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Alice Han and James Kynge dive into why JPMorgan has cut its Hong Kong employees off from Anthropic's Claude. That comes after Goldman Sachs quietly restricted AI access for their employees in the city. With ChatGPT already blocked on the mainland, are U.S. companies drawing a new line around Hong Kong? And what does it mean for the city's future as a global financial hub? They also discuss Lululemon's Great Wall yoga festival, which was meant to celebrate Chinese culture. Instead, a Japanese-style drum in the promotional imagery set off a nationalist firestorm — over 50 million views on Weibo and counting. It's the latest in a long line of foreign brand missteps in China. Why is it so hard to get it right? And finally: China hasn't qualified for the World Cup — but football fans have found someone to root for: Chinese referee Ma Ning, who has picked up sponsorships from Lenovo and Hisense and 210,000 new social media followers. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Deze aflevering van Gamekings Daily is ook te bekijken op https://youtu.be/6bs5y6B6ZYE Deze podcast wordt mede mogelijk gemaakt door Lenovo. Alle meningen in deze video zijn onze eigen. Lenovo heeft inhoudelijk geen inspraak op de content en zien de video net als jullie hier voor het eerst op de site. Welkom bij Gamekings Daily. De gaming vodcast waarin twee hosts van Gamekings gezellig babbelen over de laatste ontwikkelingen in de wereld der videogames. Koos schuift vandaag aan om samen met JJ deze GK Daily vol te praten. Wat waren de belangrijkste laatste ontwikkelingen van de afgelopen dagen? Allereerst is daar de prijs van 1800 dollar voor de nieuwe handheld van MSI, de MSI Claw 8 EX AI+. Die prijs geeft aan dat het leven van gamers die nieuwe hardware willen gaan kopen duur wordt. Heel duur. Of, zoals de baas van MSI het verwoordde: gamers gaan zware tijden tegemoet. Wat gaan de gevolgen van deze financiële ellende zijn? En waarom maakt Halo Studios zo'n ongehoord grote puinzooi van Halo: Combat Evolved? Je krijgt het antwoord op deze vragen tijdens de Gamekings Daily van maandag 22 juni 2026. Halo Studios maakt fans niet blij met aanpak Halo: Campaign Evolved Andere onderwerpen zijn het Steam Next Fest en GTA 6. Tijdens het Steam Next Fest doken opeens tientallen met Generative AI gemaakte games op. Pure slop. Waarom staat Steam dit toe? En dan was daar opeens de prijs van GTA 6 op de website van een grote Portugese winkelketen. Wat was die prijs en denken de twee dat dit ook de daadwerkelijke prijs gaat zijn op 25 juni? De dag dat de preorders online gaan. Scoor 15% korting op alle laptops van Lenovo met code GAMEKINGS Vanaf vandaag is Lenovo de vaste partner van Gamekings Daily. Tijdens de uitzendingen gebruiken we de Lenovo Legion Pro 5, de absolute bestseller van Lenovo op dit moment. In deze video vertellen we meer over deze puike gaming laptop. Om het verse partnership te vieren heeft Lenovo in hun shop, speciaal voor de kijkers en luisteraars , een 15% discount in het leven geroepen op alle laptops. Het enige wat je hoeft te doen, is de code GAMEKINGS in te voeren bij het afrekenen. Lekker toch...Wil je adverteren bij de podcast Gamekings óf misschien bij een andere podcast van ILVY Network? Mail dan naar management@ilvy.com en/of kijk even op de website : https://ilvy.com/podcastSee omnystudio.com/listener for privacy information.
It's another packed week in tech with Gareth and Ted covering stories ranging from niche gadgets to major software changes that could affect millions of users. This week's show include an industrial-grade vinyl cutter that lets music lovers press their own records at home, Lenovo's surprisingly audio-focused new Android tablet, new legislation designed to make the internet safer for children, Microsoft Teams becoming a little too aware of where you're working, and fresh criticism of Windows 11's Media Player. With Gareth Myles and Ted Salmon Join us on Mewe RSS Link: https://techaddicts.libsyn.com/rss Direct Download | iTunes | YouTube Music | Stitcher | Tunein | Spotify Amazon | Pocket Casts | Castbox | PodHubUK News Sick of scrounging in thrift stores for LPs or paying $40 for a new album? This pro vinyl cutter lets you make your own — but it's an absolute beast Lenovo Tab Plus Gen 2 launches with 9 JBL speakers and a 12.1" LCD with Dolby Vision New rules to protect children online Microsoft Teams will use Wi-Fi connectivity to automatically update your work location Windows 11's New Media Player Uses 3.5x More RAM, Charges for Popular Video Codecs Banters: Knocking out a Quick Bant Microsoft is killing Office 2021 in 2026, and it's pushing hard for 365 Alternate article - Microsoft is killing Office 2021 in October to push you onto Microsoft 365, how to fight back Bought Report Bellemond Magnetic Kent Paper Screen Protector for Samsung Galaxy Tab & 15 Pen Tips for Samsung Galaxy S-Pen Bargain Basement: Best UK deals and tech on sale we have spotted EF ECOFLOW DELTA 3 Max Portable Power Station, 2048Wh LiFePO₄ Battery, 2400W X-Boost Output, w/code £698.28 - WL49S3M2 Motorola Razr 60 Ultra £799.99 from £1,099.00 (£160 x 5 months for me) UGREEN Nexode 140W 25000mAh Laptop Power Bank Fast Charging Portable Charger - Prime Exclusive - Sold by UGREEN GROUP LIMITED UK / FBA - £49.99 XIAOMI 17 512GB/12GB, £749 from £999 (£149.80 x 5 months for me) CORSAIR CX750 80 PLUS Bronze Non Modular Low-Noise ATX 750 Watt Power Supply (Black) £54.98 Anker Prime 250W USB-C Charger £109 from £169.99 - not seen quite this cheap before soundcore Boom 3i by Anker Rugged Bluetooth Outdoor Speakers, IP68 Waterproof, 50W Black - Sold by AnkerDirect FBA - Early Prime Day Deal - £49.99 Kindle Colorsoft Signature Edition (32GB) Bundle with No Ads. & Amazon Fabric Cover & Wireless Charging Dock - £234.97 from £344.97 reMarkable Starter Bundle – reMarkable 2 Tablet | Includes 10.3" Writing Tablet, Marker Plus Pen with Built-in Eraser - Prime Members Price - £339.99 Main Show URL: http://www.techaddicts.uk | PodHubUK Contact:: gareth@techaddicts.uk | @techaddictsuk Gareth - @garethmyles | Mastodon | Blusky | garethmyles.com | Gareth's Ko-Fi Ted - tedsalmon.com | Ted's PayPal | Mastodon | Ted's Amazon YouTube: Tech Addicts
¿Qué hay detrás de la magia de la Copa del Mundo? ¿Sabías que la Copa del Mundo fue robada y la encontró un perro en un matorral? ¿O que Francia tuvo que jugar un partido con la camiseta prestada de un club local?En este episodio de "De Un Punto Al Otro", Daniel y Mavi hacen un repaso de las historias más insólitas y los datos que han definido la historia de los Mundiales. Desde récords que parecen imposibles de romper hasta las anécdotas más curiosas ocurridas fuera y dentro de la cancha. Además, hacemos un viaje musical con nuestro Top 10 de las canciones más icónicas que han puesto ritmo a la máxima cita del fútbol. Te contamos también cómo la inteligencia artificial, el balón inteligente y los mapas 3D están cambiando las reglas del juego en este Mundial 2026. ¡Y cerramos el episodio con nuestras recomendaciones imperdibles de cine y series como He-Man, Spider-Noir y Sugar! Dale play, suscríbete y déjanos en los comentarios cuál es tu canción de mundial favorita.Si creías que lo sabías todo sobre el Mundial, prepárate para sorprenderte.PUEDES LEER MÁS DETALLES EN NUESTRA WEBLo que NO SABES de los Mundiales (Anécdotas, Récords y Top 10 Canciones) https://culturizando.com/e73-lo-que-no-sabes-de-los-mundiales/✨ ¡Suscríbete a Culturizando! No te pierdas ningún episodio. Activa la campana
Claudio Stopatto es el nuevo General Manager de Infrastructure Solutions Group para América Latina en Lenovo, en un momento donde las empresas de la región necesitan mejorar su tecnología para adoptar inteligencia artificial y procesar datos a gran escala.
During a special interview recorded live at the Beyond 26 Conference in Salt Lake City, Utah, we sat down with Cassie Jeppson, Director Ecosystem Strategy at Lenovo. Cassie is a dynamic leader whose passion for people, partnerships, and innovation is helping to reshape the channel. She has also been featured on CRN's Women of the Channel list, Channel Futures DE&I 101, and as a CRN Inclusive Leader. Highlights include: Cassie's new global leadership role, where she is focused on enhancing the end-to-end partner experience and helping organizations navigate growth through collaboration, communication, and trust. The evolution of partner ecosystems, the importance of listening over assumptions, and why every partner—from emerging businesses to enterprise organizations—deserves recognition and support. Staying authentic, embracing mentorship and championing diversity and inclusion. Finding harmony between professional success and personal fulfillment. A refreshing perspective on what it means to lead with vulnerability and purpose, this conversation is a must-listen for technology leaders, channel professionals, and anyone striving to create meaningful impact through relationships and partnerships. Follow Cassie on LinkedIn and be sure to visit Lenovo.com
Dean Takahashi is the dean of tech writers and a 25-year veteran correspondent covering consumer electronics, gaming, and emerging technology for GamesBeat. He's covered every major tech transition—from mobile's rise to VR's boom-and-bust cycles to the current AI explosion—with a skeptical eye and a talent for finding the human story beneath the hype. This is his fifth appearance on the AI XR Podcast.For CES 2026, Dean walked the floors across the Convention Center, the Venetian Expo Center (Eureka Park), Pepcom, and Showstoppers, emerging with a clear reading: China has decisively shifted from periphery to center stage in consumer electronics manufacturing, American incumbents are pulling back and rethinking their booth strategy, and the economics of CES itself are in transition. Robotics companies are moving from prototype to commercial faster than expected—but they still can't answer basic questions about pricing and labor displacement.News: Sony cuts its booth to demo an electric car instead of TVs. Samsung skips the show floor entirely for the first time. Nvidia takes over the Fontainebleau to showcase its role in robotics enablement. Lenovo dominates the Sphere with a Gwen Stefani concert. Chinese robotics companies proliferate with laundry folders, latte makers, and toilet-cleaning units. Roomba files for bankruptcy; Chinese competitors take over the robotic vacuum market.Key Moments:[00:01:23] Dean receives his virtual green jacket as a five-time returning guest and Charlie thanks him for his insights[00:03:00] China takeover at CES: TCL dominates Central Hall, ROED owns the XR booth, robotics companies fill the floor[00:06:00] Nvidia's Fontainebleau takeover and the "chest-pumping" show of force; why scale messaging still matters[00:14:18] The robotics explosion explained: Nvidia's digital twins, Cosmos world models, and synthetic testing accelerate time-to-market[00:19:00] The pricing problem: robotics companies won't answer how much their products cost; the minimum wage rental model doesn't translate globallyWhen American companies built the show, CES reflected American manufacturing dominance. Now that China manufactures most consumer electronics, CES reflects that shift—and the implications ripple through labor, supply chains, and where the next epicenter of innovation will be. Dean, Charlie, and Ted grapple with what CES 2026 signals about global manufacturing advantage and why the geography of tech matters more than we think.This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Mattercraft combines the power of a game engine with the flexibility of the web, and now features an AI assistant that helps you design, code, and debug in real time, right in your browser. Build smarter at mattercraft.io.Listen to the full post-CES debrief and subscribe for weekly conversations at the intersection of AI, XR, and consumer technology. Hosted on Acast. See acast.com/privacy for more information.
At CES 2026, Lenovo showcased an exciting new AI innovation called QIRA, redefining what personalized technology can offer. This powerful, system-level feature works seamlessly across devices and platforms, enhancing user experience like never before, and it's now being rolled out on select Lenovo devices.In this episode, I had the privilege of speaking with Jeff Snow, the Head of Product and AI Ecosystem at Lenovo. We explored the inspiring vision behind QIRA, its capabilities, and how Lenovo is uniquely positioned to offer such an experience. Join us as we dive into how QIRA gathers insights, develops its extensive knowledge base, maintains synchronization across devices, and implements robust measures to protect user privacy and security.Index:00:00 - Intro02:00 - Guest intro (Jeff Snow, VP & Head of Product & AI Ecosystem)02:50 - What is QIRA - Cross-device, local-first personal intelligence03:42 - The vision of QIRA - Uniform "Lenovo AI Experience" across devices05:13 - Organizationally, one team is working on QIRA, implemented on all Lenovo devices06:12 - Examples of what it can do today: Catch me up - Summarize what happened across devices, Pay attention - Summarize meetings, and make it part of the knowledge base across devices, more08:17 - QIRA learns from experiences - Implicitly and explicitly (with user permission), gathers and personal knowledge & insights09:59 - It is more than an OTT app - App interface, but tightly integrated into the machine, even connecting with the OS, utilizes local AI models, and can be surfaced in any other apps12:29 - The inputs to QIRA - Multimodal, text, images, voice, additional context (emails, chats, etc.), system health and telemetry, cross-device artifacts (e.g. notifications)14:00 - Explicit user permission is required before saving any inputs, and it can be revoked at any time. "Humans are always in the loop"15:06 - ALL the data generated by the device is stored locally on that specific device, the vectorized and encrypted data is shared across devices to keep all the devices in sync18:16 - The "learning" happens and is stored in the individual device, and synced across devices20:10 - Hybrid and agile model selection: mix of local, cloud, own, and third-party, with always a local-first approach21:56 - User option "Local-only" or "Hybrid." Even in local-only mode, sync across devices can be enabled23:56 - Most QIRA actions are user-initiated or part of an experience or workflow.23:27 - It can surface suggestions, but not directly take action without direct user intervention28:49 - QIRA can be the primary AI assistant interface on your Lenovo device32:20 - Lenovo is exploiting its unique position, with pocket-to-cloud offerings, to provide a more personalized and well-rounded AI experience to its users32:49 - Key challenges Lenovo faced in bringing QIRA to market: changing the mindset of the team to be software-focused, and moving quickly34:99 - Defenses against accessing QIRA-related data when the device is stolen36:17 - Ability to migrate personal knowledge base from old to new device37:20 - No QIRA knowledge base vector data cloud back-up38:30 - Different peer product in China, QIRA is for the rest of the world39:33 - Evolution of QIRA: More devices, third-party devices, even richer knowledge base & orchestration, enterprise solution39:48 - Portability of QIRA vector database41:20 - Closing
Organisée pour la première fois sur trois pays et avec un format inédit de 48 équipes, la Coupe du monde 2026 marque une rupture économique majeure. Derrière l'augmentation du nombre de matchs, la Fifa fait évoluer son modèle publicitaire en s'appuyant sur les géants de la tech, l'intelligence artificielle et les plateformes numériques pour générer de nouvelles sources de revenus. La Coupe du monde 2026 sera celle de tous les records. Organisée aux États-Unis, au Canada et au Mexique, elle réunira 48 équipes et comptera 104 matchs, contre 64 lors des éditions précédentes. Soit près de 65% de contenu supplémentaire à monétiser. Pendant des décennies, le modèle économique de la Fifa reposait sur trois piliers : la vente de billets, les droits télévisés et les revenus issus des sponsors traditionnels grâce aux panneaux publicitaires autour des terrains. Ce modèle reste d'actualité, mais il évolue rapidement pour s'adapter à une compétition devenue plus grande et plus coûteuse. Cette transformation se traduit notamment par l'arrivée de nouveaux partenaires issus de la technologie. Lenovo, Google, TikTok ou encore YouTube ne se contentent plus d'acheter de la visibilité. Ils fournissent également des infrastructures numériques, des services technologiques et des outils d'intelligence artificielle qui participent directement au fonctionnement de la compétition. Des sponsors qui ne vendent plus seulement leur image mais aussi leurs technologies Aujourd'hui, payer plusieurs millions d'euros pour afficher son logo pendant 90 minutes autour d'un terrain ne suffit plus. Les entreprises technologiques cherchent désormais à proposer des services qui améliorent l'expérience des spectateurs et des organisateurs. L'exemple de Lenovo illustre parfaitement cette évolution. Pour la Coupe du monde 2026, le groupe déploie près de 10 000 équipements informatiques et mobilise plusieurs centaines d'ingénieurs afin d'accompagner l'organisation de l'événement. Pour la Fifa, cette stratégie présente un double avantage. D'une part, ces entreprises contribuent au financement de la plus grande compétition de football au monde. D'autre part, elles permettent de créer de nouvelles sources de revenus liées aux usages numériques qui n'existaient pas il y a encore quelques années. Les habitudes de consommation ont profondément changé. Les supporters ne regardent plus seulement un match à la télévision. Ils commentent les actions sur les réseaux sociaux, consultent les statistiques en direct sur leur smartphone ou visionnent les ralentis sur TikTok. Cette multiplication des écrans ouvre de nouvelles opportunités commerciales pour les annonceurs comme pour la Fifa. Le supporter devient une donnée économique et chaque contenu peut être monétisé Cette évolution transforme également le rôle du spectateur. Il n'est plus seulement une audience, mais devient une source de données permettant de personnaliser les campagnes publicitaires. Grâce à l'ultra-personnalisation, les annonceurs peuvent cibler beaucoup plus précisément les consommateurs qui les intéressent. Un jeune supporter sénégalais, par exemple, pourra recevoir sur son téléphone des publicités adaptées à sa région, à ses habitudes de consommation ou à ses centres d'intérêt, alors même qu'il regarde le même match qu'un supporter européen ou américain. Au fond, un match de football de 90 minutes n'est plus le seul produit commercialisé. Il devient le point de départ d'un écosystème beaucoup plus vaste où chaque extrait vidéo, chaque ralenti, chaque publication sur les réseaux sociaux ou chaque contenu diffusé avant et après la rencontre peut générer des revenus. Les recettes de la Fifa ne proviennent donc plus uniquement des chaînes de télévision qui diffusent les matchs, mais également des plateformes numériques qui exploitent les extraits et les contenus associés. L'objectif est clair : augmenter les revenus de la compétition en répondant aux nouveaux usages des consommateurs et en allant chercher la valeur là où se trouve désormais l'attention du public. La Coupe du monde 2026 pourrait ainsi marquer l'entrée définitive du football dans l'économie des plateformes numériques, où la donnée et l'expérience utilisateur deviennent presque aussi importantes que le spectacle sur le terrain.
„No Hype KI“ wird unterstützt von ACP, EY, ITSV, KEBA Group, Lenovo, Microsoft, ONTEC AI und der Universität Graz.Wo steht die österreichische Wirtschaft im internationalen KI-Vergleich 2026? Welche Rolle spielen saubere Datenstrukturen und die Unternehmenskultur bei der Implementierung von KI-Lösungen? Und wie verändern Agentic AI und regulatorische Rahmenbedingungen wie der AI Act unsere Arbeitswelt?Im Staffelfinale von „No Hype KI“ zieht eine hochkarätige Gesprächsrunde Bilanz und wirft einen Blick auf die Zukunft von Künstlicher Intelligenz abseits des Hypes. Die Diskussion beleuchtet den Wandel von ersten Use-Cases hin zu einer unternehmensweiten KI-Kultur, die Bedeutung von "Physical AI" in der Industrie und warum der Mensch im Mittelpunkt der technologischen Transformation bleibt.Es diskutieren:⚫ Hermann Erlach | General Manager Austria | Microsoft ⚫ Sulejman Ganibegovic | CEO KEBA Digital | KEBA ⚫ Patrick Ratheiser | Director & Head of AI | EY ⚫ Rainer Kalkbrener | CEO | ACP
The show starts with a bang as Jason, Huyen, and Flo consider what you might call Android smartphone reviewers obsession with carrying around multiple smartphones at any given time. Plus, the crew tries really REALLY hard to catch the attention of Coca-Cola. Oh, and there's plenty of chat about actual Android news as well.PATREON SPECIAL: We're celebrating our 3rd Anniversary all month and you can get 20% off a membership at Patreon with code AF3 at https://www.patreon.com/c/AndroidFaithfulNote: Time codes subject to change depending on dynamic ad insertion by the distributor00:09:35 - NEWSBig Day for Android: Android 17 Released! WearOS 7 Released! June Pixel Drop!Android 17 Is Now Live for Anyone With a Pixel SmartphoneCheck out what's new in Android 17Wear OS 7 helps your smartwatch keep up with youJune Pixel Drop: New features for creators, Gemini upgrades and moreVerizon sent man a refurbished phone with MDM, then deleted his data remotelyQualcomm Announces Snapdragon Reality Elite, Its New Flagship XR ChipsetXREAL's Android XR glasses will cost under $1,500, which isn't as expensive as it soundsRelated: Snap is finally about to ship AR glasses — and they cost a fortunePATRON PICK: /e/OS 4.0 is here: Murena's Android fork makes it even easier to escape Google's clutches00:44:12 - HARDWAREExclusive: Nothing headphones and smartphones are now available at Best Buy in the USThis budget phone has a dot-matrix camera lens.Lenovo's new rugged Android tablet has a removable battery, now on sale for $49900:56:43 - APPS 'n SOFTWARE 'n STUFFWaze now shows traffic lights on your route, but it's rolling out slowlyTelegram brings back its Wear OS app after five years with chats, voice messages, more01:05:04 - COMMUNITYTharanga from Australia agrees with Huyen from last week's AI tirade. Hosted on Acast. See acast.com/privacy for more information.
VOV1 - Một cuộc cạnh tranh đang nóng lên ngoài sân cỏ World Cup giữa các mô hình trí tuệ nhân tạo (AI) hàng đầu của Trung Quốc, khi các mô hình này đang được thử nghiệm để dự đoán kết quả của một trong những sự kiện thể thao lớn nhất hành tinhTrước thời điểm khai cuộc, Tập đoàn Lenovo và Migu Video của Trung Quốc đã cùng nhau ra mắt chương trình “Đại chiến giữa người và máy dự đoán World Cup” dành cho công chúng. Lenovo Tianxi AI đã tập hợp 11 mô hình AI hàng đầu trong nước, gồm DeepSeek, Kimi, Qianwen... để thành lập “Đội dự đoán 12 AI”.Việc triển khai tính năng dự đoán kết quả của các mô hình ngôn ngữ lớn này, đã biến World Cup năm nay thành một chiến trường mới cho khả năng suy luận và phân tích dữ liệu dựa trên AI của Trung Quốc.Theo truyền thông nước này, đây là cuộc chiến giữa người và máy có sự tham gia của nhiều mô hình AI và công chúng cùng đồng thời dự đoán World Cup đầu tiên trên thế giới.Tuy nhiên, World Cup cũng bộc lộ những hạn chế của các mô hình AI hiện nay khi phân tích và dự đoán kết quả các sự kiện thể thao. Ví dụ, trước trận mở màn bảng C giữa Brazil và Ma-rốc (Morocco) hôm Chủ nhật, các mô hình đã đưa ra dự đoán chiến thắng nghiêng về Brazil dựa trên dữ liệu lịch sử và các chỉ số thống kê. Tuy nhiên, trận đấu đã kết thúc với tỷ số hòa 1-1.Theo ông Quách Đào, chuyên gia cao cấp về AI của Trung Quốc, World Cup mang đến cho các công ty AI cơ hội hiếm có để thể hiện sức mạnh tính toán và kỹ năng phân tích của các mô hình trước công chúng. Tuy nhiên, dù AI có thể phân tích dữ liệu lịch sử và các mô hình thống kê, nhưng vẫn gặp khó khăn trong việc dự đoán chính xác kết quả thực tế, đặc biệt trong thể thao.Mặc dù vậy, theo ông Hồ Diên Bình, giáo sư tại Đại học Tài chính và Kinh tế Thượng Hải, các mô hình ngôn ngữ lớn và các tác nhân AI đang dần phát triển từ các hệ thống hướng đến hội thoại thành các hệ thống hướng đến nhiệm vụ, đồng thời vượt ra khỏi giai đoạn huấn luyện sơ bộ để hướng tới học tập liên tục và nhận thức thực tế rộng hơn. Các dự án mang tính thử nghiệm, như dự đoán kết quả các trận đấu World Cup, có thể giúp đẩy nhanh quá trình này./. Bích Thuận/VOV-Bắc KinhLễ hội Lenovo FIFA World Cup 2026. Ảnh: mạng Quang Minh
Welcome to Tech Addicts! In this episode, Gareth and Ted dive into the massive £1bn Amazon UK investment, Google's AI liability, and the bizarre truth behind "Britain's biggest hole." Also, look at Lenovo's batteryless rugged tablet, the Lenovo Legion Go S, and Ted's retro review of the Pebble Time 2. If you enjoy UK tech news, reviews, and massive tech bargains, hit that subscribe button! With Gareth Myles and Ted Salmon Join us on Mewe RSS Link: https://techaddicts.libsyn.com/rss Direct Download | iTunes | YouTube Music | Stitcher | Tunein | Spotify Amazon | Pocket Casts | Castbox | PodHubUK On the show this week: A spy in your pocket? How the UK's proposed on-device nude image blocking could work in reality Lenovo Just Built a $499 Rugged Tablet You Can Run Without a Battery Britain: biggest hole ever! Court actually holds Google responsible for everything AI Overviews get wrong Microsoft is locking Office 2019 users out of editing on Apple devices starting next month Researchers are developing textiles that can produce drinking water from the air Amazon reveals £1bn investment in the UK - 4,000 jobs set to be created, with new £500m fulfilment centre hoping to speed up deliveries across the country Banters: I bought a thing! - Lenovo Legion Go S Ted's Review - Pebble Time 2 BARGAIN BASEMENT (Best UK Tech Deals) Please note: Prices correct at time of recording. Check links for live availability. Google Pixel 10a Lisen USB-C to USB-C Cable, 60W, 4-Pack soundcore by Anker Select 2S Bluetooth Speaker Tecknet Wireless Ergonomic Keyboard Anker Nano 13-in-1 Laptop Docking Station Samsung Galaxy S25 FE Aioneus USB C Plug,40W Multi USBC Plug UK PD Power Adapter SoundCore Motion X600 Bluetooth Speaker Main Show URL: http://www.techaddicts.uk | PodHubUK Contact:: gareth@techaddicts.uk | @techaddictsuk Gareth - @garethmyles | Mastodon | Blusky | garethmyles.com | Gareth's Ko-Fi Ted - tedsalmon.com | Ted's PayPal | Mastodon | Ted's Amazon YouTube: Tech Addicts
The 2026 World Cup will be the largest one yet, and FIFA is trying to make it the most high-tech, too. The federation has partnered with tech giant Lenovo to launch Football AI Pro, which is designed to analyze over 2,000 different metrics and deliver real-time insights to coaches, players, and analysts. Guest Host Jane Lindholm chats with ESPN writer Ryan O'Hanlon about how AI analytics actually play out in soccer. Plus, how a team of researchers grew 16 stadiums' worth of FIFA-class turf. Turfgrass scientist Jackie Lyn Guevara breaks down the importance of perfectly uniform turf, how the turf was designed, and what she'll be looking out for during the matches. Guests: Ryan O'Hanlon is a staff writer at ESPN and the author of “Net Gains: Inside the Beautiful Game's Analytics Revolution.” Dr. Jackie Lyn "Jack" Guevara is an assistant professor in the Department of Plant, Soil and Microbial Sciences at Michigan State University. Other episodes you may enjoy: We're All Being Played By Metrics The Surprising Science Of Why Sneakers Squeak Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that's keeping you up at night? Call us: 877-472-4374 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Nvidia's RTX Spark Targets Apple's M-Series as a New AI Laptop Super ChipThe script argues Nvidia has escalated competition with Apple by unveiling the RTX Spark, an ARM-based “super chip” combining Blackwell GPU architecture with Grace, positioned for on-device AI agents. Citing reports from The Telegraph and Mac Rumors, it claims RTX Spark can run 120B-parameter local LLMs, handle 12K video editing, and play AAA games at 1440p with ray tracing, and will appear in a Microsoft Surface Laptop Ultra plus high-end HP, Dell, and Lenovo systems. It frames this as a direct threat to Apple's M-series efficiency advantage and Mac “walled garden,” while noting Apple is banking on an N5 chip and rumored “Project Q” to build data-center-class AI chips to reduce reliance on Nvidia. The script highlights Nvidia's ~86% AI accelerator share and urges viewers to watch adoption over the next six months.00:00 Nvidia Challenges Apple00:29 Meet RTX Spark01:22 Three Big Advantages01:51 Windows Laptops Get It02:39 Apple Plays Defense03:04 Project Q Rumors03:45 Market Share And Bets04:41 Stay Winning Mindset05:02 Subscribe And Wrap Up________________________________________________________________FOLLOW ME ON X: https://twitter.com/staywinningusdFOLLOW ME ON INSTAGRAM: https://www.instagram.com/staywinningusd/SUBSCRIBE ON YOUTUBE: www.youtube.com/@staywinningusdDOWNLOAD ON SPOTIFY: https://open.spotify.com/show/2lPyA19keI2fpr0xZrEKxMNEWSLETTER SIGNUP: https://stay-winning-wealth.kit.com/806fb337d7SUBSCRIBE TO THE BLOG: https://medium.com/@staywinningusd________________________________________________________________
Microsoft Build 2026 announced an end-to-end agentic AI stack. COMPUTEX Taipei confirmed heterogeneous AI infrastructure across ARM, Marvell, Intel, Qualcomm, and NVIDIA. Alphabet raised $80 billion. Cisco Live repositioned the network as the AI platform. Patrick Moorhead and Daniel Newman break it all down alongside earnings from Broadcom, HPE, Palo Alto Networks, and CrowdStrike, plus the token cost conversation, the edge AI push, and what Palantir and Oracle are saying about proprietary data as the real AI moat. The handpicked topics for this week are: Microsoft Build 2026 Announced an End-to-End Agentic AI Stack: Microsoft shipped MAI-Thinking-1, its first homegrown thinking model, alongside Scout, Microsoft IQ, Project Solara, and a Majorana 2 quantum update targeting a 2029 commercial timeline with claims of a 1,000x reliability gain. Pat describes MAI-Thinking-1 as likely better than Sonnet 4.6 in blind testing and delivering close to GPT 5.5 quality at a far lower cost. Scout is Microsoft's first autopilot agent, anchoring the M365 Agent Suite with Office Pilot Agent Mode and Agent 365. Microsoft IQ serves as the context layer, integrating M365, business data, boundary IQ, and web IQ with GitHub Copilot, Foundry, and Copilot Studio. Project Solara is a new Android-based platform built for agent-first devices across transportation, retail, and hospital settings. Microsoft also added 83 Unix commands to the Windows stack. Dan frames Microsoft's real play as distribution, not frontier model development, noting that the open model ecosystem being pulled into the platform will matter more to CFOs managing token costs at scale. (The Decode) The AI Stack Goes Multi-Silicon — COMPUTEX Taipei 2026 Confirms Heterogeneous AI Infrastructure: ARM's AGI CPU is in production with Google moving its TPU head node to ARM, and adding Oracle and ByteDance as new customers. ARM also introduced a new switch, the TT100, and put the 51T CPO switch on stage. Marvell received a trillion-dollar company endorsement from Jensen Huang, adding $90 billion in market cap on the comment alone. Intel announced disaggregated inference details and Xeon 6+ Clearwater Forest, its first 18A data center processor. Vista Equity and Cambium Capital announced a NeoCloud called Vector Core Compute, with Xeon 6 handling orchestration, Salmonova RUs handling decode, and Blackwell GPUs handling pre-fill. Qualcomm's Cristiano Amon announced the Dragonfly data center brand with Snapdragon C details coming at their June investor day. The WSTS raised the 2026 semiconductor TAM forecast by 90% to $1.51 trillion, with Pat noting the market could hit a trillion dollars if memory is excluded entirely. (The Decode) NVIDIA RTX Spark and the Edge AI Push: NVIDIA coordinated with ARM and Microsoft around the RTX Spark at COMPUTEX, with the shared message being that the future of Windows is here. Signal65's Ryan Shrout asked Jensen directly why NVIDIA wants to be in the PC business, given low margins and diminishing returns. Dan frames the answer in the context of devices increasingly becoming mobile data centers, capable of running models at much greater efficiency than cloud delivery. The edge AI conversation is also directly tied to token cost economics: as intelligence delivery moves closer to the device, the cost per token drops significantly. The jury is still out on whether NVIDIA will meaningfully disrupt the PC market, but its influence over OEMs like Lenovo and Dell that depend on it for data center gives it real leverage over SKUs. (The Decode) Token Economics and Frontier Model Cost Pressure: Dan and Pat discuss a substantive shift in how enterprises are thinking about AI consumption costs. Dan argues that "token maxing," the practice of defaulting to the most powerful frontier model for every task, has now effectively peaked, as bills have come due at scale. Companies paying for tokens in volume are starting to question whether they can afford the prices that frontier models actually cost to deliver. Pat pushes back, saying the dynamic is still present, but both analysts agree that the market is moving toward a model where token selection is matched to the job, with Microsoft's MOE approach and thinking models positioned to help CFOs manage that economics story. (The Decode) Continuum Goes Public at Highest Valuation for an AI Platform: Dan notes that Continuum, the Honeywell-spawned quantum company, went public this week at what he calls the highest valuation for an AI platform to date. He flags that IonQ will likely contest that characterization. The broader context is Microsoft entering the quantum conversation with Majorana 2 at Build, a name that has largely been absent from the quantum race, while IBM has received most of the attention. (The Decode) AI CapEx Has Outgrown Cash Flow — Alphabet's $80 Billion Equity Raise: On June 1, Alphabet announced an $80 billion equity capital raise, upsized to $85 billion, structured as $40 billion ATM, $30 billion underwritten, and a $10 billion private placement with Berkshire Hathaway anchoring. Pat frames the questions over CapEx returns as entirely dependent on whether you are an AI boomer or a doomer: if the payback comes, the raise is the right move. If it does not, the math doesn't close. Dan argues the investment is existential, drawing parallels to how infrastructure-first companies have always spent ahead of monetization, and notes that Google's equity is being used as a capital engine that may be more efficient than the debt markets right now. Both analysts flag the downstream implications for Broadcom, MediaTek, and Marvell given the TPU connection. (The Decode) The Network Becomes the AI Platform: Cisco Live 2026: Cisco launched Silicon One P200, the Secure AI Factory with NVIDIA and Spectrum X, AgenticOps, MCP-native automation, Cisco IQ, LiveProtect, and folded Astrix Security and Galileo into Splunk under one control plane. Pat identifies Cisco Cloud Control as the biggest announcement of the entire show, pulling together Catalyst, Meraki, Nexus, Firewall, and WebEx under agentic ops that run natively through MCP, with code running directly on smart switches that have x86 processors. Pat also credits Cisco for establishing Silicon One as a credible chip alternative for hyperscalers capable of taking on Tomahawk and Jericho. Dan frames the long-term opportunity as campus and branch enablement when industrial AI and robotics deployments accelerate, arguing that the numerator of AI's economic impact has barely started, as edge deployment spending has not yet begun. (The Decode) The Flip: Did Microsoft Build 2026 Effectively End the OpenAI Partnership? Pat argues the divorce decree has been filed. MAI-Thinking-1 was built with zero distillation from third-party models offering clean enterprise data lineage, with Maia 200 in production plus Anthropic chip supply, which signals vendor hedging. OpenAI is going all-in on AWS, which means you cannot be married to two people, and the full Build stack covering model, OS containment via MXC, agents via Scout and Agent 365, and context via Microsoft IQ removes every architectural dependency on OpenAI. Dan counters that Microsoft is hedging rather than leaving and predicts the partnership will run through the decade. Enterprise Copilot customers are explicitly showing in data that they demand GPT 5.5, internal benchmarks have not been independently validated, and Microsoft stands to make meaningful money from the OpenAI IPO. (The Flip) Broadcom Q2 FY26 Earnings: Broadcom posted revenue of $22.19 billion, a narrow miss depending on which consensus data set is used, with EPS of $2.44 beating estimates and AI semis at $10.8 billion. Hock Tan declined to raise the $100 billion full-year AI chip target, and the stock dropped 13% in premarket trading. Q3 guide came in at $29.4 billion. Pat calls the miss a timing issue driven by Google's multi-sourcing across Marvell, MediaTek, and Broadcom rather than a fundamental problem. Dan flags that Hock Tan opened the earnings call by accidentally reading from the 2025 print, calling it "not the best moment." Sell-side re-ratings held in the 500s across Jefferies, Mizuho, and Deutsche Bank despite the drop, with Futurum Equities having it at 600. (Bulls and Bears) Hewlett Packard Enterprise Q2 FY26 Earnings: HPE delivered revenue of $10.68 billion, up 40% year over year, and EPS of $0.79, up 100%. Juniper integration and AI servers both outperformed, and all FY26 guides were raised. The stock jumped 19% after hours before settling into a roughly 15% gain, with HPE up 68% over the last month. Pat frames HPE as a value play rather than a volume play, methodically targeting enterprise and sovereign cloud deals where it can maintain profitability, rather than competing for massive NeoCloud volume. Antonio Neri was clear on the call that the profitability pull-forward is a one-shot deal. Pat and Dan will both be at HPE Discover the week after next to interview Neri and the C-suite. (Bulls and Bears) Palo Alto Networks Q3 FY26 Earnings: Palo Alto posted revenue of $3.0 billion, up 31% year over year, beating the $2.94 billion estimate, with non-GAAP EPS of $0.85, beating the $0.79 to $0.81 range. NGS ARR reached $8.1 billion, up 60% year over year, including $1.6 billion from CyberArk and Chronosphere. RPO hit $18.4 billion, up 36%. Both FY26 revenue and EPS guides were raised. Adjusted FCF margin came in at 38.5% TTM, up 430 basis points. The stock jumped 11% immediately after hours, then drifted lower. Pat points to 2,200 platformized customers and 120% net retention as the most important metrics. Dan notes the SaaSpocalypse thesis continues to be wrong. (Bulls and Bears) CrowdStrike Q1 FY27 Earnings and the Proprietary Data Moat Argument: CrowdStrike posted revenue of $1.39 billion with EPS of $1.10 and ARR of $5.51 billion. Net new ARR of $255.8 million set a Q1 record, up 32% year over year. FY27 net new ARR guide was raised by $52 million to a $1.29 billion midpoint, and FY27 revenue was raised to $5.915 to $5.959 billion. A 4-for-1 stock split was announced effective July 2nd. The stock dropped 11% despite the beat after a 64% year-to-date run into earnings. Dan uses the results to make a broader argument against the software disruption thesis, referencing Palantir CEO Alex Karp daring customers to build without him using Anthropic or OpenAI, and Larry Ellison's argument that the real AI value unlock sits in proprietary enterprise data that is not accessible to frontier models. Enterprises with governed, secure, proprietary data will continue to need platforms like CrowdStrike regardless of what frontier models can do. (Bulls and Bears) Six Five Summit is coming. Salesforce CEO Mark Benioff will kick off the event. Register and stay current at sixfivemedia.com/summit. Watch the full video at sixfivemedia.com, and be sure to subscribe to our YouTube channel so you never miss an episode. The Decode Microsoft Declares Independence — Build 2026 Ships an End-to-End Agentic AI Stack (MAI-Thinking-1 + Scout + Microsoft IQ + Project Solara + Majorana 2) https://www.theverge.com/tech/941738/microsoft-build-2026-biggest-announcements The AI Stack Goes Multi-Silicon — Computex 2026 Confirms a Heterogeneous AI Infrastructure (ARM + Marvell + Intel ASIC + Qualcomm + RTX Spark); WSTS Raises 2026 Semi TAM Forecast 90% to $1.51T https://www.tomshardware.com/tag/computex AI Capex Has Outgrown Cash Flow — Alphabet's $80B Equity Raise Is the Largest in U.S. Corporate History; Berkshire Anchors $10B https://abc.xyz/investor/news/news-details/2026/Alphabet-Announces-Proposed-80-Billion-Equity-Capital-Raise-to-Expand-AI-Infrastructure-and-Compute-2026-b0myAMewCa/default.aspx The Network Becomes the AI Platform — Cisco Live 2026 Launches Silicon One P200, Secure AI Factory (with NVIDIA), AgenticOps, Astrix Security + Galileo https://www.cisco.com/site/us/en/about/whats-new/index.html The Flip Did Microsoft Build 2026 Effectively End the OpenAI Partnership? MAI-Thinking-1 Beats Sonnet 4.6 in Blind Testing, Microsoft Claims GPT-5.5 Parity at 10x Cost Efficiency — Will MS Quietly Wind Down OpenAI Exclusivity by FY28, or Is OpenAI Still the Frontier Anchor Microsoft Needs? FOR: MAI-Thinking-1 beating Sonnet 4.6 in blind preference + GPT-5.5 parity at 10x cost efficiency is a frontier-model independence proof point https://www.latent.space/p/ainews-microsoft-build-mai-thinking Build 2026: Accumulating Evidence of Microsoft's AI Independence — EDN (June 4) — https://www.edn.com/build-2026-accumulating-evidence-of-microsofts-ai-independence/ Maia 200 in production + Anthropic-Maia chip talks signal Microsoft is hedging its inference vendor stack https://blogs.microsoft.com/blog/2026/01/26/maia-200-the-ai-accelerator-built-for-inference/ Microsoft canceled Anthropic's internal software licenses + pivoted to chip-supply pursuit — customer-not-competitor positioning https://www.cnbc.com/2026/05/21/anthropic-microsoft-maia-200-ai-chip.html AGAINST: Enterprise Copilot customers explicitly demand GPT-5.5 — internal benchmarks don't replace the brand https://learn.microsoft.com/en-us/microsoft-365/copilot/release-notes?tabs=all MAI-Thinking-1 benchmarks haven't been third-party verified — Microsoft is the only source https://www.latent.space/p/ainews-microsoft-build-mai-thinking The MS-OpenAI partnership is contractual through 2030+ — unwinding it is impractical and expensive https://blogs.microsoft.com/blog/2026/04/27/the-next-phase-of-the-microsoft-openai-partnership/ Microsoft's actual strategic risk is OpenAI leaving, not MS leaving — Anthropic + OpenAI IPOs make OpenAI exit risk the real concern https://www.anthropic.com/news/confidential-draft-s1-sec Bulls & Bears Broadcom (AVGO) Q2 FY26 ACTUALS — Rev $22.19B (Narrow Miss) + EPS $2.44 (Beat); AI Semis $10.8B; Hock Tan Refuses to Raise the $100B Full-Year AI Chip Target — Stock −13% Premarket; Q3 Guide $29.4B https://www.cnbc.com/2026/06/03/broadcom-avgo-earnings-report-q2-2026.html Hewlett Packard Enterprise (HPE) Q2 FY26 ACTUALS — Blowout: Rev $10.68B (+40%), EPS $0.79 (+100%); Juniper Integration + AI Servers Both Outperform; FY26 Guides All Raised; Stock +19% AH https://www.businesswire.com/news/home/20260601866494/en/HPE-Reports-Fiscal-2026-Second-Quarter-Results Palo Alto Networks (PANW) Q3 FY26 ACTUALS — Beat-and-Raise: Rev $3.0B (+31% YoY, Beat $2.94B), Non-GAAP EPS $0.85 (Beat $0.79-0.81); NGS ARR $8.1B (+60% YoY, $1.6B from CyberArk + Chronosphere); RPO $18.4B (+36%); FY26 Revenue + EPS Guides BOTH RAISED; Adj FCF Margin 38.5% TTM (+430 bps); Stock +11% Immediate AH, Then Drifted Lower https://www.paloaltonetworks.com/company/press/2026/palo-alto-networks-reports-fiscal-third-quarter-2026-financial-results CrowdStrike narrowly beats estimates on AI tailwinds, but stock falls 9% — CNBC (June 3) — https://www.cnbc.com/2026/06/03/crowdstrike-crwd-q1-2027-earnings.html
Rassegna stampa economico-finanziaria del 8 Giugno 2026, strutturata per macro-temi e basata sulle principali testate giornalistiche nazionali.Investimenti, Mercati e BancheTestate: Corriere della Sera / Repubblica / La Stampa / Il Messaggero / Il Giornale / Il Fatto / Il Foglio* Il tema dominante è il risiko bancario italiano: Mps, Mediobanca, Banco Bpm, Intesa, Bper, Unipol e Generali sono al centro di una partita che vale assetti di potere, risparmio gestito e governance. Banco Bpm viene accostata a Mps in un'operazione da circa 50 miliardi, mentre Intesa si muove con Bper e Unipol per contenere l'avanzata di Bpm.* Intesa Sanpaolo si conferma il baricentro del sistema: 9,321 miliardi di utile netto, 5,5 miliardi di dividendi, 86 miliardi di nuovo credito, 99,1 miliardi di capitalizzazione, 1.457 miliardi di attività finanziarie della clientela e 883 miliardi di raccolta diretta e risparmio amministrato.* Fondi pensione in forte crescita: il patrimonio arriva a circa 400 miliardi, ma emerge il rischio di rincari commissionali. Indicazione positiva: il settore resta strategico per canalizzare risparmio di lungo periodo verso economia reale e previdenza integrativa.Industria, Tecnologia e DifesaTestate: L'Economia del Corriere / Repubblica Affari&Finanza / La Stampa* Nvidia rilancia la sfida nei superchip, puntando a Microsoft, Dell, HP, Asus e Lenovo, con un posizionamento sempre più centrale nell'infrastruttura globale dell'intelligenza artificiale.* I data center diventano un nodo industriale ed energetico: secondo Repubblica Affari&Finanza, il loro consumo può arrivare a livelli paragonabili a quelli della Francia. È un rischio per reti e approvvigionamenti, ma anche un'opportunità per investimenti in energia, infrastrutture digitali e raffreddamento efficiente.* STM viene letta come caso di transizione: dalla crisi dell'auto alla nuova domanda legata a data center e semiconduttori. Indicazione positiva: l'AI può aprire una seconda fase industriale anche per gruppi europei oggi penalizzati dall'automotive.* Nel comparto difesa, ELT segnala ordini robusti e una domanda strutturale legata alla difesa comune europea. Il messaggio industriale è chiaro: più coordinamento europeo può trasformare la spesa militare in filiere tecnologiche, occupazione qualificata e innovazione.Fisco, Normativa e ConsumiTestate: Il Sole 24 Ore / L'Economia del Corriere* Il Sole 24 Ore evidenzia il dossier affitti: la cedolare sulle foresterie resta in stand-by in attesa della Corte. È un tema rilevante per imprese, lavoratori in mobilità e mercato immobiliare.* Quasi 90 mila negozi sperano nel ritorno della flat tax al 21%: misura che avrebbe impatto diretto su piccoli esercenti, locazioni commerciali e rigenerazione urbana.* Sul fronte riscossione, L'Economia del Corriere ricorda cinque rottamazioni in 10 anni e circa 1.300 miliardi di tasse non riscosse. Il dato segnala un problema strutturale: senza semplificazione e certezza normativa, il rapporto tra Stato e contribuenti resta inefficiente.Inflazione, Tassi e RisparmioTestate: L'Economia del Corriere / La Stampa / Messaggero* L'inflazione dei beni alimentari, casa e cura della persona appare ferma a maggio, ma il quadro resta fragile per il possibile effetto Hormuz su petrolio, trasporti e materie prime.* La Stampa segnala il timore europeo di una nuova spinta inflattiva e ipotizza una BCE pronta ad alzare i tassi. Per famiglie e imprese significa attenzione a mutui, credito, duration obbligazionaria e liquidità.* Indicazione positiva: il raffreddamento temporaneo del carrello della spesa offre spazio alle imprese per difendere margini senza scaricare integralmente i costi sui consumatori.Energia e GeopoliticaTestate: Corriere della Sera / Repubblica / Il Giornale / Domani / La Verità* Medio Oriente e Hormuz restano il principale rischio esogeno per energia e inflazione. Trump frena l'escalation tra Israele e Iran, puntando sulle trattative: per i mercati, la variabile chiave è evitare shock sul petrolio.* Sul fronte Ucraina, la stampa insiste sui negoziati e sugli aiuti europei. Il nodo economico riguarda asset congelati, finanziamenti e sostenibilità della difesa europea.* Il Giornale collega la crisi russa a deficit, sondaggi e petrolio: la pressione finanziaria su Mosca passa anche dal prezzo del greggio. Per l'Europa, la stabilità energetica resta un tema di sicurezza economica.Lavoro, Formazione e Capitale UmanoTestate: L'Economia del Corriere Persone&Talenti / Messaggero* Estate 2026: il turismo e i servizi aprono opportunità di lavoro stagionale, ma il tema resta la qualità dell'occupazione.* Sanità in tensione: il settore cerca 11 mila professionisti, confermando il mismatch tra domanda e offerta di competenze.* Il Messaggero riporta l'intervento sulle buste paga rafforzate contro l'inflazione e un piano giovani. Indicazione positiva: il lavoro torna al centro non solo come costo, ma come leva di produttività, retention e crescita dei consumi.
Is the Samsung Galaxy Book6 Ultra just a flawed MacBook Pro clone? In this episode of the Tech Addicts Podcast, Gareth Myles and Ted Salmon break down Samsung's latest flagship laptop, debate Lenovo's controversial Game Boy-inspired handheld gaming console, and question if Google Drive is actually secure for your sensitive files. Subscribe to Tech Addicts for weekly tech reviews and industry debates: https://www.youtube.com/TechAddicts SHOW NOTES & TOPICS DISCUSSED The Floating City: A look at the ambitious Freedom Ship habitat designed for international waters. Samsung Galaxy Book6 Ultra: Why Samsung's premium laptop misses the mark trying to compete with Apple's MacBook Pro. Beelink 10GbE Mini PC: Beelink makes history by bringing lightning-fast 10GbE LAN ports to budget mini PCs. Asus 12.2-inch Pad: Asus makes a long-awaited return to the Android/Windows tablet space. Chinese Audio Amp Clones: How factories are legally replicating legendary $95,000 audiophile equipment for a fraction of the price. Cloud Storage Privacy: Why relying entirely on Google Drive for your most sensitive documents might be a mistake. Lenovo Handheld Gaming: The truth behind Lenovo's retro Game Boy device and its shady pre-installed games. BARGAIN BASEMENT (Best UK Tech Deals & Discounts) UGREEN Nexode Power Bank (25000mAh) [Deal: £58.97, Was £89.99] Elgato Wave Neo USB Condenser Microphone [Deal: £45, Was £65] ASUS Prime Radeon RX 9070 OC Edition GPU [Deal: £499.99, Was £599.99] UGreen USB-C GaN Charger (65W, Foldable) + Free Cable [Deal: £21, Was £35] DJI Osmo Nano Standard Combo Camera [Deal: £251.10 with voucher] Tessan Tower Extension Lead (10 Metres, Surge Protected) [Deal: £33, Was £43] UGREEN USB C Hub (4-in-1 Magnetic 4K@60Hz) [Deal: £14.98, Was £24.99] Jisulife Portable Handheld Fan (100 Speed, 9000mAh Power Bank) [Deal: £99, Was £109] LISTEN & SUBSCRIBE Main Show Website: http://www.techaddicts.uk RSS Feed: https://techaddicts.libsyn.com/rss Stream on the go: YouTube Music | Spotify | Apple Podcasts | Amazon Music | Pocket Casts | Castbox | Stitcher | TuneIn CONNECT WITH THE HOSTS Join the Community on MeWe: [Insert MeWe Link] Contact the Show: gareth@techaddicts.uk | @techaddictsuk Gareth Myles: Website & Merch: https://garethmyles.com | https://garethmyles.com/ko-fi Socials: Mastodon | BlueSky Ted Salmon: Website & Support: https://tedsalmon.com | https://tedsalmon.com/paypal Socials: Mastodon | Ted's Amazon Page Networked via PodHubUK #TechAddicts #GalaxyBook6Ultra #LenovoGameBoy #GoogleDrive #MiniPC #TechDeals #AudioClones #AsusTablet
Anche le tecnologie più meravigliose non cambiano un'azienda fino a che non sono adottate per modificare un processo o creare nuovi prodotti o servizi. L'intelligenza artificiale non fa eccezione, anzi: l'adozione è una parte integrante del processo creativo. Non è una tecnologia che si compra e si usa: va compresa a fondo, progettata, sperimentata, per potersene fidare. «Con l'intelligenza artificiale si innova e si accelera il business, non ci si limita a limare qualche costo» dice Enza Truzzolillo, ad di Lenovo Italia. «I progetti di valore sono pensati in relazione alle caratteristiche di ogni singola azienda». Ne consegue che l'adozione non è un processo immediato. Una finestra su questa realtà si trova nei risultati della ricerca realizzata da un comitato Giovani Imprenditori della Confindustria in collaborazione con Lenovo e che verrà presentato domani durante il 55° Convegno dei Giovani Imprenditori di Confindustria a Rapallo. Alla survey hanno partecipato 621 imprenditori. La metà di queste aziende è in crescita e il 23 per cento ha una quota di export sul fatturato superiore al 30 per cento. Un quarto di queste aziende ha un fatturato superiore ai 10 milioni di euro: tutte le altre sono più piccole. Ebbene: tra queste aziende solo il 18,7 per cento usa l'intelligenza in modo strutturato, due terzi sono in fase di studio o test. Il 71 per cento ritiene che sia un'opportunità. L'81 per cento valuta che le aziende italiane siano in ritardo rispetto a quelle europee. Il problema centrale è visto nella preparazione del personale. Ci espone la ricerca Enza Truzzolillo, AD di Lenovo in Italia.
Lenovo hat große Wachstumsziele und will sein Geschäftsmodell zukunftssicher weiterentwickeln. Oliver Rootsey, General Manager Deutschland und Österreich, sieht bei dieser Transformation Diversität als Wettbewerbsvorteil. Im Gespräch mit Host Stella-Sophie Wojtczak geht er darauf ein, wie sich die europäische Niederlassung zwischen den Hauptsitzen der chinesischen Firma in Peking, China, und Morrisville in North Carolina, USA, positioniert und welche Werte dabei eine Rolle spielen. Außerdem gibt der Executive Director Einblicke, wie Reverse Mentoring umgesetzt wird und welche Erfahrungen er selbst dabei macht. Feedback für die Episode erreicht uns unter podcast@t3n.de. _Hinweis: Dieser Podcast wird von einem Sponsor unterstützt. Alle Infos zu unseren Werbepartnern findest du [hier](https://linktr.ee/t3npodcast)_.
A national campaign to promote employment for college graduates will run from May to December, targeting the 2026 graduating class as well as unemployed graduates from the classes of 2024 and 2025, according to a notice issued on Tuesday.据周二发布的通知,全国高校毕业生就业专项帮扶行动将于5月至12月开展,帮扶对象涵盖2026届应届毕业生以及2024、2025两届未就业毕业生。The campaign, launched by eight central authorities including the Ministry of Education, urges local governments to make employment for college graduates and other key groups a top priority.本次行动由教育部等八部委牵头部署,要求各地政府将高校毕业生等重点群体就业工作摆在重要位置。The notice calls on local authorities and employers to tap job prospects in industries with a strong growth capacity, including manufacturing and services, and create more positions that fully utilize graduates' knowledge and skills.通知要求各地主管部门和用人单位深挖制造业、服务业等成长性较强行业的就业潜力,开发更多能够充分发挥毕业生学识与专业特长的岗位。Employers from all sectors are encouraged to participate. A centralized job-posting mechanism will be established, with vacancies published across multiple online platforms, the notice said.通知提出,鼓励各行各业用人单位踊跃参与。我国将搭建岗位统一发布机制,在多个线上平台同步发布空缺岗位信息。The campaign will also feature a joint publicity effort, with recruitment and employer-presentation videos released on various platforms to make employment information more accessible to graduates.专项行动同步开展联合宣传推介,在各类平台投放招聘宣讲与企业介绍视频,方便毕业生便捷获取就业资讯。Universities are required to integrate employment education throughout the students' development process. Graduates will be encouraged to participate in online and offline career guidance, skills training and internship programs. The campaign aims to help students develop sound career values, strengthen practical skills and enhance competitiveness in the job market.各高校须将就业育人贯穿学生培养全过程,引导毕业生参加线上线下职业指导、技能实训和实习项目。本次行动旨在帮助学生树立正确职业价值观、锤炼实操本领,提升求职竞争力。Graduates are also encouraged to align their career choices with national development strategies by participating in major national initiatives, serving grassroots communities in urban and rural areas, and working in sectors and regions where they are most needed.同时鼓励毕业生立足国家发展规划择业,投身国家重大项目建设、奔赴城乡基层服务,前往人才紧缺的行业和地区就业。The notice emphasizes strict scrutiny of recruitment information, requiring authorities to verify the authenticity and legality of employer credentials and job postings. Fraud, scams and discrimination — including restrictions based on university prestige, overseas study experience, full-time or part-time status, or previous internships with employers — are strictly prohibited.通知强调从严审核招聘信息,主管部门须核验用人单位资质与招聘信息的真实性、合法性;严禁招聘欺诈、诈骗以及各类就业歧视,不得依托院校档次、海外留学经历、全日制或非全日制学历、过往实习经历等设置招聘门槛。Beijing University of Posts and Telecommunications has regularly invited leading and high-tech companies to campus for seminars, internship partnerships and recruitment events, integrating corporate technologies and industry standards into classroom instruction and practical training, said Zhang Yi, head of the university's employment and entrepreneurship guidance center.北京邮电大学就业创业指导中心主任张怡介绍,学校常态化邀约行业龙头与高新技术企业入校开展座谈、共建实习基地、举办招聘会,把企业前沿技术与行业规范融入课堂授课和实操实训。University leaders have visited major companies, including AVIC Chengdu Aircraft Industrial Group, Lenovo and ByteDance, to expand high-quality job opportunities and deepen cooperation. Leaders from the university and its schools have traveled to 16 provincial-level regions and engaged with 135 employers in key fields such as information technology, artificial intelligence, cybersecurity, quantum communications and aerospace computing to expand employment opportunities for students, Zhang said.张怡表示,校领导带队走访中航工业成都飞机工业集团、联想、字节跳动等优质企业,拓宽优质就业岗位、深化校企合作。学校及各院系负责人先后赴全国16个省级行政区,对接信息技术、人工智能、网络安全、量子通信、空天计算等重点领域的135家用人单位,拓展毕业生就业渠道。In addition, BUPT has developed an AI-powered student growth platform. By analyzing job market trends, student competencies and career preferences, the platform automatically recommends tailored job opportunities and provides personalized career guidance, she said.她补充,北邮搭建了人工智能赋能的学生成长平台,平台通过分析就业市场走势、学生个人能力与求职意向,智能推送适配岗位,提供定制化职业指导。Zhu Qing, deputy head of the employment office at the University of International Business and Economics, said the institution has established talent workstations in Guangzhou, Guangdong province; Sanya, Hainan province and Nanchang in Jiangxi province.对外经济贸易大学就业处副处长朱庆介绍,学校已在广东广州、海南三亚、江西南昌设立驻外人才工作站。The Guangzhou Municipal Commerce Bureau organized 130 employers to participate in a campus job fair, offering more than 6,000 positions, Zhu added.朱庆补充道,广州市商务局组织130家用人单位入校开展专场招聘,提供岗位超6000个。UIBE has also strengthened cooperation with industry associations to improve job matching. The Insurance Institute of Beijing brought 50 insurance companies to campus for a dedicated recruitment fair, while the university's law school hosted a legal-industry job fair featuring more than 20 well-known law firms, he said.学校还深化与行业协会合作,提升人岗匹配效率。北京保险行业协会组织50家保险公司入校开展保险专场招聘,法学院也联合20余家知名律所举办法律行业专场招聘会。"To date, UIBE has held more than 30 job fairs, attracting nearly 2,000 employers and offering more than 70,000 positions on campus, with recruitment presentations held almost daily and job fairs taking place every week," Zhu said.朱庆称:“截至目前,我校已举办30余场校园招聘会,近2000家企业参会,累计提供岗位超7万个,校园招聘宣讲几乎每日开展,每周固定开设专场招聘会。”For unemployed graduates, the university has implemented a "one-student, one-strategy" support program. Measures include establishing individual support records, providing one-on-one follow-up services, pushing targeted job recommendations, offering face-to-face career counseling, providing job-seeking subsidies and organizing regular psychological counseling sessions, he said.针对未就业毕业生,学校落实“一生一策”帮扶方案:建立一人一档帮扶台账、一对一跟踪对接、精准推送岗位、线下职业咨询、发放求职补贴,并定期开展心理疏导。utilize /ˈjuːtəlaɪz/利用,使用vacancy /ˈveɪkənsi/空缺岗位;空位credential /krəˈdenʃl/资质;证件discrimination /dɪˌskrɪmɪˈneɪʃn/歧视;区别对待subsidy /ˈsʌbsədi/补贴,补助
NVIDIA lleva décadas haciendo tarjetas gráficas. Pero esta semana en Computex Taipei ha presentado algo que nunca había hecho antes: su primer chip integrado para portátiles. Lo llaman RTX Spark.¿Es una amenaza real para Apple Silicon? ¿O es solo una promesa más de la industria Windows? Jensen Huang dice que van a "reinventar el PC". ¿Lo dice en serio o es marketing?En este episodio analizamos qué es exactamente el RTX Spark, qué dicen los primeros benchmarks comparados con los M5, qué están haciendo Microsoft, ASUS, Dell, HP y Lenovo con él, y qué significa para el mercado de portátiles que el 100% de la industria Windows se haya alineado detrás de NVIDIA.Sin sesgos. Solo datos, contexto, y algún zasca.#Apple #podcast #tech #iPhone¡Esperamos que os hayan gustado estas noticias! Compartid el episodio con vuestros amigos y encontradnos en nuestro grupo de Telegram y RRSS:Bluesky @menfrentadas.bsky.socialX @MEnfrentadasMastodon @ManzanasEnfrentadas@mas.toThreads @manzanasenfrentadasTikTok @manzanasenfrentadasTelegram @manzanasenfrentadasMúsica de fondo: Helado de Cereza Loop 1Música de https://www.fiftysounds.com
Steam Deck price rises point toward high prices for the new Valve hardware, Lenovo puts its name to a cheap retro handheld and regrets it, Wikipedia management seems to be acting like a typical big tech company and the workers are organising, Bambu pisses off its 3D printer customers and Joe got given a free unrelated 3D printer, and we don’t believe that the Raspberry Pi 6 will arrive as late as 2028. News Steam Deck back in stock, with updated pricing The golden age of handheld gaming is already over [archived] Lenovo pulls its controversial G02 retro handheld from sale – starting a chain reaction that could decimate the retro gaming market Sellers circumvent Lenovo's retro handheld ban with cheap wholesale storefronts Big Tech's Anti-Labor Playbook Has Come for Wikipedia We’re Wiki Workers United, a global solidarity union for the staff of the Wikimedia Foundation Wikipedia editors plot strike and banner sabotage after Wikimedia layoffs Comprehensive Response to Bambu’s AGPLv3 Violations – Software Freedom Conservancy ‘Fuck you, Bambu': How one private message could change the face of 3D printing [archived] No Raspberry Pi 6 before 2028 Don't expect a Raspberry Pi 5 in 2023, says Eben Upton [21st Dec 2022] Introducing: Raspberry Pi 5! [28th Sep 2023] See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here
Christopher Davis and Steven Dickens break down why HPE's (HPE) 21% surge and $5 billion AI systems backlog represent a genuine infrastructure mega-trend, with the Juniper Networks acquisition emerging as a quiet profit driver. They widen the lens to Dell Technologies (DELL), Cisco Systems (CSCO), and Lenovo, making the case that supply chain execution and software integration — not hyperscaler dominance — are the real differentiators in the enterprise AI buildout.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about
Steam Deck price rises point toward high prices for the new Valve hardware, Lenovo puts its name to a cheap retro handheld and regrets it, Wikipedia management seems to be acting like a typical big tech company and the workers are organising, Bambu pisses off its 3D printer customers and Joe got given a free unrelated 3D printer, and we don’t believe that the Raspberry Pi 6 will arrive as late as 2028. News Steam Deck back in stock, with updated pricing The golden age of handheld gaming is already over [archived] Lenovo pulls its controversial G02 retro handheld from sale – starting a chain reaction that could decimate the retro gaming market Sellers circumvent Lenovo's retro handheld ban with cheap wholesale storefronts Big Tech's Anti-Labor Playbook Has Come for Wikipedia We’re Wiki Workers United, a global solidarity union for the staff of the Wikimedia Foundation Wikipedia editors plot strike and banner sabotage after Wikimedia layoffs Comprehensive Response to Bambu’s AGPLv3 Violations – Software Freedom Conservancy ‘Fuck you, Bambu': How one private message could change the face of 3D printing [archived] No Raspberry Pi 6 before 2028 Don't expect a Raspberry Pi 5 in 2023, says Eben Upton [21st Dec 2022] Introducing: Raspberry Pi 5! [28th Sep 2023] See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here
EPISODE 436 Wade Minter, PA for the Lenovo Center in Raleigh, previews Game 1 of the Stanley Cup Finals by Pirate Radio 92.7FM Greenville
In der heutigen Folge sprechen die Finanzjournalisten Daniel Eckert und Holger Zschäpitz über den geheimen Börsenprospekt von Anthropic, die irre Aufholjagd der Softwareaktien und einen ETF, der besser als der MSCI World sein will. Außerdem geht es um Meta, Tesla, Amazon, Alphabet, HubSpot, Asana, Datadog, Salesforce, ServiceNow, SAP, Nemetschek, Atoss, TeamViewer, Nvidia, Arm, Intel, AMD, Fluence Energy, Siemens, nVent, Micron Technology, Hewlett Packard Enterprise, Lenovo, Dell, Strategy, Berkshire Hathaway, Deutsche Post, Merck, Münchener Rück, Rheinmetall, Rocket Lab, AST SpaceMobile, Microsoft, Goldman Sachs, Apple, Broadcom, TSMC, Tencent, Alibaba, Amundi FTSE All World GDP-Weighted (WKN: ETF345). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und – ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html
Die Wall Street startet nach neuen Rekordständen vorsichtig in den Handelstag, mit Tech weiterhin in der Führung. Nach den robusten Zahlen von Lenovo und Dell Technologies hing die Messlatte für Hewlett Packard Enterprise hoch. Um so beeindruckender, dass das Wachstum und die Aussichten derart stark ausgefallen sind. Die Aktie legt über 30 Prozent zu. Auch Google sorgt für Diskussionen: Es sollen 80 Milliarden US-Dollar in Aktien und Wandelanleihen platziert werden, zur Finanzierung der KI-Infrastruktur. Berkshire Hathaway wird davon im Rahmen einer Privatplatzierung 10 Milliarden US-Dollar übernehmen. Damit wäscht eine weitere Welle an neuen Aktien über die Wall Street, noch vor dem Mega-IPO von SpaceX im weiteren Monatsverlauf. Vor dem Opening fachen positive KI-Nachrichten ebenfalls die Aktien von Nvidia, Marvell, STMicro, Microchip Technology und Tencent weiter an. Konjunkturseitig ist der US-Arbeitsmarktbericht am Freitag besonders wichtig. Im Mai sollen über 90.000 Jobs geschaffen worden sein. Ein Podcast - featured by Handelsblatt. ► Entdecke den exklusiven NordVPN Deal! Jetzt risikofrei testen mit einer 30-Tage-Geld-zurück-Garantie: https://nordvpn.com/wallstreet * ► Erhalte einen exklusiven 15% Rabatt auf Saily eSIM Datentarife! Lade die Saily-App herunter und benutze den Code wallstreet beim Bezahlen: https://saily.com/wallstreet +++ Alle Rabattcodes und Infos zu unseren Werbepartnern findet ihr hier: https://linktr.ee/wallstreet_podcast +++ ► Mehr Einblicke: https://bit.ly/360wallstreetpc * Impressum: https://www.360wallstreet.de/impressum *Werbung
Die Wall Street startet nach neuen Rekordständen vorsichtig in den Handelstag, mit Tech weiterhin in der Führung. Nach den robusten Zahlen von Lenovo und Dell Technologies hing die Messlatte für Hewlett Packard Enterprise hoch. Um so beeindruckender, dass das Wachstum und die Aussichten derart stark ausgefallen sind. Die Aktie legt über 30 Prozent zu. Auch Google sorgt für Diskussionen: Es sollen 80 Milliarden US-Dollar in Aktien und Wandelanleihen platziert werden, zur Finanzierung der KI-Infrastruktur. Berkshire Hathaway wird davon im Rahmen einer Privatplatzierung 10 Milliarden US-Dollar übernehmen. Damit wäscht eine weitere Welle an neuen Aktien über die Wall Street, noch vor dem Mega-IPO von SpaceX im weiteren Monatsverlauf. Vor dem Opening fachen positive KI-Nachrichten ebenfalls die Aktien von Nvidia, Marvell, STMicro, Microchip Technology und Tencent weiter an. Konjunkturseitig ist der US-Arbeitsmarktbericht am Freitag besonders wichtig. Im Mai sollen über 90.000 Jobs geschaffen worden sein. Abonniere den Podcast, um keine Folge zu verpassen! ____ Folge uns, um auf dem Laufenden zu bleiben: • X: http://fal.cn/SQtwitter • LinkedIn: http://fal.cn/SQlinkedin • Instagram: http://fal.cn/SQInstagram
Ben and Tom discuss Berkshire Hathaway's $6.8 billion acquisition of Taylor Morrison Homes at a 24% premium as Greg Abel's first big move as CEO and its integration with Clayton Homes for the Sunbelt first-time buyer market, and Nvidia's entry into the Windows PC market with the RTX Spark Superchip in Dell and Lenovo laptops, sending INTC, QCOM, and AMD shares lower.Join our live YouTube stream Monday through Friday at 8:30 AM EST:http://www.youtube.com/@TheMorningMarketBriefingPlease see disclosures:https://www.narwhal.com/disclosure
The Game Deflators break down new pickups, big gaming news, PS6 backwards compatibility rumors, a Steam Deck price jump, and a retro review of Woody Woodpecker on PS2. Chapters: 00:00 Intro 03:34 Game Pickups and Retro Game Books 06:45 Magic Card Collection and Trading Insights 09:44 Valkyrie Profile Gameplay Experience 12:40 Saros Game Review and Gameplay Mechanics 15:33 Upcoming Game Releases and Personal Gaming Plans 18:51 Microsoft's Exclusive Titles and Banjo Kazooie Nostalgia 35:39 Nostalgia and Character Development in Gaming 37:38 The Future of Xbox Exclusives 40:46 Lenovo's Controversial Handheld Console 47:45 Steam Deck Price Hike and Market Impact 54:43 PlayStation 6 and Backward Compatibility 59:42 Woody Woodpecker Game Review and Nostalgia 01:11:12 Outro John and Ryan return with a fresh round of gaming talk, starting with new pickups from RetroGameBooks.com and a look at what each host has been playing. John is closing in on the finale of Valkyrie Profile, while Ryan celebrates completing Saros and shares thoughts on its final stretch. The conversation shifts to community sentiment as Xbox players voice a growing desire for a revival of Banjo Kazooie. The guys break down why the franchise still resonates and whether Microsoft might finally listen. From there, the episode takes a sharp turn into hardware drama. Lenovo has pulled a handheld device that shipped preloaded with Nintendo and Sega games, raising questions about licensing, oversight, and how something like this makes it to market. The Steam Deck also enters the spotlight after a major price hike that has players debating value, timing, and Valve's long‑term strategy. PlayStation rumors heat up as reports suggest the PS6 could support PS3 titles thanks to a new CPU design. John and Ryan explore what this could mean for backward compatibility and how it might reshape Sony's next generation. To wrap up the show, the Inflation Deflation Challenge features a retro review of Woody Woodpecker: Escape from Buzz Buzzard Park on the PS2. The guys revisit its chaotic platforming, oddball charm, and current market value to decide whether it still holds up. Find us on TheGameDeflators.com Twitter - www.twitter.com/GameDeflators Facebook - www.facebook.com/TheGameDeflators Instagram - www.instagram.com/thegamedeflators The views and opinions expressed on this channel are solely those of the author. The content within these recordings are property of their respective Designers, Writers, Creators, Owners, Organizations, Companies and Producers. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted. Permission for intro and outro music provided by Matthew Huffaker http://www.youtube.com/user/teknoaxe 2_25_18
È ancora aperta la partita sul futuro degli sconti sulle accise. A pochi giorni dalla scadenza del 6 giugno, nel governo si moltiplicano le valutazioni su costi e benefici di un nuovo eventuale intervento sui carburanti, senza che sia ancora maturata una decisione definitiva. Dalla primavera a oggi il taglio delle accise ha cambiato più volte intensità: si è partiti da uno sconto consistente, attorno ai 24 centesimi al litro, per arrivare a una progressiva riduzione. Nell'ultimo decreto il governo ha dimezzato lo sconto sul gasolio, portandolo a circa 12 centesimi al litro, mentre per la benzina il taglio è rimasto più contenuto, attorno ai 6 centesimi. Una modulazione dettata dall'esigenza di contenere l'impatto sui conti pubblici: il conto complessivo dell'operazione sfiora i 2 miliardi di euro, una cifra che rende difficile immaginare ulteriori proroghe senza coperture solide.OSPITE: Davide Tabarelli, presidente Nomisma EnergiaSoftBank investe 75 miliardi in Francia per costruire il più grande hub IA d EuropaSoftBank scommette sulla Francia per accelerare la corsa europea all'intelligenza artificiale (IA). Il gruppo giapponese guidato da Masayoshi Son ha annunciato, secondo quanto rivelato dal Financial Times, un impegno fino a 75 miliardi di euro per sviluppare una vasta rete di infrastrutture dedicate al calcolo avanzato, un progetto che, se completato, diventerebbe il più grande complesso di data center per l IA del continente. L investimento rappresenta il più importante impegno nel settore dell'intelligenza artificiale assunto da SoftBank al di fuori degli Stati Uniti e offre un importante successo politico al presidente francese Emmanuel Macron alla vigilia dell'edizione 2026 di Choose France , l evento con cui Parigi cerca ogni anno di attirare capitali e investimenti internazionali.La decisione - secondo il quotidiano britannico - è maturata rapidamente dopo una cena tra Macron e Son svoltasi a Tokyo all inizio di aprile. In quell'occasione il presidente francese avrebbe illustrato i punti di forza del Paese per ospitare infrastrutture ad alta intensità energetica, puntando in particolare sulla disponibilità di energia nucleare e su procedure autorizzative accelerate per gli impianti legati all'intelligenza artificiale. «SoftBank è orgogliosa di assumere questo importante impegno nei confronti della Francia», ha dichiarato Son. Secondo il fondatore e amministratore delegato del gruppo, le capacità industriali francesi, la disponibilità di competenze specializzate e l ambizione nazionale nel settore tecnologico rendono il Paese uno dei candidati più credibili a diventare un polo europeo dell'intelligenza artificiale. Uno dei principali poli sorgerà a Dunkerque, dove SoftBank collaborerà con Schneider Electric per creare un hub dedicato sia alle infrastrutture per l'intelligenza artificiale sia alla produzione di tecnologie robotiche. La posizione geografica del sito, affacciato sul Mare del Nord e vicino a importanti mercati come Londra, Bruxelles e Amsterdam, è considerata uno degli elementi strategici dell'iniziativa.OSPITE: Danilo Ceccarelli, collaboratore del Sole 24 ore da Parigi Easyjet vola in Borsa sulla manifestazione di interesse di CastlelakeEasyjet bolla come "altamente opportunistica la tempistica" con cui la società di investimento Castlelake sta valutando un'offerta per il vettore britannico e afferma di "non aver avuto alcuna discussione, né di aver ricevuto alcun approccio o proposta" dal potenziale acquirente. Venerdì scorso, a Borsa chiusa, Castlelake aveva reso noto di disporre di una quota del 2,1% nel vettore britannico e di valutare un'offerta a non meno di 403,23 pence ad azione. Sul listino di Londra Easyjet balza stamattina dell'11,6% a 444,1 pence. Il board di Easyjet, si legge nella risposta del vettore britannico, pubblicata poco prima dell'apertura di Borsa, "ha chiaro il proprio dovere di massimizzare il valore per gli azionisti e prenderà in considerazione qualsiasi proposta" ponendo attenzione "in particolare alla valutazione e alla fattibilità" dell'operazione. Con riguardo al primo punto il board rileva "il timing altamente opportunistico" di un'offerta nel momento in cui "il prezzo delle azioni è temporaneamente depresso a causa dell'attuale situazione in Medio Oriente e del suo impatto sulla fiducia dei clienti e sui prezzi del carburante". In tema di fattibilità il cda "rileva le considerevoli sfide normative, finanziarie e operative associate a una potenziale acquisizione di easyJet". Andrea Giuricin, Docente di Economia dei Trasporti all'Università Bicocca di Milano, autore di "Alitalia La privatizzazione infinita" Nvidia sfida Intel e Apple con un nuovo superchip per PcNvidia entra nel mercato dei chip per pc con il nuovo RTX Spark Superchip, che debutterà nei pc fissi e portatili delle principali marche dal prossimo autunno. L'annuncio, riferiscono i media internazionali, è stato fatto dal ceo di Nvidia, Jensen Huang, alla fiera Computex a Taipei. Il 'superchip' di Nvidia rappresenta una sfida diretta a gruppi come Intel, Qualcomm, Amd e Apple, aprendo una nuova linea di business per il colosso da 5,1 trilioni di dollari di capitalizzazione. "Il più efficiente chip per pc mai costruito", come lo ha definito Huang, sarà utilizzato da Dell, Asus, Hp, Lenovo, Microsoft, Acer e Msi.Il superchip di Nvidia, che lavorerà con il software Windows di Microsoft, è una combinazione di un microprocessore e di un chip grafico, realizzato con la collaborazione di MediaTek, e consentirà di eseguire applicazioni e modelli di intelligenza artificiale. La sua fabbricazione aumenta la competizione nel settore dei chip per pc e segnala come Nvidia, che occupa una posizione dominante nel settore dei semiconduttori per le infrastrutture di intelligenza artificiale, stia ampliando la sua offerta, sviluppando chip integrati che alimentano l'intero computer, con l'obiettivo di intercettare i flussi di spesa dei consumatori per sostituire pc datati, messi a dura prova dalle nuove applicazioni di intelligenza artificiale, con laptop più performanti.OSPITE: Alessandro Plateroti, Direttore editoriale Ucapital.com
Today's top stories, with context, in just 15 minutes. On today's podcast:1) The US and Iran traded messages over the weekend seeking changes to a draft agreement that would extend a ceasefire and open the Strait of Hormuz, but it was unclear whether the sides were making much progress. As the diplomatic exchanges continued, Israel expanded its ground assault in Lebanon, shattering a brittle truce with its northern neighbor. President Trump said his proposed deal states clearly “that Iran will not have a Nuclear Weapon,” according to a post on Truth Social. Trump hadn’t spoken on the subject of Iran since a White House Situation Room meeting Friday in which he said he expected to announce an agreement. In a social media post earlier that day, he reiterated his demands, including that Iran suspend its nuclear program and fully restore the strait to its earlier status as a free, international waterway. The semi-official Tasnim news agency, which has close ties to the Islamic Revolutionary Guard Corps, said Sunday that both sides continued to propose amendments, but noted that the US and Iran could ultimately reject the changes, causing the deal to collapse.2) Oil rose from a six-week low amid uncertainty over the outlook for a peace deal to end the war in Iran. Brent advanced to around $93 a barrel after closing at its lowest since mid-April on Friday, while West Texas Intermediate rose to near $90. The US and Iran traded messages over the weekend seeking changes to a draft agreement that would extend a ceasefire and open the Strait of Hormuz, but it was unclear if the sides were making much progress. The standoff follows a bout of optimism that some form of peace agreement would be reached — and that energy flows would resume through the Strait of Hormuz — that had caused the first monthly drop in crude prices this year. Brent is still up more than a quarter since the war started at the end of February, as the near-total closure of the vital waterway causes unprecedented turmoil in oil markets.3) Nvidia is entering the personal computer market with a new chip aimed at loosening Intel’s long-standing stranglehold on the sector and modernizing machines for the artificial intelligence era. Starting this fall, the new RTX Spark Superchip will debut in premium laptop and desktop computers from leading brands, including Dell and Lenovo, Chief Executive Officer Jensen Huang announced during a keynote speech at the Computex trade show in Taiwan. Huang also announced that next-generation Vera central processing units will enter full production in the third quarter of this year, marking the company's first standalone data center microprocessor.See omnystudio.com/listener for privacy information.
The RTX Spark chip will appear in Windows PCs from Dell, HP, Lenovo, Microsoft Surface, and other brands this autumn.
Patrick Moorhead and Daniel Newman cover Daniel's acquisition of Enterprise Technology Research, IBM's historic $15 billion single-day commitment spanning quantum and open-source security, Anthropic's Claude Opus 4.8, and the heaviest single earnings night of the season featuring Dell, Marvell, Salesforce, Synopsys, Snowflake, HP, and Micron crossing $1 trillion in market cap. The handpicked topics for this week are: Anthropic Releases Claude Opus 4.8: Six Weeks After 4.7 Anthropic dropped Opus 4.8 just six weeks after 4.7, claiming it surpasses GPT-5.5 and Gemini 3.1 Pro on agentic coding, knowledge work, and computer use. Benchmark improvements across the board: agentic coding up from 64.3% to 69.2%, knowledge work from 1753 to 1890, agentic computer use from 82.8% to 83.4%. Three new features ship alongside it: Dynamic Workflows for multi-subagent orchestration inside Claude Code, Effort Control for managing token spend, and mid-task system messages via the API. Fast mode is now 2.5x faster and 3x cheaper. Pat's honest take: what it says on paper is good, particularly on tool triggering and citation precision, but he has lost significant trust in the company and is watching closely. (The Decode) IBM Commits $10 Billion to Quantum: The Largest Single Quantum Bet in History IBM announced a $10 billion commitment over five years targeting a large-scale fault-tolerant quantum computer by 2029, landing the same day as the $5 billion Project Lightwell announcement for a single-day IBM strategic commitment of $15 billion. Pat has been calling 2029 to 2031 as the realistic commercial quantum window and calls this the strongest single corporate financial signal yet that the timeline is real. Daniel's framing: IBM wants to be the NVIDIA of quantum, and with a $10 billion commitment, it's sending a flare to the entire industry that pure-play quantum companies cannot compete at this balance sheet level. (The Decode) IBM and Red Hat Launch Project Lightwell: $5B to Secure Open-Source Software IBM and Red Hat committed $5 billion and a global force of 20,000 engineers to secure open-source software for enterprises through frontier agentic AI, anchored by 11 of the largest US and Canadian banks including Bank of America, Goldman Sachs, JPMorgan Chase, Mastercard, and Visa. Pat's read: this is the productization answer to Anthropic Mythos. Mythos found the vulnerabilities. Lightwell is the industrial-scale patching and validation layer enterprises can actually buy on a subscription. Daniel adds that IBM is flexing its engineering talent base as a premium strategic asset, a direct counter to the narrative that AI replaces engineers. (The Decode) Anthropic Project Glasswing: 23,000 Vulnerabilities Found Across 1,000 OSS Projects Anthropic's Claude Mythos scanned more than 1,000 widely deployed open-source projects and surfaced approximately 23,000 candidate vulnerabilities, with 1,094 confirmed as critical severity. The Cyber Verification Program now gates the strongest cyber-capable Claude variant behind vetted defenders only. While the tool creates real value, the surface of attack will likely grow as fast as any tool built to defend it. (The Decode) Anthropic in Talks to Run Claude on Microsoft Maia 200 CNBC and The Information reported Microsoft is in active negotiations to supply Anthropic with its custom Maia 200 inference chip, which would make Anthropic the only frontier lab simultaneously running production workloads on four distinct silicon stacks: NVIDIA, AWS Trainium, Google TPU, and Microsoft Maia. Pat's context: Maia 200 delivers 30% better tokens per dollar than the latest Azure fleet per Satya Nadella, and this deal would be Maia's first major external deployment. Daniel's read: what can be built will be sold right now, and Anthropic chasing every available compute source is simply the structural reality of growing at 80x when you planned for 10x. (The Decode) The Flip: Is AI CapEx Too Expensive to Earn Its Return? Pat takes the affirmative. With $725 billion in hyperscaler CapEx tracking for 2026, likely $1 trillion next year, memory has become the choke point making it even more expensive, and open-source models have closed enough of the quality gap for most enterprise tasks that the premium of frontier APIs is increasingly hard to justify. A recent Signal65 white paper shows on-prem payback at 18 months. Daniel's counter: Dell just booked $24 billion in AI orders in a single quarter. Agentforce crossed $1 billion ARR at 169% growth. NVIDIA guided to $91 billion. Only 20% of enterprises are using AI and only 2% of consumers. Both hosts admitted off the flip their notes looked nearly identical. (The Flip) Micron Crosses $1 Trillion Market Cap Micron became the 12th US company ever to cross $1 trillion in market cap, surging 19% on May 26th as UBS raised its price target to $1,625, implying a $1.8 trillion market cap. Samsung's Q1 memory ASP jumped 146% year over year. DRAM spot prices spiked 55 to 60% quarter over quarter. Daniel has been pounding this call since sub-$100 and calls it a cycle elongated beyond anything seen in the 27 prior memory cycles, driven by HBM capacity reallocation away from consumer DRAM creating structural shortage. (Bulls and Bears) Dell Technologies Q1 FY27: The Biggest Enterprise AI Infrastructure Print of 2026 Record $43.8 billion revenue, up 88% year over year, crushing the $35.7 billion consensus by $8 billion. AI-optimized servers at $16.1 billion, up 757% year over year. $24.4 billion in AI orders booked in a single quarter. FY27 AI server revenue guide raised from $50 billion to $60 billion. Non-GAAP EPS of $4.86 beat the $2.96 consensus by 64%. Stock up 18% after hours. Pat's framing: Dell was very clear about what they were going to do. Rack engineering, sales, and service. The basics. And they executed the basics at an extraordinary level while building a special relationship with NVIDIA who views Dell as a market maker for both enterprise and NeoCloud. Daniel's add: play nice and win. Michael Dell navigated the political landscape brilliantly and pulled the entire Dell brand along with him. (Bulls and Bears) Marvell Technology Q1 FY27: Record Revenue, Data Center at 76% of Mix Record $2.418 billion revenue, up 28% year over year. Data center at $1.833 billion, up 27% year over year, now 76% of total revenue. Q2 guide of $2.7 billion at midpoint accelerates growth to 35% year over year. Operating cash flow a record $638.8 million. Daniel went on TV and said it's "written in the stars," arguing the market had misunderstood this one for too long by conflating its custom AI ASIC story with the full breadth of its connectivity and networking portfolio. Pat's closing: the shorts are eating it now and the custom AI ASIC versus merchant GPU debate is finally settling into the right answer, which is both in lockstep. (Bulls and Bears) Salesforce Q1 FY27: Agentforce Crosses $1 Billion ARR Revenue $11.13 billion, up 13% year over year. Non-GAAP EPS of $3.88 crushed the $3.12 consensus by 24%. Agentforce ARR crossed $1 billion, up 169% year over year, with 28.6 trillion tokens processed, up 152% quarter over quarter. 50% of Agentforce bookings came from existing customers expanding. Daniel flagged the $25 billion accelerated buyback funded by new debt as an interesting signal worth watching. Pat's bottom line: it's not perfect, but certainly no "SaaSpocalypse" in those numbers. (Bulls and Bears) Synopsys Q2 FY26: First Full Quarter With Ansys Integrated Revenue $2.276 billion, up 42% year over year, beating consensus. Non-GAAP EPS of $3.35 beat $3.15. FY26 guide raised to $9.665 billion midpoint. Daniel's framing: every chip runs through Synopsys tools, and the Ansys addition makes it the full-stack co-design platform Jensen Huang keeps talking about. Synopsys is not just the pick and shovel of current AI silicon. It is the pick and shovel of quantum, robotics, and space as well. (Bulls and Bears) Snowflake Q1 FY27: Strongest Sequential Dollar Growth in Company History Product revenue $1.33 billion, up 34% year over year, the strongest sequential dollar growth in Snowflake history. Net revenue retention 126%. FY27 product revenue guide raised to $5.84 billion. Natoma acquisition announced for secure agentic enterprise connectivity. New $6 billion multi-year AWS commitment. Daniel's closing: proprietary unique data is the real moat of the agentic era, and that data has to live somewhere. It is going to go to platforms like Snowflake. (Bulls and Bears) HP Inc. Q2 FY26: Eight Straight Quarters of Growth With AI PCs at 44% of Shipments Revenue $14.4 billion, up 9% year over year, the company marks its eighth consecutive quarter of top-line growth. Non-GAAP EPS of $0.86 beat the prior guide. Personal Systems at $10.2 billion, up 13%, with 30% operating profit growth. AI PCs jumped from 35% to 44% of shipments quarter over quarter, with HP guiding to 60 to 70% next fiscal year. FY26 EPS guide raised. Pat's note: they still need a permanent CEO, which would help investors sleep better at night. Daniel's add: the real explosive moment for device companies comes when AI moves to the edge and enterprises shift from expensive frontier model consumption to on-device inference. (Bulls and Bears) Everpure Q1 FY27: Record Revenue, Rebrand Complete Record revenue of $1.1 billion, up 35% year over year. Product revenue $577 million, up 55%. Subscription ARR at $2 billion. FY27 guide raised to $4.41 to $4.51 billion. Pure Storage officially completed its rebrand to Everpure. Daniel's emerging thesis: the agentic era has focused enormous attention on memory and compute, but after the inference runs, the data has to sit somewhere. Storage has not seen its full inflection yet and Everpure is well positioned when that wave arrives. (Bulls and Bears) The Decode Anthropic Releases Claude Opus 4.8 May 28 https://techcrunch.com/2026/05/28/anthropic-releases-opus-4-8-with-new-dynamic-workflow-tool/ IBM Commits $10B Over Five Years to Quantum Computing the Same Day as $5B Project Lightwell, Bringing IBM's One-Day AI https://www.barrons.com/articles/ibm-stock-quantum-computing-aafbb1eb IBM + Red Hat Announce Project Lightwell https://newsroom.ibm.com/2026-05-28-ibm-and-red-hat-commit-5-billion-to-redefine-the-future-of-open-source-in-the-ai-era Anthropic Project Glasswing / Claude Mythos Finds 23,000 Potential Vulnerabilities Across 1,000+ Open-Source Projects https://www.securityweek.com/anthropic-mythos-detected-23000-potential-vulnerabilities-across-1000-oss-projects/ Anthropic Negotiating to Run Claude on Microsoft's Maia 200 AI Chips https://www.cnbc.com/2026/05/21/anthropic-microsoft-maia-200-ai-chip.html OpenAI + Anthropic Walk Back the AI Jobs Apocalypse Ahead of IPOs https://finance.yahoo.com/sectors/technology/articles/ai-chiefs-walk-back-job-193605798.html https://x.com/RiskCentre/status/2059397756016611668 The Flip Is AI Capex Becoming Too Expensive to Earn Its Return — and Will the Result Be a Forced Shift to Open-Source and Smaller Use-Case-Specific Models, or a Continued $725B+ Hyperscaler Buildout That Vindicates the Capex on Productivity Gains? FOR: The shift is to open-source + smaller use-case-specific models with better token economics, not away from AI https://x.com/danielnewmanUV/status/2059822712122400975 DeepSeek 75% permanent price cut + Anthropic Claude Code restriction reversal https://www.buildfastwithai.com/blogs/ai-news-today-may-26-2026 $190B Microsoft capex + $725B+ aggregate hyperscaler capex with no analog ROI yet https://www.buildfastwithai.com/blogs/ai-news-today-may-26-2026 AGAINST: Salesforce Agentforce ARR crossed $1B this quarter on 28.6T tokens processed https://www.stocktitan.net/sec-filings/CRM/8-k-salesforce-inc-reports-material-event-3b8ead2852bb.html Lenovo +105% AI revenue, +84% Q4; Dell $43B AI backlog: the AI infrastructure flywheel is converting capex to revenue today https://investor.marvell.com/news-events/press-releases/detail/1023/marvell-technology-inc-reports-first-quarter-of-fiscal-year-2027-financial-results NVIDIA $91B Q2 guide + $1T Blackwell+Vera Rubin CY25-CY27 reaffirmed https://www.cnbc.com/2026/05/20/were-raising-our-price-target-on-nvidia-after-another-knockout-quarter-and-guide-.html DeepSeek + Chinese price war is a Chinese export-controls story, not a US economic ceiling story https://www.cnbc.com/2026/05/21/anthropic-microsoft-maia-200-ai-chip.html Bulls & Bears Micron (NASDAQ: MU) Crosses $1 TRILLION Market Cap for the First Time https://www.cnbc.com/2026/05/26/micron-stock-trillion-market-cap.html Dell Technologies Q1 FY27 ACTUALS https://www.cnbc.com/2026/05/28/dell-q1-earnings-report-2027.html Marvell Technology Q1 FY27 ACTUALS https://investor.marvell.com/news-events/press-releases/detail/1023/marvell-technology-inc-reports-first-quarter-of-fiscal-year-2027-financial-results Salesforce CRM Q1 FY27 ACTUALS https://investor.salesforce.com/financials/quarterly-results/ Synopsys SNPS Q2 FY26 ACTUALS https://investor.synopsys.com/events-and-presentations/events/event-details/2026/Q2-Fiscal-Year-2026-Earnings/default.aspx Snowflake SNOW Q1 FY27 ACTUALS https://www.businesswire.com/news/home/20260527027931/en/Snowflake-Reports-Financial-Results-for-the-First-Quarter-of-Fiscal-2027 HP Inc. HPQ Q2 FY26 ACTUALS https://finance.yahoo.com/markets/stocks/articles/hp-q2-earnings-call-highlights-230459161.html Everpure (NYSE: P, formerly Pure Storage) Q1 FY27 ACTUALS https://investor.salesforce.com/financials/quarterly-results/ Synopsys SNPS Q2 FY26 ACTUALS https://investor.synopsys.com/events-and-presentations/events/event-details/2026/Q2-Fiscal-Year-2026-Earnings/default.aspx Snowflake SNOW Q1 FY27 ACTUALS https://www.businesswire.com/news/home/20260527027931/en/Snowflake-Reports-Financial-Results-for-the-First-Quarter-of-Fiscal-2027 HP Inc. HPQ Q2 FY26 ACTUALS https://finance.yahoo.com/markets/stocks/articles/hp-q2-earnings-call-highlights-230459161.html Everpure (NYSE: P, formerly Pure Storage) Q1 FY27 ACTUALS https://www.prnewswire.com/news-releases/everpure-announces-first-quarter-fiscal-2027-financial-results-302783502.html
2,5% Zinsen p.a. auf ein unbegrenztes Guthaben mit bis zu fünfmal der gesetzlichen Einlagensicherung*. Auch für Kinder. Das gibt's bei Scalable Capital. Mehr Infos hier. Software-Aktien feiern. Okta springt dank KI-Sicherheit. Lenovo verdoppelt sich. Softbank plant 75 Mrd. € für Rechenzentren in Frankreich. Blue Origin explodiert. Eventim und Costco liefern. Durex leidet in China. Apollo & Blackstone finanzieren. Goldman schätzt WM. DHL (WKN: 555200) landet Milliardendeal mit der US-Post und wird deren zweitgrößter Kunde. Seefracht schwächelt, dafür verdreifacht sich der Umsatz mit KI-Rechenzentren. Dividendenrendite bei fast 4%. 130.000 Mobilfunkmasten, Verträge über 15 Jahre, unter 1% Kundenabwanderung. Cellnex (WKN: A14RZD) ist Europas größter unabhängiger Mastbetreiber. Star-Investor Chris Hohn hält 10% & drückt auf mehr Ausschüttung. Private Equity zahlt deutlich mehr als die Börse. Diesen Podcast vom 01.06.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. Learn more about your ad choices. Visit megaphone.fm/adchoices
Steven Dickens says the tech market is still in the very early stages of a long growth cycle, believing companies like Dell Technologies (DELL) are just beginning to realize their full potential. He also points to continued strength in memory cycles and strong performance from Lenovo and Cisco (CSCO), noting the sector has a long road ahead of it. ======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about
#Podcast #mundial #lenovo #tecnologia #anker PLAYLIST Rolones: https://acortar.link/syEyR7En este video hablamos de IA, tecnología y tendencias digitales: desde Lovable y la postura del Papa León XIV ante la inteligencia artificial, hasta el regreso de “Desde el Teclado” de Matuk. También te contamos sobre el examen en línea de la UNAM, qué pasa con tus cuentas digitales al morir y las novedades de Anker y Lenovo rumbo al Mundial.00:00 Inicio y rola01:17 Patrocinios01:43 Comentarios y “windowseando”06:44 ¿Conoces a Lovable? Te contamos10:29 El Papa León XIV y su postura ante la IA22:57 Regresa “Desde el Teclado” de Matuk27:41 Examen de la UNAM en línea28:39 Hereda tus cuentas y productos digitales al morir31:03 Desde Manhattan, todo lo nuevo de la marca Anker52:13 El Mundial se vive con la tecnología de Lenovo01:08:30 Final
Paul has been testing various Linux distributions and other Windows alternatives for months as part of a Switcher series. The zen of Linux can mostly apply to Windows, too: Install and manage software with package managers, and embrace the command line, especially. And if you're going to use a local account, at least be smart about it. Also, Vivaldi 8.0 looks awesome and appears to deliver what Firefox is promising with its Nova UI. Plus, Discord has a native app for Windows 11 on Arm now. Windows Week D arrives with a surprise: 24H2/26H1 are aligned and getting the same new features Shared audio with BT LE, multi-app camera support, many improvements - but the big deal may be the performance and reliability improvements across the board This is the next Patch Tuesday, today Friday builds - new accessibility features in Experimental and Beta, more Microsoft CMO Yusuf Mehdi to leave company after an astonishing 35-year run - started in Windows, but with IE, Bing & MSN, Interactive Entertainment (Xbox), Windows and Devices, and then a SLT position before the end. Incredible run. Paul has three milestones and one throughline to share. Lenovo revenues surge 27 percent to $21.6 billion NVIDIA revenues really surged 85 percent to $81.6 billion AI/dev Google adds Google Drive sync to NotebookLM, and moves preferred sources into AI Mode and AI Overviews Saying no to AI: DuckDuckGo usage surges in the wake of Google I/O's AI tsunami OpenAI releases ChatGPT plugin for PowerPoint .NET MAUI to get Material You support for Android in .NET 10 Follow-up on last week's vibe coding adventures: Paul talked about this last week, but a lot has happened since then. The Android app creation capability in Google AI Studio is live. A few thoughts on vibe coding with Android Studio, Claude Code, and more Xbox and gaming XBOX—and, yes, it's XBOX now—has an official merchandise store to go alongside all its other official merchandise stores The Steam Deck is back in stock! Also, it's 40 percent more expensive Tips & picks Tip of the week: Understanding the zen of Linux can help a Windows user too App pick of the week: A grab-bag of apps for Windows RunAs Radio this week: Team Productivity using Loop with Karinne Bessette Brown liquor pick of the week: John Sleeman & Sons Rye Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/windowsweekly365 webroot.com/twit
Paul has been testing various Linux distributions and other Windows alternatives for months as part of a Switcher series. The zen of Linux can mostly apply to Windows, too: Install and manage software with package managers, and embrace the command line, especially. And if you're going to use a local account, at least be smart about it. Also, Vivaldi 8.0 looks awesome and appears to deliver what Firefox is promising with its Nova UI. Plus, Discord has a native app for Windows 11 on Arm now. Windows Week D arrives with a surprise: 24H2/26H1 are aligned and getting the same new features Shared audio with BT LE, multi-app camera support, many improvements - but the big deal may be the performance and reliability improvements across the board This is the next Patch Tuesday, today Friday builds - new accessibility features in Experimental and Beta, more Microsoft CMO Yusuf Mehdi to leave company after an astonishing 35-year run - started in Windows, but with IE, Bing & MSN, Interactive Entertainment (Xbox), Windows and Devices, and then a SLT position before the end. Incredible run. Paul has three milestones and one throughline to share. Lenovo revenues surge 27 percent to $21.6 billion NVIDIA revenues really surged 85 percent to $81.6 billion AI/dev Google adds Google Drive sync to NotebookLM, and moves preferred sources into AI Mode and AI Overviews Saying no to AI: DuckDuckGo usage surges in the wake of Google I/O's AI tsunami OpenAI releases ChatGPT plugin for PowerPoint .NET MAUI to get Material You support for Android in .NET 10 Follow-up on last week's vibe coding adventures: Paul talked about this last week, but a lot has happened since then. The Android app creation capability in Google AI Studio is live. A few thoughts on vibe coding with Android Studio, Claude Code, and more Xbox and gaming XBOX—and, yes, it's XBOX now—has an official merchandise store to go alongside all its other official merchandise stores The Steam Deck is back in stock! Also, it's 40 percent more expensive Tips & picks Tip of the week: Understanding the zen of Linux can help a Windows user too App pick of the week: A grab-bag of apps for Windows RunAs Radio this week: Team Productivity using Loop with Karinne Bessette Brown liquor pick of the week: John Sleeman & Sons Rye Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/windowsweekly365 webroot.com/twit
Paul has been testing various Linux distributions and other Windows alternatives for months as part of a Switcher series. The zen of Linux can mostly apply to Windows, too: Install and manage software with package managers, and embrace the command line, especially. And if you're going to use a local account, at least be smart about it. Also, Vivaldi 8.0 looks awesome and appears to deliver what Firefox is promising with its Nova UI. Plus, Discord has a native app for Windows 11 on Arm now. Windows Week D arrives with a surprise: 24H2/26H1 are aligned and getting the same new features Shared audio with BT LE, multi-app camera support, many improvements - but the big deal may be the performance and reliability improvements across the board This is the next Patch Tuesday, today Friday builds - new accessibility features in Experimental and Beta, more Microsoft CMO Yusuf Mehdi to leave company after an astonishing 35-year run - started in Windows, but with IE, Bing & MSN, Interactive Entertainment (Xbox), Windows and Devices, and then a SLT position before the end. Incredible run. Paul has three milestones and one throughline to share. Lenovo revenues surge 27 percent to $21.6 billion NVIDIA revenues really surged 85 percent to $81.6 billion AI/dev Google adds Google Drive sync to NotebookLM, and moves preferred sources into AI Mode and AI Overviews Saying no to AI: DuckDuckGo usage surges in the wake of Google I/O's AI tsunami OpenAI releases ChatGPT plugin for PowerPoint .NET MAUI to get Material You support for Android in .NET 10 Follow-up on last week's vibe coding adventures: Paul talked about this last week, but a lot has happened since then. The Android app creation capability in Google AI Studio is live. A few thoughts on vibe coding with Android Studio, Claude Code, and more Xbox and gaming XBOX—and, yes, it's XBOX now—has an official merchandise store to go alongside all its other official merchandise stores The Steam Deck is back in stock! Also, it's 40 percent more expensive Tips & picks Tip of the week: Understanding the zen of Linux can help a Windows user too App pick of the week: A grab-bag of apps for Windows RunAs Radio this week: Team Productivity using Loop with Karinne Bessette Brown liquor pick of the week: John Sleeman & Sons Rye Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/windowsweekly365 webroot.com/twit
Paul has been testing various Linux distributions and other Windows alternatives for months as part of a Switcher series. The zen of Linux can mostly apply to Windows, too: Install and manage software with package managers, and embrace the command line, especially. And if you're going to use a local account, at least be smart about it. Also, Vivaldi 8.0 looks awesome and appears to deliver what Firefox is promising with its Nova UI. Plus, Discord has a native app for Windows 11 on Arm now. Windows Week D arrives with a surprise: 24H2/26H1 are aligned and getting the same new features Shared audio with BT LE, multi-app camera support, many improvements - but the big deal may be the performance and reliability improvements across the board This is the next Patch Tuesday, today Friday builds - new accessibility features in Experimental and Beta, more Microsoft CMO Yusuf Mehdi to leave company after an astonishing 35-year run - started in Windows, but with IE, Bing & MSN, Interactive Entertainment (Xbox), Windows and Devices, and then a SLT position before the end. Incredible run. Paul has three milestones and one throughline to share. Lenovo revenues surge 27 percent to $21.6 billion NVIDIA revenues really surged 85 percent to $81.6 billion AI/dev Google adds Google Drive sync to NotebookLM, and moves preferred sources into AI Mode and AI Overviews Saying no to AI: DuckDuckGo usage surges in the wake of Google I/O's AI tsunami OpenAI releases ChatGPT plugin for PowerPoint .NET MAUI to get Material You support for Android in .NET 10 Follow-up on last week's vibe coding adventures: Paul talked about this last week, but a lot has happened since then. The Android app creation capability in Google AI Studio is live. A few thoughts on vibe coding with Android Studio, Claude Code, and more Xbox and gaming XBOX—and, yes, it's XBOX now—has an official merchandise store to go alongside all its other official merchandise stores The Steam Deck is back in stock! Also, it's 40 percent more expensive Tips & picks Tip of the week: Understanding the zen of Linux can help a Windows user too App pick of the week: A grab-bag of apps for Windows RunAs Radio this week: Team Productivity using Loop with Karinne Bessette Brown liquor pick of the week: John Sleeman & Sons Rye Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/windowsweekly365 webroot.com/twit
Paul has been testing various Linux distributions and other Windows alternatives for months as part of a Switcher series. The zen of Linux can mostly apply to Windows, too: Install and manage software with package managers, and embrace the command line, especially. And if you're going to use a local account, at least be smart about it. Also, Vivaldi 8.0 looks awesome and appears to deliver what Firefox is promising with its Nova UI. Plus, Discord has a native app for Windows 11 on Arm now. Windows Week D arrives with a surprise: 24H2/26H1 are aligned and getting the same new features Shared audio with BT LE, multi-app camera support, many improvements - but the big deal may be the performance and reliability improvements across the board This is the next Patch Tuesday, today Friday builds - new accessibility features in Experimental and Beta, more Microsoft CMO Yusuf Mehdi to leave company after an astonishing 35-year run - started in Windows, but with IE, Bing & MSN, Interactive Entertainment (Xbox), Windows and Devices, and then a SLT position before the end. Incredible run. Paul has three milestones and one throughline to share. Lenovo revenues surge 27 percent to $21.6 billion NVIDIA revenues really surged 85 percent to $81.6 billion AI/dev Google adds Google Drive sync to NotebookLM, and moves preferred sources into AI Mode and AI Overviews Saying no to AI: DuckDuckGo usage surges in the wake of Google I/O's AI tsunami OpenAI releases ChatGPT plugin for PowerPoint .NET MAUI to get Material You support for Android in .NET 10 Follow-up on last week's vibe coding adventures: Paul talked about this last week, but a lot has happened since then. The Android app creation capability in Google AI Studio is live. A few thoughts on vibe coding with Android Studio, Claude Code, and more Xbox and gaming XBOX—and, yes, it's XBOX now—has an official merchandise store to go alongside all its other official merchandise stores The Steam Deck is back in stock! Also, it's 40 percent more expensive Tips & picks Tip of the week: Understanding the zen of Linux can help a Windows user too App pick of the week: A grab-bag of apps for Windows RunAs Radio this week: Team Productivity using Loop with Karinne Bessette Brown liquor pick of the week: John Sleeman & Sons Rye Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/windowsweekly365 webroot.com/twit
This week on Next Portable Console, RG Rotate anticipation, a newish Powkiddy handheld, Pictonico and an MCON beta app, plus surprising Lenovo news. Also available on YouTube here. Links and Show Notes The Latest Portable Gaming News Taskmaster Anbernic RG Rotate Anbernic RG Rotate Powkiddy Royabilla Powkiddy Royabilla (P36S) Pictonico! Website Trailer Also mentioned: Face Raiders Super Mario Run (iOS) Fire Emblem Heroes (iOS) Animal Crossing: Pocket Camp Complete (iOS) MCON Controller App MCON MCON iOS Beta Also mentioned: Backbone Dusklight Lenovo's Low-End Handheld Is Real and It Releases Bigger, Premium Android Tablets Lenovo Responds To That "Fake" Handheld - Yep, It's Official & Illegally Loaded With Games Lenovo launches Legion Y900 gaming tablets with 11 and 13 inch screens Subscribe to NPC XL NPC XL is a weekly members-only version of NPC with extra content, available exclusively through our new Patreon for $5/month. Each week on NPC XL, Federico, Brendon, and John record a special segment or deep dive about a particular topic that is released alongside the "regular" NPC episodes. You can subscribe here: https://www.patreon.com/c/NextPortableConsole Leave Feedback for John, Federico, and Brendon NPC Feedback Form Credits Show Art: Brendon Bigley Music: Will LaPorte Follow Us Online On the Web MacStories.net Wavelengths.online Follow us on Mastodon NPC Federico John Brendon Follow us on Bluesky NPC MacStories Federico Viticci John Voorhees Brendon Bigley Affiliate Linking Policy
SpaceX filed its public S-1 with the SEC, revealing 2025 revenue of $18.7 billion — up 33% year over year — anchored by Starlink's $11.4 billion connectivity segment. The Goldman-led syndicate is targeting a $1.75 to $2 trillion valuation, more than double the December 2025 tender offer mark, with a Nasdaq debut under SPCX as early as June. If it prices at range, it will be the largest IPO in history.Cerebras just had one of the biggest tech IPO debuts in years. The AI chip company listed at $185, opened at $350, and closed up 68% at $311 — giving it a roughly $95 billion valuation and making it the largest U.S. tech IPO since Uber. The AI hardware window is officially open, and the market is now treating non-NVIDIA AI infrastructure as a real public-market category.Cisco shocked the market with a major AI infrastructure guide. Revenue hit $15.84 billion, AI infrastructure orders were lifted from $5 billion to $9 billion for fiscal 2026, and the stock jumped 15%. The same day, Cisco cut 4,000 jobs to fund the pivot. The AI capex boom is no longer just NVIDIA — it is spreading into networking, optics, security, and the second layer of the infrastructure stack.The Trump-Xi Beijing summit ended without a formal AI deal. The U.S. cleared major Chinese companies including Alibaba, Tencent, ByteDance, JD, and Lenovo to buy up to 75,000 NVIDIA H200 chips each, but Beijing paused the orders almost immediately. AI infrastructure is no longer just a company-level decision — it is now a geopolitical bargaining chip.Google disclosed the first confirmed AI-built zero-day exploit used in the wild. The attack targeted a two-factor authentication flow in a widely used open-source system administration tool, and Google says the planned mass exploitation event was stopped before it scaled. The cybersecurity impact of AI is no longer theoretical — AI is now accelerating both offense and defense.Inflation came in hot again. April CPI rose 0.6% month over month, the Fed held rates at 3.50-3.75%, and markets are now pricing a higher chance of a rate hike than a cut. And yet the S&P 500 still closed above 7,500, while the Nasdaq and Dow also hit major levels. The AI trade is overpowering the macro signal — for now.Runner-up: Anthropic and the Gates Foundation signed a $200 million four-year partnership directing grants, Claude credits, and engineering support toward global health, K-12 tutoring, and smallholder-farm agronomy. The deal lands the same week Anthropic absorbed Colossus 1 and signed Google for $200 billion in TPUs. The model lab is becoming an infrastructure-scale institution.Runner-up: VoltaGrid raised $1 billion from Blackstone and Halliburton at a $10 billion-plus valuation to build behind-the-meter power systems for AI data centers. Power, not just chips, is becoming one of the biggest constraints in the AI boom.Runner-up: Amazon is reportedly preparing another 14,000 corporate layoffs, which would bring 2026 reductions to roughly 30,000 jobs if confirmed. The AI labor reduction cycle is widening across Big Tech.Runner-up: A former Google engineer was convicted of stealing TPU trade secrets after transferring more than 500 confidential files tied to Google's AI chip architecture and software stack. It is one of the clearest legal templates yet for AI-era intellectual property enforcement.If you want a prize, send us a DM:instagram.com/rickerandbontiktok.com/@rickerandbonyoutube.com/@rickerandbon
Photo by Michael Martine: The Bean in Millennium Park, Chicago, IL, June 2019 Published 25 May 2026 e555 with Andy, Michael and Michael – Ploopy's The Bean and Lenovo's TrackPoint, The Guild, The Movie, AI in commencement speeches, AI in podcasts, Virtual Worlds and Virtual OS museums and a whole lot more! Andy, Michael and Michael get things started with an appreciation of Andy's work to migrate the Games at Work hosting site to a new service in uninterrupted fashion for our listeners. Next, a new piece of open source hardware that Andy's purchased, the Ploopy The Bean. After the cohosts wax poetic on the awesome sauce that is the TrackPoint, they turn their attention to The Guild. Felicia Day and the team from The Guild are planning to launch a movie. Andy, Michael and Michael are very excited about this! Switching to AI, and all of the recent stories about how university commencement audiences have been booing speakers extolling the virtues of AI, the team considers Woz's take on AI being “Actual Intelligence”. This reference is cheered and not booed. Continuing on the theme, the cohosts discuss a recent play by Spotify of providing an authentication for podcasts recorded by actual humans (with actual intelligence). This spurs a lively conversation on what that validation might entail, and what it means, especially given the prevalence of AI generated audio content. The team wraps up the show with a couple of virtual museums – one shared by friend of the show Ian Hughes – the Virtual Worlds Museum. The cohosts all agree that Ian would make a fantastic spokesperson for this museum. The other is a virtual OS museum. Finally, Andy shares a tremendous social networking graph that traces letters sent between 285 cities during the years from 1363 to 1412, Check it out, and give a listen to the song from Natasha, Pierre and the Great Comet of 1812 for how the Russians would write letters in the links below. What would be a good name for AI generated podcast content? Podslop? Have your bots
Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets!On the product side, everyone is getting Computer - Perplexity, Manus, Cursor, and so on. Meanwhile on the research side, agentic evals like TerminalBench and GDPVal are also assuming computer (Harbor). On both ends, the consolidating LLM OS stack has become a standard toolkit, and Daytona is one of a small set of AI Infra companies that are booming because of it.“The end of localhost” has been Ivan Burazin's obsession for more than a decade.Something that is all too familiar…Long before agents became the default way people talked about software development, Ivan was already chasing the idea that development should not depend on a fragile local machine. CodeAnywhere, one of the first browser-based IDEs, was an early attempt at that future: move the development environment into the cloud, make setup reproducible, and free developers from the endless “works on my machine” tax.The thesis was directionally right, but the market wasn't ready yet.However, agents changed that. They do not care about a laptop, desk setup, or favorite editor. They need a computer they can access through an API: something stateful enough to keep working, fast enough to spin up instantly, flexible enough to resize, isolated enough to be safe, and composable enough to run the messy real-world workflows that real software engineering actually requires.Daytona isn't just selling “sandboxes” in the narrow code-execution sense. It is the latest version of Ivan's original localhost thesis.In this episode, Daytona's CEO joins swyx to explain why AI agents need more than code execution boxes: they need composable computers, stateful sandboxes, instant startup, dynamic resources, and infrastructure that can survive workloads going from zero to 100,000 CPUs.We go deep on the new agent compute market: Daytona's hard pivot from human dev environments to AI sandboxes, the New Year's Eve MVP that customers begged for, why Daytona runs on bare metal with its own scheduler, how one customer runs almost 850,000 sandboxes a day, and why RL/eval workloads went from 0% to roughly 50% of usage in just months. Ivan also explains why agents need Windows and macOS machines, why CLI may matter more than MCP, why Kubernetes is painful for this workload, and why the future AI cloud may look more like Stripe than AWS.We discuss:* How Daytona grew out of CodeAnywhere, Shift, and the “end of localhost” thesis* Why Daytona pivoted from human dev environments to AI sandboxes* Why agents need composable computers instead of disposable code execution boxes* The New Year's Eve MVP that customers chased API keys for* Why Daytona chose bare metal, stateful snapshots, and its own scheduler* How Daytona spins up one sandbox in ~60ms and 50,000 sandboxes in ~75 seconds* Why Daytona's biggest customer runs ~850,000 sandboxes a day* How RL/eval workloads create zero-to-100,000 CPU spikes* Why RL workloads went from 0% to roughly 50% of Daytona usage* Why customers compare Daytona against EKS/GKS and say they're “never going back”* Why every AI agent may need a computer, including Windows and macOS environments* The Apple licensing constraints that make macOS sandboxes hard* Why CLI gives agents more power than MCP* How open source helps agents integrate Daytona* Why agent-generated PRs may break today's CI/CD assumptions* Why AI SaaS companies reselling tokens may face a cold shower* Why the AI cloud may look more like Stripe than AWSIvan Burazin* LinkedIn: https://www.linkedin.com/in/ivanburazin* X: https://x.com/ivanburazinDaytona* Website: https://www.daytona.io* X: https://x.com/daytonaioTimestamps* 00:00:00 Hook* 00:01:12 Introduction* 00:03:15 CodeAnywhere, Shift, and the end of localhost* 00:05:58 What Daytona is: composable computers for AI agents* 00:08:07 The pivot from dev environments to AI sandboxes* 00:10:17 The New Year's Eve MVP and customers begging for API keys* 00:12:56 Bare metal, stateful sandboxes, and Daytona's scheduler* 00:17:28 60ms startup, 50,000 sandboxes, and 850K daily runs* 00:21:53 Spiky RL/eval workloads and the new agent infra problem* 00:28:12 RL workloads, Kubernetes pain, and dynamic resizing* 00:33:31 Why every AI agent needs a computer* 00:38:48 macOS sandboxes and Apple's licensing problem* 00:44:28 Why CLI may matter more than MCP* 00:48:11 Open source, GitHub stars, and agent integration* 00:53:11 Git, CI/CD, and agent collaboration bottlenecks* 00:58:15 Founder life and building a 25-person infra company* 01:02:44 AI SaaS, token resale, and API-first business models* 01:06:10 GPU sandboxes, data centers, and compute growth* 01:09:48 Why the AI cloud may look more like Stripe than AWS* 01:11:26 Closing thoughtsTranscriptIntroduction: Daytona, CodeAnywhere, and the End of LocalhostSwyx [00:00:02]: Okay, we're in the studio with Ivan Burazin, CEO of Daytona. Welcome.Ivan [00:00:07]: Thanks for having me, man.Swyx [00:00:08]: Ivan, you and I go back.Ivan [00:00:10]: Way back.Swyx [00:00:11]: How I don't even know how, you found, did you reach out or, for Shift.Ivan [00:00:17]: I reached out to you. The reason was you - we were just - we were thinking about I was one of the co-founders of CodeAnywhere, the first browser-based IDE, and so we were thinking a long time of, localhost should die. And you had this article.Swyx [00:00:29]: End of localhost.Ivan [00:00:30]: Then I reached out to you because of that, and then we talked, and I was actually at a different job and learning about I was the head of, developer experience, and you were quite well-versed in that, and I actually reached out to you, among other people, how do we go about that? What are the key things and whatnot at this point in time? And you were nice enough to take the call, and I remember I was late on your call with you.Swyx [00:00:51]: I don't remember.Ivan [00:00:52]: I remember because I was with my then I'm thinking of a girlfriend or wife at that point in time, I'm not sure. It's the same person, so that's great, and I was late ‘cause we were, in, Italy on, vacation, and then I was late for something. I felt so bad, and you were so nice to be, good about.Swyx [00:01:10]: The reason I'm nice is because I'm also late to other people, so it's like, who's, who's without sin here, yeah, so I have to, for those who don't know, InfoBip Shift, there's this whole thing that, you did in the past, and, and that was basically one of the inspirations for me starting AI Engineer, which is like, I have to thank you for giving me that push to be like, “Oh, you can, you can build and sell conferences?”Ivan [00:01:34]: I remember you asked you asked me at the beginning to give me advisory shares, and I was so focused on what we were doing, I said no, and I should've took the advisory shares. So I'm sorry, dude. But anyway.Swyx [00:01:43]: We're not, we're not venture backed.Ivan [00:01:44]: No, it doesn't matter.Swyx [00:01:45]: It's Yeah, anyway, so I think what's impressive about you is that CodeAnywhere is the thing that you've been trying to build, and, you kind of put it on hold and then came back after InfoBip. Just give us the story, do you - the story and the origin story, going into Daytona.From CodeAnywhere and Shift to DaytonaIvan [00:02:05]: Sure. Like, really way back, me and my co-founder have been together. I say this, I've said this multiple times, it's like we were married and divorced and married. Some people actually ask me is my co-founder my partner. they thought it literally. It's not literally, but we have done multiple companies together, and to your point, we had this shift where we went from the CodeAnywhere to the conference called Shift, and then back to, Daytona. We originally started stacking servers, doing like virtualization in the early 2000s and, routers and doing basically all these things, at a foundational level, and that was a services company which we sold to focus on what my co-founder actually invented, which was the very first browser-based IDE, right, I say the first. Before us was actually Heroku. They did it for a very short time until they became Heroku. But outside of them, we were the only one, and it was called.Swyx [00:02:55]: There was Cloud9.Ivan [00:02:57]: Cloud9 came out slightly after us. There was Replit, which came out when we stopped doing it, Replit came out, and they have been successful since then, which is great. There was Nitrous.io. There was quite a few that existed at the time, but it was like too early. But the interesting part is that we, at that point in time, because there was no VS Code, there was no Kubernetes, and Docker had just started when we Or I'm not sure if it was even public at that point in time. And so we had to build everything to the whole stack ourselves and that was the key learning that we brought into and that we've been using in Daytona today. So it was super early. There's about 3 million people used CodeAnywhere. It was slightly, it was angel-backed more than venture-backed. We ended up paying everyone back because it didn't have that sort of scale. But, three years ago, we started something similar with Daytona, which is not what we are today, but it was automating dev environments for human engineers, the basically the underlying stack of CodeAnywhere. And then we did a hard pivot last January to sandboxes. And so here we are.Swyx [00:04:01]: Historic pivot, yeah, and, it's one of those things where, I had independently invested in CodeAnywhere, but also in E2B, and then both of you pivoted into the same thing, and I'm like, “F**k.”Ivan [00:04:12]: You invested, you invested in Daytona. You invested in Daytona. But you were the first If we had not got your check, we wouldn't have done it.Swyx [00:04:18]: No way.Ivan [00:04:19]: No, it was like, “We have to get him on board first,” and you were that kicker that we, that got us off the ground.Swyx [00:04:23]: No, because you were putting me on your pitch deck, man. I was like, “Man, this is like a good trip if I don't invest.”Ivan [00:04:29]: That's because it was your quote. It's like we.Swyx [00:04:30]: Yeah. It's the end of localhost.Ivan [00:04:31]: Did a bunch of research about end of localhost and who was interested in that,.Swyx [00:04:34]: No, that's like, I put, I wrote that blog post, and every single company in that field reached out to me, and then every VC who was receiving those pitches then also had to call me and, talk it, talk through it with me.Ivan [00:04:47]: It's finally happening though.Swyx [00:04:48]: It was really super interesting.Ivan [00:04:48]: It's finally happening.Swyx [00:04:49]: It's finally happening.Ivan [00:04:49]: Yeah, it's finally.Swyx [00:04:49]: It's finally happening, with maybe sort of non-human users. Yeah, so what is Daytona today? Let's get like a quick description. I'm wearing the shirt.What Daytona Is Today: Composable Computers for AI AgentsIvan [00:04:58]: You're wearing the shirt. Yes,.Swyx [00:04:59]: It says, I think your branding is very good. Like, it's very consistent. It runs AI code. Like, it cannot be simpler.Ivan [00:05:05]: Exactly, but we're gonna probably have to change that.Swyx [00:05:07]: Oh, s**t.Ivan [00:05:07]: It's also a subset of what we do. Unfortunately, we really love this, Run AI Code is super simple. People interpret it different ways. I think we've given out 5,000, 6,000 of these shirts. People wear them with pride because it doesn't really market about us.Swyx [00:05:21]: Yeah, Daytona's on the back.Ivan [00:05:22]: It markets the back. It markets to the person itself, so I think we did a really good job on that one. But it is also a subset of what we do, because people, when they think about Run AI Code, they just think about these small, let's call it isolates, code execution boxes that, you send some code, you get an output. Whereas what Daytona is today is essentially composable computers for AI agents. It is, the market calls them sandboxes which can be misleading.Swyx [00:05:44]: All these things. All these things on.Ivan [00:05:45]: Yeah, exactly, ‘cause it can be misleading ‘cause people usually think about sandboxes as a demo or a test environment versus a production-grade environment. But what Daytona does, if you think of the laptop that you have in front of you or the computer that's over there, or, my wife is an architect, so she has like a Windows with a 3D graphics card inside to do 3D rendering. Like, as humans, we have different computers or different compositions of computers. And our belief is strongly that agents today and going forward will need all these different compositions of computers to do different types of tasks. And so we offer that basically through an API.Swyx [00:06:19]: Yeah, to give people - I'm trying to sort of front-load all the aha moments or the wow moments so that people can, stay engaged and click like and subscribe. the market is exploding, right? Like, you have been reporting 74% month-on-month growth, and it also, it's just been growing for a while. Like, it's been going like this. And every single - It's not just you guys. It's every single.Ivan [00:06:41]: Everyone, yeah.Swyx [00:06:42]: Sort of, compute provider. I don't know if you agree with me saying compute provider or not.Ivan [00:06:48]: It's fine.Swyx [00:06:48]: Yeah. So like organically PLG-driven growth, but also enterprise is doing super well, I think I wanna rewind to January of last year when you did the pivot. Like, so you obviously called this market early, and you were positioned for it, and you are now one of the market leaders. But what was the insight that made you do the pivot?The Pivot: From Human Dev Environments to Agent SandboxesIvan [00:07:06]: The insight that made us do this pivot is the quarter before that, so end of 2024, when we had - Basically, we did a demo with - I don't I think we discussed this as well, Devin was not public. You actually gave me access to Devin at that time. So Devin.Swyx [00:07:25]: I did?Ivan [00:07:26]: Yeah, you gave me access.Swyx [00:07:26]: I don't think I was supposed.Ivan [00:07:27]: Yeah, exactly.Swyx [00:07:28]: Yeah, I.Ivan [00:07:28]: So it doesn't matter. You.Swyx [00:07:29]: Yeah. I gave like three friends access.Ivan [00:07:31]: Yeah, or it was a call and you showed it to me. It doesn't matter. but OpenDevin was available, which is now called OpenHands. And so we're like, “Oh, this seems to be a thing. This is not public. Let's take our for human automation of dev environments and take, OpenDevin and launch that as a SaaS.” And we did that. Not very many people signed up and used it, but a lot of people reached out that were building agents, and they were like, “Hey, my agent needs a compute sandbox runtime,” whatever you wanna call it. I forgot what it was called at that point. And then we were like, “Oh, amazing. This is a new market. Here is our infrastructure. Here's our product, and go.” And what we found really fast, soon, was that people did not like what we had built. It didn't work. And I remember talking to people at the beginning when we're doing this, the sandbox we're building for agents. People were like, “Oh, why is it different? It's the same thing. We have like EC2, we have VMs, we have all these things.” But we saw that everyone we gave it to, it was like 20, 30 people, they all said, “No.” Like, “This is not what we need. This sort of breaks.” And basically, me and my co-founder not knowing a lot about - ‘cause we're infra people. We're not AI people. So I basically took it upon myself to like watch every single podcast that exists, including all of, all of these and all that, and sort of get up to date, read all the blogs, like get, understand what's going on.Swyx [00:08:45]: Do you wanna shout out who else was useful, just in case people are also looking.Ivan [00:08:49]: Generally we -, I looked at There's a few of podcast, different segments and different types. So there's you guys, No Priors, Bill Gurley's was great while.Swyx [00:09:04]: VG2, yeah.Ivan [00:09:05]: Yeah, while it was around. So there's a few. 20VC is interesting from a different dynamic, and some are different dynamic. But there was, also Red Points.Swyx [00:09:14]: We're not really about the compute market.Ivan [00:09:15]: It was also already - Sorry?Swyx [00:09:16]: You're, you want - You're looking at the agent infra market.Ivan [00:09:19]: I was looking at the agent market and the AI market in general and sort of understanding who are the players, what the perception, and how that goes. And like obviously you complement this with like going to conferences, going to events, going to meetups, reading white papers, like doing all the things that you have to do to understand what's happening. And so when we figured, when we sort of had an idea of what we had to build, literally over the New Year's Eve, literally on New Year's Eve, I half vibe coded the first MVP, first minimal viable product of what Daytona is today. And I went to sleep at like 3:00 AM or something like that. I was doing - I just put my like baby daughter and wife to sleep and, Happy New Year's, and go back to just, doing this. And I sent it to my co-founder, my CTO, and he saw it in the morning. He's like, “This is absolute garbage.” “Do not show this to anybody at all, but the idea is good.” And so he took two weeks, and he rebuilt it.Swyx [00:10:09]: Did it like look like that? Listen, I - It was rough idea.Ivan [00:10:12]: Oh, not even, not even close. Like it was it was way worse. But it was like a very - It was a simplistic view of what it should be. Like, it worked, but it was not ideal. And so he went, we went down the whole, which is his job as CTO, to go, and he came back with this version. We then called all the people that had said like, “This is garbage,” a quarter ago. And we set up these calls, and we gave it to - We just demoed it to everyone. And all the calls went long, every single one. They were 15-minute calls, and they all went to like 25, 30 minutes or whatnot. And everyone said, “We need, we want access.” There was no login, just an API key, ‘cause it was just a beta or an alpha. And they said, “Oh, we want access.” And we're like, “Sure, yeah. Okay, thank you very much.” But after like the next day, if we'd not send it, every single one, like every call that we did, everyone came back, “Where is my API key?” Like everyone wanted it. We're like, “S**t.” Like this is it. Like I've never felt So one, the understanding to your point was like most people thought it was the same infrastructure for humans and agents. We understood a quarter ago it's not. We just didn't know what was the right primitive. And then when we came, and we can talk about what that is, and we gave it to these people, I've never seen, I've never experienced - I've done multiple companies in my life. I've never experienced this, that people literally call you if you do not give them access. Like they want access right now. And so it's like, okay, they don't want this. the thing that they want doesn't seem to exist, or they have not found it, and they really want what we want. And then when we understood that we're onto something, and then when you think about the size of the market, like the market for human engineers and enterprise is a very large market, so think GitLab or whatnot. But the market for every single agent that will exist ever in the future is just like, what is that market? How big is that? And we're like, “We are all in on this.” And so that is where we made sort of the cut between the old product and the new one.Bare Metal, Stateful Sandboxes, and the Lambda + EC2 ModelSwyx [00:12:02]: Yeah. But it wasn't composable at the time?Ivan [00:12:05]: It was very - It was basically just a Linux box that you could change, that you could define number of CPUs, disk, and RAM. Like that is what you could do, but you couldn't have multiple operating systems, you couldn't resize it on the fly, you couldn't add a GPU, you couldn't do like all the things. It was just the, just the first sort of variation of that, yeah.Swyx [00:12:22]: Was it bare metal from the start?Ivan [00:12:24]: It was bare metal from the start. And so the interesting thing that we thought about right away, so our.Swyx [00:12:29]: Which, give people the background, what is the normal path?Ivan [00:12:32]: Yeah, so, basically most providers run this on top of VMs. And also.Swyx [00:12:37]: Firecracker.Ivan [00:12:38]: Yeah, they run on Firecracker and VM. And so we also fire - We can get - We have multiple isolation layers and we can do that. But the common way to do it is that they, one, that the state of the machine, or the hard disk is not part of the sandbox itself. And the other thing is they're not meant to last forever. So most of them are preemptible, like they can There's a time that they can live. And so our thought was when we were going into this is, agents will be like humans in the sense of you don't want your laptop to be shut down until you're done with work. Like, and you want to close the lid and open the lid, it's the same state. So you - Agents would want that, like the pause and come back. They want those two things. But also agents really want speed, right? Can they get it? So when we thought about it's like we need something insanely fast, how to make it fast, how to make it long-running, and stateful. And so those two things, it's like combining a Lambda and an EC2, right? Those two things together. And so we didn't have an idea how others did it, ‘cause we didn't know too that there was a market around this. It was more like, okay, this is what we need, what they need. And we looked at Kubernetes, it wasn't wasn't good enough for that. We looked at Nomad, it didn't enable that. And so our history in rewriting our own scheduler at CodeAnywhere is basically what my CTO came up with. Like, he's like, “Oh, the learnings from there,” and he brought it. And the funny thing is, our third co-founder, when he saw it, he's like, “Dude, what is this? This is like 2008.” Like, we went back in time, and he's like, “Exactly.” And so the reason why Daytona is like super fast, and you see this on benchmarks, is we essentially, we run on bare metal. We have our own scheduler, we use the underlying, disk, CPU, and RAM of the underlying machine, which means your IOPS are insanely fast because there's no, there's no network between an EBS or something like that. But also the snapshot, the point in time, the templates, are also preloaded on the bare metal machines. So when you fire off a sandbox from a template or a snapshot, you're essentially directed to the bare metal machine where that snapshot is based on that NVMe drive, and then it literally just turns on that machine, and it's local. There's no network latency, anything on there. And so that is sort of the specificities that we, when we're thinking from first principles, what a computer would look like for an agent, that is what we came up with, and that's what we created.Benchmarks, 60ms Startup, and 50,000 SandboxesSwyx [00:15:02]: Yeah. I should maybe, I don't know if you endorse this, but there's someone that does compute SDK, you guys do very well on there, with like the TTI, right? I. is this a, is this a is this a relevant benchmark for you guys? I don't know.Ivan [00:15:16]: I don't know, and it changes every day. So today RKL is.Swyx [00:15:18]: I don't know what RKL is. Never heard of it.Ivan [00:15:20]: Yeah. RK, yeah, so it is there.Swyx [00:15:22]: You are, at least a third of the next tier of performance, and then, there's a lot of other better-known names that are very slow to start.Ivan [00:15:31]: Yeah. We've been the number one by far for a long time, and now there's different, there's different definitions also of sandboxes, different isolation patterns, different other things. So RKL runs it literally on the S3, the data, so it's very different, and they spin up a sandbox, spin up a container for that, so it's a different type of thing. So the definition of a sandbox is something that we can all, we all need to get along with. But yeah, we're insanely fast on getting these things, up and running. And so you can see even there that it's a zero point 0.10 to 0.11, so.Swyx [00:16:03]: Close enough. Yeah. what else do you need, right?Ivan [00:16:05]: Yeah. So the benchmarks itself, so, in this, in I don't think the benchmarks equate to market ownership or revenue or anything like that. and I've seen this with multiple benchmarks, not just in sandboxes, but in general benchmarks around.Swyx [00:16:20]: It's table stakes. It's just like.Ivan [00:16:21]: Exactly. But it doesn't hurt.Swyx [00:16:22]: Just roughly check.Ivan [00:16:22]: Like you definitely have to be up there and you have to be competing so that people know that, oh, this is definitely one of the top. Because this is only one dimension of what customers look for. There's other things like how many can you spin up consecutively? There's a feature set, there's support, there's like all different things that people look at, but you definitely have to be there, on the benchmarks.Swyx [00:16:40]: How many people do people spin up consecutively?Ivan [00:16:43]: So we have.Swyx [00:16:43]: Or concurrently, is the Concurrency, right?Ivan [00:16:45]: There's three metrics that we look at. And so one is like time to spin up one, and so our time to spin up one is 60 milliseconds with network latency. So request, spin up, reply, 60, the whole thing, 60 milliseconds. That is one. But if you wanna spin up 50,000 at once, we are now at about 75 seconds. So it takes about 75 seconds to spin up concurrently 50,000. Some others, there's public data around this, like take 2,000 seconds, which is 30 minutes. Like there's different variations of that. And then there is the so it is speed of one, speed of like multiple, and then how many can you consistently have up and running. And so we basically have right now no limit to how much we can add because we basically own our own metal. But the biggest customer of ours does like about 850,000 every single day is sort of where they're, where they're just shy of a million every single day that they're running, we do have a request for half a million concurrent, which is literally half a million CPUs somewhere running. So that's an interesting.Swyx [00:17:44]: They pay by like vCPU seconds.Ivan [00:17:47]: By seconds, yeah.Swyx [00:17:47]: Or whatever. Yeah. Okay, and so and then, and the other thing is, the sleeping and the resuming, ‘cause it's all the stateful resumption of all these things, how, what kind of workload are people putting through this, right? Like how is it Do we measure by gigabytes in memory, gigabytes in storage? I don't In like network attached storage. I, what are the costly ones of, out of all these features?Workload Economics: CPU, RAM, Network, and StorageIvan [00:18:15]: The most expensive thing are CPU.Swyx [00:18:18]: Okay. Yeah, of course.Ivan [00:18:18]: The second one, yeah Then it's RAM, then it's disk. We actually don't charge.Swyx [00:18:22]: Which is snapshotting, right?Ivan [00:18:23]: No, it's actually the, snapshotting's part of it, but basically the size of your hard disk, of your machine. So do you have 10 gigabytes, do you have 20, do you have 50, do you have whatever? And then the transference of that. Right now, currently we don't charge for, network at all at Polychron.Swyx [00:18:37]: Oh, you gotta, yeah, you gotta fix.Ivan [00:18:38]: Yeah. It is very much a it's a larger and larger part of our bill, so we're working around, that part there. Obviously, that is the least, expensive, so the hard disk is the least expensive, so it's basically CPU, RAM, for us network, ‘cause we don't charge the customer, and then hard disk, is how it's split up. But there's also different types of workloads, so we basically split it up into two types of workloads in Daytona. One is what we call background agents or long-running agents. and the other is, basically RLs and evals, which I put sort of together. And so they have very different patterns of usage, and if you look at the usage of a background And I'll just name names of companies, not specifically.Background Agents vs. RL/Evals: Two Usage ShapesSwyx [00:19:21]: Yeah, open, all hands.Ivan [00:19:23]: Yeah. So like a background agent's a Cognition, a Lovable, a like all these things are Harvey. These are all long-running, background agents. And so if you look at their usage patterns, their usage patterns are similar to human, which is like follow the sun. Basically, the usage patterns of that is like noon is probably the highest, and the midnight is the lowest, and then weekends are lower. weekday is higher.Swyx [00:19:42]: Yeah, that's a fun question. How global is it? Is it very US-centric or?Ivan [00:19:46]: The US is a large part, but we have currently, we have Asia, Europe, and the US regions.Swyx [00:19:52]: So it's quite global.Ivan [00:19:53]: Yeah, it's quite global. We have it all over. It's interesting that our I talked to you a bit about this. Our number one city by user.Swyx [00:20:01]: Hmm.Ivan [00:20:02]: Is Singapore.Swyx [00:20:04]: Oh, wow. Amazing.Ivan [00:20:05]: Which is an interesting one, right? Not by revenue, just by just like by individual head count.Swyx [00:20:09]: Really?Ivan [00:20:09]: Just like an interesting thing.Swyx [00:20:10]: Singapore is, Singapore is weirdly high in the adoption charts of AI for the population. It's like an, seven, eight million population. And it's like keeps showing up.Ivan [00:20:20]: No, it's quite interesting. We were quite shocked, and I was like, “Oh, this is interesting.” And also one that's up there.Swyx [00:20:24]: There's a reason I'm doing AI using Singapore. it's because I'm from there.Ivan [00:20:27]: We're there. We're gonna, we're gonna be there as well. and it's interesting that Japan is in the top or like Tokyo's in the top, which is in all the tech cycles it has never been. It has never been, so it's quite interesting that they're.Swyx [00:20:39]: I think the Japanese just love AI. Yeah. It's that, and then it's Brazil. That's it.Ivan [00:20:44]: Brazil has always been in.Swyx [00:20:45]: I think.Ivan [00:20:46]: Even when I look, if you look at like GitHub's data and ask historically with CodeAnywhere, it was always like US, Western Europe, and then you'd have like India, Brazil, China, like that would be there. But like Singapore was not in, specifically Japan was never in sort of that top, that top.Swyx [00:21:01]: Yeah. Weird pockets.Ivan [00:21:01]: Weird. Yeah, so it's very global.Swyx [00:21:02]: Okay, so actually that, but that's helps you to distribute your load through, all time?Ivan [00:21:08]: The interesting thing is like we have those kind of loads, but if you look at the researcher loads, they're quite different. So what they are is like if you give them concurrency of 10,000 or 50,000 or 100,000 CPUs at ARMb, when they fire off a run, it's just 100%. And then it just runs, and then it stops. So it's very, the usage pattern is squares basically, right? And it's also not follow the sun, because people will fire it off at midnight before they go to sleep but then wake up and so it's very unpredictable, so you don't know where that is. So the shapes of the usage are quite different than we have had before. And also what's interesting is when it's sort of a follow the sun, even if you have a high growth company, you can sort of predict your usage patterns and have enough capacity for that, because it's sort of, it grows in a, in a way you can project. When you have companies doing sort of like evals and RL, they're super spiky. So they're gonna come in, it's like, “We're gonna use nothing, then can we have 100,000?” Right? And then go back down. And then 100,000, go back down. So it's very different, right? And.Swyx [00:22:09]: Do you want to lock them into commits so.Ivan [00:22:11]: Yeah, we do.Swyx [00:22:12]: Yeah, okay.Ivan [00:22:12]: We so we have to lock them into some sort of commits to have that capacity, because we have to have, basically we have to have the capacity for peak. Right? And so right now, Daytona's mean utilization is 15%, 1-5.Swyx [00:22:25]: Oh my God.Ivan [00:22:26]: So it's very low.Swyx [00:22:27]: Because it's very spiky.Ivan [00:22:27]: It's very spiky, but we get up to 90%. so we have these things. And so what we're, what we're looking at right now as a company is similar to Cloudflare where you can like geo move things around, but that works really well for basically the background agent where it's follow the sun. But this, it's not. Like it's a very different shape. Obviously with scale you figure these things out, but that's an interesting new problem that we have, as a compute provider in the agent space. And when we were doing the conference recently, and so we talked to like Nikita from Neon and.Swyx [00:22:57]: I should bring it up.Ivan [00:22:58]: Parag from Parallel and whatnot, everyone has the same problem. Whereas the usage is super spiky, and this is something that has not happened before, that you have these types of like it was always, it the amplitudes were not this high, right? So it's quite interesting use case and problem solve.Compute Conference and Spiky Agent InfrastructureSwyx [00:23:12]: Yeah, I don't know if we're gonna bring this up again, but let's just talk about the conference, you had like 1,000 something people at the Warriors game, at the Sorry, where is it? What's.Ivan [00:23:22]: Chase Center.Swyx [00:23:23]: Chase Center.Ivan [00:23:23]: Chase Center.Swyx [00:23:24]: I went. It was, it was very impressive. Obviously, you can, how to throw a conference, what did you learn? you put, you pulled together all these impressive names.Ivan [00:23:33]: What I.Swyx [00:23:34]: What were you looking for?Ivan [00:23:35]: My thesis behind the Compute Conference was let's bring together people that are building infrastructure for AI agents. Because when I think of what we're building, it is the agent is the primary user, what are the ergonomics and usage patterns of agents, and so we can do that. And what I found, this was a theory, it wasn't proven, is that we all have these problems, as I touched onto. And I was, as I was talking on stage, it was like we all have the same underlying infra problems, which is this spiky workloads, unpredictable workloads that we've never had before, in human, compute or human infrastructure. And it's, again, it's the same when I was talking to Parag or when I was talking.Swyx [00:24:20]: Lynn. Nikita.Ivan [00:24:21]: Lynn, Nikita. Lynn especially, I was talking to her the other day as well. Like the It is a very interesting type of problem to solve because I can touch on Cloudflare because there's a lot of like talk about that recently as to how they solve that, which is they have a bunch of geos, and basically, as users work in different places, and depending on your tier, they can move you around the geos. And so that how, that's how they get the higher utilization. But you can sort of predict these, and it's If it's something in You'll rarely get a spike that is 10 orders of magnitude. Like you'll get a like let's say one of your customers has some like an exponential curve. What is that to I'm using Cloudflare as an example. 10%, 20%, whatever it is. I don't, I don't have this data, I'm just assessing. It's surely not 10x, right? It's surely not something there. And so how do you go out and solve this problem? And we're all solving this in different ways. So we have.Swyx [00:25:11]: She also has the same thing.Ivan [00:25:12]: Yeah, I know specifically that like Neon had that issue as well. Like how are we solving these spiky loads and things like that ‘cause we talked about it. And so the interesting thing for me to actually internalize was, yes, everyone that's building for agents first is going through this, and we're all solving similar problems, which is quite.Swyx [00:25:28]: Let me let me double-click on this. Okay. So for example, Neon, I happen to know that they're very sort of S3 oriented, right? so they're just like fully bet on S3. And you get to benefit from S3's distribution and infrastructure. So I would imagine that Neon doesn't have to care, whereas Lynn maybe has to care a bit more because obviously she's doing GPU inference. And, for listeners, we did an episode with her, one and a half years ago. And you have to care. But like, right?Ivan [00:25:54]: Parag cares for sure, and Nikita.Swyx [00:25:58]: And Parag is C of, Parallel.Ivan [00:25:59]: Parallel, yeah.Swyx [00:26:00]: Former CTO of Twitter.Ivan [00:26:01]: Twitter, yeah.Swyx [00:26:02]: They are the search.Ivan [00:26:03]: Yeah, they're search, yeah.Swyx [00:26:03]: I You and I know but the listeners don't know.Ivan [00:26:08]: Yeah, we can put it down in the screen, and so ‘cause we, when we were talking.Swyx [00:26:11]: I'll put it up on the, on the screen.Ivan [00:26:12]: Yeah, right.Swyx [00:26:12]: People can look it up if they need.Ivan [00:26:14]: Look it up. And, yes, but they still have CPU and RAM, allocation that you have to have up and running. And so CPU and RAM, you have to allocate that and have that ready. And so there's basically two ways to do it. One is you either over-provision and you can handle the bursts, or two, you basically have, I don't know if this is a term, just-in-time compute, which is like as your load becomes, as your usage comes in, you can fire off requests for VMs or bare metals at other cloud providers and then get them up and running.Swyx [00:26:43]: This is if you go above 100%, right?Ivan [00:26:45]: Yeah, this is.Swyx [00:26:46]: Like your overflow.Ivan [00:26:46]: If your overflow, like spillage or whatever you do.Swyx [00:26:48]: You probably lose money on it, but it doesn't matter, right?Ivan [00:26:50]: It, not Well, you might, you might not That is a more cost-effective way to do it but it's a slower way to do it. Because basically what you have to do is you have to like queue your requests, spin up these just-in-time compute, get it all ready, provision it, and then get your workload there. And so if the time isn't important that much, that's fine, and you can do that. But if your customer, and especially for, let's say, the RL training runs, the reason why a lot of people come to us is because GPUs are more expensive than CPUs, right? So you want your GPU running at, what, 100% the entire time. And so when you're running runs on CPUs, when the when the CPU cycle is like down and spinning up the next one, you want that to be instantaneous so that your GPU doesn't go down, right? And if you then have to like go out and provision machines, you're essentially telling the GPU that it has to wait, and that's incurring our cost. So there's things that you have to try to solve for there.RL Workloads, Declarative Images, and Kubernetes ReplacementSwyx [00:27:43]: Yeah, let's talk about the different workload, right? You said that, what was it? A few months ago, you had zero RL workload and now it's 50%.Ivan [00:27:52]: It will be this one, 50%, yeah.Swyx [00:27:54]: Let's talk about how different it is, right? Like I imagine, for example, a lot less dynamic code generation of like arbitrary code. Like here, it's probably all the same code. You're just doing parallel runs or something, I don't know.Ivan [00:28:05]: Yeah. So you'll have multiple Depends on the like for each run, you'll have a snapshot. And they, for the most part, they actually do use our declarative image builder, which is like, “Oh, we, the agent wants these dependencies, these env vars.”Swyx [00:28:17]: These ones, yeah.Ivan [00:28:18]: Yeah, the declarative image builder, it.Swyx [00:28:20]: Which is a very modal like thing that they.Ivan [00:28:22]: Yeah. And so we build it on the fly and then we propagate that snapshot, and you can spin up as many sandboxes as you want against that snapshot. And then if you have to do changes, the model can, or like it could be also be automated. It's like, “Oh, now for the next run, we need to install these things or remove these things or whatever to get, a task done,” and then it goes off and runs that. So yes, that is something that it seems that they prefer. The number one reason I found, or should I say, let's take a step back. What we are competing against in that environment is essentially managed Kubernetes. So EKS, GKE, whatever. That is what the vast majority run on. And anyone that has tried Daytona versus GKE, EKS is like, “I'm never going back.” That has always been. There's a few reasons. One is the ergonomics. So if you have, if you're using Kubernetes to spin that up, you have to essentially manage the interface interactions with that. Daytona, although as a compute provider, it's more akin to a Twilio and Stripe from a consumption perspective than it is an AWS. Like you have an API, an SDK, it's quite like easy and seamless to get these things up and running, that's one. The other is the speed to which we spin up, which we mentioned earlier, which is much faster, and the scale to which we can go to. We haven't got into features, but an interesting feature is that it's very hard to OOM, or out of memory, our sandboxes, because we can dynamically on the fly.Swyx [00:29:48]: Resize.Ivan [00:29:49]: Resize, which is like impossible on almost any other thing. There are some technologies that enable you to do that, but it's like a very hard thing. And so we actually saw this when, the Terminal Revenge team is, brought us actually. So thank you, Alex and the team, that brought us into this whole space.Swyx [00:30:05]: It's just very rare that, a framework would just say, “Guys, just use Daytona.”Ivan [00:30:11]: Yeah, I think it says it somewhere. Yeah.Swyx [00:30:13]: Yeah. I was like, “What is this?”Ivan [00:30:15]: There's all, there's multiple there, but they also mention a few other places. and so Daytona specifically-We have, the, just jumping on themes here We, I don't know where it says Data Center.Swyx [00:30:27]: I, there.Ivan [00:30:27]: Doesn't matter.Swyx [00:30:28]: There's a very strong recommendation, which is, very unusual. Which is, it's.Ivan [00:30:33]: We do not pay them for this, just.Swyx [00:30:34]: I know, yeah. They just like you.Ivan [00:30:35]: Yeah, they like us. yeah, and also a thing, so, Data Center has multiple isolation sets underneath. The customer doesn't have to know what they are. But basically we have Docker, which is a container, that's hardened with Sysbox. So it's Docker's, isolation that is a security equivalent to a VM, but it's still a container. And that is the default, and they, especially in these training workloads, really like that as an interface to be able to use just a basic Docker container, and we enable Docker and Docker. Which for these RL runs, if you need to do a Docker compose or Kubernetes, you can spin up a K3S inside of these things, which unlocks a huge amount of workloads that you can do that you cannot do on other providers. So just on that part is much more interesting. And so we went that, through that. We showed them that we could do that, and they enjoyed that quite a bit. They being the general venture people.Swyx [00:31:28]: Those people, yeah.Ivan [00:31:29]: And Harbor people.Swyx [00:31:29]: Harbor people, do are they, are they a company yet?Ivan [00:31:33]: As far, I do not know.Customer Pull, Slack Connect, and the Computer Use BetSwyx [00:31:35]: Okay. All right. Yeah. It's like super obvious that like, there's a lot of excitement and success around these things, okay, so yeah, tell us more, right? Like, this is an exploding workload, Harbor adopted you, which helped speed things along. But what are you learning as this new workload comes online?Ivan [00:31:53]: There's a couple things that we learned, which we chat about in the beginning. We, and this has led our story, as we mentioned, we like talked to a lot of customers along the way, and we add more features and more tool sets as we talk to customers. And it's interesting that And I think it's that the ecosystem is so small and/or the models get smarter, where when we see one user come with a request, we know it goes on a roadmap if like three to five customers come with the same request in that week. It's like very bizarre. It happens so many times, which is.Swyx [00:32:27]: Because they're all friends.Ivan [00:32:28]: Sorry?Swyx [00:32:28]: They all, they're all friends. They're all in the same group chat.Ivan [00:32:30]: Yeah, probably, yeah. ‘Cause and they're like, “Oh, can you do this?” And I'm like, “Okay, this is interesting. We'll put it on a feature request.” And then the next one's like, “Oh, can you do this?” “Okay.” It's all the same, right? It's always the same. And so what we try to do, and I personally try to do, I try to be on as many call, quote-unquote “sales calls” I can. I'm in every Slack channel. We literally have about 1,000 Slack Connect channels, something like that. It's an interesting, there's so many interesting things you find out when you have all the Slack channels. You can also see where people, transfer between companies. You see leave Slack channel, enter Slack channel. It's an interesting thing. Also, just I digress, I feel that Slack Connect is literally LinkedIn what it should be. You have a list.Swyx [00:33:08]: LinkedIn charges you to, use your own connections, but Slack doesn't, right? Slack is like, do it for free. It's more lock-in. It's great.Ivan [00:33:15]: Yeah. It's amazing. Yeah. It's one of the reasons.Swyx [00:33:17]: You're gonna pay Slack for life.Ivan [00:33:18]: Exactly. You're there for life. So that's interesting. And so one of the things, the newer things we were talking about earlier is we made a big bet and put a lot of investment on computer use. that is not seen publicly the light of day. We haven't GA'd that yet, but we have.Swyx [00:33:32]: Is there a thing I can pull up?Ivan [00:33:33]: There is computer use there. It's right up a bit.Swyx [00:33:36]: Oh, yeah. Okay.Ivan [00:33:38]: What we have, what we talked about and what we've seen publicly is there's this theme now about, the human emulator where And Elon from XAI has talked about this publicly, and if you think about the models today, they're actually quite sophisticated and they can do a lot of work, but they still don't have access to all the tools. Like, I'm a strong believer that the most efficient way for an agent to work is essentially headless or through, terminal or whatnot. But if we, if we look at knowledge work in general, there's about 100 million knowledge workers in the US, about a billion in the world, and knowledge workers, and the salaries of them aggregate to 10 trillion in the US 50 trillion worldwide.Swyx [00:34:24]: Wow.Ivan [00:34:25]: Something like that. And if we look at, the five most important sectors of that, so like healthcare and government and financial services and whatnot, that's about 56% of that. So let's say it's about half of that. So in the US it's about 25 trillion, and most of them, most of that work is actually still locked into legacy apps inside of Windows, which is not going anywhere for a very long time. Like, people just won't invest in that. How much of it? our assumption is the following: if, in the RPA market, which is similar market, well, not the same 25% of, these white collar, workers', work is automated. If an agent is more sophisticated, can go through more runs, figure stuff out, let's say it's, 40%, right? And so if you take 40% of that, you get to essentially, $10 trillion a year.Swyx [00:35:17]: That's a TAM.Ivan [00:35:18]: That is a that is a TAM. So that's the TAM of the models, right? That's not our, essentially ours. But you get to that size, and to be able to do that, you essentially have to give agents these computers with the legacy. So computer use, either Mac or Windows or Linux. Linux we also obviously have and others have. But Windows specifically is something very new, and the only option right now is an EC2 with, Windows or on Azure. Both of them take anywhere from three to five minutes to spin up. We've created an actual sandbox, so it's a second instead of milliseconds, but you have, point in time snapshots, you have, forking, you have all the things that you have from a sandbox, but essentially enables you to hopefully unlock all this value. And so that's been our big push and bet, but we've sort of, kept our ear to the ground. What is sort of the next things in the market?RPA Returns: Why Agents Still Need ComputersSwyx [00:36:06]: Yeah, knowledge work, and building, and sort of RPA, the next wave of RPA. I got very excited about RPA kind of during COVID times. The UI path was IPO-ing. And it was, a very hot Isn't it, Eastern European?Ivan [00:36:20]: It is, Romanian.Swyx [00:36:21]: Romanian?Yeah, it might be the only Romanian, big unicorn okay, yeah. This I don't I don't, I don't have like a I think there's, I think there's a stage being set for the resurgence of RPA, ‘cause everyone understands that, yeah, no one wants to deal with these shitty apps and no one's gonna rewrite them. Like, you just have to do, a remote operation and programmatic operation of them.Ivan [00:36:45]: If you wanna unlock it, my own setup was basically the following. So I was doing a board deck recently, last month, whatever, and I'm like, “Okay, let's just, let's just do automated.” So, all our data's in, ClickHouse and PostHog and QuickBooks, where everyone else's is, and I'm basically, connected that all to, my Cloud code, like go off and go Cloud code whatever. Go off and, here's the integrations, go do that. It pulled out the first report, which was great. It connected to Brex and all these things, pulled it, which was great, and then I say, “Okay, now pull out this, and this,” and I kept getting, really well McKinsey-style design reports, but the data said partial data. all the missing data, partial data. Like, it can't access all the things, and I got so frustrated, and so I got, I got, my Mac Mini virtual sandbox with OpenClaw. I gave it its own account in our company, and then I went to all these services and created a read-only account, so literally like an intern in your company. And so I would say, “Now go and do this report,” and it would get the same, or like, “I can't via the MCP or the API or whatever. I can't get all the information.” I'm like, “Go log in.” And it will log into the website, then go in, export the data. It'll export the data and do the thing end to end. So even for things that have today APIs, not all of it is exposed, and I to get value, I get immense value right now, but it has to be a computer usage, unfortunately, and so I spend a bunch of tokens just on that, but I get the job done. And so if even a startup like ours, and using all the hottest tools, still needs a computer agent what hope does, Goldman have to have a headless, right?Swyx [00:38:22]: Yeah, what a - Why isn't Microsoft doing this?Ivan [00:38:27]: I'm pretty sure, Satya had a post yesterday.Swyx [00:38:29]: Oh, okay. I see.Ivan [00:38:29]: Which was like, “Every agent needs a computer.”Swyx [00:38:31]: I see, I see.Ivan [00:38:32]: So they have launched something recently.Swyx [00:38:34]: Yeah, they have Microsoft Power Automate, I'm sure, I'm sure, they're gonna have their version.macOS Sandboxes, Apple Constraints, and the Windows OpportunityIvan [00:38:39]: Version of that, yeah.Swyx [00:38:39]: You're gonna try to do yours, and it - I always know there's always demand for Mac, but I know it's, tricky to host, macOS sandboxes.Ivan [00:38:49]: We will have macOS sandboxes fairly soon. The problem with macOS, OS sandboxes is, I'm deep in this, I don't know how much interesting is.Swyx [00:38:55]: No, it's.Ivan [00:38:56]: MacOS has this problem.Swyx [00:38:57]: It's a licensing thing, right?Ivan [00:38:58]: Licensing thing. So one, you're allowed to run only two parallel VMs per machine, so that's one. Two, you can only license to a different user every 24 hours. So if you come in and theoretically, if I wanna charge you per second and I charge you one second, I have to have it idle for the rest of the day. I can't have anyone else doing that. So the pricing will be different in the sense that I will have to - we would have to charge for 24 hours, and that's not even, that's not even the most difficult thing. But the, thing above that is, from a security perspective, they enable you to do memory snapshot, pause, resume, but only on the same physical drive, physical machine. And so what you can do in, Windows world or Linux world is that I can move in the background, your snapshot from one to the other and manage load, right? Here, if you wanna do that, you essentially have to have your.Swyx [00:39:49]: Yeah, snapshots. Yeah.Ivan [00:39:50]: Your.Swyx [00:39:51]: It's like.Ivan [00:39:51]: Physical machine.Swyx [00:39:52]: You can't break it up.Ivan [00:39:53]: You can't, you can't move things around that, and all of that is, that part is, from a security standpoint, if it is written. Like, I understand the security aspect of that, but it disables you from doing these agentic, like really scalable agentic workloads.Swyx [00:40:08]: You need to do a vibe-coded, clean room implementation on macOS that you can then - That's like Clean OS or something. I don't know.Ivan [00:40:17]: So. We have.Swyx [00:40:18]: ‘cause like Linux was originally like a clean room rewrite of Unix.Ivan [00:40:21]: Okay. Yeah.Swyx [00:40:21]: Or something like that, right? Like same thing to macOS. Someone needs to do it.Ivan [00:40:25]: Someone will do that, and someone will have some long-running agents for a few days to figure this stuff out. But yeah. So definitely we - we're really close to offering something ‘cause people do want it, but the pricing will be different, and the feature set will be sort of stringent.Swyx [00:40:38]: Yeah, nobody's gonna use this. like, the labs, the labs will because they want to automate macOS.Ivan [00:40:42]: They have to do RL. They have to do RL again. But even if you The - So the point is with the RL part, if you, if you do RL on macOS, then the next iteration of the model comes out, it will be able to use these tools significantly. Then you actually need to run those, that somewhere. So you're gonna have to have that, later on. And from, if anyone at Apple is listening, I very much feel that they are shooting themselves in the foot of the scale of the revenue of compute or licensing they could get if they would just enable a concurrency model similar to what you can get on a Windows and a, and Linux.Swyx [00:41:17]: Yeah. Yeah. And I'm sure they've heard this before. They just don't care. Yeah, it's And maybe they will change their mind with the new CEO.Ivan [00:41:24]: Yeah. We'll see.Swyx [00:41:25]: We'll see.Ivan [00:41:25]: High hopes.Swyx [00:41:26]: High hopes.Ivan [00:41:26]: High hopes.Swyx [00:41:27]: Okay. But I, it's very clear the market opportunity is huge in Windows, and you can go for a long time on just Windows, but your customers are gonna want both. and I think, it is interesting to me that, this is the sort of God application of agents, right? Like, I don't It was - How big was OpenClaw for you guys? Like, was it, was there, a significant bump.OpenClaw, Agent Labs, and the B2B2C Sandbox MarketIvan [00:41:54]: Not for us because we.Swyx [00:41:54]: Because you already.Ivan [00:41:55]: We're kind of positioned differently. Whereas although it's completely PLG and we have individual developers that use it, most of the users that use Daytona are sort of a B2B2C. Sort of it's either B2B or B2B2C. So, in the researcher world, it's B2B, so you're selling to, labs and neo labs and things like that. But on the long-running agents, it's mostly, from a scale revenue perspective, it's mostly B2B2C, where you have a app layer agent that uses you at a big scale.Swyx [00:42:26]: Like a Manus. Yeah.Ivan [00:42:28]: Like a Manus Lovable type of thing.Swyx [00:42:31]: Yeah. I think that's the question of, well how, um-Uh, yeah, B2B to C is basically to me what I've been calling an agent lab, which is kind of like you're not in a model lab, but you're making a very good wrapper that is a platform that other people can sign up so they don't have to code those things. Yeah, it sound, it sounds like a much better market than the direct OpenClaw market.Ivan [00:42:56]: I've like - We I've done multiple things. So the CodeAnywhere's part of our career path R in the calendar, was very much an end user developer product. And so that is great. It You can get a lot of developer love, and I feel that we do as a company have a bunch of developer love. But it's a different type, where it's people building these things. Again, it's more akin to a Twilio because you don't really run - As a person, you wouldn't run Twilio. I don't know how many people remember. It was like ask your developer billboard and whatnot. And people really love Twilio, but they only used it inside of like, “Oh, I'm building this app or service for thing.” And so we're very much directly to that. And you also know that I used to work for a competitor for Twilio, so it's kind of ingrained, in my DNA.Swyx [00:43:35]: People don't know InfoBip is that big.Ivan [00:43:38]: Yeah, it's.Swyx [00:43:39]: Because.Ivan [00:43:40]: It's a billion euro.Swyx [00:43:40]: They're all American. They're like, “Whatever's in Europe doesn't matter to me.” But like it's the, it's the same size or bigger? Same size?Ivan [00:43:46]: It's about half the size.Swyx [00:43:47]: Half the size?Ivan [00:43:48]: Yeah, about half the size.Swyx [00:43:48]: It's like, yeah.Ivan [00:43:48]: Still huge. Multiple billions a year. Yes.Swyx [00:43:51]: That's crazy.Ivan [00:43:51]: Exactly, and so that - These are like really interesting and large revenue-generating, very sticky businesses. Whereas when you're selling to the - When your focus is the end developer, it is a very hard sell because they're very price sensitive, very price conscious, very around that. And there's very It's very hard to scale. Your cap is the number of people that are willing to spin up - First of all, wanna spin that up, and then spin up multiple of these. Whereas if you're in the enterprise one, like we know everyone's talking about like how many tokens they're spending, I'm spending. Like a lot of companies today are like, “If this is our company, spend as much as you can.” Like basically that is where we're going. And so if you think about that paradigm, where you're selling to companies that say, “Spend as much as you can to generate, productivity,” versus, “Oh, I'm a single person. I have this much budget, and I'm doing this thing because it's fun or it's helping me out or whatever.” Like it is a different, it's a different go-to-market, I think, strategy.MCP, CLIs, and Sandboxes as the Agent RuntimeSwyx [00:44:50]: Yeah, there's a lot of discussion. I'm just kind of going through like the mental list of things that are in your favor, which is, for example, MCP versus CLI. Like obviously you want CLI. It's been very good for you. I feel like it's maybe a drop in the bucket or maybe it's huge. I'm just checking whether it's like these are big trends.Ivan [00:45:10]: Those things you - work well in our favor, to your point just because every.Swyx [00:45:13]: They're kind of drop in the bucket, right?Ivan [00:45:15]: I think it's like sort of all the things come together. And so there's so many things that impact that. To your point, like OpenClaw wasn't huge for us, but like having the agent SDK, from Anthropic, so or Cloud Claude Code was very interesting. The reason why it was interesting is that a lot of, let's call them app I don't know what to call them, app layer agent companies, essentially they are like, “Oh, I can create this new app, this new agent. All I need, I just use Claude Code, and I throw it into a sandbox, and then I have my interface to the human to that.” And so that enabled so many more companies to actually offer this, and then they would pull on sandbox. So that was, that was interesting. And to your point, like MCP, versus the CLI, the MCP is an interface against an API, whereas the CLI is like you can actually go do things. Like this is it. The difference between integrations and actually running scripts or data or analysis against a thing. So being able to use a CLI very well enables the agent to do more things, and it's because that people will invoke a sandbox, they'll run it in the CLI, and but it'll do anal-analysis on that data and then give you an actual result versus just, pulling data from an API source.Swyx [00:46:29]: Yeah, it's a layer of indirection basically, it's the same thing as agentic search versus RAG, which where you're.Ivan [00:46:34]: Exactly, yeah.Swyx [00:46:34]: Just like you just win whenever people put more agents into their workflow. And so like it doesn't really matter, but I'm just kinda teasing out like what else have people heard about that like it's sort of, “Oh yeah, this is another sandbox use case. Oh yeah, that's another one.” Am I, am I missing any big ones?Ivan [00:46:51]: The thing, the thing that people, which is the computer use stuff, which I think is probably the most interesting one, is, and to your point, we've talked to so many people over the last year. It's like, “Oh, like why do you need a sandbox? Why do you need this? Why this?” And to your point, it's like, “Oh, I need sandbox for this. I need sandbox for that. I need sandbox-” It's like, “Oh, I need it for every single thing.” And so basically what I, what I - and it sounds like a broken record, it's like you use a laptop every single day, right? And you are n of one. It's just you. But now imagine how And by the way, the laptop, the computer PC market, the PC market is about equal to the cloud market in total. So it's about 150, 180 billion a year. Something like that. It's about roughly the three cloud hyperscalers is about equal to like Apple, HP, Lenovo, whatever, It's a little bit less, but it's sort of like that. And now imagine And that's just like, so how big is the addressable market? What, how many people are there in the world now? What's the last data?Swyx [00:47:45]: Let's call it eight billion.Ivan [00:47:46]: Eight billion. And so let's say you can have two computer, like you have one personal and one business, whatever. Like so it's double that, right? and so that's 16 billion, right? How many agents are gonna be running in two years, in 10 years, in 100 years? Like And for every single task, they will need one of these. And so how big is that? That market is essentially quote unquote “infinite”. You will get to the point, and Dylan Patel was at the conference talking about, from SemiAnalysis, that talks usually about GPUs, was also talking about how CPUs will now be a bottleneck because it will be the constraint. You won't be able to grow, or we won't be able to have enough of these because there won't be enough CPUs to basically do.Swyx [00:48:23]: Yeah. Well, I actually had a really good podcast with Doug Oliphant, who, which was his president at SemiAnalysis, where they've basically been like, yeah, it's been a GPU shortage first, but then it's cascaded down to memory and now to CPUs.Ivan [00:48:35]: CPU, yeah.Swyx [00:48:35]: It-What's next? So networking. So, networking actually has been in shortage for a while if you're looking at, just GPU networking. But, yeah, it's really crazy the amount of computer use that's going on, yeah, cool. I, other questions are, just the one very big part is the open sourceness which you didn't have to do, your competitors don't do, like it's not, a lot of people are worried about keeping their projects open source because some competitor can just slot fork it. I don't know if there's any reflections on just being an open source company.Open Source, Trust, and Enterprise ProcurementIvan [00:49:15]: Yeah. There's a bunch. So we the original product that we did was open source.Swyx [00:49:19]: Yeah. CodeAnywhere.Ivan [00:49:20]: So doing that was actually very good for us. There's basically a saying of, What's the saying? Like, companies that are, that are doing really well, measure themselves against, free cashflow, that are kinda okay, it's EBITDA, then, it's, it goes all the way down.Swyx [00:49:36]: The worst is like GitHub stars.Ivan [00:49:37]: GitHub stars. GitHub stars are the worst, yeah. So you go all the way down to GitHub stars. And so our original one was GitHub stars. That's what we talked about, we're at the point we're talking about revenue, so we're we've gone up the stack on that. And so we started.Swyx [00:49:47]: No, profit.Ivan [00:49:48]: Yeah. We haven't, we're, we'll get there. We'll get there. But basically at that point we did stars and GitHub and it was useful, and the original variation that we did, it we split the core into its own repo and it was Apache 2.0, so very, permissive. And then we basically would bundl
This week we're talking GCC performance wins, then a parade of security issues, (including a security catastrophe on Windows). Debian is moving to reproducible builds, while the kernel updates its security docs. KDE has a beta out of 6.7, Dell and Lenovo back LVFS, and California may save gaming. For tips, we have CoolerControl for fan controls, stow for managing symlinks, and bb for sweet ASCII demo swag. You can find the show notes at https://bit.ly/4urTUKE and enjoy the show! Host: Jonathan Bennett Co-Hosts: Ken McDonald and Jeff Massie Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.