Podcasts about Qualcomm

Amit Chachek spent two decades building award winning visual effects for brands like Walmart and Coke before founding WeR AR, an augmented reality company built to fix the physical retail shelf.His core argument is simple. Retailers know everything about their backroom inventory and everything about the point of sale, but the space in between, the shelf itself, is a blind spot.Amit walks through how WeR AR uses a standard smartphone camera, no robots or fixed shelf cameras required, to let employees detect, verify, and fix shelf issues in real time. He explains the RGIS partnership, how data ownership is split between the platform and the retailer, and why he still believes smart glasses are three to five years from being useful in the enterprise.Listeners get a grounded look at where AI actually helps on the retail floor right now, and where the hype around wearables and robotics still outpaces reality.Website: https://expanio.com/Podcast website: https://expanio.com/commerce-untold-podcast/Eitan Koter's LinkedIn: https://www.linkedin.com/in/eitankoter/YouTube: https://www.youtube.com/@expanioglobalGuest: Amit Chachek, CEO, WeR ARAmit Chachek's LinkedIn: https://www.linkedin.com/in/amitchachekWeR AR: https://wer.ioKey Takeaways: • The retail shelf hasn't changed in 100 years, and that gap between backroom and POS data is where retailers are blind • A regular smartphone camera can replace shelf scanning robots and fixed cameras, cutting hardware and ROI headaches • Augmented reality on shelf can cut daily shelf management tasks by fifty to eighty percent • Humans empowered by AR outperform robots because robots can detect problems but cannot execute fixes on the shelf • Vision-language models still can't consistently understand spatial environments from video, which is why smart glasses remain years away from real utility • Winning enterprise retail deals takes one internal champion willing to test in real stores for over a year before wider rolloutChapters:[00:16] Introduction: From VFX to Retail Shelves[01:11] Amit's ADHD Story and the Road to Entrepreneurship[04:20] Leaving Media and Entertainment for Augmented Reality[09:40] How AI Reshaped WeR AR's Roadmap[13:43] Pitching Shelf Intelligence to Store Managers[15:23] Smartphones vs. Shelf Scanning Robots[17:20] The RGIS Partnership and Retail Data Ownership[22:19] Smart Glasses, Qualcomm, and Why Phones Still Win

Hey this is Alex, welcome to... the chillest week in AI, since ... a long time. Chill, if you consider Moderna and MERK announcing a cancer vaccine and surging 115% in a day, a chill week. This week, the only two model drops we really saw came from the excellent Z.ai folks, they announced GLM 5.3, API only for now, and an amazing tiny release of Qwen 3.89 27B. In other big AI news, OpenAI announced they are pausing RL efforts (Reinforcement Learning) to focus on security and alignment post the scary AI Swarms hacking incident, dedicating up to 20% of compute towards reviewing agent thinking processes, and Stripe buying OpenRouter for a reported $8B! Sometimes the chill weeks are actually good, we're able to chat about how we use AI, what changed for us, and give our guests a bit of breathing room. This week, I invited Francesco from CUA to talk about computer use in open source + their new history plugin, Bin from HeyGen to talk about HyperFrames, a way for your agents to create videos and a breaking news guest, Jeff Huber from Chroma jumped on to talk about their new Foundations release, a unified memory for your agents! This was a great episode, I hope you'll like it, it's up here on Substack and everywhere you get your pod (Spotify, Youtube, Apple Podcasts). ThursdAI - Highest signal weekly AI news show is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Are we being fed slop again? (Is Claude dumb again?)Before we get to releases, this week on the show, I complained, again, that I feel my AI's are degrading. If this feels like de-ja-vu to you, it's because the same happened a year ago in September 2025 (and Anthropic admitting this 2 weeks later), and ... now this happens with Fable?You see, I use pretty much the same prompts, every week, preparing for the show. This is partly my way to evaluate new models and compare to existing and previous ones while also bringing you the best researched weekly show in AI. Well, this week, one after another, Claude Fable, which is... like the best intelligence, gave me such poor output, that I couldn't believe what I'm seeing. First, literally ignoring instructions that say “hey, show me all the items I've collected and let me pick the most important ones”, Fable instead sent all of them to my research pipeline, without showing me. This has worked, consistently, without fail, for the past... year? maybe more! This worked with open source models, worked with GPT, and now Fable, a Mythos Level LLM, is doing the most basic dumb s**t possible, ignoring the main reason I even have this workflow. And this wasn't just a fluke either, when asked to create a run of show document, and given an example, Fable produced this... whatever this is. This is the same document and same format that Fable produced for me during AI Engineer which got me thinking “ok, this is AGI”, and here, given an example, I got a completely unusable artifact, despite direct instructions, structure and example! I got to say, given that privately this week, Anthropic disclosed that they have passed $65B in revenue, which is absolutely insane, this doesn't add up. So I figured, ok Alex, maybe this is your prompts or skills. But no, LDJ came in with some charts that show degradation, one from MarginLab.ai that shows significant lowering on number of tool calls and average runtime recently (this is for Opus 5) and And another chart from modelverify.ai model drift monitor showing drift scores.Do we have anoher Claude Gate on our hands? Is your Fable/Opus behaving weird lately? Or did you completely switched away to other models? OpenAI pausing RL and focusing on safetyLook, when we covered the HF hacking incident and then the pacing the frontier letter, I didn't imagine that results will come this fast, but this week, OpenAI publicly announced that they are pausing RL training, which is the last step of models, until they get their sandboxes in order and align the models better. We all agreed on stage that this is likely a very good move, and Peter was really awe-struck at the 20% dedication of resources towards reviewing thought processes of models. Is this a good enough response to the scary hacking incident? we'll see, but I think this is the right move from OpenAI, and still, waiting for the full postmortem on the OpenAI security incident. Open Source LLMsQwen3.8-27B ties GPT-5.6 Luna and runs on a 4090 (X, HF, Announcement)Following the release of their flagship, Alibaba dropped a model that became a community darling overnight, Qwen 3.8 with just 27B parameters. This “tiny” model scores 52 on the Artificial Analysis Intelligence Index, same score as GPT 5.6 Luna at Max reasoning and 51 on Agentic index, beating Opus 4.8 MaxAll while running at around 68t/s on a 4090 GPU, and around 40 on max via MLX, hell it even does 11t/s on Xenova's WebGPU kernels right in the browser! This model exploded on the HuggingFace hub, with tons of quants, over 152 fine-tunes, it was downloaded over 10M times overall

Analysts Don Kellogg and Roger Entner unpack the FCC's latest developments, examine real-world data on internet providers including Optimum, and discuss ongoing customer service concerns.00:00 Episode intro 00:24 New FCC nomination news 01:47 FCC's potential satellite expansion 02:42 Ranking internet provider speeds 03:47 Survey information difficulties 06:29 Do devices still matter? 08:04 Optimum's current metrics 10:29 Network status and customer retention 12:12 The state of customer service 13:41 Episode wrap-upTags: telecom, telecommunications, wireless, prepaid, postpaid, cellular phone, Don Kellogg, Roger Entner, FCC, Danielle Thumann, Brendan Carr, satellite, cable, fiber, FWA, DSL, devices, T-Mobile, AT&T, Apple, Qualcomm, Verizon, Android, network, Optimum, SFR, customer service

Text-to-image models have become remarkably good at producing realistic images. But realism isn't the same as correctness. Ask for several distinct people, a specific composition, or a high-resolution image generated locally, and today's models still struggle in surprising ways. In this episode, Fatih Porikli, Vice President of Technology at Qualcomm, joins me to discuss what remains unsolved in image generation and several approaches his team presented at CVPR to address those challenges. We explore why better training objectives can improve controllability, how separating scene planning from rendering may lead to more reliable image generation, techniques for generating 16-megapixel images efficiently on edge devices, and new methods for eliminating the visible artifacts that often appear in AI-powered image editing. Along the way, we discuss reinforcement learning for image generation, agentic image generation pipelines, on-device AI, and what the next phase of progress in generative vision systems is likely to look like.

The US military will pay you up to $1 million just to design augmented reality "Iron Man" glasses — and that's one topic out of hundreds. There's over $3 billion in government seed funding available this fiscal year through the SBIR program alone, and companies like Qualcomm, Symantec, and iRobot got their start with this exact funding.I walk through a real, live Navy SBIR topic step by stepThen I show you an Army xTech prize competition where a four-page white paper and a five-minute video can put you in the running for $150,000 and follow-on government contracts. Check out the GovClose certification program and start your career in government contracting:https://www.govclose.com/sales-certificationOur students learn the government contracting skills to :1. Start their own consulting business that can earn up to $400k as a "solopreneur" advising businesses that sell to the government.2. Land high paying sales executive jobs with companies in the public sector.3. Increase government contracting revenue for companies selling to the US government.

In Apple's high-profile case against OpenAI, the latter went on a public offensive. It aggressively projected its version of the story, countering Apple's allegations through many public channels, including news media and its own blog, even before filing its official legal reply to the court.In this episode, I continue the discussion with Christie Thoene, former VP of Legal and Policy Comms at Qualcomm, on OpenAI's strategy, how it exploited Apple's initial misstep to set its own narrative in the public, the delicate balance Apple has to maintain between pushing its case without creating the perception that it is impeding innovation, how important the PR offensive is in high-visibility cases like this, what are the next step and more. We also delve into what Apple's motion for injunction and OpenAI's motion to dismiss the case mean.

Você já percebeu que comprar pela internet está ficando cada vez mais rápido? Em muitos casos, basta um clique para concluir uma compra. Mas o que acontece nos bastidores até que o pagamento seja aprovado? No novo episódio do Podcast Canaltech, conversamos com Renato Migliacci, vice-presidente de Vendas da Adyen Brasil, sobre como a tecnologia está transformando os pagamentos digitais e mudando a experiência de compra. Durante a entrevista, ele explica por que o momento do pagamento deixou de ser apenas a etapa final da compra para se tornar uma ferramenta estratégica para empresas, fala sobre o papel da inteligência artificial na redução de fraudes e dos chamados "falsos positivos", quando compras legítimas são recusadas por engano e mostra como tecnologias como tokenização e pagamentos invisíveis prometem deixar a jornada do consumidor cada vez mais simples. O episódio também aborda o futuro do varejo, a importância de reduzir atritos durante o checkout e como essas mudanças impactam consumidores e empresas. Você também vai conferir: "iPhone da Xiaomi" terá chip mais poderoso da Qualcomm., Windows 11 ganha app que reconhece pessoas e comprar um Xbox agora pesa mais no bolso. Este podcast foi roteirizado e apresentado por Fernanda Santos e contou com reportagens de Nathan Vieira, André Magalhães e Gabriel Cavalheiro. A trilha sonora é de Guilherme Zomer, a edição de Jully Cruz e a arte da capa é de Erick Teixeira. O Podcast Canaltech está concorrendo para entrar no Top 20 do Prêmio iBest 2026! Se você acompanha nossos episódios, curte as entrevistas e gosta do conteúdo que produzimos todos os dias, sua ajuda pode fazer toda a diferença. Vote no Podcast Canaltech aqui. É rápido, gratuito e você pode votar até 3 vezes por dia.See omnystudio.com/listener for privacy information.

L'Union européenne accélère dans la bataille mondiale de l'intelligence artificielle. Le 30 juillet, Bruxelles a lancé un appel à projets pour construire jusqu'à sept gigafactories d'IA, autrement dit d'immenses centres de calcul capables d'entraîner les modèles les plus avancés. L'objectif est de mobiliser plus de 30 milliards d'euros. La France s'est immédiatement portée candidate et promet d'acheter pour 100 millions d'euros de capacité de calcul au futur lauréat français.Ces gigafactories regrouperont des milliers de processeurs spécialisés, installés dans des data centers conçus pour limiter leur consommation énergétique. Elles devront être accessibles aux start-up, aux PME, aux chercheurs, aux administrations et aux entreprises en croissance. Elles viendront compléter les dix-neuf usines d'IA déjà soutenues en Europe et pourront être réparties entre plusieurs pays grâce au calcul distribué. Pour Henna Virkkunen, vice-présidente de la Commission chargée de la souveraineté technologique, cette puissance de calcul est devenue une nécessité stratégique.Bruxelles prévoit jusqu'à 10 milliards d'euros d'argent public afin d'attirer au moins 20 milliards d'investissements privés. Les aides seront versées en deux étapes. Les quatre premiers projets pourront recevoir jusqu'à 500 millions d'euros chacun. Les trois plus ambitieux pourront atteindre un milliard. En échange, ils devront égaler, puis largement dépasser, la puissance de la meilleure infrastructure européenne. L'autonomie reste toutefois relative. L'Union a signé des lettres d'intention avec AMD, NVIDIA et Qualcomm pour sécuriser l'accès aux puces performantes, tout en souhaitant réserver une partie des commandes aux fabricants européens.La France veut s'appuyer sur son électricité largement décarbonée, son écosystème technologique et son cadre juridique. Les 100 millions annoncés doivent couvrir les futurs besoins des administrations, de la recherche et des hôpitaux. Le projet complète le plan « Notre IA », le supercalculateur Jean Zay et les AI Factories pilotées par le GENCI. Les candidatures devront être déposées avant le 12 novembre 2026. EuroHPC évaluera les dossiers. Dix-huit États membres prévoient aussi d'acheter ensemble une partie des capacités disponibles. Les choix sont attendus début 2027. Les sites retenus devront ensuite être opérationnels en dix-huit mois maximum. Une course serrée, mais jugée indispensable pour que l'Europe ne reste pas cliente des puissances étrangères. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In this episode of The Circuit, hosts Ben Bajarin and Jay Goldberg break down a packed earnings week across the technology and semiconductor sectors, grouping major updates into key themes around mobile markets and AI infrastructure. They analyze softness in mobile demand alongside severe supply chain bottlenecks impacting Apple, Qualcomm, ARM, and MediaTek, highlighting how surging AI demand is squeezing capacity across foundry and memory partners. The hosts then dive into hyperscaler CapEx trends from Amazon, Microsoft, and Meta, evaluating the transition from AI training to inference, the rising adoption of behind-the-meter power solutions, and severe labor constraints in electrical trades. Finally, they address the growing reliance on debt financing for data center expansion and unpack the market mechanics behind recent stock volatility and hedge fund unwinds.

Patrick Moorhead and Daniel Newman break down a chaotic week that included Jensen Huang's debut on X in defense of open models, a new enterprise agentic reference blueprint from EY, NVIDIA, and LangChain, and a 24-hour market whiplash triggered by a hedge fund's forced liquidation into Citadel. The hosts also cover a stacked earnings week from Microsoft, Meta, Qualcomm, Arm, Apple, and Amazon, plus IonQ's move into vertical integration with its SkyWater acquisition. The handpicked topics for this week are: Jensen Huang Joins X and Defends Open Models: Jensen Huang's debut post on X drew a fast-growing following while promoting open models and unveiling the Open Secure AI Alliance alongside Satya Nadella. The same week, more than a thousand frontier lab employees signed a letter urging a slower pace, with Anthropic notably absent from both the alliance and the caution letter. (The Decode) China's Distillation Debate Resurfaces Alongside the Open Model Push: Patrick argued that distillation is not theft and should be treated as fair competitive practice, contrasting it with copyright cases where creators are compensated directly. Daniel noted that Kimi K2's training run relied on a large NVIDIA cluster, reinforcing that Chinese open models still depend heavily on U.S. hardware. (The Decode) EY, NVIDIA, and LangChain Ship an Agentic Deployment Blueprint: A new reference architecture from EY, NVIDIA, and LangChain gives enterprises a template for moving agentic workloads from pilot to production. Patrick called it evidence that enterprise AI adoption remains in its early stages, with integration sitting around five percent of total workflow potential. (The Decode) Memory Pricing Becomes the New Infrastructure Tax: Memory is emerging as one of the biggest cost pressures in AI infrastructure. Meta has pointed to rising memory costs in its capital spending outlook, while Apple CEO Tim Cook has warned that higher memory costs are expected to persist as supply remains constrained. Patrick argued that memory vendors are finally capturing the value of a component that has shifted from commodity to strategic asset, while noting that Chinese memory manufacturer CXMT remains an important geopolitical wildcard that could reshape the competitive landscape. (The Decode)  IonQ Buys Its Way Into Vertical Integration: IonQ closed a $1.8 billion acquisition of SkyWater Technology, making it the only quantum computing company in the United States to own its own chip foundry. Daniel compared the move to how hyperscalers are rewarded for owning their full stack, positioning IonQ as a potential anchor point for other quantum companies needing foundry capacity. (The Decode) The Flip: Is the Hyperscaler Capex Debate Over? Pat and Dan take opposite sides to pressure test whether or not Wall Street will keep funding unlimited AI infrastructure spending as long as revenue growth keeps accelerating. Daniel argued backlog and margin growth at Microsoft, Amazon, and Google justify the spending. Patrick countered that conversion, not just revenue, is what the market is actually pricing. (The Flip) AI Trade Rocked by Forced Deleveraging: The forced liquidation of leveraged hedge fund Situational Awareness into Citadel sparked a violent market reversal that erased itself within 24 hours, with SanDisk, Micron, and Microsoft all posting double-digit rebounds. Patrick and Daniel walked through how SK hynix's earnings miss helped trigger a broader deleveraging event that briefly rattled confidence in the AI trade. (Bulls & Bears) Microsoft Delivers a Standout Quarter: Microsoft beat across Intelligent Cloud and Azure, with CFO Amy Hood committing to positive free cash flow by 2027 and Copilot usage now rivaling Outlook and Teams in weekly engagement. Patrick and Daniel called it one of the strongest quarters the company has posted this cycle after a year of being punished in the market. (Bulls & Bears) Meta's Guide Overshadows Its Revenue Growth: Meta grew revenue 27% year over year. A narrowed capex guide tied to rising component costs and deepening Reality Labs losses drove the stock down. (Bulls & Bears) Qualcomm Leans on Diversification as Handsets Slow: Qualcomm's results were mixed, with declining handset revenue offset by growth in automotive and an emerging data center business expected to contribute meaningful revenue within a few quarters. Daniel Newman noted the company is on pace for more than half its revenue to come from outside handsets by next year. (Bulls & Bears) Arm Turns IP Licensing Into Silicon Revenue: Arm beat across revenue and guidance, then sold off on its outlook. The company disclosed a pipeline of more than $2 billion in demand for its new AI data center chips from customers including Oracle and Meta. (Bulls & Bears) Apple Returns to the Top of the Market: Strong iPhone and Mac sales helped Apple deliver a revenue beat and briefly overtake NVIDIA as the world's most valuable company by market capitalization, aided by a broader rotation out of AI and semiconductor stocks. Patrick and Daniel unpacked what drove the move, while highlighting a softer-than-expected services performance and the impact of tariff-related tailwinds as key factors to watch heading into next quarter. (Bulls & Bears) Amazon Posts Its Fastest AWS Growth in 18 Quarters: AWS revenue accelerated 37%, its fastest pace in a year and a half, while Amazon raised capex guidance to as much as $220 billion. Daniel pointed to Amazon's in-house chip business, now on a $25 billion annualized run rate, as a sign the company's infrastructure bets are converting into revenue. (Bulls & Bears) Watch the full episode at sixfivemedia.com, and be sure to subscribe to our YouTube channel so you never miss an episode. The Decode Jensen Huang's first post on X: https://x.com/JensenHuang/status/2080643682408321103?s=20 EY-NVIDIA-LangChain blueprint: https://www.ey.com/en_gl/newsroom/2026/07/ey-expands-nvidia-powered-enterprise-ai-capabilities-with-industry-first-validation-of-nvidia-nemoclaw-for-langchain Memory pricing / Tim Cook commentary: https://finance.yahoo.com/technology/article/apple-ceo-tim-cook-says-this-100-year-flood-wont-be-receding-anytime-soon-121832016.html IonQ SkyWater acquisition as a vertical integration play: https://thequantuminsider.com/2026/07/28/ionq-receives-regulatory-approval-to-complete-acquisition-of-skywater-technology/ The Flip The hyperscaler capex debate:  FOR: Microsoft just proved the market rewards accelerating AI revenue regardless of capex size: https://www.investing.com/news/transcripts/earnings-call-transcript-microsoft-q4-2026-beats-forecasts-stock-jumps-8-93CH-4822020   AGAINST — Eventually $250B-annual infrastructure programs must produce free cash flow, not just backlog and revenue growth: https://247wallst.com/investing/2026/07/29/fast-money-host-warns-hyperscaler-capex-binge-is-issuing-near-junk-as-data-center-buildout-shows-cracks/   Bulls & Bears Situational Awareness / market whiplash: https://www.wsj.com/finance/investing/situational-awareness-down-67-in-july-in-ai-stock-rout-cd19901f Microsoft Q4 2026 earnings: https://www.investing.com/news/transcripts/earnings-call-transcript-microsoft-q4-2026-beats-forecasts-stock-jumps-8-93CH-4822020 Meta Q2 2026 earnings: https://finance.yahoo.com/news/meta-misses-on-q2-earnings-stock-tumbles-121325403.html Qualcomm Q3 2026 earnings: https://www.qualcomm.com/news/releases/2026/07/qualcomm-announces-third-quarter-fiscal-2026-results Arm Q1 FY27 earnings: https://newsroom.arm.com/news/arm-q1-fye27-results Apple Q3 FY2026 earnings: https://www.apple.com/newsroom/2026/07/apple-reports-third-quarter-results/ Amazon Q2 2026 earnings: https://finance.yahoo.com/markets/stocks/articles/amazon-q2-2026-earnings-aws-204411872  

Tune into episode 490 of the Mobile Tech Podcast with guest Will Sattelberg of 9to5Google -- brought to you by Mint Mobile. In today's show, we review Samsung's Galaxy Z Fold8 and discuss the latest Google Pixel 11 series leaks. We also share our thoughts on Apple's Upgrade program and the US foreign robot ban, then cover news, leaks, and rumors from Apple, Light, Honor, OnePlus, Nothing, MediaTek, and Qualcomm. Good times!Episode Links- Support the podcast on Patreon: https://www.patreon.com/tnkgrl- Donate / buy me a coffee (PayPal): https://tnkgrl.com/tnkgrl/- Support the podcast with Mint Mobile: https://mintmobile.com/mobiletech- Will Sattelberg: https://www.threads.com/@willsattelberg- Samsung Galaxy Z8 series recap: https://9to5google.com/2026/07/22/heres-everything-new-on-samsungs-galaxy-z-fold-8-series-flip-and-new-galaxy-watch-is-it-enough/- Ben's Samsung Galaxy Z Fold8 review: https://9to5google.com/2026/07/31/samsung-galaxy-z-fold-8-review/- Dom's Samsung Galaxy Z Fold8 review: https://www.theverge.com/tech/972387/samsung-galaxy-z-fold-8-review- Google Pixel 11 Pro teaser: https://9to5google.com/2026/07/29/pixel-11-pro-teaser-2/- Google Pixel 11 series pricing leak: https://www.gsmarena.com/new_leak_claims_the_pixel_11_and_pixel_11_pro_may_actually_be_cheaper_than_their_predecessors-news-73913.php- Google Pixel 11 series colors leak: https://www.gsmarena.com/new_leaked_renders_reveal_every_color_option_for_the_pixel_11_lineup-news-73839.php- Apple Upgrade program: https://9to5mac.com/2026/07/28/apple-upgrade-leasing-program-debuts-how-it-works/- Apple Mac roadmap leaks: https://9to5mac.com/2026/07/22/apples-huge-mac-roadmap-revealed-in-new-report/- Light Flip: https://9to5google.com/2026/07/21/light-flip-minimalist-phone-announcement/- Light founders interview: https://9to5google.com/2026/07/27/the-sideload-040-finding-digital-peace-with-light-phone/- Honor Robot Phone camera details, coming Aug 12: https://www.gsmarena.com/honor_details_robot_phone_cameras_ahead_of_launch-news-73905.php- OnePlus 16 rumors: https://www.gsmarena.com/new_leak_points_to_october_launch_for_the_oneplus_16-news-73891.php- Nothing downsizing rumors: https://www.gsmarena.com/nothing_denies_plans_to_exit_12_global_markets_says_its_fake_news-news-73895.php- Nothing Wear OS smartwatch rumors: https://www.gsmarena.com/nothings_first_smartwatch_to_launch_in_september_tipster_claims-news-73901.php- MediaTek Dimensity 9600 rumors: https://www.gsmarena.com/mediateks_appleinspired_dimensity_9600_variants_revealed-news-73893.php- Third Qualcomm Snapdragon 8 Gen 5 chip rumor: https://www.gsmarena.com/qualcomm_is_allegedly_launching_a_new_snapdragon_8_elite_gen_5_soc_this_year-news-73846.php- US bans foreign robots: https://9to5google.com/2026/07/29/robot-vacuum-us-government-ban/Affiliate Links (If you use these links to buy something, we might earn a commission)- Samsung Galaxy Z Fold8 Ultra: https://amzn.to/4wnFRqt- Samsung Galaxy Z Fold8: https://amzn.to/4fTJm2a- Samsung Galaxy Z Flip8: https://amzn.to/4fUqhwS- Samsung Galaxy Watch Ultra2: https://amzn.to/4pKqKVN- Samsung Galaxy Watch9: https://amzn.to/45lgppQ

This week on Autonomy Markets, Grayson Brulte and Walter Piecyk discuss the Waymo/Uber divorce going public, Zoox receiving NHTSA approval to charge for rides, Aurora earnings, and Qualcomm's BMW win as ADAS becomes the Trojan horse into autonomy.The Waymo/Uber relationship is unraveling in public, with The Financial Times confirming Waymo will launch its own app in Austin and Atlanta in January 2028 before the contract expires that May. Both sides are airing grievances, from dirty cars and bad routing to weather no-shows and unsustainable financial terms. Grayson goes on the record that the relationship terminates early, calling for a Waymo app in those markets by June 2027, while Walt takes the under.After 12 years and billions of dollars, Zoox can finally charge for a ride. NHTSA granted an exemption capped at 2,500 vehicles per year for two years, a ruling that also creates a potential viable deployment path for Tesla's Cybercab.In autonomous trucking, Aurora is targeting 1,000 trucks by the end of next year against 200 this year, a heavily back-end loaded ramp that depends on truck supply, Roush capacity, and unresolved questions about how the Volvo Autonomous Solutions margin split works. Meanwhile, Qualcomm's selection by BMW as lead compute for next-generation ADAS confirms the growth of the L2+ market and positions Snapdragon as the Trojan horse into autonomy compute.On the Foreign Autonomy Desk, Baidu began RT6 robotaxi testing in London with both Uber and Lyft on the outskirts of the city, received a full driverless permit in Hong Kong, and China resumed issuing robotaxi permits once again.Episode Chapters0:00 Waymo/Uber Divorce Goes Public5:45 Uber's Autonomous Vehicle Partner Problem10:28 Waymo's OEM Partner Signals12:25 Zoox Gets the Golden Ticket16:52 Advancing America's Safety and Competitiveness for the Evolution of National Deployments20:16 Aurora Q2 2026 Earnings27:43 How Big Is the OEM Risk?30:38 ADAS as the Trojan Horse Into Autonomy35:42 Ford BlueCruise Falls Short37:23 Foreign Autonomy Desk: Baidu RT6 Testing in London with Uber & Lyft41:33 Next WeekFollow The Road to Autonomy Indices--------About The Road to AutonomyThe Road to Autonomy is the leading applied intelligence platform covering the convergence of automation, autonomy, and the Autonomy Economy.™.Through our podcasts, newsletter, and proprietary applied intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Join institutional investors and industry leaders who read This Week in The Autonomy Economy every Sunday. Each edition delivers exclusive insight and commentary on the autonomy economy, helping you stay ahead of what's next.Sign up for This Week in The Autonomy Economy newsletterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The latest In Touch With iOS with Dave Ginsburg he is joined by Jill McKinley, Chuck Joiner, Jeff Gamet, Eric Bolden, Marty Jencius, Guy Serle. Apple reports another outstanding quarter as the panel discusses record revenue, Tim Cook's final earnings call, and what it means for Apple's future. The conversation also covers iOS 27's newest features, important security updates across Apple's platforms, Apple's new Klarna-powered leasing program replacing the iPhone Upgrade Program, AppleCare changes, Ted Lasso's return, Gemini on the Mac, and a collection of favorite Apple apps, accessories, and productivity tools. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary Apple delivered another blockbuster quarter, and this week the panel breaks down what the numbers really mean. Dave Ginsburg is joined by Jeff Gamet, Chuck Joiner, Marty Jencius, Jill McKinley, Eric Bolden, and Guy Serle to discuss Apple's impressive Q3 earnings, including strong growth in iPhone, Mac, Services, and Wearables, along with Tim Cook's final earnings call before leadership transitions. The group examines what drove Apple's success, why Services continues to be such a major business, and how Apple's future product strategy could evolve. The discussion then shifts to Apple's latest software releases, including visionOS 26.6, iOS 26.6, macOS 26.6, and the continuing iOS 27 developer beta cycle. The panel highlights important security updates, new Spotlight improvements, and several welcome quality-of-life features coming in iOS 27, including separate alarm and ringtone controls, smarter dictation behavior in Messages, enhanced FaceTime capabilities, improved Wi-Fi and cellular handoffs, and Apple Intelligence-powered call context. One of the biggest conversations centers around Apple's brand-new U.S. leasing program with Klarna, replacing the longtime iPhone Upgrade Program. The panel explores how the new leasing model compares with traditional financing, discusses AppleCare implications, resale value, monthly payments, and whether Apple's hardware strategy is slowly becoming subscription-based. The episode wraps up with AppleCare One updates, excitement over Ted Lasso's return, Google's Gemini improvements on macOS, Qualcomm's changing relationship with Apple, Granola's Apple Watch support, and another great collection of favorite apps, accessories, productivity tools, and Apple gear from the panel. Topics and Links Apple Q3 Results Announced Apple announces record Q3 results One last time, this is Tim: Final transcript of Apple's Q3 2026 earnings call In Touch With Vision Pro this week.  Apple Releases visionOS 26.6 Beta this week. iOS 27 Beta 4 all the betas continues Apple Releases iOS 26.6 and iPadOS 26.6 With iOS 27 Optimizations watchOS 26.6 available now for Apple Watch, here's what's new Apple Releases tvOS 26.6 iOS 27 Finally Unlinks Alarm Volume From Your iPhone Ringer iOS 27 Lets You Hide the Messages Button Everyone Hits by Mistake iOS 27: All the New Phone and FaceTime Features In Touch With Mac this week Update Now: iOS 26.6 and macOS Tahoe 26.6 Patch Hundreds of Security Flaws Other Topics iPhone Upgrade Program Changes Apple Upgrade - Lease iPhone, Mac, iPad, Watch Apple Upgrade launches in the United States iPhone Upgrade Program - Apple Apple Upgrade: 20 Things to Know Before Leasing an iPhone, iPad, or Mac 'Apple Upgrade' Pricing: You Can Lease an iPhone Starting at $18/Month Apple Upgrade: 20 Things to Know Before Leasing an iPhone, iPad, or Mac Apple's New Upgrade Program: Is It Worth It? 'Apple Upgrade' Pricing: You Can Lease an iPhone Starting at $18/Month All the Changes to AppleCare+ This Month AppleCare calculator News Apple Shares 'Ted Lasso' Season 4 Trailer Premieres 8/5 Gemini for Mac Adds System-Wide Voice Dictation and Screen-Aware Commands Qualcomm Expects Apple Modem Revenue to Drop Faster Than Expected 'Granola' Launches on Apple Watch   This weeks "Things we found" Marty - Droppy: Notch manager with all sorts of functionally built in https://getdroppy.ap Dave: Tom Bihn Medium Cafe Bag Carrd - 3 very simple websites for $9, 10 bit more complex website $19 a year https://carrd.com - Jill Eric - airstream software serve movies to Vision Pro and translate 3D movies https://spatial.film/airstream/ (requires free membership to download) Jeff - Prompt 3  https://panic.com/prompt/ Chuck - Govee Floor Lamp 3 with Luminblend+ Technology, 1000K-10000K Standing Lamp https://amzn.to/4wzXVhj Guy Acorn 8 - https://flyingmeat.com/acorn/ Announcements Macstock X wrapped up for 2026 what a great event! Stay tuned for the Digital pass coming soon Digital Pass | Macstock Conference & Expo Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastodon @daveg65, , BlueSky @daveg65  and the show @intouchwithios   Our Regular Contributors Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on his blog Jeff Gamet - Mastadon @jgamet Pixelfed @jgamet@pixelfed.social and Bluesky @jgamet.bsky.social‬ Podcasts The Context Machine Podcast  Retro Rewatch Retro Rewatch His YouTube channel https://youtube.com/jgamet Buy his art! Jeff Gamet Artapoc Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and Circular Firing Squad Podcast. Find him at jencius@mastodon.social  https://thepodtalk.net  Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him by email at eabolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast.   Jill McKinley works in enterprise software, server administration, and IT. A lifelong tech enthusiast, she started her career with Windows but is now an avid Apple fan. Beyond technology, she shares her insights on ai, nature, faith, and personal growth through her podcasts. Her content on YouTube at @smallstepswithai and follow her on X @NorthwoodsJill. Find all her work at http://jillfromthenorthwoods.com  Chuck Joiner is the host of MacVoices and hosts video podcasts with influential members of the Apple community. Make sure to visit macvoices.com and subscribe to his podcast. You can follow him on Twitter @chuckjoiner and join his MacVoices Facebook group. Guy Serle is one of the hosts of the new The Gmen Show along with GazMaz and email GMenshow@icloud.com  @MacParrot and @VertShark on X  Vertshark on YouTube, Google Voice +1 Area code  703-828-4677

It's a big week for new ideas about computers, so David and Nilay spend some time on Samsung's vision for foldables and Mark Zuckerberg's vision for AI agents that do absolutely everything. Then they talk about the fallout from last week's OpenAI Hugging Face hack, and whether all this talk about AI safety will actually amount to anything. Finally, it's time for Brendan Carr is a Dummy, the vertical video takeover, and the smashing success of the Ferrari Luce. Further reading: Samsung's Galaxy Z Fold 8 feels like the future Apple launches ‘Upgrade' program to lease new devices  What's the catch with the Apple Upgrade program? Mark Zuckerberg is planning a big push into personal AI agents Mark Zuckerberg wrote an op-ed about AI for the WSJ.  We're running out of reasons to ignore AI safety OpenAI reportedly didn't notice its AI agent hacking Hugging Face until a week later.  Nvidia, Microsoft launch open AI security alliance — without OpenAI, Google, or Anthropic OpenAI's rogue AI agent didn't stop at hacking Hugging Face  AI leaders sign a statement asking the government to do something about automated AI  Former FCC chairs blast Carr's early renewal of ABC licenses as an ‘assault on free speech.' ABC demands FCC drop its ‘punitive' early license renewal of its stations Qualcomm is raising phone chip prices starting September 1st The Ferrari Luce reportedly already hit its 2026 sales target  Samsung's smartphone biz posts first ever loss, but profit still soars 1,300 percent on RAM. Facebook considers giving up and becoming TikTok  YouTube Premium will include Peacock starting next year  HBO Max is putting on vertical shorts  Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:00:00 Intro 00:03:00 Baby Announcement 00:06:00 Galaxy Z Fold 00:12:00 Apple Leasing Program 00:15:00 Kill Switch Concerns 00:19:00 Zuck Agent Future 00:34:00 AI Safety Week Recap 00:42:00 Regulation Versus China 00:49:00 Winning AI Race 00:53:00 Security Arms Race 00:57:00 Brendan Carr Is a Dummy 01:07:00 Facebook Becomes TikTok 01:12:00 Ramageddon Price Hikes 01:16:00 HBO Max Shorts 01:23:00 Ferrari Luce Buzz 01:26:00 Wrap Up and Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices

S&P futures are pointing to a slightly higher open. Asia markets were mixed to lower on Thursday. The Kospi failed to sustain momentum. China tech names broadly underperformed as mainland equities retreated on regulatory concerns. Standout gains in Japan's Advantest and Tokyo Electron bolstered sentiment and the Nikkei, but the Topix still closed in the red. European markets are turning positive this morning. Attention is on strong earnings from financial and healthcare names.Companies Mentioned: Meta, Microsoft, Qualcomm, Arm Holdings, Shein, Churchill Downs, Procore Technologies

Qualcomm (QCOM) CFO/COO Akash Palkhiwala joins The Watch List to discuss the company's outlook, the growth of its automotive business, and how connected vehicles are transforming transportation. He explains why cars are becoming "smartphones on wheels" and shares Qualcomm's vision for bringing advanced connectivity to the auto industry.======== 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

Fed maintained rates, though with 3 dissenters who favoured a 25bps hike. Chair Warsh said that if inflation remains elevated, rates could be part of fixing that.DXY came under pressure as the Fed failed to match hawkish expectations, though Warsh's press conference triggered pronounced UST curve steepening.US CENTCOM announced its forces successfully completed a heavy wave of strikes against Iran; Jordan intercepted five missiles launched by Iran.US after-market earnings saw results from ARM Holdings (-5.7%), Microsoft (+8.9%), Meta Platforms (-7.5%) and QUALCOMM (-4.7%).APAC stocks were mostly lower; European equity futures indicate a flat cash market open. Looking ahead, highlights include French GDP Prelim (Q2), Spanish GDP Flash (Q2), Inflation Prelim (Jul), German GDP Flash (Q2), State/Nationwide Inflation Flash (Jul), Italian GDP (Q2), EU GDP Flash (Q2), Consumer Confidence Final (Jul), US GDP Advance (Q2), PCE (Jun), Initial Jobless Claims (Jul/25), Personal Spending (Jun), Chicago Fed Labor Market Indicators (Jul), BoE Policy Announcement & MPR (Jul). Speakers include BoE Governor Bailey, Earnings from Bristol Myers Squibb, Mastercard, Apple, Amazon, Adidas, BMW, Leonardo, Renault, Sanofi, Schneider Electric, SocGen, BAE Systems, British American Tobacco, Shell & Rolls-Royce.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

In der heutigen Folge sprechen die Finanzjournalisten Lea Oetjen und Holger Zschäpitz über den Kurssprung von Garmin, den Absturz von Vertiv und die ETF-Warnung der Investorenlegende. Außerdem geht es um Microsoft, Meta, GE HealthCare, SK Hynix, Micron, Arm, Starbucks, Chipotle, Fortinet, Lam Research, Qualcomm, Robinhood, Rheinmetall, Kering, Hermès, DoubleLine, Xtrackers S&P 500 Equal Weight ETF (WKN: A1106A), Invesco NASDAQ-100 Equal Weight ETF (WKN: A3EE27), Invesco MSCI World Equal Weight ETF (WKN: A40G12), Zagrebačka Banka, UniCredit, Adris Grupa, Končar D&ST, Hrvatski Telekom, Valamar Riviera, Podravka, Končar-Elektroindustrija, Expat Croatia Crobex ETF (WKN: A2JB7C). Mit dem Code „AAAFRIENDS“ sparst du 50 Prozent auf dein Ticket – aber nur unter folgendem Link. https://veranstaltung.businessinsider.de/event/financesummit26/summary?rp=c6dc55d6-6f4f-4fb4-b75f-3f3501d84859 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 Anzeige: Eight Sleep: Der Pod 5 reguliert die Temperatur im Bett automatisch, trackt Schlaf- und Gesundheitswerte ohne Wearable und kann so zu besserem Schlaf beitragen. Mit dem Code ALLESAUFAKTIEN erhaltet ihr auf https://www.eightsleep.com/allesaufaktien bis zu 350 Euro Rabatt. 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 dem schwachen Vortag mit einer kräftigen Erholung, mit Rückenwind vor allem durch Microsoft. Der Softwarekonzern übertraf die Erwartungen bei Umsatz und Gewinn deutlich, Azure wuchs mit 43 Prozent stärker als erwartet und überschritt erstmals die Marke von 100 Milliarden US-Dollar Jahresumsatz. Zudem überraschte Microsoft mit einem robusten Ausblick und signalisierte trotz unverändert hoher Investitionen keine weitere Ausweitung der KI-Ausgaben. Genau das kommt an der Börse gut an, nachdem zuletzt die Sorge vor einer unkontrollierten Ausgabenflut im KI-Sektor zugenommen hatte. Meta zeigt dagegen die Kehrseite des KI-Booms. Zwar stieg der Umsatz um 28 Prozent, doch die Gewinne blieben wegen eines Anstiegs der Kosten um 55 Prozent hinter den Erwartungen zurück. Der freie Cashflow brach auf 784 Millionen US-Dollar ein, den niedrigsten Wert seit 2022. Wie dem auch sei, rechnete die Wall Street mit negativen Cashflow. Mark Zuckerberg bekräftigte die langfristige KI-Strategie, dämpfte aber Spekulationen über eine Vermietung überschüssiger Rechenkapazitäten. Insgesamt bleibt damit die zentrale Frage für die Wall Street bestehen: Wann beginnen sich die gewaltigen KI-Investitionen auszuzahlen? Bei weiteren Ergebnissen überzeugten Starbucks, Fortinet, Lam Research und Robinhood mit teils deutlich besseren Zahlen und angehobenen Ausblicken. Chipotle meldete ein solides Quartal und erhöhte die Prognose für das vergleichbare Umsatzwachstum, während Arm trotz guter Zahlen und eines ordentlichen Ausblicks unter hohen Erwartungen litt. Qualcomm enttäuschte dagegen mit schwächeren Margen und einem vorsichtigen Gewinnziel für das laufende Quartal. Auch Carvana blieb trotz höherer Umsätze bei den Margen hinter den Erwartungen zurück, während Bristol Myers Squibb, Cigna, KKR und L3Harris mit starken Ergebnissen und verbesserten Jahreszielen positiv auffielen. 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 * ► Direkt an der Börse handeln mit tradegate.direct: https://bit.ly/WallStreet_Juni * +++ 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 dem schwachen Vortag mit einer kräftigen Erholung, mit Rückenwind vor allem durch Microsoft. Der Softwarekonzern übertraf die Erwartungen bei Umsatz und Gewinn deutlich, Azure wuchs mit 43 Prozent stärker als erwartet und überschritt erstmals die Marke von 100 Milliarden US-Dollar Jahresumsatz. Zudem überraschte Microsoft mit einem robusten Ausblick und signalisierte trotz unverändert hoher Investitionen keine weitere Ausweitung der KI-Ausgaben. Genau das kommt an der Börse gut an, nachdem zuletzt die Sorge vor einer unkontrollierten Ausgabenflut im KI-Sektor zugenommen hatte. Meta zeigt dagegen die Kehrseite des KI-Booms. Zwar stieg der Umsatz um 28 Prozent, doch die Gewinne blieben wegen eines Anstiegs der Kosten um 55 Prozent hinter den Erwartungen zurück. Der freie Cashflow brach auf 784 Millionen US-Dollar ein, den niedrigsten Wert seit 2022. Wie dem auch sei, rechnete die Wall Street mit negativen Cashflow. Mark Zuckerberg bekräftigte die langfristige KI-Strategie, dämpfte aber Spekulationen über eine Vermietung überschüssiger Rechenkapazitäten. Insgesamt bleibt damit die zentrale Frage für die Wall Street bestehen: Wann beginnen sich die gewaltigen KI-Investitionen auszuzahlen? Bei weiteren Ergebnissen überzeugten Starbucks, Fortinet, Lam Research und Robinhood mit teils deutlich besseren Zahlen und angehobenen Ausblicken. Chipotle meldete ein solides Quartal und erhöhte die Prognose für das vergleichbare Umsatzwachstum, während Arm trotz guter Zahlen und eines ordentlichen Ausblicks unter hohen Erwartungen litt. Qualcomm enttäuschte dagegen mit schwächeren Margen und einem vorsichtigen Gewinnziel für das laufende Quartal. Auch Carvana blieb trotz höherer Umsätze bei den Margen hinter den Erwartungen zurück, während Bristol Myers Squibb, Cigna, KKR und L3Harris mit starken Ergebnissen und verbesserten Jahreszielen positiv auffielen. 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

CNBC reported that Qualcomm plans to raise prices during a memory crunch and issued light earnings guidance on July 29, 2026. Qualcomm supplies Snapdragon processors and 5G modems to smartphone, PC, and IoT makers, so pricing changes affect device costs and launch plans. Tight memory supply from vendors such as Micron, SK Hynix, and Samsung is lifting bills of materials across phones and laptops. Device makers may absorb costs, pass them to consumers, or redesign products, while carriers and retailers adjust promotions. Investors will watch average selling prices, gross margins, and inventory levels as guidance remains cautious. Founders should plan for component inflation, second source options, and potential slowdowns in device refresh cycles.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

A.M. Edition for July 29. Oil prices rise after Iran launches a surprise missile attack on U.S. forces. Plus, Europe's luxury brands try to move past years of sluggish demand. And as Meta spends big on its AI transformation—technology CEO Mark Zuckerberg says the U.S. should help to accelerate—Journal reporter Meghan Bobrowsky says a host of lawsuits could cost it billions. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The traders monitoring after-the-bell mega cap earnings like Meta, Microsoft and Qualcomm. Live reactions to the reports and what they mean for the tech market in the second half. Co-head of technology and portfolio manager at T. Rowe Price Tony Wang talks all things tech and where he thinks the best trades are in that market.Then, the Fed keeping interest rates at 3.5-3.75%. All the details from today's FOMC meeting and why Fed Chairman Warsh is praising the surge in high tech capex. Plus, earnings results from Starbucks, SK Hynix and more. Fast Money Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We welcome Adam Doud back to the show to provide the firsthand experience from Samsung Galaxy Unpacked plus hands-on with the new devices as Jason Howell and Ron Richards are amazed at how thin the new foldables actually are!Note: Time codes subject to change depending on dynamic ad insertion by the distributor00:07:49 - NEWSAndroid is in the center of a legal battle as GrapheneOS and Duress PIN are at the center of a criminal caseMore bad news on prices of phones as Qualcomm confirms chip prices are going up and reports of the Pixel 11 prices are increasingIf you're using Android 6.0, AKA Marshmallow, it's time to upgrade as Google cuts support making Android 7.0 the earliest supported versionPATRON PICK: Looking for an alternative to Google Photos? Look no further!00:40:15 - HARDWARESamsungs Galaxy Unpacked gets unpacked by Adam with a breakdown of the phones: The Galaxy Z Fold 8 Ultra, the Z Fold 8, the Z Flip 8,And of course the watches: The Galaxy Watch 9 and Galaxy Watch Ultra 2We were surprised to see the move to silicon carbon batteriesGoogle showed up to Galaxy Unpacked with some announcements01:09:34 - APPS 'n SOFTWARE 'n STUFFNow you can log into your Google Account with your face.Looks like you'll soon be able to tune your Daily Briefing to your personal tastes01:18:23 - COMMUNITY FEEDBACKBayou Byte Studio shared their new app, Journal Spaces - give it a download and check it out!Bob from Pennsylvania is curious what we think about the new Commodore Callback phoneBecky B. from New Jersey found a better TV Tracking app that works with Simkl called Cinopsys and it has widgets!Shane C. suggests Refract to replace TV Time Hosted on Acast. See acast.com/privacy for more information.

Listen for instant reaction and analysis of megacap tech earnings from Meta, Microsoft and Qualcomm. Meta Platforms gave a disappointing revenue forecast for the current quarter, intensifying investor concerns about the social media giant’s unprecedented spending on artificial intelligence and sending shares lower afterhours. Microsoft’s cloud unit grew at the fastest pace in four years, suggesting that the company’s computing infrastructure and artificial intelligence services continue to make inroads with businesses. Shares of Microsoft rose in extended trading. Qualcomm, the largest maker of smartphone processors, gave a weak profit forecast for the current quarter, signaling that component shortages and rising costs are taking a toll on its main market. The company’s stock fell afterhours. To break down all of this, Bloomberg Businessweek Daily hosts Carol Massar and Tim Stenovec speak with: Ed Ludlow, Host, Bloomberg Tech Mandeep Singh, Global Head of Technology Research, Bloomberg Intelligence See omnystudio.com/listener for privacy information.

Listen for instant reaction and analysis of megacap tech earnings from Meta, Microsoft and Qualcomm. Meta Platforms gave a disappointing revenue forecast for the current quarter, intensifying investor concerns about the social media giant’s unprecedented spending on artificial intelligence and sending shares lower afterhours. Microsoft’s cloud unit grew at the fastest pace in four years, suggesting that the company’s computing infrastructure and artificial intelligence services continue to make inroads with businesses. Shares of Microsoft rose in extended trading. Qualcomm, the largest maker of smartphone processors, gave a weak profit forecast for the current quarter, signaling that component shortages and rising costs are taking a toll on its main market. The company’s stock fell afterhours. To break down all of this, Bloomberg Businessweek Daily hosts Carol Massar and Tim Stenovec speak with: Ed Ludlow, Host, Bloomberg Tech Mandeep Singh, Global Head of Technology Research, Bloomberg Intelligence See omnystudio.com/listener for privacy information.

Crude futures are firmer after gapping higher overnight on escalating geopolitics, with Iran striking a US base in Jordan and subsequent US-Saudi strikes on Iranian-backed militia.European Bourses began the session on a softer footing but remain relatively resilient to the firmer oil prices and prior APAC weakness, with earnings also providing somewhat of a cushion/impetus in the absence of macro updates.US equity futures are modestly firmer (ES +0.2%, NQ +0.2%), supported by the KOSPI rebound, with focus firmly on the Fed decision.DXY is relatively uneventful, USTs are modestly softer, and precious metals are firmer but to varying degrees ahead of the FOMC. Looking ahead, highlights include the Fed Policy Announcement (Jul), BoC Minutes (Jul). Speakers include Fed Chair Warsh & RBA's Hunter. Earnings from SoFi, Microsoft, Meta, Arm, Qualcomm.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

US CENTCOM said IRGC forces launched multiple ballistic missiles from Iran towards US forces based in Jordan.Saudi Arabia's Defence Ministry said air defences intercepted and destroyed several drones, which had attempted to target petroleum facilities in the Eastern Region.US CENTCOM later announced that US and Saudi forces conducted strikes on Iran-backed terrorist sites in Iraq.Crude futures climbed as geopolitical tensions escalated (Brent Oct +2.8%); APAC was choppy, and sentiment deteriorated; Europe looks ahead to a subdued open.US equity futures, DXY, T-Note futures, and spot gold trade sideways ahead of FOMC.Looking ahead, highlights include Swedish GDP Flash (Q2), ECB Wage Tracker, US Atlanta Fed GDP, Fed Policy Announcement (Jul), BoC Minutes (Jul), Speakers including Fed Chair Warsh & RBA's Hunter, Supply from Germany, Earnings from SoFi, Microsoft, Meta, Arm, Qualcomm, L'Oreal, Hermes, Airbus, Porsche AG, BASF, UBS & Standard Chartered.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Neal sits down with Eric Weiss, a fellow longtime builder in San Diego's startup ecosystem. Eric is a self-described “parallel entrepreneur,” founder coach, President of the Design Forward Alliance - which produces San Diego Design Week—and Vice Chair of Startup San Diego.Neal and Eric first crossed paths during the early days of San Diego's startup community, around EvoNexus and the 101 Broadway vertical campus that helped give rise to Startup Week and Startup San Diego. They revisit that era and trace Eric's unconventional path from teenage black-hat hacker to earning an MBA in entrepreneurship at SDSU, followed by roles at Raytheon, Sony and Qualcomm. He eventually made the leap into the startup world with EvoNexus company Rock My Run.At the heart of the conversation is the connective tissue that makes an entrepreneurial community work. Neal and Eric discuss what San Diego lost after COVID, why “third spaces” and professional community management matter more than a coworking lease, and Eric's tendency to step into leadership vacuums - including helping San Diego become the first U.S. city, and first binational region, named World Design Capital.Eric also makes the case that San Diego's smaller, more tightly connected network—and its constraints - can be an advantage. The conversation closes with a preview of San Diego Design Week, running September 15–20, and a sleeper taco recommendation near the marina.Key topics* The “founding cradle”: EvoNexus, The Vine, and 101 Broadway* Reformed hacker to Raytheon, Sony (PS3), and Qualcomm data science* Why he's a “parallel entrepreneur” who falls into leadership vacuums* San Diego becoming the first American World Design Capital* Opening Design Week beyond digital - fashion, architecture, interiors* Connective tissue: third spaces and professional community management* San Diego vs. the Bay: tighter networks, constraints that filter imposters* Where San Diego wins: deep tech, hardware, and life science* The investor-vs-community-builder tension of being “the picker”Links & resources* San Diego Design Week (Sept 15-20, 2026)* Design Forward Alliance* Startup San DiegoConnect on LinkedIn* Neal Bloom* Eric Weiss This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit risingtidepartners.substack.com/subscribe

In der heutigen Folge sprechen die Finanzjournalisten Daniel Eckert und Holger Zschäpitz über Entspannung im Nahen Osten, Hoffnung auf schwindende KI-Konkurenz aus China und die besten aktiv gemanagten Tech-Fonds. Außerdem geht es um ChangXin Memory Technologies (CXMT), SK Hynix, Micron, Microsoft, Meta, ARM, Qualcomm, Grupo México, BHP, Rio Tinto, Vale, Petrobras, Ecopetrol, Itaú Unibanco, Nu Holdings, Amundi MSCI Emerging Markets Latin America ETF (WKN: A2H58P), iShares MSCI EM Latin America ETF (WKN: A0NA45) 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 Anzeige: Diese Folge enthält Werbung für Smartbroker+. Depot eröffnen, 30 € ETF als Bonus sichern und aus tausenden ETFs wählen. Smartbroker+ macht Investieren einfach. Alle Informationen gibt es unter: https://get.smartbrokerplus.de/triple-aaa-podcast2/ Anzeige: Eight Sleep: Der Pod 5 reguliert die Temperatur im Bett automatisch, trackt Schlaf- und Gesundheitswerte ohne Wearable und kann so zu besserem Schlaf beitragen. Mit dem Code ALLESAUFAKTIEN erhaltet ihr auf https://www.eightsleep.com/allesaufaktien bis zu 350 Euro Rabatt. Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Welcome to episode 489 of the Mobile Tech Podcast with guests Chris Patrick (Qualcomm) and Michael Fisher (Mr. Mobile) -- brought to you by Qualcomm. This episode comes in two parts. First, we talk about Qualcomm's contribution to the new devices Samsung launched at Galaxy Unpacked, including the Snapdragon 8 Elite Gen 5 for Galaxy and the Snapdragon Wear Elite SoCs. Second (18:32), we share our first impressions of Samsung's new folding phones and smartwatches, and dive into the pros and cons of the Galaxy Z Fold8 Ultra, Z Fold8, Z Flip8, Watch Ultra2, and Watch9. Enjoy :)Episode Links- Support the podcast on Patreon: https://www.patreon.com/tnkgrl- Donate / buy me a coffee (PayPal): https://tnkgrl.com/tnkgrl/- Qualcomm: https://www.qualcomm.com/ (sponsor)- Qualcomm at Galaxy Unpacked: https://www.qualcomm.com/snapdragon/news/meet-samsung-s-latest-flagship-devices-all-powered-by-snapdragon- Chris Patrick: https://www.linkedin.com/in/christopher-patrick-754611b0/- Michael Fisher: https://www.threads.com/@captain2phones- Michael's Galaxy Z8 series hands-on video: https://www.youtube.com/watch?v=nw5h-Vdeb6o- My Galaxy Z8 series hands-on article: https://hothardware.com/reviews/samsung-galaxy-z8-series-hands-on- My Galaxy Z8 series hands-on video: https://www.youtube.com/watch?v=5Z1lKw0EWRg- My silicon-carbon battery article: https://www.tomsguide.com/phones/i-interviewed-honor-and-oneplus-about-their-silicon-carbon-battery-tech-apple-and-google-are-quickly-falling-behindAffiliate Links (If you use these links to buy something, we might earn a commission)- Samsung Galaxy Z Fold8 Ultra: https://amzn.to/4wnFRqt- Samsung Galaxy Z Fold8: https://amzn.to/4fTJm2a- Samsung Galaxy Z Flip8: https://amzn.to/4fUqhwS- Samsung Galaxy Watch Ultra2: https://amzn.to/4pKqKVN- Samsung Galaxy Watch9: https://amzn.to/45lgppQ

O futuro dos computadores é ARM e tem Inteligência Artificial no centro. No mais novo episódio do Podcast do Canaltech, o repórter Diego Corumba conversa com Santiago Cardona, Head da Compute Business da Qualcomm para a América Latina. Durante o papo, Cardona revelou os bastidores da rápida expansão da linha Copilot+ PC no Brasil, a chegada iminente da 2ª geração dos chips com o Snapdragon X2, trazendo incríveis 80 TOPS de capacidade para IA e explicou como a arquitetura ARM consegue entregar o dobro de desempenho de processadores tradicionais fora da tomada. Além disso, o executivo rebateu os mitos sobre a compatibilidade de softwares em ARM, destacou a chegada de jogos como Fortnite e a loja do Xbox nativos, e deu detalhes sobre a tecnologia de segurança Snapdragon Guardian. Você também vai conferir: Galaxy AI pode chegar a 800 milhões de dispositivos até 2026 e Sony lança câmera profissional com gravação em até 5K. Este podcast foi roteirizado e apresentado por Fernanda Santos e contou com reportagens de Viviane França, Nathan Vieira e Renato Moura. A trilha sonora é de Guilherme Zomer, a edição de Livia Strazza e a arte da capa é de Erick Teixeira. O Podcast Canaltech está concorrendo para entrar no Top 20 do Prêmio iBest 2026! Se você acompanha nossos episódios, curte as entrevistas e gosta do conteúdo que produzimos todos os dias, sua ajuda pode fazer toda a diferença. Vote no Podcast Canaltech aqui. É rápido, gratuito e você pode votar até 3 vezes por dia.See omnystudio.com/listener for privacy information.

In der heutigen Folge sprechen die Finanzjournalisten Moritz Seyffarth und Philipp Vetter über den Magic-Effekt bei Hasbro, neuen Optimismus bei General Motors und ein neues Leasing-Programm von Apple und Klarna. Außerdem geht es um Micron Technology, ARM, Infineon, Tesla, 3M, Danaher, Northrop Grumman, Apple, Klarna, Amazon, Alphabet, Microsoft, Alibaba, AMD, Qualcomm, ASML, TSMC, den State Street SPDR S&P US Technology Select Sector (WKN: A14QB5), den iShares S&P 500 Energy Sector ETF (WKN: A142NX), den Xtrackers MSCI World Momentum UCITS ETF (WKN: A1103G) und den Xtrackers MSCI World Minimum Volatility UCITS ETF (WKN: A1103F). 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

What You'll Learn:00:00 Introduction02:13 Why Marketing Owns Zero Board KPIs08:54 There Is No Killer Marketing Campaign15:41 Why Your First 10 Customers Matter More24:16 The Biggest GTM Mistake Founders Make33:48 How AI Is Changing Customer Discovery43:11 Demand Generation Beats Chasing Leads53:02 Why Value Wins Over Price1:02:47 The New Rules of B2B Go-to-Market1:11:26 Rapid Fire with Alon WaksRethink your B2B SaaS GTM strategy from pipeline to persona SpotDraft's CMO Alon Waks shares the framework behind $100M raised and 450+ customers.Ask a B2B founder about their killer marketing campaign and most will have an answer ready. Alon Waks will tell you that answer is wrong. There is no killer campaign. There is no one channel. And most of what founders think of as marketing is stuck in one-to-many land when it should be one-to-few.That is where this conversation starts, and it does not slow down.Alon is the CMO at SpotDraft, the AI-powered contract lifecycle management platform backed by Vertex, Qualcomm, Prosus, and P&G Invest, now serving customers across the US, UK, and APAC. In this episode with Prime Venture Partners, he opens up the playbook he actually runs day to day:- How he defines persona versus segment (and why founders keep starting with the wrong one)- What changes as a company moves from 0 to 1 to 10 to 100- Why he thinks paid marketing has become a race to the bottom that most founders are still throwing money at.He also opens up his playbook for B2B influencer marketing, an angle most CMOs will not talk about publicly. He explains why validation has quietly shifted away from Gartner and toward peer-to-peer conversations on Reddit, LinkedIn, and community forums. And for the Indian founders trying to crack the US, he lays out exactly which cities matter, what not to do on outbound, and when to make your first local hire.Toward the end, Alon gets uncomfortably honest about what marketing actually owns on the board KPI list (spoiler: almost nothing) and why that changes everything about how you should measure your team.If you are a founder, a marketer, or a CMO building a B2B SaaS GTM strategy from scratch, this is the one to bookmark.Connect:Alon Waks on LinkedIn: https://www.linkedin.com/in/alonwaks/Spotdraft: https://www.spotdraft.com/Prime Venture Partners: https://www.primevp.in/Jerome Manuel on LinkedIn: https://www.linkedin.com/in/jeromermanuel/About Prime Venture Partners:Prime Venture Partners is an early-stage venture capital firm partnering with exceptional founders building category-defining companies from India.#GoToMarket #B2BMarketing

In der heutigen Folge sprechen die Finanzjournalisten Lea Oetjen und Moritz Seyffarth über Chips im Bärenmarkt, Boeings neue Hoffnung und was in dieser Woche sonst noch wichtig wird. Außerdem geht es um Apple, Nvidia, Meta, Alphabet, Netflix, Uber, Delivery Hero, Intuitive Surgical, Microsoft, Amazon, Alibaba, Baidu, Cisco, Micron Technology, AMD, Broadcom, TSMC, Qualcomm, Intel, Arm, Leverage Shares 2x Micron Technology ETP Securities (WKN: A3GUFU), Leverage Shares -3x Short Semiconductors (WKN: A4A5UP) und Leverage Shares -3x Short SpaceX (WKN: A4AVLN). Das ist der Link zum Artikel von Daniel: https://www.welt.de/wirtschaft/plus6a59e8adc72232627649939a/etps-auf-einzelaktien-die-479-prozent-wette-auf-den-ki-boom.html 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 Anzeige: Diese Folge enthält Werbung für Smartbroker+. Depot eröffnen, 30 € ETF als Bonus sichern und aus tausenden ETFs wählen. Smartbroker+ macht Investieren einfach. Alle Informationen gibt es unter: https://get.smartbrokerplus.de/triple-aaa-podcast2/ Anzeige: Eight Sleep: Der Pod 5 reguliert die Temperatur im Bett automatisch, trackt Schlaf- und Gesundheitswerte ohne Wearable und kann so zu besserem Schlaf beitragen. Mit dem Code ALLESAUFAKTIEN erhaltet ihr auf https://www.eightsleep.com/allesaufaktien bis zu 350 Euro Rabatt. Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

This week Jason Howell and Ron Richards sit down with Chris Patrick, Qualcomm's SVP and GM of Handsets and a 30-year company veteran, for a deep dive into the state of mobile. Patrick opens up about RAMageddon, how surging memory prices are squeezing phone costs at every level, and what Qualcomm is doing to innovate through it with techniques like model compression.Note: Time codes subject to change depending on dynamic ad insertion by the distributor0:00 Intro1:36 Introducing Chris Patrick from Qualcomm3:42 Interview Begins5:13 What Phone Does Qualcomm's Boss Carry?6:55 What Would've Been Impossible 30 Years Ago9:36 AI Becoming the New Phone UI13:00 On-Device AI: Perception, Reasoning, Action17:05 Engineering Chips for Foldables19:57 Inside the Qualcomm-Samsung Partnership23:18 Galaxy Unpacked Preview24:10 Are Wearables Replacing Smartphones?27:51 RAMageddon: Why Phone Prices Are Surging32:39 What Happens to Budget Android Phones36:19 Competing With Your Own Customers39:11 Snapdragon Summit 202641:02 Wrapping Up With Chris Hosted on Acast. See acast.com/privacy for more information.

It's time for episode 487 of the Mobile Tech Podcast with guest Nirave Gondhia of House of Tech -- brought to you by Mint Mobile. In today's show, we unbox and check out Nothing's Ear (3a) and Phone (4b), share our predictions for Samsung's Galaxy Unpacked event, review Apple's MacBook Neo, and lament the slow demise of OnePlus. We then discuss new phones from OnePlus and Redmi, and cover news, leaks and rumors from Samsung, Google, Apple, Qualcomm, Moto, and Huawei... Phew!Episode Links- Support the podcast on Patreon: https://www.patreon.com/tnkgrl- Donate / buy me a coffee (PayPal): https://tnkgrl.com/tnkgrl/- Support the podcast with Mint Mobile: https://mintmobile.com/mobiletech- Nirave Gondhia: https://www.threads.net/@niraveg- Nothing Phone (4b): https://www.youtube.com/watch?v=DUgPFNRmsCQ- Nothing Ear (3a): https://gizmodo.com/nothing-ear-3a-review-still-nothings-value-king-2000782330- Samsung's Galaxy Unpacked event is July 22: https://www.gsmarena.com/samsung_confirms_galaxy_unpacked_event_for_july_22_wide_foldable_expected-news-73621.php- Samsung's Galaxy Z Flip8 might be its last: https://www.gsmarena.com/samsung_might_discontinue_its_galaxy_z_flip_lineup_after_the_flip8-news-73647.php- Made by Google's Pixel event is Aug 12: https://www.gsmarena.com/google_officially_reveals_when_its_launching_the_pixel_11_series-news-73620.php- Apple's iPhone event likely on Sep 8: https://www.gsmarena.com/iphone_18_pro_series_foldable_iphone_likely_to_debut_on_september_8-news-73483.php- My Apple MacBook Neo review: https://hothardware.com/reviews/apple-macbook-neo-review- Apple's MacBook Neo now available refurbished: https://www.gsmarena.com/apple_starts_selling_refurbished_macbook_neo_bringing_the_price_down_to_its_prehike_level-news-73474.php- Qualcomm's Snapdragon Summit is Sep 22-24: https://www.gsmarena.com/qualcomm_snapdragon_summit_2026_date-news-73500.php- OnePlus now pushing Oppo devices :https://www.gsmarena.com/oneplus_is_now_selling_oppo_smartphones_tablets_watches_and_earbuds-news-73532.php- OxygenOS and Realme UI to be merged into ColorOS: https://www.gsmarena.com/insider_claims_that_oxygenos_and_realme_ui_will_be_merged_into_coloros-news-73568.php- OnePlus N6: https://www.gsmarena.com/oneplus_n6_arrives_with_8000mah_battery_and_dimensity_6360_max-news-73502.php- Redmi K90 Ultra: https://www.gsmarena.com/redmi_k90_ultra_is_here_with_the_snapdragon_8_elite_and_a_massive_builtin_active_cooling_fan-news-73509.php- Moto teases Edge 70 Max with Qi2 magnets: https://www.gsmarena.com/motorola_starts_teasing_the_edge_70_max_with_magnetic_wireless_charging-news-73607.php- Huawei teases Pura 90 with gradient colors, coming Jul 14: https://www.gsmarena.com/huawei_pura_90_pro_max_unveiled_with_200mp_4x_telephoto_pura_90_pro_tags_along-news-72452.phpAffiliate Links (If you use these links to buy something, we might earn a commission)- Nothing Ear (3a): https://amzn.to/4vpo4Om- Nothing Phone (4a) Pro: https://amzn.to/41MdvZx- Nothing Heaphone (a): https://amzn.to/4fhzXjH- Moto Razr Ultra 2025: https://amzn.to/4wz2iJ6- Google Pixel 10a: https://amzn.to/4bkei98

The aftermath of Apple's price hikes. Apple is taking its fight against Epic to the Supreme Court. More AI features coming to Apple's Creature Studio. And Apple is showing confidence in its upcoming iPhone Fold, expecting to sell 10 million units! America is having MacBook sticker shock. MacBook price hikes expected to contribute to 13.6% drop in global laptop shipments. Apple weighs buying RAM from two blacklisted Chinese suppliers to curb rising costs. Broadcom and Apple extend custom silicon pact to 2031. iPhone 18 Pro leaks: Qualcomm or Apple C2 model, A20 details, camera upgrades. Apple takes Epic fight over app store fees to the Supreme Court. Tim Cook's government liaison position comes into focus before stepping down as Apple CEO. Apple in Russia's crosshairs again, facing $52M fine for not installing state-required apps. If you wanted more AI in Apple's Creator Studio, Tuesday's update gives it to you. Safari's new MCP server lets coding agents inspect and debug websites. Siri AI can pull info from third-party apps in the latest developer beta. Apple to launch 5 new iPhone models to gain market share amid memory crunch. Confident Apple increases its iPhone Fold orders to 10 million. Apple TV teases major new sci-fi series: Neuromancer. iPhone 17 Pro Max buried in America's 250th anniversary time capsule: to be opened in 2276. Picks of the Week Glenn's Pick: Turtles! Jason's Pick: Default Folder X Andy's Pick: Readest Hosts: Leo Laporte, Andy Ihnatko, and Jason Snell Guest: Glenn Fleishman Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. 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: blackhat.com/us-26 and use code TWIT joindeleteme.com/twit promo code TWIT

The aftermath of Apple's price hikes. Apple is taking its fight against Epic to the Supreme Court. More AI features coming to Apple's Creature Studio. And Apple is showing confidence in its upcoming iPhone Fold, expecting to sell 10 million units! America is having MacBook sticker shock. MacBook price hikes expected to contribute to 13.6% drop in global laptop shipments. Apple weighs buying RAM from two blacklisted Chinese suppliers to curb rising costs. Broadcom and Apple extend custom silicon pact to 2031. iPhone 18 Pro leaks: Qualcomm or Apple C2 model, A20 details, camera upgrades. Apple takes Epic fight over app store fees to the Supreme Court. Tim Cook's government liaison position comes into focus before stepping down as Apple CEO. Apple in Russia's crosshairs again, facing $52M fine for not installing state-required apps. If you wanted more AI in Apple's Creator Studio, Tuesday's update gives it to you. Safari's new MCP server lets coding agents inspect and debug websites. Siri AI can pull info from third-party apps in the latest developer beta. Apple to launch 5 new iPhone models to gain market share amid memory crunch. Confident Apple increases its iPhone Fold orders to 10 million. Apple TV teases major new sci-fi series: Neuromancer. iPhone 17 Pro Max buried in America's 250th anniversary time capsule: to be opened in 2276. Picks of the Week Glenn's Pick: Turtles! Jason's Pick: Default Folder X Andy's Pick: Readest Hosts: Leo Laporte, Andy Ihnatko, and Jason Snell Guest: Glenn Fleishman Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. 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: blackhat.com/us-26 and use code TWIT joindeleteme.com/twit promo code TWIT

The aftermath of Apple's price hikes. Apple is taking its fight against Epic to the Supreme Court. More AI features coming to Apple's Creature Studio. And Apple is showing confidence in its upcoming iPhone Fold, expecting to sell 10 million units! America is having MacBook sticker shock. MacBook price hikes expected to contribute to 13.6% drop in global laptop shipments. Apple weighs buying RAM from two blacklisted Chinese suppliers to curb rising costs. Broadcom and Apple extend custom silicon pact to 2031. iPhone 18 Pro leaks: Qualcomm or Apple C2 model, A20 details, camera upgrades. Apple takes Epic fight over app store fees to the Supreme Court. Tim Cook's government liaison position comes into focus before stepping down as Apple CEO. Apple in Russia's crosshairs again, facing $52M fine for not installing state-required apps. If you wanted more AI in Apple's Creator Studio, Tuesday's update gives it to you. Safari's new MCP server lets coding agents inspect and debug websites. Siri AI can pull info from third-party apps in the latest developer beta. Apple to launch 5 new iPhone models to gain market share amid memory crunch. Confident Apple increases its iPhone Fold orders to 10 million. Apple TV teases major new sci-fi series: Neuromancer. iPhone 17 Pro Max buried in America's 250th anniversary time capsule: to be opened in 2276. Picks of the Week Glenn's Pick: Turtles! Jason's Pick: Default Folder X Andy's Pick: Readest Hosts: Leo Laporte, Andy Ihnatko, and Jason Snell Guest: Glenn Fleishman Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. 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: blackhat.com/us-26 and use code TWIT joindeleteme.com/twit promo code TWIT

The aftermath of Apple's price hikes. Apple is taking its fight against Epic to the Supreme Court. More AI features coming to Apple's Creature Studio. And Apple is showing confidence in its upcoming iPhone Fold, expecting to sell 10 million units! America is having MacBook sticker shock. MacBook price hikes expected to contribute to 13.6% drop in global laptop shipments. Apple weighs buying RAM from two blacklisted Chinese suppliers to curb rising costs. Broadcom and Apple extend custom silicon pact to 2031. iPhone 18 Pro leaks: Qualcomm or Apple C2 model, A20 details, camera upgrades. Apple takes Epic fight over app store fees to the Supreme Court. Tim Cook's government liaison position comes into focus before stepping down as Apple CEO. Apple in Russia's crosshairs again, facing $52M fine for not installing state-required apps. If you wanted more AI in Apple's Creator Studio, Tuesday's update gives it to you. Safari's new MCP server lets coding agents inspect and debug websites. Siri AI can pull info from third-party apps in the latest developer beta. Apple to launch 5 new iPhone models to gain market share amid memory crunch. Confident Apple increases its iPhone Fold orders to 10 million. Apple TV teases major new sci-fi series: Neuromancer. iPhone 17 Pro Max buried in America's 250th anniversary time capsule: to be opened in 2276. Picks of the Week Glenn's Pick: Turtles! Jason's Pick: Default Folder X Andy's Pick: Readest Hosts: Leo Laporte, Andy Ihnatko, and Jason Snell Guest: Glenn Fleishman Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. 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: blackhat.com/us-26 and use code TWIT joindeleteme.com/twit promo code TWIT

We've been running a bit of an Agent Cloud series surveying all the top inference/compute/cloud providers, from Databricks to Daytona to Railway and, even further back, E2B, but we're excited to conclude this series returning to Modal, which has just raised a monster $355M Series C.The cloud was built for developers. But agents are now changing that.The old infra stack was designed for a human who could read docs, reason through YAML, and understand dashboards to figure out what they need when something broke. While this was painful for developers, it worked since they could fill in missing context in their heads.However, agents don't have that luxury. Now in this new era of agents, everything has to be tighter.They need a place to write code, run it, inspect the output, change the environment, debug failures, and try again. Fast iteration and feedback loops with all the necessary context are crucial for agents to operate properly. Furthermore, sandboxes are a clear representation of this shift as agents can easily spin up isolated environments. This programmatic infra even extends to research:Two years ago, we were one of the first to cover Modal with CEO Erik Bernhardsson and Alessio designed our favorite LS thumbnail of all time:At the time, Modal was just a teeny little company with a $17M Series A.Today, fresh off their $355M Series C, Modal is one of the clearest examples of the agent cloud future being built in real time: a cloud platform moving past traditional web app assumptions toward the workloads AI actually creates such as elastic inference, sandboxes, GPU burst, post-training, background agents, and infrastructure that agents themselves can operate.In this episode, Modal CTO Akshat Bubna joins swyx and Vibhu to unpack why AI applications don't fit traditional cloud assumptions, why Kubernetes was never designed for bursty compute-heavy workloads, and why Modal is now shifting from developer experience to agent experience.We go deep on Modal's AI infra stack: serverless functions, decorator-based infrastructure, elastic inference for custom models, GPU snapshotting, DeFlash, speculative decoding, Auto Endpoints, sandboxes, persistent storage, networked containers, private IPv6, RDMA, multi-node training, and Modal's capacity pool across 17 cloud providers. Akshat also explains why RL rollouts can require 100,000 sandboxes, why production agents need hard guardrails, why observability may matter more than reading code, and why AI has made infrastructure exciting again.We discuss:* Why Kubernetes wasn't built for bursty AI workloads* How Modal started as a better runtime before becoming an AI cloud* Why Modal added GPUs before ChatGPT* The shift from developer experience to agent experience* Why observability matters when agents are writing the code* Elastic inference for custom models across audio, video, robotics, and comp bio* GPU snapshotting, cold starts, and why inference workloads are so bursty* Why RL rollouts can require 100,000 sandboxes* DeFlash, speculative decoding, and frontier-level inference performance* Auto Endpoints and making optimized inference easier to deploy* What Modal adds beyond vLLM, SGLang, and raw GPU rental* Modal's 17-cloud capacity pool and supercloud strategy* Networked sandboxes, sidecars, private IPv6, and RDMA* Serverless multi-node training for post-training and research workloads* Auto-research, model-guided sweeps, and agents launching GPU experiments* Compute strategy, capacity planning, and batch tiers* Why production agents need specialized sandboxes and hard guardrails* Modal's take on managed agents, CI, Gitpod/Ona, Python, TypeScript, and Modal BenchAkshat Bubna* LinkedIn: https://www.linkedin.com/in/akshat-bubna-188885103* X: https://x.com/akshat_bModal* Website: https://modal.comTimestamps00:00:00 Introduction00:00:39 Modal's origin and why Kubernetes wasn't enough00:04:32 Developer Experience → Agent Experience00:06:21 Modal's AI cloud primitives00:09:14 Sandboxes, agent loops, and proto-Cognition00:12:12 Elastic inference, GPU snapshotting, and 100,000 sandboxes00:15:24 DeFlash, speculative decoding, and Auto Endpoints00:19:59 Production-grade inference beyond raw GPUs00:22:00 Background agents, Ramp Inspect, and the agent lifecycle00:24:08 Modal's 17-cloud supercloud strategy00:26:40 Networked sandboxes, private IPv6, and RDMA00:32:48 Multi-node training, post-training, and auto research00:37:36 Compute strategy, capacity planning, and batch tiers00:40:55 Open models, real-time AI, and production agent infra00:43:06 Hard guardrails, managed agents, and specialized sandboxes00:46:06 Why AI made infrastructure exciting again00:48:30 Model APIs, differentiated products, and agentic video00:51:50 CI, coding-agent infra, SDKs, and Modal Bench00:57:28 Closing ThoughtsTranscriptIntroduction: Modal, Series C, and the Art PartySwyx [00:00:00]: We're here with Akshat, CTO of Modal, together with Vibhu. Congrats on your Series C.Akshat [00:00:10]: Thank you.Swyx [00:00:11]: Your party yesterday was amazing.Akshat [00:00:15]: Yeah.Swyx [00:00:15]: From all the photos and all the swag.Akshat [00:00:17]: We had a bunch of art installations, which was fun, seeing, like, our products on pedestals next to, like, Rodin.Swyx [00:00:25]: Very nice. Very nice. When you started, it was not the GPU inference company. Maybe it was in your mind. Take us back to the origin story.Modal's Origin: A New Runtime Beyond KubernetesAkshat [00:00:39]: I first met Eric, who's the CEO, through an investor. Back then Eric was already thinking about building, a new runtime, and he got there thinking through why are workflow orchestration products so hard to use. It's because you have to run them on Kubernetes. Kubernetes is hard to manage. It's not built for burstiness and, custom images,Swyx [00:01:03]: YeahAkshat [00:01:03]: It has a terrible developer experience.Swyx [00:01:05]: And I'll, I'll interjectAkshat [00:01:06]: YeahSwyx [00:01:07]: For listeners, who are new, we interviewed Eric two years ago, and there's a bit more of the story there from Spotify and all those things.Swyx [00:01:14]: And I came across Eric through Data Council because he did that talk on the serverless container stack that you guys did, which was like, that was my first like, “Okay, I need to take Modal very seriously” moment.Akshat [00:01:26]: Yeah.Swyx [00:01:26]: But it was still very unclear, like, do I need all this for just my data pipelines?Akshat [00:01:33]: Yeah. initially what we were thinking about was if we build a better runtime, it's a very useful primitive in itself. It's There's a lot of things that, get solved by serverless functions, like you can do, ETL stuff, you can do job queues, you can do all this, like, bursty processing, which it turns out every company had needs for. but then we also were thinking about this as like, this is a primitive that we can build a whole collection of products on, which are very verticalized. So perhaps data engineering would've been the first one, but we were thinking about inference. Back then it was more classical inference, like computer vision stuff and running XGBoosts and whatnot. But we added GPUs to the product a year before ChatGPT came out.From Serverless Containers to GPU WorkloadsSwyx [00:02:19]: Nice.Akshat [00:02:19]: We just didn't think it would be that big of a deal.Swyx [00:02:22]: Yeah, just like add A100.Vibhu [00:02:23]: Was there any, like, early key problem that really sparked off why you built it?Akshat [00:02:28]: Yeah. Primarily it's just, none of the tooling that was out there was built for, one, a really great developer experience, and also there's a general trend of, a lot of the workloads that we were seeing were very. I wish there was a better word for it, but compute-heavy. Like, they need, one, like, need a lot more resources, so you need to burst up and down a lot, versus like Kubernetes designed for, like, slow scaling and, more for, like, web server use cases. And also there's just a lot more specialization in, like, what kinds of environments these workloads run in. Like, we had sometimes they need accelerators, sometimes they need different kinds of images, and this is just like a consistent thing that we saw across a lot of companies. That would be the next step.Software-Defined Infrastructure and Decorator-Based DXSwyx [00:03:13]: Yeah. Yeah. Be nice. I don't know how much this factored into the early story, but I wrote a post when I was at Temporal about infrastructure, software-defined infrastructure or something like that.Akshat [00:03:22]: Yeah, the self-provisioningSwyx [00:03:23]: Self-provisioning.Akshat [00:03:24]: Yeah.Swyx [00:03:24]: Yeah. I can't even remember my own post.Swyx [00:03:26]: And then you put me on the landing page.Akshat [00:03:28]: Yeah. We really like, the term and so we stole it.Swyx [00:03:32]: Because you had the insight that everything can just be in decorators co-located with the code, right?Akshat [00:03:37]: Yeah.Swyx [00:03:37]: Was that a big part of the originalAkshat [00:03:39]: YesSwyx [00:03:39]: Story or it was just like a DX layer?Akshat [00:03:41]: That was, really important because we really didn't want people to spend, so much time, writing YAML, and it seemed like you could really condense the surface area of what you're doing, put it in code so you can operate on it just like you operate on other code, and like build stuff that's more expressive and dynamic. and so yeah, that was always a very important part.Swyx [00:04:04]: Then the pushback is this is a DSL.Akshat [00:04:07]: Yeah.Swyx [00:04:07]: It's you're closed source. I am locked into Modal.Akshat [00:04:11]: Yeah. We never really got pushback for that because the nice thing about Modal is you can bring whatever code you have, and sure, the DSL is at the configuration layer for, what hardware you're using, how you're scaling things up, but you still own the code.Akshat [00:04:27]: And that's, that's been an important, part of our story, even as we do inference now.Swyx [00:04:32]: Yeah.Vibhu [00:04:32]: How much of do you think still stays the same today? Like if you were to build something today, DevX very important, but I feel like, a lot of this has been changed with just hook it up to an agent, have Claude Code, have Codex implement a tool. there's very agent native primitives that are different than if I'm doing this myself, right?Developer Experience → Agent ExperienceAkshat [00:04:54]: We've changed our SDK team to think about agent experience instead of, developer experience and we think that the same benefits that apply for DX also apply for AX, which is why would you have an agent read through hundreds of Kubernetes files and like write YAML that's not even typed when it can make a couple of changes in a decorator and it gets this self-provisioning runtime of, being able to see its changes live in action? yeah, it just seems from the customers we talk to, they find Modal is much faster for agents to use versus operating on a different substrate.Swyx [00:05:34]: Yeah, because like you, again, you co-locate the infrastructure requirements to the code that runs it.Akshat [00:05:38]: Yeah.Swyx [00:05:38]: Well, the negative thesis now is that nobody's looking at their code anymore, so there's no point.Akshat [00:05:44]: Yeah, people aren't looking at code. one thing we still see is really important is observability.Swyx [00:05:51]: Yeah.Akshat [00:05:51]: Like how good is your dashboard? And of course, like we have, we push a lot of it to the CLI so the agents can do their own investigation, but you still need humans to go interpret what's going on and, make judgment calls and whatnot. and that's I feel like, Maybe more important now than looking at the code itself.Swyx [00:06:11]: Yes, because like, you can try to treat the code as a black box and then use, see the observable action that comes out of it, and then just prompt a change.What Modal Is For: AI Cloud PrimitivesAkshat [00:06:21]: Yeah.Swyx [00:06:22]: So I think it takes a bit of restraint to not specialize, to say, “I want to ship a new primitive,” and then just be general purpose.Swyx [00:06:31]: People ask you, “What are you for?” You're like, “ I don't know. We can do this, we can do that.”Vibhu [00:06:36]: Well, I'd be curious to see, like, okay, if we were to ask you, like, what is Modal for even at a high level? There's a lot you guys do, sandboxes, GPUs, everything. How do you answer?Akshat [00:06:46]: Modal is a cloud platform that's built for, where we've built the primitives from scratch for AI applications. and right now it covers, inference, training, batch processing, and sandbox workloads.Akshat [00:07:00]: But we're building a lot moreSwyx [00:07:02]: I noticed you didn't say web server, so there is still a role for, like, the always-on large-scale Kubernetes type things.Akshat [00:07:09]: Yeah, absolutely. We're, we're not trying to compete with the renders of the world, because yeah, we think the differentiator for us is the, are the workloads that need specialized compute, need to scale up and down a lot. yeah, they're, they're, they're just shaped differently.Working Alongside Frontier StartupsVibhu [00:07:26]: I think you're building a lot of it alongside the startups, right? They're innovating quite a bit, even in your, like, latest blog post. Like, even in the series C, the customers that you mention here, the cognitions, technical ones, ramps and whatnot, they're, they're innovating with you, right? And that's not something AWS is doing directly with.Akshat [00:07:45]: Yeah, absolutely. I think, this is again classic. We're a small team. We can move really fast. our engineers are working with our customers and figuring it out. Yeah.Swyx [00:07:54]: So my first week at Cognition, I walked in, there was someone wearing a Modal shirt. I was like, “What are you doing here?” They're like, “Yeah, I just. I am embedded inside of Cog.”Akshat [00:08:05]: Yeah, I think that was Peyton. We sent him overSwyx [00:08:07]: Yeah.Akshat [00:08:07]: Because, the latency of communication was too high otherwise.Swyx [00:08:12]: Yeah, distributed node, you have to - you have to place one and collocate.Vibhu [00:08:16]: Yeah.Swyx [00:08:16]: So I had a, I had direct personal experience, right? So I worked on smol developer three years ago. it was inspired by Claude 1. I think you onboarded me at some point, like, just before, and I was like, “Oh, like, I need some bursty compute. Like, I was just gonna try using Modal.” And it was a, it was a pretty pleasant experience. apparently, I showed up in the board meeting, like the analytics.smol developer, Sandboxes, and Proto-CognitionAkshat [00:08:39]: Yeah, you blew up on Hacker News and,Swyx [00:08:41]: YeahAkshat [00:08:41]: We got a big traffic spike. I. I think the way you used smol developer was Modal functions for running stuff, which was. Like, the, that was a good use case. but then, yeah.Swyx [00:08:53]: Yeah. That - So to me, that was proto-cognition.Akshat [00:08:55]: Right.Swyx [00:08:56]: If only I had, like, stuck to it.Swyx [00:08:58]: Like, that was like, if - did you say draw the tech treeAkshat [00:09:00]: AbsolutelySwyx [00:09:00]: You're just like, “Yeah, like, probably this will happen.”Akshat [00:09:02]: Yeah. Like, he was so close. You were just rebuilding upon usSwyx [00:09:04]: I just didn't realize.Akshat [00:09:05]: But the funny story there is at the same time, we were talking to a bunch of customers who needed something like sandboxing.Swyx [00:09:14]: Yeah.Akshat [00:09:14]: This is like twenty-three.Swyx [00:09:15]: Yeah.Akshat [00:09:16]: So we builtSwyx [00:09:17]: You introduced a new API right after that.Akshat [00:09:18]: Yeah.Swyx [00:09:19]: Yes.Akshat [00:09:19]: Like, we built sandboxes in May of twenty-three before anyone was even knew this was gonna be a thing. And the first example we published was, we took smol developerSwyx [00:09:28]: Smol developerAkshat [00:09:28]: And put it in a loop, so the agent can iterate on itself.Swyx [00:09:33]: Loops are hot these days.Vibhu [00:09:34]: It's the looper.Akshat [00:09:34]: Yeah.Vibhu [00:09:35]: Loops in. When was this, twenty-three?Akshat [00:09:38]: Yeah.Vibhu [00:09:39]: A small check.Akshat [00:09:39]: Yeah.Swyx [00:09:39]: It's like twenty-three. so the. the, those for listeners, like, the problem was the models are not built for any of this, right?Swyx [00:09:46]: Like, you're just trying to like. They're not post-training to understand, like, looping and, like, self-correction and tool calling was there, but, like, also not that great.Akshat [00:09:55]: Yeah.Akshat [00:09:55]: I don't remember if you used tool calling in this one, but yeah, the models would just diverge after like ten iterations and not produce anything meaningful.Swyx [00:10:03]: Yeah. But like, then. So okay, like now talking to myself three years ago, the answerVibhu [00:10:08]: Of course they will get betterSwyx [00:10:09]: Collect all the failures, build benchmark, and then collect all the, examples, build the RL environmentAkshat [00:10:15]: RightSwyx [00:10:15]: Sell it for like ten billion dollars to Meta.Swyx [00:10:17]: And then also train a model and then sell that for sixty billion dollars to Elon. And this isAkshat [00:10:23]: Yeah, of courseSwyx [00:10:23]: The funny machine. Like, it's like, it's about the hardware.Akshat [00:10:28]: It's hard to have that inherent conviction that the stuff will get that much better.Swyx [00:10:33]: In retrospect, it's so f*****g obvious.Akshat [00:10:36]: Fair enough.Swyx [00:10:37]: Like, what else were we doing back then? I don't know. anyway. Yeah. So this. That was the start of your sandboxing journey, right? I feel like it didn't blow up until, like, last year.Akshat [00:10:49]: Yeah.Swyx [00:10:50]: So there was like a couple years of quietness.Akshat [00:10:52]: Exactly, yeah. We wereVibhu [00:10:53]: I think very underrated product value. Like, my experience with Modal, Charles, before he had joined Modal, met this guy at a hackathon, and he really insisted we wanted to run some small model, not hosted anywhere, and he's like, “ there's this cool company, Modal. They'll like spin up a GPU sandbox, we can throw it on there. They'll take a Hugging Face link.” And like there's so much value just right there, right? Like instant hosting, spin it up, spin it down. It'll stay cold, but we run the demo a few days later, it'll come back up and like all this stuff in retrospect, like it's still what we needed like today.Akshat [00:11:27]: Yeah, it's still needed today. workload shapes have changed a lot as, we run stuff for people with really massive production scale and, there it's it's not about scaling from zero to one, but it's how do we scale really elastically, from like thousand to fifteen hundred GPUs very quickly in a given region. It's the same shape problem.Elastic Inference, GPU Autoscaling, and Custom ModelsVibhu [00:11:50]: Okay. So you look at, say, Cursor Composer, right?Akshat [00:11:53]: Yeah.Vibhu [00:11:53]: They had a. “We'll do RL on a model every couple hours.” you guys have a whole version of RL inference gym and whatnot.Vibhu [00:12:01]: When you look at workloads like that, you're doing train runs where you need to scale up, scale down every hour thousands of GPUs, right? That's the example for we do need it, right?Akshat [00:12:12]: Yeah. Well, so I'll, I'll take a step back and, maybe talk about like how people use Modal today. because our biggest use case is, elastic inference. And the thing we first found product market fit, with was inference for custom models. So we stayed away from the LLM space, and we were serving companies like Suno for audio, Runway for video, robotics, comp bio companies that train their own model elsewhere. But Modal is the best black box that for deployment, scaling to however many GPUs you need as your traffic pattern changes. And we saw all of them like have a very unpredict- predict- predictable, traffic pattern. it's like diurnal. It's Some days, like the company will do a launch and, they'll need like, way more. And it's not just one model that they deploy. They-- all these companies deploy, lots of different models in different regions, and so the autoscaling problem becomes even harder because then you have to scale within a certain region, and those cycles are offset. So different times you scale up in different regions.Akshat [00:13:20]: So that's like our sortVibhu [00:13:22]: And thatAkshat [00:13:22]: YeahVibhu [00:13:22]: That in and of itself is a huge category. There's a bunch of inference providers which, provide this fireworks, does this as a service together, whatnot, Base10. that's carved into its own niche for language models, at least right now.Akshat [00:13:36]: Yeah. the thing that we have specialized in is the autoscaling aspect.Vibhu [00:13:41]: Yeah.Akshat [00:13:41]: Because we found that it's not universally true that everyone else can autoscale, and we've gone deeper into it on the tech side by, we've incorporated GPU snapshotting into the product so we can take the GPU state, like your torch.compile model, snapshot it, and the next cold start is way faster. And so going back to your question, it's That's why you need a lot of burstiness for inference. But then people also do a lot of demand training, like for RL stuff, your rollouts are bursty, as you said. People also do a lot of batch jobs. So we'll see, a lot of companies, before they have a training run, they'll need thousands of GPUs to run encoding or something like that. And I think those things are much more bursty than. I agree that agents are not that bursty. sandboxes are, except when you're doing RL. RL is justRL, Batch Jobs, and 100,000 SandboxesVibhu [00:14:28]: Or commerceAkshat [00:14:28]: Insanely bursty.Vibhu [00:14:29]: Yeah.Akshat [00:14:30]: Yeah. Like when you're doing, rollouts, you sometimes need a hundred thousand sandboxes in your sandboxes.Vibhu [00:14:37]: Yeah. I'm curious if you've seen early sparks of continual learning. There are some people, like our friends, ngram, recently announced thisAkshat [00:14:45]: YeahVibhu [00:14:45]: They're, they're trying to do training. That also seems like a different workload, right? If you're doing training twenty-four/seven per se, there's a very weird dynamic of how you're using GPUs between people and whatnot, but seems like something you guys would work for.Akshat [00:15:00]: As you said, we're, we're fortunate to work with a number of, customers at the frontier and grab some of our customers. and they are taking the primitives we have, and trying to use them in very interesting ways, like continual learning. It's possible as the stuff gets better, some of that will be part of, our offering as well if, more people need it. but we're, we're just waiting to seeVibhu [00:15:23]: YeahAkshat [00:15:23]: How it shakes out.Vibhu [00:15:24]: Is there a primitive that you added after sandboxing that was the next step in the story?LLM Inference, DeFlash, and Speculative DecodingAkshat [00:15:32]: I guess we've been going much deeper into LLM inferenceVibhu [00:15:35]: YeahAkshat [00:15:35]: Because we realized that some of the advantages we have with like autoscaling, again, especially in different regions and whatnot, are, not present elsewhere. and the place where we had a gap was we weren't, working on the model layer itself. Like we were a black box. And, we realized that, we can get to frontier-level model performance, with, by having great people who work on this. And, we've been open sourcing a lot of our work, in terms of, Recently, we, shared our work on DeFlash, which is a block-based, speculator, and we've open sourced, all of it. So, you can - By using open source DeFlash, you can get the same performance as you would with one of the proprietary providers. And the next thing we're thinking about hereVibhu [00:16:23]: I thought this wasAkshat [00:16:24]: YeahVibhu [00:16:24]: An interesting blog post as well, right? Like, I think in here you make a claim that. Not a claim, just that how effective speculative deco-decoding really just get to.Akshat [00:16:33]: Yeah.Vibhu [00:16:33]: Anything you wanna point out from this around, what people should know?Akshat [00:16:39]: Yeah, absolutely. the high-level summary is, it would help to describe what speculative decoding is.Vibhu [00:16:44]: Yes.Akshat [00:16:44]: I will, yes.Vibhu [00:16:45]: I think, likeAkshat [00:16:46]: YeahVibhu [00:16:46]: So we've covered like Eagle and all thisAkshat [00:16:47]: YeahVibhu [00:16:47]: Like Hydra and all those things, but it was like two years ago.Akshat [00:16:51]: Yeah.Vibhu [00:16:51]: I think it doesn't hurt, right?Akshat [00:16:52]: Yeah. Speculative decoding is you have a smaller model, called a draft model, predict tokens ahead of the bigger model, and then you have the bigger model, verify all of this, all the tokens are predicted. And the reason it's faster is if you're predicting, one token at once, you're bound by memory bandwidth. But if you can batch the verification of, the draft model, then you're much more efficient using compute, and it's faster, and as long as your draft model is producing a lot of tokens that can get accepted, which is called the accept length, you can get a speed up that's, multiple times of, the original model speed. and well, that's what we highlight here. It's Like people talk a lot about we made these kernels faster and whatnot, but improving kernel will only give you like few percentage points of improvement, and, increasing accept length, literally is a multiplicative decreaseVibhu [00:17:47]: Like two to four X.Akshat [00:17:48]: Yeah, exactly.Vibhu [00:17:48]: Without much head-on performance.Akshat [00:17:50]: Yeah. I think it may - you are running a second model, right? So it may be something more expensive in the compute,Vibhu [00:17:57]: I meant quality performanceAkshat [00:17:58]: Probably not by muchVibhu [00:17:58]: But yeah. I thinkAkshat [00:17:59]: So there's no drop in quality performanceVibhu [00:18:01]: YeahAkshat [00:18:01]: Because you're always. You're never accepting a token that the big modelVibhu [00:18:04]: It's strictly betterAkshat [00:18:05]: YeahVibhu [00:18:05]: Or it's same.Akshat [00:18:06]: Exactly.Vibhu [00:18:07]: Right. Yeah.Akshat [00:18:08]: And so we've been working a bunch on DeFlash, which is a block-based speculator. so it's instead of predicting, one token at a time, it's predicting a block. And we've been open sourcing our work with it. The next thing for us here is for helping people train speculators and custom models. it's it's something that traditionally is very forward-deployed engineering driven, support deployed, engineer driven, like you work with customers and help them do that. And our vision for. This is why we launched Auto Endpoints, is we want to make frontier-level performance available to everyone. And so, we mentioned this in the announcement, we teased it. The next thing we're, we're launching is, as you run an auto endpoint, we shadow trafficAuto Endpoints and Frontier-Level PerformanceVibhu [00:18:54]: Do you want to explain what auto endpoints are?Akshat [00:18:57]: Yeah.Vibhu [00:18:57]: I lovely, yeah.Akshat [00:18:58]: Yeah. So, this is, I guess, going back to your Modal is you touch the code, but, sometimes people don't wanna touch the code, and they wanna get started with an endpoint that works and has all the great performance and, scalability that Modal has. So we've made that easier with, a way to create an endpoint from our UI, from the CLI, that has all of our optimizations that we talked about, like the DeFlash stuff already baked in, and there's full transparency. So we give you the code, you can go run it yourself, and if you want, you can eject out into the full Modal experience, which we see as people get sophisticated, they do wanna tweak the models, they wanna, fine-tune stuff. You can still do all of that. It's it's not a black box. And yeah, the next thing, as we teased later in the post, is how do we give you value even beyond this in terms of having your draft models evolve as your data distribution evolves, again, without having to talk to a person and, yeah.Vibhu [00:19:59]: I guess just to understand it directly, you have the GPUs, you have an endpoint that's compatible, you serve open model. If someone was to do this themselves, what's the delta that you guys provide? So you do a lot of open source great work on effective inference. how does it compare to, say, I take the same model, 5.2 FP8, take shelf inference engine, vLLM, SGLang, get compute of similar capacity, similar cost. What's the delta that plugging into something this, like this offers outside of the benefit of, scaling?Production Inference Beyond Raw GPUsAkshat [00:20:34]: It's interesting because we've taken the approach of open sourcing our contributions and upstreaming them. we work closely with the SGLang team. We want the improvements that our team, comes up with to be, there in open source for others to use, even outside of Modal. The benefit to us is we have a team that has significant expertise in terms of if you do have something that is not there, our team can help you get that performance, first. the other thing is with these endpoints, we are way more elastic, as you said, than, anyone else, and you have true scaling to zero. you have true, burstiness, and in practice, that matters a lot more to people than just finding, the GPU and, running Modal code on something.Vibhu [00:21:20]: Yeah. And I will say it's not that straightforward to just. like what I said is easier said than done, right?Akshat [00:21:26]: Yeah.Vibhu [00:21:27]: It's I think still for the average person, still hard to just gut check using different. There's, there's quite a bit of combinations you can make there. the trade-offs aren't really known at face value.Akshat [00:21:40]: Yeah. it's it's not just that. I think it's it's that running production-grade inference is a hard infer problem.Vibhu [00:21:49]: YeahAkshat [00:21:49]: Even if you subtract out the autoscalingVibhu [00:21:50]: YeahAkshat [00:21:51]: Is controlling things like tail latency and, making sure every, request is delivered at least once and whatnot.The Model and Agent LifecycleVibhu [00:22:00]: There's a lot of innovation that you can do here. I think, it's very interesting that you're starting to encroach on, like as you become a full cloud, you're starting to encroach on other people's turf.Vibhu [00:22:09]: What will you not do?Akshat [00:22:13]: Well, we wanna follow our users and, make sure they get like a platform that has everything that works well together. so right now we're focused on the model lifecycle and the agent, lifecycle. so both like going from data prep to training to inference, and then also if I want to deploy a background agent, let's say, sandbox, do persistent storage, a whole bunch of other stuff.Vibhu [00:22:38]: We talked to Cole, who did, OpenInspect. Yeah.Akshat [00:22:42]: Yeah.Vibhu [00:22:42]: And RealInspect also is on Modal.Akshat [00:22:44]: Yeah. So Ramp Inspect was a great example of a background agent that was really successful because they, were able to use some of the primitives like snapshotting and fast scaling to just have something that feels really reactive and works well.Ramp Inspect and Background AgentsVibhu [00:23:02]: Yeah. That's the new CTO of, Ramp right there.Akshat [00:23:05]: Yeah, Rahul.Vibhu [00:23:08]: It was really fun. yeah, okay, I think, all very bullish. Like, one of my reflections was also I did not originally. So when I met you guysThe Inference Inflection: CPU, GPU, and Co-LocationVibhu [00:23:19]: You weren't that much in the GPU game, and now you're all about, inference. And one of the points that I hinged on for Jensen's keynote at GTC this year was, what we're calling like the inference inflection, right? That let's say in AI workloads or machine learning workloads, it used to be like, let's call it eight to one GPU to CPU, and now it's more like one to one, which is like a interesting. Like, - because of how much agents are blocked or call out to this, to CPU heavy stuff the actual, like, limiting factor, like, swings back and forth from GPU to CPU a lot more than it used to be all GPU and then occasional CPU.Akshat [00:24:01]: Yeah.Vibhu [00:24:02]: GPU, CPU. And now it's like just constantly, and you just have to locate everything.Seventeen Clouds and the Supercloud StrategyAkshat [00:24:08]: Yeah. And that's one of the things that, again, we see as, something appealing about Modal, which is we've built this capacity pool that spans, 17 cloud providers, so we're, we're very good at Running on various kinds of cloud capacity across the worldSwyx [00:24:24]: You don't have your own data centers?Akshat [00:24:25]: We don't have our own data centers. We just run across a lot of neo cloudsSwyx [00:24:29]: Yeah. AreAkshat [00:24:30]: Metal providers.Swyx [00:24:30]: Yeah. Question mark.Swyx [00:24:31]: Yeah. You're, you're running the math, and you're like, “What's the cutover point where you're like.”Akshat [00:24:36]: Yeah, it's a good question. part of it is we see our differentiator in the software layer, and, being capital light and focusing on the software helps us move really fast. so far it's worked out well because there are so many other people building data centers that we're able to work effectively with them, and again, focus on what makes us, special.Swyx [00:24:55]: Yeah.Swyx [00:24:56]: 17 gets you into, like, the local providers sometimes. LikeAkshat [00:25:00]: The,Swyx [00:25:01]: Which was the most interesting one?Akshat [00:25:02]: There are a lot more neo clouds than you expect, and they all have various degrees of, various levels of reliability. And, that's why it's something we've invested a lot of time in, is building our own reliability layer on top. so if the GPU falls off the bus or something happens, we user workloads are not affected, and that lets us use a lot more capacity than,Swyx [00:25:30]: YeahAkshat [00:25:30]: You as a user would be able to.Swyx [00:25:32]: It's a useful thing to have because like now everyone knows, like, what layer you are and, like, you optimize for being the super cloud of all clouds.Akshat [00:25:41]: Yeah. That's, that's, that's the idea. and so I guess when you mentioned colocation, that's, that's another interesting thing where, one thing we've seen is people come to us when they want, very specifically located, CPUs or GPUs, like they wantSwyx [00:25:57]: Oh, they pin it in likeAkshat [00:25:58]: YeahSwyx [00:25:58]: EU?Akshat [00:25:59]: Exactly. Or EU, US.Swyx [00:26:01]: Right. Data resiliencyAkshat [00:26:02]: AustraliaSwyx [00:26:02]: Locality thing or performance or what?Akshat [00:26:04]: It's either data locality or latency, yeah.Swyx [00:26:07]: Yeah.Akshat [00:26:07]: Like, you want your. They're running sandboxes and model. They want them to be right next to aSwyx [00:26:10]: Yeah, it's easy thenAkshat [00:26:11]: YeahSwyx [00:26:12]: To. That is important in all those things. and so, like, you've accidentally, I don't know if it's accident, but, like, you've built the perfect primitive for agents to express themselves. And then, like, it's almost very funny how every extra development just involves more file system, just involves more CPU.Akshat [00:26:30]: Yeah.Swyx [00:26:31]: Just like the things that you already have. I don't know much about, if there's any, like, networking usages that are interesting, but you've also done some good work on networking.Networking, Sidecars, Private IPv6, and SandboxesAkshat [00:26:40]: Yeah, that's exactly right. Like, we're just taking compute storage and networking and building stuff on that layer, for, again, the stuff people need.Swyx [00:26:49]: YeahAkshat [00:26:50]: We see a few interesting networking things coming up. one is people want networked sandboxes. so we haveSwyx [00:26:57]: For like a Docker cluster type thing.Akshat [00:26:59]: Yeah.Swyx [00:26:59]: Sorry, Docker Swarm. Oh, f**k. What is it called?Akshat [00:27:02]: Compose.Swyx [00:27:03]: Compose type thing.Akshat [00:27:04]: Yeah. So if you want Docker Compose, our sandboxes now support, this thing called sidecars. So you can. A sandbox is a pod of containers, and you can run multiple containers in, a sandbox. also useful because, going back to networking, people want a lot of control over, outbound networking from a sandbox.Swyx [00:27:23]: Yeah.Akshat [00:27:23]: Like, they might wanna run a middle proxy for, like, maybe logging stuff for RL or, controlling how egress can happen to a domain, injecting credentials. and yeah. So we've, we've had to build a lot of that stuff ourselves.Swyx [00:27:38]: Yeah.Akshat [00:27:39]: But then also sometimes people want, sandboxes spanning multiple nodes to talk to each other, which is an emerging thing we're seeing. We have support for that for a different reason, and yeah, we'll see if that becomes stable.Swyx [00:27:52]: Like, just an open socket. It's a. This is directly like mTLS.Akshat [00:27:56]: We do support that, which is you can, expose a tunnel inside a sandbox.Swyx [00:28:01]: Yeah.Akshat [00:28:01]: And then you can either expose it to public internet or it can be, you can add like a HTTP, auth layer above it. But we have this thing called I6PN, which we haven't talked about, which is this, like, overlay network using IPv6 addresses. so if Modal containers, within the same workspace, when this is enabled, can address each other using this private IPv6 address, and no one else can.Akshat [00:28:28]: So it's like private networking, for containers. We built it because we needed it as a primitive for our distributed training product. so we have this other feature, which is you can add a decorator to a function, and you get a cluster of GPUs. and they have RDMA networking. so you can run a distributed training job, that's truly serverless. and we did the overlay network for that. But then we've seen that people are using it for other reasons, and, I'm intrigued to yeah, what would people do with it.Swyx [00:28:59]: Build primitives and let people figure it out, right?Akshat [00:29:01]: Yeah, exactly.Swyx [00:29:02]: You put out a pretty interestingAkshat [00:29:03]: They're like, they read the docs webpage. Let me use thatSwyx [00:29:06]: YeahAkshat [00:29:06]: Something they never intended to work. This is literally not even in our docs page. People somehow found it, and they're using it.RDMA, Memory Movement, and Distributed TrainingSwyx [00:29:12]: Huh.Swyx [00:29:14]: The way you portrayed it with, like, RDMA versus TCP, like, very well laid out, but just the transfer speed change at scale for RL, like yeah, you have it, you have it built in. I'm sure someone found it. It's found it to be a lot more efficient before you made a thing out of it, right?Akshat [00:29:32]: Yeah. And not to split hairs, I guess the overlay network is the TCP overlay network.Akshat [00:29:39]: The reason we have that is you need that to do the key exchange for RDMA before you set up the RDMA network on top of that. but then people found the TCP part.Swyx [00:29:48]: Can I tell you, this is like a big aha moment for me becauseAkshat [00:29:51]: YeahSwyx [00:29:51]: So I review 2,200 submissions for the World's Fair.Akshat [00:29:56]: Yeah.Swyx [00:29:57]: And then I got this from John OsterhoutAkshat [00:29:58]: HuhSwyx [00:29:59]: Who I don't know if. Do John Osterhout by name?Akshat [00:30:01]: The name sounds familiar.Swyx [00:30:02]: He published a. He's a well-known professor, published a lot of interesting software design books, and this is the talk he chose to submit, is on RDMA at Inference. And I'm like, you wouldn't think that this guy, who is like operating systems guy, would care about RDMA.Akshat [00:30:20]: I, it makes sense to me because I,Swyx [00:30:24]: This is the cloud, right? YeahAkshat [00:30:25]: Like, the way you move around your KV cache and how efficiently you can do it, how efficiently you move, your weights from your training GPUs to your inference GPUs in RL is there's a lot of degrees of freedom, and it is a systems problemSwyx [00:30:41]: YeahAkshat [00:30:41]: Moving memory aroundSwyx [00:30:42]: YeahAkshat [00:30:43]: Scheduling.Swyx [00:30:44]: This shows you how primitive my understanding of networking stuff is.Swyx [00:30:46]: Is this like the domain of WireGuard as well?Akshat [00:30:50]: Not quite.Swyx [00:30:51]: It's adjacent?Swyx [00:30:53]: Explain everything.Akshat [00:30:54]: Sure.Swyx [00:30:56]: How do we move memory around GPUs?Akshat [00:30:58]: Well, so sorry. Yeah, that is memory. Sorry, I was talking more, and maybe I was talking like five minutes back, about the private IPv6, addressing that you've set up.Swyx [00:31:09]: Yeah.Akshat [00:31:09]: Is it like it's a VPN?Swyx [00:31:10]: Yeah, it is like a VPN, and yeah, WireGuard is, yeah, you're right. It is,Akshat [00:31:16]: Right. Yeah, you already moved on to new topicsSwyx [00:31:17]: A similarAkshat [00:31:18]: OkaySwyx [00:31:19]: In the same space, WireGuard is, encrypted and this is,Akshat [00:31:23]: And you don't need encryption.Swyx [00:31:23]: Yeah.Akshat [00:31:24]: Yeah.Swyx [00:31:24]: This is not encrypted. that's the main difference. This is TCP and we have eBPF programs that will reject or allow the TCP connection based on whether you're allowed to do it.Akshat [00:31:35]: Used to involve a full sidecar, but now you have eBPF in the Linux kernel.Swyx [00:31:39]: Yeah.Akshat [00:31:40]: Yeah. I don't know if this is a natural follow-on to the topic of like my skepticism on distributed training is that while, like, people spend a lot of money on, like, cables to hook up GPUs, and even that is not, like, fast enough, and that's the bottleneck, is your networking fast enough?Swyx [00:31:59]: Yeah. So I guess you're talking about fully distributed training like, Dialog or something which is like cross data centerAkshat [00:32:06]: That would be, yes.Swyx [00:32:07]: That's the extreme.Akshat [00:32:08]: Yeah.Swyx [00:32:08]: You're in the middle, and then other people would have like the Mellanox cables up in, like, their actual data center.Akshat [00:32:14]: When you run multi-node training on Modal, RDMA, I think Mellanox, is, or InfiniBand is like a, is all seen as RDMA. but it's a way to bypass the TCP networking stack and, transfer, stuff much faster, between one node, to the other. And we have I think like 3 terabit per second, internal networkingSwyx [00:32:40]: OkayAkshat [00:32:40]: Which is the standard that's needed.Swyx [00:32:42]: Okay. So I misunderstood whatAkshat [00:32:43]: 50Swyx [00:32:43]: What part of the stack you wereAkshat [00:32:44]: 50 gigs overSwyx [00:32:45]: YeahAkshat [00:32:45]: If you wentSwyx [00:32:45]: YeahAkshat [00:32:46]: RDMA.Swyx [00:32:46]: Okay.Swyx [00:32:48]: Yeah. I, very impressive work.Multi-Node Training, Post-Training, and Auto ResearchSwyx [00:32:52]: So effectively you're extending like the model philosophy to the training cluster, like, yeah.Akshat [00:32:59]: Yeah. And we're, we're not going for like large scale training runs. the thing that we've built multi-node training for is, we see a lot of, smaller scale post-training. like, people are post-training like medium sized fund models, so they can, get higher quality on inference. this is a perfect fit, for something like that.Swyx [00:33:21]: Yeah. That is my impression of how a lot of these labs explore branches in post-training and then eventually merge whatever they find in.Akshat [00:33:31]: Yeah. The other use case we've seen for multi-node training is even if you have a big cluster, your researchers are still doing small runsSwyx [00:33:38]: YesAkshat [00:33:39]: Having elasticity thereSwyx [00:33:40]: Right, sureAkshat [00:33:40]: Matters a lot more.Swyx [00:33:41]: Yeah. the, like, this is like the current limiting factor for auto research, which is like you need to give your model some GPUs in order for it to completely run.Akshat [00:33:51]: We have a blog post on auto resource and model is,Swyx [00:33:55]: YeahAkshat [00:33:56]: Yeah, like, turns out to be pretty good substrate for that.Swyx [00:33:59]: So my impression is auto research means many things, likeAkshat [00:34:01]: YeahSwyx [00:34:01]: Anything that Andrej coins. Right now it's still science fair, right? Like not like, I don't know how many people are doing this.Akshat [00:34:08]: We're having a golf.Swyx [00:34:08]: Yeah.Akshat [00:34:09]: I thought the same thing.Swyx [00:34:11]: Yeah, you would know.Akshat [00:34:12]: We, like, our internal both training and inference teams use this the general shape of this quite a bit. like we have this one internal repo called auto inference, which essentially we've automated our own forward-deployed engineering efforts using, this harness, which is, the agent will just spin up a sweep of different things. It'll even run like, NVIDIA inside profiler and it'll like tweak configs and it'll arrive the right thing. it'll change your GPUs both from H200 to B200, and works really well.Swyx [00:34:47]: Nice.Akshat [00:34:47]: So yeah.Swyx [00:34:48]: By the way, I enjoy that your forward-deployed engineering is so technical that you have to do these things.Swyx [00:34:52]: It's very different from forward-deployed engineering from other people.Akshat [00:34:54]: Yeah. For our forward-deployed engineering team is, essentially they're like applied inference researchers or applied training researchers.Swyx [00:35:02]: Someone told me like they have to be able to build, but they also have to be able to sell. do they have to sell or are they like they're good, they're just like post-sale type of thing?Akshat [00:35:09]: It does, being able to talk to a customer and engage effectively with themSwyx [00:35:13]: YeahAkshat [00:35:13]: Matters a lot.Swyx [00:35:14]: They want the same thing.Akshat [00:35:15]: Yeah.Swyx [00:35:15]: ?Akshat [00:35:15]: But it's it's not really a sales, thing. We pair them with-- We have solution architects as well that are more on the sales side.Swyx [00:35:23]: Okay. Let's spend a bit more time on auto research. This is a big focus for for this year. Where does this go? like, have people explored enough? Like, there's all these beautiful charts of like improve and then level off a bit and then you find the next thing. Is this one abstraction up from normal training? Is that how we think about it, or do you think about it differently? Like model level training versus high, like driven hyperparameter search.Auto Inference and Modal BenchAkshat [00:35:51]: Yeah, like,Swyx [00:35:51]: Someone, some people call it like neural architecture search or whatever, right? Like.Akshat [00:35:54]: Yeah, - So the stuff I've seen people do with it is nowhere on the architecture level. It's pretty much tweaking parameters, but it's it's a hyperparameter sweep that's guided by some model intuition, so it's like much more efficient than, whatever other, sweep you would have.Swyx [00:36:12]: Yeah, it's just, it's just a question of where you want to spend your compute?Akshat [00:36:16]: Right.Swyx [00:36:16]: ‘Cause yeah, you can just throw infinite amounts of money on this and somehow you'll bang out Shakespeare?Akshat [00:36:22]: Yeah, infinite monkey.Swyx [00:36:24]: Yeah, so like the very good for model. and I think it's also very important that agents can spin up other agents, can spin up their infrastructure. Like very good for you. how good is our LLMs at generating model code? Like the benefit of existing LLMs is that you are in the data.Akshat [00:36:42]: Yeah. They're, they're surprisingly good. I think like pre Cloud 4 they were not, and then now they're able to shot, stuff out of the box. But we're playing around with releasing like a Modal Bench for like the harderSwyx [00:36:55]: YeahAkshat [00:36:55]: Things, that the LLMs cannot do yet and maybeSwyx [00:36:59]: What's an example of that?Akshat [00:37:01]: I think the things that- Sometimes agents struggle with, without right guidance and a skill is, how to, use the rest of our observability. Like how to. Something is failing, like how do you look at the logs and then update the right thing? It's reasoning about that. But they're able to shot, likeSwyx [00:37:23]: Yeah. You can just add a skill to it?Compute Strategy and Capacity PlanningAkshat [00:37:26]: Yeah. So we have a Modal skill now that. Which is why we built this Modal Bench. It's to find things like that, so we can address them in our tool.Swyx [00:37:35]: Tune a skill. Yeah.Akshat [00:37:36]: Yeah.Swyx [00:37:36]: No. it's it's good. are you facing any shortages? like we talk a lot about GPU shortages, but also CPU, also memory.Swyx [00:37:44]: Yeah.Akshat [00:37:45]: We have had a lot of growth, which means that, there's - we've had to be much better aboutSwyx [00:37:53]: PlanningAkshat [00:37:54]: Proactive capacity planning.Swyx [00:37:55]: Yeah.Akshat [00:37:55]: So we have,Swyx [00:37:57]: Which by the way, like it's like a MBA's like dreamAkshat [00:38:00]: YesSwyx [00:38:00]: Is like just planning this stuff. I think last time you and I talked about something maybe about this.Akshat [00:38:03]: Yeah. we have a really competent team of people that we call, The role is called compute strategy. so yeah, if anyone listening here or wants to work on thatSwyx [00:38:13]: Compute strategy?Akshat [00:38:13]: Yeah.Swyx [00:38:14]: I think,Akshat [00:38:14]: I feel like,Swyx [00:38:15]: I think the normies call it FP&A or something.Akshat [00:38:18]: Well, it's more It's it's not FP&A. It's it's There's a lot of interesting financial questions of like what is the blend between one year and three-year reservations? how do we forecast our own capacity? how do we. especially since our capacity is very fungible across different GPU types and different regions, like you have to model a lot of it. and you also have to have an opinion on how the supply chain is gonna evolve, and then you have to like, take bets,Swyx [00:38:49]: YeahAkshat [00:38:49]: Based on that.Swyx [00:38:50]: Tokenomics.Akshat [00:38:50]: Yeah.Swyx [00:38:51]: This is like probably a not a real point, but, I was trying to think about like what other industries. I was trying to think about like, we cannot be first to like these kinds of problems.Akshat [00:38:59]: Yeah.Swyx [00:39:00]: And what other industries have had this? And I was like, airlines with fuel and like they have to hedge their fuel and like, I think for a long time Southwest because they made like a hero fuel bet, they like were like super low cost becauseAkshat [00:39:12]: OhSwyx [00:39:12]: Compared to everyone else.Akshat [00:39:14]: Yeah. I hadn't thought about that.Vibhu [00:39:16]: We're at a fun time too?Akshat [00:39:18]: Yeah. It's. A lot of the compute business in general, for us is also about being very good about capacity management. That is how you have great unit, economics. but also over time it's how you can unlock more value for customers. Like, one of the things we're building now is like a way for customers to get, If they don't care about latency, like get much cheaper pricing and they'll get results back in like next 24 hours or something, like a batch tier essentially.Batch Tiers and Latency-Insensitive WorkloadsSwyx [00:39:47]: Yeah.Akshat [00:39:47]: And those are levers we have because we control the whole stack and scheduling and whatnot to give people a sufficientSwyx [00:39:53]: Yeah. I feel like they're not as popular. Like those, like the Frontier Labs have all those APIs. They're not as popular as they should be.Akshat [00:40:00]: The demand that we see for something like that is not for LLMs. although sometimes people wanna run evals andSwyx [00:40:08]: OkayAkshat [00:40:08]: Synthetic data prep and there it makes sense.Swyx [00:40:10]: Okay.Akshat [00:40:11]: But it's from a lot of LLM companies, like people who are doing computational bio, like they have to run really big batch jobs and they don't care about when they get it back.Swyx [00:40:22]: Yeah. And like they have a reasonable. It's it's also like a cousin to the stopping problem of like, will this finish in time?Akshat [00:40:30]: Yeah. You can bound it.Swyx [00:40:33]: Yeah.Akshat [00:40:33]: Like you can give peopleSwyx [00:40:34]: YeahAkshat [00:40:34]: SLAs on it.Swyx [00:40:35]: Yeah. I think what's, what's interesting is like the next phase of model.Swyx [00:40:38]: Like what, do people expect from you, now that you're established and you're like well-known compute player among all these leading companies. You had an inference launch week, and we talked a little bit about the launches. like what else? Like what else should people know?What Modal Builds NextAkshat [00:40:55]: We are building primitives that make our users' lives much easier. So, I think for example, with LLM inference, thousands more companies are gonna post-train their own models and, deploy open source models for inference. so we're thinking a lot about what is the best product shape for that. And, that involves everything from our training gym to, then, endpoints that get frontier-level performance. again, but I haven't talked to anyone. It looks somewhat different on other verticals. Like, we're also seeing a lot of real-time, audio-video stuff in there, which is why like, we're working on things like regional routing, with fallbacks. So you can get GPUs that are as close to users as possible. so you get like low latency for video streaming and whatnot. And then on the agent side, it's,Akshat [00:41:52]: We're still working very closely with our customers because stuff is changing so fast in terms of what they need. And, I think beyond sandboxes and persistent file systems, there's a lot of other things people will need from this agent stack as they build production agents. So yeah, we're thinking about those other things that fit in there.Swyx [00:42:13]: I want to ask what the other things are.Akshat [00:42:15]: Yeah. I probably should share right now.Swyx [00:42:17]: I think-- I think, okay, so, I do think a lot about the principal components of cloud, and you do talk about compute storage networking.Akshat [00:42:25]: Yeah.Swyx [00:42:25]: Because so far for me, it's fine. so far for the. the first couple generations of cloud, it's fine. What's different, qualitatively different about agents that you need some new permission level? Like a lot of people, okay, and I'll just kinda spew tokens at you until it like hopefully sparks something.Akshat [00:42:43]: Yeah.Swyx [00:42:44]: Like the new level now is whatever Claude Code does, which is dangerously scope permissions or like allow list by command or like whatever, right? And sometimes they're like, “Well, okay, we have like this adaptive thinking mode where like, just trust me, bro. I will make the calls for you.” Is that it? like mediated permissions.Hard Guardrails vs. LLM-Mediated PermissionsVibhu [00:43:03]: Now you're looping it with a goal and letting it roll.Akshat [00:43:06]: Yeah, I'm, I'm skeptical of LLM media permission for stuff that is at the sandbox level because you do want hard boundaries.Swyx [00:43:16]: Yeah.Akshat [00:43:16]: Otherwise, someone can exfiltrate stuff.Swyx [00:43:20]: But likeAkshat [00:43:20]: YeahSwyx [00:43:20]: Maybe that's old school thinking. Maybe we're the dinosaurs.Swyx [00:43:23]: Maybe the AI OS or the LLM OS is really the kernel is a goddamn LLM.Swyx [00:43:30]: Like it makes you feel uncomfortable.Akshat [00:43:31]: Yeah, I'm, I'm toldSwyx [00:43:32]: But that's what trusting the LLM is. Like imagine a spherical cow perfect LLM.Akshat [00:43:36]: Right.Swyx [00:43:37]: That it.Akshat [00:43:39]: Maybe.Swyx [00:43:41]: I wanna test the boundaries, right?Akshat [00:43:42]: Yeah.Swyx [00:43:42]: Like, and I don't believe that, but I wanna see where I'm wrong ‘cause that's, that's the consensus.Akshat [00:43:49]: Yeah. I think you always need hard guardrails when you want, And you can pair those with softer guardrails, right? And that's gonna be a lot of mediated.Managed Agents and Specialized SandboxesSwyx [00:44:00]: There. I'll also get you a end with a couple of your commentary on like the ecosystem outside of Modal. Manage agents. Everyone has one. Gemini, OpenAI, Claude, very useful for you, but also like it is their way of starting to edge into your space.Akshat [00:44:17]: Yeah.Swyx [00:44:17]: What's going on?Akshat [00:44:19]: Yeah, we're, very excited to partner with Anthropic and some of the other foundation labs, will not name who we're also working with. the way we see it is the manage agent thing is a great place to start if you're starting out building an agent and, But then when you get to, building something more production grade, like you're a company that's like Ramp that's building their own, Ramp also runs their accounting agent on us, so their external-facing agent. You need a lot more control over, your compute primitive on things like, what sort - how do you persist different files that the agent has access to, and how do you snapshot and restore? How do you control the networking? maybe you want GPUs. When you get to that point, you kinda want, a specialized sandbox provider, that gives you those things, and that's the role that we are trying to play.Swyx [00:45:15]: YeahAkshat [00:45:16]: We don't really have an opinion on the harness, whether it runs - it's a cloud-managed agent, and you hook it up to Model Sandbox, or you run the harness in Model Sandbox. We'll see where people converge with that.Swyx [00:45:26]: Yeah. Do you any opinions on like the meta harnesses, or just another layer on top of these things?Akshat [00:45:31]: You mean like the OpenPipeSwyx [00:45:33]: OpenPipe is one. I think Vercel had one, which I can't remember the name of right now. Fredshot had one. and then, to me, most recently was Data Databricks that had Omnigen. All these are meta harness. Like it's kinda pseudo agent cloud type things.Akshat [00:45:50]: I personally have not played around with them.Swyx [00:45:53]: Yeah.Akshat [00:45:53]: Build agents with them.Swyx [00:45:54]: Everything's bullish Modal, as long as it consumes more infra.Akshat [00:45:57]: That's why we're focusing on the infra layer. It's somewhere where our, relative competence is and, also it's a hard problem to solve.Swyx [00:46:06]: Yeah. I will say like just generally reflecting on that, I don't know if - if there's other topics on Modal, but like just generally reflecting as an infra person, not as intense as you, but in that field, this has like been the most exciting time in infra. Like it was boring for a while, and you couldn't really get people excited about data infrastructure. Like Eric would get on Data Console, everyone just watched the video and like say, “Look at how many sandboxes I can spin up,” and no one gave a crap.Why Infrastructure Became Exciting AgainAkshat [00:46:39]: Yeah.Swyx [00:46:40]: And like now everyone gives a crap.Akshat [00:46:42]: That's true. It is a very exciting time, and I think a lot of that's driven by just the amount of scale all of this stuff needs.Swyx [00:46:50]: I think the, like a lot of your initiatives or a lot of your like product directions make sense in retrospect, which is like the best kind, but I wouldn't necessarily have thought about it myself, which.Akshat [00:47:00]: We need the predictions.Swyx [00:47:02]: I think there's a lot that you just don't even see, right? Like you have the batch, you have the voice, you have the multimodal, but what else?Akshat [00:47:10]: What else is coming up for usSwyx [00:47:11]: Yeah. Where do you see things going?Akshat [00:47:13]: Yeah. I, in generalBiotech, Robotics, and Non-LLM AI WorkloadsAkshat [00:47:15]: It's it's clear that there's there's a huge shift happening. I think one thing that's not as obvious to people because LLM inference gets talked about so much and is also we work a lot of companies that are, doing things like drug discovery and computational bio, like the Chai Discoveries of the world. Big things are probably gonna happen there. we work a lot of robotics companies that are putting robots in like active deployments and getting good results out of them.Swyx [00:47:45]: Is there Air Gap Modal? Is there a version that is like prem air gapped whatever?Akshat [00:47:50]: No. We,Swyx [00:47:51]: You should cloud only.Akshat [00:47:51]: Yeah.Swyx [00:47:52]: Yeah. Okay. But yeah, so what you're saying is like because you're focused on primitives and they're good primitives, you find use cases in all these kinds of things.Akshat [00:48:01]: Yeah.Swyx [00:48:01]: Probably diversifies you a little bit away from LMS all the time.Akshat [00:48:05]: Yeah, absolutely. We're, we'- our goal isn't to only serve the LLM inference market.Swyx [00:48:10]: There are a lot just on the website, the audio,Akshat [00:48:12]: Yeah. We said both onSwyx [00:48:14]: Computational bio images. Yeah, there's a lot here. There's QTA TTS, customizing. Oh, Chatterbox. there was customizing Whisper.Akshat [00:48:24]: Okay. Yeah.Swyx [00:48:25]: This screen reminds me of a fallen competitor, which Replicate.Model APIs vs. Differentiated AI ProductsSwyx [00:48:31]: What's your postmortem on what happened?Akshat [00:48:34]: This is one thing we've stayed away from is providing an API for models because I think providing model APIs is some of it ends up serving like a really hobbyist market, which is much less sticky.Swyx [00:48:50]: Yeah.Akshat [00:48:50]: And we've always wanted to build for companies that are building products and need more flexibility that's not just an API.Swyx [00:48:57]: Which you can build an API for a model and this is clearly what it is. But you - but what you're saying, you can wrap it into a more fully functioning back end that you run.Akshat [00:49:06]: Yeah. So all of our examples, it's not that spin up this model, here's an API token, use it. They're all code.Swyx [00:49:13]: Okay.Akshat [00:49:13]: And so the point is that this is just an example.Swyx [00:49:16]: Starter code.Akshat [00:49:17]: Yeah. But you can tweak it however you want.Swyx [00:49:20]: Yeah.Akshat [00:49:21]: And if you're like a company building a product, like, computational bio whatnot, yeah.Swyx [00:49:26]: I guess I'm trying to tease out for listenersAkshat [00:49:28]: YeahSwyx [00:49:28]: When does it stop becoming, oh, you're just an API call and you're just a wrapper on API to becoming what you call a product, right?Swyx [00:49:36]: Like, what is that layer? Like what-- Like, more lines of code, but like beyond that, what is the substance that people add that qualifies it to be something more?Akshat [00:49:46]: I think there's a little bit of like a selection effect of like a lot of the companies who do wanna get deeper into that level are probably building something that's more differentiated. And, I think, an example is like - with LLM inference, originally we, worked with companies that were building their own post-training frameworks or they were, - Ramp early in the day was training their own tokenizer and like swapping out the tokenizer in Llama and whatnot. I'm not saying that's, that successful, in that case. But a better example is like, let's say Suno. because Suno, does not use Modal for training.Swyx [00:50:26]: Mikey on the pod. Yeah.Akshat [00:50:27]: But they use Modal for all their inference and that's because they have like a custom-- They have completely custom model architecture and that means that they have to be at the code level and tweak things that are not, just an API.Swyx [00:50:41]: It's interesting as well, like we had, Ethan, most recently on the xAI Groq team make a prediction that like the next tier in video gen is not a better video model, it's a better model or agent that orchestrates video models.Video Agents and Production WorkflowsAkshat [00:50:56]: Oh, interesting.Vibhu [00:50:56]: Language model backbone that can use toolsAkshat [00:50:58]: RightVibhu [00:50:59]: And write code.Akshat [00:51:00]: Like, yes, I can make my second video or my second video from Groq, but I want my minute video.Akshat [00:51:06]: And I'm not going there through normal video gen.Swyx [00:51:10]: Yeah, that's interesting. I - So we have GPU sandboxes and recently have seen a few companies doing agents that do video manipulation or,Akshat [00:51:22]: Yeah. Give it FFmpeg and just do it.Swyx [00:51:23]: Run FFmpeg. But likeAkshat [00:51:25]: That's not enough.Swyx [00:51:25]: Yeah.Akshat [00:51:26]: You need to give it Adobe.Swyx [00:51:27]: Yeah, I hadn't put it together with like it would be a video production thing. in my mind these things were going more towards editingAkshat [00:51:36]: Yeah.Vibhu [00:51:36]: Well, shout out Mantis.Akshat [00:51:37]: I think about this a lot.Swyx [00:51:38]: .Akshat [00:51:41]: Yeah. Sorry.Vibhu [00:51:41]: Luma. Luma Agent is a version of this for video production, but it's a off.Swyx [00:51:46]: I was gonna get your quick takes, on some other stuff that happensGitpod/Ona, CI, and Runtime SandboxesSwyx [00:51:50]: In recent news and just-just see if you have anything interesting. Gitpod, very li

New leaks about the iPhone 18 Pro seem to be annoying Apple, while the guessing game continues over whether the iPhone Fold is coming in September, plus why we shouldn't be concerned about AirDrop, and definitely why we should not believe that the iPhone is the end of civilisation, on the AppleInsider Podcast.Contact your hosts:@williamgallagher_ on Threads@WGallagher on TwitterWilliam's 58keys on YouTubeWilliam Gallagher on emailWes on BlueskyWes Hilliard on emailWes's blog HillitechSponsored by:Scribe: Book an enterprise demo at scribe.how/appleinsiderLinks from the Show:Apple readying four iPad Pro models & entry M7 MacBook Pro for early 2027 releaseConfident Apple increases its iPhone Fold orders to 10 millioniPhone Fold expected to take 29% of 2026 foldable phone screen ordersiPhone 18 Pro leaks: Qualcomm or Apple C2 model, A20 details, camera upgradesNew AirDrop security flaws are significant, but aren't a giant threat Apple weighs buying RAM from two blacklisted Chinese suppliers to curb rising costs Stop us if you've heard this before: Apple Watch redesign will have new band attachment points Researchers scapegoat iPhone for declining US birthratesIf you wanted more AI in Apple's Creator Studio, Tuesday's update gives it to you New Final Cut Camera tries to be more useful for Mac users Apple Music's billions of streams, billions of dollars in fines, and one failureSupport the show:Support the show on Patreon or Apple Podcasts to get ad-free episodes every week, access to our private Discord channel, and early release of the show! We would also appreciate a 5-star rating and review in Apple PodcastsMore AppleInsider podcastsTune in to our HomeKit Insider podcast covering the latest news, products, apps and everything HomeKit related. Subscribe in Apple Podcasts, Overcast, or just search for HomeKit Insider wherever you get your podcasts.Subscribe and listen to our AppleInsider Daily podcast for the latest Apple news Monday through Friday. You can find it on Apple Podcasts, Overcast, or anywhere you listen to podcasts.Those interested in sponsoring the show can reach out to us at: advertising@appleinsider.com ★ Support this podcast on Patreon ★

On this week's episode of The MacRumors Show, we discuss the latest leaks and rumors surrounding the iPhone 18 Pro. 01:30 Tata Electronics data leak discussion02:49 iPhone 18 Pro's C2 modem: US.. vs. international09:57 Color-matched rear glass insert12:20 Variable aperture camera upgrade17:31 Apple's camera marketing and demo criticism20:59 iPhone 18 Pro price increase expectations27:55 Apple TV price hike reaction35:24 Micron, memory shortage, and supplier pricing41:18 New HomePod and Apple TV timing 43:56 iPhone 18 Pro's 5G satellite connectivity feature49:11 SIM vs. eSIM and carrier headachesTata Electronics, one of Apple's manufacturing partners in India, was hit by a ransomware attackthat resulted in more than 200,000 internal files being posted online, including component lists, supplier data, and images of ‌iPhone 18 Pro‌ test units. The material was obtained illegally, and MacRumors has not seen the stolen files directly.Among the leak's more surprising details is that the C2 modem may be limited to international models, succeeding the C1 and C1X modems already used in the iPhone Air, iPhone 17e, and M5 iPad Pro. A bill of materials for the U.S. variant instead lists Qualcomm components, including the SDX80M and other parts associated with mmWave 5G, a feature Apple's C-series modems still lack. U.S. carriers have spent years building out mmWave networks, making it a harder feature to drop from the Pro lineup than it was from the ‌iPad Pro‌ or a rumored cellular MacBook.The leak also lined up with existing rumors of a more uniform rear finish than the iPhone 17 Pro's two-tone design and camera lenses that protrude further from the plateau. Separately, a leaked SIM tray offered another look at the rumored Dark Cherry color option, expected to join Light Blue, Dark Gray, and Silver as this year's lineup, with no black model.On the camera side, the rumored variable aperture main camera is this year's headline upgrade, though it's unclear how much of a real-world difference it will make compared to genuinely transformative jumps in past generations, like the 8x telephoto lens introduced on the ‌iPhone 17 Pro‌ or the and 48-megapixel sensor from the iPhone 14 Pro. Pricing looms over rumors about the device. Apple has now raised prices across much of its lineup, citing a global memory chip shortage driven largely by AI data center demand. The Apple TV and HomePod price hikes drew particular criticism, since both products are several years old with no accompanying hardware changes.Estimates for the ‌iPhone 18 Pro‌ itself point to a starting price as high as $1,399, up from $1,099 for the ‌iPhone 17 Pro‌, an increase weighed against a modest RAM and battery bump, a smaller Dynamic Island, and a more capable N2 chip. A rumored 5G-via-satellite feature will likely offer limited access to specific services like Siri or Maps rather than full Safari browsing.Micron's chief business officer suggested that Apple's own aggressive supplier negotiating tactics may have contributed to the memory shortage now driving prices up industry-wideVisit https://www.storyblocks.com/mac for 15% off annual plans.

I interviewed Ziad Asghar about their Snapdragon Reality Elite announcement on Thursday, June 18, 2026 at Augmented World Expo in Long Beach, California. For more specifications and details, then be sure to check out the report from Road to VR's Ben Lang here. Here's the video of Asghar's announcement from AWE. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

El grupo de ransomware World Leaks hackea a Tata Electronics en India filtrando mapas analíticos de componentes confidenciales del próximo iPhone 18 Pro, revelando su cadena de suministro exacta (incluyendo contratos privados con TSMC y Qualcomm) y fotos de prototipos en pruebas de caída (drop-tests) fechadas a inicios de 2026. OpenAI aprovecha esta crisis de talento absorbiendo a Meade para liderar su división de hardware físico junto a Jony Ive (cuya firma io fue adquirida por 6.500 millones de dólares). Se desvela su hoja de ruta: dispositivo de audio sin pantalla en 2026 y un smartphone con procesador personalizado MediaTek y doble NPU para 2027. ---------------------------------- #Apple #OpenAI #iPhone18 #PaulMeade #TechPodcast #AppleLeaks #JonyIve #JohnTernus #InteligenciaArtificial #Hardware ---------------------------------- https://seoxan.es/crear_pedido_hosting Codigo Cupon "APPLE" ---------------------------------- PATROCINADO POR SEOXAN Optimización SEO profesional para tu negocio https://seoxan.es https://uptime.urtix.es ---------------------------------- PARTICIPA EN DIRECTO Deja tu opinión en los comentario ---------------------------------- ¿TE GUSTÓ EL EPISODIO? ✨ Dale LIKE SUSCRÍBETE y activa la campanita para no perderte nada COMENTA COMPARTE con tus amigos Applelianos ---------------------------------- SÍGUENOS EN TODAS NUESTRAS PLATAFORMAS: YouTube: https://www.youtube.com/@Applelianos Telegram: https://t.me/+Jm8IE4n3xtI2Zjdk X (Twitter): https://x.com/ApplelianosPod Facebook: https://www.facebook.com/applelianos Apple Podcasts: https://apple.co/39QoPbO ----------------------------------

If it wasn't apparent already, the Federal government has made expanding the fleet of nuclear reactors a strategic priority. This week, the Department of Energy announced a new financing deal that will encourage the development of 10 new nuclear reactors in the U.S. Matt, Jon, and Tyler break down what this means and whether the companies in the industry will see big gains from it. Plus, Qualcom's investor day, IBMs breakthrough chip design, and investing in energyTyler Crowe, Matt Frankel, and Jon Quast discuss:- Qualcomm announced it wants to join the AI party- Where will Qualcomm's new chips come from?- IBM's new less-than-nanometer chip design- Nuclear power's getting even more government help- Mailbag: Where to invest in energy as a young investorCompanies discussed: QCOM, AAPL, SSNLF, IBM, NVDA, GOOG, INTC, CCJ, BEP, BAM, CEG, GEV, PWR, FSLR, NEE, VSTHost: Tyler CroweGuests: Matt Frankel, Jon QuastEngineer: Bart Shannon Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

The new smart glasses from Snap look like an impressive bit of technology, and some of the most advanced glasses we've seen. But Nilay and David start the show by wondering, does that matter if nobody wants to put them on? What would it take to overcome the ear-smashing? After that, they discuss the reasons for (and problems awaiting) Fox's acquisition of Roku, the latest updates from Matter, Facebook's wild AI Mode, and more. Further reading: Snap is finally about to ship AR glasses — and they cost a fortune  Snap Unveils Specs Smart Glasses at AWE 2026 From CNBC: Snap CEO Evan Spiegel on new AR Specs: New opportunity to bring computing to the world around you Qualcomm's latest chip hints that more powerful smart glasses could be on the way The Microsoft Surface Laptop 8 and Surface Pro 12 now come with Snapdragon X2 chips  Commodore's Callback 8020 is a retro flip phone with modern ideals  Google's first smart speaker in six years arrives next week Fox is buying Roku  Fox wants to take over your TV — and the tech inside it  Netflix was reportedly worried about antitrust scrutiny if it bought Roku instead of Fox. Fox is taking over Roku City  How Stephen Colbert's Replacement Is Helping Tank the Rest of CBS Will Matter finally be able to do what it should have always done? | The Verge Thread Direct looks to solve Matter's biggest setup headache | The Verge Half a billion people are using Threads every month  Facebook's new AI Mode search gets its info from public posts  Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:01:00 Intro 00:02:00 Snap Specs revealed 00:06:00 Snap software advantage 00:08:00 Price comfort reality check 00:10:00 True AR breakthrough 00:15:00 Demos vs daily life 00:21:00 Privacy and moderation risks 00:27:00 Fox buys Roku why 00:29:00 Distribution is power 00:33:00 Roku neutrality ends 00:37:00 Roku Lock-In Debate 00:41:00 Piracy Exit Ramp 00:42:00 Tubi Meets Roku Channel 00:46:00 Go90 Scale Rankings 00:52:00 Distribution Matters CBS 00:57:00 Hype Desk Movies 01:03:00 Knicks Laptop Festival 01:06:00 Brendan Carr Is A Dummy 01:10:00 Radio Ownership Waivers 01:12:00 Threads User Numbers 01:16:00 Meta AI Mode Risks 01:19:00 Matter Joint Fabric 01:28:00 Wrap Up and Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices

Its first new smart speaker in six years is smart. Plus, Qualcomm wants to be the chip in every wearable. And turns out people don't react well to you saying your product has AI.Starring Tom Merritt and Sarah Lane.Links to stories discussed in this episode can be found here. Hosted on Acast. See acast.com/privacy for more information.

P.M. Edition for June 16. SpaceX said today that it would acquire the parent company of the AI coding tool Cursor for $60 billion. WSJ reporter Becky Peterson explains how the deal is intended to help SpaceX catch up with its AI rivals. Plus, the agreement to end the war will allow Iran to immediately begin selling oil. We hear from Journal national security reporter Alex Ward about the strategy behind this–and how it's going over with President Trump's supporters. And WSJ Heard on the Street writer Asa Fitch discusses how Qualcomm has been diversifying its business to cash in on the AI boom. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices