Podcasts about Base

P.M. Edition for Mar. 19. Earlier this week, Joe Kent resigned as the White House's chief counterterrorism officer because he opposes the Iran war. WSJ White House correspondent Natalie Andrews discusses how that's exposing a fault line within President Trump's base. Plus, new proposals introduced today by the Federal Reserve would let America's biggest banks hold billions of dollars less in capital on their books, a win for the banks. And we hear from Journal tech reporter Rolfe Winkler about how Apple, which is behind in AI, still earned hundreds of millions of dollars in revenue last year from it. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

13. Guest Peter Berkowitz discusses the book "Mobilize," which advocates for rebooting the American industrial base. He critiques central planning and argues the U.S. must leverage private-sector entrepreneurial innovation to counter the ChineseCommunist Party.,, (14)1943 PA SECTION

Crypto insiders debate the Ethereum Foundation's new “CROPS” mandate: is the EF losing touch with builders, why does Solana keep pulling startups away, and what will it actually take for Ethereum to stay ahead? Expect a candid conversation on governance, comms, and crypto culture wars. Welcome to The Chopping Block — where crypto insiders Haseeb Qureshi, Tom Schmidt, Tarun Chitra, and Robert Leshner chop it up about the latest in crypto. This week we've got plenty of firepower with special guests Taylor Monahan (formerly of MetaMask, now a security sensei) and Bankless impresario David Hoffman. The crew digs into the Ethereum Foundation's freshly dropped “CROPS” manifesto — a 38-page PDF full of cypherpunk values, new acronyms, and debate fuel. What does it really say about where Ethereum is headed? Is EF finally embracing “sanctuary tech,” or just giving startups another reason to choose Solana? Who deserves credit for Ethereum's growth: the Foundation, the community, or the market? Expect sharp takes on EF's endless comms problems, why L2s aren't a cure-all, and whether crypto culture matters as much as the tech. It's a spicy, insider-heavy episode — so grab your popcorn and dive in. Listen to the episode on Apple Podcasts, Spotify, Pods, Fountain, Podcast Addict, Pocket Casts, Amazon Music, or on your favorite podcast platform. Show highlights

Thursday, March 19. The seven stories you need to know today.Read today's briefing.If you're not a subscriber, click here to start.

I sat down with Guy and Kate from Fhenix to talk about something that's been missing from crypto since day one: real privacy. They're building a privacy co-processor using Fully Homomorphic Encryption (FHE) that lets you compute over encrypted data without ever exposing it. We covered why privacy is finally getting product-market fit, how institutions need confidentiality for payments and DeFi, and why AI agents will need private transactions. Guy shared his journey from Intel's Trusted Execution Environments to building Fhenix, and Kate explained why encryption should be the default, not an afterthought. We also talked about their shift from L2 to co-processor, their integration with Ethereum, Arbitrum, and Base, and what's next for confidential smart contracts. If you've ever wondered why everything in crypto is public by default and how that's about to change, this episode is for you. CONNECTFhenix Website: https://fhenix.ioFhenix Twitter/X: https://twitter.com/fhenixioWeb3 with Sam Kamani - Be a Guest: https://www.web3pod.xyz/KEY POINTS Guy's background at Intel building Trusted Execution Environments and his transition to founding FhenixKate's journey from cybersecurity engineering to crypto and why she sees it as the new Wild WestWhy Fhenix pivoted from building an L2 to a privacy co-processorWhat Fully Homomorphic Encryption (FHE) is and how it enables computation over encrypted dataPrivacy use cases in payments, DeFi, dark pools, and sealed-bid auctionsWhy institutional adoption requires confidentiality, not just anonymityHow AI is improving FHE performance and lowering barriers to entry for builders• [00:00] The importance of private agent-to-agent payments in the AI era• [00:00] Why developers should learn fundamentals even in the age of AI coding tools• [00:00] Fhenix's roadmap: faster cryptography, more chain integrations, and enterprise partnerships• [00:00] Their incubator program and call for builders to experiment with privacy-first smart contractsDisclaimer:Nothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/

What makes a great base of operations?In this episode of Nerd of Godcast, we explore some of the most iconic fictional headquarters in pop culture. From Castle Grayskull, the Batcave, and the Death Star to Hogwarts and other legendary locations, we talk about the bases that define heroes, villains, and epic stories across movies, comics, TV, and video games.As Nerd of Godcast relocates our own recording headquarters, we reflect on what it means when the location changes but the mission stays the same. We also connect this idea to faith, discussing how believers are called to adapt to new environments while staying focused on God's purpose.Plus, we're officially on the road to MegaCon Orlando as we prepare for our outreach to the nerd community at one of the biggest fan conventions in the country.If you love nerd culture, fandom discussions, and faith, this episode is for you.Topics include:Iconic fictional bases of operationsThe Batcave, Castle Grayskull, Hogwarts, and moreWhy heroes need a headquartersStaying on mission when your location changesOur journey to MegaCon Orlando

Everyone wants to talk about policy design. The percentages, pretty illustrations and early cash value. But Infinite Banking is not about chasing the prettiest policy. It's about building a financing system that works for you over decades. In this episode, Jim Oliver explains why many popular 90/10 high-PUA policies look impressive early but often weaken the long-term structure of a banking system. Using the analogy of turbochargers versus horsepower, Jim shows why policies with a stronger base often perform better over time. The real goal is not early optics. The goal is durability, control, and long-term capitalization. Key Takeaways Infinite Banking success comes from how the policy is used, not just how it's designed High PUA policies often look better early but weaken long-term performance A stronger base builds durability, guarantees, and long-term compounding power Wealth builders focus on volume of capital, not just the rate of return The best policies win over decades, not in the first few years

The Space Show Presents Jim Muncy, Sunday, 3-10-26Quick Summary:Our discussion focused on NASA's Artemis program changes and lunar development strategy, with Jim Muncy discussing NASA Administrator Jared's recent modifications to Artemis missions, including standardizing on the Centaur 5 upper stage and adding an Earth orbit rendezvous mission before lunar landing attempts. The discussion explored how these changes improve odds for a 2028 moon landing, with both HLS providers (SpaceX and Blue Origin) being encouraged to demonstrate their lander systems in Earth orbit by mid-2027. The conversation concluded with a debate about commercial lunar development, where Jim advocated for establishing a commercial lunar base from day one rather than creating a government-built facility, arguing that commercial solutions would drive more economic activity and scientific research on the moon than a government-only approach.Detailed Summary:Jim Muncy discussed NASA Administrator Jared's recent changes to the Artemis program, including the insertion of a lower orbit rendezvous mission, cancellation of the expiration upper stage and second mobile launch platform, and standardization on a commercial Centaur 5 upper stage. The changes aim to accelerate flight rates and challenge Boeing to demonstrate realistic production capabilities to support lunar base development. Jim noted that while SLS may not be the most affordable solution, the modifications have been generally well-received by the space community, with Gateway likely to be repurposed or replaced.Our guest discussed NASA's changes to the Artemis program, highlighting Jared's decision-making process and implementation of new strategies. The discussion covered the cancellation of SLS1D configuration in favor of SLS1A with a new upper stage, as well as plans to accelerate HLS contractors' development without government micromanagement. Jim noted that while SLS manufacturing could potentially be shut down after Artemis 3, the focus remains on achieving sustainable lunar missions rather than specific hardware elements.The group discussed the odds and timeline for a human moon landing in 2028 following recent changes to the Artemis program. Jim expressed optimism about achieving a lunar landing in 2028, citing the potential for one landing attempt with a human landing system (HLS) prototype in early 2028 and another in late 2028, contingent on accelerating the SLS core production rate to one per year. Our discussion highlighted that while SLS hardware is on track, the main bottleneck remains the development of HLS systems and spacesuits, with some participants noting that inserting an additional Artemis mission could both de-risk the process and help accelerate HLS development by setting shorter-term deadlines for the companies involved.Our discussed the importance of making the lunar base commercial from day one, emphasizing the need to avoid the mistakes made with the Space Shuttle and ISS programs. He proposed creating a “Port Authority for the Moon” that would oversee economic development and maximize user participation, rather than having a government-designed lunar base. James argued that infrastructure and services should be commercially provided, with NASA focusing on defining the actual value proposition for human presence on the moon rather than designing and managing infrastructure. The discussion also touched on the potential reuse of Gateway hardware for lunar surface operations and the need to demonstrate mission capabilities beyond just landing on the moon.Jim discussed the challenges of lunar habitation, arguing that commercial systems should be embraced for moon bases similar to those in low Earth orbit. Dallas mentioned reaching out to a former Boeing manager about providing a habitat for commercial use, though Boeing hasn't responded yet. James proposed having an authority act as a market maker to assess demand for lunar habitation capabilities based on input from all potential users. David raised concerns about different interests in lunar development, particularly the gap between academic/scientific and commercial interests, to which Jim responded that a commercial approach would likely lead to more human presence and capabilities on the moon than a government-only approach, citing the potential $50 billion in SpaceX investment capital becoming available later this year.Jim discussed the potential for scientists and entrepreneurs to coexist on the moon, arguing that there is no inherent conflict between science and commerce. He emphasized that growing the total resource base through private investment could benefit science budgets and suggested that scientists should be in charge of their own budgets rather than serving as a “fig leaf” for NASA's engineering programs. Joseph noted that infrastructure could facilitate science funding through grants, similar to other scientific enterprises. David reminded the audience that time was limited for additional questions or comments.We talked about the design of lunar modules, suggesting a collaborative process involving multiple companies and NASA to establish standardized features and potentially granting antitrust exemptions to facilitate industry cooperation. He mentioned that Blue Origin might develop a simplified version of their Blue Moon lander for earlier missions, with iterative improvements leading to more capable versions for lunar landings. James expressed that both SpaceX and Blue Origin have promising paths forward, with mid-2027 as a key milestone for low Earth orbit demonstrations, though he personally believed SpaceX might succeed first due to their earlier start. The discussion also touched on potential military involvement in lunar development and the possibility of commercial activities evolving into orbital data center manufacturing.Muncy discussed his vision for establishing a commercial lunar base where entrepreneurs could test and compete with Earth-launched technologies, particularly orbital data centers. He emphasized the importance of using lunar materials for manufacturing and expressed interest in partnerships between NASA and the nuclear power industry to develop lunar power capabilities. The group also discussed power generation options on the moon, including solar power and nuclear reactors using thorium, with Dallas noting that current power solutions would likely cost around triple digits per kilowatt hour.Special thanks to our sponsors:American Institute of Aeronautics and Astronautics, Helix Space in Luxembourg, Celestis Memorial Spaceflights, Astrox Corporation, Dr. Haym Benaroya of Rutgers University, The Space Settlement Progress Blog by John Jossy, The Atlantis Project, and Artless EntertainmentOur Toll Free Line for Live Broadcasts: 1-866-687-7223 (Not in service at this time)For real time program participation, email Dr. Space at: drspace@thespaceshow.com for instructions and access.The Space Show is a non-profit 501C3 through its parent, One Giant Leap Foundation, Inc. To donate via Pay Pal, use:To donate with Zelle, use the email address: david@onegiantleapfoundation.org.If you prefer donating with a check, please make the check payable to One Giant Leap Foundation and mail to:One Giant Leap Foundation, 11035 Lavender Hill Drive Ste. 160-306 Las Vegas, NV 89135Upcoming Programs:Upcoming ShowsBroadcast 4518: Zoom: John Hunt | Tuesday 17 Mar 2026 700PM PTGuests: John HuntZoom: John Hunt is back with his UAP update with lots of new information and actions.Broadcast 4519: Hotel mars with Rahil Makadia | Wednesday 18 Mar 2026 930AM PTGuests: John Batchelor, Dr. David Livingston, Rahil MakadiaHotel Mars: Updates on the DART Mission. Don't miss this segment!Friday, March 20: No program but check Upcoming Show Menu for possible last minute changes | Friday 20 Mar 2026 930AM PTGuests: Dr. David LivingstonFriday, March 20: No program but check Upcoming Show Menu for possible last minute changesBroadcast 4520: Zoom: Space Show AI User Program | Sunday 22 Mar 2026 1200PM PTGuests: Dr. David LivingstonZoom: By demand this is the program with Space Show Advisors & guests describing their AI usage, how and why.Space Show weekly schedule pending. See Upcoming Show Menu on the right side of our home page, www.thespaceshow.com. The weekly newsletter will be posted on Substack when completed. Get full access to The Space Show-One Giant Leap Foundation at doctorspace.substack.com/subscribe

Trump Declares War On MAGA Base, Says Anyone Not Endorsing Never-Trumper/Neocon Warmonger Mark Levin Will Be Excommunicated From Trump Universe! Tune In NOW For Latest Developments

In the new rebranded Guardian Down Roundtable, we're officially leveling up. We're moving beyond our Destiny roots to tackle the entire gaming industry. The mission is still the same, though: keeping you guys in the loop and making sure every kind of player has a seat at the table. We're bringing in some awesome guest co-hosts to riff on everything from new tech to how gaming culture is actually changing the world. We're also diving deep into the 'Live Service' struggle—are these games finally evolving, or is the era of the endless grind starting to fade? Let's get into it."The industry is a bit of a mess right now, so we sat down to break it all down. Kingsley gave us the high-level tech update, and then our guests weighed in on the corporate vs. gamer struggle. We dove deep into why 'instant gratification' culture is hurting creativity and why indies are currently outshining the AAA giants. It's not all doom and gloom, though—we wrapped up by sharing what we're playing and why we still love this hobby despite the headaches. If you care about where gaming is going, you don't want to miss this one.

This year's MWC took place as the telecom industry is at a crossroads, with additional monetization of 5G beyond mobile broadband less certain, smartphone growth flattening, AI influence increasing, and more questions than answers about the future. In this episode, Neil Shah of Counterpoint Research, Leonard Lee of Next Curve, and I discuss our experience at the event, and analyze the traction and monetization of 5G Advanced, Autonomous Networks, compare and contrast the progress of Western and Asian markets, the opportunity for AI for telecom, early use cases, and the prospect of RAN for AI. 6G and more. We also delve into whether telcos are better positioned for the sovereign AI and Data Center market. Index: 00:00 - Intro 00:35 - Guest intro (Neil Shah, Leonard Lee) 01:10 - MWC attendance 02:23 - Major themes of the event - 5G Advanced, AI, Autonomous Networks, 6G 07:00 - AI Ops for operators (AI for Telco) - Customer Care, Marketing, Billing, HR, Network Management, etc. 14:43 - AI for Networks Ops - Challenges,(data for AI) opportunities, and progress so far 17:38 - Autonomous Networks - Chinese operators at Level-4 (pockets), others at Level-2/2.5 21:30 - Current status of AI - Frank talk by Samsung Network executives on the current status 23:14 - Challenges of extending Autonomous Networks beyond China (by Chinese vendors), need for monetization opportunities 25:56 - Can the 5G Advanced monetization use case, successful in China, work in the US/Europe? 29:42 - RAN for AI, feasibility of GPU at Base stations, and challenges (power, weight, space) 33:29 - 6G - Qualcomm sensing demos, Ericsson/Apple - 5G/6G spectrum sharing (MRS) demo, uplink, need for monetization going beyond wireless service 41:25 - Are operators better positioned to offer Sovereign AI Data Centers - Deutsche Telekom's strategy, similar approach by Middle East /Korea, Is sovereignty is about data or also includes models?  50:50 - Did MWC 2026 move the needle for operators? 52:35 - Closing

In this episode of The Wrap, Chris Whalen warns that private credit could become one of the biggest busts in U.S. financial history — not a systemic crisis, but a slow, painful unwind that will take years and leave many investors with no legal rights. He alleges that BDC accounting fraud is already systemic and the SEC isn't paying attention. On the macro, he says the Fed should still cut rates one to two times this year despite oil near $100 because war is not a monetary event — and that raising into an oil shock, as some central banks did before 2008, would be a mistake. He predicts a significant housing price correction by 2028, calls Trump's economic agenda incoherent, and warns that $100 oil by election day could cost Republicans the midterms. His highest conviction position right now: preserving capital.Thank you to our partners at Goldco. Get your free 2026 Gold & Silver Kit at https://goldco.com/thewrapLinks:    The Institutional Risk Analyst: https://www.theinstitutionalriskanalyst.com/  Inflated book (2nd edition): https://www.barnesandnoble.com/w/inflated-r-christopher-whalen/1146303673Twitter/X: https://twitter.com/rcwhalen    Website: https://www.rcwhalen.com/   Use the code TheWrap2026 for 25% off your first year of The Institutional Risk Analyst https://www.theinstitutionalriskanalyst.com/plans-pricingTimestamps:0:00 - Intro and welcome back Chris Whalen 0:31 JPMorgan pulling back from private credit 4:32 - The $4.2 trillion exposure number most investors don't know about7:05 - Where Whalen is personally invested right now 8:02 - Is private credit systemic or not? 8:43 - "Risk is never contained" — what to think when you hear that language 11:42 - Will the Trump administration end in a financial crisis? 13:50 - Rate cuts — will the Fed move despite $100 oil? 16:16 - Base case: one to two cuts, oil at $100 most of the year 17:51 - Housing off the radar in Washington? 19:22 - Midterms — is Trump cooked? 20:30 - Trump's economic endgame  23:05 - Gold and silver — breakout or going sideways? 25:57 - Banks28:12 - Viewer mail35:43 - What Whalen is watching next week

In his latest statement, President Trump dismissed the entire Jeffrey Epstein scandal as a "hoax," lumping it in with other topics he claims were weaponized against him, such as the Steele Dossier and alleged election interference. He referred to Epstein-related concerns as “bullshit” and implied that anyone who still believes Epstein's crimes warrant serious scrutiny has been duped by political forces. Trump went so far as to say he doesn't want the support of people who “fell for it,” suggesting that raising questions about Epstein's network or seeking accountability is a mark of weakness or gullibility.This statement represents a stark departure from Trump's previous posture as a populist outsider fighting corruption. Rather than acknowledging the documented evidence, victims, and convictions tied to Epstein's operation, he now frames the entire case as a partisan fabrication, effectively erasing the legitimacy of survivor testimony and criminal findings. His remarks have drawn sharp criticism from former supporters who once believed he would be the one to expose elite misconduct. Now, they find themselves cast aside by a President who appears more concerned with protecting his image than confronting the truth.to contact me:bobbycapucci@protonmail.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-epstein-chronicles--5003294/support.

Episode 5214: The MAGA Base Demands Mass Deportations Out Of The Admin

4. Veronique de Rugy: Explains the mass exodus of affluent individuals from high-tax states due to billionaire tax proposals,. She warns that "one-time" taxes historically become permanent, broadening their base to include the middle class,,. (35 words) (4)1910 PACIFIC PALISADES

In this episode, Eric Stark breaks down the #1 mistake people make when upgrading an RV toilet: assuming the new toilet will connect the same way as the old one. The floor mounting is usually straightforward, but the water supply connection is where most upgrades get hung up—different fittings, different angles, and sometimes a water line that needs to be replaced or adapted. Eric also covers what really matters when choosing a replacement toilet (spoiler: it's not the brand name). You'll learn the measurements to check before you buy, including the bolt spacing and the “back-to-wall” clearance that can make certain upgraded models sit too deep or not fit at all. Plus, listeners are invited to share what black tank treatments have worked best for them, and Eric wraps up with a look at new Camco sewer hose fitting upgrades designed to make hookups easier and more reliable. Episode Focus: RV toilet replacement and upgrades — what actually causes problems, and how to avoid them. What we cover The #1 RV toilet upgrade mistake:assuming thewater connectionis universal Whybrand usually doesn't matterfor mounting: most RV toilets bolt down to the flange in a similar wayThe real “gotchas” when swapping toilets:Water supply line fitment(may need a new line, adapter, or reroute)Fitting types and anglesthat change between modelsClearance to the wall(“too deep” problems when upgrading to larger/elongated styles)What to measurebeforeyou order:Base footprint and bolt positionDistance from mounting bolts to the wallWater line location and accessPractical tips fromEric Starkfor a smoother install:Don't assume—verify your connection type and space Plan for a water line update even if the toilet swap looks “simple” Confirm you can still access fittings after the new toilet is in placeCommunity question:What black tank treatments work best for you?Let Me Know?Gear talk / wrap-up:A look atCamco's newer sewer hose fittingsand why they can make connections faster, cleaner, and more reliable Resources Mentioned in this Episode:  Here is a link to the 2 RV Accessory Catalogs - 2026 RV Catalogs  Camco Sewer Hose Cool Fittings - Latest Fittings that Swivel and Light Up PICQUIC RV Screwdriver - RV Driver w/ Bits Contact Us - Call, Text, Video, Email Our Online Resources:  The Smart Rver YouTube Channel - Check Out Our No-Nonsense YouTube Videos Sunpro Mfg - RV Sunshade, Windshield Covers & Slide Out Awning Fabrics Hot Boat Ropes - Marine Cordage- Anchor Lines, Dock Lines, Tow Lines, etc. Top Rated Podcast - The Smart RVer Podcast Website

It has been two weeks since the start of the conflict in the Middle East and supply-side issues remain the top concern for commodity markets. In addition to shipping troubles, the region is also forced to halt production due to persistent infrastructure attacks and limited storage. While oil & gas dominate headlines, metals are also running into trouble. In today's episode, we summarize everything you need to know about metals markets, as well digest developments in oil.   Speakers:  Natasha Kaneva, Head of Global Commodities Research Greg Shearer, Head of Base and Precious Metals Strategy   This podcast was recorded on March 13, 2026.   This communication is provided for information purposes only. Institutional clients can view the related report at  https://www.jpmm.com/research/content/GPS-5232475-0, https://www.jpmm.com/research/content/GPS-5233598-0, and https://www.jpmm.com/research/content/GPS-5228729-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 2026 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party.

In this episode, Cherise is joined by Andrew Smith, AIA, APT RP, Principal and Historical Architect at Hennebery Eddy Architects in Portland, Oregon. They discuss the Oregon Supreme Court Interior Modernization and Seismic Retrofit in Salem, Oregon.You can see the project here as you listen along.The rehabilitation of the Oregon Supreme Court Building stands as a model for how historic preservation and forward-looking resilience can coexist within a single architectural vision. A triple-friction-pendulum base isolation system was inserted beneath the building, effectively decoupling the superstructure from ground motion. This move transforms the foundation into a dynamic interface: in a Cascadia Subduction Zone event, the ground may oscillate laterally up to two feet while the building above remains comparatively stable.If you enjoy this episode, visit arcat.com/podcast for more.If you're a frequent listener of Detailed, you might enjoy similar content at Gābl Media.Mentioned in this episode:Social Channel Pre-rollPromotes the YouTube channel, ARACTemy, and social handle.

Invité :Général Dominique TrinquandChroniqueurs :Jules TorresGeorge FenechSarah SaldmannOlivier GuennecSabrina MedjebeurFabien OntenienteVous voulez réagir ? Appelez-le 01.80.20.39.21 (numéro non surtaxé) ou rendez-vous sur les réseaux sociaux d'Europe 1 pour livrer votre opinion et débattre sur grandes thématiques développées dans l'émission du jour.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Invité :Général Dominique TrinquandChroniqueurs :Jules TorresGeorge FenechSarah SaldmannOlivier GuennecSabrina MedjebeurFabien OntenienteHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Matt Spiegel and Laurence Holmes discussed how Cubs utilityman Matt Shaw could see time at first base this season.

Iran Strikes Back... and doubled down on a massive missile attack against targets that the MSM will not show you. Iran struck ships near the strait of Hurmuz that tried to sneak through. 

Drones Stolen From US Military Base As FBI Warns Of Iranian Drone Attacks In California, Plus Trump Bashes Rep. Massie AGAIN During Kentucky Rally

For episode 691 of the BlockHash Podcast, host Brandon Zemp is joined by Amit Mahensaria, Co-Founder and CEO of PRED.Pred operates as a peer-to-peer sports prediction exchange built on Base blockchain. Unlike traditional sportsbooks that profit from your losses, Pred generates revenue through trading fees on matched orders. The key distinction: we don't take the other side of your trade, we just run the market.Amit Mahensaria has spent the last two decades building and scaling ventures that bridge technology with learning outcomes and employability. His career crosses startup building, corporate finance, and edtech product leadership  grounded in top Indian technical and business education. 

This week has been a curious mix of in-between weather: oddly misty days with some areas of the U.K. looking distinctly Dickensian as ‘pea-souper' fogs rolled in, though spring sunshine tried to peek through. Other days it's felt almost autumnal again - chilly enough to crave our cosier clothes (and fragrances!) again.After chatting through what we've been wearing in these confusing times, we take a look at some more questions listeners have sent in (through Instagram DMs @onthescentpodcast & Facebook group comments), with requests including snuggly scents, two listeners desperately seeking replacements for discontinued perfumes they adored; and an _intensely_ personal memory-making fragrance.In this episode…What We're Wearing:Suzy:Frederic Malle Contre-Jour‘Built against conventional patterns, this fragrance reveals a dazzling yet elusive trail that invites one to never be defined. The perfume echoes the spirit of the mediterranean wildflower ‘Everlasting Flower', famed for its extraordinary longevity, a sunlit yellow bloom, contrasting with dark, untamable depths of its scent.Master perfumer Annick Ménardo drew from this inspiration to craft a fragrance that defies traditional olfactive structures. Notes of the Everlasting Flower unfurl a spicy, almond-tinged nature, dancing alongside an intense rose absolute, embracing its shadows and thorns. To imprint this manifesto on the skin, sandalwood oil offers a rhythm, amplifying the enigma of this creation. Captivated by the allure of contradictions, Annick Ménardo creates fragrances of a new era, for those who cherish their own mystery.Top notes: everlasting flowerMiddle notes: rose damascenaBase notes: sandalwood.'Jean-Charles Brosseau Ombré Rose eau de toilette‘A quiet morning unfolds in a sunlit Parisian salon. The air is filled with the soft rustle of silk and the gentle clink of porcelain teacups. A bouquet of fresh roses sits atop a lace-covered table, its scent mingling with the delicate aroma of peach and honey. The room exudes an air of timeless elegance, where every detail whispers of grace and refinement.'Connock Kukui‘Connock's signature scent is an elegant, floriental fragrance inspired by the wild, natural beauty of the Hawaiian Islands.Kukui is built around the gardenia flower, complemented by fresh bergamot and a full bouquet of delicate floral notes including white jasmine, moroccan rose and calla lily. The fragrance is further enriched with base notes of sandalwood, amber, patchouli and musk.'Nicola:Bamford Woodland Moss‘A woody fragrance true to the elegant simplicity of its namesake. Earthy patchouli is balanced with aromatic notes of sage, angelica, and rose. Woodland Moss pays homage to the diverse and intimate landscape of English woods.'Nécessaire The Deodorant‘A woody fragrance true to the elegant simplicity of its namesake. Earthy patchouli is balanced with aromatic notes of sage, angelica, and rose. Woodland Moss pays homage to the diverse and intimate landscape of English woods.'Merit Retrospect‘A rich, nuanced scent that evolves throughout the day. Soft, clean notes open, followed by a subtle floral center before settling into a base of musk, vanilla, and moss for a warm, second-skin finish.'Listener Prescriptions:Aga7006 asked for ideas of warm, cosy perfumes for cold days.We suggested…Anillo Fig WhiskyFig Whisky Eau De Parfum opens with ripe fig and smoky rum, deepening into woods and amber for a fragrance that feels bold yet comfortingTop notes: fruity (fig)Middle notes: smoky (rum, patchouli, pepper)Base notes: woody (sandalwood, musk, amber.'Maison Louis Marie Vanille Infinie‘No.15 Vanille Infinie unfolds as a warm, luminous composition, soft vanilla layered with citron, sugared amber and cashmere oud for gentle resinous warmth. The Eau de Parfum evolves naturally on skin, shifting with your body heat to reveal a smooth, enveloping trail that feels both intimate and enduring.'Commodity Milk (Bold)‘Milk's warm notes of Marshmallow, Tonka Bean and Mahogany Wood emblazoned with the unexpected smoky depth of Firewood and Amber. A smoky, sweet and inviting scent to be worn with confidence.'Ellis Brooklyn Vanilla Milk‘Delicious yet sophisticated, faceted yet smooth, VANILLA MILK is a fragrance of paradoxes. VANILLA MILK eau de parfum uses two types of vanilla extracts, a touch of florals, delectable cocoa shell, rich amyris, and a creamy milk accord.Top: creamy milk accord, frangipani, peony roseHeart: bourbon vanilla bean, madagascar vanilla bean extract, upcycled cocoa shell extractDry Base: benzoin resinoid, amyris, sandalwood, musk.'Stelladoodle‘I've been seeking a reasonable facsimile of Tom Ford's discontinued SaharaNoir. Help!'[Sahara Noir (2013) is a discontinued, amber-woody fragrance inspired by the mystery of the Middle East. It was all about intense, dry frankincense, resinous labdanum, beeswax, and oud. It was often described as a smoky, golden, and balsamic aroma.We suggest…Amouage Royal Tobacco‘Royal Tobacco is a fragrant journey along the Tropic of Cancer from Oman to Cuba, connecting Royal Frankincense to Regal Tobacco. Interpreted by renowned perfumer Cecile Zarokian, a unique accord of Frankincense and Tobacco bursts alive in a novel and rich sensory experience.'Top notes: frankincense oil, elemi, cardamom, anise, basil, bergamotHeart notes: tobacco absolute, liquorice root, lavender, prunol, fenugreek, orange blossom, osmanthus, roseBase notes: frankincense resinoid, peru balsam, benzoin, labdanum, myrrh, birch tar, tonka bean, vanilla madagascar, vetiver, guaiac wood, oud assam, musks.'AKRO SMOKE‘SMOKE is our addictive tobacco fragrance.Tobacco is an ancient crop, which for centuries, has lured people in with its enticing aroma and powerful rituals. It's the shared, flirtatious exchange of preparing a roll-up for someone, it's the way the tobacco leaf crumbles between your fingers, the smell of flame hitting paper. SMOKE is the scent you're not supposed to enjoy, but the one you can't live without.'NOTESTOP: tobacco leavesMIDDLE: birchBASE: benzoin, tonka.'Boadicea the Victorious Tobacco SapphireThis glows with honeyed tobacco and shimmering oud, its smoky heart softened by magnolia, rose, and heliotrope. Spiced accents of cumin, coriander, mandarin, incense, and saffron ripple through resinous woods of benzoin, cistus, patchouli, and moss. Vanilla and musk lend a gilded warmth, while caramel, hay, and a trace of singed paper curl into the air - a golden haze of nostalgia and opulence.(Also try the Sonoma Studio Tabac Aurea mentioned last week!)jen.m.coyleAsked for ‘A replacement scent for original Tiffany's by Tiffany and Co. (Now discontinued)?'[The original Tiffany fragrance was launched in 1987, by François Demachy. The notes were: Top notes: black currant syrup and Italian mandarin, middle notes: violet leaf, lily of the valley, orange blossom, ylang ylang, iris, jasmine and Damascus rose. The base was: woody accords of sandalwood, vetiver, amber and vanilla.]We wondered if they'd tried…Diptyque L'Ombre Dans L'Eau eau de toilette‘A fragrance with pictorial qualities. The green of blackcurrant leaves mingles with the tart, fruity notes of blackcurrant buds and the floral intensity of rose.In L'Ombre dans l'Eau eau de toilette, a romantic painting comes to life - a summer slumber beneath a tree on a river bank.'Tocca Maya‘Maya is a thoughtfully indulgent manifestation of the divine feminine. In a warm floral of exquisite character, wild iris and Bulgarian rose find strength in blackcurrant, earthy patchouli and sandalwood.Florida bitter orange, sweet violet leaf, blackcurrant, Bulgarian rose, jasmine, wild iris, patchouli, sandalwood, and oakmoss.'Guerlain Chamade‘Dedicated to liberated women, this green ambery floral blends the fruity accents of blackcurrant buds with a dynamic hyacinth accord and galbanum on a vanilla base. A bold embodiment of freedom, both to be and to love.'Maison Margiela Replica On a Date‘Inspired by a magical date on a late summer's evening overlooking the magnificent vineyards of Provence at sunset. It captures the sparkling and addictive fruitiness of ripe grapes soaked in warm sunshine, and the delicate yet decisive character of wild roses.'‘Britt Frank In Scents' shared an incredibly personal story of loss and battling rare illness in her family. She sought ‘a fragrance that I could wear in memory of my extraordinary son and my father. Something that tells of the devastation of losing them but also the blessing and joy of having them in my life. Something that tells of the pride that I have in both of them for the mark they left on the world.'Suzy

The Joint Readiness Training Center is pleased to present the one-hundredth-and-thirty-eighth episode to air on ‘The Crucible - The JRTC Experience.' Hosted by MAJ Amy Beatty, the Task Force Executive Officer Observer-Coach-Trainer from Task Force Sustainment (Division Sustainment Support Battalion / Light Support Battalion) on behalf of the Commander of Ops Group (COG). Today's guests are CPT Cody Kindle and CPT Christopher Ward. CPT Kindle the S-4 Sustainment Planner for JRTC's Plans / Exercise Maneuver Control Task Force. CPT Ward is the A Co CDR OCT (Distro / BSA) from Task Force Sustainment (DSSB / LSB).   This episode examines the employment of base clusters within the brigade support area (BSA) as a survivability technique in the modern battlefield. The discussion highlights how sustainment units must adapt to a highly transparent and lethal operating environment where UAS surveillance, long-range fires, and precision targeting threaten traditional large logistics footprints. Rather than concentrating sustainment elements in a single BSA, base clusters disperse key functions—such as maintenance, distribution, medical support, and command nodes—across multiple smaller positions that remain mutually supporting. This dispersion reduces the likelihood that a single enemy strike can disrupt sustainment operations while still enabling brigades to maintain logistics flow to maneuver battalions.   The conversation also emphasizes the planning and synchronization required to make base clusters effective. Leaders discuss the importance of terrain analysis, security integration, camouflage and signature management, and disciplined reporting to maintain a shared operational picture across dispersed sustainment nodes. Effective base clusters require coordinated movement control, rehearsed displacement drills, and strong communications architecture to ensure that dispersed elements can still function as a cohesive support network. Ultimately, the episode frames base clusters as a critical adaptation for sustainment survivability in large-scale combat operations, enabling brigades to continue fueling, arming, and repairing combat forces despite persistent enemy reconnaissance and precision strike threats.    Part of S05 “Beans, Bullets, Band-Aids, Batteries, Water, & Fuel” series.   For additional information and insights from this episode, please check-out our Instagram page @the_jrtc_crucible_podcast.   Be sure to follow us on social media to keep up with the latest warfighting TTPs learned through the crucible that is the Joint Readiness Training Center.   Follow us by going to: https://linktr.ee/jrtc and then selecting your preferred podcast format.   Again, we'd like to thank our guests for participating. Don't forget to like, subscribe, and review us wherever you listen or watch your podcasts — and be sure to stay tuned for more in the near future.   “The Crucible – The JRTC Experience” is a product of the Joint Readiness Training Center.

American medical tech firm Stryker has been impacted by a global cyber attack targetting the firms operations. For more on this Ken Sheehan of cybersecurity firm Smarttech 24-7.

'La ola ultra' es la nueva serie documental de la Ser y El País que analiza el auge de los movimientos violentos de extrema derecha Aimar Bretos entrevista a sus creadores Javier Bañuelos, Belén Fernández y Alfonso Ojea a propósito del estreno de su primer capítulo, 'The Base', ya disponible.

Nick Tilsen, Founder & CEO of NDN Collective, sits down with Taylor Gunhammer, local organizer, to discuss the attack on Pe'sla, a sacred site for many tribes in the Black Hills region. Local company Pete Lien & Sons (PLS) will be doing exploratory drilling, looking for graphite. This drilling will destroy sacred land and risk contaminating the water that many in the region depend on.CALLS TO ACTION: ☎️Call the Forest Service at (605) 343-1567 to demand they rescind the permit for Pe'sla drilling and the decision to grant a Categorical Exclusion (CE) for their exploratory drilling permit. They have no right to violate our rights, declare Indigenous culture an acceptable loss, cut us out of the process, or endanger the drinking water of thousands of people and Ellsworth Air force Base. Call the US Forest Service and tell them to leave Pe'sla alone!!

They won a conference championship. They graduated. And then the sport they gave everything to had nowhere for them to go. Getting On Base is a documentary that follows the Cal State Fullerton Titans through their championship season and asks the question women's softball has been waiting for someone to ask out loud: why doesn't elite talent have a professional destination? I sat down with writer and director Carolyn Coal for 40-minutes that will change how you think about Title IX, women's sports, and who we decide is worth investing in. Watch the full episode now. Like, subscribe, and drop a comment: what do YOU think a real professional pathway for women's softball looks like?#LeadersAndLearners #GettingOnBase #WomenInSports #Softball #TitleIX #GenderEquity #Documentary #CTRLtheNarrative #SandAndShores

P.M. Edition for Mar. 10. Today Georgia's 14th congressional district holds a special election to fill the congressional seat left vacant by former Republican Rep. Marjorie Taylor Greene. WSJ national politics reporter Sabrina Siddiqui speaks with reporters Aaron Zitner and Cameron McWhirter about Republican voters' stance on President Trump's military campaigns. Plus, the Senate has introduced a new provision in its housing bill that would force large investors to sell homes within seven years of them being built. We hear from Journal reporter Rebecca Picciotto about how the industry is responding. And oil prices continue their slide as investors hope the world's biggest economies will release strategic oil reserves. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Donate (no account necessary) | Subscribe (account required) Join Bryan Dean Wright, former CIA Operations Officer, as he dives into today's top stories shaping America and the world. In this episode of The Wright Report, Bryan covers a new intelligence warning tied to the war with Iran, including mysterious shortwave radio broadcasts believed to be coded signals that could activate Iranian sleeper agents abroad.    He also breaks down the latest military developments, from the remaining Iranian missiles and drones threatening the Strait of Hormuz to the growing oil crisis as tankers remain stuck and global markets brace for shortages.    Finally, Bryan examines the economic and political fallout, including pressure on President Trump to release U.S. strategic oil reserves, new polling on the war's popularity, and signs the White House may be narrowing its war goals to stopping Iran's nuclear program as a possible off-ramp.    "And you shall know the truth, and the truth shall make you free." - John 8:32     Keywords: Iran war update, Iranian sleeper agents shortwave radio, Strait of Hormuz crisis, Iran missiles TEL launchers, global oil shock 2026, Strategic Petroleum Reserve debate, Trump Iran nuclear strategy, U.S. Iran conflict analysis, Bryan Dean Wright podcast, The Wright Report

Macro trends blogger and economist David Woo, CEO of David Woo Unbound and co-author of the upcoming financial thriller Merry Go Round Broke Down, returns to the show to break down the geopolitical and market implications of the US-Iran conflict. Woo argues that markets are dangerously mispricing the situation, betting either on a quick Trump "TACO" or a rapid US victory — both of which he sees as unlikely. With the Strait of Hormuz effectively closed, oil sitting near $100 a barrel, and Iran executing a measured, strategic response, Woo believes this conflict is far more protracted than Wall Street is pricing. He explains why Trump, now effectively a lame duck after the Supreme Court's tariff ruling, is unlikely to back down given the enormous legacy stakes, and why China's deep investment in Iran makes this the first real US-China proxy war. Woo also breaks down the winners and losers globally, shares his current positioning — short stocks, long oil — and warns that an interaction between rising oil prices, the AI bubble, and private credit stress could be the perfect storm markets aren't prepared for.Links:  Book: https://www.amazon.com/Merry-Go-Round-Broke-Down-Novel-Globalization/dp/B0GCX8Y6KTYouTube: https://www.youtube.com/@DavidWooUnbound Website: https://www.davidwoounbound.com/ Twitter/X: https://twitter.com/Davidwoounbound00:00 Introduction00:43 Setting the geopolitical stage01:16 Why markets are dangerously complacent03:34 Why Trump won't TACO this time05:50 Trump's legacy shift — why Iran, why now07:48 Iran's military capabilities — what the US hasn't destroyed10:14 Oil at $95 — what's actually priced in12:47 The Strait of Hormuz and what markets are missing15:11 Can the Fed cut rates at $100 oil?16:00 Retail investors driving the market higher17:56 Global recession risk19:57 Winners and losers — Canada, Russia, Europe, Japan20:27 Why the midterms are almost irrelevant now24:41 Base case — Trump loses the House26:00 Why Trump is moving on Iran before lame duck sets in28:09 Regime change and the greatest presidential legacy29:55 China-Iran railroad and the real proxy war31:24 Can the US control the Strait of Hormuz?33:00 The Houthis playbook 35:15 UAE under attack — interceptors running out37:04 Iran's civilization and strategic depth39:12 David's positions — short stocks, long oil40:42 When will markets wake up?43:21 Most likely outcome — civil war not regime change45:11 What Xi Jinping is thinking right now47:03 Is this worth the risk for the US?49:43 The Pearl Harbor analogy and China's Belt and Road52:39 Gold, crowded trades getting blown out55:38 Private credit, the AI bubble and the perfect storm58:44 What's keeping David up at night — AI01:03:07 David's book — Merry Go Round Broke Down

Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!Now that AIE Europe tix are ~sold out, our attention turns to Miami and World's Fair!The definitive AI Accelerator chip company has more than 10xed this AI Summer:And is now a $4.4 trillion megacorp… that is somehow still moving like a startup. We are blessed to have a unique relationship with our first ever NVIDIA guests: Kyle Kranen who gave a great inference keynote at the first World's Fair and is one of the leading architects of NVIDIA Dynamo (a Datacenter scale inference framework supporting SGLang, TRT-LLM, vLLM), and Nader Khalil, a friend of swyx from our days in Celo in The Arena, who has been drawing developers at GTC since before they were even a glimmer in the eye of NVIDIA:Nader discusses how NVIDIA Brev has drastically reduced the barriers to entry for developers to get a top of the line GPU up and running, and Kyle explains NVIDIA Dynamo as a data center scale inference engine that optimizes serving by scaling out, leveraging techniques like prefill/decode disaggregation, scheduling, and Kubernetes-based orchestration, framed around cost, latency, and quality tradeoffs. We also dive into Jensen's “SOL” (Speed of Light) first-principles urgency concept, long-context limits and model/hardware co-design, internal model APIs (https://build.nvidia.com), and upcoming Dynamo and agent sessions at GTC.Full Video pod on YouTubeTimestamps00:00 Agent Security Basics00:39 Podcast Welcome and Guests07:19 Acquisition and DevEx Shift13:48 SOL Culture and Dynamo Setup27:38 Why Scale Out Wins29:02 Scale Up Limits Explained30:24 From Laptop to Multi Node33:07 Cost Quality Latency Tradeoffs38:42 Disaggregation Prefill vs Decode41:05 Kubernetes Scaling with Grove43:20 Context Length and Co Design57:34 Security Meets Agents58:01 Agent Permissions Model59:10 Build Nvidia Inference Gateway01:01:52 Hackathons And Autonomy Dreams01:10:26 Local GPUs And Scaling Inference01:15:31 Long Running Agents And SF ReflectionsTranscriptAgent Security BasicsNader: Agents can do three things. They can access your files, they can access the internet, and then now they can write custom code and execute it. You literally only let an agent do two of those three things. If you can access your files and you can write custom code, you don't want internet access because that's one to see full vulnerability, right?If you have access to internet and your file system, you should know the full scope of what that agent's capable of doing. Otherwise, now we can get injected or something that can happen. And so that's a lot of what we've been thinking about is like, you know, how do we both enable this because it's clearly the future.But then also, you know, what, what are these enforcement points that we can start to like protect?swyx: All right.Podcast Welcome and Guestsswyx: Welcome to the Lean Space podcast in the Chromo studio. Welcome to all the guests here. Uh, we are back with our guest host Viu. Welcome. Good to have you back. And our friends, uh, Netter and Kyle from Nvidia. Welcome.Kyle: Yeah, thanks for having us.swyx: Yeah, thank you. Actually, I don't even know your titles.Uh, I know you're like architect something of Dynamo.Kyle: Yeah. I, I'm one of the engineering leaders [00:01:00] and a architects of Dynamo.swyx: And you're director of something and developers, developer tech.Nader: Yeah.swyx: You're the developers, developers, developers guy at nvidia,Nader: open source agent marketing, brev,swyx: and likeNader: Devrel tools and stuff.swyx: Yeah. BeenNader: the focus.swyx: And we're, we're kind of recording this ahead of Nvidia, GTC, which is coming to town, uh, again, uh, or taking over town, uh, which, uh, which we'll all be at. Um, and we'll talk a little bit about your sessions and stuff. Yeah.Nader: We're super excited for it.GTC Booth Stunt Storiesswyx: One of my favorite memories for Nader, like you always do like marketing stunts and like while you were at Rev, you like had this surfboard that you like, went down to GTC with and like, NA Nvidia apparently, like did so much that they bought you.Like what, what was that like? What was that?Nader: Yeah. Yeah, we, we, um. Our logo was a chaka. We, we, uh, we were always just kind of like trying to keep true to who we were. I think, you know, some stuff, startups, you're like trying to pretend that you're a bigger, more mature company than you are. And it was actually Evan Conrad from SF Compute who was just like, you guys are like previousswyx: guest.Yeah.Nader: Amazing. Oh, really? Amazing. Yeah. He was just like, guys, you're two dudes in the room. Why are you [00:02:00] pretending that you're not? Uh, and so then we were like, okay, let's make the logo a shaka. We brought surfboards to our booth to GTC and the energy was great. Yeah. Some palm trees too. They,Kyle: they actually poked out over like the, the walls so you could, you could see the bread booth.Oh, that's so funny. AndNader: no one else,Kyle: just from very far away.Nader: Oh, so you remember it backKyle: then? Yeah I remember it pre-acquisition. I was like, oh, those guys look cool,Nader: dude. That makes sense. ‘cause uh, we, so we signed up really last minute, and so we had the last booth. It was all the way in the corner. And so I was, I was worried that no one was gonna come.So that's why we had like the palm trees. We really came in with the surfboards. We even had one of our investors bring her dog and then she was just like walking the dog around to try to like, bring energy towards our booth. Yeah.swyx: Steph.Kyle: Yeah. Yeah, she's the best,swyx: you know, as a conference organizer, I love that.Right? Like, it's like everyone who sponsors a conference comes, does their booth. They're like, we are changing the future of ai or something, some generic b******t and like, no, like actually try to stand out, make it fun, right? And people still remember it after three years.Nader: Yeah. Yeah. You know what's so funny?I'll, I'll send, I'll give you this clip if you wanna, if you wanna add it [00:03:00] in, but, uh, my wife was at the time fiance, she was in medical school and she came to help us. ‘cause it was like a big moment for us. And so we, we bought this cricket, it's like a vinyl, like a vinyl, uh, printer. ‘cause like, how else are we gonna label the surfboard?So, we got a surfboard, luckily was able to purchase that on the company card. We got a cricket and it was just like fine tuning for enterprises or something like that, that we put on the. On the surfboard and it's 1:00 AM the day before we go to GTC. She's helping me put these like vinyl stickers on.And she goes, you son of, she's like, if you pull this off, you son of a b***h. And so, uh, right. Pretty much after the acquisition, I stitched that with the mag music acquisition. I sent it to our family group chat. Ohswyx: Yeah. No, well, she, she made a good choice there. Was that like basically the origin story for Launchable is that we, it was, and maybe we should explain what Brev is andNader: Yeah.Yeah. Uh, I mean, brev is just, it's a developer tool that makes it really easy to get a GPU. So we connect a bunch of different GPU sources. So the basics of it is like, how quickly can we SSH you into a G, into a GPU and whenever we would talk to users, they wanted A GPU. They wanted an A 100. And if you go to like any cloud [00:04:00] provisioning page, usually it's like three pages of forms or in the forms somewhere there's a dropdown.And in the dropdown there's some weird code that you know to translate to an A 100. And I remember just thinking like. Every time someone says they want an A 100, like the piece of text that they're telling me that they want is like, stuffed away in the corner. Yeah. And so we were like, what if the biggest piece of text was what the user's asking for?And so when you go to Brev, it's just big GPU chips with the type that you want withswyx: beautiful animations that you worked on pre, like pre you can, like, now you can just prompt it. But back in the day. Yeah. Yeah. Those were handcraft, handcrafted artisanal code.Nader: Yeah. I was actually really proud of that because, uh, it was an, i I made it in Figma.Yeah. And then I found, I was like really struggling to figure out how to turn it from like Figma to react. So what it actually is, is just an SVG and I, I have all the styles and so when you change the chip, whether it's like active or not it changes the SVG code and that somehow like renders like, looks like it's animating, but it, we just had the transition slow, but it's just like the, a JavaScript function to change the like underlying SVG.Yeah. And that was how I ended up like figuring out how to move it from from Figma. But yeah, that's Art Artisan. [00:05:00]Kyle: Speaking of marketing stunts though, he actually used those SVGs. Or kind of use those SVGs to make these cards.Nader: Oh yeah. LikeKyle: a GPU gift card Yes. That he handed out everywhere. That was actually my first impression of thatNader: one.Yeah,swyx: yeah, yeah.Nader: Yeah.swyx: I think I still have one of them.Nader: They look great.Kyle: Yeah.Nader: I have a ton of them still actually in our garage, which just, they don't have labels. We should honestly like bring, bring them back. But, um, I found this old printing press here, actually just around the corner on Ven ness. And it's a third generation San Francisco shop.And so I come in an excited startup founder trying to like, and they just have this crazy old machinery and I'm in awe. ‘cause the the whole building is so physical. Like you're seeing these machines, they have like pedals to like move these saws and whatever. I don't know what this machinery is, but I saw all three generations.Like there's like the grandpa, the father and the son, and the son was like, around my age. Well,swyx: it's like a holy, holy trinity.Nader: It's funny because we, so I just took the same SVG and we just like printed it and it's foil printing, so they make a a, a mold. That's like an inverse of like the A 100 and then they put the foil on it [00:06:00] and then they press it into the paper.And I remember once we got them, he was like, Hey, don't forget about us. You know, I guess like early Apple and Cisco's first business cards were all made there. And so he was like, yeah, we, we get like the startup businesses but then as they mature, they kind of go somewhere else. And so I actually, I think we were talking with marketing about like using them for some, we should go back and make some cards.swyx: Yeah, yeah, yeah. You know, I remember, you know, as a very, very small breadth investor, I was like, why are we spending time like, doing these like stunts for GPUs? Like, you know, I think like as a, you know, typical like cloud hard hardware person, you go into an AWS you pick like T five X xl, whatever, and it's just like from a list and you look at the specs like, why animate this GP?And, and I, I do think like it just shows the level of care that goes throughout birth and Yeah. And now, and also the, and,Nader: and Nvidia. I think that's what the, the thing that struck me most when we first came in was like the amount of passion that everyone has. Like, I think, um, you know, you talk to, you talk to Kyle, you talk to, like, every VP that I've met at Nvidia goes so close to the metal.Like, I remember it was almost a year ago, and like my VP asked me, he's like, Hey, [00:07:00] what's cursor? And like, are you using it? And if so, why? Surprised at this, and he downloaded Cursor and he was asking me to help him like, use it. And I thought that was, uh, or like, just show him what he, you know, why we were using it.And so, the amount of care that I think everyone has and the passion, appreciate, passion and appreciation for the moment. Right. This is a very unique time. So it's really cool to see everyone really like, uh, appreciate that.swyx: Yeah.Acquisition and DevEx Shiftswyx: One thing I wanted to do before we move over to sort of like research topics and, uh, the, the stuff that Kyle's working on is just tell the story of the acquisition, right?Like, not many people have been, been through an acquisition with Nvidia. What's it like? Uh, what, yeah, just anything you'd like to say.Nader: It's a crazy experience. I think, uh, you know, we were the thing that was the most exciting for us was. Our goal was just to make it easier for developers.We wanted to find access to GPUs, make it easier to do that. And then all, oh, actually your question about launchable. So launchable was just make one click exper, like one click deploys for any software on top of the GPU. Mm-hmm. And so what we really liked about Nvidia was that it felt like we just got a lot more resources to do all of that.I think, uh, you [00:08:00] know, NVIDIA's goal is to make things as easy for developers as possible. So there was a really nice like synergy there. I think that, you know, when it comes to like an acquisition, I think the amount that the soul of the products align, I think is gonna be. Is going speak to the success of the acquisition.Yeah. And so it in many ways feels like we're home. This is a really great outcome for us. Like we you know, I love brev.nvidia.com. Like you should, you should use it's, it's theKyle: front page for GPUs.Nader: Yeah. Yeah. If you want GP views,Kyle: you go there, getswyx: it there, and it's like internally is growing very quickly.I, I don't remember You said some stats there.Nader: Yeah, yeah, yeah. It's, uh, I, I wish I had the exact numbers, but like internally, externally, it's been growing really quickly. We've been working with a bunch of partners with a bunch of different customers and ISVs, if you have a solution that you want someone that runs on the GPU and you want people to use it quickly, we can bundle it up, uh, in a launchable and make it a one click run.If you're doing things and you want just like a sandbox or something to run on, right. Like open claw. Huge moment. Super exciting. Our, uh, and we'll talk into it more, but. You know, internally, people wanna run this, and you, we know we have to be really careful from the security implications. Do we let this run on the corporate network?Security's guidance was, Hey, [00:09:00] run this on breath, it's in, you know, it's, it's, it's a vm, it's sitting in the cloud, it's off the corporate network. It's isolated. And so that's been our stance internally and externally about how to even run something like open call while we figure out how to run these things securely.But yeah,swyx: I think there's also like, you almost like we're the right team at the right time when Nvidia is starting to invest a lot more in developer experience or whatever you call it. Yeah. Uh, UX or I don't know what you call it, like software. Like obviously NVIDIA is always invested in software, but like, there's like, this is like a different audience.Yeah. It's aNader: widerKyle: developer base.swyx: Yeah. Right.Nader: Yeah. Yeah. You know, it's funny, it's like, it's not, uh,swyx: so like, what, what is it called internally? What, what is this that people should be aware that is going on there?Nader: Uh, what, like developer experienceswyx: or, yeah, yeah. Is it's called just developer experience or is there like a broader strategy hereNader: in Nvidia?Um, Nvidia always wants to make a good developer experience. The thing is and a lot of the technology is just really complicated. Like, it's not, it's uh, you know, I think, um. The thing that's been really growing or the AI's growing is having a huge moment, not [00:10:00] because like, let's say data scientists in 2018, were quiet then and are much louder now.The pie is com, right? There's a whole bunch of new audiences. My mom's wondering what she's doing. My sister's learned, like taught herself how to code. Like the, um, you know, I, I actually think just generally AI's a big equalizer and you're seeing a more like technologically literate society, I guess.Like everyone's, everyone's learning how to code. Uh, there isn't really an excuse for that. And so building a good UX means that you really understand who your end user is. And when your end user becomes such a wide, uh, variety of people, then you have to almost like reinvent the practice, right? Yeah. You haveKyle: to, and actually build more developer ux, right?Because the, there are tiers of developer base that were added. You know, the, the hackers that are building on top of open claw, right? For example, have never used gpu. They don't know what kuda is. They, they, they just want to run something.Nader: Yeah.Kyle: You need new UX that is not just. Hey, you know, how do you program something in Cuda and run it?And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like [00:11:00] layers that are added to that developer stack has just exploded because AI has become ubiquitous. Everyone's using it in different ways. Yeah. It'sNader: moving fast in every direction.Vertical, horizontal.Vibhu: Yeah. You guys, you even take it down to hardware, like the DGX Spark, you know, it's, it's basically the same system as just throwing it up on big GPU cluster.Nader: Yeah, yeah, yeah. It's amazing. Blackwell.swyx: Yeah. Uh, we saw the preview at the last year's GTC and that was one of the better performing, uh, videos so far, and video coverage so far.Awesome. This will beat it. Um,Nader: that wasswyx: actually, we have fingersNader: crossed. Yeah.DGX Spark and Remote AccessNader: Even when Grace Blackwell or when, um, uh, DGX Spark was first coming out getting to be involved in that from the beginning of the developer experience. And it just comes back to what youswyx: were involved.Nader: Yeah. St. St.swyx: Mars.Nader: Yeah. Yeah. I mean from, it was just like, I, I got an email, we just got thrown into the loop and suddenly yeah, I, it was actually really funny ‘cause I'm still pretty fresh from the acquisition and I'm, I'm getting an email from a bunch of the engineering VPs about like, the new hardware, GPU chip, like we're, or not chip, but just GPU system that we're putting out.And I'm like, okay, cool. Matters. Now involved with this for the ux, I'm like. What am I gonna do [00:12:00] here? So, I remember the first meeting, I was just like kind of quiet as I was hearing engineering VPs talk about what this box could be, what it could do, how we should use it. And I remember, uh, one of the first ideas that people were idea was like, oh, the first thing that it was like, I think a quote was like, the first thing someone's gonna wanna do with this is get two of them and run a Kubernetes cluster on top of them.And I was like, oh, I think I know why I'm here. I was like, the first thing we're doing is easy. SSH into the machine. And then, and you know, just kind of like scoping it down of like, once you can do that every, you, like the person who wants to run a Kubernetes cluster onto Sparks has a higher propensity for pain, then, then you know someone who buys it and wants to run open Claw right now, right?If you can make sure that that's as effortless as possible, then the rest becomes easy. So there's a tool called Nvidia Sync. It just makes the SSH connection really simple. So, you know, if you think about it like. If you have a Mac, uh, or a PC or whatever, if you have a laptop and you buy this GPU and you want to use it, you should be able to use it like it's A-A-G-P-U in the cloud, right?Um, but there's all this friction of like, how do you actually get into that? That's part of [00:13:00] Revs value proposition is just, you know, there's a CLI that wraps SSH and makes it simple. And so our goal is just get you into that machine really easily. And one thing we just launched at CES, it's in, it's still in like early access.We're ironing out some kinks, but it should be ready by GTC. You can register your spark on Brev. And so now if youswyx: like remote managed yeah, local hardware. Single pane of glass. Yeah. Yeah. Because Brev can already manage other clouds anyway, right?Vibhu: Yeah, yeah. And you use the spark on Brev as well, right?Nader: Yeah. But yeah, exactly. So, so you, you, so you, you set it up at home you can run the command on it, and then it gets it's essentially it'll appear in your Brev account, and then you can take your laptop to a Starbucks or to a cafe, and you'll continue to use your, you can continue use your spark just like any other cloud node on Brev.Yeah. Yeah. And it's just like a pre-provisioned centerswyx: in yourNader: home. Yeah, exactly.swyx: Yeah. Yeah.Vibhu: Tiny little data center.Nader: Tiny little, the size ofVibhu: your phone.SOL Culture and Dynamo Setupswyx: One more thing before we move on to Kyle. Just have so many Jensen stories and I just love, love mining Jensen stories. Uh, my favorite so far is SOL. Uh, what is, yeah, what is S-O-L-S-O-LNader: is actually, i, I think [00:14:00] of all the lessons I've learned, that one's definitely my favorite.Kyle: It'll always stick with you.Nader: Yeah. Yeah. I, you know, in your startup, everything's existential, right? Like we've, we've run out of money. We were like, on the risk of, of losing payroll, we've had to contract our team because we l ran outta money. And so like, um, because of that you're really always forcing yourself to I to like understand the root cause of everything.If you get a date, if you get a timeline, you know exactly why that date or timeline is there. You're, you're pushing every boundary and like, you're not just say, you're not just accepting like a, a no. Just because. And so as you start to introduce more layers, as you start to become a much larger organization, SOL is is essentially like what is the physics, right?The speed of light moves at a certain speed. So if flight's moving some slower, then you know something's in the way. So before trying to like layer reality back in of like, why can't this be delivered at some date? Let's just understand the physics. What is the theoretical limit to like, uh, how fast this can go?And then start to tell me why. ‘cause otherwise people will start telling you why something can't be done. But actually I think any great leader's goal is just to create urgency. Yeah. [00:15:00] There's an infiniteKyle: create compelling events, right?Nader: Yeah.Kyle: Yeah. So l is a term video is used to instigate a compelling event.You say this is done. How do we get there? What is the minimum? As much as necessary, as little as possible thing that it takes for us to get exactly here and. It helps you just break through a bunch of noise.swyx: Yeah.Kyle: Instantly.swyx: One thing I'm unclear about is, can only Jensen use the SOL card? Like, oh, no, no, no.Not everyone get the b******t out because obviously it's Jensen, but like, can someone else be like, no, likeKyle: frontline engineers use it.Nader: Yeah. Every, I think it's not so much about like, get the b******t out. It's like, it's like, give me the root understanding, right? Like, if you tell me something takes three weeks, it like, well, what's the first principles?Yeah, the first principles. It's like, what's the, what? Like why is it three weeks? What is the actual yeah. What's the actual limit of why this is gonna take three weeks? If you're gonna, if you, if let's say you wanted to buy a new computer and someone told you it's gonna be here in five days, what's the SOL?Well, like the SOL is like, I could walk into a Best Buy and pick it up for you. Right? So then anything that's like beyond that is, and is that practical? Is that how we're gonna, you know, let's say give everyone in the [00:16:00] company a laptop, like obviously not. So then like that's the SOL and then it's like, okay, well if we have to get more than 10, suddenly there might be some, right?And so now we can kind of piece the reality back.swyx: So, so this is the. Paul Graham do things that don't scale. Yeah. And this is also the, what people would now call behi agency. Yeah.Kyle: It's actually really interesting because there's a, there's a second hardware angle to SOL that like doesn't come up for all the org sol is used like culturally at aswyx: media for everything.I'm also mining for like, I think that can be annoying sometimes. And like someone keeps going IOO you and you're like, guys, like we have to be stable. We have to, we to f*****g plan. Yeah.Kyle: It's an interesting balance.Nader: Yeah. I encounter that with like, actually just with, with Alec, right? ‘cause we, we have a new conference so we need to launch, we have, we have goals of what we wanna launch by, uh, by the conference and like, yeah.At the end of the day, where isswyx: this GTC?Nader: Um, well this is like, so we, I mean we did it for CES, we did for GT CDC before that we're doing it for GTC San Jose. So I mean, like every, you know, we have a new moment. Um, and we want to launch something. Yeah. And we want to do so at SOL and that does mean that some, there's some level of prioritization that needs [00:17:00] to happen.And so it, it is difficult, right? I think, um, you have to be careful with what you're pushing. You know, stability is important and that should be factored into S-O-L-S-O-L isn't just like, build everything and let it break, you know, that, that's part of the conversation. So as you're laying, layering in all the details, one of them might be, Hey, we could build this, but then it's not gonna be stable for X, y, z reasons.And so that was like, one of our conversations for CES was, you know, hey, like we, we can get this into early access registering your spark with brev. But there are a lot of things that we need to do in order to feel really comfortable from a security perspective, right? There's a lot of networking involved before we deliver that to users.So it's like, okay. Let's get this to a point where we can at least let people experiment with it. We had it in a booth, we had it in Jensen's keynote, and then let's go iron out all the networking kinks. And that's not easy. And so, uh, that can come later. And so that was the way that we layered that back in.Yeah. ButKyle: It's not really about saying like, you don't have to do the, the maintenance or operational work. It's more about saying, you know, it's kind of like [00:18:00] highlights how progress is incremental, right? Like, what is the minimum thing that we can get to. And then there's SOL for like every component after that.But there's the SOL to get you, get you to the, the starting line. And that, that's usually how it's asked. Yeah. On the other side, you know, like SOL came out of like hardware at Nvidia. Right. So SOL is like literally if we ran the accelerator or the GPU with like at basically full speed with like no other constraints, like how FAST would be able to make a program go.swyx: Yeah. Yeah. Right.Kyle: Soswyx: in, in training that like, you know, then you work back to like some percentage of like MFU for example.Kyle: Yeah, that's a, that's a great example. So like, there's an, there's an S-O-L-M-F-U, and then there's like, you know, what's practically achievable.swyx: Cool. Should we move on to sort of, uh, Kyle's side?Uh, Kyle, you're coming more from the data science world. And, uh, I, I mean I always, whenever, whenever I meet someone who's done working in tabular stuff, graph neural networks, time series, these are basically when I go to new reps, I go to ICML, I walk the back halls. There's always like a small group of graph people.Yes. Absolute small group of tabular people. [00:19:00] And like, there's no one there. And like, it's very like, you know what I mean? Like, yeah, no, like it's, it's important interesting work if you care about solving the problems that they solve.Kyle: Yeah.swyx: But everyone else is just LMS all the time.Kyle: Yeah. I mean it's like, it's like the black hole, right?Has the event horizon reached this yet in nerves? Um,swyx: but like, you know, those are, those are transformers too. Yeah. And, and those are also like interesting things. Anyway, uh, I just wanted to spend a little bit of time on, on those, that background before we go into Dynamo, uh, proper.Kyle: Yeah, sure. I took a different path to Nvidia than that, or I joined six years ago, seven, if you count, when I was an intern.So I joined Nvidia, like right outta college. And the first thing I jumped into was not what I'd done in, during internship, which was like, you know, like some stuff for autonomous vehicles, like heavyweight object detection. I jumped into like, you know, something, I'm like, recommenders, this is popular. Andswyx: yeah, he did RexiKyle: as well.Yeah, Rexi. Yeah. I mean that, that was the taboo data at the time, right? You have tables of like, audience qualities and item qualities, and you're trying to figure out like which member of [00:20:00] the audience matches which item or, or more practically which item matches which member of the audience. And at the time, really it was like we were trying to enable.Uh, recommender, which had historically been like a little bit of a CP based workflow into something that like, ran really well in GPUs. And it's since been done. Like there are a bunch of libraries for Axis that run on GPUs. Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.But it was very interesting at the time and super, super relevant because like we were starting to get like. This explosion of feeds and things that required rec recommenders to just actively be on all the time. And sort of transitioned that a little bit towards graph neural networks when I discovered them because I was like, okay, you can actually use graphical neural networks to represent like, relationships between people, items, concepts, and that, that interested me.So I jumped into that at [00:21:00] Nvidia and, and got really involved for like two-ish years.swyx: Yeah. Uh, and something I learned from Brian Zaro Yeah. Is that you can just kind of choose your own path in Nvidia.Kyle: Oh my God. Yeah.swyx: Which is not a normal big Corp thing. Yeah. Like you, you have a lane, you stay in your lane.Nader: I think probably the reason why I enjoy being in a, a big company, the mission is the boss probably from a startup guy. Yeah. The missionswyx: is the boss.Nader: Yeah. Uh, it feels like a big game of pickup basketball. Like, you know, if you play one, if you wanna play basketball, you just go up to the court and you're like, Hey look, we're gonna play this game and we need three.Yeah. And you just like find your three. That's honestly for every new initiative that's what it feels like. Yeah.Vibhu: It also like shows, right? Like Nvidia. Just releasing state-of-the-art stuff in every domain. Yeah. Like, okay, you expect foundation models with Nemo tron voice just randomly parakeet.Call parakeet just comes out another one, uh, voice. TheKyle: video voice team has always been producing.Vibhu: Yeah. There's always just every other domain of paper that comes out, dataset that comes out. It's like, I mean, it also stems back to what Nvidia has to do, right? You have to make chips years before they're actually produced.Right? So you need to know, you need to really [00:22:00] focus. TheKyle: design process starts likeVibhu: exactlyKyle: three to five years before the chip gets to the market.Vibhu: Yeah. I, I'm curious more about what that's like, right? So like, you have specialist teams. Is it just like, you know, people find an interest, you go in, you go deep on whatever, and that kind of feeds back into, you know, okay, we, we expect predictions.Like the internals at Nvidia must be crazy. Right? You know? Yeah. Yeah. You know, you, you must. Not even without selling to people, you have your own predictions of where things are going. Yeah. And they're very based, very grounded. Right?Kyle: Yeah. It, it, it's really interesting. So there's like two things that I think that Amed does, which are quite interesting.Uh, one is like, we really index into passion. There's a big. Sort of organizational top sound push to like ensure that people are working on the things that they're passionate about. So if someone proposes something that's interesting, many times they can just email someone like way up the chain that they would find this relevant and say like, Hey, can I go work on this?Nader: It's actually like I worked at a, a big company for a couple years before, uh, starting on my startup journey and like, it felt very weird if you were to like email out of chain, if that makes [00:23:00] sense. Yeah. The emails at Nvidia are like mosh pitsswyx: shoot,Nader: and it's just like 60 people, just whatever. And like they're, there's this,swyx: they got messy like, reply all you,Nader: oh, it's in, it's insane.It's insane. They justKyle: help. You know, Maxim,Nader: the context. But, but that's actually like, I've actually, so this is a weird thing where I used to be like, why would we send emails? We have Slack. I am the entire, I'm the exact opposite. I feel so bad for anyone who's like messaging me on Slack ‘cause I'm so unresponsive.swyx: Your emailNader: Maxi, email Maxim. I'm email maxing Now email is a different, email is perfect because man, we can't work together. I'm email is great, right? Because important threads get bumped back up, right? Yeah, yeah. Um, and so Slack doesn't do that. So I just have like this casino going off on the right or on the left and like, I don't know which thread was from where or what, but like the threads get And then also just like the subject, so you can have like working threads.I think what's difficult is like when you're small, if you're just not 40,000 people I think Slack will work fine, but there's, I don't know what the inflection point is. There is gonna be a point where that becomes really messy and you'll actually prefer having email. ‘cause you can have working threads.You can cc more than nine people in a thread.Kyle: You can fork stuff.Nader: You can [00:24:00] fork stuff, which is super nice and just like y Yeah. And so, but that is part of where you can propose a plan. You can also just. Start, honestly, momentum's the only authority, right? So like, if you can just start, start to make a little bit of progress and show someone something, and then they can try it.That's, I think what's been, you know, I think the most effective way to push anything for forward. And that's both at Nvidia and I think just generally.Kyle: Yeah, there's, there's the other concept that like is explored a lot at Nvidia, which is this idea of a zero billion dollar business. Like market creation is a big thing at Nvidia.Like,swyx: oh, you want to go and start a zero billion dollar business?Kyle: Jensen says, we are completely happy investing in zero billion dollar markets. We don't care if this creates revenue. It's important for us to know about this market. We think it will be important in the future. It can be zero billion dollars for a while.I'm probably minging as words here for, but like, you know, like, I'll give an example. NVIDIA's been working on autonomous driving for a a long time,swyx: like an Nvidia car.Kyle: No, they, they'veVibhu: used the Mercedes, right? They're around the HQ and I think it finally just got licensed out. Now they're starting to be used quite a [00:25:00] bit.For 10 years you've been seeing Mercedes with Nvidia logos driving.Kyle: If you're in like the South San Santa Clara, it's, it's actually from South. Yeah. So, um. Zero billion dollar markets are, are a thing like, you know, Jensen,swyx: I mean, okay, look, cars are not a zero billion dollar market. But yeah, that's a bad example.Nader: I think, I think he's, he's messaging, uh, zero today, but, or even like internally, right? Like, like it's like, uh, an org doesn't have to ruthlessly find revenue very quickly to justify their existence. Right. Like a lot of the important research, a lot of the important technology being developed that, that's kind ofKyle: where research, research is very ide ideologically free at Nvidia.Yeah. Like they can pursue things that they wereswyx: Were you research officially?Kyle: I was never in research. Officially. I was always in engineering. Yeah. We in, I'm in an org called Deep Warning Algorithms, which is basically just how do we make things that are relevant to deep warning go fast.swyx: That sounds freaking cool.Vibhu: And I think a lot of that is underappreciated, right? Like time series. This week Google put out time. FF paper. Yeah. A new time series, paper res. Uh, Symantec, ID [00:26:00] started applying Transformers LMS to Yes. Rec system. Yes. And when you think the scale of companies deploying these right. Amazon recommendations, Google web search, it's like, it's huge scale andKyle: Yeah.Vibhu: You want fast?Kyle: Yeah. Yeah. Yeah. Actually it's, it, I, there's a fun moment that brought me like full circle. Like, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was like super, like weirdly cathartic for me. I'm like, oh my God. I've, I've supplanted what I was working on.Like, I, you're using LMS now to do what I was doing five years ago.swyx: Yeah. Amazing. And let's go right into Dynamo. Uh, maybe introduce Yeah, sure. To the top down and Yeah.Kyle: I think at this point a lot of people are familiar with the term of inference. Like funnily enough, like I went from, you know, inference being like a really niche topic to being something that's like discussed on like normal people's Twitter feeds.It's,Nader: it's on billboardsKyle: here now. Yeah. Very, very strange. Driving, driving, seeing just an inference ad on 1 0 1 inference at scale is becoming a lot more important. Uh, we have these moments like, you know, open claw where you have these [00:27:00] agents that take lots and lots of tokens, but produce, incredible results.There are many different aspects of test time scaling so that, you know, you can use more inference to generate a better result than if you were to use like a short amount of inference. There's reasoning, there's quiring, there's, adding agency to the model, allowing it to call tools and use skills.Dyno sort came about at Nvidia. Because myself and a couple others were, were sort of talking about the, these concepts that like, you know, you have inference engines like VLMS, shelan, tenor, TLM and they have like one single copy. They, they, they sort of think about like things as like one single copy, like one replica, right?Why Scale Out WinsKyle: Like one version of the model. But when you're actually serving things at scale, you can't just scale up that replica because you end up with like performance problems. There's a scaling limit to scaling up replicas. So you actually have to scale out to use a, maybe some Kubernetes type terminology.We kind of realized that there was like. A lot of potential optimization that we could do in scaling out and building systems for data [00:28:00] center scale inference. So Dynamo is this data center scale inference engine that sits on top of the frameworks like VLM Shilling and 10 T lm and just makes things go faster because you can leverage the economy of scale.The fact that you have KV cash, which we can define a little bit later, uh, in all these machines that is like unique and you wanna figure out like the ways to maximize your cash hits or you want to employ new techniques in inference like disaggregation, which Dynamo had introduced to the world in, in, in March, not introduced, it was a academic talk, but beforehand.But we are, you know, one of the first frameworks to start, supporting it. And we wanna like, sort of combine all these techniques into sort of a modular framework that allows you to. Accelerate your inference at scale.Nader: By the way, Kyle and I became friends on my first date, Nvidia, and I always loved, ‘cause like he always teaches meswyx: new things.Yeah. By the way, this is why I wanted to put two of you together. I was like, yeah, this is, this is gonna beKyle: good. It's very, it's very different, you know, like we've, we, we've, we've talked to each other a bunch [00:29:00] actually, you asked like, why, why can't we scale up?Nader: Yeah.Scale Up Limits ExplainedNader: model, you said model replicas.Kyle: Yeah. So you, so scale up means assigning moreswyx: heavier?Kyle: Yeah, heavier. Like making things heavier. Yeah, adding more GPUs. Adding more CPUs. Scale out is just like having a barrier saying, I'm gonna duplicate my representation of the model or a representation of this microservice or something, and I'm gonna like, replicate it Many times.Handle, load. And the reason that you can't scale, scale up, uh, past some points is like, you know, there, there, there are sort of hardware bounds and algorithmic bounds on, on that type of scaling. So I'll give you a good example that's like very trivial. Let's say you're on an H 100. The Maxim ENV link domain for H 100, for most Ds H one hundreds is heus, right?So if you scaled up past that, you're gonna have to figure out ways to handle the fact that now for the GPUs to communicate, you have to do it over Infin band, which is still very fast, but is not as fast as ENV link.swyx: Is it like one order of magnitude, like hundreds or,Kyle: it's about an order of magnitude?Yeah. Okay. Um, soswyx: not terrible.Kyle: [00:30:00] Yeah. I, I need to, I need to remember the, the data sheet here, like, I think it's like about 500 gigabytes. Uh, a second unidirectional for ENV link, and about 50 gigabytes a second unidirectional for Infin Band. I, it, it depends on the, the generation.swyx: I just wanna set this up for people who are not familiar with these kinds of like layers and the trash speedVibhu: and all that.Of course.From Laptop to Multi NodeVibhu: Also, maybe even just going like a few steps back before that, like most people are very familiar with. You see a, you know, you can use on your laptop, whatever these steel viol, lm you can just run inference there. All, there's all, you can, youcan run it on thatVibhu: laptop. You can run on laptop.Then you get to, okay, uh, models got pretty big, right? JLM five, they doubled the size, so mm-hmm. Uh, what do you do when you have to go from, okay, I can get 128 gigs of memory. I can run it on a spark. Then you have to go multi GPU. Yeah. Okay. Multi GPU, there's some support there. Now, if I'm a company and I don't have like.I'm not hiring the best researchers for this. Right. But I need to go [00:31:00] multi-node, right? I have a lot of servers. Okay, now there's efficiency problems, right? You can have multiple eight H 100 nodes, but, you know, is that as a, like, how do you do that efficiently?Kyle: Yeah. How do you like represent them? How do you choose how to represent the model?Yeah, exactly right. That's a, that's like a hard question. Everyone asks, how do you size oh, I wanna run GLM five, which just came out new model. There have been like four of them in the past week, by the way, like a bunch of new models.swyx: You know why? Right? Deep seek.Kyle: No comment. Oh. Yeah, but Ggl, LM five, right?We, we have this, new model. It's, it's like a large size, and you have to figure out how to both scale up and scale out, right? Because you have to find the right representation that you care about. Everyone does this differently. Let's be very clear. Everyone figures this out in their own path.Nader: I feel like a lot of AI or ML even is like, is like this. I think people think, you know, I, I was, there was some tweet a few months ago that was like, why hasn't fine tuning as a service taken off? You know, that might be me. It might have been you. Yeah. But people want it to be such an easy recipe to follow.But even like if you look at an ML model and specificKyle: to you Yeah,Nader: yeah.Kyle: And the [00:32:00] model,Nader: the situation, and there's just so much tinkering, right? Like when you see a model that has however many experts in the ME model, it's like, why that many experts? I don't, they, you know, they tried a bunch of things and that one seemed to do better.I think when it comes to how you're serving inference, you know, you have a bunch of decisions to make and there you can always argue that you can take something and make it more optimal. But I think it's this internal calibration and appetite for continued calibration.Vibhu: Yeah. And that doesn't mean like, you know, people aren't taking a shot at this, like tinker from thinking machines, you know?Yeah. RL as a service. Yeah, totally. It's, it also gets even harder when you try to do big model training, right? We're not the best at training Moes, uh, when they're pre-trained. Like we saw this with LAMA three, right? They're trained in such a sparse way that meta knows there's gonna be a bunch of inference done on these, right?They'll open source it, but it's very trained for what meta infrastructure wants, right? They wanna, they wanna inference it a lot. Now the question to basically think about is, okay, say you wanna serve a chat application, a coding copilot, right? You're doing a layer of rl, you're serving a model for X amount of people.Is it a chat model, a coding model? Dynamo, you know, back to that,Kyle: it's [00:33:00] like, yeah, sorry. So you we, we sort of like jumped off of, you know, jumped, uh, on that topic. Everyone has like, their own, own journey.Cost Quality Latency TradeoffsKyle: And I, I like to think of it as defined by like, what is the model you need? What is the accuracy you need?Actually I talked to NA about this earlier. There's three axes you care about. What is the quality that you're able to produce? So like, are you accurate enough or can you complete the task with enough, performance, high enough performance. Yeah, yeah. Uh, there's cost. Can you serve the model or serve your workflow?Because it's not just the model anymore, it's the workflow. It's the multi turn with an agent cheaply enough. And then can you serve it fast enough? And we're seeing all three of these, like, play out, like we saw, we saw new models from OpenAI that you know, are faster. You have like these new fast versions of models.You can change the amount of thinking to change the amount of quality, right? Produce more tokens, but at a higher cost in a, in a higher latency. And really like when you start this journey of like trying to figure out how you wanna host a model, you, you, you think about three things. What is the model I need to serve?How many times do I need to call it? What is the input sequence link was [00:34:00] the, what does the workflow look like on top of it? What is the SLA, what is the latency SLA that I need to achieve? Because there's usually some, this is usually like a constant, you, you know, the SLA that you need to hit and then like you try and find the lowest cost version that hits all of these constraints.Usually, you know, you, you start with those things and you say you, you kind of do like a bit of experimentation across some common configurations. You change the tensor parallel size, which is a form of parallelismVibhu: I take, it goes even deeper first. Gotta think what model.Kyle: Yes, course,ofKyle: course. It's like, it's like a multi-step design process because as you said, you can, you can choose a smaller model and then do more test time scaling and it'll equate the quality of a larger model because you're doing the test time scaling or you're adding a harness or something.So yes, it, it goes way deeper than that. But from the performance perspective, like once you get to the model you need, you need to host, you look at that and you say, Hey. I have this model, I need to serve it at the speed. What is the right configuration for that?Nader: You guys see the recent, uh, there was a paper I just saw like a few days ago that, uh, if you run [00:35:00] the same prompt twice, you're getting like double Just try itagain.Nader: Yeah, exactly.Vibhu: And you get a lot. Yeah. But the, the key thing there is you give the context of the failed try, right? Yeah. So it takes a shot. And this has been like, you know, basic guidance for quite a while. Just try again. ‘cause you know, trying, just try again. Did you try again? All adviceNader: in life.Vibhu: Just, it's a paper from Google, if I'm not mistaken, right?Yeah,Vibhu: yeah. I think it, it's like a seven bas little short paper. Yeah. Yeah. The title's very cute. And it's just like, yeah, just try again. Give it ask context,Kyle: multi-shot. You just like, say like, hey, like, you know, like take, take a little bit more, take a little bit more information, try and fail. Fail.Vibhu: And that basic concept has gone pretty deep.There's like, um, self distillation, rl where you, you do self distillation, you do rl and you have past failure and you know, that gives some signal so people take, try it again. Not strong enough.swyx: Uh, for, for listeners, uh, who listen to here, uh, vivo actually, and I, and we run a second YouTube channel for our paper club where, oh, that's awesome.Vivo just covered this. Yeah. Awesome. Self desolation and all that's, that's why he, to speed [00:36:00] on it.Nader: I'll to check it out.swyx: Yeah. It, it's just a good practice, like everyone needs, like a paper club where like you just read papers together and the social pressure just kind of forces you to just,Nader: we, we,there'sNader: like a big inference.Kyle: ReadingNader: group at a video. I feel so bad every time. I I, he put it on like, on our, he shared it.swyx: One, one ofNader: your guys,swyx: uh, is, is big in that, I forget es han Yeah, yeah,Kyle: es Han's on my team. Actually. Funny. There's a, there's a, there's a employee transfer between us. Han worked for Nater at Brev, and now he, he's on my team.He wasNader: our head of ai. And then, yeah, once we got in, andswyx: because I'm always looking for like, okay, can, can I start at another podcast that only does that thing? Yeah. And, uh, Esan was like, I was trying to like nudge Esan into like, is there something here? I mean, I don't think there's, there's new infant techniques every day.So it's like, it's likeKyle: you would, you would actually be surprised, um, the amount of blog posts you see. And ifswyx: there's a period where it was like, Medusa hydra, what Eagle, like, youKyle: know, now we have new forms of decode, uh, we have new forms of specula, of decoding or new,swyx: what,Kyle: what are youVibhu: excited? And it's exciting when you guys put out something like Tron.‘cause I remember the paper on this Tron three, [00:37:00] uh, the amount of like post train, the on tokens that the GPU rich can just train on. And it, it was a hybrid state space model, right? Yeah.Kyle: It's co-designed for the hardware.Vibhu: Yeah, go design for the hardware. And one of the things was always, you know, the state space models don't scale as well when you do a conversion or whatever the performance.And you guys are like, no, just keep draining. And Nitron shows a lot of that. Yeah.Nader: Also, something cool about Nitron it was released in layers, if you will, very similar to Dynamo. It's, it's, it's essentially it was released as you can, the pre-training, post-training data sets are released. Yeah. The recipes on how to do it are released.The model itself is released. It's full model. You just benefit from us turning on the GPUs. But there are companies like, uh, ServiceNow took the dataset and they trained their own model and we were super excited and like, you know, celebrated that work.ZoomVibhu: different. Zoom is, zoom is CGI, I think, uh, you know, also just to add like a lot of models don't put out based models and if there's that, why is fine tuning not taken off?You know, you can do your own training. Yeah,Kyle: sure.Vibhu: You guys put out based model, I think you put out everything.Nader: I believe I know [00:38:00]swyx: about base. BasicallyVibhu: without baseswyx: basic can be cancelable.Vibhu: Yeah. Base can be cancelable.swyx: Yeah.Vibhu: Safety training.swyx: Did we get a full picture of dymo? I, I don't know if we, what,Nader: what I'd love is you, you mentioned the three axes like break it down of like, you know, what's prefilled decode and like what are the optimizations that we can get with Dynamo?Kyle: Yeah. That, that's, that's, that's a great point. So to summarize on that three axis problem, right, there are three things that determine whether or not something can be done with inference, cost, quality, latency, right? Dynamo is supposed to be there to provide you like the runtime that allows you to pull levers to, you know, mix it up and move around the parade of frontier or the preto surface that determines is this actually possible with inference And AI todayNader: gives you the knobs.Kyle: Yeah, exactly. It gives you the knobs.Disaggregation Prefill vs DecodeKyle: Uh, and one thing that like we, we use a lot in contemporary inference and is, you know, starting to like pick up from, you know, in, in general knowledge is this co concept of disaggregation. So historically. Models would be hosted with a single inference engine. And that inference engine [00:39:00] would ping pong between two phases.There's prefill where you're reading the sequence generating KV cache, which is basically just a set of vectors that represent the sequence. And then using that KV cache to generate new tokens, which is called Decode. And some brilliant researchers across multiple different papers essentially made the realization that if you separate these two phases, you actually gain some benefits.Those benefits are basically a you don't have to worry about step synchronous scheduling. So the way that an inference engine works is you do one step and then you finish it, and then you schedule, you start scheduling the next step there. It's not like fully asynchronous. And the problem with that is you would have, uh, essentially pre-fill and decode are, are actually very different in terms of both their resource requirements and their sometimes their runtime.So you would have like prefill that would like block decode steps because you, you'd still be pre-filing and you couldn't schedule because you know the step has to end. So you remove that scheduling issue and then you also allow you, or you yourself, to like [00:40:00] split the work into two different ki types of pools.So pre-fill typically, and, and this changes as, as model architecture changes. Pre-fill is, right now, compute bound most of the time with the sequence is sufficiently long. It's compute bound. On the decode side because you're doing a full Passover, all the weights and the entire sequence, every time you do a decode step and you're, you don't have the quadratic computation of KV cache, it's usually memory bound because you're retrieving a linear amount of memory and you're doing a linear amount of compute as opposed to prefill where you retrieve a linear amount of memory and then use a quadratic.You know,Nader: it's funny, someone exo Labs did a really cool demo where for the DGX Spark, which has a lot more compute, you can do the pre the compute hungry prefill on a DG X spark and then do the decode on a, on a Mac. Yeah. And soVibhu: that's faster.Nader: Yeah. Yeah.Kyle: So you could, you can do that. You can do machine strat stratification.Nader: Yeah.Kyle: And like with our future generation generations of hardware, we actually announced, like with Reuben, this [00:41:00] new accelerator that is prefilled specific. It's called Reuben, CPX. SoKubernetes Scaling with GroveNader: I have a question when you do the scale out. Yeah. Is scaling out easier with Dynamo? Because when you need a new node, you can dedicate it to either the Prefill or, uh, decode.Kyle: Yeah. So Dynamo actually has like a, a Kubernetes component in it called Grove that allows you to, to do this like crazy scaling specialization. It has like this hot, it's a representation that, I don't wanna go too deep into Kubernetes here, but there was a previous way that you would like launch multi-node work.Uh, it's called Leader Worker Set. It's in the Kubernetes standard, and Leader worker set is great. It served a lot of people super well for a long period of time. But one of the things that it's struggles with is representing a set of cases where you have a multi-node replica that has a pair, right?You know, prefill and decode, or it's not paired, but it has like a second stage that has a ratio that changes over time. And prefill and decode are like two different things as your workload changes, right? The amount of prefill you'll need to do may change. [00:42:00] The amount of decode that you, you'll need to do might change, right?Like, let's say you start getting like insanely long queries, right? That probably means that your prefill scales like harder because you're hitting these, this quadratic scaling growth.swyx: Yeah.And then for listeners, like prefill will be long input. Decode would be long output, for example, right?Kyle: Yeah. So like decode, decode scale. I mean, decode is funny because the amount of tokens that you produce scales with the output length, but the amount of work that you do per step scales with the amount of tokens in the context.swyx: Yes.Kyle: So both scales with the input and the output.swyx: That's true.Kyle: But on the pre-fold view code side, like if.Suddenly, like the amount of work you're doing on the decode side stays about the same or like scales a little bit, and then the prefilled side like jumps up a lot. You actually don't want that ratio to be the same. You want it to change over time. So Dynamo has a set of components that A, tell you how to scale.It tells you how many prefilled workers and decoded workers you, it thinks you should have, and also provides a scheduling API for Kubernetes that allows you to actually represent and affect this scheduling on, on, on your actual [00:43:00] hardware, on your compute infrastructure.Nader: Not gonna lie. I feel a little embarrassed for being proud of my SVG function earlier.swyx: No, itNader: wasreallyKyle: cute. I, Iswyx: likeNader: it's all,swyx: it's all engineering. It's all engineering. Um, that's where I'mKyle: technical.swyx: One thing I'm, I'm kind of just curious about with all with you see at a systems level, everything going on here. Mm-hmm. And we, you know, we're scaling it up in, in multi, in distributed systems.Context Length and Co Designswyx: Um, I think one thing that's like kind of, of the moment right now is people are asking, is there any SOL sort of upper bounds. In terms of like, let's call, just call it context length for one for of a better word, but you can break it down however you like.Nader: Yeah.swyx: I just think like, well, yeah, I mean, like clearly you can engage in hybrid architectures and throw in some state space models in there.All, all you want, but it looks, still looks very attention heavy.Kyle: Yes. Uh, yeah. Long context is attention heavy. I mean, we have these hybrid models, um,swyx: to take and most, most models like cap out at a million contexts and that's it. Yeah. Like for the last two years has been it.Kyle: Yeah. The model hardware context co-design thing that we're seeing these days is actually super [00:44:00] interesting.It's like my, my passion, like my secret side passion. We see models like Kimmy or G-P-T-O-S-S. I'm use these because I, I know specific things about these models. So Kimmy two comes out, right? And it's an interesting model. It's like, like a deep seek style architecture is MLA. It's basically deep seek, scaled like a little bit differently, um, and obviously trained differently as well.But they, they talked about, why they made the design choices for context. Kimmy has more experts, but fewer attention heads, and I believe a slightly smaller attention, uh, like dimension. But I need to remember, I need to check that. Uh, it doesn't matter. But they discussed this actually at length in a blog post on ji, which is like our pu which is like credit puswyx: Yeah.Kyle: Um, in, in China. Chinese red.swyx: Yeah.Kyle: It's, yeah. So it, it's, it's actually an incredible blog post. Uh, like all the mls people in, in, in that, I've seen that on GPU are like very brilliant, but they, they talk about like the creators of Kimi K two [00:45:00] actually like, talked about it on, on, on there in the blog post.And they say, we, we actually did an experiment, right? Attention scales with the number of heads, obviously. Like if you have 64 heads versus 32 heads, you do half the work of attention. You still scale quadratic, but you do half the work. And they made a, a very specific like. Sort of barter in their system, in their architecture, they basically said, Hey, what if we gave it more experts, so we're gonna use more memory capacity.But we keep the amount of activated experts the same. We increase the expert sparsity, so we have fewer experts act. The ratio to of experts activated to number of experts is smaller, and we decrease the number of attention heads.Vibhu: And kind of for context, what the, what we had been seeing was you make models sparser instead.So no one was really touching heads. You're just having, uh,Kyle: well, they, they did, they implicitly made it sparser.Vibhu: Yeah, yeah. For, for Kimmy. They did,Kyle: yes.Vibhu: They also made it sparser. But basically what we were seeing was people were at the level of, okay, there's a sparsity ratio. You want more total parameters, less active, and that's sparsity.[00:46:00]But what you see from papers, like, the labs like moonshot deep seek, they go to the level of, okay, outside of just number of experts, you can also change how many attention heads and less attention layers. More attention. Layers. Layers, yeah. Yes, yes. So, and that's all basically coming back to, just tied together is like hardware model, co-design, which isKyle: hardware model, co model, context, co-design.Vibhu: Yeah.Kyle: Right. Like if you were training a, a model that was like. Really, really short context, uh, or like really is good at super short context tasks. You may like design it in a way such that like you don't care about attention scaling because it hasn't hit that, like the turning point where like the quadratic curve takes over.Nader: How do you consider attention or context as a separate part of the co-design? Like I would imagine hardware or just how I would've thought of it is like hardware model. Co-design would be hardware model context co-designKyle: because the harness and the context that is produced by the harness is a part of the model.Once it's trained in,Vibhu: like even though towards the end you'll do long context, you're not changing architecture through I see. Training. Yeah.Kyle: I mean you can try.swyx: You're saying [00:47:00] everyone's training the harness into the model.Kyle: I would say to some degree, orswyx: there's co-design for harness. I know there's a small amount, but I feel like not everyone has like gone full send on this.Kyle: I think, I think I think it's important to internalize the harness that you think the model will be running. Running into the model.swyx: Yeah. Interesting. Okay. Bash is like the universal harness,Kyle: right? Like I'll, I'll give. An example here, right? I mean, or just like a, like a, it's easy proof, right? If you can train against a harness and you're using that harness for everything, wouldn't you just train with the harness to ensure that you get the best possible quality out of,swyx: Well, the, uh, I, I can provide a counter argument.Yeah, sure. Which is what you wanna provide a generally useful model for other people to plug into their harnesses, right? So if youKyle: Yeah. Harnesses can be open, open source, right?swyx: Yeah. So I mean, that's, that's effectively what's happening with Codex.Kyle: Yeah.swyx: And, but like you may want like a different search tool and then you may have to name it differently or,Nader: I don't know how much people have pushed on this, but can you.Train a model, would it be, have you have people compared training a model for the for the harness versus [00:48:00] like post training forswyx: I think it's the same thing. It's the same thing. It's okay. Just extra post training. INader: see.swyx: And so, I mean, cognition does this course, it does this where you, you just have to like, if your tool is slightly different, um, either force your tool to be like the tool that they train for.Hmm. Or undo their training for their tool and then Oh, that's re retrain. Yeah. It's, it's really annoying and like,Kyle: I would hope that eventually we hit like a certain level of generality with respect to training newswyx: tools. This is not a GI like, it's, this is a really stupid like. Learn my tool b***h.Like, I don't know if, I don't know if I can say that, but like, you know, um, I think what my point kind of is, is that there's, like, I look at slopes of the scaling laws and like, this slope is not working, man. We, we are at a million token con

Everyone loves the home run. The viral moment. The massive account win. The big splash that makes headlines. But great agencies aren't built on home runs. They're built on base hits.In this episode, Shane and Tonya are joined by University of Kansas senior softball player Emma Tatum talks about the surprising parallels between competitive athletics and building a successful independent insurance agency.They explore why consistency, grit, and doing the small things well often matter more than chasing the big win. If you're tired of chasing the "next big thing" and want to build something sustainable, this episode will change the way you think about growth.Learn more at IntegraPartnerNetwork.com.

US futures are lower, but off their low points, with S&P down ~1.5%, following lower close on Friday, ending not far from worst levels, with major indices posting sharp weekly declines. US dollar is lower against Loonie but higher elsewhere. Bonds lower. Treasury yields higher across the board. Bund up ~3bps to 2.89% while Gilts little changed at 4.57%. Brent crude higher, peaked at $116/bbl; WTI also above $100/bbl. However, both well off earlier highs. Precious metals lower. Base metals mixed. Bitcoin lower. Brent crude forwards surged 18%, WTI up more than 20% in early Monday trading with both blends trading at $110/bl, first time crude prices traded near $100 since start of Covid pandemic. Sharp increase came after Israel attacked Iranian oil facilities, other middle east oil producers said they would curtail output, and as shipments through Strait of Hormuz ground to standstill. Companies Mentioned: KKR&Co., Agilent Technologies, Hims&Her Health

L'Iran a riposté tous azimuts après l'attaque conjointe d'Israël et des Etats-Unis, en visant notamment les pays voisins des Emirats et du Qatar. Dans « La Story », le podcast d'actualité des « Echos », Pierrick Fay évoque la Guerre en Iran avec son invité : Le patron d'Irena group qui aide les entreprises à rapatrier leurs salariés.« La Story » est un podcast des « Echos » présenté par Pierrick Fay. Cet épisode a été enregistré en mars 2026. Rédaction en chef : Clémence Lemaistre. Invité : Vincent Jacquemart (président d'Irena Group). Réalisation : Willy Ganne. Chargée de production et d'édition : Clara Grouzis. Musique : Théo Boulenger. Identité graphique : Upian. Photo : Xinhua/ABACAPRESS.COM. Sons : Compte X Vincent Moscato, BFM TV, RTL. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

The Joint Readiness Training Center is pleased to present the one-hundredth-and-thirty-seventh episode to air on ‘The Crucible - The JRTC Experience.' Hosted by MAJ Marc Howle, the Brigade Senior Engineer / Protection Observer-Coach-Trainer, and MAJ David Pfaltzgraff, BDE Executive Officer OCT, from Brigade Command & Control (BDE HQ) on behalf of the Commander of Ops Group (COG). Today's guests are expert sustainers from across JRTC: MAJ Amy Beatty, the TF Executive Officer for TF Sustainment (DSSB / LSB) and CPT Cody Kindle, the S-4 Sustainment Planner in Plans / Exercise Maneuver Control (TF Zulu).   This episode dives into the importance of base clusters, which are a survivability and sustainment technique used by brigades and battalions to disperse logistics and command elements while maintaining mutual support in a contested battlespace. Instead of concentrating sustainment nodes such as the brigade support area (BSA), field trains, and maintenance sites in a single large footprint, units distribute smaller elements across a wider area in multiple mutually supporting positions connected by terrain, security, and communications. This approach reduces the vulnerability of sustainment assets to long-range fires, UAS surveillance, and precision strike systems that dominate the modern battlefield. By dispersing logistics nodes while maintaining coordination through disciplined reporting, movement control, and security integration, base clusters allow sustainment elements to remain survivable, mobile, and capable of supporting maneuver forces in large-scale combat operations (LSCO).   Part of S13 “Hip Pocket Training” series.   For additional information and insights from this episode, please check-out our Instagram page @the_jrtc_crucible_podcast   Be sure to follow us on social media to keep up with the latest warfighting TTPs learned through the crucible that is the Joint Readiness Training Center.   Follow us by going to: https://linktr.ee/jrtc and then selecting your preferred podcast format.   Again, we'd like to thank our guests for participating. Don't forget to like, subscribe, and review us wherever you listen or watch your podcasts — and be sure to stay tuned for more in the near future.   “The Crucible – The JRTC Experience” is a product of the Joint Readiness Training Center.

In this episode of John Solomon Reports, we dive into a significant ruling from the Supreme Court regarding redistricting, featuring Congresswoman Nicole Malliotakis from New York. She discusses how the court's decision to protect her district from racially motivated redistricting efforts signals a potential shift in the political landscape, which could impact Democratic majorities across the country.Next, we welcome Jonathan Fahey, former director of ICE, who shares his insights on the controversial topic of tax-exempt status for nonprofits that have been accused of promoting anti-ICE violence. This thought-provoking discussion raises important questions about accountability and the role of nonprofits in political discourse.In the third segment, we introduce George Moraitis, a dynamic member of the Florida state legislature running for Congress. With numerous retirements in the U.S. House this year, Moraitis is poised to make a significant impact, and he shares his vision and goals with our audience.Additionally, we cover breaking news about a federal jury convicting a man for attempting to assassinate President Trump, revealing connections to Iranian handlers. The episode also touches on the latest updates from the Justice Department regarding the Epstein case and President Trump's impressive favorability ratings among his supporters.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Cryptic and chilling messages from Israel as a massive fireball is seen in Tel Aviv in what appears to be a direct hit. This as Iran claims to have launched cluster munitions at Israel and President Trump now claims Iran is ready to talk.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Mariners Insider Shannon Drayer joins the show to talk about how much stock you should put into Cole Young’s early struggles, how you gauge the Mariners starters progress as spring training goes on, how Jose Ferrer is adjusting to his new team, her thoughts on Arozarena’s performance last year, the buzz around Kade Anderson, Ryan Sloan, and Colt Emerson, and her level of concern with the Bryce Miller’s injury. // Wyman & Bob give their Seahawk free agent that would be the toughest to bring back for 2026 whether that be due to money, team chemistry, or lack of other options in the draft and trade market. // What We Learned 

Wikipedia JavaScript Worm, ICE Contractor Data Leak Claim, and Leak Base Takedown Wikipedia admins contained a self-propagating JavaScript worm that spread via infected user script files, executing in logged-in editors' browsers and using authenticated sessions to copy itself into other scripts, sometimes affecting global scripts; administrators restricted edits, reverted and suppressed changes, replaced compromised scripts, and continue investigating the originating account.  A hacktivist group calling itself the Department of Peace claims it leaked records tied to DHS's Office of Industry Partnership involving 6,681 organizations that applied for ICE-related contracts, releasing the dataset via Distributed Denial of Secrets, while DHS has not confirmed the breach or data authenticity.  Finally, the FBI, Europol, and partners dismantled the Leak Base cybercrime forum, seized its database, conducted arrests and searches, and warned suspects through the forum's channels. Cybersecurity Today  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale.  You can find them at Meter.com/cst 00:00 Sponsor Message 00:19 Headlines Intro 00:42 Wikipedia Worm Attack 01:19 How The Worm Spread 02:08 Containment And Lessons 02:53 Hacktivists Leak ICE Data 04:47 Leak Base Takedown 06:10 Database Seizure Fallout 07:12 Wrap Up And Weekend Preview 07:30 Sponsor Closing

Ernesto Araújo and Alejandro Peña Esclusa report that President Lula faces domestic polling challenges and USsanctions while attempting to balance his leftist base's support for Iran with necessary trade relations with Trump. 16.1500

There are no easy answers, the escalation has begun. Israel has invaded Lebanon, Iran launches strikes against US bases, and Trump says the big wave has not yet happened yet. Become A Member http://youtube.com/timcastnews/join The Green Room - https://rumble.com/playlists/aa56qw_g-j0 BUY CAST BREW COFFEE TO FIGHT BACK - https://castbrew.com/ Join The Discord Server - https://timcast.com/join-us/ Hang Out With Tim Pool & Crew LIVE At - http://Youtube.com/TimcastIRL

-- On the Show -- Senator Ruben Gallego, Democrat from Arizona, joins us to discuss Donald Trump's attacks on Iran, whether they constitute an impeachable offense, and how they will affect the midterm elections -- Hillary Clinton angrily rebukes Lauren Boebert after Boebert raises conspiracy claims about Anthony Weiner and Epstein files during a tense exchange that leaves Republicans scrambling -- Donald Trump faces backlash from Tucker Carlson, Marjorie Taylor Greene, and other MAGA figures after launching military action against Iran despite campaigning on no new wars -- Gas prices surge nationwide as Donald Trump's military escalation in the Middle East disrupts oil markets, rattles Wall Street, and pushes energy costs higher for American consumers -- Donald Trump struggles through remarks honoring a fallen soldier, pivots to discussing ballroom decor, and leaves the room in visible silence and confusion -- Melania Trump chairs a United Nations meeting on children in conflict, while Donald Trump speaks about drapes at the White House, creating strange presidential optics -- The White House confirms Donald Trump is using a preventative skin cream after visible redness appears on his neck, but officials decline to name the condition or treatment -- Marco Rubio and Donald Trump defend a preemptive strike on Iran as both proactive and defensive, saying the United States acted first to avoid a larger attack -- On the Bonus Show: Americans are told to leave the Middle East, a draft Barron Trump website launches, the House opens an ethics probe into Nancy Mace, and much more...

Why can't most companies show their ROI on GenAI? Because their implementation is backwards.If you're using the same digital transformation playbook that you used for the social media and cloud eras, you're in trouble. On this 'Start Here Series' episode, we break down what your company is doing wrong and the 7 Step process to properly calculate ROI on your AI efforts. Measuring AI ROI: Why you're doing it wrong and the 7 Steps to fix it -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Proving and Measuring AI ROI in CompaniesOpenAI's GDP Benchmark: AI vs ExpertsDebunking MIT's Viral Zero ROI StudyQuantitative AI ROI Data from Business StudiesInvisible Productivity: AI Savings Pocketed by WorkersLimitations of Pre-AI Job Roles and MetricsROI Calculation: Time Saved and Cost ReductionFive Main Reasons AI ROI Isn't MeasuredSeven-Step AI ROI Measurement BlueprintImportance of Ongoing AI Model RetestingAI ROI: Training, Education, and Implementation GapsTimestamps:00:00 "AI ROI: Fixing the Debate"04:50 "AI ROI Debate is Pointless"08:03 AI Implementation Yields Positive ROI12:13 AI Reshaping Work Structures15:08 AI ROI Challenges20:11 "Baseline Assessment Before AI Implementation"23:49 "AI Operating System Discussion"24:35 "Standardized Testing for AI Models"28:26 "Rethink AI ROI Urgency"31:37 "Everyday AI: Subscribe & Explore"Keywords: measuring AI ROI, AI return on investment, generative AI ROI, GenAI ROI measurement, ROI on artificial intelligence, AI productivity, time saved with AI, cost reduction with AI, AI-driven revenue increase, AI risk avoidance, AI implementation, baseline assessment of AI, BASE framework, pre-AI baseline, digital transformation and AI, quality metrics in AI, cost per task AI, error rates AI, throughput AI, AI utilization rate, AI pilot evaluation, AI bSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Unpacking Q4 crypto equities earnings with Benchmark-StoneX Analyst Mark Palmer. Benchmark-StoneX Senior Equity Research Analyst Mark Palmer joins CoinDesk's Jennifer Sanasie on today's Markets Outlook to break down Q4 earnings and the structural shifts happening across the crypto equity landscape. He discusses how the potential enactment of the Clarity Act could trigger an influx of institutional capital and why Coinbase's Base protocol is a massive hidden driver for shareholders. - Timecodes: 01:11 - Digging Below the Surface of a Rough Q402:27 - Is Crypto Legislation on the Back Burner In Light of Geopolitical Events?04:45 - What's Next: Strategy's New Fundraising Pivot & Base as the Next Big Driver05:56 - The Carnival Ticket Analogy: How Protocol Tokens Actually Work - This episode was hosted by Jennifer Sanasie.

I engage with hundreds of Trump's supporters every day. Been doing it for years. The amount of anger, disillusionment, and confusion I've heard from them these past 4 days since Trump attacked Iran had been pretty off the charts. This matters. It really does. Hosted on Acast. See acast.com/privacy for more information.

Nicolle Wallace covers how the latest attack within Iran is yet another betrayal of the MAGA base, who wants America to be put first. Back before the 2024 election, Stephen Miller, now Homeland Security Advisor to Trump, called Kamala Harris' campaign “war-mongering neocons [who] love sending your kids to die for wars they would never fight themselves.” Fast forward to 2026 under a second Trump presidency, the United States has upended Venezuela's regime, conducted air strikes in the Caribbean, and struck Iran, killing its Supreme Leader, all of which puts the U.S. military at risk. Later, Marc Elias and Tim Miller discuss Trump's unproven claims of Iran interfering in the 2020 election, leading to his loss to Joe Biden, and how Trump might use his attack on Iran to justify a power grab over voting in the 2026 midterms. For more, follow us on Instagram @deadlinewh To listen to this show and other MS NOW podcasts without ads, sign up for MS NOW Premium on Apple Podcasts. For more from Nicolle, follow and download her podcast, “The Best People with Nicolle Wallace,” wherever you get your podcasts.To listen to this show and other MS podcasts without ads, sign up for MS NOW Premium on Apple Podcasts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.