Podcasts about Supermicro

Dagen er kommet: SpaceX går på børsen i, hvad der bliver verdens største IPO nogensinde - omkring tre gange så stor som Aramcos rekord og prissat til ~1,7 billioner dollars. Mads og Mathias forsøger at danne overblik over de specielle lock-up-regler, de ~4% af aktierne der frigives, performance-triggers og Elons egen etårige binding. Vigtigst af alt folder de bull-casen ud: et klip med tech-investor Brad Gerstner, der kalder aktien en "must-own" for institutionelle investorer - og hvorfor den danske value-tilgang ifølge Mads helt misforstår, hvad SpaceX i virkeligheden er. Reusable rockets, terrestriske datacentre, Google som ny storkunde og Starlink er hele regnestykket.   Undervejs er der war update fra Iran (olien i 84 dollar som fredstegn, nedskudt Apache-helikopter, spændinger mellem Netanyahu og Trump og en fredsplan på bordet), et CPI-tal på 4,2% - det højeste siden 2023 - og en ECB der hæver renten midt i en svag europæisk økonomi, mens Kevin Walsh-tesen om lavere renter i USA lever videre. På kryptosiden har Bill Gurley en skarp pointe om, hvordan stablecoins truer Visa og Mastercard, der har den højeste operating margin i forretningshistorien. Plus markedsnyheder: Google køber TPU'er hos Intel, Supermicro rejser 7 mia. dollars (og falder 28%), SoftBank dykker 8%, og Jeff Bezos starter ingeniør-AI-selskabet Prometheus.   Ugens tema er USA vs. Europa som investeringscase: teknologisk lederskab, en amerikansk ledelse der aktivt accelererer innovation (billig energi, fjernet red tape, klar vision), og skiftet fra finansialisering mod produktion. Mads' Bloomberg-overskriftsanalyse siger det meste - en lang liste af amerikanske tech-navne over for Europas ene: ASML. Plus ugens køb i Pluto.Markets-porteføljen: Supermicro Computer, Ciena (CIEN) og Marvell.     Denne episode er sponsoreret af Naluvi. Peter Jensen hjælper små og mellemstore virksomheder med alt inden for regnskab, rapportering og økonomi. Læs mere om de forskellige services på Naluvi.dk.   Denne episode er sponsoreret af Finobo. Få et gratis økonomitjek hos specialisterne i låneoptimering ved at bruge linket: finobo.dk/gratis-oekonomitjek-aktieuniverset/ Prøv den nye omlægningsberegner på Finobo.dk/beregner-omlaegningsberegner/?utm_source=aktieuniverset   Denne episode er sponsoreret af Pluto.markets. Invester i aktier og ETF'er uden kurtage. Læs mere på pluto.markets, og se vores modelportefølje på pluto.markets/aktieuniverset.   Skriv os en mail på aktieuniverset@gmail.com, hvis du og dit produkt vil være en del af sponsorfamilien af podcasten.     Tjek os ud på: FB gruppe: ⁠facebook.com/groups/1023197861808843⁠ X: ⁠x.com/aktieuniverset⁠ IG: ⁠instagram.com/aktieuniversetpodcast⁠   Aktieuniverset modelportefølje: Modelporteføljen samt tilhørende vilkår og disclaimer kan ses på pluto.markets/aktieuniverset   DISCLAIMER: Aktieuniverset indeholder markedsføring af investeringsforeningen Portfoliomanager NewDeal Invest, kl n (PMINDI), som Mads Christiansen er investeringsrådgiver for. Podcasten kan ligeledes referere til andre fonde. Indholdet i podcasten udtrykker alene værternes og gæsters egne holdninger, refleksioner og analyser, og skal ikke opfattes som en personlig anbefaling af bestemte værdipapirer eller strategier. Podcasten skal ikke anses som investeringsrådgivning, da den enkelte lytters finansielle situation, nuværende aktiver eller passiver, investeringskendskab og -erfaring, investeringsformål, investeringshorisont, risikoprofil eller præferencer ikke kan inddrages. Det afhænger af den enkelte investors personlige forhold og målsætning, om en bestemt investering eller investeringsstrategi er hensigtsmæssig, og vi anbefaler, at man rådfører sig med sin investeringsrådgiver, inden en eventuel beslutning om investering tages. PMINDI kan findes via Nordnet (nordnet.dk/markedet/investeringsforeninger-liste/18148998-portfolio-manager-new-deal-invest), Saxo Bank (saxoinvestor.dk/investor/page/product/Fund/38109485) eller ved at søge på ”DK0062499810” i din egen netbank. PMINDI er kun egnet for investorer med høj risikovillighed og en investeringshorisont på mindst 5 år. Alt investering medfører risiko, herunder potentielt tab af kapital. Historisk afkast er ikke en indikator for fremtidigt afkast, der kan afvige meget eller være negativt. Læs PRIIP KID for PMINDI for fulde risikoscenarier: https://fundmarket.dk/newdeal-invest-kl-n/. Overvej risici og fordele nøje før investering. Læs mere om risici her: newdealinvest.dk/risici/ og generelt om investeringsforeningen på newdealinvest.dk. Vil du have en månedlig oversigt over alle positionerne i PMINDI? Så skriv dig op til nyhedsbrevet her: newdealinvest.dk/nyhedsbrev/. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ignacio Vacchiano, country manager en Iberia de Leverage Shares, analiza el momento de los mercados bursátiles en Estados Unidos, el estado de los bonos y la salida a Bolsa de SpaceX, el mayor estreno bursátil de la historia. “Todos los inversores quieren acciones de SpaceX, creo que subirá hoy”, afirma el invitado. La compañía recaudará 75.000 millones de dólares a través de la venta de 555 millones de acciones, con un precio fijado de 135 dólares cada una. Además, todo esto le servirá para alcanzar una valoración de 1,77 billones de dólares, lo que le permitirá ser la octava empresa con mayor capitalización del mundo. Además, esta salida a Bolsa hace que Elon Musk sea ya el primer billonario del mundo. ¿Está justificada la valoración? “Todos los analistas apuntan a que la valoración es exagerada”, nos cuenta el country manager en Iberia de Leverage Shares. También asegura que “no se puede valorar en precio beneficios a 12 meses porque todavía no tiene beneficios”. En el after hours también destaca Adobe, la compañía cae más de un 5% después de presentar cuentas al cierre. Sus ingresos de 6.620 millones de dólares se quedan más de 200 millones por debajo de las estimaciones de los analistas. Además, al mercado parece no gustarle la salida de su director financiero, Dan Durn, que se marcha a Marvell. En el Nasdaq, los valores relacionados con los semiconductores se recuperaron de las caídas. Marvell se recuperó de sus caídas y acabó la sesión con una subida del 11%. Intel avanzó casi un 10%, Qualcomm subió más de un 6% y Super Micro logró un alza del 9%, recuperándose también de sus últimas caídas. La nota negativa fue Oracle, que bajó más de un 8% después de decepcionar con sus cuentas. ¿Hay burbuja en el sector? “Yo creo que es un toque de atención a todos en cuanto a cómo están las valoraciones y que hay una bruja que se está haciendo”, nos comenta el entrevistado.

George Tsilis walks us through this morning's top moving stocks at the opening bell. He points to Barclay's raising price targets in KLA Corp. (KLAC), Applied Materials (AMAT), and Lam Research (LRCX) as all stocks continue record runs. JP Morgan also raised its price target for Seagate (STX). George then turns to Super Micro's (SMCI) pricing of its equity offering that sparked a 28% sell-off Wednesday. ======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe 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

Unser Partner Scalable Capital ist der einzige Broker, den deine Familie zum Traden braucht. Bei Scalable Capital gibt's nämlich auch Kinderdepots. Alle weiteren Infos gibt's hier: scalable.capital/oaws. Inflation drückt Tech. SpaceX lockt Staatsfonds. Super Micro will Cash. Hyundai baut Robotik aus. GM steigt in Batterie-Markt ein. Mercedes kooperiert bei Drohnen. BYD baut Ladestationen. Amazon attackiert LKW-Logistik. Neura Robotics holt Cash. Rivian liefert. Meliá Hotels (WKN: 901347) ist Spaniens größte Hotelkette und setzt voll auf Luxusresorts. Asset-Light-Modell, Großinvestor an Bord, 40% Plus seit Jahresbeginn. Wie viel geht da noch? Krypto steckt in der Krise. Galaxy Digital steigt 20% wegen KI. Kleine Krypto-ETFs drohen zu schließen. Aber DraftKings (WKN: A2P205) kontert mit eigenem Prediction Market und wächst stark. Diesen Podcast vom 11.06.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. Learn more about your ad choices. Visit megaphone.fm/adchoices

Andrew, Ben, and Tom discuss Trump's Truth Social post declaring Iran's military "completely defeated" and the deal effectively dead, today's CPI print with consensus at +4.2% headline, the BOJ rate hike path complicated by Governor Ueda's hospitalization, Super Micro's $7 billion dilutive stock offering to fund $39 billion in backlog orders, the building AI supply overhang from OpenAI's S-1, Google, SpaceX, and Perplexity's 2028 IPO plans, Claude Fable 5's release stabilizing tech, TSMC's 30% May sales rebound, and Oracle earnings tonight.Join our live YouTube stream Monday through Friday at 8:30 AM EST:http://www.youtube.com/@TheMorningMarketBriefingPlease see disclosures:https://www.narwhal.com/disclosure

Market update for Wednesday June 10thCheck out the Public app for incredible investing tools and to support the show (LINK)Follow us on Instagram (@TheRundownDaily) for bonus content and instant reactions.In today's episode, Zaid covers:Inflation heats up to 4.2% in May, the hottest reading in three years Anthropic releases Mythos 5, the AI model it once called too dangerous for the publicNvidia and Google are co-signing massive data center deals for OpenAI and Anthropic Cracker Barrel posts a surprise profit Super Micro sinks on a $7 billion stock saleFun Fact: the Knicks are making $20 million per home game at the NBA Finals

En el episodio de hoy Juan Manuel de los Reyes y Valentina Orduz hablaron sobre como los mercados vivieron una jornada marcada por la tensión geopolítica: el anuncio de ataques militares de EE.UU. contra Irán provocó una caída de más del 3% en el Nasdaq en cuestión de horas. En este episodio analizaron qué significa este conflicto para los mercados y cómo distinguir el ruido de las señales verdaderas. También revisaron el dato de inflación de mayo, que podría cruzar el 4% por primera vez en tres años, y lo que eso implica para las tasas de interés y las decisiones de la Fed. Además, exploraron el reporte de consumo de Bank of America, que confirma una economía resiliente pero profundamente desigual, y cerraron con el caso de Super Micro: una empresa que recibió $39 mil millones en pedidos de IA y aun así cayó 9% después del cierre. Un episodio cargado, pero esencial para entender el momento que estamos viviendo.

Los futuros sobre índices de Bolsa de Estados Unidos ampliaron pérdidas tras últimos comentarios de Trump. El presidente dice estar cerca de ordenar nuevos ataques contra centrales eléctricas y puentes iraníes. Luego, con dato de inflación en línea con las previsiones, aflojaron las ventas. El IPC repunta en línea con lo esperado en mayo: +4,2%. La subyacente se mantiene por debajo del 3%. Comprobamos y preguntamos si altera la trayectoria de los tipos de interés en la primera economía del mundo. Sigue la debilidad en acciones tecnológicas. Super Micro cae tras anunciar su plan de recaudar 7.000 millones de dólares mediante emisiones de acciones. De sentimiento de mercado y estrategia hablamos con Pedro del Pozo, de Mutualidad. En Bolsa española, y dentro del Ibex35, lideran las subidas Colonial, Logista y Fluidra. Al frente de los recortes están las Acciona, Arcelor y Amadeus.

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Learn more about OVTLYR: https://youtu.be/TUCbD5KovlcEverybody's celebrating new all-time highs.The headlines are bullish. The charts look incredible. And everywhere you look, people are saying the same thing:"The market only goes up."But here's the question nobody seems to be asking...What if the rally isn't as strong as it looks?In this video, we're digging into some surprising data that's starting to flash warning signs beneath the surface. While the S&P 500 keeps pushing higher, only about half of the stocks in the market are actually participating in the move. At the same time, investor optimism is reaching levels that have historically made traders a little uncomfortable.Could this be the beginning of a bigger pullback? Or are these just normal bumps in a powerful bull market?We'll break it all down.✅ Why market breadth matters more than most investors realize✅ The warning signs hidden inside fear and greed data✅ What the put-call ratio is saying right now✅ Stocks flashing fresh sell signals✅ New opportunities showing up in names like Palantir, Super Micro, Microsoft, and DellThe goal isn't to be bullish or bearish.It's to stay objective.Because when everyone is chasing the same trade, that's usually when smart money starts asking different questions.Watch until the end as we break down where the biggest opportunities and risks may be hiding right now.Subscribe to OVTLYR for disciplined trading strategies that actually make sense.

What happens when three developers burn through $1.3 million in AI compute in just 30 days? This week on the Tech Field Day News Rundown, Tom Hollingsworth and Alastair Cooke break down the explosive cost of AI coding agents after OpenClaw revealed massive token usage powered by OpenAI systems, raising serious questions about whether autonomous development workflows are financially sustainable. They also discuss AT&T's legal battle to shut down California's copper phone network, Governor Gavin Newsom's new AI workforce disruption initiative, IBM's billion-dollar quantum chip foundry project in New York, NVIDIA's growing export-control pressure tied to Super Micro investigations, Check Point's acquisition of Deepchecks to secure AI agents, and Pope Leo XIV's unprecedented warning about AI-driven inequality, warfare, and “digital colonialism.” From infrastructure modernization to AI regulation and quantum computing, this episode explores the biggest forces reshaping enterprise technology in 2026.Time Stamps: 0:00 - Cold Open0:26 - Welcome to the Tech Field Day News Rundown1:26 - OpenClaw Creator Hits $1.3M OpenAI Bill in One Month4:25 - AT&T Sues to End POTS Service8:29 - California Orders Major AI Workforce Plan to Fight Job Displacement13:19 - IBM and U.S. Commerce Dept Back $1B Quantum Chip Foundry Push16:19 - NVIDIA CEO Urges Stricter Export Controls Amid $2.5B AI Chip Smuggling Scandal21:12 - Check Point Buys Deepchecks to Power New AI “Agentic Security” Platform25:19 - Pope Leo XIV Calls for “Disarmament” of AI in Landmark Encyclical34:31 - The Weeks Ahead: Upcoming Tech Field Day Events36:46 - Thanks for Watching the Tech Field Day News RundownFollow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets!This was recorded before Railway suffered a major GCP outage on May 19, despite being a multi-AZ, multi-zone mesh ring, with HA fiber interconnects between their Metal GCP AWS, because workload discoverability was unintentionally still tied to GCP. All has been resolved with a post-mortem.Railway did not start as an AI infrastructure company.It was founded in 2020 years before agents became the default way people thought about deploying software. Jake Cooper, formerly at Bloomberg and Uber, started Railway with a simple obsession: the activation energy to ship something to production should be near zero. Push code, get a URL, iterate. No Docker files, no Kubernetes manifests, no Ansible scripts stacked on Ansible scripts.For years, this was a slow grind. Railway spent its first 18 months hand-acquiring its first 100 users with Jake personally greeting every Discord signup on a second monitor.Today, Railway has raised $124m and is growing very fast. A 35-person team supports 3 million users, adding roughly 100,000 signups a week. Their bare metal data centers have a 3-month payback period vs. renting in the cloud, with 70% margins funding aggressive cloud bursting when needed. The servers they own have actually appreciated in value as RAM prices have climbed basically meaning the value of their hardware now exceeds the capital they've raised.From rebuilding Railway's network overlay over a weekend to moving the vast majority of workloads onto its own bare metal data centers, Jake Cooper is trying to build a new cloud for an agent-native world. In this episode, Railway's founder and “conductor” joins swyx and Alessio to unpack why the next era of software infrastructure is not just “Heroku but newer,” what agents need that humans did not, and why the old deployment loop of Git, PRs, CI/CD, and static cloud resources may be heading for a rewrite.We go deep on Railway's infrastructure stack: own-metal data centers, three-month cloud payback periods, cloud bursting, data center debt, Railpack, Nixpacks, Temporal, feature flags, Central Station, content-addressable filesystems, agent-safe production forks, and why the CLI may become more important than the canvas in an agent world. Jake also shares the founder journey behind Railway, how the company survived losing $500K/month, why it now serves millions of users with only 35 people, and why he believes the pull request is dying.We discuss:* How Railway went from a slow six-year grind to adding 100,000 users a week* How Railway thinks about agents as the next dominant software species* Why agents need version control, observability, compute, storage, and orchestration at 1000x scale* The economics of Railway's own-metal data centers and three-month payback* How Railway uses cloud bursting while scaling its own infrastructure* Why data center debt can be a better tool than venture debt for infra startups* Central Station, Railway's internal system for clustering customer feedback and incidents* Why responsible disclosure and over-communication matter for platforms* Why feature flags, progressive rollouts, and shadow traffic are essential for agents* Temporal's strengths, pain points, and why workflows matter for agents* Railpack, Nixpacks, Nix, and lazy-loaded content-addressable filesystems* Why “cattle, not pets” may change if you can clone the pets* Why Railway is building a new cloud from scratch instead of copying hyperscalers* The solo founder path, focus, writing, and how Jake thinks about company buildingRailway:* Website: https://railway.com/* X: https://x.com/RailwayJake Cooper:* LinkedIn: https://www.linkedin.com/in/thejakecooper/* X: https://x.com/JustJakeTimestamps00:00:00 Introduction: What Is Railway?00:02:07 Jake's Path to Railway00:06:13 Railway's Six-Year Growth Story00:08:52 Rebuilding the Business After the Free Tier00:11:17 Agents as the Next Software Platform00:13:29 Railway's Infrastructure Philosophy00:15:42 Bare Metal, Cloud Economics, and the Compute Crunch00:17:22 Cloud Bursting and Five-Cloud Networking00:20:20 Data Center Debt and Infra Financing00:23:31 Data Centers in Space00:25:24 What Agents Need From Infrastructure00:28:24 CLIs, Canvas, and Agent-Native UX00:35:15 Central Station, Incidents, and Responsible Disclosure00:40:30 Safe Rollouts, SRE Agents, and Production Forks00:45:00 AI SRE, Specs, Code, and Tests00:48:24 Self-Replicating Infrastructure and the New Serverless00:53:18 Heroku, Temporal, and Workflow Engines01:04:07 Railpack, Nixpacks, and Lazy-Loaded Filesystems01:06:01 Coding Agents, Token Spend, and Roadmap Acceleration01:10:56 The Pull Request Is Dying01:12:28 Feature Flags and the Agent-Era SDLC01:16:15 Cattle, Pets, and Cloning Machines01:19:29 Solo Founder Lessons01:24:12 Focus, GPUs, and Building a New Cloud01:28:20 Closing ThoughtsTranscriptAlessio [00:00:00]: Hey, everyone. Welcome to the Latent Space Podcast. This is Alessio, founder of Kernel Labs, and I'm joined by Swyx, editor of Latent Space.Swyx [00:00:10]: Hey, hey, hey. Today we're in the studio with Jake Cooper of Railway.Alessio [00:00:14]: Conductor of Railway.Swyx [00:00:15]: Conductor at Railway. Yeah.Alessio [00:00:16]: Choo-choo.Swyx [00:00:17]: Do you actually have that anywhere, like on your business card?Jake [00:00:20]: We call some of our volunteer moderators conductors. I don't have a business card. We're not that big yet. At some point I will. I got handed a nice business card from the Supermicro folks, and I was like, “Damn, this is pretty official.”Swyx [00:00:30]: Business cards are coming back.Jake [00:00:32]: They're cool. They're hip. The conductor thing is good. We're trying to figure out what we want to call each other internally. Some people think it's super cringe and say, “You don't need a name for people internally.” Some people want to call each other something. We still don't have a really good one.Jake [00:00:55]: We've got New Railcrews, Trainiacs. Nothing has stuck yet.Swyx [00:01:00]: I like Trainiac. Trainiac sounds good. Railwayians. For those who don't know, what is Railway? Let's give people a crisp definition up front.Jake [00:01:09]: Railway is the easiest way to ship anything. You go to the canvas, or you talk with Claude, and you say, “Deploy a Postgres instance, deploy my GitHub repository, run this code,” and you're off to the races.Swyx [00:01:22]: You've got a nice animation on the landing page.Jake [00:01:24]: Thank you. None of my work, by the way. They don't let me touch the design stuff anymore.Jake [00:01:25]: We want to make it trivially easy not just to deploy things, but to evolve applications over time. Most tooling right now stacks entropy on top of entropy: Docker, Kubernetes, Ansible scripts, and all these other things. If we can version all of your software and keep track of all the changes, then we can make it trivial to clone environments, fork into a parallel universe, get copies of production data, get copies of any services, make changes, validate them, and collapse them back in without reproducing everything across a staging environment.The Railway Origin Story: From Uber Systems to a New CloudSwyx [00:02:07]: I was looking at your background: Bloomberg, Uber. Nothing immediately stands out as, “This guy is going to found the next great platform as a service.” What prepared you for Railway?Jake [00:02:21]: It was curiosity to keep going deeper. I started out on front-end stuff, working on Wolfram Mathematica and porting it over. Then I briefly moved to Bloomberg, then toward Uber and distributed systems, taking the Jump Bikes systems and moving them to a distributed system built on top of Cadence, the pre-Temporal Temporal.Swyx [00:02:44]: Which, by the way, I'm happy to talk about, pros and cons.Jake [00:02:48]: Totally.Swyx [00:02:51]: But let's do the Railway story.Jake [00:02:52]: It has been a continual step of wanting an experience. Whether it's walking up to a bike, unlocking it, and having it work frictionlessly, or something else, the depth required to make that happen follows from the experience. A lot of the work I do, and a lot of the team does, is in service of that experience. We fundamentally don't care how deep we have to go. We will swim to the bottom of the swimming pool to get the experience.Jake [00:03:17]: I don't have a physics PhD. I did an EECS degree. It has always been about figuring out the next step: how do we get there? That's what led to starting Railway for that experience and then moving all the way to bare metal data centers. I was adding patches to the kernel this week to get the experience there because I can see how much better it can be.Swyx [00:03:49]: Other patches to the Linux kernel this week?Jake [00:03:51]: Yeah. Not upstream. Our fork.Swyx [00:03:52]: That's a flex. Railpack? No, this is different. This is the OS on top of Railpack?Jake [00:03:57]: No, this is an actual kernel patch. It's always literally: what do we have to do to get that experience? Then figure it out. Anything is figureoutable.Swyx [00:04:10]: Would you send the patch upstream, or does it not fit other use cases?Jake [00:04:13]: Maybe. We have to work out the experience internally. It has to do with the storage layer we're building for some of the agentic stuff. Maybe it'll be useful upstream, but it's deeply useful for us internally.Open Source, Forks, and Non-Deterministic VersioningSwyx [00:04:29]: You mentioned open source before. How do you think about starting from open source, and then coding agents letting you do a lot more from forks of it?Jake [00:04:38]: GitHub's original sin is that it's almost a series of broken pointers. You have this thing, then you clone it, and now you've lost the whole upstream. How do we make it trivial for people to modify really small pieces of it?Jake [00:04:51]: We think of Git in a discrete sense: I've either made a change and merged upstream, or I haven't. What would it look like if it were percentage-based, a little more non-deterministic, or a stream of changes that users traverse as a percentage rolled out in general and then rolled all the way up?Jake [00:05:13]: We have the open-source kickback program and let you deploy templates because we want to make it trivial for people to version these shards over time. It solves a large problem around authentication, authorization, and security. NPM has a way to define, “Don't take any new packages.” The ideal end state is that you roll out progressively to users with the minimum impact zone and continue rolling up. JPMorgan should probably be the last one on the patch line, for all our sakes, because our money and livelihoods are there.Jake [00:05:53]: It's okay if Johnny Vibe Coder gets a broken patch because there's so much entropy in the system that the rubber has to meet the road at some point. You have to test at varying levels.The Long Grind: First Users, Free Tier, and Making the Business WorkSwyx [00:06:13]: I wanted to pull up this glorious chart, which is your usage or number of daily signups?Jake [00:06:22]: Daily signups, I think.Swyx [00:06:24]: You started six years ago. It was a slow grind, and now you're on a rocket ship. You say, “Don't doubt your fight and don't quit.” Maybe pick out certain points that were key inflections for the company.Jake [00:06:40]: At the start, it's about getting your first 100 users, hell or high water. We had a website and a support link. The support link was the Discord channel. I had notifications on with two monitors: the monitor I was working on and the other monitor with Discord. If anybody came in, I was immediately like, “Hey, how's it going?” It was rare, so getting those first 100 users to come back was the start.Jake [00:07:14]: Then you build a consultancy factory because users want all these things. You have to go back to the board and ask, “What is the actual product offering I want to build on top of this?”Jake [00:07:28]: VCs want charts that always go up and to the right, but in reality you don't necessarily want charts that look like that. For us, there have been periods of expansion where we add features to test use cases, and periods of compaction where we ask, “If the experience we have is good, how do we make it significantly better?” Maybe we strip out features that don't fit our ICP anymore.Jake [00:07:57]: The boom from 2022 to 2023 came from the free tier. Everybody under the sun was using it.Swyx [00:08:09]: A lot of Reddit bots and Discord bots.Jake [00:08:12]: And crypto miners. When you build an open product on the internet where anybody can sign up, the internet is a horrible place with so many things. You go through periods of asking, “How do I reach as many people as possible?” Then, “How do I fit the exact use case for the people who really matter and are really excited about this specific thing?”Jake [00:08:39]: Then there was a two-year period of making the actual business work. During the free-tier era, we were losing about half a million dollars a month.Swyx [00:08:59]: On a $20 million bank account.Jake [00:09:02]: On a $20 million bank account with maybe $50,000 a month in revenue. That's a horrible business. I don't know how anybody invested. But you have to go through it and say, “We have an experience people love, but the business has to work.”Jake [00:09:17]: There are two schools of thought. You can run the horrible business all the way up with bad margins, or you can go back and make it work. We've always wanted a super lean team. We're 35 people right now. It's very small.Swyx [00:09:36]: Supporting three million already?Jake [00:09:38]: Yeah. We're adding 100,000 users a week right now, so it's growing fast. We don't want to add headcount for the sake of headcount or throw bodies at problems. We want to build systems. It's hard to build systems during expansion because you're adding things to the system because people are asking for them or things are breaking.Jake [00:10:00]: We had to cut off the free users for a little while, rebuild the business, and make sure it worked. We want to reach as many people as possible because software is important. It's become difficult to create things in the physical world, so it's important to make it easy for people to build in the virtual world and have access to creation. But there are legs to that journey.Jake [00:10:30]: You can see divots in the charts. If you follow between 2025 and 2026, it's either summer or winter. People go on holiday with family.Swyx [00:10:50]: It affects that much?Jake [00:10:51]: Yeah. It's kind of B2C and kind of B2B. People are shipping constantly, then they stop. Our activation curve now shows more people activating on weekdays because we have more business users, so it smooths out over time.Agents as the New Interface to DeploymentSwyx [00:11:17]: Was there a point where you started prioritizing AI development or agent development?Jake [00:11:24]: We've prioritized agentic as a top-of-funnel thing. Over the last six months, we've deeply prioritized agentic as a mechanism to build and deploy things because we believe the curve is so steep and that is how people will build and deploy software.Jake [00:11:42]: It almost fundamentally doesn't matter whether this is dot-com or not because we're all on the internet anyway. If agents are going to deploy a bunch of things and we hit an inference wall at some point, we'll fix those problems. The dominant species over the next 10 years is that we've moved from assembly to C to C++ to JavaScript to words. You're going to need to close that loop.Swyx [00:12:13]: When you say this is dot-com, did you mean buying the domain, or the general case?Jake [00:12:17]: I mean the dot-com era, when companies had a huge run-up because people understood the internet was important. Then they hit bottlenecks, fundamental laws of physics, math didn't work, and everybody came back down to earth. But it didn't matter because the internet became so impactful. If you operate on a long enough time horizon, you should build these things anyway because you can see where it's going.Jake [00:12:45]: That's where I think a lot of agent stuff is. You get to a point where you're running thousands of agents in parallel. What is the inference cost? What is the compute cost? How do you make that efficient? How do you coordinate all this? We have issues coordinating humans; we don't even have good tooling for that. Now we have to figure out how to get agents to coordinate, safely version changes, and know when to raise their hand for someone to intervene. Otherwise it becomes an interrupt factory.Railway's Infrastructure Thesis: Network, Compute, Storage, and MetalSwyx [00:13:19]: Let's go right into the technical side. What are the core infrastructure or architectural beliefs of Railway that allow you to do what you do?Jake [00:13:29]: The primitives matter a lot for us. We need network, compute, storage, and orchestration around it. You need control over a lot of those things. We've talked a lot about how we don't really use Kubernetes because we want higher-order control to place workloads in very specific places.Jake [00:13:48]: The reason is that you have to be very efficient with agents: memory reuse and all these other things, or you're going to massively blow up your cost structure. Being able to rack and stack your own servers and build your own metal unlocks performance and cost. Experiences where you're running 1,000 agents in parallel are not massively cost prohibitive.Jake [00:14:13]: Token use and compute use are blowing up. Over time, those things have to get a lot more efficient. You can get a lot of margin to make those experiences solid by building your own metal. That's all in service of offering a differentiated experience to as many people as humanly possible.Swyx [00:14:51]: You have a data center in Singapore.Jake [00:14:53]: Yeah. We have two in every other region now. In Singapore, we're adding a second one in Q3.Swyx [00:14:58]: What's it like? I've never built a data center. Do you go to Equinix and say, “I want some slots?”Jake [00:15:05]: Yeah. Equinix. You basically go and say, “I want power and I want a cage.” They say, “Great, here's what it's going to be.” You rent the cage for a period of time, fill it with racks and servers, and hook up internet to it. That's all the pieces.Swyx [00:15:36]: Then you handle everything else.Jake [00:15:37]: You handle everything else.Swyx [00:15:39]: What's the math versus clouds doing it for you?Jake [00:15:43]: If we rented in the cloud, our payback period when we go to metal is about three months.Swyx [00:15:50]: Which is crazy.Jake [00:15:51]: It's nuts. That's four years of depreciated hardware. You're going to see a lot of this compute crunch because hyperscalers are buying up a lot of stuff. We're working directly with OEMs, resellers, and people building these machines: Supermicro, Dell, and others.Jake [00:16:11]: Upstream, there's a bunch of supply pressure. When we raised our last round, between deploying capital for servers and now, the amount of money we've raised is less than the amount of money we have in the bank plus the value of the servers because the servers have appreciated as RAM has gone up. It's nuts how valuable hardware has become.Jake [00:16:50]: If you look at hyperscalers, they deployed around $80 billion of capital expenditures this year, and next year will be more. That's a massive infrastructure build-out. You look at that and think it's crazy that they're spending way more than the Manhattan Project. But if every person is going to run dozens or hundreds of agents in parallel, you have no conceptual idea how much compute is required to make that experience happen, even if you're deeply efficient and sharing resources. And that doesn't even count inference.Swyx [00:17:22]: How do you plan the build-out? The growth chart is so vertical. Are you usually at 100% utilization as soon as racks are live? How far ahead are you planning?Jake [00:17:33]: We still maintain cloud presence for bursting. We work with AWS, GCP, and a few other clouds. We can rent, and then the moment we get space or power, we compact those workloads off the cloud. We started on the clouds, then built a system to migrate to our own metal. There's nothing that says you can't continually do that again, and that's exactly what we do. We never want to be compute constrained.Jake [00:18:09]: At the start of the year, we actually became compute constrained because one upstream provider wasn't able to give us quota at the rate we needed, and the hardware was slower. I spent a weekend rebuilding our entire network overlay so we could straddle five clouds: Oracle, AWS, ourselves, GCP, and one other one. We can do more than that now.Jake [00:18:38]: We got into a spot where we were trying to pack instances tight because we couldn't get enough compute. That led to a few reliability issues, which are now past us. I made a tweet pointing out that it's becoming harder and harder to acquire compute at the rate these models need to acquire compute. We got bit by it.Swyx [00:19:15]: How do you think about pricing knowing you might not have your own metal available at all times? Are you pricing assuming you need extra margin if you end up going into the cloud?Jake [00:19:26]: Because we've built out our metal data centers, our margins on metal are around 70%. We can deeply subsidize the cloud business if we want to scale at a reasonable rate. We have a few levers: metal, which makes the margins; cloud burst; debt to buy servers; and venture capital. It's an interesting operational problem: how much cash do we have, how much should we raise, how quickly can we deploy it, and can we scale revenue as quickly as we scale compute?Jake [00:20:05]: If we continue making it trivially easy for people to build and deploy, then the faster we close that loop and the more operationally excellent we are with capital, the faster the business can scale. It's almost a straight linear deployment rate.Financing Infrastructure: Hardware Debt, VC, and Operational LeverageSwyx [00:20:20]: I think infra startups raising debt is a tool people don't utilize enough or know enough about. What can you tell us about that? Is it secured against your CPUs?Jake [00:20:32]: It's secured against our hardware.Swyx [00:20:37]: What rates do you get? Who are the lenders?Jake [00:20:39]: We pay prime plus a spread, and we can refinance any of the debt as rates go down. The terms are pretty good. The unfortunate thing is that Twitter has no nuance, so people say, “Venture debt bad.” But as with all things, there are specific tools and areas where you can be deliberate instead of using one tool as a hammer. Venture capital is not the hammer for everything. You have to explore and figure out what works.Swyx [00:21:12]: VC is usually the most expensive financing you can get.Jake [00:21:15]: Yeah. I also think people think about VC incorrectly from a capital-raising perspective. Most people think, “How do I raise as much money as possible from whoever is probably the best I can get at that time?” That's close to right, but what we've tried to do is figure out what unfair advantage we can buy with that equity.Jake [00:21:34]: It's the most expensive equity you're going to give away at that point in time, assuming the company keeps getting better. How do you use it to work with someone stellar who complements you? In the seed stage, I had never started a company. Ray Tonsing had good advice, and I could text him all the time. He was really fast. Awesome.Jake [00:22:01]: Then with John and Erica at Unusual, they said, “You roughly know what you're doing building a product. We'll mostly leave you alone and be available for advice.” Amazing. Then we got to Series A and the business was an operational tire fire because we didn't know how to scale a business. Work with Erica, and Jordan is over at Redpoint, so bonus.Jake [00:22:28]: Now we've raised from TQ and FPV as we're moving into enterprises. Every step of the way, we've asked: who can we partner with at this specific time to unlock the next section of the journey? I don't know enterprise sales. As an engineer, I can eyeball what features we might need, and we have wonderful people internally who can help. But you want boardroom dynamics where everyone is aligned and asking, “How do we win this?” instead of bickering about strategy.Data Centers in Space and the Physics of ComputeSwyx [00:23:31]: You had a tweet about data centers in space. Why no data centers in space?Jake [00:23:37]: It's not “no data centers in space.” My hot take is that I think it is solvable. I've just never seen anybody solve it.Swyx [00:23:49]: You said, “How are you going to dissipate that much heat in a vacuum?” You're making a physics claim.Jake [00:23:55]: I haven't seen anybody prove how you're going to dissipate that much heat in a vacuum. It doesn't mean it's not possible. It just means nobody has brought it up yet.Swyx [00:24:05]: Astrophage.Jake [00:24:06]: I don't know what that is.Swyx [00:24:07]: The Martian thing. Okay, you're very logical.Jake [00:24:09]: It could work. A lot of people are putting the cart before the horse. They say, “We're going to put data centers in space.” Okay, but how? “We have time to figure it out.” It's like in The Martian where they ask how they're going to intercept something and say, “We'll figure it out.”Swyx [00:24:36]: Making a bet on human invention is weird because you blind trust that it can be solved. But with physics, there are first-principles bounds you can put on it. Maybe not. Maybe you're asking to travel time or break a fundamental thermodynamic law.Jake [00:24:57]: I don't know how VCs do this either. How do you know what's not possible and a grift versus what's possible but sounds completely insane? “We're going to put data centers in space.” Coin flip as to which it is, and I guess you'll know in 10 years. That's one cycle.What Agents Need: Versioning, Observability, and 1,000x ScaleSwyx [00:25:23]: Moving back to agents. The branching, fast spin-up, and orchestration you do feels like pre-work that happened to be exactly what agents want. What do agents want differently than humans?Jake [00:25:37]: They want the ability to version things. It's not that different; it materializes slightly differently. Agents want a way to test changes incrementally. Engineers have feature flags. Is there a reason agents can't use feature flags? I don't think so.Jake [00:25:54]: They want version control. Can we use Git or not Git? That one is up in the air. I think something outside Git will emerge for how we version these things over time. They need observability. You need to query what happened, when it happened, which steps failed, traces, logs, metrics, and all the rest. They need network, compute, and storage. They need to write files, save files, iterate on files, and snapshot file systems.Jake [00:26:25]: A lot of what humans needed is in line with what agents need. Branching and forking are not different; we're just moving 1,000 times quicker. It can look like you need something massively different, but what you need is something massively better than what existed. You need orchestration massively better than Kubernetes. You need networking probably better than Envoy. It goes all the way down the stack.Jake [00:26:55]: If the workload profile doesn't change so much as it gets massively compressed because you need thousands of these things, what assumptions change? etcd is going to melt. You need to replace it with something. You can go all the way down the stack and say, “That part has to change, that part has to change, and that part has to change.”Jake [00:27:19]: The interesting thing about the super-exponential curve is that you have to build systems where you can rip out those parts at any time because a new bottleneck might emerge. You get good at parallel agents, and a different part of the system breaks. So it's similar to what humans needed, but at 1,000x scale.Jake [00:27:55]: How do you do code review in the age of agents?Swyx [00:28:00]: You throw more agents at it.Jake [00:28:01]: You don't. But then who reviews for CVEs and all these other things?Swyx [00:28:07]: More agents.Jake [00:28:08]: And that's how we hit the inference wall. You can continually throw agents at the problem, but I think there's a limit to the number of agents you can throw at a problem.CLI, Agent Handles, and Closing the LoopSwyx [00:28:24]: You already had a CLI before it was cool. How is the shape of what you're exposing changing, if at all?Jake [00:28:28]: CLIs have always been cool. The CLI changes because we think about how to give Claude, Codex, ChatGPT, or any model a handhold.Jake [00:28:50]: A CLI is a single command: deploy, get logs, and so on. Things that were prohibitively annoying to humans are not annoying to agents. They're nice. If I handed you a CLI with 40 arguments and 600 flags, you'd think, “I'm never going to use all of this.” But if you hand it to an agent, it says, “This is excellent. I have so many handles to work with.”Jake [00:29:24]: If you're going to expose things to agents that way, you want as many handles as possible where they can get information, query dynamic information, and close the loop quickly. Most problems right now are about how to close the loop as quickly as possible. Where does the agent get stuck, and how can you remove that?Jake [00:29:49]: Telemetry is important. If you can tell where the agent gets stuck from the CLI and say, “12% of people deviate from the happy path because of this, and now I add this argument and drive it down to 2%,” you massively increase the rate of loop closure.Jake [00:30:03]: That's how we think about not just the CLI, but every point in the dashboard. It's a user journey: I hear about Railway. I get something deployed. I get my first green build or aha moment. I see an endpoint, logs, whatever. Then I iterate. The iteration loop is indefinite. The user wants to deploy a new thing, a Postgres instance, change code, and keep iterating.Jake [00:30:36]: If you focus on the iteration loops and what's blocking them from closing quickly, one thing we say internally is: you never want to be waiting on compute anymore. You always want to be waiting on intelligence. If you're waiting on compute, there's a bottleneck that needs to be destroyed because eventually that bottleneck becomes so large that another workflow emerges to change it.Jake [00:31:04]: We've built a product where you push code, build it, and so on. But I fundamentally believe the push-pull loop is going away. We'll get to a point where you make a small change in production, that change is versioned across your infrastructure, you're working alongside copy-on-write versions of your database and infrastructure, and then you merge it in and it's instantaneously live. That's the holy grail of loops. The push-pull-rebuild thing is a point of friction that we're removing entirely.Canvas as Output: Dashboards, Context Anchors, and HyperstructuresSwyx [00:31:43]: It's incredibly fast. If anyone hasn't tried it, that fast feedback is great. My hot take is that Railway was famous for its canvas, which visualizes your infrastructure and lets you manipulate it visually. But that was for humans. For the next phase of growth, Railway CLI is more important than canvas.Jake [00:32:05]: The canvas is funny because it's a mechanism to show changes over time. You're right that previously we used it a lot as an input. Moving forward, its goal is more like an output. You would go to the canvas, make changes, see them, and watch your infrastructure evolve. Now agents have access to the CLI and can make those changes. So the canvas becomes an output: what information does the human need at this moment to make suitable decisions about control requests? Do I approve this or not?Jake [00:32:57]: It also has to be an anchor for your context, a port in the storm. Think of it like layers in a file system. You start with a project, then drill down into services, then into a function or code, because you want to represent the entire thing not just in your head, but in the canvas. Other people can share that representation, think on the same wavelength, and move quickly.Jake [00:33:33]: A lot of organizations get in trouble as they scale because all the context lives in someone's head. “How does this microservice work?” “I have no idea; go ask this person.” Then you have whole categories of products built around context discovery. A lot of that melts away if you have a solid hierarchy and can infinitely nest services, code, context, and everything else all the way down. That's what lets you build these structures over time.Jake [00:34:18]: It's also what lets us build what I've called hyperstructures: things that are way bigger. You look at the Golden Gate Bridge and ask, “How did we build that?” There's a meme that we lost the technology. To some extent, yes, because the coordination that built those things evolved and changed. We lost some of the art of building structure as we jammed everything into Slack.Swyx [00:34:52]: But you jam everything in Discord.Jake [00:34:53]: Same point. It doesn't matter. It's message passing and interrupts, message passing and interrupts.Swyx [00:35:00]: So you're arguing there should be something better and more structured than Slack?Jake [00:35:04]: Yeah. For sure. I think Slack is awful, and Discord is awful too.Central Station: Context Routing, Support, and Incident ClustersSwyx [00:35:09]: This is the equivalent of my mom test. What have you done that has your solution to this?Jake [00:35:15]: Internally, we've built a tool called Central Station that aggregates all the context from our users. Every piece of feedback, every customer support item, everything gets aggregated into clusters. If an incident is brewing, we can determine how many users are affected and break off a discussion based on that.Jake [00:35:40]: That is more helpful than long-running channels where you're trying to decide which channel to put something in. If you can dynamically aggregate information and dynamically route it to the right person based on context, it works better. We know internally that these four people are close to networking. If we see a networking thing, we can drill it down to those four people. If it's with this part, we can look at the commits. This is no longer a manual process internally.Jake [00:36:13]: If you go to station or help.railway.com, that's why we built it. We wanted to scale with a massive amount of leverage by aggregating feedback.Swyx [00:36:27]: This is built in-house?Jake [00:36:28]: Yep.Swyx [00:36:29]: I remember helping out on this one with Angelo in 2023. You scale a lot with a very small team.Jake [00:36:38]: Yeah. We're about 10 times bigger now.Swyx [00:36:40]: You have your full developer code here? Very cool.Jake [00:36:44]: If you go to railway.com/stats, we expose this as a pub-sub-able thing. It's all real-time metrics. There's a way to get it as JSON somewhere if you care.Jake [00:37:01]: We're big on trying to build everything in public and talk about what we're working on. We've had issues in the past, and we'll say, “Here's how we're fixing these things.” We've gotten compliments and flak for incident reports. We're always trying to make them better and talk with people.Incidents, Disclosure, and Progressive RolloutsSwyx [00:37:20]: You had a big one recently. I liked that it was scoped to 3,000. You presumably used Central Station. Talk through what happened and how you address it internally as a team.Jake [00:37:38]: Internally, this one really sucked. It had to do with an upstream provider that didn't do the behavior it said it documented, which is unfortunate given they wrote the RFC for how the behavior should work. We rolled those things out, and Central Station caught it initially when a couple users said caches weren't invalidating. We turned it off immediately.Jake [00:38:03]: When you roll out to a large user base of three million people, you get a lot of disparate behaviors. We tested in staging and had tests, but we hit an edge case. We've hardened those systems, and now we can make that better. But it was a tough one.Swyx [00:38:39]: I always wonder how private disclosure is supposed to work if people find an issue. Are they supposed to contact you first? When you run a platform, these things will happen. What channels should people pursue to quietly resolve it before it becomes a bigger incident?Jake [00:38:59]: There's responsible disclosure. We err on the side of over-disclosing and letting you know something is wrong versus having your provider gaslight you. We've erred on sharing those things more publicly, even if they impact a small subset of users. That's a decision we've made internally. We have four values. One is honor. The honorable thing is to notify people to the widest degree at which they may have been affected or there was an issue, and then confront it head-on: why did it happen, what can we do better?Swyx [00:39:45]: Not the whole user base. That's because of incremental rollouts and other things?Jake [00:39:50]: Yeah. Progressive rollouts.Swyx [00:39:54]: That should be the norm at all large platforms.Jake [00:39:58]: It should. A variety of companies do this. There's the quote that Meta runs 10,000 different versions of Meta. To our earlier point about agents, they need the same thing. They need shadow traffic and all these other things. We've built so much ceremony around production being sacred that we need to make it trivially easy to test different behaviors in a safe environment. Then you can make mistakes in a safe environment.Safe AI SRE: Customer Agents, Forked Environments, and Production ParityAlessio [00:40:30]: Do you see a world where these things get automatically caught, not necessarily by your agent, but by your customer's agent? The cache invalidation issue seems easy to check if you know to look for it.Jake [00:40:44]: It's hard because to determine it, we almost need to hook into your observability infrastructure. That's why we have the template loop on the platform: so you can roll things out progressively. You can roll out to Johnny Vibe Coder initially, or push a shard that someone consumes at their own leisure. Or you can roll it out over weeks: 0.1% of people, 1% of people, early adopters, then all the way up. That's the non-deterministic version control we talked about earlier.Jake [00:41:30]: I believe that's where most things should go, because most companies end up building staged rollout systems in-house. It's the same thing built again and again at every company. There's a massive opportunity to consolidate developer debt.Alessio [00:41:45]: You should have a free tier. Model providers give free tokens if you let them use the data. You could give free compute if someone is the number-one shard that goes out and lets you plug into their observability.Jake [00:41:55]: We do that. That's why we talked about the impact on 3,000 people. We start with lower-impact people. Larger companies on the platform are last to receive those rollouts so they have a version of the platform that's deeply stable.Alessio [00:42:16]: I have three services, so I'm sure I get the first rollout. You can nuke my thing at any time. There are all these SRE agent companies. Observability people also want agents that fix upstream problems. You have your own agent in the canvas now. How do you see that playing out?Jake [00:42:39]: It's the stacking entropy problem. If you don't have primitives to make iteration in production safe, it becomes difficult. If you're an observability provider saying, “Here's the fix to this error,” assume 80% are good and make sense. But in the last 20% long tail of complex issues, if you let somebody stamp it, you create an opportunity for an incident.Jake [00:43:08]: That's why forked environments are important. People have staging, but it always drifts from production. You need primitives, workflows, and experience built first-party on the platform so you can fork any service at any point in time.Jake [00:43:33]: I think of the canvas as a sheet of transparency paper. The agent is a little guy you push up into the canvas. It should say, “I need to copy that service and that service so I can test these two things.” It gets a read-only copy of production. Anything that's PII gets marked as a transform when we clone the database, create a copy-on-write version, or read from it. Then the agent makes changes and asks, “Does this actually work?” as close to production as possible.Jake [00:44:22]: That's how close you have to be, or you get massive drift. The system becomes unstable. You see this with massive systems built on Docker for local, Kubernetes for production, and a specific thing for something else. That complexity slows developers and becomes unstable at scale, making it hard to iterate. We want to compress that way down and say, “As close to prod as possible is where we want to be.”From AISRE Skeptic to Agent BelieverSwyx [00:45:00]: I was texting Erica for questions, and she says you were originally not a believer in AISRE. Have you come around on it?Jake [00:45:10]: I flipped, but I'm still not a believer in AISRE if you don't have the primitives to make it safe. If you unleash AISRE on production infrastructure without safe primitives for copying volumes and making sure things are fine, it's going to nuke your production database. It's not a matter of if, but when. I'm a big believer in making those loops safe.Jake [00:45:33]: I was a deep AI skeptic until 2023. In 2024, I thought, “Maybe I can roughly make this thing do it.” In 2025, I thought, “Now I can hold this.” Over winter break, everybody came back saying, “It's almost impossible to hold this.”Swyx [00:46:01]: Did you see this on the Claude docs? CloudBot? OpenCloud?Jake [00:46:06]: It's gotten to a point where it's harder to hold it wrong than to hold it right. There's a scene in Avengers where Vision picks up Thor's hammer and says it's terribly well-balanced. It self-balances and works well. I'm a deep believer at this point that this will be the dominant species: assembly, C, C++, JavaScript, words.Swyx [00:46:35]: It feels like a big jump.Jake [00:46:37]: It is. But it's not like you abandon CPU-based discrete logic and move straight to fuzzy logic. You need both. Your skills should call code or applications or some static structure. You can use skills to distill what the procedure should be or how the code should act.Jake [00:47:02]: I'm coming to a thesis: you need three points. You need a clear spec defining the system, the code, and the tests. When you say it out loud, if you've been in engineering long enough, you're like, “Of course. That's an RFC, tests, and code.” But they all matter. Having them together lets them reinforce each other: the spec and tests match, but the code doesn't, so reconcile it. Or the tests and code match but the spec doesn't, so reconcile that. That's the iteration loop.Jake [00:47:41]: That's why you're seeing people talk about software factories, docs, and reconciliation. Some of that is architectural astronomy if you don't implement it, but that loop is where most things will end up.Swyx [00:48:07]: For listeners, we've been talking about this on the pod for three years: the holy trinity of specs and tests. Itamar Friedman from Qodo is the reference if people want to look it up.Self-Modifying Infrastructure and the End of Push-Pull-RebuildSwyx [00:48:18]: One thing I want to mention on the OpenCloud idea is self-modification. I don't know how Railway would support it, but I have my OpenClaw, and I just tell it it has the Railway CLI and can do whatever. In theory, whatever capabilities or new infra it needs, it can call the Railway CLI, provision it, and add it to itself. The agent can modify its own infra.Jake [00:48:45]: It's nuts. I have a loop set up where you put the Railway CLI on top of something that runs on Railway. You're authenticated as whatever the current box is, and you can make any changes to it. Then you call Railway deploy, and it deploys itself.Jake [00:49:04]: It's like: “I need to spin up this instance of this environment. I already exist in this environment. Excellent, I have access to a Postgres instance now.” That's where we want to go with agentic, self-replicating infrastructure. That's your loop: iterate in production. You continue making changes. If it works, merge it upstream. If it doesn't, throw it away.Jake [00:49:37]: How do you make throwaway copies trivial to spin up and super cheap? The era of “I have an AWS instance with four vCPU and 16 gigs of RAM” is going to get destroyed. If you do that for agents, you need a thousand of those machines. It's prohibitively expensive compared with what we've spent a ton of time figuring out: the atomic unit of deploy, whether you call it isolates, sandboxes, or something else. Only pay for what you use, spin up instantaneously, and close the loop as quickly as possible.Jake [00:50:15]: If the system can self-replicate safely and say, “This is my environment, I'm making these changes,” it can come back with, “Does this look good? This is a new state of infrastructure given this prompt. I think I've solved it.” Then you go back and say, “Actually, it looks different.” It does the loop again. Then you say, “Cool. Apply.”Swyx [00:50:38]: That's retroactively obvious, which is the most useful kind. Any other comments on agent deployment on Railway?Jake [00:50:51]: It's getting better every day. I'm on X or Twitter. You can always yell at me about the parts not working as well as they should, because plenty of things should work way better.The New Serverless: Stateful, Long-Running, Pay-for-What-You-Use LinuxSwyx [00:51:04]: At this stage, when people want massively or embarrassingly parallel compute, they usually talk serverless. I feel like there's a new serverless compared to the previous five years of serverless. You're in that new bucket. Do you have comparisons or philosophical differences you want to call out?Jake [00:51:31]: It's somewhere in between. It's the ability to run stateful, long-running workflows or executions.Swyx [00:51:42]: Vercel has Fluid Compute, Cloudflare has some container thing, Google has App Runner and others.Jake [00:51:55]: That's where everything is roughly going, and it's why we've been working on this for six years. We believe users need access to a computer: a box that speaks Linux. They need to deploy what they want. Other systems change the surface area of what you can build. For us, users need a computer and need to deploy anything they truly want. That's why we've focused on the primitives: network, compute, storage. If we give you those and expose them so you can run things indefinitely, that's where we believe it's going.Jake [00:52:43]: Twitter has no nuance, so everyone says “servers” or “serverless.” It's always somewhere in the middle: I want to run it for a long time, but I don't want to provision the resource statically or pay for things I'm not using. That's been our thesis from day one: pay only for what you use, run it indefinitely, and it is full Linux.Swyx [00:53:12]: That's why I like the naming of Fluid. It's fluid. Flexible.Heroku, Focus, and Carrying the Torch Without Becoming the PastSwyx [00:53:18]: Another milestone is the Heroku official deprecation. You're one of the presumptive new Herokus. “New Heroku” has been a category for as long as I've been in developer tooling. It's finally happening. What was that like? Any behind-the-scenes of, “This is the moment”?Jake [00:53:42]: You have people where you're like, “You were running stuff on here? You, as this company?” It's crazy that names you would know are running on it and now coming to us saying, “We want to move a lot of this off.”Swyx [00:54:00]: Any behind-the-scenes on why Salesforce let Heroku stagnate?Jake [00:54:05]: I can only guess. It's hard when it's not your business. Salesforce's business is to build a great CRM. That's their focus. Then you acquire a compute business as an offshoot. A lot of early Meta people talk about focus. Boz has a write-up about how in the early days of Meta they had no money, so they were forced to focus. Then they turned on the money tree and had no reason not to split their focus.Jake [00:54:52]: But that dilutes your product. You get offshoots where you ask, “Is this the focus of the business?” If it's not core, it languishes. A lot of companies get in trouble when they split focus because they're fighting a multi-front war, not just externally but internally for alignment. Where are we going? What are we doing? What is our purpose?Jake [00:55:24]: If you're Salesforce-built and mission-driven, you want to work on Salesforce. Heroku is off to the side. It's not core to the business. Getting resources, budget, focus, and alignment internally becomes hard. It was a matter of time.Swyx [00:56:06]: Kudos for them to call it out instead of leaving it unknown.Jake [00:56:12]: Their release was a little odd. They called it out, but they didn't say they were shutting it down. Behind the scenes, I think they issued messages to people saying they should close accounts and that they were going to deprecate and remove things over time.Jake [00:56:30]: It's crazy because some of my first deployment experiences were on Heroku. You start with dragging things into an FTP server, then you try to get a deploy working, and then it's Heroku. It was the on-ramp for us. But the wheel turns. New things emerge. We're happy to carry the torch for a lot of that. But we don't want to be the new Heroku. We want to be the way people build and deploy software, and ultimately the way people monetize software over time.Swyx [00:57:19]: It's still a big crown to be the new Heroku. There are 50 companies that fought for that.Jake [00:57:23]: Everybody is holding some portion of it. We're happy to support people and companies. The platform works differently. The game loop is similar, but we've been dogmatic about where these things are going: primitives, agents, fan-out. Some things fit; some workflows need to change. We have an approximation of Heroku pipelines with the environment system. It's exciting. We've got a ton of people we can support, and it's growing a lot.Temporal, Workflow Engines, and State MachinesSwyx [00:58:12]: I have one more technical question about Temporal. I've sold my shares. You're a power user and one of our earliest customers. I met you through Temporal. You built on Temporal. You have complaints. This may be the most neutral and informed conversation anyone will hear about Temporal without someone working at the company.Jake [00:58:39]: That's fair. I've used Temporal for almost 10 years because of Cadence at Uber.Swyx [00:58:52]: Give people a sense of what Cadence was at Uber.Jake [00:58:57]: Cadence was the precursor to Temporal. It powers trip actions, rides, when you rent a Jump bike or scooter or car. You're running workflows for a period of time and saying, “This ride will run indefinitely until it finishes.” You attach information: you paused in this zone, so add this charge to the bill. When you end the trip, the workflow is done. That experience was powered by Cadence at the time.Swyx [00:59:34]: I used to say it's like programming the entire user journey top-down as one function.Jake [00:59:39]: It's a powerful idea and important. It's also important for the next phase of the agentic journey. You want an agent to do a specific task, be complete or incomplete on that task, and move on to the next thing. You need a way to manage workflows dynamically.Jake [00:59:59]: Temporal was always great in theory, and great when you got it working the way you wanted in production. But it required you to model the entire journey in your head. If you didn't, you could cause issues where replaying the state of the workflow causes non-determinism.Swyx [01:00:25]: Because it works on deterministic workflow history.Jake [01:00:28]: Exactly. I describe it as a jet engine. If you know how to operate it and run it, it's great. But you can't hand it to people trying to build complicated things if they don't have the whole state in their head.Jake [01:00:48]: We run our whole deployment pipeline on top of it. That's a reasonably complicated workflow: pre-commit hooks, signaling, queuing, and all the rest. We ran into the same thing at Uber. As you express a large workflow, it gets more complicated, with more states in the state machine that you have to map back to the workflow.Swyx [01:01:15]: It's a lot of ifs.Jake [01:01:16]: Exactly. At Uber, we built a system for doing the state machine and testing it. We've started to build some of those things here because it's grown heavily. It's not quite love-hate. When it works well, it works super well. But if someone who doesn't have full context puts something into the system that invalidates state or causes non-determinism, or spins off a ton of activities, you have to keep track of underlying SRE knobs like activity slots. Those should scale with memory, vCPU, and so on. It becomes a bear to scale.Swyx [01:02:10]: You need a capable sysadmin running things behind the scenes. If you moved off, what would you do?Jake [01:02:19]: We'd build our own workflow engine. We have a few internally that we've worked on.Swyx [01:02:27]: This is one of those classes of things you typically wouldn't vibe code, but I'm wondering if you can.Jake [01:02:33]: I still don't think you should vibe code it. You still want to run decent tests to make sure it works.Swyx [01:02:39]: Timo didn't invent that from scratch either. There are libraries you can run. On top of that, it's just a state machine that you have to map out. Ultimately, you define the instructions you want and run them through a state machine.Jake [01:03:00]: It's very doable. Workflow stuff is interesting. Restate is doing neat stuff here.Swyx [01:03:10]: You're tied into JavaScript. Are you a JavaScript maxi?Jake [01:03:13]: Internally, we have TypeScript, Rust, and Go. We don't add more languages. Actually, we have a little C because we write BPF code and hooks. But those are the languages.Swyx [01:03:28]: Is this for sidecars?Jake [01:03:32]: No. It's for the networking stack, volumes, and things like that. We use TypeScript a lot because it powers the dashboard, but we're moving a lot of workflow stuff off the dashboard stack and into the infrastructure stack.Railpack, Nixpacks, and Content-Addressable FilesystemsSwyx [01:04:00]: Cool. Any other technical infrastructure stuff? Railpacks?Jake [01:04:07]: We built an engine for determining dependencies based on source code. It's called Railpack. We built the first version, Nixpacks, on top of Nix, and then we moved.Swyx [01:04:17]: People have been trying to get me to adopt Nix and NixOS for four years. Is it ever going to be a thing?Jake [01:04:23]: I don't know. We're excited about it, but it has pain points. Think of it as a stack of versioned binaries at specific slices in time. If you want version X and version Y, you bloat the package space, which blows up image size and makes real-world workloads difficult.Swyx [01:04:53]: But you content-address it and cache it. In theory, there are optimizations.Jake [01:05:00]: In theory, yes. But with a large enough user base and disparate enough machines, you run into a problem Meta described in the XFAAS paper, their internal serverless system. It becomes difficult at scale unless you break out specific runtimes.Jake [01:05:24]: We didn't want to do that because we wanted to truly allow you to deploy anything. That was our initial thing with Nix. But we've moved toward interesting work around content-addressable file systems that can lazy-load anything from any point and page it into memory.Swyx [01:05:48]: Amazing.Jake [01:05:49]: The future is very bright. It's crazy, and it's going to be nuts.Coding Agent Spend, Roadmaps, and Token ROISwyx [01:05:54]: Founder journey stuff?Alessio [01:05:56]: Your cloud usage: you tweeted you're going to spend $300K this month?Jake [01:06:01]: I think we got to $200K.Alessio [01:06:02]: Coding agents?Jake [01:06:03]: Yeah.Swyx [01:06:04]: Across the company?Alessio [01:06:05]: You only have 35 people, so I'm sure they're not all spending $10K a month. What's the distribution?Jake [01:06:10]: I think I'm at about $25K. We have power users all the way down. We came back from winter break, and I basically said, “If you're writing code by hand, you're doing this wrong.” The tools are good enough now that you can move extremely quickly. There are issues and pain points, but you should be reviewing the code you are writing instead of writing it by hand.Jake [01:06:40]: Architectural patterns matter more now than ever, but you shouldn't spend your time generating code you would write. If you know how to write it, ask the agent to write it and reconcile it until it looks like you would have written it yourself.Jake [01:06:58]: People misconstrue my propensity to push people toward agents as connected to our growth and some reliability bumps. They're not necessarily related. The tools are good enough to move extremely quickly and build things way larger than you could before.Jake [01:07:19]: To the earlier point about cooling data centers in space: I don't know. But with software, you can ask, “How would I build block storage from scratch? How would I do these things?” I have ideas because I have history and have read papers. Let me work them out and build massive test benches with thousands of tests, because those are now free to author. If you're not using AI systems to speed-run your roadmap and reconcile your existing system onto the future, you're missing a large point of what's happening.Alessio [01:08:12]: What's the path to spending $3 million a month? Is it bound by ideas and things customers can absorb?Jake [01:08:19]: For most companies, it's bound by deployment at this point. That's why we've seen a massive boom in users and companies, from Fortune 50s down, asking how to get developers to move faster. You'll probably hit your CFO before any technical limits because they'll look at the eye-watering amount of money spent on tokens. Inference costs have to come down, but we're inference constrained now. There will be price discovery around what makes sense for an org to adopt.Jake [01:09:06]: I think you'll end up with the F1 driver concept. If someone is really adept at these things, it makes sense to put them in a $3 million car. If they're not, it probably doesn't make sense. You'll take a few people and say, “You can drive the F1 car. We need to go in this direction. Figure out if it works and prototype it.”Jake [01:09:33]: We've done some of that and vastly accelerated our roadmap. We thought we'd ship something in a few years; now we can probably ship it in a few months because we validated it and don't have to build it incrementally. We can skip steps and move toward our vision.Alessio [01:09:58]: A lot of people are realizing the roadmap doesn't always have a business impact, so they say tokens are too expensive. But if your roadmap were built to make more money by the time you built it, you'd have token pricing for it, the same way you do with sales. You'd spend a billion dollars on sales if you knew you would get $2 billion of revenue.Jake [01:10:19]: Exactly. A naive way to measure this is the percentage of tokens that end up in production. If you can measure impact because those tokens end up in production, that's awesome. But the burden of proof will rise. Internally, we have a growing number of pull requests that haven't merged. The question becomes: how do you get this into production? It's about how quickly you can build and deploy software, which is exciting because that's our whole thing.The SDLC Shift: Prompt Requests, Feature Flags, and Safe RolloutsSwyx [01:10:56]: The SDLC is changing. One thesis is that the pull request is dying. It's going to be the prompt request. Beyond that, code review is also kind of dying if you have all the other systems in place. What else is changing about the SDLC?Jake [01:11:19]: The AISRE and the tools to make it happen. AISRE is pie-in-the-sky aspirational. What does it take to get an AISRE? What tools do you need to build?Swyx [01:11:32]: You should expose your tooling to customers at some point. The Central Station command center.Jake [01:11:39]: We have it for template maintainers. Template maintainers can deploy and maintain templates, and they get feedback. We're going to expose those things incrementally.Swyx [01:11:51]: Clustering around incidents. Everyone has a version of that, but I don't think anyone has solved it.Jake [01:11:56]: I won't say we've solved it internally, but it's gotten so good that we can see incidents forming pretty quickly. At some point, those will be things either someone else builds or we build. We've always built things purpose-built for us. If it makes sense to make it useful for users, monetize it, or turn that loop into a profit center instead of a cost center, we want to do that.Jake [01:12:28]: Pull request is definitely dying.Swyx [01:12:29]: Do you do first-party feature flagging and incremental rollout stuff?Jake [01:12:34]: We have a feature-flagging engine we built internally and will eventually roll out.Swyx [01:12:38]: I don't see it as a user. How come you didn't give us what you have?Jake [01:12:43]: We have to beta test it. We care a lot about the quality of the things. There's plenty we've used internally that doesn't make it all the way through the journey because it fails. It works for one service but not multiple services. We'd have to build it for multiple services and know that if we released it, we'd rebuild it again and again. Some things are worth that, but many inform the roadmap.Jake [01:13:18]: We don't want to dilute the experience by saying, “This works, but only for this service,” unless it's a core initiative. Over the next few months, we'll roll out things that work for a single service, then multiple services, then multiple services across the environment. You have to be deliberate. Otherwise you create broken disparate experiences and support load because people ask how to use the feature.Jake [01:13:52]: It's the earlier expansion and compaction pattern. You expand the company to get features, then compact and smooth them out so the experience is stellar. You told me in the hallway, “It's gotten so much better.” Internally we're saying, “This part really sucks. We need to make it significantly better.”Swyx [01:14:11]: I can attest to that over the last three years watching you build Railway. For listeners, feature flagging is a huge part of Uber culture. So much so that they have too many feature flags and another thing to remove feature flags. Facebook has Gatekeeper. Agents are going to need this. It's fundamental to incremental rollouts. OpenAI acquired Statsig. GPT-5 is routing and flagging through different models.Jake [01:14:56]: It's super important. If the software development lifecycle is going to change because we're doing things 1,000 times faster and 1,000 times more concurrently, what becomes important at scale?Jake [01:15:16]: Before I started Railway, I built a feature-flagging product and tried to sell it. It was an easier version of LaunchDarkly. I ran into a problem: anyone small enough to adopt your technology doesn't care about feature flags, and anyone large enough to need feature flags needs so much scale that you have to build out all the infrastructure. I scrapped it.Jake [01:15:42]: But what is old is new again. Companies are trying to move quickly, but you can't YOLO a vibe-coded thing straight into production. You need to say, “Here's my blast radius, my impact, and I want to shadow it for these users.” Feature flags. You're going to need the tools larger companies built to maintain their structures. Everything gets compressed by 1,000x so everybody can build those structures quickly.Jake [01:16:07]: That's exactly where we are: compressing the software development lifecycle, then expanding it and adding more new things.Cattle, Pets, and Clonable InfrastructureSwyx [01:16:15]: Another term that comes to mind for newer developers is “cattle, not pets.” People treat production like a pet. It has a name. You baby it and keep it alive. With cattle, you can mass farm, roll out, portion parts out, and kill them.Jake [01:16:37]: I think that might change. You can move toward having pets as long as you have a cloning machine for your pets.Swyx [01:16:52]: Yeah.Jake [01:16:52]: If you can snapshot every single thing at every frame, it doesn't matter if something gets obliterated because you have a snapshot of it. The things we've built right now are designed to block changes from the hermetically sealed DevOps line. You have to write a Dockerfile because you nee

In this episode, Ray Cochrane breaks down a reversible conductive glue from Newcastle University that could replace solder and finally make electronics recycling work. Additional stories cover China widening its clean energy lead, DeepMind’s AlphaEvolve scoring wins from genomics to Google’s database, Anthropic’s $200 million partnership with the Gates Foundation, Intel teaming up with McLaren Racing, and end-to-end encrypted RCS rolling out in beta. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show with a deep dive into Newcastle University’s reversible conductive glue, a water-based adhesive that could finally make electronics recycling economically viable. He frames the e-waste problem first: 62 billion kilos a year, with less than a quarter ever recycled. Then he walks through the silver nanoparticle chemistry, the lead-free angle on traditional solder, and the geopolitical stakes of critical mineral recovery. From there the episode pivots through energy, AI, hardware, open source, data research, space, science, and consumer privacy. A Reversible Conductive Glue That Could Replace Solder A team at Newcastle University has developed a water-based glue that conducts electricity well enough to replace solder. Unlike solder, however, the glue releases cleanly with a quick rinse of acetone or an alkaline bath. The breakthrough relies on silver nanoparticles suspended in a water-based binder. Consequently, components can be recovered intact, opening a viable path to electronics recycling at scale. Co-investigator Volker Pickert framed the second prize directly: solder has the best conductivity, but the best formulations contain lead. China Widens Its Clean Energy Lead A new Atlas Public Policy report shows Chinese firms accounted for 55 percent of $1.1 trillion in global clean energy manufacturing investment between 2019 and 2025. Battery manufacturing alone pulled in nearly half of that money. Meanwhile, U.S. companies have actively retreated from those same industries. With the Strait of Hormuz currently closed, supply chain ownership in solar, wind, and batteries matters more than ever. A separate Ember analysis showed Chinese solar panel exports doubled in March alone. DeepMind’s AlphaEvolve Scores Real Wins DeepMind published an update on AlphaEvolve, its Gemini-powered AI coding agent. The system cut genomic variant detection errors by 30 percent. Additionally, it lifted AC Optimal Power Flow feasibility from 14 to over 88 percent on the electrical grid. AlphaEvolve also found a better cache replacement policy in two days that would have taken human engineers months. Furthermore, it reduced write amplification in Google’s Spanner database by 20 percent. The pattern shows applied AI sticking, not as a chatbot but as a quiet optimizer. Anthropic and Gates Foundation Commit $200 Million Anthropic announced a four-year, $200 million partnership with the Gates Foundation across three pillars. The biggest pillar targets global health and life sciences in low and middle-income countries. Notably, the research scope includes polio, HPV, and preeclampsia. A second pillar covers AI in education across the U.S., sub-Saharan Africa, and India, in partnership with the Global AI for Learning Alliance. Finally, an economic mobility pillar focuses on agricultural productivity and crop benchmarks. Google’s AI Educator Series Launches Free Google rolled out the first 20-plus sessions of its AI Educator Series this week. The free AI literacy training targets the roughly 6 million K-12 and higher education teachers across the U.S. Modules are designed as short, snackable trainings teachers can finish in a prep period or a lunch break. Additionally, stackable workshops let educators build credentials over time. Importantly, the program requires no institutional subscription. Amazon Bedrock Prompt Optimization Goes GA Amazon Bedrock dropped its Advanced Prompt Optimization tool, now generally available across most major regions. The feature rewrites prompts to perform better on specific models and automates prompt migration when switching between models. Furthermore, a built-in evaluation feedback loop lets users benchmark against up to five models side by side. The default judge model is Claude Sonnet 4.6. Consequently, teams can stop hand-tuning string templates and focus on product work. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Arm AGI CPU and Red Hat Go Production-Ready on Agentic AI Arm and Red Hat expanded their collaboration around Arm’s AGI CPU, which is Arm’s branding for its agentic AI chip family. The deal brings Red Hat Enterprise Linux and OpenShift to the chip as a production-ready stack. Hardware specifications include 136 Neoverse V3 cores, 96 PCIe Gen6 lanes, and 12 channels of DDR5-8800 memory in a 300-watt thermal envelope. Availability lands in Q4 through Supermicro, Lenovo, and ASRock Rack. Intel Becomes McLaren Racing’s Official Compute Partner Intel announced a multi-year deal as the official compute partner for McLaren Racing. The agreement covers the McLaren Mastercard Formula 1 team, Arrow McLaren IndyCar, and McLaren F1 Sim Racing. Trackside edge compute will power real-time race decisions, while Xeon and Core Ultra silicon drive Computational Fluid Dynamics and digital twin work. Consequently, design iterations that once took weeks now collapse to days. The deal puts Intel silicon in front of every CTO watching a Grand Prix. Rust Lands 13 Google Summer of Code Projects The Rust Project landed 13 accepted projects in Google Summer of Code 2026. Out of 96 proposals, a 50 percent jump from last year, the project selected 13. Notably, three returning contributors from prior years are back. Mentors flagged a noticeable share of AI-generated submissions as a growing challenge. Furthermore, the real bottleneck remains mentor capacity rather than funding. GitHub Innovation Graph Maps Digital Complexity Researchers used GitHub Innovation Graph data to predict GDP, inequality, and emissions through the Economic Complexity Index, or ECI. Countries are compared to kitchens; the more variety and sophistication in software output, the higher the score. Germany ranks first, followed by Australia and Canada. The U.S. lands at sixth. However, the dataset only captures public GitHub activity, leaving most proprietary software invisible. NASA and Eta Space Prepare Cryogenic Fuel Demo NASA is teaming with Eta Space on an in-orbit demonstration called LOXSAT, short for Liquid Oxygen Flight Demonstration. The nine-month mission tests cryogenic fluid management techniques required for in-space propellant depots. Launch is no earlier than July 17 aboard a Rocket Lab Electron from the Mahia Peninsula in New Zealand. Successful refueling in orbit could reshape what is possible for deep-space missions to the Moon and Mars. Stealth Magma Surge Under São Jorge Surprises Researchers Researchers in the UK and Spain published in Nature Communications on a 2022 magma surge under São Jorge Island in the Azores. The surge climbed from more than 20 kilometers underground to 1.6 kilometers below the surface. Surprisingly, most of the thousands of earthquakes happened after the magma stalled, not during the climb. Consequently, scientists are calling it a stealth surge and a failed eruption. A primed magma chamber now sits closer to the surface than before. End-to-End Encrypted RCS Begins Rolling Out Apple and Google led a cross-industry effort to roll out end-to-end encryption for RCS messaging. As of May 11, the feature is rolling out in beta on both platforms. Importantly, encryption is on by default and auto-applies to new and existing conversations. A lock icon in the chat indicates active end-to-end encryption. This quietly raises baseline privacy for billions of cross-platform messages. Cochrane signs off with the usual ecosystem mentions: GNC Insider at geeknewscentral.com/insider, the show newsletter, and modern podcast app recommendations at podcastapps.com. The post A Reversible Glue that could Replace Solder #1865 appeared first on Geek News Central.

Unser Partner Scalable Capital ist der einzige Broker, den deine Familie zum Traden braucht. Bei Scalable Capital gibt's nämlich auch Kinderdepots. Alle weiteren Infos gibt's hier: scalable.capital/oaws. Iran-Deal-Hoffnung treibt Airlines und Touristik. Nvidia steckt 500 Mio. $ in Glasfaser-Firma Corning. AMD und Super Micro springen 15%. Samsung knackt 1 Bio. $. Disney+ erstmals zweistellig profitabel. Uber wächst so schnell wie seit 2022 nicht. Novo erholt sich weiter. Über 50% operative Marge und Kurs verzehnfacht in zehn Jahren. Keyence (WKN: 874827) baut Sensoren für Fabrikautomatisierung und ist dabei profitabler als Apple. Jetzt kommt der erste Aktienrückkauf ever. Hyperliquid ist die Krypto-Success-Story der letzten zwei Jahre. 900 Mio. Umsatz mit 15 Leuten. Jetzt kommen Aktien, Rohstoffe und Pre-IPO-Märkte dazu. Julius Nagel erklärt was dahintersteckt. Diesen Podcast vom 07.05.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. Learn more about your ad choices. Visit megaphone.fm/adchoices

Super Micro Computer es la protagonista de nuestro Radar de hoy. La firma tecnológica, al igual que AMD, publicó sus resultados tras el cierre del mercado y sus acciones se dispararon cerca de un 20% en el mercado fuera de hora. Entre las cifras más destacadas sobresale el rendimiento de su negocio de centros de datos, junto con unos ingresos que crecieron un 123% interanual, superando los 10.000 millones de dólares. Aunque los ingresos quedaron ligeramente por debajo de lo previsto, su consejero delegado, Charles Liang, atribuyó este desfase a la “falta de preparación de los clientes”, lo que habría retrasado el reconocimiento de ingresos durante el trimestre. En contraste, el beneficio por acción alcanzó los 84 centavos, superando en 22 centavos las previsiones del mercado. Además, la empresa anticipa unas ganancias ajustadas por acción de entre 65 y 79 centavos, con ingresos estimados entre 11.000 y 12.500 millones de dólares, también por encima del consenso. La compañía también informó de un margen bruto del 10,1%, superando claramente el 6,75% esperado por los analistas. Liang subrayó la solidez de los resultados, en especial del área de centros de datos, que según sus previsiones podría representar el 25% de los beneficios en los próximos años. Sin embargo, no todo ha sido positivo en torno a la empresa en los últimos meses, ya que han surgido controversias legales que han afectado su cotización. En concreto, la Fiscalía del Distrito Sur de Nueva York implicó a varios socios de la empresa en un presunto desvío ilegal de servidores con tecnología de Nvidia hacia China. Entre los implicados estaría el cofundador Yih-Shyan "Wally" Liam, quien posteriormente dimitió. A pesar del impacto inicial, que provocó una caída del 33% en bolsa, la empresa asegura mantener la confianza de sus clientes y prevé alcanzar ingresos de hasta 40.000 millones en 2026, reforzando su apuesta por la inteligencia artificial con nuevas instalaciones en Silicon Valley.

Die Wall Street startet nach der gestrigen Rally schwächer in den Tag, belastet durch steigende Ölpreise und geopolitische Unsicherheiten , während die Berichtssaison eine klare Sektor-Rotation zeigt: Halbleiter bleiben das Zugpferd mit starken Zahlen und angehobenen Ausblicken bei Unternehmen wie Texas Instruments und Lam Research, getragen vom anhaltenden AI-Boom, allerdings mehren sich nach der außergewöhnlich starken Rally Überhitzungssignale und das Chance-Risiko-Verhältnis verschlechtert sich deutlich ; im Gegensatz dazu steht der Software-Sektor unter Druck, mit Gewinnmitnahmen bei ServiceNow und IBM, wo sich eine leicht schwächere Wachstumsdynamik, Margendruck und durch den Nahost-Konflikt verzögerte Deals bemerkbar machen ; zusätzlich sorgt im AI-Infrastruktur-Bereich die Schwäche von Supermicro für Aufmerksamkeit, nachdem Berichte über einen verlorenen Milliardenauftrag von Oracle sowie hohe Lagerbestände bei älteren GPUs kursieren, was auf eine Verschiebung der Nachfrage hindeutet und die Aktie belastet; auch Tesla steht trotz solider Zahlen unter Druck, da die massiv steigenden Investitionen von über 25 Milliarden Dollar die freien Cashflows belasten und Zweifel nähren, ob das Bewertungsniveau gerechtfertigt ist – insgesamt zeigt sich ein Markt, der zwar weiterhin vom AI-Boom getragen wird, aber zunehmend selektiver wird und erste Ermüdungserscheinungen in den heiß gelaufenen Segmenten signalisiert. Abonniere den Podcast, um keine Folge zu verpassen! ____ Folge uns, um auf dem Laufenden zu bleiben: • X: http://fal.cn/SQtwitter • LinkedIn: http://fal.cn/SQlinkedin • Instagram: http://fal.cn/SQInstagram

Die Wall Street startet nach der gestrigen Rally schwächer in den Tag, belastet durch steigende Ölpreise und geopolitische Unsicherheiten , während die Berichtssaison eine klare Sektor-Rotation zeigt: Halbleiter bleiben das Zugpferd mit starken Zahlen und angehobenen Ausblicken bei Unternehmen wie Texas Instruments und Lam Research, getragen vom anhaltenden AI-Boom, allerdings mehren sich nach der außergewöhnlich starken Rally Überhitzungssignale und das Chance-Risiko-Verhältnis verschlechtert sich deutlich ; im Gegensatz dazu steht der Software-Sektor unter Druck, mit Gewinnmitnahmen bei ServiceNow und IBM, wo sich eine leicht schwächere Wachstumsdynamik, Margendruck und durch den Nahost-Konflikt verzögerte Deals bemerkbar machen ; zusätzlich sorgt im AI-Infrastruktur-Bereich die Schwäche von Supermicro für Aufmerksamkeit, nachdem Berichte über einen verlorenen Milliardenauftrag von Oracle sowie hohe Lagerbestände bei älteren GPUs kursieren, was auf eine Verschiebung der Nachfrage hindeutet und die Aktie belastet; auch Tesla steht trotz solider Zahlen unter Druck, da die massiv steigenden Investitionen von über 25 Milliarden Dollar die freien Cashflows belasten und Zweifel nähren, ob das Bewertungsniveau gerechtfertigt ist – insgesamt zeigt sich ein Markt, der zwar weiterhin vom AI-Boom getragen wird, aber zunehmend selektiver wird und erste Ermüdungserscheinungen in den heiß gelaufenen Segmenten signalisiert. Ein Podcast - featured by Handelsblatt. ► Direkt an der Börse handeln mit tradegate.direct: https://bit.ly/wallstreet_april * ► Erhalte einen exklusiven 15% Rabatt auf Saily eSIM Datentarife! Lade die Saily-App herunter und benutze den Code wallstreet beim Bezahlen: https://saily.com/wallstreet * ► Entdecke den exklusiven NordVPN Deal! Jetzt risikofrei testen mit einer 30-Tage-Geld-zurück-Garantie: https://nordvpn.com/wallstreet * +++ Alle Rabattcodes und Infos zu unseren Werbepartnern findet ihr hier: https://linktr.ee/wallstreet_podcast +++ ► Mehr Einblicke: https://bit.ly/360wallstreetpc * Impressum: https://www.360wallstreet.de/impressum *Werbung

Drie verhalen die laten zien hoe staten en criminelen opereren in het digitale domein. Ronald begint met de meest onhandige GPU-smokkel ooit: drie man opgepakt door het Amerikaanse ministerie van Justitie voor het proberen te verschepen van $170 miljoen aan AI-chips naar China — inclusief een groeps-app genaamd "GPU Partnership" waarin de hoofdverdachte in hoofdletters schreeuwt dat niemand over China mag praten. Vervolgens de $2,5 miljard Supermicro-zaak die de week ervoor speelde. Jelle neemt je mee in Coruna, het iOS-exploitplatform dat voortkomt uit Operation Triangulation. Ooit een van de meest geavanceerde spionagecampagnes ooit, nu ingezet om via nep-crypto-exchanges je wallet leeg te trekken. Marco sluit af met BPFDoor: Chinese hackers die al vijf jaar ongemerkt in de backbone van telecombedrijven zitten en kunnen zien wie je belt en waar je bent. Nieuwtjes - Anthropic Cloud Mythos / Capybara — gelekte conceptdocumenten over nieuw AI-model met sterke cybersecurity-capabilities (vulnerability research, exploit development). Uitrol begint bij verdedigende partijen. Beurzen reageerden met een dip Bronnen GPU-smokkel / exportcontroles - US Department of Justice — "Chinese National and Two U.S. Citizens Charged with Conspiring to Smuggle Artificial Intelligence Technology to China" (25 maart 2026): https://www.justice.gov/opa/pr/chinese-national-and-two-us-citizens-charged-conspiring-smuggle-artificial-intelligence - US Department of Justice — Supermicro co-founder Wally Liaw charged in $2.5B Nvidia GPU smuggling scheme (week voor opname) (https://fortune.com/2026/03/19/supermicro-arrested-founder-smuggling-gpu-china/) - Bureau of Industry & Security (BIS) — exportcontroles op geavanceerde chips: https://www.bis.gov Coruna / Operation Triangulation / DarkSword - Kaspersky / Securelist — "Coruna framework: updated Operation Triangulation exploit" (26 maart 2026): https://securelist.com/coruna-framework-updated-operation-triangulation-exploit/119228/ - BleepingComputer — "Coruna iOS exploit framework linked to Triangulation attacks" (26 maart 2026): https://www.bleepingcomputer.com/news/security/coruna-ios-exploit-framework-linked-to-triangulation-attacks/ - Kaspersky — originele Operation Triangulation disclosure (2023): https://securelist.com/operation-triangulation/109842/ - Kaspersky — "Triangulation: undocumented hardware feature exploited" (december 2023): https://securelist.com/operation-triangulation-the-last-hardware-mystery/111669/ - Apple Security Update — patches voor Coruna en DarkSword: https://support.apple.com/en-us/126776 BPFDoor / Red Menshen / telecominfrastructuur - Rapid7 — Red Menshen BPFDoor research (maart 2026) - Achtergrond BPFDoor — Trend Micro / PwC eerdere analyses (2022-2025) - Salt Typhoon — voor context: Chinese hackers in Amerikaanse telecom (2024-2025) - CISA — "Countering China State Actors Compromise of Networks" joint advisory

Sara Awad from Tech Contrarians explains tech dynamics, geopolitical factors and increased investor scrutiny (0:35) Memory and storage: Micron, AMD, Nvidia, Google update (9:20) Energy through the lens of AI (20:00) Super Micro scandal, China chips (23:10)Show Notes:Tech Tug Of War: Fear Vs. GreedAI, chip stocks jump as Trump hints at ending Iran war within weeksRead our transcriptsFor full access to analyst ratings, stock and ETF quant scores, and dividend grades, subscribe to Seeking Alpha Premium at seekingalpha.com/subscriptions

SUMMARY:  Brian (@bgracely) and Brandon Whichard (@bwhichard, Software Defined Talk and Failover Media) discuss the biggest AI news stories from the month of March, 2026. SHOW: 1014SHOW TRANSCRIPT: The Reasoning Show #1014 TranscriptSHOW VIDEO: https://youtu.be/XwyAC-hxOQYSHOW SPONSORS:VENTION - Ready for expert developers who actually deliver?Visit ventionteams.comSHOW NOTES:Links to all the AI News covered in this months showFEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow

On this week's show, Patrick Gray, Adam Boileau and James WIlson discuss the week's cybersecurity news. They talk through: TeamPCP's supply chain attack on Github, and they threw in an anti-Iran wiper, because why not?! Anthropic hooks up its models to just… use your whole computer After Stryker's Very Bad Day, CISA says maybe add some more controls around your Intune? Another iOS exploit kit shows up in the cyber bargain-bin The FTC decides to ban… all new home routers?! U wot m8?! Supermicro founder was personally sanction-busting Nvidia GPUs into China?! This week's episode is sponsored by enterprise browser maker, Island. Chief Customer Officer Bradon Rogers joins Pat to explain how its customers are using Island to control the use of personal AI services in regulated industries. This episode is also available on Youtube. Show notes ‘CanisterWorm' Springs Wiper Attack Targeting Iran TeamPCP deploys CanisterWorm on NPM following Trivy compromise Andrej Karpathy on X: "Software horror: litellm PyPI supply chain" attack Checkmarx KICS GitHub Action Compromised: Malware Injected in All Git Tags Felix Rieseberg on X: "Today, we're releasing a feature that allows Claude to control your computer" A Top Google Search Result for Claude Plugins Was Planted by Hackers Lockheed Martin targeted in alleged breach by pro-Iran hacktivist CISA urges companies to secure Microsoft Intune systems after hackers mass-wipe Stryker devices FBI seems to seize website tied to Iranian cyberattack on Stryker Stryker confirms cyberattack is contained and restoration underway Hundreds of Millions of iPhones Can Be Hacked With a New Tool Found in the Wild Someone has publicly leaked an exploit kit that can hack millions of iPhones Russia-linked hackers use advanced iPhone exploit to target Ukrainians Apple rolls out first 'background security' update for iPhones, iPads, and Macs to fix Safari bug Post by @wartranslated.bsky.social — Bluesky Signal's Creator Is Helping Encrypt Meta AI Hacker says they compromised millions of confidential police tips held by US company Millions of 'anonymous' crime tips exposed in massive Crime Stoppers hack Feds Disrupt IoT Botnets Behind Huge DDoS Attacks FCC bans import of consumer-grade routers amid national security concerns White House pours cold water on cyber ‘letters of marque' speculation Google launches threat disruption unit, stops short of calling it ‘offensive' Supermicro's cofounder was just arrested for allegedly smuggling $2.5 billion in GPUs to China Cyberattack on vehicle breathalyzer company leaves drivers stranded across the US Man pleads guilty to $8 million AI-generated music scheme Two Israelis AI generated "intelligence" and sold it to Iran

JCD BACK IN THE HOUSE! Correction in some areas and sectors. Crude oil DROPS after “good” talks and a deal brewing with Iran. Airports are a mess. PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - JCD BACK IN THE HOUSE - Need a new CTP - Airports are a mess - Not Kosher - Futures moves Markets - From the Brink....All is good? - Correction in some areas and sectors - US Dollar Rises, Gold, Silver and Bitcoin Drop - Crude oil DROPS after "good" talks and a deal brewing with Iran - reversing all of the above JCD UPDATE - AH waiting by the microphone on a Tuesday in March - - no John... 9pm, 9:05, 9:15pm... - Health update etc...Can we get the story? - Thoughts on John S. Dvorak (Mimi on No Agenda) - Family backup! Market Update - Small-Caps taking the brunt of the selling - Russell 2000 small-caps are down 10% from their high - an official correction -- Interestingly the R2000 is still up this year by about 2% - Stocks up on Monday after President Trump says intense negotiations over weekend and postpones targeted attacks for 5 days (after giving a 48 hour ultimatum) Manipulation? Say it ain't so... - Dateline Monday morning... - Futures took a leg down pre-market - even after Friday (after close) President Trump said he was looking to wind down the Iran affair - At around 6:50 a.m. in New York, S&P 500 e-Mini futures trading on the CME recorded a sharp and isolated jump in volume. - A similar pattern was observed in oil markets. - Roughly 15 minutes later, at 7:05 a.m., Trump posted a market-moving announcement about Iran on Truth Social. - Futures on DJ up 1,000 and oil down 89% --- Were there really conversations and negotiations over the weekend? A Few Leftovers that need to be discussed Private Credit Again - All of a sudden they are admitting there is a problem..... - Blackstone Inc. approved redemptions of a record 7.9% from its flagship private credit fund, totaling about $3.8 billion. - Redemption requests have increased across multiple private credit funds in recent quarters. - Investor unease is being driven by concerns over the private credit asset class, particularly exposure to software companies vulnerable to AI disruption. - According to Hugh Chung, CIO of Endowus, Blackstone's experience suggests these concerns are asset-class wide, not limited to a small group of managers. - Apollo Global Management CEO Marc Rowan warned that a shakeout is coming for private credit firms, driven by rising defaults on loans to software companies. - Rowan emphasized that the shakeout is unlikely to be short-term, calling it foreseeable and predictable, and underscoring the importance of disciplined underwriting and strong risk management. - He argued that investors should prefer having credit risk reside within private markets firms, rather than on bank balance sheets backed by government-insured deposits, which can amplify systemic risk. - LATEST: Apollo is curbing redemptions from one of their biggest Private Credit funds. Michael Gayed: Private credit default rate just hit 9.2%. That's higher than 2008 bank loan peaks. $1.8 trillion in assets, $100B in secondary liquidity. 18:1 mismatch PRIVATE CREDIT More OpenAI Funding - Amazon invested $50 billion, Nvidia invested $30 billion and SoftBank invested $30 billion in the round, OpenAI said in a release Friday. - The investment boosts OpenAI to a $730 billion pre-money valuation, which marks a big jump from its $500 billion valuation in a secondary financing in October. - The will use some of the money to expland and buy more chips and cloud from NVDA and AMZN (? Circular?) MORE ON THE CIRCULAR SHAM - OpenAI said it is expanding its existing $38 billion agreement with Amazon Web Services by $100 billion over the next eight years. -  AWS will also serve as the exclusive third-party cloud distribution provider for OpenAI's enterprise platform Frontier, which it unveiled earlier this month. AI and Where we stand - Can we talk about Anthropic? Is the Government going to crush Claude? - What is our Go-to AI bots? - What stage are we at right now? LLMs > Infernce>Agentic - - What comes after Agentic Netflix OUT - Last week, Netflix exited the bidding for Warner Bros. Discovery after a competing bidder submitted a superior offer. - The decision followed pre-planned bidding scenarios, with co CEO Ted Sarandos saying the company knew exactly how to respond once the higher offer emerged. - Sarandos said the Paramount deal is likely to drive significant cost-cutting, including roughly $16 billion in reductions and thousands of job losses. - He emphasized that Netflix will continue investing in its business and explore new ways to collaborate with theater owners, rather than pursuing large acquisitions.| - Stock rose nicely on the news Tariff Refund Update - You are screwed.... -- Trump administration seems hell-bent on keeping our money Airlines - After a rather bullish commentary from Delta last week.... -  United Airlines is cutting more unprofitable flights over the next two quarters as it prepares for a prolonged period of high jet fuel prices due to the Iran war, even as strong travel demand has allowed U.S. carriers to raise fares. Chief Executive Scott Kirby said in a staff memo the airline is preparing for oil to rise as high as $175 a barrel and remain above $100 until the end of 2027. - At those levels, United's annual fuel bill would rise by about $11 billion, more than twice the profit it earned in its "best year ever," he said. - Ticket prices going up! Gas Prices - Have you seen diesel prices? - > $5 gallon on average across the U.S. -- Implications beyond --- Let's discuss the similarities to the 1973 oil embargo. (Barry switching license plates) - 1973–1974 ? Arab oil embargo (the classic “1970s oil embargo”) - 1979 ? Second oil shock caused by the Iranian Revolution (not an embargo, but another major supply shock) Even So - Fedex - FedEx Corp. raised its full-year profit forecast, with adjusted earnings expected to be $19.30 to $20.10 a share for the fiscal year. - The company's shares climbed after the announcement, with the stock advancing about 23% this year through Thursday's close. - FedEx does not expect the war in the Middle East to have a direct material effect on its business, but the broader consequences, including higher energy prices and volatile shipping patterns, are adversely affecting the global economy. - In fact, company raised its full year outlook..... --- Not a material effect??? Bad People - SuperMicro Co-Founder Charged! - Super Micro shares sank 28% last Friday after U.S. prosecutors charged three people linked with the company, including its co-founder, with helping smuggle billions of dollars worth of AI technology to China. (NVDA chips) - The U.S. Justice Department charged Super Micro co-founder Yih-Shyan Liaw, sales manager Ruei-Tsang Chang, and contractor Ting-Wei Sun with running a scheme to route U.S.-made servers through Taiwan to Southeast Asia. - The defendants allegedly used a Southeast Asian company as a middleman to place orders for high-end servers containing restricted Nvidia H200 and Blackwell chips. The equipment was then repackaged into unmarked boxes and diverted to China. - To evade U.S. audits and customs inspections, the individuals allegedly created thousands of "dummy" servers and used a hair dryer to remove and reattach serial number labels from genuine servers to the fake ones. --- Soooo, only 3 people did all of this? Amazon Phone - Amazon's new phone project codenamed 'Transformer' - Focus on AI integration, Alexa features, and mobile personalization - Here is what we know: -------It is a smartphone, not a wearable or accessory - It is AI-centric, with Alexa deeply integrated - It is meant to act as a personalized, always-on gateway into Amazon's ecosystem (shopping, Prime Video, Prime Music, services like Grubhub) - It is being built inside Amazon's Devices & Services group by a skunkworks team called ZeroOne, led by former Xbox architect J Allard OpenClaw - Nvidia CEO Jensen Huang says OpenClaw could be the next ChatGPT as AI shifts from answering questions to taking action. - Jensen said : Nvidia is building security around the technology with NemoClaw to enable safe and scalable adoption of AI agents. - Project OpenClaw: “It is now the largest, most popular, the most successful open-sourced project in the history of humanity,” - OpenClaw is an open-source autonomous AI agent platform that goes beyond traditional chatbots. -----Instead of answering questions, these agents can complete tasks, make decisions, and take actions with minimal input from users. - Use case: Prompt to study images of a kitchen, learn design tools, iterate ideas to learn how to design a kitchen ------- Jensen says: “Every carpenter can now be an architect. Every plumber will become an architect. We are going to elevate the capabilities of everyone” ---- What happens to the architects? Something.... - One of the hardest hit countries in all of this mess has been South Korea - ~70% of South Korea's crude oil imports come from the Middle East - Most of that oil transits the Strait of Hormuz - Margin calls kicked in as high margin debt with heavy retail participation - Won weakened sharply (17-year low) - Korea economy is dependent on global demand and stable energy prices - South Korea often leads sell-offs as it is the purest RISK ON market in Asia ---- SOOOOO, if this thing ends quickly, there is a potential of EWY to move up again....     Love the Show? Then how about a Donation? THE CLOSEST TO THE PIN for CATERPILLAR Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!     FED AND CRYPTO LIMERICKS   See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

The NIA boys discuss Nvidia GTC, AI Inference Explained, Jensen new Steve Jobs & Super Micro's $2.5B Smuggling SchemeTimestamps(00:00:00) - Intro(00:04:21) - Meme of the Week(00:05:37) - Jensen new Steve Jobs(00:09:29) - Nvidia GTC(00:13:46) - AI Agents and OpenClaw(00:22:11) - AI Inference Explained(00:29:31) - Super Micro's $2.5B Smuggling SchemeWhat Is Not Investment Advice?Every week, Jack Butcher, Bilal Zaidi & Trung Phan discuss what they're finding on the edges of the internet + the latest in business, technology and memes.Subscribe + listen on your fav podcast app:Apple: https://pod.link/notadvicepod.appleSpotify: https://pod.link/notadvicepod.spotifyOthers: https://pod.link/notadvicepodListen into our group chat on Telegram:https://t.me/notinvestmentadviceLet us know what you think on Twitter:http://twitter.com/bzaidihttp://twitter.com/trungtphanhttp://twitter.com/jackbutcherhttp://twitter.com/niapodcast Hosted on Acast. See acast.com/privacy for more information.

On today's show Andrew and Bill begin with last week's indictment of Wally Liaw, the co-founder of Super Micro, and its implications for US chip policy. Topics include: Incredible details from the indictment, US enforcement options, and bipartisan calls for government action on Nvidia exports to China and Southeast Asia. Then: Xi takes three Standing Committee members and three other Politburo members to inspect the progress at Xiong'an, signaling continued commitment to the “new area” 60 miles south of Beijing. At the end: Reports that the US visit to China is delayed indefinitely, the PRC's delicate diplomatic calculus as the Iran war continues, and tech news on Manus, Apple, OpenClaw, and an FCC ban on routers.

 In this episode, we unpack President Trump's new national framework for AI legislation (11:15), including reactions from experts and policymakers (39:44). We also discuss the indictment of a Super Micro co-founder for smuggling Nvidia chips into China (42:59) and Nvidia receiving permission to sell H200 chips to China (57:04).

David Faber and Jim Cramer kicked off a new week of trading with stocks surging and crude oil prices tumbling: President Trump said he has instructed the Defense Department to "postpone any and all military strikes against Iranian power plants and energy infrastructure" for five days, depending on how talks progress with Iran — which denies it is negotiating with the U.S. After posting the Iran news on Truth Social, the president spoke to CNBC and held a Q&A session with reporters. The anchor discussed sectors benefiting most from Trump's announcement. Also in focus: BlackRock CEO Larry Fink's letter to investors, "Mag 7" movers, Synopsys and activism, LaGuardia Airport tragedy.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Timestamps: 0:00 do u ever feel like a muppet 0:11 Google Search AI editing headlines 2:00 Super Micro co-founder smuggling charges 3:47 Android sideloading 24-hour wait period 6:09 QUICK BITS INTRO 6:25 Meta Horizon Worlds VR stays alive 7:14 multi-country botnet takedown 8:14 Musician indicted for AI music fraud 9:08 DLSS 5 only sees 2D frame, thanks Daniel Owen 10:09 Cyborg cockroaches NEWS SOURCES: https://lmg.gg/fwQbj Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to this week's episode of the PEBCAK Podcast!  We've got four amazing stories this week so sit back, relax, and keep being awesome!  Be sure to stick around for our Dad Joke of the Week. (DJOW) Follow us on Instagram @pebcakpodcast   Please share this podcast with someone you know!  It helps us grow the podcast and we really appreciate it!   Simple 6 signup link https://simple6.co/r/CFUR98   Meta ends end to end encryption for Instagram https://mashable.com/article/instagram-meta-end-to-end-encryption   SuperMicro executives smuggle GPUs into China https://x.com/ns123abc/status/2034788101491425570?s=46 https://x.com/mweinbach/status/2034807110857347201?s=46  https://www.justice.gov/opa/pr/three-charged-conspiring-unlawfully-divert-cutting-edge-us-artificial-intelligence   RSA Conference 2026 https://www.csoonline.com/article/4146664/5-key-priorities-for-your-rsac-2026-agenda.html   Spring plans   Cybersecurity interview tips   Dad Joke of the Week (DJOW)   Find the hosts on LinkedIn: Chris - https://www.linkedin.com/in/chlouie/ Brian - https://www.linkedin.com/in/briandeitch-sase/ Glenn - https://www.linkedin.com/in/glennmedina/

AI is becoming a scale and control business. On Episode 297 of The Six Five Pod, Patrick Moorhead and Daniel Newman examine the companies building the infrastructure, forming the alliances, and making the moves that will define who wins and who gets squeezed out. Control is shifting across compute, models, infrastructure, and enterprise distribution as NVIDIA, Microsoft, OpenAI, Meta, and others push to control the next phase of the AI market. The handpicked topics for this week are: NVIDIA's Full-Stack Push Gets Bigger: Following the GTC conference in San Jose, Pat and Dan break down how NVIDIA continues expanding beyond GPUs with Vera CPU, Dynamo, and a broader agentic AI stack designed to unify training, inference, orchestration, and enterprise-grade security. Microsoft, OpenAI, and Amazon Enter a New Phase of Tension: With Microsoft reportedly weighing legal action over OpenAI's growing AWS relationship, the discussion turns to exclusivity, multi-cloud strategy, and what happens when one of AI's most important alliances starts to crack. China, Compute, and the Geopolitics of AI Access: The hosts examine NVIDIA's reported H200 restart for China and what it says about export controls, policy pressure, and the global fight over advanced AI compute. Meta's $27B Infrastructure Agreement Signals the Real Race: Meta's latest infrastructure deal reinforces a central point of this episode, demand for AI capacity is still outrunning supply, and hyperscalers are moving aggressively to lock in long-term compute. OpenAI's Enterprise Push Raises Bigger Business Model Questions: As OpenAI leans harder into enterprise and eyes an eventual IPO, Pat and Dan unpack what this pivot says about monetization pressure, competitive positioning, and the need to prove a durable AI business model. The GPU Smuggling Story Shows How Valuable AI Hardware Has Become: A major smuggling case involving NVIDIA hardware spotlights the black market for AI chips and the growing intersection of compute, national security, and enforcement. The Flip: Did NVIDIA Just Change the Inference Market Again? This week's debate centers on whether NVIDIA's $20bn Groq Technology deal kills the standalone inference chip market, or whether it actually validates the market by proving just how strategically important specialized inference has become. The Fed, Micron, and Accenture Reflect a More Complicated Market: In Bulls and Bears, the hosts cover the Fed's latest decision, Micron's AI-driven momentum, and why Accenture's results still ran into skepticism despite strong execution. Meta's Workforce Cuts and AI Spend Reflect the New Corporate Tradeoff: The episode closes on the growing tension between rising AI investment and labor efficiency, as companies look for ways to fund massive infrastructure and token budgets while restructuring headcount. For a deeper dive into each topic, please click on the provided links. Subscribe to our YouTube Channel so you never miss an episode.   The Decode   NVIDIA GTC 2026: Vera Rubin Platform, Groq LPU Integration & $1T Demand Vision https://www.cnbc.com/2026/03/16/nvidia-gtc-2026-ceo-jensen-huang-keynote-blackwell-vera-rubin.html https://investor.nvidia.com/news/press-release-details/2026/NVIDIA-Vera-Rubin-Opens-Agentic-AI-Frontier/default.aspx https://x.com/PatrickMoorhead/status/2033662536227393952 https://x.com/danielnewmanUV/status/2033649511592284352   The Groq 3 LPU: NVIDIA's $20B Bet on Inference Economics https://www.cnbc.com/2026/03/13/a-closer-look-at-nvidias-20-billion-bet-on-tech-for-a-new-ai-chip.html https://www.tomshardware.com/tech-industry/semiconductors/nvidias-20-billion-groq-deal-produces-its-first-chip https://www.servethehome.com/decoding-the-future-of-inference-at-nvidia-groq-lpus-join-vera-rubin-platform-for-low-latency-inference/ https://developer.nvidia.com/blog/inside-nvidia-groq-3-lpx-the-low-latency-inference-accelerator-for-the-nvidia-vera-rubin-platform/ https://www.jonpeddie.com/news/nvidias-groq-tie-in/ Microsoft Threatens to Sue OpenAI Over $50B Amazon AWS Frontier Deal https://www.reuters.com/technology/microsoft-weighs-legal-action-over-50-billion-amazon-openai-cloud-deal-ft-2026-03-18/ NVIDIA Restarting H200 Chip Production for China https://www.axios.com/2026/03/17/nvidia-huang-china-h200 https://x.com/danielnewmanUV/status/1999974968143257945 Meta & Nebius Sign $27B AI Infrastructure Agreement — Largest AI Compute Deal https://nebius.com/newsroom/nebius-signs-new-ai-infrastructure-agreement-with-meta https://x.com/danielnewmanUV/status/2033531056784347240 https://x.com/PatrickMoorhead/status/2033543939526193491 OpenAI Enterprise Pivot + Q4 2026 IPO Target https://www.reuters.com/business/openai-lays-groundwork-juggernaut-ipo-up-1-trillion-valuation-2025-10-29/ https://www.forbes.com/sites/josipamajic/2026/03/19/openais-pivot-to-enterprise-is-likely-a-race-against-anthropic-and-the-ipo-clock/ Supermicro's Legal Troubles https://fortune.com/2026/03/19/supermicro-arrested-founder-smuggling-gpu-china/ https://www.bbc.com/news/articles/cy41ly2d9wko The Flip: Did NVIDIA Just Kill the Inference Chip Startup Market with the Groq Acquisition? FOR: NVIDIA Killed It — The Inference Startup Market Is Over https://www.cnbc.com/2026/03/13/a-closer-look-at-nvidias-20-billion-bet-on-tech-for-a-new-ai-chip.html https://www.jonpeddie.com/news/nvidias-groq-tie-in/ AGAINST: Startups Survive — Hyperscalers Won't Deepen NVIDIA Dependency https://www.reuters.com/business/retail-consumer/cerebras-systems-amazon-strike-deal-offer-cerebras-ai-chips-amazons-cloud-2026-03-13/ https://www.tomshardware.com/pc-components/gpus/nvidia-removes-rubin-cpx-accelerators-from-its-roadmap-groq-3-lpus-take-center-stage-as-cpx-is-removed Bulls & Bears Market Reactions to Economic News https://uk.finance.yahoo.com/news/stock-market-today-dow-sinks-750-points-sp-500-nasdaq-slide-after-fed-decision-as-powell-touts-inflation-worries-200050703.html https://www.kiplinger.com/investing/live/march-fed-meeting-2026-live-updates-and-commentary https://www.investopedia.com/stock-market-today-dow-jones-s-and-p-500-03182026-11928689 $MU Micron Technology — Revenue Almost Triples, Tops Estimates https://www.cnbc.com/2026/03/18/micron-mu-q2-earnings-report-2026.html https://x.com/PatrickMoorhead/status/2034390648519024820 https://x.com/danielnewmanUV/status/2034378642613235921 $ACN Accenture — Q2 FY2026 Earnings Beat, Stock Drops ~5% on Guidance https://www.investing.com/news/earnings/accenture-falls-despite-q2-beat-as-earnings-guidance-disappoints-4570221 https://www.zacks.com/stock/news/2886706/accenture-earnings-beat-estimates-in-q2-revenues-increase-yy https://www.investing.com/news/transcripts/earnings-call-transcript-accenture-q2-2026-beats-forecasts-but-stock-dips-93CH-4570789 https://x.com/PatrickMoorhead/status/2033348794348142595  

2,5% Zinsen p.a. auf ein unbegrenztes Guthaben mit bis zu fünfmal der gesetzlichen Einlagensicherung*. Das gibt's bei Scalable Capital. ⁠Mehr Infos hier. McCormick will Knorr von Unilever. Cargill nutzt KI für mehr Fleisch. Palantir rollt Maven aus. SAP wächst stark in Rüstung. Gold hat schlechteste Woche seit 2011. Super Micro hat Schmuggel-Skandal. United Airlines hat Angst vor Ölpreis. Trump droht. Init (WKN: 575980) steigt in den SDAX auf. Die Karlsruher digitalisieren den ÖPNV weltweit. London, Houston, Atlanta. Nordamerika ist der Wachstumstreiber. KGV bei 14 mit 24% Umsatzwachstum. Dominos Pizza Enterprises (WKN: A0EQ2E) hat seit dem Hoch 90% verloren. Ein 83-jähriger Milliardär soll den Turnaround schaffen. Weniger Rabatte, teurere Pizzen. Klappt das oder laufen Kunden weg? Diesen Podcast vom 23.03.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. *Veränderlicher Zins auf unbegrenztes Guthaben. Konditionen sowie Guthabenverteilung auf ⁠scalable.capital/tagesgeld⁠.

Why are investors turning away from gold? And why weren't Micron Technology's blowout earnings good enough? Plus, why is Super Micro's co-founder in hot water with U.S. prosecutors? Host Hannah Erin Lang discusses the biggest stock moves of the week and the news that drove them. Sign up for the WSJ's free Markets A.M. newsletter Learn more about your ad choices. Visit megaphone.fm/adchoices

Why are investors turning away from gold? And why weren't Micron Technology's blowout earnings good enough? Plus, why is Super Micro's co-founder in hot water with U.S. prosecutors? Host Hannah Erin Lang discusses the biggest stock moves of the week and the news that drove them.Sign up for the WSJ's free Markets A.M. newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Charles Payne is joined by Scott Martin, Kingsview Partners CIO, to discuss the DOJ charging Supermicro with allegedly selling critical chips to China, the decision to dollar-cost average into the stock despite the scandal, and a strategy of using market volatility to add to fundamentally strong companies like Life Time. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Energy prices falling, stocks under pressure, and rate cut expectations wobbling to end the week: Carl Quintanilla, Sara Eisen, and Michael Santoli discussed the latest for stocks before breaking down what comes next with Truist's Chief Investment Officer - along with more on the Fed's next moves here according to one former Fed president. Plus: Council on Foreign Relations President Michael Froman joined the team with 2 flashpoints he says could force an escalation in the Iran war... While the former head of CISA gave his read on the implications for cybersecurity.  Also this hour: details on the dramatic chip smuggling scandal slamming shares of Super Micro.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Carl Quintanilla and Jim Cramer led off the show with the major indices on track for a four-week losing streak. Jim spoke about how investors should navigate markets he says are oversold. FedEx shares jump on a better-than-expected holiday quarter and upbeat guidance. Super Micro shares plummet after U.S. prosecutor charged three people associated with the company — including its co-founder -- with smuggling Nvidia AI chips to China. Also in focus: Oil prices and the U.S.' battle to open the Strait of Hormuz, what Fed Governor Waller told CNBC about inflation and the strait, Goldman Sachs CEO David Solomon's letter about private credit, Amazon said to be planning a new smartphone launch, OpenAI reportedly plans a "superapp" launch.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Leslie Picker and the Investment Committee debate the S&P's longest losing streak since March and how to navigate the volatility. Plus, shares of Super Micro plummeting after U.S. prosecutors charge 3 companye employees with smuggling NVIDIA chips to China, the desk debate which competitor will benefit. And later, big trouble for China stocks, the Commitee discuss their international strategy.  Investment Committee Disclosures Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Super Micro smuggled NVidia chips to China. Thune warns Senate's April recess could be canceled if DHS shutdown continues. Trump administration backs $200 million push for a cancer vaccine. Squad-backed Democrats lose Illinois primaries in progressive setback Culvers to open in odd location downtown. Today’s Popcorn Moment: Trump's presser with Japanese Prime Minister, and his reference to Pearl Harbor. Today on the Marketplace: Half Gallon Cup Holder car adapter. Australian heckled by Islamists in his own country New Indiana law updates Ivy Tech governance, doubles down on workforce mission8:16: Trump to take Kharg Island? Russia coming to the aid of Cuba. What's that TV Theme Song? Film Friday: Superman. Autism racketSee omnystudio.com/listener for privacy information.

Super Micro smuggled NVidia chips to China. Thune warns Senate's April recess could be canceled if DHS shutdown continues. Trump administration backs $200 million push for a cancer vaccine. Squad-backed Democrats lose Illinois primaries in progressive setbackSee omnystudio.com/listener for privacy information.

(Presented by Thinkst Canary: Most Companies find out way too late that they've been breached. Thinkst Canary changes this. Deploy Canaries and Canarytokens in minutes and then forget about them. Attackers tip their hand by touching 'em giving you the one alert, when it matters. With zero admin overhead and almost no false-positives, Canaries are deployed (and loved) on all 7 continents.) Three Buddy Problem - Episode 90: We remember GReAT teammate Sergey Mineev, the legendary malware hunter behind discoveries like Equation Group and Project Sauron (Remsec), including stories about his methods and why he was the best to ever do it. Plus, another in-the-wild iOS exploit kit discovery and a long overdue conversation about Apple's responsibility to hundreds of millions of users on older iOS versions; the ProPublica Microsoft/FedRAMP bombshell, Interlock ransomware sitting on a Cisco zero-day, the White House AI policy framework, and Supermicro co-founder $2.5 billion AI chip smuggling bust. Cast: Juan Andres Guerrero-Saade, Ryan Naraine and Costin Raiu.

Hour 1 Segment 1 Tony starts the first hour of the show talking about TSA lines going on forever at airports due to the DHS shutdown. Hour 1 Segment 2 Tony talks about the Trump administration backing a $200M cancer vaccine initiative. Hour 1 Segment 3 Tony talks about the passing of Chuck Norris at the age of 86 and talks about the best Chuck Norris jokes. Hour 1 Segment 4 Tony wraps up the first hour of the show talking about Joe Kent making his rounds on the woke right media outlets. Hour 2 Segment 1 Tony starts the second hour of the show talking about Super Micro’s co-founder being charged for smuggling Nvidia chips into China. Tony also talks about Australian Prime Minister Anthony Albanese getting chased out of a mosque by an angry crowd calling him a “genocide supporter”. Hour 2 Segment 2 Tony talks more about unpaid TSA agents due to the DHS shutdown. Hour 2 Segment 3 Tony is joined with E.J. Antoni of The Heritage Foundation to talk about how bad oil prices could get for the U.S. and for the enemies. Hour 2 Segment 4 Tony wraps up the second hour of the show talking about Senator Mazie Hironi speaking about why she disapproves of the Save Act. Hour 3 Segment 1 Tony starts the final hour of the show joined with Griff Jenkins of FOX News to talk about the latest on the U.S./Iranian conflict, TSA affected by the DHS shutdown, and Markwayne Mullin. Hour 3 Segment 2 Tony talks about the cancellation of The Bachelorette due to a leaked video of Taylor Frankie Paul attacking her partner in 2023. Hour 3 Segment 3 Tony talks more about the passing of Chuck Norris at the age of 86. Hour 3 Segment 4 Tony wraps up another edition of the show talking more about the lines for TSA being outrageously long due to the DHS shutdown. See omnystudio.com/listener for privacy information.

Hour 2 Segment 1 Tony starts the second hour of the show talking about Super Micro’s co-founder being charged for smuggling Nvidia chips into China. Tony also talks about Australian Prime Minister Anthony Albanese getting chased out of a mosque by an angry crowd calling him a “genocide supporter”. Hour 2 Segment 2 Tony talks more about unpaid TSA agents due to the DHS shutdown. Hour 2 Segment 3 Tony is joined with E.J. Antoni of The Heritage Foundation to talk about how bad oil prices could get for the U.S. and for the enemies. Hour 2 Segment 4 Tony wraps up the second hour of the show talking about Senator Mazie Hironi speaking about why she disapproves of the Save Act. See omnystudio.com/listener for privacy information.

From Wall Street to Main Street, the latest on the markets and what it means for your money. Updated regularly on weekdays, featuring CNBC expert analysis and sound from top business newsmakers. Anchored and reported by CNBC's Jessica Ettinger. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Market update for Friday March 20, 2026Check out the Public app for incredible investing tools and to support the show (LINK)Follow us on Instagram (@TheRundownDaily) for bonus content and instant reactions.In today's episode:FedEx earnings signal economy still holding upAmazon working on AI-powered smartphone comebackSuper Micro stock plunges after smuggling chargesFirefly Aerospace surges on strong growthTesla Semi wins over truckers

En Capital Intereconomía, en el Radar Empresarial, destacamos la detención del cofundador de Super Micro por la supuesta venta ilegal de chips a China, un caso que vuelve a poner el foco en la guerra tecnológica y el control de semiconductores a nivel global. En el Foro de la Inversión, Juan Ramón Caridad, de Pictet AM, analiza el fondo Pictet Clean Energy Transition y las oportunidades en la transición energética en un entorno marcado por la tensión geopolítica. Subraya el papel estratégico de las energías limpias, no solo por sostenibilidad, sino también por seguridad energética y diversificación en las carteras. En Cripto Capital, abordamos el paso clave de Kraken, que obtiene una cuenta en la Reserva Federal, acercando el ecosistema cripto al sistema financiero tradicional. Con Jesús Pérez y Víctor Sáez, analizamos cómo este movimiento puede impulsar la legitimación institucional de los criptoactivos y su integración en el sistema financiero global.

En el Radar Empresarial de hoy revisamos la información más reciente que ha golpeado con fuerza a Super Micro Computer, provocando una caída cercana al 20% en sus acciones durante las operaciones fuera de horario. El cofundador de la compañía, Yih-Shyan Liaw, ha sido detenido junto a otras dos personas por presuntamente haber comercializado chips y equipos tecnológicos con destino a China, eludiendo las restricciones de exportación impuestas por Estados Unidos. Según las autoridades, Liaw, en colaboración con Ruei-Tsang Chang y Ting-Wei Sun, habría participado en el envío ilegal de componentes tecnológicos valorados en unos 2.500 millones de dólares, incluyendo unidades fabricadas por Nvidia. Para llevar a cabo estas operaciones, supuestamente utilizaron una empresa fantasma ubicada en el sudeste asiático con el objetivo de esquivar la normativa vigente. No obstante, los fiscales no han presentado cargos formales contra la empresa en sí dentro de la denuncia. Tras conocerse los hechos el jueves, la compañía reaccionó de inmediato suspendiendo de forma temporal a Liaw y Chang, además de rescindir el contrato de Sun. A pesar de ello, Liaw mantiene una participación accionarial valorada en unos 400 millones de dólares. La investigación revela una compleja red logística en la que los servidores eran trasladados desde Estados Unidos a Taiwán y posteriormente a distintos países del sudeste asiático antes de llegar a China, muchas veces ocultos en paquetes sin identificar. Las autoridades sostienen que los implicados empleaban métodos sofisticados para ocultar su actividad, como retirar etiquetas y números de serie con herramientas domésticas y colocarlos en equipos falsos. También se han levantado dudas sobre las auditorías realizadas en ese periodo, ya que los controles no detectaron las irregularidades. Este nuevo episodio se suma a controversias previas, incluidas sanciones por irregularidades contables y acusaciones de manipulación financiera y violaciones regulatorias.

Ignacio Vacchiano, country manager en Iberia de Leverage Shares, analiza el momento de las Bolsas y la última actualidad económica, que está marcada por las caídas en los índices en Estados Unidos y la decisión de tipos de los Bancos Centrales. “El S&P 500 ha bajado por rotación y por sectores que lo habían hecho mal”, afirma el invitado. Además añade que “ ya los índices venían bajando por esa rotación” y que “la venta de tecnología ya arrastraba mucho los índices antes del 28 de febrero, precisamente justo desde ese inicio del conflicto con Irán”. Sobre la decisión de la FED y su perspectiva de inflación ha dicho que “que no es creíble esa versión de los miembros de la Fed de que va a subir tampoco la inflación a fin de año”. En las últimas horas hay una tecnológica que se desploma: Super Micro Computer. Su cofundador, Yih-Shyan Liaw, ha sido acusado de enviar equipos de alto rendimiento de IA a China. Estados Unidos acusa a Liaw y a otros dos individuos de vender esta tecnología a través de una empresa del sudeste asiático, a sabiendas de que iban a parar a manos chinas. “Lo de Super Micro es una más de la compañía en esa falta de gobernanza en esos miembros de la empresa”, asegura el country manager en Iberia de Leverage Shares. También ha sido noticia en las últimas horas FedEX, ya que la empresa ha presentado cuentas del tercer trimestre. Sube más de un 10% después de anunciar que sus ingresos aumentan un 8% en este periodo, hasta los 24.000 millones, por encima de las estimaciones del mercado. Ignacio Vacchiano explica que “hay que estar atento a la empresa, porque en junio va a hacer el spin-off la separación de su parte de la compañía de transporte terrestre FedEx Pride”.

Why are Gartner investors so spooked by AI? And how is the AI infrastructure buildout supercharging Super Micro shares? Plus, what's behind the selloff of Coinbase shares? Host Jack Pitcher discusses the biggest stock moves of the week and the news that drove them. Sign up for the WSJ's free Markets A.M. newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Why are Gartner investors so spooked by AI? And how is the AI infrastructure buildout supercharging Super Micro shares? Plus, what's behind the selloff of Coinbase shares? Host Jack Pitcher discusses the biggest stock moves of the week and the news that drove them. Sign up for the WSJ's free Markets A.M. newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Markets digest a flood of major earnings while tech volatility takes center stage. Jim Cramer interviewed NVIDIA CEO Jensen Huang and talks the AI trade scrutiny. Huang weighs in on OpenAI's massive fundraising round. Ke reports from AMD, Amgen, Chipotle, Mondelez and Super Micro. Christopher Rolland, Senior Analyst at Susquehanna, analyzes what the AMD results mean for the broader semiconductor trade.Jackson Ader, Senior Research Analyst at KeyBanc, joins to discuss the ongoing software selloff, while Venu Krishna, Head of U.S. Equity Strategy at Barclays, offers insight on market positioning and earnings momentum. A look ahead to Alphabet's earnings with Gil Luria, Managing Director and Senior Software Analyst at D.A. Davidson. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We look back to look forward and predict whether three of 2025's biggest disappointments can turn it around in 2026. Can Super Micro Computer (NASDAQ: SMCI), Lululemon (NASDAQ: LULU), and Nike (NYSE: NKE) get back to beating the market? Tom King, Travis Hoium, and Tim Beyers discuss: - How losing faith with auditors cost Supermicro. - Whether fashion trends favor Lululemon. - The 2026 challenges facing Nike CEO Elliott Hill. Companies discussed: SMCI, LULU, NKE Host: Tim Beyers Guests: Tom King, Travis Hoium Producer: Anand Chokkavelu Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on Market Mondays we're getting tactical and long-term: your futures trading tip of the week, the biggest mistakes younger investors make chasing fast wins, and the most important investing lessons this year reinforced. We also get personal about the mindset shifts that matter—what we used to disagree with early on, then changed our mind about later, and the questions people should be asking if they actually want to build wealth over decades (not just catch a lucky trade).Then we dive into what's moving markets right now: Oracle as a business and investment, whether the AI narrative tied to SoftBank/OpenAI has pushed expectations too far, and what really caused Friday's sell-off—plus whether it quietly changed market structure more than most people realize. We break down the Coinbase vs. MicroStrategy vs. IBIT debate, talk about whether we're headed toward a real correction or just another emotional shakeout, and if the market is broadening beyond tech or setting up a head fake before leadership narrows again.We also hit the high-volatility conversations: Super Micro's relevance in AI infrastructure, how elite traders handle ES and NQ moving in sync, and whether leveraged ETFs like NVDL/AMDL are advanced tools—or long-term portfolio destroyers in disguise. Plus: quantum computing (obvious leaders vs. sleeper names), and a real discussion on how to balance fitness, family, investing, travel, and content creation without burning out. And we're joined by Derrick Hayes to talk about his business journey and what it really takes to scale.#MarketMondays #Investing #Stocks #FuturesTrading #DayTrading #LongTermInvesting #FinancialLiteracy #WealthBuilding #AI #Oracle #Crypto #Bitcoin #Coinbase #MicroStrategy #IBIT #ETFs #LeveragedETFs #NVDL #AMDL #TechStocks #MarketNews #TradingPsychology #RiskManagement #QuantumComputing #Entrepreneurship #DerrickHayes #EarnYourLeisureSupport this podcast at — https://redcircle.com/marketmondays/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy