremarkable drift of the unremarkable into nothing. He became obsessed with these forms of disappearance — a pack rat across every discipline he could think of — for twenty-five years. His father's unexpected death in 2017, sitting in his father's office amid the paperwork of death, crystallised what had been inchoate into a book. •       History as Domesticated Experience: The Trillion-Page Book: If you tried to actually reconstruct experience — the actual thing, unfiltered — you would need a trillion-page book that would make Naked Lunch look like a kindergarten primer. You'd have to say how many hairs were on his head; whether he favoured his left foot over his right; the scent of his aftershave. Experience, unfiltered, is an n-dimensional vortex of stimuli and daydream. Anytime you read a work of history, you are reading experience that has been domesticated into narrative — with turning points, main characters, thematic arguments. Historians know this. Every practising historian knows that the ideal of reconstructing human experience can never be reached. •       The Vocal Defence of History: Why Do It If You Know It's Impossible? Mullaney's answer to the subversive question: history is just the professional counterpart of what every human being does every second of their existence. You, right now, telling yourself the story of your experience, are already well into postproduction. Your experience of being a person in a chair talking to another person on a couch — that is already domesticated. Human beings need to tell stories to live, to maintain continuity, to maintain coherence. Historians do the same thing under certain rules and protocols. The futility of history is the futility of consciousness itself. Neither is a reason not to try. •       The Second Law of Thermodynamics Is Not to Be Negotiated With: The universe will end. Every human being dies. Everything we create decays. Every record disintegrates. Mullaney is unsparing about this. He is also, in his strange way, cheerful about it: we don't need to last forever to have meant something. The meaning is not in the permanence. It is in the making. He would like the Silicon Valley immortality seekers — Kurzweil, the others, all those negotiating with thermodynamics from Palo Alto — to read the book, to face the facts, and then to find the alternative: rejoining physical reality and finding very deep meaning in that. •       AI Bots of Deceased Parents: Stop: Andrew raises the obvious question: what would Mullaney say to the people in Palo Alto building AI bots of your deceased mother and father, so they can exist forever for your children and grandchildren? Mullaney's answer is one word: stop. Human beings do not have the wetware — the biological critical apparatus — to maintain distance from a deep fake of their deceased parent. It short-circuits us. It bypasses our limitations. He cannot fathom, outside of very specific, closely monitored therapeutic settings, an argument in which this is a good idea. Paul Postman's phrase: we are amusing ourselves to death. And there is very little critical reflection coming out of the neighbourhoods where this stuff is being made. About the Guest Thomas S. Mullaney is Professor of History at Stanford University, a Guggenheim Fellow, and the former Kluge Chair in Technology and Society at the Library of Congress. He is the author of How We Disappear: A Personal History of Information (W. W. Norton, June 23, 2026) and four previous books on Chinese history and technology, including The Chinese Typewriter: A History (winner of multiple awards). He lives in Palo Alto, California. References: •       How We Disappear: A Personal History of Information by Thomas S. Mullaney (W. W. Norton, June 23, 2026). •       Jorge Luis Borges — referenced; the infinite library, the map that equals the terrain. •       Neil Postman, Amusing Ourselves to Death — referenced in the closing discussion on AI and human limitations. •       Kara Swisher — referenced for her CNN series on Silicon Valley immortality seekers. •       Ray Kurzweil — referenced as an exemplar of tech-utopian immortality thinking. About Keen On America Nobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 3,000 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting. 

If last week's episode left you wondering what you can actually do about data center development in your community, this week's episode is the flip side. Carolyn Woodard shares a new national workforce initiative just launched last week, then digs into the tools and resources available for nonprofits and community members who want to shape how AI infrastructure gets built - before it arrives, not after.She also closes with a look at what's happening in Europe and Africa, tying it back to an earlier episode on how where you are in the world determines the environmental footprint of your AI use, and why that makes local action matter globally.This episode covers:RAISE US, a new national nonprofit launched June 25 with bipartisan leadership from former Commerce Secretary Gina Raimondo and former Indiana Governor Eric Holcomb, has secured more than $500 million toward a $1 billion goal. Anchor partners include Amazon, Anthropic, Microsoft, and the OpenAI Foundation. If you work in workforce development in Arkansas, Connecticut, Maryland, or Utah, pay attention now, pilots are beginning.The Virginia legislature just wrapped its biannual budget, and the data center tax break fight made it in. Legislators kept the existing break but imposed a new tax on large data center companies to offset it with more to come next session. A local example of the policy battle playing out in real time, and ways that citizen involvement makes a difference in statewide policy.The Erin Brockovich Data Center Reporting Project lets citizens report data center problems - energy, noise, water - but also has a "Communities Making a Difference" map that documents real wins. Community organizing is working.41 mayors from six continents — representing more than 90 million people — signed the Global Urban Data Centres Pact at London Climate Action Week on June 23. About half the signatories are U.S. cities including Seattle, Chicago, Miami, Phoenix, and Palo Alto. They're setting common standards on clean energy, water use, and site selection, creating a benchmark for requirements for other cities and communities to use.Sierra Club's 2026 Data Center Policy Guidance and Good Jobs First's moratorium bill tracker (300+ bills across 30+ states) give you concrete tools to find what's happening in your state and how to plug in.Europe's record-breaking heat wave is straining data center cooling systems and sparking a movement toward European-owned AI infrastructure. The African Development Bank and UNDP have launched a $10 billion initiative so Africa becomes a producer of AI, not a consumer of tools built elsewhere. As Carolyn puts it: the Industrial Revolution took 30–40 years for communities to push back. We don't have to wait that long this time.Resources Mentioned:RAISE US – https://www.raiseus.aiErin Brockovich Data Center Reporting Project – https://brockovichdatacenter.comErin Brokovich Data Center Reporting Project - Victory Map https://brockovichdatacenter.com/community-and-legislation.html#mapCommunities Making a Difference – Brockovich Data Center Project – https://brockovichdatacenter.com/community-impact.htmlGlobal Urban Data Centres Pact – C40 Cities – https://www.c40.org/news/mayors-from-around-the-world-unite-in-call-for-sustainable-urban-data-centres/Sierra Club 2026 Data Center Policy Guidance – Sierra Club – https://www.sierraclub.org/issues/climate/data-centersData Center Moratorium Bill Tracker – Good Jobs First – https://goodjobsfirst.org/data-center-moratorium-bills-are-spreading-in-2026/Africa AI 10 Billion Initiative – African Development Bank – https://www.afdb.org/en/news-and-events/press-releases/african-development-bank-undp-and-partners-launch-ai-10-billion-initiative-during-2026-nairobi-ai-forum-91104Why Community Benefit Agreements Are Necessary for Data Centers – Brookings Institution – https://www.brookings.edu/articles/why-community-benefit-agreements-are-necessary-for-data-centers/ _______________________________Start a conversation :)Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/email Carolyn at cwoodard@communityit.comon LinkedIn on reddit/r/nonprofitITmanagementon the Community IT websiteThanks for listening. 

Reid Hoffman's relationship with Jeffrey Epstein is tenuous, controversial, and wrapped in layers of public explanation and regret. Hoffman has admitted that he invited Epstein to a 2015 dinner in Palo Alto (with luminaries like Elon Musk and Mark Zuckerberg) as part of fundraising efforts for the MIT Media Lab—on the basis that MIT leadership had “vetted” Epstein. He later issued a public apology, saying that while he believed the invitation was appropriate at the time, it was a serious error in judgment to associate with Epstein post-conviction.But deeper reporting has further complicated Hoffman's narrative. Documents indicate that Hoffman visited Epstein's private island, Little St. James, in 2014 (after Epstein's 2008 conviction), apparently connected with MIT-related fundraising. Other records show plans for Hoffman to stay in Epstein's New York townhouse and attend social engagements with him and other tech elites. Hoffman's defenders say his ties were limited to philanthropy and fundraising, but critics argue that even those interactions — especially occurring after Epstein's well-known legal disgrace — raise troubling questions about judgment, complicity, and the degree to which Epstein was able to rehab his social capital among elite tech circles.to contact me:bobbycapucci@protonmail.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-moscow-murders-and-more--5852883/support.

“Between 1980 and 2019, the billionaires gained $25 trillion. By today it's probably $35 trillion. The question is who will pay for reform? You go where the money is.” — Mordecai Kurz Keynes observed that in the long run, we are all dead. The nonagenarian Stanford economist Mordecai Kurz agrees. Which is why he has no patience for the tech utopians' promise of abundance for all of us in the long run. And his new book, Private Power and Democracy's Decline: How to Make Capitalism Support Democracy, is amongst the most urgent cases yet made for a fundamental reform of American capitalism. Kurz compares our billionaire-infested times with the Gilded Age of the late 19th century, which eventually ended with sharp progressive reform. We are now in a second Gilded Age, he argues. Between 1980 and 2019, the top billionaires gained $25 trillion. By today, he estimates it's $35 trillion. Meanwhile, workers without college education gained essentially nothing in income between 1980 and 2010. The result is both Trumpism and the world's first trillionaire. Kurz lays out a three-fronted reform strategy. First, reduce market power through patent and antitrust reform. Second, redistribute the gains from technology through a 65% top marginal income tax rate and a 45% corporate rate. Third, guarantee the livelihood of every worker displaced by policy-supported technological change with retraining, full wage support, tuition, healthcare, and even relocation. Wouldn't the billionaires simply leave? The spirited Kurz, who has taught economics at Stanford for sixty years, isn't worried. “Others will come instead of them,” he says. And in response to Sam Altman's argument that AI will free humanity from labour, Mordecai Kurz retorts with Keynes's remark about death in the long run. And this particular long run, he says, could be many millennia. Five Takeaways •       The Second Gilded Age: Same Dynamic, Different Technology: Kurz's central historical argument: the first Gilded Age — 1864 to 1914 — produced extreme inequality, rising economic monopolists who became centres of political power, and democratic decline. It ended with progressive reform. The second Gilded Age, beginning in 1980, follows the same logic: technology used as a weapon of market power, market power converting into political power, political power undermining democratic institutions. The difference is scale and speed. Between 1980 and 2019, the top billionaires accumulated $25 trillion. By 2026, Kurz estimates $35 trillion. The reform that ended the first Gilded Age took fifty years. He is not sure we have that long. •       The Three-Pronged Reform: Market Power, Distribution, Livelihoods: Kurz's proposed reform has three components. First: reduce market power through patent reform, antitrust reform, and reform of acquisition law — the legal structures that allow technology firms to entrench monopoly positions. Second: redistribute the gains from technology through a 65% top marginal income tax rate, a compulsory minimum 15% tax on incomes above $400,000, and a 45% corporate tax rate. Third: guarantee the livelihood of every worker displaced by policy-supported technological change — retraining, full wage support, tuition for children, healthcare, and relocation assistance. •       The 1980 Mistake: Where It All Went Wrong: Kurz is precise about the origin of the problem: 1980. The turn to unregulated free-market capitalism under Reagan, combined with the information technology revolution, created what he calls a techno-winner-takes-all economy. Workers without college education gained essentially nothing in income between 1980 and 2010. Millions lost their jobs to automation and import competition and received no government support. Kurz's diagnosis of Trumpism: it fed on the despair of those abandoned workers. This is not a cultural or demographic explanation. It is a structural economic one. •       Would the Billionaires Leave? Let Them: Andrew raises the obvious objection: if you tax them at 65%, won't the Elon Musks and Larry Pages and Sam Altmans simply leave? Kurz's response is blunt: he doesn't think they would, because the system called America — its universities, infrastructure, market, human capital, and institutional environment — is what made their billions possible. Their billions are not the product of their individual genius alone. But if they do leave, he says, others will come instead. He adds that he would prefer coordinated taxation across all Western advanced economies, not the US alone. •       In the Long Run, We Are All Dead: The Keynesian Punchline on Tech Utopianism: Andrew asks about Elon Musk's claim that money will eventually disappear and technology will free humanity from labour — the Keynesian/Marxist long-run abundance argument. Kurz paraphrases Keynes' most famous line: “In the long run, we are all dead.” And then he adds: the long run could be a very long time. He is ninety years old, has taught at Stanford since 1961, and from his office window he can see the $1 billion mansions in the hills above Palo Alto and the workers below who cannot afford to live there. He is, he says, not prepared to wait for Musk's utopia. About the Guest Mordecai Kurz is the Joan Kenney Professor of Economics Emeritus at Stanford University, where he has taught since 1961. He is the author of Private Power and Democracy's Decline: How to Make Capitalism Support Democracy (MIT Press, May 19, 2026) and The Market Power of Technology: Understanding the Second Gilded Age (Columbia University Press, 2023). He was born in Tel Aviv and received his doctorate from MIT. References: •       Private Power and Democracy's Decline: How to Make Capitalism Support Democracy by Mordecai Kurz (MIT Press, May 19, 2026). •       The Market Power of Technology: Understanding the Second Gilded Age by Mordecai Kurz (Columbia University Press, 2023) — the preceding volume, referenced throughout. •       Thomas Piketty — blurbed the book: “A great book, a must-read.” Also referenced in the conversation. •       Dani Rodrik and Gabriel Zucman — referenced as fellow economists in Kurz's camp. •       Marc Andreessen — referenced for his counter-argument that high taxation destroys innovation. About Keen On America Nobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 3,000 episodes s...

The Audacity DP Richard Rutkowski, ASC made Vancouver look like Palo Alto, used lens filters instead of special effects to create wildfires, and dramatized the themes of the show with spotlights and framing. Podcast highlights include: -How Richard and his crew made Vancouver look convincingly like Silicon Valley and why establishing a sense of place was a creative priority from day one. -Why glass filtration is still one of the most powerful tools in a DP's kit. -Richard breaks down exactly how he built the show's haunting wildfire look using physical filters in camera, with minimal reliance on post. -His philosophy of handheld as intimacy, choreographing the camera to follow the actor so that performance drives the frame. -How visual motifs like frame-within-a-frame compositions and strategic spotlight placement were purposeful to the show's themes, rather than being visually inventive for its own sake. Find Richard Rutkowski: http://see-no-evil.net/ Instagram: @richardrutkowskidp The Audacity is streaming now on AMC+ Hear our previous episode with Richard Rutkowski on Masters of the Air. https://www.camnoir.com/ep255/ SHOW RUNDOWN: 02:02 Close focus 22:27-01:11:32 Richard Rutkowski interview 01:11:45 Short ends 01:19:14 Wrap up/Credits The Cinematography Podcast website: www.camnoir.com YouTube: @TheCinematographyPodcast Facebook: @cinepod Instagram: @thecinepod Blue Sky: @thecinepod.bsky.social

Something has changed at the board level. Recorded in the media room at Infosecurity Europe 2026 in London, Ian Schenkel, VP Sales, EMEA & APAC of Intel 471, describes directors who no longer take security on faith. After a year of headline breaches from Jaguar Land Rover to Marks and Spencer and the Co-op, leadership wants proof rather than promises. What does the board actually want to know? A straight answer to one question: are we okay? Ian Schenkel starts with geopolitics. Nation-state activity, supply chain exposure, and shifting global markets all shape whether a business can keep running. Threat intelligence becomes the early warning system leaders use to decide where to move and which actors have a history of targeting their industry. The next question gets personal. Does this affect us? Have we already been hit? This is where Intel 471 leans on retroactive threat detection. When new indicators of compromise surface, an analyst can build detection queries in seconds against a SIEM, SOAR tool, SentinelOne, Microsoft, or Palo Alto, then report back to the board with a clear answer. How does intelligence reach the board without getting lost in the weeds? It travels as a story the board can act on. Intel 471 pulls its three core areas, cyber threat intelligence, attack surface management, and threat hunting, into a single report that scales from an executive summary to a detailed account of what was found and neutralized. The stories make it real. During merger rumors, an attacker registered a look-alike domain and emailed employees from it. In another case, Intel 471 warned an organization it did not yet work with about a politically motivated actor that was openly discussing it. The value is the early signal, long before perimeter and endpoint defenses ever engage. Sometimes the right move is not technical at all. It might be briefing executives on targeted ransomware or reminding employees to stay alert against the email that has not arrived yet. The throughline, as Ian Schenkel frames it, is prevention over reaction, and a board finally asking the right questions. This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight GUEST Ian Schenkel, VP Sales, EMEA & APAC, Intel 471 LinkedIn: https://www.linkedin.com/in/ianschenkel/ RESOURCES Learn more about Intel 471: https://www.intel471.com Connect with Ian Schenkel on LinkedIn: https://www.linkedin.com/in/ianschenkel/ Infosecurity Europe 2026 event coverage: https://www.itspmagazine.com/infosecurity-europe-2026-infosec-london-cybersecurity-event-coverage Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS Ian Schenkel, Intel 471, Sean Martin, brand story, brand marketing, marketing podcast, brand spotlight, cyber threat intelligence, threat hunting, attack surface management, board reporting, geopolitical intelligence, early warning system, indicators of compromise, retroactive threat detection, business resilience, Infosecurity Europe 2026 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Drs Kaniksha Desai and Sara Lubitz discuss secondary hypothyroidism. This podcast is intended for healthcare professionals only. Kaniksha Desai, MD, Associate Professor, Department of Internal Medicine, Endocrinology, Stanford University, Palo Alto, California Sara E. Lubitz, MD, Professor, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey To read a partial transcript or to comment, visit: https://www.medscape.com/index/list_15483_0

Neal sits down with co-founders John Sjolund (CEO) and Jon Brilliant(CFO) of Luna Diabetes, two serial diabetes tech founders building what they call “sleep only automation” - the world's smallest patch pump designed to automate insulin delivery while you sleep. With over 1700 nights of real-world wear and a pivotal study on the horizon, Jon and John make the case that nighttime is where the biggest gains in diabetes management are hiding - and almost no one is solving for it. Neal shares a personal connection through his father's decades-long journey with Type 1, and the conversation closes with taco picks spanning a hidden Sorrento Valley gem and an upscale Palo Alto staple.Key Topics* Why 80%+ of glucose-lowering automation benefit happens at night* The founding story: from a Hannah Montana watch to the world's smallest patch pump* Sleep disruption as the #1 reported issue among people with diabetes* Building trust through consistency in an intimate use case* Capital efficiency in medtech: $40M to market vs. the $200M industry average* The disconnect between what clinicians prioritize and what patients actually need* Consumerizing medical devices - why diabetes tech still feels like a Game Boy* WellDoc, Bigfoot Biomedical, and the lineage of connected insulin deliveryLinks & Resources* Luna Diabetes: lunadiabetes.com* WellDoc: welldoc.com* Bigfoot Biomedical: bigfootbiomedical.com* The Craft Taco (Sorrento Valley, San Diego)* Reposado (Downtown Palo Alto)Connect on LinkedIn* Neal Bloom* Jon Brilliant* John Sjolund This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit risingtidepartners.substack.com/subscribe

(0:00) Palo Alto Networks CEO Nikesh Arora joins the Besties! (0:47) Claude Mythos found years of vulnerabilities in Palo Alto's code in weeks (5:15) Are cyber defenders losing the race against AI attackers? (6:50) Analytical SaaS is dead, so what survives the AI wave? (14:06) If models become a utility, where will the money be made? (20:35) Armchair CEO: Nikesh rates Waymo, Google, and OpenAI (28:22) Palo Alto's M&A playbook and the path to $1 trillion Thanks to our partners for making this possible! EY - AI ambition isn't enough. EY.ai Value Blueprints move organizations beyond pilots embedding measurable business value by design. https://www.ey.com/en_us/services/ai/value-blueprints?WT.mc_id=3501320&AA.tsrc=sponsorship NYSE - Thank you to our partner, the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE. https://www.nyse.com Plaud - Never miss a moment. Plaud, our official wearable AI note-taking partner at All-In Liquidity Summit, captured every insight. https://www.plaud.ai Follow Nikesh: https://x.com/nikesharora Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg

evening blablabla bol park palo alto

Dan Nathan welcomes Notable Capital partner Jeff Richards to discuss how public-market concentration and multiple expansion in mega-cap tech are influencing private-market valuations. Richards explains Notable's evolution from GGV Capital and its investments across AI and software, then argues that AI adoption is accelerating rapidly, citing publicly reported Anthropic run-rate growth and broad “token path” benefits for infrastructure and select software. He highlights cybersecurity as a key beneficiary as agents increase enterprise risk and could drive continued growth for leaders like CrowdStrike and Palo Alto, while noting stretched valuations and advising patience for pullbacks. The conversation covers Google's equity raise and Berkshire's participation, Microsoft's questions beyond Azure, and why Richards recently bought Meta. They address enterprise “sticker shock” for AI usage, the shift to measuring output, SaaS durability vs. internal builds at startups, talent-driven M&A, rising VC interest in robotics, and potential IPO demand for SpaceX, Anthropic, and OpenAI amid signs of frothy market behavior. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Cramer urges investors to hold this cyber stock despite its pullback. Become an Investing Club member to go behind the scenes with Jim Cramer and Jeff Marks every day as they talk candidly about the market's biggest headlines, analyst calls and holdings in the Charitable Trust – and see up close how they decide when, and if, to take action on stocks. Sign up here:  cnbc.com/morningtake   CNBC Investing Club Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Three friends. One closet. A company now valued at $10 billion, serving over 400,000 small businesses.Josh Reeves is the co-founder and CEO of Gusto, the payroll, benefits, and HR platform now valued at roughly $10 billion. But he didn't grow up dreaming of building HR software — nobody does. The son of two teachers who were the first in their families to go to college, Josh studied electrical engineering at Stanford during the dot-com collapse, when the conventional wisdom was that the internet was finished. He ignored it. After a stint as a product manager at Zazzle and a first startup he now describes as "stealth mode" — his polite way of saying he had no idea what he was doing — Josh walked away with the most important lesson of his career: never start a company just because your friends are.In 2011, he and two co-founders started Gusto to fix something genuinely broken. Payroll, benefits, and the systems that quietly reduce people to ID numbers and acronyms — especially in small businesses, where two-thirds of U.S. employers have fewer than five people and every hire is a real human being, not a line item. They set one rule: they wouldn't pay themselves until they could do it through their own product. They launched in December 2012 with 100 small businesses. One co-founder spent four months sleeping on an air mattress in a roommate's closet — it had a skylight, for the record, and the roommate's clothes were still hanging inside.Fourteen years later, Gusto has grown from three people in a Palo Alto house to over 3,000 employees ("Gusties") across Denver, San Francisco, New York, and Scottsdale — with no headquarters, by design. In this episode, Josh sits down with Jessica to unpack how he protected culture at scale, why he deliberately left revenue on the table to launch in all 50 states the right way, and the framework he uses to resist Silicon Valley's growth-at-all-costs gospel.You'll learn:- Why second-time founders have an edge — and why Josh had role, responsibility, and ownership conversations on day one- The weekly feedback walks the three founders started when they were just three people, and still do 14 years in: three things working, three things to improve- Why most systems treat people like transactions — and what changes when you build for the human moments instead- The values-and-motivation interview Gusto uses to hire for what makes someone tick, not just what's on their résumé- Why interviewing is a skill every leader should practice obsessively — and how the best interviewers dig past the first and second answer to what's really underneath- How to scale culture without freezing it: "we're not a museum" — what should persist, and what should always be allowed to change- The "no headquarters" home-base model, and why Josh personally interviewed Denver's first 10-15 hires to make it as important as San Francisco- Why "doing things that don't scale" early can build the momentum that scales later- Why he deliberately left revenue on the table to cover all 50 states comprehensively, instead of launching half-built- The three checks-and-balances Josh runs against growth: product quality and compliance accuracy, unit economics, and team retention- Why there are over 10,000 payroll rules in the U.S. — and why the business owner should never have to become the expert- How AI is a tailwind, not a threat — making Gusto more of a teammate and partner to the small business owner- Why work should be more than a paycheck: purpose, community, and impact, when the alignment is there- The thought experiment every founder should run before committing: the 10,000th time you describe your idea, will you still be excited?Whether you're starting a company, scaling one, or just trying to do work that means something, Josh's philosophy is the throughline — the one he repeats to his four kids and to every founder who'll listen:In our family, we do hard things.Truth Works is hosted by Jessica Neal, former Chief Talent Officer at Netflix, now in the business of telling the truth about how work really works.

Palo Alto Networks (PANW) reports earnings after the close Tuesday as shares hit repeat records on anticipated tailwinds over AI disruption. Rick Ducat warns that the vertical rally may open the door to shares finding new support. Tom White offers an example options trade for Palo Alto into earnings. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

US President Trump told ABC News he thinks he will have an agreement with Iran to extend the ceasefire and reopen the Strait of Hormuz over the next week.US equity futures lack direction just shy of ATHs, while European bourses reverse Monday's losses. Global benchmarks benefit from lower energy prices, JGBs outperform following a solid 10yr auction.DXY muted, EUR directionless as EZ CPI surpasses 3%. Crude (Brent -1.4%) falls over renewed hopes of an Iran resolution.Looking ahead, highlights include US JOLTs Job Openings (Apr), RCM/TIPP Economic Optimism, New Zealand Export/Import Prices (Q1), NBP Policy Announcement (Jun). Speakers include Fed's Hammack, BoE's Bailey & Greene, ECB's Vujcic. Earnings from Dollar General, Palo Alto & ULTA Beauty.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

US President Trump said talks with Iran were continuing at a rapid pace; he thinks he will have an agreement with Iran to extend the ceasefire and reopen the Strait of Hormuz over the next week.Iran's Foreign Ministry said the US bears direct responsibility for violations of the ceasefire with Iran and by Israel in Lebanon, adding that a violation on one front was equal to violations on all fronts.The US is in talks to expand nuclear weapon deployments in Europe, according to the FT.Crude futures gradually pulled back overnight following the prior day's rally; fixed income caught a bid overnight.APAC stocks were mixed following the choppy performance stateside; European equity futures indicate a positive cash market open with Euro Stoxx 50 futures up 0.5%.Looking ahead, highlights include EZ CPI (May), JOLTs Job Openings (Apr), RCM/TIPP Economic Optimism, New Zealand Export/Import Prices (Q1), NBP Policy Announcement (Jun). Speakers include Fed's Kashkari & Hammack, BoE's Bailey & Greene, ECB's Vujcic. Supply from the UK & Germany. Earnings from Dollar General, Palo Alto & ULTA Beauty.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Microsoft's dispute with a former security researcher takes a dramatic turn as the company raises the possibility of criminal action over the publication of proof-of-concept code for unpatched zero-day vulnerabilities. David Shipley examines the escalating conflict between Microsoft and "Nightmare Eclipse," the criticism from prominent security researchers including Kevin Beaumont and Katie Moussouris, and what the controversy could mean for the future of vulnerability disclosure. Cybersecurity Today would like to thank Material Security for sponsoring this podcast. Material Security provides faster, more complete detection and response for email, identity, and data threats inside Google Workspace and Microsoft 365. You can contact them at material[dot]security. The episode also explores a new category of insider risk after U.S. prosecutors charged Google security engineer Michael Spagnuolo with allegedly using confidential Google search trend data to earn more than $1.2 million on the prediction market Polymarket. The case highlights how prediction markets may create unexpected incentives around non-financial corporate information. Also covered: active exploitation of Palo Alto Networks' GlobalProtect VPN authentication bypass vulnerability CVE-2026-0257, now added to CISA's Known Exploited Vulnerabilities (KEV) catalogue, and a malware campaign that abuses legitimate ChatGPT sharing pages and Google Ads to trick users into downloading malicious software. Researchers also report similar abuse of Anthropic's Claude Artifacts feature. Chapters 00:00 Top Headlines Rundown 00:26 Microsoft vs Zero-Day Researcher 01:28 Responsible Disclosure Fallout 03:32 Why This Dispute Matters 04:32 Polymarket Insider Trading Case 06:07 Prediction Markets Create New Insider Risks 06:55 Palo Alto VPN Authentication Bypass 08:25 ChatGPT Pages Used to Deliver Malware 09:51 Wrap Up and Sign Off Cybersecurity Today is Canada's leading daily cybersecurity news podcast, covering ransomware, vulnerabilities, nation-state threats, cybercrime, security research, privacy, and critical infrastructure security. #Cybersecurity #Microsoft #PaloAltoNetworks #ChatGPT #OpenAI #Google #Polymarket #ThreatIntelligence #InfoSec #CyberSecurityToday

Kunstmatige Intelligentie brengt tal van gevaren met zich mee. Wie gaat ons daar tegen wapenen? Misschien zijn het wel de cybersecurity-bedrijven. Palo Alto komt met de kwartaalcijfers en die kunnen uitwijzen hoeveel groei er in die markt zit. Ook een beetje ironisch, want zelf gebruiken ze ook veel - je raadt het al - AI. Wat moeten we van die cijfers verwachten? Dat hoor je in deze aflevering. In Beurs in Zicht stomen we je klaar voor de beursweek die je tegemoet gaat. Want soms zie je door de beursbomen het beursbos niet meer. Dat is verleden tijd! Iedere week vertelt een vriend van de show waar jouw focus moet liggen. Te gast: Jean-Paul van Oudheusden van Markets are Everywhere BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille. In Beurs in Zicht stomen we je klaar voor de beursweek die je tegemoet gaat. Want soms zie je door de beursbomen het beursbos niet meer. Dat is verleden tijd! Iedere week vertelt een vriend van de show waar jouw focus moet liggen.See omnystudio.com/listener for privacy information.

In episode 630 of the Loan Officer Podcast, host Dustin Owen embarks on a special journey to Palo Alto, California, marking the show's first-ever in-person interview. Dustin sits down with Trent Hedge, the dynamic founder and CEO of Pylon Lending, for an engaging and insightful conversation. Trent opens up about his remarkable entrepreneurial journey, beginning with his early days running a landscaping business as a teenager in Columbus, Ohio. He discusses how his passion for technology led him to teach himself coding, a skill that would prove invaluable as he made the bold decision to relocate to Silicon Valley at just 18 years old. Trent goes on to share the inspiration and challenges behind founding Pylon Lending, a company at the forefront of developing AI-driven, fully automated mortgage origination technology. The discussion delves into how Pylon's innovative platform is designed to dramatically reduce operational costs and streamline the mortgage process, with the ambitious goal of disrupting the traditional lending industry. Dustin and Trent explore the broader implications of automation and artificial intelligence in financial services, and what this means for both lenders and borrowers in the years ahead. Listeners can look forward to part two of this compelling interview, where Dustin and Trent will take an even deeper dive into Pylon's growing impact on the mortgage industry, the future of lending technology, and what's next for both Trent and his groundbreaking company. TLOP's Originator Coaching:

When the news moves faster than we can process it, how do we grasp what any of it actually means for our lives? And what happens when that overwhelming feeling isn't accidental, but rather a deliberate political strategy (“flooding the zone”) designed to ensure that no issue of consequence can get the sustained attention it deserves? Strategic futurist Jason Tester has pioneered an answer—“speculative journalism,” a new form of what-if reporting on high-probability, high-stakes futures before they materialize. Through two novel projects created over the past year, Tester demonstrates how this approach can make abstract or hypothetical consequences feel urgent, visceral and deeply personal. His project One Big Beautiful Aftermath: Dispatches from Near-Future America translates the sprawling “One Big Beautiful Bill” into compelling human stories, revealing the legislation's projected impacts on everyday Americans in the coming years. His other groundbreaking scenario, Insurrection: An American Future, has proved disturbingly prescient. Published in January 2025, months before federal forces were deployed to Los Angeles, Washington D.C., and Minneapolis, it depicts an eerily similar de facto military occupation of San Francisco's streets. But creating photorealistic imagery of events that haven't happened raises hard questions: When does “fake news for good” risk becoming just fake news? And who gets to decide? Join Jason in conversation with Michelle Meow to explore how speculative journalism can cut through information overload to strengthen democracy, the crucial role generative AI plays in telling these stories, the ethical red lines this work demands, and why reporting from tomorrow might be the most important journalism we can do today. About the Speaker Jason Tester is a strategic futurist and speculative designer whose work explores the human consequences of political, technological and social transformation. For more than two decades, he has used visual and immersive storytelling to make future possibilities more understandable and resonant for numerous companies, nonprofit organizations and governments around the world. A former research director at the Institute for the Future in Palo Alto, Tester is a leading figure in the field of speculative design and a fierce advocate for democratizing futurism. Based in San Francisco for more than two decades and deeply rooted in the city's LGBTQ+ community, his work has been featured in The New York Times, The Wall Street Journal, Wired, and on MSNBC and CNN. See more  Michelle Meow Show programs at Commonwealth Club World Affairs of California.   Learn more about your ad choices. Visit megaphone.fm/adchoices

Is your car your happy place? You're definitely not alone. Today we dive into why so many Americans love hanging out behind the wheel, why sleep is officially winning the battle against socializing, and Marcus shares stories from his latest adventure in Palo Alto. Equal parts relatable, slightly unhinged, and very Bay Area.See omnystudio.com/listener for privacy information.

(Presented by TLPBLACK: A cybersecurity intelligence platform focused on sharing curated, high-sensitivity threat insights and research with trusted security professionals.) Three Buddy Problem - Episode 98: We dive back into the fast16 malware discovery with fresh speculation that it's targeting spherical implosion simulations for Iran's nuclear program, and wonder who on earth is qualified to confirm this. Plus, thoughts on OpenAI's new three-tier cyber access program, Microsoft's MDASH harness, the 10x Patch Tuesday tsunami, Cloudflare's 1,100 layoffs blamed on AI, and why frontier-lab guardrails may just be elaborate security theater. Cast: Juan Andres Guerrero-Saade, Ryan Naraine and Costin Raiu. Timestamps: 0:00 - Introductory banter 3:19 - fast16 update: spherical implosion simulations? 9:01 - Manhattan Project precedent — why this matches Iran 12:28 - Who can actually reproduce the FAST 16 attack? 19:32 - Google GTIG's "AI-written" zero-day 22:13 - The rise of AI-backend "silent detections" 25:54 - Guardrails as security theater 38:47 - Are the 10x patch numbers real defense? 43:48 - OpenAI's Trusted Access tiers + Microsoft MDASH 53:35 - End of the ‘patch-and-pray' model 57:50 - Sean Heelan: strict harnesses can make models worse 1:03:51 - Pwn2Own Berlin overflow and bug-density debate 1:12:24 - Cloudflare's 1,100 layoffs and AI as scapegoat 1:27:42 - RCS encryption, Android Intrusion Logging, Seedworm & Kazuar

At RBC Capital Markets' Private Tech Conference, Dan Nathan interviews RBC analysts Brad Erickson, Rishi Jaluria, Matt Swanson, and Matt Hedberg on Q1 earnings and AI's impact across internet and software. Erickson says demand is solid, hyperscalers are raising CapEx as cloud ROI improves, and explains why Meta's higher spend hurt the stock versus Google/Amazon's accelerating cloud revenue and margins; he ranks Amazon over Google over Meta and discusses Uber's AV positioning versus Waymo. Jaluria is bullish on Microsoft's broad AI opportunities, notes Copilot's growing paid users, and discusses multimodel strategy, small/medium models, and Oracle's controversial OpenAI-linked data center build and financing. Swanson covers ad/martech, highlighting Adobe's “orchestration” narrative, Trade Desk's holding-company tensions, and AppLovin's ROAS-driven model. Hedberg argues cyber and infrastructure need “more, not less” security post-Anthropic's Mythos, cites capitulation in software sentiment, favors consolidators like CrowdStrike, Palo Alto, Snowflake, Datadog, and ServiceNow, and notes AI-driven efficiency and layoffs as potential catalysts amid continued volatility. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Adeena Sussman has published three solo cookbooks, with the latest, Zariz, landing as the culmination of a possible trilogy, arriving after Sababa and Shabbat. Adeena is a Tel Aviv–based, Palo Alto–raised food writer who joins me in the studio for a great conversation. I absolutely love an Adeena Sussman cookbook, which includes her own work as well as collaborations with Chrissy Teigen and others. Adeena's books are creative, thoroughly tested, and show how Jewish food identity is represented in multitudes around the world. In this episode, we talk about her life in Israel and how this new book was written with ease in mind. Subscribe to This Is TASTE: ⁠⁠Apple Podcasts⁠⁠, ⁠⁠Spotify⁠⁠, ⁠⁠YouTube⁠⁠       Learn more about your ad choices. Visit megaphone.fm/adchoices

Most product decisions get made by analogy. Someone says, "This is how we've always done it," or "This is what the market expects," or "This is what the competition is doing." The room nods. The decision gets made. And buried somewhere in the middle of all of it is an assumption nobody checked. First-principles thinking is the discipline of identifying assumptions before the market finds them for you. By the end of this episode, you'll have the tools to strip any problem down to what's actually true and build answers that hold, even when the boardroom is watching, and the clock is running. What Is First Principles Thinking? First principles thinking is the practice of breaking a problem down to its fundamental truths, then building your solution up from what actually holds. Not from industry convention. Not from what worked last time. From what's actually true about the problem in front of you. The alternative is reasoning by analogy: doing what worked before, doing what competitors do, doing what the category expects. Analogy is faster and usually right. It fails badly when the thing that used to be true stops being true and nobody notices. Why Assumptions Go Unchecked In 2005, HP's CEO, Mark Hurd, stopped me in the hallway at Building 20 in Palo Alto and drilled me on HP's R&D funding. The metric he focused on was R&D as a percentage of revenue. He wanted HP's ratio to look more like Acer's. I pushed back. I argued we should be comparing ourselves to Apple, not Acer. Mark didn't hesitate. "We are not Apple, and we never will be." What stopped me in that moment wasn't the disagreement. It was the certainty. Nobody in the room questioned whether R&D as a percentage of revenue actually measured what we thought it measured. That metric had been in use for decades. Every competitor used it. Every analyst tracked it. It felt like bedrock. It wasn't. It was an inherited constraint that had calcified into a rule. R&D as a percentage of revenue tells you about accounting categories. It tells you nothing about what that spending produces, whether the right problems are being attacked, or whether innovation output is growing or shrinking. The assumption underneath the metric had never been tested. Nobody had ever asked whether comparing R&D ratios across companies with entirely different business models actually tells you anything meaningful. The cost of that unchecked assumption didn't show up in the next quarter. It showed up over the following decade. HP's innovation pipeline quietly drained, and the Fast Company "Most Innovative" recognition we'd earned three years running disappeared with it. One inherited metric, accepted as fact by an entire room of experienced people, making a generational decision. That's what derivative thinking actually costs. Not a bad quarter. A decade. The people in that room weren't careless. They were experienced. Experience is exactly what makes inherited assumptions feel like facts. The metric felt like a fact. It was a choice nobody remembered making. That's exactly what a first principles question would have caught. Nobody asked it. The Three Core Skills The three skills run in sequence, and each one depends on the one before it. The first, Strip the Assumptions, finds the inherited assumptions baked into how the problem was framed. From there, Test What Remains and Build Up takes what survived and builds your solution from what's actually true. Finally, When to Use First Principles tells you when the process is worth running in the first place. Skip ahead, and the later skills don't hold. Run them in order, and they compound.  Strip the Assumptions Before you can reason from first principles, you have to know what you're actually working with. Most problems arrive already carrying assumptions in how they're framed. Your first job is to find them. Steps to strip assumptions: Write the problem exactly as it was given to you. Don't improve the framing yet. Use their words. Underline every word that implies a constraint. "Must," "can't," "always," "never," "the only way to." Each one is a candidate. Ask, for each constraint: is this physically true, or is it inherited? A physical truth holds regardless of what you decide. An inherited constraint is someone's prior decision that calcified into a rule. Set the inherited constraints aside and restate what remains. This is the real problem. It's usually smaller and easier to solve than what you started with. Treat what survives as your design constraints. These are your real boundaries. Take this list into your brainstorming, and test every idea against what's on it, not against the assumptions you crossed out. This step takes 20 minutes when you do it honestly. Most teams skip it entirely, then spend months optimizing a solution to the wrong problem. Test What Remains and Build Up Not every constraint is an assumption. Some things are actually true: physics, unit economics, human behavior at scale. The goal isn't to pretend those constraints don't exist. It's to be precise about which reality you're dealing with. Steps to test what remains and build up: Take each surviving constraint and push on it. Ask: Is this true because it's physically impossible to change, or because changing it would be expensive, unfamiliar, or uncomfortable? Expensive and unfamiliar are not the same as impossible. Separate the hard limits from the soft ones. Hard limits are what's actually true: things that hold regardless of how the problem is reframed. Soft limits are negotiable. Label them clearly. Most teams never make this distinction and treat every constraint as if it were granite. State your hard limits in plain language.  Write it down. One sentence per hard limit. These are the actual boundaries your solution has to honor. Reason forward from what remains. Don't start from where the industry is and work backward to justify it. Now ask: what solution do the hard limits support?  That last step is where unexpected solutions come from. When you reason backward from convention, you arrive at a modified version of the existing answer. The shape is familiar because you started with it. When you reason forward from hard limits, you land somewhere the category didn't expect, because you weren't anchored to the shape of the existing answer. Solutions built this way often feel strange at first. People will question them. That discomfort is usually a signal you've found something real rather than something inherited. That's what reasoning from what's actually true produces, rather than reasoning from what everyone assumed. When to Use First Principles Before running the process, ask these four questions. One yes is enough. Has the environment this decision was built for changed significantly? Does every solution on the table feel like a variation of the same thing? Is the current approach inherited rather than chosen? Would a bad assumption here cost you more than an afternoon to find and fix? If all four are no, past experience is the right tool. Use it.  The 20-minute assumption-strip is cheap. The cost of skipping it isn't. The Assumption Reversal Exercise For this exercise, you will need a partner. Have them watch this video first. They need to know what an inherited assumption looks like before they can spot yours. Once you're both ready, grab the free First Principles Thinking Checklist at innovation.tools or find the link in the description. It gives you both a shared reference point before you start.  Here is how it works: Each person brings one real problem. Something current, with actual stakes. Not a thought experiment. The problem should be one you've been turning over in your mind without arriving at a satisfying answer. Work on your partner's problem, not your own. You are trying to find the assumptions baked into how they've framed it. They are doing the same for yours. The reason this works is that you can see their inherited constraints more clearly than they can. You're not inside their problem the way they are. Each person lists every assumption they can find in the other's problem. Write them down. Don't argue yet. Don't evaluate. Just surface as many as possible. Quantity matters here. The obvious assumptions are easy. Push past them. Take each assumption and reverse it. If the assumption is "this requires a significant budget," the reversal is "what becomes possible if it requires no budget?" If the assumption is "the customer won't accept a different format," the reversal is "what would we build if they would?" Don't ask whether the reversal is realistic. Ask what it opens up. Discuss what the reversals revealed. Not every reversed assumption leads somewhere useful. But one of them usually exposes a constraint that was never as fixed as it felt. That's the one worth following. The point of the reversal is simple. Some assumptions hold when you push on them, and some don't. You can't tell which is which until you try. The Long Game Every time you run this process and find something that didn't hold, you get faster at spotting them. The judgment about when to use it gets sharper. That's what improvement looks like in practice: not a dramatic flash of insight, but a practiced ability to find the assumption in the room before it finds you. The assumption that costs you most isn't the one you haven't thought of yet. It's the one you stopped questioning years ago.  Find your partner. Run the Assumption Reversal this week. That's where this starts becoming a skill. Subscribe for the next episode. It builds on this.

"What we don't know CAN really hurt us, " says Florence Comite, M.D.  Comite is a Yale University School of Medicine and National Institutes of Medicine trained physician-scientist, endocrinologist, and the leading voice in the field of precision medicine and healthy longevity. She was founder of the first global women only health center at Yale three decades ago and is founder of the Comite Center for Precision Medicine & Healthy Longevity in 2005, in New York, with satellite offices in Palo Alto and Miami Beach. Her new book, Invincible: Defy Your Genetic Destiny to Live Better, Longer, was published by Little, Brown Spark in April 2026.  Catch this week's episode of mindbodygreen podcast, created in sponsorship with Toyota. For vehicles designed for all that life has to offer, check out the 2026 RAV4, Sienna, Highlander, and Grand Highlander. Hop in, turn on the episode, and enjoy every mile.  00:00 - Aging starts in your thirties 01:55 - The decline of testosterone 07:29 - How genetics dictate aging 10:08 - Increasing testosterone  12:30 - Hormone therapy 17:59 - A DHEA story 20:37 - Metabolic markers 26:11 - Using a continuous glucose monitor 33:13 - Heart medication & testing 36:06 - Personalized medicine & prevention 39:56 - The Alzheimer's spectrum 42:38 - Genetic variables & testing 49:00 - The trouble with AI in medicine For more about Comite, visit her website: https://florencecomite.com/  Buy her book here: https://a.co/d/0cnOvaH8  We hope you enjoy this episode, and feel free to watch the full video on YouTube! Whether it's an article or podcast, we want to know what we can do to help here at mindbodygreen. Let us know at: podcast@mindbodygreen.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

【國際對話英語實戰課：英語溝通 × 臺灣韌性】 敏迪親自籌備、製作的全新課程！不只是一堂學英文的課，更是一堂教你「如何像外交官一樣思考」、直球對決臺灣國際處境、地緣政治，並培養英語韌性的深度溝通課！ 敏迪 / 李可心 / Wallace / 蕭宇辰 / 臺灣吧 Taiwan Bar https://twbar.cc/0AmSk 輸入【 mindi500 】再享500元折價優惠呦！ . 【立刻體驗 NordVPN 多重功能】 專屬優惠連結：https://nordvpn.com/mindi 輸入優惠碼【mindi】享期間限定優惠 購買兩年方案就會加送 4 個月， 還有 30 天退款保證，不喜歡隨時可以取消。 . 【敏迪小巡迴－舊金山灣區場 Startup Island TAIWAN - Silicon Valley】 時間：5/16(六) 下午 2:00–4:00 主題：如何進行一場有建設性的對話 地點：Startup Island TAIWAN - Silicon Valley Hub 地址：299 California Ave STE 300, Palo Alto, CA 報名連結：https://luma.com/3xv0ugix . 本集重點： 00:08:57 美國削減駐德美軍 00:29:25 北韓放棄與南韓統ㄧ但為什麼 00:50:36 塞席爾為何阻擋台灣總統 01:14:01 人工生殖講座心得 . . 會員專屬版本： 00:08:22 美國削減駐德美軍 00:28:46 北韓放棄與南韓統ㄧ但為什麼 00:48:48 塞席爾為何阻擋台灣總統 01:12:13 人工生殖講座心得 . . 這裡可以找到所有的敏迪 portaly.cc/mindiworldnews -- Hosting provided by SoundOn

(Presented by TLPBLACK: A cybersecurity intelligence platform focused on sharing curated, high-sensitivity threat insights and research with trusted security professionals.) Three Buddy Problem - Episode 97: We discuss the disappearing art of Windows APT paleontology, the absence of complex malware documentation, and why so much threat-intel research has slipped behind paywalls and into private rooms. Plus, a surge in AI-discovered bugs in Firefox and Chrome, a rough week for Linux security flaw disclosures, and the usual Ivanti and Palo Alto zero-day bulletins that ship without a single IOC. Cast: Juan Andres Guerrero-Saade, Ryan Naraine and Costin Raiu. Timestamps: 0:00 - Introductory banter 1:17 - Inside TLP-Red: writing hashes by hand 3:57- fast16 fallout and the threat intel trust collapse 9:17 - The death of cyber paleontology on Windows 14:49 - Mobile is the new paleontology frontier 15:48 - When threat intel went private: the CrowdStrike effect 23:29 - Falling sideways into intelligence brokerage 36:05 -- AI, Easter eggs, and the loss of malware artistry 47:22 -- Will the Frontier Labs publish threat intel? 51:43 -- fast16 follow-up reports coming 1:09:38 - Mythos, Aardvark, and the patch tsunami 1:15:33 - CopyFail and the Linux reboot crisis 1:51:05 - UAPs, Pulitzers, last-ever LabsCon, and shoutouts

OOTD Palo Alto heritage park

CISA warns CopyFail is under active exploitation. Attackers compromise installers for a widely used disk imaging utility. MuddyWater masks cyberespionage as ransomware. Attackers spread malware through a fake OpenClaw plugin. Researchers ID a new Linux RAT. Vimeo blames a third party provider for a recent breach. Palo Alto's Captive Portal is under attack. The FTC settles with a data broker over location sharing. A former Conti gang member gets jail time. Our guest is Dov Yoran, CEO of Command Zero, discussing how cybersecurity teams are fighting AI with AI. Geotargeting turns creepy. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today we are joined by Dov Yoran, CEO of Command Zero, discussing how cybersecurity teams are fighting AI with AI. Selected Reading Attackers are cashing in on fresh 'CopyFail' Linux flaw (The Register) Hackers compromise Daemon Tools in global supply-chain attack, researchers say (The Record) Iranian APT Intrusion Masquerades as Chaos Ransomware Attack (SecurityWeek) Malicious OpenClaw Skill Targets DeepSeek Agentic AI Workflows (Cyber Press) Sophisticated Quasar Linux RAT Targets Software Developers (SecurityWeek) ShinyHunters claims dump puts 119K Vimeo emails in the wild (The Register) Palo Alto Networks warns of firewall RCE zero-day exploited in attacks (Bleeping Computer) FTC bans data broker Kochava from selling sensitive location info (The Record) Conti, Akira Affiliate Sentenced to 102 Months in Prison for Ransomware and Extortion Operations Targeting over 50 Organizations (TechNadu) A college student is suing a dating app that allegedly used her TikTok videos to target men in her dormitory (CyberScoop) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

【舊金山灣區要買賣房請找房迷】 如果自己或住在灣區的親友要買賣房子，蔡於恩會全力幫您服務 『每天都要看房迷、看到房迷一定要按讚』 目標沒別的，要跟大家一起，過更好的生活！ 房迷傳送門: https://linktr.ee/ytsai.realtor . 勘誤：我講錯啦，不是16,000篇，是1,600篇 . . 【國際對話英語實戰課：英語溝通 × 臺灣韌性】 敏迪親自籌備、製作的全新課程！不只是一堂學英文的課，更是一堂教你「如何像外交官一樣思考」、直球對決臺灣國際處境、地緣政治，並培養英語韌性的深度溝通課！ 敏迪 / 李可心 / Wallace / 蕭宇辰 / 臺灣吧 Taiwan Bar https://twbar.cc/0AmSk 輸入【 mindi500 】再享500元折價優惠呦！ . . 【敏迪小巡迴－舊金山灣區場 Startup Island TAIWAN - Silicon Valley】 時間：5/16(六) 下午 2:00–4:00 主題：如何進行一場有建設性的對話 地點：Startup Island TAIWAN - Silicon Valley Hub 地址：299 California Ave STE 300, Palo Alto, CA 報名連結：https://luma.com/3xv0ugix . . 【敏迪小巡迴－洛杉磯場 Formosa Aroma 島嶼茶鄉】 時間：5/19(二) 19:00-20:30 主題：如何面對外國友人對台灣的疑問 地址：5570 Rosemead Blvd Suite 130, Temple City, CA 報名連結：https://forms.gle/LBM9KURBaQYJRrBx9 . 本集重點： 00:10:17 阿聯退出OPEC對世界的影響 00:44:22 義大利引渡中國駭客到美國 00:58:44 白官記者晚宴槍擊案 01:16:47 使用Claude Code心得 . . 會員專屬版本： 00:09:30 阿聯退出OPEC對世界的影響 00:43:32 義大利引渡中國駭客到美國 00:57:08 白官記者晚宴槍擊案 01:15:11 使用Claude Code心得 . . 這裡可以找到所有的敏迪 portaly.cc/mindiworldnews -- Hosting provided by SoundOn

John McNellis joins Amanda Cruise and Ash Patel to break down the lessons from his decades-long career in retail development, including why he republished his book with deeper insights and greater transparency about his biggest mistakes. He explains why retail is far from dead, how supply constraints drive long-term value, and why he's remained focused on a tight geographic niche instead of chasing scale. John also dives into ground lease strategies, the dangers of overleveraging, and why metrics like IRR can be misleading compared to focusing on what you actually earn. Throughout the conversation, he emphasizes disciplined growth, sticking to your “weight class,” and building a sustainable real estate career that prioritizes longevity over hype.  John McNellis Current role: Owner and Writer at McNellis Partners Based in: Palo Alto, California Where to find them: https://www.linkedin.com/in/john-mcnellis-b6a1674/ Learn more about your ad choices. Visit megaphone.fm/adchoices

A fatal fire that struck a young couple's Palo Alto home appears to be an accident until investigators took a closer look. Keith Morrison reports. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.