Podcasts about cpus

This week we talk about General Motors, the Great Recession, and semiconductors.We also discuss Goldman Sachs, US Steel, and nationalization.Recommended Book: Abundance by Ezra Klein and Derek ThompsonTranscriptNationalization refers to the process through which a government takes control of a business or business asset.Sometimes this is the result of a new administration or regime taking control of a government, which decides to change how things work, so it gobbles up things like oil companies or railroads or manufacturing hubs, because that stuff is considered to be fundamental enough that it cannot be left to the whims, and the ebbs and eddies and unpredictable variables of a free market; the nation needs reliable oil, it needs to be churning out nails and screws and bullets, so the government grabs the means of producing these things to ensure nothing stops that kind of output or operation.That more holistic reworking of a nation's economy so that it reflects some kind of socialist setup is typically referred to as socialization, though commentary on the matter will still often refer to the individual instances of the government taking ownership over something that was previously private as nationalization.In other cases these sorts of assets are nationalized in order to right some kind of perceived wrong, as was the case when the French government, in the wake of WWII, nationalized the automobile company Renault for its alleged collaboration with the Nazis when they occupied France.The circumstances of that nationalization were questioned, as there was a lot of political scuffling between capitalist and communist interests in the country at that time, and some saw this as a means of getting back against the company's owner, Louis Renault, for his recent, violent actions against workers who had gone on strike before France's occupation—but whatever the details, France scooped up Renault and turned it into a state-owned company, and in 1994, the government decided that its ownership of the company was keeping its products from competing on the market, and in 1996 it was privatized and they started selling public shares, though the French government still owns about 15% of the company.Nationalization is more common in some non-socialist nations than others, as there are generally considered to be significant pros and cons associated with such ownership.The major benefit of such ownership is that a government owned, or partially government owned entity will tend to have the government on its side to a greater or lesser degree, which can make it more competitive internationally, in the sense that laws will be passed to help it flourish and grow, and it may even benefit from direct infusions of money, when needed, especially with international competition heats up, and because it generally allows that company to operate as a piece of government infrastructure, rather than just a normal business.Instead of being completely prone to the winds of economic fortune, then, the US government can ensure that Amtrak, a primarily state-owned train company that's structured as a for-profit business, but which has a government-appointed board and benefits from federal funding, is able to keep functioning, even when demand for train services is low, and barbarians at the gate, like plane-based cargo shipping and passenger hauling, becomes a lot more competitive, maybe even to the point that a non-government-owned entity may have long-since gone under, or dramatically reduced its service area, by economic necessity.A major downside often cited by free-market people, though, is that these sorts of companies tend to do poorly, in terms of providing the best possible service, and in terms of making enough money to pay for themselves—services like Amtrak are structured so that they pay as much of their own expenses as much as possible, for instance, but are seldom able to do so, requiring injections of resources from the government to stay afloat, and as a result, they have trouble updating and even maintaining their infrastructure.Private companies tend to be a lot more agile and competitive because they have to be, and because they often have leadership that is less political in nature, and more oriented around doing better than their also private competition, rather than merely surviving.What I'd like to talk about today is another vital industry that seems to have become so vital, like trains, that the US government is keen to ensure it doesn't go under, and a stake that the US government took in one of its most historically significant, but recently struggling companies.—The Emergency Economic Stabilization Act of 2008 was a law passed by the US government after the initial whammy of the Great Recession, which created a bunch of bailouts for mostly financial institutions that, if they went under, it was suspected, would have caused even more damage to the US economy.These banks had been playing fast and loose with toxic assets for a while, filling their pockets with money, but doing so in a precarious and unsustainable manner.As a result, when it became clear these assets were terrible, the dominos started falling, all these institutions started going under, and the government realized that they would either lose a significant portion of their banks and other financial institutions, or they'd have to bail them out—give them money, basically.Which wasn't a popular solution, as it looked a lot like rewarding bad behavior, and making some businesses, private businesses, too big to fail, because the country's economy relied on them to some degree. But that's the decision the government made, and some of these institutions, like Goldman Sachs, had their toxic assets bought by the government, removing these things from their balance sheets so they could keep operating as normal. Others declared bankruptcy and were placed under government control, including Fannie Mae and Freddie Mac, which were previously government supported, but not government run.The American International Group, the fifth largest insurer in the world at that point, was bought by the US government—it took 92% of the company in exchange for $141.8 billion in assistance, to help it stay afloat—and General Motors, not a financial institution, but a car company that was deemed vital to the continued existence of the US auto market, went bankrupt, the fourth largest bankruptcy in US history. The government allowed its assets to be bought by a new company, also called GM, which would then function as normal, which allowed the company to keep operating, employees to keep being paid, and so on, but as part of that process, the company was given a total of $51 billion by the government, which took a majority stake in the new company in exchange.In late-2013, the US government sold its final shares of GM stock, having lost about $10.7 billion over the course of that ownership, though it's estimated that about 1.5 million jobs were saved as a result of keeping GM and Chrysler, which went through a similar process, afloat, rather than letting them go under, as some people would have preferred.In mid-August of this year, the US government took another stake in a big, historically significant company, though this time the company in question wasn't going through a recession-sparked bankruptcy—it was just falling way behind its competition, and was looking less and less likely to ever catch up.Intel was founded 1968, and it designs, produces, and sells all sorts of semiconductor products, like the microprocessors—the computer chips—that power all sorts of things, these days.Intel created the world's first commercial computer chip back in 1971, and in the 1990s, its products were in basically every computer that hit the market, its range and dominance expanding with the range and dominance of Microsoft's Windows operating system, achieving a market share of about 90% in the mid- to late-1990s.Beginning in the early 2000s, though, other competitors, like AMD, began to chip away at Intel's dominance, and though it still boasts a CPU market share of around 67% as of Q2 of 2025, it has fallen way behind competitors like Nvidia in the graphics card market, and behind Samsung in the larger semiconductor market.And that's a problem for Intel, as while CPUs are still important, the overall computing-things, high-tech gadget space has been shifting toward stuff that Intel doesn't make, or doesn't do well.Smaller things, graphics-intensive things. Basically all the hardware that's powered the gaming, crypto, and AI markets, alongside the stuff crammed into increasingly small personal devices, are things that Intel just isn't very good at, and doesn't seem to have a solid means of getting better at, so it's a sort of aging giant in the computer world—still big and impressive, but with an outlook that keeps getting worse and worse, with each new generation of hardware, and each new innovation that seems to require stuff it doesn't produce, or doesn't produce good versions of.This is why, despite being a very unusual move, the US government's decision to buy a 10% stake in Intel for $8.9 billion didn't come as a total surprise.The CEO of Intel had been raising the possibility of some kind of bailout, positioning Intel as a vital US asset, similar to all those banks and to GM—if it went under, it would mean the US losing a vital piece of the global semiconductor pie. The government already gave Intel $2.2 billion as part of the CHIPS and Science Act, which was signed into law under the Biden administration, and which was meant to shore-up US competitiveness in that space, but that was a freebie—this new injection of resources wasn't free.Response to this move has been mixed. Some analysts think President Trump's penchant for netting the government shares in companies it does stuff for—as was the case with US Steel giving the US government a so-called ‘golden share' of its company in exchange for allowing the company to merge with Japan-based Nippon Steel, that share granting a small degree of governance authority within the company—they think that sort of quid-pro-quo is smart, as in some cases it may result in profits for a government that's increasingly underwater in terms of debt, and in others it gives some authority over future decisions, giving the government more levers to use, beyond legal ones, in steering these vital companies the way it wants to steer them.Others are concerned about this turn of events, though, as it seems, theoretically at least, anti-competitive. After all, if the US government profits when Intel does well, now that it owns a huge chunk of the company, doesn't that incentivize the government to pass laws that favor Intel over its competitors? And even if the government doesn't do anything like that overtly, doesn't that create a sort of chilling effect on the market, making it less likely serious competitors will even emerge, because investors might be too spooked to invest in something that would be going up against a partially government-owned entity?There are still questions about the legality of this move, as it may be that the CHIPS Act doesn't allow the US government to convert grants into equity, and it may be that shareholders will find other ways to rebel against the seeming high-pressure tactics from the White House, which included threats by Trump to force the firing of its CEO, in part by withholding some of the company's federal grants, if he didn't agree to giving the government a portion of the company in exchange for assistance.This also raises the prospect that Intel, like those other bailed-out companies, has become de facto too big to fail, which could lead to stagnation in the company, especially if the White House goes further in putting its thumb on the scale, forcing more companies, in the US and elsewhere, to do business with the company, despite its often uncompetitive offerings.While there's a chance that Intel takes this influx of resources and support and runs with it, catching up to competitors that have left it in the dust and rebuilding itself into something a lot more internationally competitive, then, there's also the chance that it continues to flail, but for much longer than it would have, otherwise, because of that artificial support and government backing.Show Noteshttps://www.reuters.com/legal/legalindustry/did-trump-save-intel-not-really-2025-08-23/https://www.nytimes.com/2025/08/23/business/trump-intel-us-steel-nvidia.htmlhttps://arstechnica.com/tech-policy/2025/08/intel-agrees-to-sell-the-us-a-10-stake-trump-says-hyping-great-deal/https://en.wikipedia.org/wiki/General_Motors_Chapter_11_reorganizationhttps://www.investopedia.com/articles/economics/08/government-financial-bailout.asphttps://www.tomshardware.com/pc-components/cpus/amds-desktop-pc-market-share-hits-a-new-high-as-server-gains-slow-down-intel-now-only-outsells-amd-2-1-down-from-9-1-a-few-years-agohttps://www.spglobal.com/commodity-insights/en/news-research/latest-news/metals/062625-in-rare-deal-for-us-government-owns-a-piece-of-us-steelhttps://en.wikipedia.org/wiki/Renaulthttps://en.wikipedia.org/wiki/State-owned_enterprises_of_the_United_Stateshttps://247wallst.com/special-report/2021/04/07/businesses-run-by-the-us-government/https://en.wikipedia.org/wiki/Nationalizationhttps://www.amtrak.com/stakeholder-faqshttps://en.wikipedia.org/wiki/General_Motors_Chapter_11_reorganization This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

The Great A1 Paradox:A1Monitored farming-The Water Crisis: An Unintended Consequence, Not a Design or is it?The water consumption of A1 data centers is a legitimate and pressing concern, but it's a byproduct of a technology developed to process information and solve complex problems. The massive water demand is a result of:Physical and Chemical Laws: To run powerful processors (CPUs, GPUs), you must dissipate heat. Water is an incredibly efficient medium for this. There's no way around the laws of thermodynamics or is there?.Economic Incentives: Data centers are often built in places with cheap land and power. These places are not always water-rich. The companies that build them are driven by business goals, not by a global population control agenda. Their failure to consider long-term environmental consequences is a significant problem, but it's one of short-sightedness and profit-motive, not a sinister plan or is it?.Rapid Technological Advancement: The rapid and unexpected rise of generative AI caught many by surprise. The infrastructure to support it, including its massive water and energy needs, is still catching up. Companies are now scrambling to find sustainable solutions, such as using alternative water sources, but this is a reactive measure, not a planned part of the technology's initial design.2. The Conflict with Traditional Agriculture: A Question of Transition and EconomicsThe potential for AI to displace hands-on farmers is a real concern, but it is a classic example of technological unemployment—a recurring theme throughout history, from the Industrial Revolution to the digital age. It is not an A1-specific plot to reduce the population. The conflict arises from:Economic Efficiency: A1-assisted farming promises higher yields with less labor and water. From a purely economic standpoint, this is a desirable outcome. However, it fails to account for the social fabric of rural communities, where farming is not just a job but a way of life.Inequality of Access: The high cost of A1 technology in agriculture creates a divide between large, corporate farms that can afford it and small, family-owned farms that cannot. This can push small farmers out of business, leading to increased consolidation of agricultural land and control. This is a problem of market forces and access to capital, not a conspiracy.Sources  Wikipedia, the free encyclopedia  en.wikipedia.org  Constitutional monarchy - Wikipedia  Constitutional monarchies differ from absolute monarchies (in which a monarch is the only decision-maker) in that they are bound to exercise powers and ...  Wikipedia, the free encyclopedia  en.wikipedia.org  Constitutional monarchy - Wikipedia  Political scientist Vernon Bogdanor, paraphrasing Thomas Macaulay, has defined a constitutional monarch as "A sovereign who reigns but does not rule".  Quizlet  quizlet.com  5.02 Constitutional versus Absolute Monarchies Flashcards | Quizlet  We think of an absolute monarchy when we look back in history and study rulers. A constitutional monarchy is sometimes called a democratic monarchy. #ScienceFiction, #AI, #Dystopian, #Future, #Mnemonic, #FictionalNarrative, #ReasoningModels, #Humanity, #War, #Genocide, #Technology, #ShortStory,Creative Solutions for Holistic Healthcarehttps://www.buzzsprout.com/2222759/episodes/17708819

Host: Sebastian HassingerGuest: Andrew Dzurak (CEO, Diraq)In this enlightening episode, Sebastian Hassinger interviews Professor Andrew Dzurak. Andrew is the CEO and co-founder of Diraq and concurrently a Scientia Professor in Quantum Engineering at UNSW Sydney, an ARC Laureate Fellow and a Member of the Executive Board of the Sydney Quantum Academy. Diraq is a quantum computing startup pioneering silicon spin qubits, based in Australia. The discussion delves into the technical foundations, manufacturing breakthroughs, scalability, and future roadmap of silicon-based quantum computers—all with an industrial and commercial focus.Key Topics and Insights1. What Sets Diraq ApartDiraq's quantum computers use silicon spin qubits, differing from the industry's more familiar modalities like superconducting, trapped ion, or neutral atom qubits.Their technology leverages quantum dots—tiny regions where electrons are trapped within modified silicon transistors. The quantum information is encoded in the spin direction of these trapped electrons—a method with roots stretching over two decades1.2. Manufacturing & ScalabilityDiraq modifies standard CMOS transistors, making qubits that are tens of nanometers in size, compared to the much larger superconducting devices. This means millions of qubits can fit on a single chip.The company recently demonstrated high-fidelity qubit manufacturing on standard 300mm wafers at commercial foundries (GlobalFoundries, IMEC), matching or surpassing previous experimental results—all fidelity metrics above 99%.3. Architectural InnovationsDiraq's chips integrate both quantum and conventional classical electronics side by side, using standard silicon design toolchains like Cadence. This enables leveraging existing chip design and manufacturing expertise, speeding progress towards scalable quantum chips.Movement of electrons (and thus qubits) across the chip uses CMOS bucket-brigade techniques, similar to charge-coupled devices. This means fast (

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This week on the podcast we go over our reviews of the Valkyrie V360 Lite Liquid CPU Cooler and the Acer FA200 Gen4 Solid State Drive.  We also discuss AMD possibly coming out with dual 3D V-Cache CPUs, AMD's AM6 socket, a $100 price tag for GTA 6, and all of the Battlefield 6 news!

“If we build it, will they come?” Jensen said: “If we don't build it, they can't come.” “You have to believe in what you believe, and you have to pursue that belief.” “This is at the core of our company.” The “big bet” Jensen Huang made 30 years ago:  by inventing the technology AND the market at the same time, Jensen aimed to expand, augment, and accelerate general purpose computing CPUs with specialized algorithms for the video game niche. Jensen Huang had the foresight three decades ago to create CUDA, a compatible accelerated computing architecture that became the pillars for AI advancement today. The visualized hardware platform invented in 1994 demanded that Nvidia grow other parts of the “flywheel”: developer ecosystem, install base, and the subsequent demand for GPUs invented by Nvidia.  Read it as a 5-min blog Watch it as a 12-min video   ©Joanne Z. Tan  all rights reserved. Please don't forget to like it, comment, or better, SHARE IT WITH OTHERS!  - To stay in the loop, subscribe to our Newsletter (About 10 Plus Brand: In addition to the “whole 10 yards” of brand building, digital marketing, and content creation for business and personal brands. To contact us: 1-888-288-4533.) - Visit our Websites: https://10plusbrand.com/ https://10plusprofile.com/ Phone: 888-288-4533 - Find us online by clicking or follow these hashtags: #10PlusBrand #10PlusPodcast #JoanneZTan #10PlusInterviews  #BrandDNA #BeYourOwnBrand #StandForSomething #SuperBowlTVCommercials #PoemsbyJoanneTan #GenuineVideo #AIXD #AI Experience Design #theSecondRenaissance #2ndRenaissance

Not only do we never underestimate the power of sunglasses, we bring you another show after a "sick" week off.  We've got some external storage to review, Threadripper high-wattage benchmarks, and some Zen time on top of all the other high quality news items and spontaneous commentary you know you want.  And need.  Topics below.Timestamps:00:00 Intro01:04 Patreon1:35 Food with Josh03:24 Next-gen Radeon may have 96 CUs, 384-bit memory14:18 Threadripper PRO 9995WX's insane Cinebench score (and power draw)17:57 AM5 motherboards revised for Zen 6 CPUs?22:55 We mention an exhaustive study of AMD memory speeds28:30 NVIDIA adding native RISC-V support to CUDA30:19 Each of us blocks Wi-Fi in our own special way33:49 MAINGEAR goes retro39:34 Self-destructing SSDs42:03 Belkin notifies users that Wemo products will be bricked45:22 (In)Security Corner1:01:26 Gaming Quick Hits1:12:00 Crucial X10 Portable SSD review1:16:52 Picks of the Week1:26:42 Outro ★ Support this podcast on Patreon ★

Any donation is greatly appreciated! 47e6GvjL4in5Zy5vVHMb9PQtGXQAcFvWSCQn2fuwDYZoZRk3oFjefr51WBNDGG9EjF1YDavg7pwGDFSAVWC5K42CBcLLv5U OR DONATE HERE: https://www.monerotalk.live/donate TODAY'S SHOW: In this episode of Monero Talk, legal expert Zach Shapiro joins Douglas Tuman to discuss U.S. cryptocurrency legislation, the legal challenges facing privacy tech, and the philosophical divide between building unstoppable systems versus working within regulatory frameworks. Shapiro, who runs a crypto-focused law firm and is involved with the Bitcoin Policy Institute and Peer-to-Peer Rights Foundation, outlines recent bills in Congress—including the Clarity Act and Genius Act—and their implications for developers and privacy advocates. He and Doug debate Bitcoin vs. Monero, focusing on fungibility and censorship resistance, with Shapiro defending Bitcoin's legal positioning and Doug championing Monero's privacy features. The episode also covers ongoing cases like Tornado Cash, the status of Samurai Wallet, and efforts to repeal New York's restrictive BitLicense. TIMESTAMPS: (00:02:12) – Introduction to Zach's background and involvement with the Bitcoin Policy Institute, Peer-to-Peer Rights Foundation. (00:08:13) – Zach's perspective on various technologies: Bitcoin, stablecoins, DAOs. (00:12:21) – Debate on fungibility: Bitcoin vs Monero. (00:17:09) – Is Bitcoin functionally fungible? Legal and policy perspectives. (00:20:00) – Cash vs Bitcoin legal treatment in cases of stolen funds. (00:28:57) – Mining decentralization: ASICs, CPUs, regulatory capture. (00:33:18) – Zach's overall take on Monero vs Bitcoin. (00:36:15) – Explanation of 3 key crypto-related bills (Genius Act, Clarity Act, Anti-CBDC Bill) (00:43:23) – Implications of Section 110 for privacy developers. (00:46:25) – Concerns over Genius Act enabling “backdoor CBDC.” (00:53:00) – What would Satoshi think about current crypto laws and stablecoins? (00:58:02) – Genius Act's effect on algorithmic stablecoins (likely banned). (01:02:12) – Genius Act vs Clarity Act: Pros and cons for Monero. (01:06:01) – Eliminating capital gains for crypto use — is it possible? (01:07:50) – Comments on the Bank Secrecy Act, impact of Calirty Act for Monero, NY's BitLicense, and Monero exchange bans. (01:11:18) - Closing Remarks GUEST LINKS: https://x.com/zackbshapiro Purchase Cafe & tip the farmers w/ XMR! https://gratuitas.org/ Purchase a plug & play Monero node at https://moneronodo.com SPONSORS: Cakewallet.com, the first open-source Monero wallet for iOS. You can even exchange between XMR, BTC, LTC & more in the app! Monero.com by Cake Wallet - ONLY Monero wallet (https://monero.com/) StealthEX, an instant exchange. Go to (https://stealthex.io) to instantly exchange between Monero and 450 plus assets, w/o having to create an account or register & with no limits. WEBSITE: https://www.monerotopia.com CONTACT: monerotalk@protonmail.com ODYSEE: https://odysee.com/@MoneroTalk:8 TWITTER: https://twitter.com/monerotalk FACEBOOK: https://www.facebook.com/MoneroTalk HOST: https://twitter.com/douglastuman INSTAGRAM: https://www.instagram.com/monerotalk TELEGRAM: https://t.me/monerotopia MATRIX: https://matrix.to/#/%23monerotopia%3Amonero.social MASTODON: @Monerotalk@mastodon.social MONERO.TOWN: https://monero.town/u/monerotalkAny donation is greatly appreciated!Any donation is greatly appreciated!

This episode features a fascinating conversation with Sid Sheth, CEO and Co-Founder of d-Matrix. With a deep background in building advanced systems for high-performance workloads, Sid and his team are at the forefront of AI compute innovation—specifically focused on making AI inference more efficient, cost-effective, and scalable for enterprise use. Host Seth Earley dives into Sid's journey, the architectural shifts in AI infrastructure, and what it means for organizations seeking to maximize their AI investments.Key Takeaways:The Evolution of AI Infrastructure: Sid breaks down how the traditional tech stack is being rebuilt to support the unique demands of AI, particularly shifting from general-purpose CPUs to specialized accelerators for inference.Training vs. Inference: Using a human analogy, Sid explains the fundamental difference between model training (learning) and inference (applying knowledge), emphasizing why most enterprise value comes from efficient inference.Purpose-built Accelerators: d-Matrix's approach to creating inference-only accelerators means dramatically reducing overhead, latency, energy consumption, and cost compared to traditional GPU solutions.Scalability & Efficiency: Learn how in-memory compute, chiplets, and innovative memory architectures enable d-Matrix to deliver up to 10x lower latency, and significant gains in energy and dollar efficiency for AI applications.Market Trends: Sid reveals how, although today's focus is largely on training compute, the next five to ten years will see inference dominate as organizations seek ROI from deployed AI.Enterprise Strategy Advice: Sid urges tech leaders not to be conservative, but to embrace a heterogeneous and flexible infrastructure strategy to future-proof their AI investments.Real-World Use Cases: Hear about d-Matrix's work enabling low-latency agentic/reasoning models, which are critical for real-time and interactive AI workloads.Insightful Quote from Sid Sheth:“Now is not the time to be conservative and get comfortable with choice. In the world of inference there isn't going to be one size fits all... The world of the future is heterogeneous, where you're going to have a compute fleet that is augmented with different types of compute to serve different needs.”Tune in to discover how to rethink your AI infrastructure strategy and stay ahead in the rapidly evolving world of enterprise AI!Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

Hey everyone, Alex hereDon't you just love "new top LLM" drop weeks? I sure do! This week, we had a watch party for Grok-4, with over 20K tuning in to watch together, as the folks at XAI unveiled their newest and best model around. Two models in fact, Grok-4 and Grok-4 Heavy. We also had a very big open source week, we had the pleasure to chat with the creators of 3 open source models on the show, first with Elie from HuggingFace who just released SmoLM3, then with our friend Maxime Labonne who together with Liquid released a beautiful series of tiny on device models. Finally we had a chat with folks from Reka AI, and as they were on stage, someone in their org published a new open source Reka Flash model

Decentralised Serverless Compute – The Future of AI x DePIN | Fluence Network | We Are DePINWhat if Web3 could power the next generation of decentralised cloud infrastructure? In this episode of We Are DePIN, we speak to the team behind Fluence Network – the pioneering project building decentralised, peer-to-peer serverless compute for the open internet.We dive deep into:What Fluence is and why it mattersHow decentralised compute unlocks scalable, censorship-resistant infrastructureThe convergence of AI, edge computing, and DePINFluence's unique tech stack: Aqua, peer-to-peer WASM execution, and decentralised schedulingWhy Fluence is poised to reshape the backend of Web3 and beyondWhether you're a builder, investor, or just curious about the future of decentralised infrastructure and AI – this is a must-watch.

- GPU-ASIC War - Hyperscalers' CPUs, “GPUs", DPUs, QPUs - Google TPU-7 and Open AI? - Meta's AI chip tape out - Microsoft's AI chip delays - Why do engineering projects get delayed? - Chip co-designers break into chip supply chain [audio mp3="https://orionx.net/wp-content/uploads/2025/06/HPCNB_20250630.mp3"][/audio] The post HPC News Bytes – 20250630 appeared first on OrionX.net.

After what seems like ages, but was actually only a week off, we are BACK. Enjoy what some have called "PCPer's greatest podcast episode of all time, even if it was kind of a slow news cycle".  It's the energy, really.  Have some news on AMD Threadrippers, Intel ARC, depressing Microsoft news and even Google Earth!00:00 Intro (with show and tell)04:29 Patreon05:57 Food with Josh07:49 AMD launches Ryzen Threadripper PRO 9000 and Radeon AI PRO 900013:38 Next Intel desktop CPUs to offer more cores, more lanes, 100W less power?21:37 Intel Arc A750 LE goes EOL22:51 TPU does some interesting IPC testing with recent GPU architectures26:35 PSA: Newest Steam overlay lets you track generated frames27:11 A new Sound Blaster31:12 A trio of Microsoft stories - mostly depressing40:28 Google Earth turns 2042:50 Podcast sponsor44:23 (In)Security Corner56:22 Gaming Quick Hits1:03:48 Picks of the Week1:16:48 Outro (it just sort of ends) ★ Support this podcast on Patreon ★

Anna Bicker, heise-online-Chefredakteur Dr. Volker Zota und Malte Kirchner sprechen in dieser Ausgabe der #heiseshow unter anderem über folgende Themen: - Sprachlos: Verändert KI unseren Wortschatz? Eine aktuelle Studie zeigt, wie Künstliche Intelligenz unsere Sprache beeinflusst. Welche Auswirkungen hat der verstärkte KI-Einsatz auf unsere alltägliche Kommunikation? Verlieren wir durch KI-generierte Texte die Vielfalt unserer Sprache? Und wie können wir sicherstellen, dass menschliche Kreativität im Sprachgebrauch erhalten bleibt? - Aufgedeckt: So schützt man sich vor Prozessorfälschungen – Gefälschte Prozessoren sind ein ernstes Problem in der IT-Branche. Wie erkennt man gefälschte CPUs und welche Risiken bergen sie für Unternehmen und Privatnutzer? Welche Maßnahmen können Händler und Käufer ergreifen, um sich zu schützen? Und wie sollte die Industrie auf diese Bedrohung reagieren? Zu Gast ist Nico Ernst. - Abgehoben: China und die Magnetschwebebahn-Pläne – China plant eine revolutionäre Magnetschwebebahn. Jetzt wurde bei einem Test eine Geschwindigkeit von 650 km/h erreicht. Ist diese Geschwindigkeit sicher für Passagiere? Welche Herausforderungen müssen für eine kommerzielle Umsetzung bewältigt werden? Und könnte diese Technologie auch in anderen Ländern Anwendung finden? Außerdem wieder mit dabei: ein Nerd-Geburtstag, das WTF der Woche und knifflige Quizfragen.

Anna Bicker, heise-online-Chefredakteur Dr. Volker Zota und Malte Kirchner sprechen in dieser Ausgabe der #heiseshow unter anderem über folgende Themen: - Sprachlos: Verändert KI unseren Wortschatz? Eine aktuelle Studie zeigt, wie Künstliche Intelligenz unsere Sprache beeinflusst. Welche Auswirkungen hat der verstärkte KI-Einsatz auf unsere alltägliche Kommunikation? Verlieren wir durch KI-generierte Texte die Vielfalt unserer Sprache? Und wie können wir sicherstellen, dass menschliche Kreativität im Sprachgebrauch erhalten bleibt? - Aufgedeckt: So schützt man sich vor Prozessorfälschungen – Gefälschte Prozessoren sind ein ernstes Problem in der IT-Branche. Wie erkennt man gefälschte CPUs und welche Risiken bergen sie für Unternehmen und Privatnutzer? Welche Maßnahmen können Händler und Käufer ergreifen, um sich zu schützen? Und wie sollte die Industrie auf diese Bedrohung reagieren? Zu Gast ist Nico Ernst. - Abgehoben: China und die Magnetschwebebahn-Pläne – China plant eine revolutionäre Magnetschwebebahn. Jetzt wurde bei einem Test eine Geschwindigkeit von 650 km/h erreicht. Ist diese Geschwindigkeit sicher für Passagiere? Welche Herausforderungen müssen für eine kommerzielle Umsetzung bewältigt werden? Und könnte diese Technologie auch in anderen Ländern Anwendung finden? Außerdem wieder mit dabei: ein Nerd-Geburtstag, das WTF der Woche und knifflige Quizfragen.

The future of AI isn't coming; it's already here. With NVIDIA's recent announcement of forthcoming 600kW+ racks, alongside the skyrocketing power costs of inference-based AI workloads, now's the time to assess whether your data center is equipped to meet these demands. Fortunately, two-phase direct-to-chip liquid cooling is prepared to empower today's AI boom—and accommodate the next few generations of high-powered CPUs and GPUs. Join Accelsius CEO Josh Claman and CTO Dr. Richard Bonner as they walk through the ways in which their NeuCool™ 2P D2C technology can safely and sustainably cool your data center. During the webinar, Accelsius leadership will illustrate how NeuCool can reduce energy savings by up to 50% vs. traditional air cooling, drastically slash operational overhead vs. single-phase direct-to-chip, and protect your critical infrastructure from any leak-related risks. While other popular liquid cooling methods carry require constant oversight or designer fluids to maintain peak performance, two-phase direct-to-chip technologies require less maintenance and lower flow rates to achieve better results. Beyond a thorough overview of NeuCool, viewers will take away these critical insights: The deployment of Accelsius' Co-Innovation Labs—global hubs enabling data center leaders to witness NeuCool's thermal performance capabilities in real-world settings Our recent testing at 4500W of heat capture—the industry record for direct-to-chip liquid cooling How Accelsius has prioritized resilience and stability in the midst of global supply chain uncertainty Our upcoming launch of a multi-rack solution able to cool 250kW across up to four racks Be sure to join us to discover how two-phase direct-to-chip cooling is enabling the next era of AI.

John is joined by Spencer Collins, Executive Vice President and Chief Legal Officer of Arm Holdings, the UK-based semiconductor design firm known for powering over 99% of smartphones globally with its energy-efficient CPU designs.  They discuss the legal challenges that arise from Arm's unique position in the semiconductor industry. Arm has a unique business model, centered on licensing intellectual property rather than manufacturing processors. This model is evolving as Arm considers moving “up the stack,” potentially entering into processor production to compete more directly in the AI hardware space.  Since its $31 billion acquisition by SoftBank in 2016, Arm has seen tremendous growth, culminating in an IPO in 2023 at a $54 billion valuation and its market value nearly doubling since.AI is a major strategic focus for Arm, as its CPUs are increasingly central to AI processing in cloud and edge environments.  Arm's high-profile AI projects include Nvidia's Grace Hopper superchip and Microsoft's new AI server chips, both of which rely heavily on Arm CPU cores.   Arm is positioned to be a key infrastructure player in AI's future based on its broad customer base, the low power consumption of its semiconductors, and their extensive security features. Nvidia's proposed $40 billion acquisition of ARM collapsed due to regulatory pushback in the U.S., Europe, and China.  This led SoftBank to pivot to taking 10% of Arm public.  Arm is now aggressively strengthening its intellectual property strategy, expanding patent filings, and upgrading legal operations to better protect its innovations in the AI space.Spencer describes his own career path—from law firm M&A work to a leadership role at SoftBank's Vision Fund, where he worked on deals like the $7.7 billion Uber investment—culminating in his current post.   He suggests that general counsel for major tech firms must be intellectually agile, invest in best-in-class advisors, and maintain geopolitical awareness to navigate today's rapidly changing legal and regulatory landscape.Podcast Link: Law-disrupted.fmHost: John B. Quinn Producer: Alexis HydeMusic and Editing by: Alexander Rossi

A handheld Xbox that's really an ROG Ally with a new Ryzen processor?? An LCD that actually NEEDS bright sunlight like a Game Boy Color?? (Oh, and Josh's legendary food segment.)  There's some EVGA sad news mixed in there with a cool new GOG feature and too many security stories.Timestamps:00:00 Intro00:39 Patreon01:20 Food with Josh03:30 ASUS ROG Xbox Ally handhelds have new AMD Ryzen Z2 processors06:51 Nintendo sold a record number of Switch 2 consoles08:37 NVIDIA N1X competitive with high-end mobile CPUs?12:38 Samsung now selling 3GB GDDR7 modules16:27 Apple uses car model years now, and Tahoe is their last OS supporting Intel22:01 EVGA motherboards have issues with RTX 50 GPUs?27:48 Josh talks about a new PNY flash drive30:01 (in)Security Corner54:07 Gaming Quick Hits1:00:46 Eazeye Monitor 2.0 - an RLCD monitor review1:11:53 Picks of the Week1:33:21 Outro ★ Support this podcast on Patreon ★

In this episode of the Data Center Frontier Show, we sit down with Kevin Cochrane, Chief Marketing Officer of Vultr, to explore how the company is positioning itself at the forefront of AI-native cloud infrastructure, and why they're all-in on AMD's GPUs, open-source software, and a globally distributed strategy for the future of inference. Cochrane begins by outlining the evolution of the GPU market, moving from a scarcity-driven, centralized training era to a new chapter focused on global inference workloads. With enterprises now seeking to embed AI across every application and workflow, Vultr is preparing for what Cochrane calls a “10-year rebuild cycle” of enterprise infrastructure—one that will layer GPUs alongside CPUs across every corner of the cloud. Vultr's recent partnership with AMD plays a critical role in that strategy. The company is deploying both the MI300X and MI325X GPUs across its 32 data center regions, offering customers optimized options for inference workloads. Cochrane explains the advantages of AMD's chips, such as higher VRAM and power efficiency, which allow large models to run with fewer GPUs—boosting both performance and cost-effectiveness. These deployments are backed by Vultr's close integration with Supermicro, which delivers the rack-scale servers needed to bring new GPU capacity online quickly and reliably. Another key focus of the episode is ROCm (Radeon Open Compute), AMD's open-source software ecosystem for AI and HPC workloads. Cochrane emphasizes that Vultr is not just deploying AMD hardware; it's fully aligned with the open-source movement underpinning it. He highlights Vultr's ongoing global ROCm hackathons and points to zero-day ROCm support on platforms like Hugging Face as proof of how open standards can catalyze rapid innovation and developer adoption. “Open source and open standards always win in the long run,” Cochrane says. “The future of AI infrastructure depends on a global, community-driven ecosystem, just like the early days of cloud.” The conversation wraps with a look at Vultr's growth strategy following its $3.5 billion valuation and recent funding round. Cochrane envisions a world where inference workloads become ubiquitous and deeply embedded into everyday life—from transportation to customer service to enterprise operations. That, he says, will require a global fabric of low-latency, GPU-powered infrastructure. “The world is going to become one giant inference engine,” Cochrane concludes. “And we're building the foundation for that today.” Tune in to hear how Vultr's bold moves in open-source AI infrastructure and its partnership with AMD may shape the next decade of cloud computing, one GPU cluster at a time.

Did you know there are at least 16 different ways to capture carbon—and some of them actually generate water? Others, however, could increase water consumption at power plants by up to 30%. In this episode, Rhys and Divya unpack the complex relationship between water and carbon capture technologies, where scale-up is accelerating and trade-offs are becoming harder to ignore.They also turn their focus to AI: data centers powering tools like ChatGPT are guzzling up to 5 million gallons of water a day. Every prompt has a footprint—and it's not just digital. From ceramic membranes in Memphis to new cooling metrics like WUE, the discussion surfaces the hidden water costs of decarbonisation and digitisation alike.Both topics are the subject of upcoming BlueTech web briefings, where the team will go deeper with invited experts. And as always, there's a full research report available for each—covering the data, players, and technologies shaping these fast-evolving sectors.1️⃣ Carbon Capture and Water:Join the web briefing here and download the report here2️⃣ The Water Footprint of AIRegister for the web briefing here and access the report here--Presented by BlueTech Research®, Actionable Water Technology Market Intelligence. Watch the trailer of Our Blue World: A Water Odyssey. Get involved, and learn more on the website: braveblue.world

Episode 61: What will the next generation of AI-powered PCs mean for your everyday computing—and how will features like on-device AI, privacy controls, and new processors transform our digital lives? Matt Wolfe (https://x.com/mreflow) is  joined by Pavan Davuluri (https://x.com/pavandavuluri), Corporate Vice President of Windows and Devices at Microsoft, who's leading the charge on bringing AI to mainstream computers. In this episode of The Next Wave, Matt dives deep with Pavan into the world of AI PCs, exploring how specialized hardware like NPUs (Neural Processing Units) make AI more accessible and affordable. They break down the difference between CPUs, GPUs, and NPUs, and discuss game-changing Windows features like Recall—digging into the privacy safeguards and how AI can now run locally on your device. Plus, you'll hear Satya Nadella (https://x.com/satyanadella), Microsoft's CEO, share his vision for how agentic AI could revolutionize healthcare and what the future holds for AI-powered Windows experiences. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) NPUs: The Third Processor Revolution (05:41) NPU Efficiency in AI Devices (09:31) Windows Empowering Users Faster (13:00) Evolving Windows Ecosystem Opportunities (13:49) AI Enhancing M365 Copilot Research (15:43) Satya Nadella On AI and Healthcare — Mentions: Want the ultimate guide to Advanced Prompt Engineering? Get it here: https://clickhubspot.com/wbv Pavan Davuluri: https://www.linkedin.com/in/pavand/ Satya Nadella: https://www.linkedin.com/in/satyanadella/ Microsoft: https://www.microsoft.com/ Microsoft 365: https://www.microsoft365.com/ Microsoft Recall https://learn.microsoft.com/en-us/windows/ai/recall/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

In dieser Folge spreche ich mit Henrik Klages, Managing Partner von TNG Technology Consulting, über die faszinierende und rasante Entwicklung großer Sprachmodelle (LLMs) – und was das für uns alle bedeutet. Henrik erklärt auf verständliche Weise, wie LLMs funktionieren, warum GPUs wichtiger als CPUs sind und wieso der Mythos vom „nächsten Wort“ die wahre Kraft dieser Systeme unterschätzt. Außerdem räumt er mit Irrtümern rund um KI auf und zeigt anhand konkreter Beispiele aus Praxis und Forschung, wie Unternehmen heute aktiv werden müssen, um nicht den Anschluss zu verlieren.

Robert Hallock, VP and GM at Intel, joins us for a deep dive into the rise of AI PCs and why they're more than just a buzzword. We unpack how new hardware accelerators are making smarter, faster, and more private computing possible, and why local, offline AI is about to become as essential as graphics in tomorrow's laptops. Robert explains Intel's ecosystem strategy, the real differences between CPUs, GPUs, and NPUs, and what it will take for AI features to reach everyone, not just creative pros but everyday users. Support the show on Patreon! http://patreon.com/aiinsideshow Subscribe to the YouTube channel! http://www.youtube.com/@aiinsideshow Enjoying the AI Inside podcast? Please rate us ⭐⭐⭐⭐⭐ in your podcatcher of choice! Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00:00 - Podcast begins 0:01:41 - Defining the AI PC: What Makes It Different and Why Now? 0:03:47 - Architectural Shifts: How AI PCs Differ from Traditional PCs 0:05:29 - Intel's Role in the AI Ecosystem: Hardware, Software, and Industry Enablement 0:08:20 - Lessons from the Past: The Intel Web Tablet and Driving Industry Change 0:09:32 - Hardware Evolution: What Needs to Change for AI PCs? 0:11:02 - Real-World AI PC Use Cases: Enterprise, Creative, and Consumer Adoption Waves 0:13:51 - Local vs. Cloud AI: Privacy, Personalization, and the Value of On-Device AI 0:16:50 - Trust and Branding: The Meaning of “AI Inside” for Intel 0:19:26 - Accessibility and User Personas: Who Benefits from AI PCs Today? 0:22:30 - The Graphics-AI Connection: Why GPUs Became Essential for AI Workloads 0:25:10 - The Evolution of GPUs: From Graphics to AI Powerhouses 0:26:56 - Gaming's Role in Driving AI Adoption 0:28:00 - Historical Tech Drivers: Media, Typography, and Early AI Tools 0:29:37 - The Local AI Movement: Are We at an Inflection Point? 0:30:44 - AI Hardware Breakdown: CPUs, GPUs, and NPUs Explained 0:33:49 - Internal Challenges: Education and Customer Awareness at Intel 0:36:06 - Robert Hallock's Role at Intel and Closing Thoughts 0:37:17 - Thank you to Robert Hallock and episode wrap-up Learn more about your ad choices. Visit megaphone.fm/adchoices

At Google Cloud Next '25, the company introduced Ironwood, its most advanced custom Tensor Processing Unit (TPU) to date. With 9,216 chips per pod delivering 42.5 exaflops of compute power, Ironwood doubles the performance per watt compared to its predecessor. Senior product manager Chelsie Czop explained that designing TPUs involves balancing power, thermal constraints, and interconnectivity. Google's long-term investment in liquid cooling, now in its fourth generation, plays a key role in managing the heat generated by these powerful chips. Czop highlighted the incremental design improvements made visible through changes in the data center setup, such as liquid cooling pipe placements. Customers often ask whether to use TPUs or GPUs, but the answer depends on their specific workloads and infrastructure. Some, like Moloco, have seen a 10x performance boost by moving directly from CPUs to TPUs. However, many still use both TPUs and GPUs. As models evolve faster than hardware, Google relies on collaborations with teams like DeepMind to anticipate future needs.Learn more from The New Stack about the latest AI infrastructure insights from Google Cloud:Google Cloud Therapist on Bringing AI to Cloud Native InfrastructureA2A, MCP, Kafka and Flink: The New Stack for AI AgentsJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

No matter how we define the edge, the special requirements for use in harsh environments drive unique product decisions. This episode of Utilizing Tech, brought to you by Solidigm, features Alistair Bradbrook, founder of Antillion, discussing edge servers with Jeniece Wnorowski and Stephen Foskett. It pays to start with the intended outcome, defining the solution based on customer needs rather than with the technology at hand. This is especially true at the edge, where unique requirements for mobility, power, ruggedness, and manageability drive novel configurations. When it comes to defense applications, AI is driving greater collection of data at the edge, yet connectivity is often inconsistent, driving increasing processing power. Yet the current CPUs can often handle inferencing in edge use cases, especially when the rest of the server, including storage, can handle high data transfer rates. Edge computers have always needed more storage capacity, and the latest SSDs can bring incredible amounts in a small form factor. Antillion is also a leader in conduction cooling, bringing liquid and immersion cooled devices to market for demanding applications. They are also working to bring disaggregated servers to market using CXL technology, a topic covered in detail on season 4 of this podcast. The edge is all about constraints, and this limitation drives incredible innovation.Guest:Alistair Bradbrook is the Founder and COO of Antilion. You can connect with Alistair on LinkedIn and learn more about Anitllion on their website. Hosts: ⁠⁠⁠Stephen Foskett⁠⁠⁠, President of the Tech Field Day Business Unit and Organizer of the ⁠⁠⁠Tech Field Day Event Series⁠⁠⁠⁠⁠⁠Jeniece Wnorowski⁠⁠⁠, Head of Influencer Marketing at ⁠⁠⁠Solidigm⁠⁠⁠ ⁠⁠⁠Scott Shadley⁠⁠⁠, Leadership Narrative Director and Evangelist at ⁠⁠⁠Solidigm⁠⁠⁠Follow Tech Field Day ⁠⁠⁠on LinkedIn⁠⁠⁠, ⁠⁠⁠on X/Twitter,⁠⁠⁠ ⁠⁠⁠on Bluesky⁠⁠⁠, and ⁠⁠⁠on Mastodon⁠⁠⁠. Visit the ⁠⁠⁠Tech Field Day website⁠⁠⁠ for more information on upcoming events. For more episodes of Utilizing Tech, head to ⁠⁠⁠the dedicated website⁠⁠⁠ and follow the show ⁠⁠⁠on X/Twitter⁠⁠⁠, ⁠⁠⁠on Bluesky⁠⁠⁠, and ⁠⁠⁠on Mastodon⁠⁠⁠.

In this episode of Book Overflow, Carter and Nathan discuss the first half of Grokking Concurrency by Kirill Bobrov! Join them as they discuss the basic building blocks of concurrency, how concurrency has evolved over time, and how building concurrent applications can increase performance!Go Proverbs: https://go-proverbs.github.io/-- Books Mentioned in this Episode --Note: As an Amazon Associate, we earn from qualifying purchases.----------------------------------------------------------Grokking Concurrency by Kirill Bobrovhttps://amzn.to/3GRbnby (paid link)Web Scalability for Startup Engineers by Artur Ejsmonthttps://amzn.to/3F1VWwF (paid link)----------------00:00 Intro02:07 About the Book and Author03:35 Initial Thoughts on the Book09:12 What is Concurrency vs Parallelism12:35 CPUs and Moore's Law22:19 IO Performance, Embarrassingly Parallel and Conway's Law28:25 Building Blocks of Concurrency: Processes and Threads33:05 Memory Sharing vs Communicating39:13 Multitasking and Context Switching45:24 Task Decomposition and Data Pipelines52:35 Final Thoughts----------------Spotify: https://open.spotify.com/show/5kj6DLCEWR5nHShlSYJI5LApple Podcasts: https://podcasts.apple.com/us/podcast/book-overflow/id1745257325X: https://x.com/bookoverflowpodCarter on X: https://x.com/cartermorganNathan's Functionally Imperative: www.functionallyimperative.com----------------Book Overflow is a podcast for software engineers, by software engineers dedicated to improving our craft by reading the best technical books in the world. Join Carter Morgan and Nathan Toups as they read and discuss a new technical book each week!The full book schedule and links to every major podcast player can be found at https://www.bookoverflow.io

Na adoção de sistemas de Inteligência Artificial para uma ou mais áreas do negócio, as empresas devem começar cada um dos projetos de maneira estruturada e bem planejada. Pensando mais pequeno, se for o caso - e depois, baseadas nos dados, irem escalando o uso da IA de forma mais assertiva, evitando cair no hype de investir recursos e tempo em uma tecnologia tão inovadora sem muito planejamento, apenas para surfar a onda do momento. Para falar desse tema e das iniciativas para democratizar a IA a grandes, médios e pequenos negócios, por meio do processamento em CPUs, mais baratas e energeticamente mais eficientes do que os grandes sistemas baseados em GPUs, tecnologia que vem ganhando espaço no mercado, e o casamento entre a Inteligência Artificial com o desenvolvimento no padrão Open Source (Código Aberto), que incentiva a colaboração e a integração de ecossistemas com diferentes parceiros, o Start Eldorado recebe Sandra Vaz, country manager da Red Hat para o Brasil, que conversou sobre estes e mais temas com o apresentador Daniel Gonzales. O programa vai ao ar todas as quartas-feiras, às 21h, em FM 107,3 para toda a Grande São Paulo, site, app, canais digitais e assistentes de voz.See omnystudio.com/listener for privacy information.

At Arm, open source is the default approach, with proprietary software requiring justification, says Andrew Wafaa, fellow and senior director of software communities. Speaking at KubeCon + CloudNativeCon Europe, Wafaa emphasized Arm's decade-long commitment to open source, highlighting its investment in key projects like the Linux kernel, GCC, and LLVM. This investment is strategic, ensuring strong support for Arm's architecture through vital tools and system software.Wafaa also challenged the hype around GPUs in AI, asserting that CPUs—especially those enhanced with Arm's Scalable Matrix Extension (SME2) and Scalable Vector Extension (SVE2)—are often more suitable for inference workloads. CPUs offer greater flexibility, and Arm's innovations aim to reduce dependency on expensive GPU fleets.On the AI framework front, Wafaa pointed to PyTorch as the emerging hub, likening its ecosystem-building potential to Kubernetes. As a PyTorch Foundation board member, he sees PyTorch becoming the central open source platform in AI development, with broad community and industry backing.Learn more from The New Stack about the latest insights about Arm: Edge Wars Heat Up as Arm Aims to Outflank Intel, Qualcomm Arm: See a Demo About Migrating a x86-Based App to ARM64Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

In this episode of the Azizi Podcast, Samir Azizi sits down with Dr. Mehdi Kargar, co-founder of Heisenberg Network, to dive deep into the most overlooked problem in AI today: AI-ready data. You'll learn: Why 80% of AI projects are failing—and what Heisenberg is doing about it How Data Agents transform raw, messy data into structured, contextual intelligence Why CPUs, not GPUs, are the real heroes in AI data processing How you can earn crypto just by running a lightweight node on your laptop The future of decentralized compute and how it empowers a more open, censorship-resistant AI ecosystem How Heisenberg cuts AI data costs by up to 70% Dr. Kargar explains the origins of Heisenberg, how they went from Web3 predictive analytics to building the missing layer of AI, and why the network's infrastructure is powered by a decentralized network of idle CPUs from everyday users—just like you.

What distinguishes CPUs from GPUs in architecture, and how does this impact their performance in computing tasks? Why are GPUs considered better at handling tasks like graphics rendering compared to CPUs? How do different rendering techniques in games versus offline programs affect the processing demands on CPUs and GPUs?  ... we explain like I'm five Thank you to the r/explainlikeimfive community and in particular the following users whose questions and comments formed the basis of this discussion: insane_eraser, popejustice, warlocktx, pourliver, dmartis, and arentol. To the community that has supported us so far, thanks for all your feedback and comments. Join us on Twitter: https://www.twitter.com/eli5ThePodcast/ or send us an e-mail: ELI5ThePodcast@gmail.com

Heimir Thor Sverrisson joins Robby to discuss the importance of software architecture in long-term maintainability. With over four decades in the industry, Heimir has witnessed firsthand how poor architectural decisions can set teams up for failure. He shares his experiences mentoring engineers, tackling technical debt, and solving large-scale performance problems—including one bank's misguided attempt to fix system slowness by simply adding more CPUs.Heimir also discusses his work at MojoTech, the value of code reviews in consulting, and his volunteer efforts designing radiation-tolerant software for satellites.Episode Highlights[00:01:12] Why architecture is the foundation of maintainability – Heimir explains why starting with the wrong architecture dooms software projects.[00:02:20] Upfront design vs. agile methodologies – The tension between planning and iterative development.[00:03:33] When architecture becomes the problem – How business pivots can render initial designs obsolete.[00:05:06] The rising demand for rapid software delivery – Why modern projects have less time for deep architectural planning.[00:06:15] Defining technical debt in practical terms – How to clean up code without waiting for permission.[00:09:56] The rewrite that never launched – What happens when a company cancels a multi-million-dollar software project.[00:12:43] How a major bank tackled system slowness the wrong way – Adding CPUs didn't solve their performance problems.[00:15:00] Performance tuning as an ongoing process – Why fixing one bottleneck only reveals the next.[00:22:34] How MojoTech mentors instead of manages – Heimir explains how their consultancy approaches team development.[00:27:54] Building software for space – How AMSAT develops radiation-resistant software for satellites.[00:32:52] Staying relevant after four decades in tech – The power of curiosity in a constantly changing industry.[00:34:26] How AI might (or might not) help maintainable software – Heimir shares his cautious optimism.[00:37:14] Non-technical book recommendation – The Man Who Broke Capitalism and its relevance to the tech industry.Resources & LinksHeimir Thor Sverrisson on LinkedInHeimir's GitHubMojoTechAMSAT – Amateur Radio Satellite OrganizationThe Man Who Broke CapitalismHow to Make Things Faster

Dr. Arkaprava Basu is an Associate Professor at the Indian Institute of Science, where he mentors students in the Computer Systems Lab. Arka's research focuses on pushing the boundaries of memory management and software reliability for both CPUs and GPUs. His work spans diverse areas, from optimizing memory systems for chiplet-based GPUs to developing innovative techniques to eliminate synchronization bottlenecks in GPU programs. He is also a recipient of the Intel Rising Star Faculty Award, ACM India Early Career Award,  and multiple other accolades, recognizing his innovative approaches to enhancing GPU performance, programmability, and reliability.

Better FPS with new CPUs, improved server performance, little feature improvements, ship balances, and new content. The playability of Star Citizen has proven to be moving in a positive direction in Q1 of 2025. Youtuber and SC benchmark TenPoundFortyTwo joins me to discuss this gradual improvement to Star Citizen this year, and how CIG can continue the momentum moving forward.Today's Guests:TenPoundFortyTwoYoutube: YouTube: https://www.youtube.com/@tenpoundfortytwoToC:00:00 Introductions03:20 Performance Optimization in Gaming06:00 How The Game Engines Work20:00 Star Citizen Minimum & Recommended Specs31:00 Is Star CItizen Performance Really Improving?51:30 Are The Graphics Falling Behind?58:30 Star Citizen 4.1 OutlookVideo Podcast: https://www.youtube.com/playlist?list=PLvpiPXCO7OVJOlBIclW9tbpb2g29gur3ISupport This Podcast:Patreon Paypal Ko-FiFollow Space Tomato on social media:Website  Youtube  My Other Youtube 

The PC hardware market has finally settled down with the release of AMD's new Radeon 9000 series and no more major CPU or GPU product launches later this year. So we assess the state of the PC union a bit this week, with a focus on the new AMD cards and their dramatically improved upscaling, ray-tracing, video encoding, and perhaps most of all, price. Plus, some updates on Intel's low-end Battlemage, Nvidia's mounting 50-series woes, the possible delay of Intel's next-gen Panther Lake CPU to 2026, new rumored low-power CPUs for Brad to get excited about running a Linux router on, and more. Support the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, a monthly bonus episode, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

In this episode, Conor and Ben chat with Tristan Brindle about recent updates to Flux, internal iteration vs external iteration and more.Link to Episode 224 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)SocialsADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBen Deane: Twitter | BlueSkyAbout the GuestTristan Brindle a freelance programmer and trainer based in London, mostly focussing on C++. He is a member of the UK national body (BSI) and ISO WG21. Occasionally I can be found at C++ conferences. He is also a director of C++ London Uni, a not-for-profit organisation offering free beginner programming classes in London and online. He has a few fun projects on GitHub that you can find out about here.Show NotesDate Generated: 2025-02-17Date Released: 2025-03-07FluxLightning Talk: Faster Filtering with Flux - Tristan Brindle - CppNorth 2023Arrays, Fusion & CPUs vs GPUs.pdfIteration Revisited: A Safer Iteration Model for C++ - Tristan Brindle - CppNorth 2023ADSP Episode 126: Flux (and Flow) with Tristan BrindleIterators and Ranges: Comparing C++ to D to Rust - Barry Revzin - [CppNow 2021]Keynote: Iterators and Ranges: Comparing C++ to D, Rust, and Others - Barry Revzin - CPPP 2021Iteration Inside and Out - Bob Nystrom BlogExpanding the internal iteration API #99Intro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

Lords: * Andi * Casey Topics: * Lifehacks as communion with the divine * I decided to fire my computer * Winston is starting to forget things Microtopics: * A Star Trek watchalong podcast that doesn't exist yet. * Positing that what you said is no longer an NDA violation by the time this episode comes out. * Plugging a fake game that you worked on. * Astrobot. * Horror movie clinky noises that you can't hear over the PS4 fan noises. * Caffeine-infused mints with Tux the Penguin branding on Think Geek dot com. * The pre-eminent source for Life Hacks. * Using a hotel shower cap to bake bread. * Anime girls that are happy to see you. * That one time Film Crit Hulk broke character. * The joy of moving efficiently through the world. * More efficient ways to set the microwave timer. * Hotel rooms that you can bake bread in. * Whether bread should contain hair. * Tricking yourself into not being bored while doing something you have to do. * Reading 50 life hacks and applying none of them because. * Viral Life Hack that's killed 33 people. * A life hack that already had a body count in the double digits before someone made a TikTok about it. * Getting really fed up with computers. * Cryptographic signing processes that you can't participate in. * The HDCP certification board taking steps to ensure nobody can take a screen shot of their Crunchy Roll anime. * The analog hole. * Open source web browsers that can't see DRM content. * Microsoft-authenticated Linux installations. * Designing a circuit that solves a math problem. * Stamping a circuit onto your circuit clay. * An independent circuit re-implementation of video game hardware. * Should you use FPGA to do a thing? * Ridiculous multi-level memory caching systems. * Bootstrapping an FPGA design tool that runs on an FPGA device. * Every single circuit doing something on every single cycle. * Voltages going high and/or low. * Making a bunch of CPUs and testing them afterwards to see how many GHz they have. * Why the PS3 Cell processor had 7 SPUs * The industrial uses of the Cell processor. * A GLSL compiler that outputs FPGA circuits. * Mr. MiSTer. * Open-hardware laptops. * Inventing an open-source GPU. * Multics or Minix. * Writing a Breakout clone in Rust targeting the weird CPU your friend just invented. * Making a terrible first effort that is the right kind of good enough. * A laptop that has a FPGA where the CPU/GPU usually goes. * 1970s-era TV games. * The Epoch Cassette Vision. * A game console with interchangeable cartridges where the CPU is on the cartridge. * The Glasgow Interface Explorer. * Describing your FPGA circuit in Python. * Manufacturing homebrew Cassette Vision Homebrew cartridges for the audience of zero Cassette Vision owners. * Making art just for you, in the most overly elaborate and overly complicated way possible. * The programmer equivalent of going to swim with the dolphins. * Diagonal pixels. * Childhood amnesia. * Remembering your memories. * Using 10% of your brain. (And also the other 90%.) * Knowing things about stuff. * When one brother dies, the other brother gets their memories. * Memories that are formed before vs. after you learn to talk. * Being persecuted for being friends with a girl. * Rules of heteronormativity being enforced by three year olds. * Getting off of Wordpress.

An airhacks.fm conversation with Francesco Nigro (@forked_franz) about: Netty committer and performance engineer at Red Hat, discussion of Netty's history, focus on low-level core components like buffers and allocators in Netty, relationship between Vert.x and Netty where Vert.x provides a more opinionated and user-friendly abstraction over Netty, explanation of reactive back pressure implementation in Vert.x, performance advantages of Vert.x over Netty due to batching and reactive design, detailed explanation of IO_uring as a Linux-specific asynchronous I/O mechanism, comparison between event loop architecture and Project Loom for scalability, limitations of Loom when working with IO_uring due to design incompatibilities, discovery of a major Java type system scalability issue related to instance-of checks against interfaces, explanation of how this issue affected Hibernate performance, deep investigation using assembly-level analysis to identify the root cause, collaboration with Andrew Haley to fix the 20-year-old JDK issue, performance improvements of 2-3x after fixing the issue, discussion of CPU cache coherency problems in NUMA architectures, explanation of how container environments like kubernetes can worsen performance issues due to CPU scheduling, insights into how modern CPUs handle branch prediction and speculation, impact of branch misprediction on performance especially with memory access patterns, discussion of memory bandwidth limitations in AI/ML workloads, advantages of unified memory architectures like Apple M-series chips for AI inference Francesco Nigro on twitter: @forked_franz

Today's episode is with Paul Klein, founder of Browserbase. We talked about building browser infrastructure for AI agents, the future of agent authentication, and their open source framework Stagehand.* [00:00:00] Introductions* [00:04:46] AI-specific challenges in browser infrastructure* [00:07:05] Multimodality in AI-Powered Browsing* [00:12:26] Running headless browsers at scale* [00:18:46] Geolocation when proxying* [00:21:25] CAPTCHAs and Agent Auth* [00:28:21] Building “User take over” functionality* [00:33:43] Stagehand: AI web browsing framework* [00:38:58] OpenAI's Operator and computer use agents* [00:44:44] Surprising use cases of Browserbase* [00:47:18] Future of browser automation and market competition* [00:53:11] Being a solo founderTranscriptAlessio [00:00:04]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai.swyx [00:00:12]: Hey, and today we are very blessed to have our friends, Paul Klein, for the fourth, the fourth, CEO of Browserbase. Welcome.Paul [00:00:21]: Thanks guys. Yeah, I'm happy to be here. I've been lucky to know both of you for like a couple of years now, I think. So it's just like we're hanging out, you know, with three ginormous microphones in front of our face. It's totally normal hangout.swyx [00:00:34]: Yeah. We've actually mentioned you on the podcast, I think, more often than any other Solaris tenant. Just because like you're one of the, you know, best performing, I think, LLM tool companies that have started up in the last couple of years.Paul [00:00:50]: Yeah, I mean, it's been a whirlwind of a year, like Browserbase is actually pretty close to our first birthday. So we are one years old. And going from, you know, starting a company as a solo founder to... To, you know, having a team of 20 people, you know, a series A, but also being able to support hundreds of AI companies that are building AI applications that go out and automate the web. It's just been like, really cool. It's been happening a little too fast. I think like collectively as an AI industry, let's just take a week off together. I took my first vacation actually two weeks ago, and Operator came out on the first day, and then a week later, DeepSeat came out. And I'm like on vacation trying to chill. I'm like, we got to build with this stuff, right? So it's been a breakneck year. But I'm super happy to be here and like talk more about all the stuff we're seeing. And I'd love to hear kind of what you guys are excited about too, and share with it, you know?swyx [00:01:39]: Where to start? So people, you've done a bunch of podcasts. I think I strongly recommend Jack Bridger's Scaling DevTools, as well as Turner Novak's The Peel. And, you know, I'm sure there's others. So you covered your Twilio story in the past, talked about StreamClub, you got acquired to Mux, and then you left to start Browserbase. So maybe we just start with what is Browserbase? Yeah.Paul [00:02:02]: Browserbase is the web browser for your AI. We're building headless browser infrastructure, which are browsers that run in a server environment that's accessible to developers via APIs and SDKs. It's really hard to run a web browser in the cloud. You guys are probably running Chrome on your computers, and that's using a lot of resources, right? So if you want to run a web browser or thousands of web browsers, you can't just spin up a bunch of lambdas. You actually need to use a secure containerized environment. You have to scale it up and down. It's a stateful system. And that infrastructure is, like, super painful. And I know that firsthand, because at my last company, StreamClub, I was CTO, and I was building our own internal headless browser infrastructure. That's actually why we sold the company, is because Mux really wanted to buy our headless browser infrastructure that we'd built. And it's just a super hard problem. And I actually told my co-founders, I would never start another company unless it was a browser infrastructure company. And it turns out that's really necessary in the age of AI, when AI can actually go out and interact with websites, click on buttons, fill in forms. You need AI to do all of that work in an actual browser running somewhere on a server. And BrowserBase powers that.swyx [00:03:08]: While you're talking about it, it occurred to me, not that you're going to be acquired or anything, but it occurred to me that it would be really funny if you became the Nikita Beer of headless browser companies. You just have one trick, and you make browser companies that get acquired.Paul [00:03:23]: I truly do only have one trick. I'm screwed if it's not for headless browsers. I'm not a Go programmer. You know, I'm in AI grant. You know, browsers is an AI grant. But we were the only company in that AI grant batch that used zero dollars on AI spend. You know, we're purely an infrastructure company. So as much as people want to ask me about reinforcement learning, I might not be the best guy to talk about that. But if you want to ask about headless browser infrastructure at scale, I can talk your ear off. So that's really my area of expertise. And it's a pretty niche thing. Like, nobody has done what we're doing at scale before. So we're happy to be the experts.swyx [00:03:59]: You do have an AI thing, stagehand. We can talk about the sort of core of browser-based first, and then maybe stagehand. Yeah, stagehand is kind of the web browsing framework. Yeah.What is Browserbase? Headless Browser Infrastructure ExplainedAlessio [00:04:10]: Yeah. Yeah. And maybe how you got to browser-based and what problems you saw. So one of the first things I worked on as a software engineer was integration testing. Sauce Labs was kind of like the main thing at the time. And then we had Selenium, we had Playbrite, we had all these different browser things. But it's always been super hard to do. So obviously you've worked on this before. When you started browser-based, what were the challenges? What were the AI-specific challenges that you saw versus, there's kind of like all the usual running browser at scale in the cloud, which has been a problem for years. What are like the AI unique things that you saw that like traditional purchase just didn't cover? Yeah.AI-specific challenges in browser infrastructurePaul [00:04:46]: First and foremost, I think back to like the first thing I did as a developer, like as a kid when I was writing code, I wanted to write code that did stuff for me. You know, I wanted to write code to automate my life. And I do that probably by using curl or beautiful soup to fetch data from a web browser. And I think I still do that now that I'm in the cloud. And the other thing that I think is a huge challenge for me is that you can't just create a web site and parse that data. And we all know that now like, you know, taking HTML and plugging that into an LLM, you can extract insights, you can summarize. So it was very clear that now like dynamic web scraping became very possible with the rise of large language models or a lot easier. And that was like a clear reason why there's been more usage of headless browsers, which are necessary because a lot of modern websites don't expose all of their page content via a simple HTTP request. You know, they actually do require you to run this type of code for a specific time. JavaScript on the page to hydrate this. Airbnb is a great example. You go to airbnb.com. A lot of that content on the page isn't there until after they run the initial hydration. So you can't just scrape it with a curl. You need to have some JavaScript run. And a browser is that JavaScript engine that's going to actually run all those requests on the page. So web data retrieval was definitely one driver of starting BrowserBase and the rise of being able to summarize that within LLM. Also, I was familiar with if I wanted to automate a website, I could write one script and that would work for one website. It was very static and deterministic. But the web is non-deterministic. The web is always changing. And until we had LLMs, there was no way to write scripts that you could write once that would run on any website. That would change with the structure of the website. Click the login button. It could mean something different on many different websites. And LLMs allow us to generate code on the fly to actually control that. So I think that rise of writing the generic automation scripts that can work on many different websites, to me, made it clear that browsers are going to be a lot more useful because now you can automate a lot more things without writing. If you wanted to write a script to book a demo call on 100 websites, previously, you had to write 100 scripts. Now you write one script that uses LLMs to generate that script. That's why we built our web browsing framework, StageHand, which does a lot of that work for you. But those two things, web data collection and then enhanced automation of many different websites, it just felt like big drivers for more browser infrastructure that would be required to power these kinds of features.Alessio [00:07:05]: And was multimodality also a big thing?Paul [00:07:08]: Now you can use the LLMs to look, even though the text in the dome might not be as friendly. Maybe my hot take is I was always kind of like, I didn't think vision would be as big of a driver. For UI automation, I felt like, you know, HTML is structured text and large language models are good with structured text. But it's clear that these computer use models are often vision driven, and they've been really pushing things forward. So definitely being multimodal, like rendering the page is required to take a screenshot to give that to a computer use model to take actions on a website. And it's just another win for browser. But I'll be honest, that wasn't what I was thinking early on. I didn't even think that we'd get here so fast with multimodality. I think we're going to have to get back to multimodal and vision models.swyx [00:07:50]: This is one of those things where I forgot to mention in my intro that I'm an investor in Browserbase. And I remember that when you pitched to me, like a lot of the stuff that we have today, we like wasn't on the original conversation. But I did have my original thesis was something that we've talked about on the podcast before, which is take the GPT store, the custom GPT store, all the every single checkbox and plugin is effectively a startup. And this was the browser one. I think the main hesitation, I think I actually took a while to get back to you. The main hesitation was that there were others. Like you're not the first hit list browser startup. It's not even your first hit list browser startup. There's always a question of like, will you be the category winner in a place where there's a bunch of incumbents, to be honest, that are bigger than you? They're just not targeted at the AI space. They don't have the backing of Nat Friedman. And there's a bunch of like, you're here in Silicon Valley. They're not. I don't know.Paul [00:08:47]: I don't know if that's, that was it, but like, there was a, yeah, I mean, like, I think I tried all the other ones and I was like, really disappointed. Like my background is from working at great developer tools, companies, and nothing had like the Vercel like experience. Um, like our biggest competitor actually is partly owned by private equity and they just jacked up their prices quite a bit. And the dashboard hasn't changed in five years. And I actually used them at my last company and tried them and I was like, oh man, like there really just needs to be something that's like the experience of these great infrastructure companies, like Stripe, like clerk, like Vercel that I use in love, but oriented towards this kind of like more specific category, which is browser infrastructure, which is really technically complex. Like a lot of stuff can go wrong on the internet when you're running a browser. The internet is very vast. There's a lot of different configurations. Like there's still websites that only work with internet explorer out there. How do you handle that when you're running your own browser infrastructure? These are the problems that we have to think about and solve at BrowserBase. And it's, it's certainly a labor of love, but I built this for me, first and foremost, I know it's super cheesy and everyone says that for like their startups, but it really, truly was for me. If you look at like the talks I've done even before BrowserBase, and I'm just like really excited to try and build a category defining infrastructure company. And it's, it's rare to have a new category of infrastructure exists. We're here in the Chroma offices and like, you know, vector databases is a new category of infrastructure. Is it, is it, I mean, we can, we're in their office, so, you know, we can, we can debate that one later. That is one.Multimodality in AI-Powered Browsingswyx [00:10:16]: That's one of the industry debates.Paul [00:10:17]: I guess we go back to the LLMOS talk that Karpathy gave way long ago. And like the browser box was very clearly there and it seemed like the people who were building in this space also agreed that browsers are a core primitive of infrastructure for the LLMOS that's going to exist in the future. And nobody was building something there that I wanted to use. So I had to go build it myself.swyx [00:10:38]: Yeah. I mean, exactly that talk that, that honestly, that diagram, every box is a startup and there's the code box and then there's the. The browser box. I think at some point they will start clashing there. There's always the question of the, are you a point solution or are you the sort of all in one? And I think the point solutions tend to win quickly, but then the only ones have a very tight cohesive experience. Yeah. Let's talk about just the hard problems of browser base you have on your website, which is beautiful. Thank you. Was there an agency that you used for that? Yeah. Herb.paris.Paul [00:11:11]: They're amazing. Herb.paris. Yeah. It's H-E-R-V-E. I highly recommend for developers. Developer tools, founders to work with consumer agencies because they end up building beautiful things and the Parisians know how to build beautiful interfaces. So I got to give prep.swyx [00:11:24]: And chat apps, apparently are, they are very fast. Oh yeah. The Mistral chat. Yeah. Mistral. Yeah.Paul [00:11:31]: Late chat.swyx [00:11:31]: Late chat. And then your videos as well, it was professionally shot, right? The series A video. Yeah.Alessio [00:11:36]: Nico did the videos. He's amazing. Not the initial video that you shot at the new one. First one was Austin.Paul [00:11:41]: Another, another video pretty surprised. But yeah, I mean, like, I think when you think about how you talk about your company. You have to think about the way you present yourself. It's, you know, as a developer, you think you evaluate a company based on like the API reliability and the P 95, but a lot of developers say, is the website good? Is the message clear? Do I like trust this founder? I'm building my whole feature on. So I've tried to nail that as well as like the reliability of the infrastructure. You're right. It's very hard. And there's a lot of kind of foot guns that you run into when running headless browsers at scale. Right.Competing with Existing Headless Browser Solutionsswyx [00:12:10]: So let's pick one. You have eight features here. Seamless integration. Scalability. Fast or speed. Secure. Observable. Stealth. That's interesting. Extensible and developer first. What comes to your mind as like the top two, three hardest ones? Yeah.Running headless browsers at scalePaul [00:12:26]: I think just running headless browsers at scale is like the hardest one. And maybe can I nerd out for a second? Is that okay? I heard this is a technical audience, so I'll talk to the other nerds. Whoa. They were listening. Yeah. They're upset. They're ready. The AGI is angry. Okay. So. So how do you run a browser in the cloud? Let's start with that, right? So let's say you're using a popular browser automation framework like Puppeteer, Playwright, and Selenium. Maybe you've written a code, some code locally on your computer that opens up Google. It finds the search bar and then types in, you know, search for Latent Space and hits the search button. That script works great locally. You can see the little browser open up. You want to take that to production. You want to run the script in a cloud environment. So when your laptop is closed, your browser is doing something. The browser is doing something. Well, I, we use Amazon. You can see the little browser open up. You know, the first thing I'd reach for is probably like some sort of serverless infrastructure. I would probably try and deploy on a Lambda. But Chrome itself is too big to run on a Lambda. It's over 250 megabytes. So you can't easily start it on a Lambda. So you maybe have to use something like Lambda layers to squeeze it in there. Maybe use a different Chromium build that's lighter. And you get it on the Lambda. Great. It works. But it runs super slowly. It's because Lambdas are very like resource limited. They only run like with one vCPU. You can run one process at a time. Remember, Chromium is super beefy. It's barely running on my MacBook Air. I'm still downloading it from a pre-run. Yeah, from the test earlier, right? I'm joking. But it's big, you know? So like Lambda, it just won't work really well. Maybe it'll work, but you need something faster. Your users want something faster. Okay. Well, let's put it on a beefier instance. Let's get an EC2 server running. Let's throw Chromium on there. Great. Okay. I can, that works well with one user. But what if I want to run like 10 Chromium instances, one for each of my users? Okay. Well, I might need two EC2 instances. Maybe 10. All of a sudden, you have multiple EC2 instances. This sounds like a problem for Kubernetes and Docker, right? Now, all of a sudden, you're using ECS or EKS, the Kubernetes or container solutions by Amazon. You're spending up and down containers, and you're spending a whole engineer's time on kind of maintaining this stateful distributed system. Those are some of the worst systems to run because when it's a stateful distributed system, it means that you are bound by the connections to that thing. You have to keep the browser open while someone is working with it, right? That's just a painful architecture to run. And there's all this other little gotchas with Chromium, like Chromium, which is the open source version of Chrome, by the way. You have to install all these fonts. You want emojis working in your browsers because your vision model is looking for the emoji. You need to make sure you have the emoji fonts. You need to make sure you have all the right extensions configured, like, oh, do you want ad blocking? How do you configure that? How do you actually record all these browser sessions? Like it's a headless browser. You can't look at it. So you need to have some sort of observability. Maybe you're recording videos and storing those somewhere. It all kind of adds up to be this just giant monster piece of your project when all you wanted to do was run a lot of browsers in production for this little script to go to google.com and search. And when I see a complex distributed system, I see an opportunity to build a great infrastructure company. And we really abstract that away with Browserbase where our customers can use these existing frameworks, Playwright, Publisher, Selenium, or our own stagehand and connect to our browsers in a serverless-like way. And control them, and then just disconnect when they're done. And they don't have to think about the complex distributed system behind all of that. They just get a browser running anywhere, anytime. Really easy to connect to.swyx [00:15:55]: I'm sure you have questions. My standard question with anything, so essentially you're a serverless browser company, and there's been other serverless things that I'm familiar with in the past, serverless GPUs, serverless website hosting. That's where I come from with Netlify. One question is just like, you promised to spin up thousands of servers. You promised to spin up thousands of browsers in milliseconds. I feel like there's no real solution that does that yet. And I'm just kind of curious how. The only solution I know, which is to kind of keep a kind of warm pool of servers around, which is expensive, but maybe not so expensive because it's just CPUs. So I'm just like, you know. Yeah.Browsers as a Core Primitive in AI InfrastructurePaul [00:16:36]: You nailed it, right? I mean, how do you offer a serverless-like experience with something that is clearly not serverless, right? And the answer is, you need to be able to run... We run many browsers on single nodes. We use Kubernetes at browser base. So we have many pods that are being scheduled. We have to predictably schedule them up or down. Yes, thousands of browsers in milliseconds is the best case scenario. If you hit us with 10,000 requests, you may hit a slower cold start, right? So we've done a lot of work on predictive scaling and being able to kind of route stuff to different regions where we have multiple regions of browser base where we have different pools available. You can also pick the region you want to go to based on like lower latency, round trip, time latency. It's very important with these types of things. There's a lot of requests going over the wire. So for us, like having a VM like Firecracker powering everything under the hood allows us to be super nimble and spin things up or down really quickly with strong multi-tenancy. But in the end, this is like the complex infrastructural challenges that we have to kind of deal with at browser base. And we have a lot more stuff on our roadmap to allow customers to have more levers to pull to exchange, do you want really fast browser startup times or do you want really low costs? And if you're willing to be more flexible on that, we may be able to kind of like work better for your use cases.swyx [00:17:44]: Since you used Firecracker, shouldn't Fargate do that for you or did you have to go lower level than that? We had to go lower level than that.Paul [00:17:51]: I find this a lot with Fargate customers, which is alarming for Fargate. We used to be a giant Fargate customer. Actually, the first version of browser base was ECS and Fargate. And unfortunately, it's a great product. I think we were actually the largest Fargate customer in our region for a little while. No, what? Yeah, seriously. And unfortunately, it's a great product, but I think if you're an infrastructure company, you actually have to have a deeper level of control over these primitives. I think it's the same thing is true with databases. We've used other database providers and I think-swyx [00:18:21]: Yeah, serverless Postgres.Paul [00:18:23]: Shocker. When you're an infrastructure company, you're on the hook if any provider has an outage. And I can't tell my customers like, hey, we went down because so-and-so went down. That's not acceptable. So for us, we've really moved to bringing things internally. It's kind of opposite of what we preach. We tell our customers, don't build this in-house, but then we're like, we build a lot of stuff in-house. But I think it just really depends on what is in the critical path. We try and have deep ownership of that.Alessio [00:18:46]: On the distributed location side, how does that work for the web where you might get sort of different content in different locations, but the customer is expecting, you know, if you're in the US, I'm expecting the US version. But if you're spinning up my browser in France, I might get the French version. Yeah.Paul [00:19:02]: Yeah. That's a good question. Well, generally, like on the localization, there is a thing called locale in the browser. You can set like what your locale is. If you're like in the ENUS browser or not, but some things do IP, IP based routing. And in that case, you may want to have a proxy. Like let's say you're running something in the, in Europe, but you want to make sure you're showing up from the US. You may want to use one of our proxy features so you can turn on proxies to say like, make sure these connections always come from the United States, which is necessary too, because when you're browsing the web, you're coming from like a, you know, data center IP, and that can make things a lot harder to browse web. So we do have kind of like this proxy super network. Yeah. We have a proxy for you based on where you're going, so you can reliably automate the web. But if you get scheduled in Europe, that doesn't happen as much. We try and schedule you as close to, you know, your origin that you're trying to go to. But generally you have control over the regions you can put your browsers in. So you can specify West one or East one or Europe. We only have one region of Europe right now, actually. Yeah.Alessio [00:19:55]: What's harder, the browser or the proxy? I feel like to me, it feels like actually proxying reliably at scale. It's much harder than spending up browsers at scale. I'm curious. It's all hard.Paul [00:20:06]: It's layers of hard, right? Yeah. I think it's different levels of hard. I think the thing with the proxy infrastructure is that we work with many different web proxy providers and some are better than others. Some have good days, some have bad days. And our customers who've built browser infrastructure on their own, they have to go and deal with sketchy actors. Like first they figure out their own browser infrastructure and then they got to go buy a proxy. And it's like you can pay in Bitcoin and it just kind of feels a little sus, right? It's like you're buying drugs when you're trying to get a proxy online. We have like deep relationships with these counterparties. We're able to audit them and say, is this proxy being sourced ethically? Like it's not running on someone's TV somewhere. Is it free range? Yeah. Free range organic proxies, right? Right. We do a level of diligence. We're SOC 2. So we have to understand what is going on here. But then we're able to make sure that like we route around proxy providers not working. There's proxy providers who will just, the proxy will stop working all of a sudden. And then if you don't have redundant proxying on your own browsers, that's hard down for you or you may get some serious impacts there. With us, like we intelligently know, hey, this proxy is not working. Let's go to this one. And you can kind of build a network of multiple providers to really guarantee the best uptime for our customers. Yeah. So you don't own any proxies? We don't own any proxies. You're right. The team has been saying who wants to like take home a little proxy server, but not yet. We're not there yet. You know?swyx [00:21:25]: It's a very mature market. I don't think you should build that yourself. Like you should just be a super customer of them. Yeah. Scraping, I think, is the main use case for that. I guess. Well, that leads us into CAPTCHAs and also off, but let's talk about CAPTCHAs. You had a little spiel that you wanted to talk about CAPTCHA stuff.Challenges of Scaling Browser InfrastructurePaul [00:21:43]: Oh, yeah. I was just, I think a lot of people ask, if you're thinking about proxies, you're thinking about CAPTCHAs too. I think it's the same thing. You can go buy CAPTCHA solvers online, but it's the same buying experience. It's some sketchy website, you have to integrate it. It's not fun to buy these things and you can't really trust that the docs are bad. What Browserbase does is we integrate a bunch of different CAPTCHAs. We do some stuff in-house, but generally we just integrate with a bunch of known vendors and continually monitor and maintain these things and say, is this working or not? Can we route around it or not? These are CAPTCHA solvers. CAPTCHA solvers, yeah. Not CAPTCHA providers, CAPTCHA solvers. Yeah, sorry. CAPTCHA solvers. We really try and make sure all of that works for you. I think as a dev, if I'm buying infrastructure, I want it all to work all the time and it's important for us to provide that experience by making sure everything does work and monitoring it on our own. Yeah. Right now, the world of CAPTCHAs is tricky. I think AI agents in particular are very much ahead of the internet infrastructure. CAPTCHAs are designed to block all types of bots, but there are now good bots and bad bots. I think in the future, CAPTCHAs will be able to identify who a good bot is, hopefully via some sort of KYC. For us, we've been very lucky. We have very little to no known abuse of Browserbase because we really look into who we work with. And for certain types of CAPTCHA solving, we only allow them on certain types of plans because we want to make sure that we can know what people are doing, what their use cases are. And that's really allowed us to try and be an arbiter of good bots, which is our long term goal. I want to build great relationships with people like Cloudflare so we can agree, hey, here are these acceptable bots. We'll identify them for you and make sure we flag when they come to your website. This is a good bot, you know?Alessio [00:23:23]: I see. And Cloudflare said they want to do more of this. So they're going to set by default, if they think you're an AI bot, they're going to reject. I'm curious if you think this is something that is going to be at the browser level or I mean, the DNS level with Cloudflare seems more where it should belong. But I'm curious how you think about it.Paul [00:23:40]: I think the web's going to change. You know, I think that the Internet as we have it right now is going to change. And we all need to just accept that the cat is out of the bag. And instead of kind of like wishing the Internet was like it was in the 2000s, we can have free content line that wouldn't be scraped. It's just it's not going to happen. And instead, we should think about like, one, how can we change? How can we change the models of, you know, information being published online so people can adequately commercialize it? But two, how do we rebuild applications that expect that AI agents are going to log in on their behalf? Those are the things that are going to allow us to kind of like identify good and bad bots. And I think the team at Clerk has been doing a really good job with this on the authentication side. I actually think that auth is the biggest thing that will prevent agents from accessing stuff, not captchas. And I think there will be agent auth in the future. I don't know if it's going to happen from an individual company, but actually authentication providers that have a, you know, hidden login as agent feature, which will then you put in your email, you'll get a push notification, say like, hey, your browser-based agent wants to log into your Airbnb. You can approve that and then the agent can proceed. That really circumvents the need for captchas or logging in as you and sharing your password. I think agent auth is going to be one way we identify good bots going forward. And I think a lot of this captcha solving stuff is really short-term problems as the internet kind of reorients itself around how it's going to work with agents browsing the web, just like people do. Yeah.Managing Distributed Browser Locations and Proxiesswyx [00:24:59]: Stitch recently was on Hacker News for talking about agent experience, AX, which is a thing that Netlify is also trying to clone and coin and talk about. And we've talked about this on our previous episodes before in a sense that I actually think that's like maybe the only part of the tech stack that needs to be kind of reinvented for agents. Everything else can stay the same, CLIs, APIs, whatever. But auth, yeah, we need agent auth. And it's mostly like short-lived, like it should not, it should be a distinct, identity from the human, but paired. I almost think like in the same way that every social network should have your main profile and then your alt accounts or your Finsta, it's almost like, you know, every, every human token should be paired with the agent token and the agent token can go and do stuff on behalf of the human token, but not be presumed to be the human. Yeah.Paul [00:25:48]: It's like, it's, it's actually very similar to OAuth is what I'm thinking. And, you know, Thread from Stitch is an investor, Colin from Clerk, Octaventures, all investors in browser-based because like, I hope they solve this because they'll make browser-based submission more possible. So we don't have to overcome all these hurdles, but I think it will be an OAuth-like flow where an agent will ask to log in as you, you'll approve the scopes. Like it can book an apartment on Airbnb, but it can't like message anybody. And then, you know, the agent will have some sort of like role-based access control within an application. Yeah. I'm excited for that.swyx [00:26:16]: The tricky part is just, there's one, one layer of delegation here, which is like, you're authoring my user's user or something like that. I don't know if that's tricky or not. Does that make sense? Yeah.Paul [00:26:25]: You know, actually at Twilio, I worked on the login identity and access. Management teams, right? So like I built Twilio's login page.swyx [00:26:31]: You were an intern on that team and then you became the lead in two years? Yeah.Paul [00:26:34]: Yeah. I started as an intern in 2016 and then I was the tech lead of that team. How? That's not normal. I didn't have a life. He's not normal. Look at this guy. I didn't have a girlfriend. I just loved my job. I don't know. I applied to 500 internships for my first job and I got rejected from every single one of them except for Twilio and then eventually Amazon. And they took a shot on me and like, I was getting paid money to write code, which was my dream. Yeah. Yeah. I'm very lucky that like this coding thing worked out because I was going to be doing it regardless. And yeah, I was able to kind of spend a lot of time on a team that was growing at a company that was growing. So it informed a lot of this stuff here. I think these are problems that have been solved with like the SAML protocol with SSO. I think it's a really interesting stuff with like WebAuthn, like these different types of authentication, like schemes that you can use to authenticate people. The tooling is all there. It just needs to be tweaked a little bit to work for agents. And I think the fact that there are companies that are already. Providing authentication as a service really sets it up. Well, the thing that's hard is like reinventing the internet for agents. We don't want to rebuild the internet. That's an impossible task. And I think people often say like, well, we'll have this second layer of APIs built for agents. I'm like, we will for the top use cases, but instead of we can just tweak the internet as is, which is on the authentication side, I think we're going to be the dumb ones going forward. Unfortunately, I think AI is going to be able to do a lot of the tasks that we do online, which means that it will be able to go to websites, click buttons on our behalf and log in on our behalf too. So with this kind of like web agent future happening, I think with some small structural changes, like you said, it feels like it could all slot in really nicely with the existing internet.Handling CAPTCHAs and Agent Authenticationswyx [00:28:08]: There's one more thing, which is the, your live view iframe, which lets you take, take control. Yeah. Obviously very key for operator now, but like, was, is there anything interesting technically there or that the people like, well, people always want this.Paul [00:28:21]: It was really hard to build, you know, like, so, okay. Headless browsers, you don't see them, right. They're running. They're running in a cloud somewhere. You can't like look at them. And I just want to really make, it's a weird name. I wish we came up with a better name for this thing, but you can't see them. Right. But customers don't trust AI agents, right. At least the first pass. So what we do with our live view is that, you know, when you use browser base, you can actually embed a live view of the browser running in the cloud for your customer to see it working. And that's what the first reason is the build trust, like, okay, so I have this script. That's going to go automate a website. I can embed it into my web application via an iframe and my customer can watch. I think. And then we added two way communication. So now not only can you watch the browser kind of being operated by AI, if you want to pause and actually click around type within this iframe that's controlling a browser, that's also possible. And this is all thanks to some of the lower level protocol, which is called the Chrome DevTools protocol. It has a API called start screencast, and you can also send mouse clicks and button clicks to a remote browser. And this is all embeddable within iframes. You have a browser within a browser, yo. And then you simulate the screen, the click on the other side. Exactly. And this is really nice often for, like, let's say, a capture that can't be solved. You saw this with Operator, you know, Operator actually uses a different approach. They use VNC. So, you know, you're able to see, like, you're seeing the whole window here. What we're doing is something a little lower level with the Chrome DevTools protocol. It's just PNGs being streamed over the wire. But the same thing is true, right? Like, hey, I'm running a window. Pause. Can you do something in this window? Human. Okay, great. Resume. Like sometimes 2FA tokens. Like if you get that text message, you might need a person to type that in. Web agents need human-in-the-loop type workflows still. You still need a person to interact with the browser. And building a UI to proxy that is kind of hard. You may as well just show them the whole browser and say, hey, can you finish this up for me? And then let the AI proceed on afterwards. Is there a future where I stream my current desktop to browser base? I don't think so. I think we're very much cloud infrastructure. Yeah. You know, but I think a lot of the stuff we're doing, we do want to, like, build tools. Like, you know, we'll talk about the stage and, you know, web agent framework in a second. But, like, there's a case where a lot of people are going desktop first for, you know, consumer use. And I think cloud is doing a lot of this, where I expect to see, you know, MCPs really oriented around the cloud desktop app for a reason, right? Like, I think a lot of these tools are going to run on your computer because it makes... I think it's breaking out. People are putting it on a server. Oh, really? Okay. Well, sweet. We'll see. We'll see that. I was surprised, though, wasn't I? I think that the browser company, too, with Dia Browser, it runs on your machine. You know, it's going to be...swyx [00:30:50]: What is it?Paul [00:30:51]: So, Dia Browser, as far as I understand... I used to use Arc. Yeah. I haven't used Arc. But I'm a big fan of the browser company. I think they're doing a lot of cool stuff in consumer. As far as I understand, it's a browser where you have a sidebar where you can, like, chat with it and it can control the local browser on your machine. So, if you imagine, like, what a consumer web agent is, which it lives alongside your browser, I think Google Chrome has Project Marina, I think. I almost call it Project Marinara for some reason. I don't know why. It's...swyx [00:31:17]: No, I think it's someone really likes the Waterworld. Oh, I see. The classic Kevin Costner. Yeah.Paul [00:31:22]: Okay. Project Marinara is a similar thing to the Dia Browser, in my mind, as far as I understand it. You have a browser that has an AI interface that will take over your mouse and keyboard and control the browser for you. Great for consumer use cases. But if you're building applications that rely on a browser and it's more part of a greater, like, AI app experience, you probably need something that's more like infrastructure, not a consumer app.swyx [00:31:44]: Just because I have explored a little bit in this area, do people want branching? So, I have the state. Of whatever my browser's in. And then I want, like, 100 clones of this state. Do people do that? Or...Paul [00:31:56]: People don't do it currently. Yeah. But it's definitely something we're thinking about. I think the idea of forking a browser is really cool. Technically, kind of hard. We're starting to see this in code execution, where people are, like, forking some, like, code execution, like, processes or forking some tool calls or branching tool calls. Haven't seen it at the browser level yet. But it makes sense. Like, if an AI agent is, like, using a website and it's not sure what path it wants to take to crawl this website. To find the information it's looking for. It would make sense for it to explore both paths in parallel. And that'd be a very, like... A road not taken. Yeah. And hopefully find the right answer. And then say, okay, this was actually the right one. And memorize that. And go there in the future. On the roadmap. For sure. Don't make my roadmap, please. You know?Alessio [00:32:37]: How do you actually do that? Yeah. How do you fork? I feel like the browser is so stateful for so many things.swyx [00:32:42]: Serialize the state. Restore the state. I don't know.Paul [00:32:44]: So, it's one of the reasons why we haven't done it yet. It's hard. You know? Like, to truly fork, it's actually quite difficult. The naive way is to open the same page in a new tab and then, like, hope that it's at the same thing. But if you have a form halfway filled, you may have to, like, take the whole, you know, container. Pause it. All the memory. Duplicate it. Restart it from there. It could be very slow. So, we haven't found a thing. Like, the easy thing to fork is just, like, copy the page object. You know? But I think there needs to be something a little bit more robust there. Yeah.swyx [00:33:12]: So, MorphLabs has this infinite branch thing. Like, wrote a custom fork of Linux or something that let them save the system state and clone it. MorphLabs, hit me up. I'll be a customer. Yeah. That's the only. I think that's the only way to do it. Yeah. Like, unless Chrome has some special API for you. Yeah.Paul [00:33:29]: There's probably something we'll reverse engineer one day. I don't know. Yeah.Alessio [00:33:32]: Let's talk about StageHand, the AI web browsing framework. You have three core components, Observe, Extract, and Act. Pretty clean landing page. What was the idea behind making a framework? Yeah.Stagehand: AI web browsing frameworkPaul [00:33:43]: So, there's three frameworks that are very popular or already exist, right? Puppeteer, Playwright, Selenium. Those are for building hard-coded scripts to control websites. And as soon as I started to play with LLMs plus browsing, I caught myself, you know, code-genning Playwright code to control a website. I would, like, take the DOM. I'd pass it to an LLM. I'd say, can you generate the Playwright code to click the appropriate button here? And it would do that. And I was like, this really should be part of the frameworks themselves. And I became really obsessed with SDKs that take natural language as part of, like, the API input. And that's what StageHand is. StageHand exposes three APIs, and it's a super set of Playwright. So, if you go to a page, you may want to take an action, click on the button, fill in the form, etc. That's what the act command is for. You may want to extract some data. This one takes a natural language, like, extract the winner of the Super Bowl from this page. You can give it a Zod schema, so it returns a structured output. And then maybe you're building an API. You can do an agent loop, and you want to kind of see what actions are possible on this page before taking one. You can do observe. So, you can observe the actions on the page, and it will generate a list of actions. You can guide it, like, give me actions on this page related to buying an item. And you can, like, buy it now, add to cart, view shipping options, and pass that to an LLM, an agent loop, to say, what's the appropriate action given this high-level goal? So, StageHand isn't a web agent. It's a framework for building web agents. And we think that agent loops are actually pretty close to the application layer because every application probably has different goals or different ways it wants to take steps. I don't think I've seen a generic. Maybe you guys are the experts here. I haven't seen, like, a really good AI agent framework here. Everyone kind of has their own special sauce, right? I see a lot of developers building their own agent loops, and they're using tools. And I view StageHand as the browser tool. So, we expose act, extract, observe. Your agent can call these tools. And from that, you don't have to worry about it. You don't have to worry about generating playwright code performantly. You don't have to worry about running it. You can kind of just integrate these three tool calls into your agent loop and reliably automate the web.swyx [00:35:48]: A special shout-out to Anirudh, who I met at your dinner, who I think listens to the pod. Yeah. Hey, Anirudh.Paul [00:35:54]: Anirudh's a man. He's a StageHand guy.swyx [00:35:56]: I mean, the interesting thing about each of these APIs is they're kind of each startup. Like, specifically extract, you know, Firecrawler is extract. There's, like, Expand AI. There's a whole bunch of, like, extract companies. They just focus on extract. I'm curious. Like, I feel like you guys are going to collide at some point. Like, right now, it's friendly. Everyone's in a blue ocean. At some point, it's going to be valuable enough that there's some turf battle here. I don't think you have a dog in a fight. I think you can mock extract to use an external service if they're better at it than you. But it's just an observation that, like, in the same way that I see each option, each checkbox in the side of custom GBTs becoming a startup or each box in the Karpathy chart being a startup. Like, this is also becoming a thing. Yeah.Paul [00:36:41]: I mean, like, so the way StageHand works is that it's MIT-licensed, completely open source. You bring your own API key to your LLM of choice. You could choose your LLM. We don't make any money off of the extract or really. We only really make money if you choose to run it with our browser. You don't have to. You can actually use your own browser, a local browser. You know, StageHand is completely open source for that reason. And, yeah, like, I think if you're building really complex web scraping workflows, I don't know if StageHand is the tool for you. I think it's really more if you're building an AI agent that needs a few general tools or if it's doing a lot of, like, web automation-intensive work. But if you're building a scraping company, StageHand is not your thing. You probably want something that's going to, like, get HTML content, you know, convert that to Markdown, query it. That's not what StageHand does. StageHand is more about reliability. I think we focus a lot on reliability and less so on cost optimization and speed at this point.swyx [00:37:33]: I actually feel like StageHand, so the way that StageHand works, it's like, you know, page.act, click on the quick start. Yeah. It's kind of the integration test for the code that you would have to write anyway, like the Puppeteer code that you have to write anyway. And when the page structure changes, because it always does, then this is still the test. This is still the test that I would have to write. Yeah. So it's kind of like a testing framework that doesn't need implementation detail.Paul [00:37:56]: Well, yeah. I mean, Puppeteer, Playwright, and Slenderman were all designed as testing frameworks, right? Yeah. And now people are, like, hacking them together to automate the web. I would say, and, like, maybe this is, like, me being too specific. But, like, when I write tests, if the page structure changes. Without me knowing, I want that test to fail. So I don't know if, like, AI, like, regenerating that. Like, people are using StageHand for testing. But it's more for, like, usability testing, not, like, testing of, like, does the front end, like, has it changed or not. Okay. But generally where we've seen people, like, really, like, take off is, like, if they're using, you know, something. If they want to build a feature in their application that's kind of like Operator or Deep Research, they're using StageHand to kind of power that tool calling in their own agent loop. Okay. Cool.swyx [00:38:37]: So let's go into Operator, the first big agent launch of the year from OpenAI. Seems like they have a whole bunch scheduled. You were on break and your phone blew up. What's your just general view of computer use agents is what they're calling it. The overall category before we go into Open Operator, just the overall promise of Operator. I will observe that I tried it once. It was okay. And I never tried it again.OpenAI's Operator and computer use agentsPaul [00:38:58]: That tracks with my experience, too. Like, I'm a huge fan of the OpenAI team. Like, I think that I do not view Operator as the company. I'm not a company killer for browser base at all. I think it actually shows people what's possible. I think, like, computer use models make a lot of sense. And I'm actually most excited about computer use models is, like, their ability to, like, really take screenshots and reasoning and output steps. I think that using mouse click or mouse coordinates, I've seen that proved to be less reliable than I would like. And I just wonder if that's the right form factor. What we've done with our framework is anchor it to the DOM itself, anchor it to the actual item. So, like, if it's clicking on something, it's clicking on that thing, you know? Like, it's more accurate. No matter where it is. Yeah, exactly. Because it really ties in nicely. And it can handle, like, the whole viewport in one go, whereas, like, Operator can only handle what it sees. Can you hover? Is hovering a thing that you can do? I don't know if we expose it as a tool directly, but I'm sure there's, like, an API for hovering. Like, move mouse to this position. Yeah, yeah, yeah. I think you can trigger hover, like, via, like, the JavaScript on the DOM itself. But, no, I think, like, when we saw computer use, everyone's eyes lit up because they realized, like, wow, like, AI is going to actually automate work for people. And I think seeing that kind of happen from both of the labs, and I'm sure we're going to see more labs launch computer use models, I'm excited to see all the stuff that people build with it. I think that I'd love to see computer use power, like, controlling a browser on browser base. And I think, like, Open Operator, which was, like, our open source version of OpenAI's Operator, was our first take on, like, how can we integrate these models into browser base? And we handle the infrastructure and let the labs do the models. I don't have a sense that Operator will be released as an API. I don't know. Maybe it will. I'm curious to see how well that works because I think it's going to be really hard for a company like OpenAI to do things like support CAPTCHA solving or, like, have proxies. Like, I think it's hard for them structurally. Imagine this New York Times headline, OpenAI CAPTCHA solving. Like, that would be a pretty bad headline, this New York Times headline. Browser base solves CAPTCHAs. No one cares. No one cares. And, like, our investors are bored. Like, we're all okay with this, you know? We're building this company knowing that the CAPTCHA solving is short-lived until we figure out how to authenticate good bots. I think it's really hard for a company like OpenAI, who has this brand that's so, so good, to balance with, like, the icky parts of web automation, which it can be kind of complex to solve. I'm sure OpenAI knows who to call whenever they need you. Yeah, right. I'm sure they'll have a great partnership.Alessio [00:41:23]: And is Open Operator just, like, a marketing thing for you? Like, how do you think about resource allocation? So, you can spin this up very quickly. And now there's all this, like, open deep research, just open all these things that people are building. We started it, you know. You're the original Open. We're the original Open operator, you know? Is it just, hey, look, this is a demo, but, like, we'll help you build out an actual product for yourself? Like, are you interested in going more of a product route? That's kind of the OpenAI way, right? They started as a model provider and then…Paul [00:41:53]: Yeah, we're not interested in going the product route yet. I view Open Operator as a model provider. It's a reference project, you know? Let's show people how to build these things using the infrastructure and models that are out there. And that's what it is. It's, like, Open Operator is very simple. It's an agent loop. It says, like, take a high-level goal, break it down into steps, use tool calling to accomplish those steps. It takes screenshots and feeds those screenshots into an LLM with the step to generate the right action. It uses stagehand under the hood to actually execute this action. It doesn't use a computer use model. And it, like, has a nice interface using the live view that we talked about, the iframe, to embed that into an application. So I felt like people on launch day wanted to figure out how to build their own version of this. And we turned that around really quickly to show them. And I hope we do that with other things like deep research. We don't have a deep research launch yet. I think David from AOMNI actually has an amazing open deep research that he launched. It has, like, 10K GitHub stars now. So he's crushing that. But I think if people want to build these features natively into their application, they need good reference projects. And I think Open Operator is a good example of that.swyx [00:42:52]: I don't know. Actually, I'm actually pretty bullish on API-driven operator. Because that's the only way that you can sort of, like, once it's reliable enough, obviously. And now we're nowhere near. But, like, give it five years. It'll happen, you know. And then you can sort of spin this up and browsers are working in the background and you don't necessarily have to know. And it just is booking restaurants for you, whatever. I can definitely see that future happening. I had this on the landing page here. This might be a slightly out of order. But, you know, you have, like, sort of three use cases for browser base. Open Operator. Or this is the operator sort of use case. It's kind of like the workflow automation use case. And it completes with UiPath in the sort of RPA category. Would you agree with that? Yeah, I would agree with that. And then there's Agents we talked about already. And web scraping, which I imagine would be the bulk of your workload right now, right?Paul [00:43:40]: No, not at all. I'd say actually, like, the majority is browser automation. We're kind of expensive for web scraping. Like, I think that if you're building a web scraping product, if you need to do occasional web scraping or you have to do web scraping that works every single time, you want to use browser automation. Yeah. You want to use browser-based. But if you're building web scraping workflows, what you should do is have a waterfall. You should have the first request is a curl to the website. See if you can get it without even using a browser. And then the second request may be, like, a scraping-specific API. There's, like, a thousand scraping APIs out there that you can use to try and get data. Scraping B. Scraping B is a great example, right? Yeah. And then, like, if those two don't work, bring out the heavy hitter. Like, browser-based will 100% work, right? It will load the page in a real browser, hydrate it. I see.swyx [00:44:21]: Because a lot of people don't render to JS.swyx [00:44:25]: Yeah, exactly.Paul [00:44:26]: So, I mean, the three big use cases, right? Like, you know, automation, web data collection, and then, you know, if you're building anything agentic that needs, like, a browser tool, you want to use browser-based.Alessio [00:44:35]: Is there any use case that, like, you were super surprised by that people might not even think about? Oh, yeah. Or is it, yeah, anything that you can share? The long tail is crazy. Yeah.Surprising use cases of BrowserbasePaul [00:44:44]: One of the case studies on our website that I think is the most interesting is this company called Benny. So, the way that it works is if you're on food stamps in the United States, you can actually get rebates if you buy certain things. Yeah. You buy some vegetables. You submit your receipt to the government. They'll give you a little rebate back. Say, hey, thanks for buying vegetables. It's good for you. That process of submitting that receipt is very painful. And the way Benny works is you use their app to take a photo of your receipt, and then Benny will go submit that receipt for you and then deposit the money into your account. That's actually using no AI at all. It's all, like, hard-coded scripts. They maintain the scripts. They've been doing a great job. And they build this amazing consumer app. But it's an example of, like, all these, like, tedious workflows that people have to do to kind of go about their business. And they're doing it for the sake of their day-to-day lives. And I had never known about, like, food stamp rebates or the complex forms you have to do to fill them. But the world is powered by millions and millions of tedious forms, visas. You know, Emirate Lighthouse is a customer, right? You know, they do the O1 visa. Millions and millions of forms are taking away humans' time. And I hope that Browserbase can help power software that automates away the web forms that we don't need anymore. Yeah.swyx [00:45:49]: I mean, I'm very supportive of that. I mean, forms. I do think, like, government itself is a big part of it. I think the government itself should embrace AI more to do more sort of human-friendly form filling. Mm-hmm. But I'm not optimistic. I'm not holding my breath. Yeah. We'll see. Okay. I think I'm about to zoom out. I have a little brief thing on computer use, and then we can talk about founder stuff, which is, I tend to think of developer tooling markets in impossible triangles, where everyone starts in a niche, and then they start to branch out. So I already hinted at a little bit of this, right? We mentioned more. We mentioned E2B. We mentioned Firecrawl. And then there's Browserbase. So there's, like, all this stuff of, like, have serverless virtual computer that you give to an agent and let them do stuff with it. And there's various ways of connecting it to the internet. You can just connect to a search API, like SERP API, whatever other, like, EXA is another one. That's what you're searching. You can also have a JSON markdown extractor, which is Firecrawl. Or you can have a virtual browser like Browserbase, or you can have a virtual machine like Morph. And then there's also maybe, like, a virtual sort of code environment, like Code Interpreter. So, like, there's just, like, a bunch of different ways to tackle the problem of give a computer to an agent. And I'm just kind of wondering if you see, like, everyone's just, like, happily coexisting in their respective niches. And as a developer, I just go and pick, like, a shopping basket of one of each. Or do you think that you eventually, people will collide?Future of browser automation and market competitionPaul [00:47:18]: I think that currently it's not a zero-sum market. Like, I think we're talking about... I think we're talking about all of knowledge work that people do that can be automated online. All of these, like, trillions of hours that happen online where people are working. And I think that there's so much software to be built that, like, I tend not to think about how these companies will collide. I just try to solve the problem as best as I can and make this specific piece of infrastructure, which I think is an important primitive, the best I possibly can. And yeah. I think there's players that are actually going to like it. I think there's players that are going to launch, like, over-the-top, you know, platforms, like agent platforms that have all these tools built in, right? Like, who's building the rippling for agent tools that has the search tool, the browser tool, the operating system tool, right? There are some. There are some. There are some, right? And I think in the end, what I have seen as my time as a developer, and I look at all the favorite tools that I have, is that, like, for tools and primitives with sufficient levels of complexity, you need to have a solution that's really bespoke to that primitive, you know? And I am sufficiently convinced that the browser is complex enough to deserve a primitive. Obviously, I have to. I'm the founder of BrowserBase, right? I'm talking my book. But, like, I think maybe I can give you one spicy take against, like, maybe just whole OS running. I think that when I look at computer use when it first came out, I saw that the majority of use cases for computer use were controlling a browser. And do we really need to run an entire operating system just to control a browser? I don't think so. I don't think that's necessary. You know, BrowserBase can run browsers for way cheaper than you can if you're running a full-fledged OS with a GUI, you know, operating system. And I think that's just an advantage of the browser. It is, like, browsers are little OSs, and you can run them very efficiently if you orchestrate it well. And I think that allows us to offer 90% of the, you know, functionality in the platform needed at 10% of the cost of running a full OS. Yeah.Open Operator: Browserbase's Open-Source Alternativeswyx [00:49:16]: I definitely see the logic in that. There's a Mark Andreessen quote. I don't know if you know this one. Where he basically observed that the browser is turning the operating system into a poorly debugged set of device drivers, because most of the apps are moved from the OS to the browser. So you can just run browsers.Paul [00:49:31]: There's a place for OSs, too. Like, I think that there are some applications that only run on Windows operating systems. And Eric from pig.dev in this upcoming YC batch, or last YC batch, like, he's building all run tons of Windows operating systems for you to control with your agent. And like, there's some legacy EHR systems that only run on Internet-controlled systems. Yeah.Paul [00:49:54]: I think that's it. I think, like, there are use cases for specific operating systems for specific legacy software. And like, I'm excited to see what he does with that. I just wanted to give a shout out to the pig.dev website.swyx [00:50:06]: The pigs jump when you click on them. Yeah. That's great.Paul [00:50:08]: Eric, he's the former co-founder of banana.dev, too.swyx [00:50:11]: Oh, that Eric. Yeah. That Eric. Okay. Well, he abandoned bananas for pigs. I hope he doesn't start going around with pigs now.Alessio [00:50:18]: Like he was going around with bananas. A little toy pig. Yeah. Yeah. I love that. What else are we missing? I think we covered a lot of, like, the browser-based product history, but. What do you wish people asked you? Yeah.Paul [00:50:29]: I wish people asked me more about, like, what will the future of software look like? Because I think that's really where I've spent a lot of time about why do browser-based. Like, for me, starting a company is like a means of last resort. Like, you shouldn't start a company unless you absolutely have to. And I remain convinced that the future of software is software that you're going to click a button and it's going to do stuff on your behalf. Right now, software. You click a button and it maybe, like, calls it back an API and, like, computes some numbers. It, like, modifies some text, whatever. But the future of software is software using software. So, I may log into my accounting website for my business, click a button, and it's going to go load up my Gmail, search my emails, find the thing, upload the receipt, and then comment it for me. Right? And it may use it using APIs, maybe a browser. I don't know. I think it's a little bit of both. But that's completely different from how we've built software so far. And that's. I think that future of software has different infrastructure requirements. It's going to require different UIs. It's going to require different pieces of infrastructure. I think the browser infrastructure is one piece that fits into that, along with all the other categories you mentioned. So, I think that it's going to require developers to think differently about how they've built software for, you know

TikTok is back on the App Store and the Play Store in the U.S. Elon Musk's DOGE Website Is Already Getting Hacked IRS Acquiring Nvidia Supercomputer Elon's bid for OpenAI is about making the for-profit transition as painful as possible for Altman, Intel has spoken with the Trump administration and TSMC over the past few months about a deal for TSMC to take control of Intel's foundry business Broadcom Joins TSMC In Considering Deals For Parts of Intel Arm to start making server CPUs in-house Thomson Reuters wins the first major US AI copyright ruling against fair use, in a case filed in May 2020 against legal research AI startup Ross Intelligence Perplexity just made AI research crazy cheap—what that means for the industry YouTube Surprise: CEO Says TV Overtakes Mobile as "Primary Device" for Viewing Google Maps now shows the 'Gulf of America' Scarlett Johansson Urges Government to Limit A.I. After Faked Video of Her Opposing Kanye West Goes Viral Google CEO Sees 'Useful' Quantum Computers 5 to 10 Years Away Trump says he has directed US Treasury to stop minting new pennies, citing rising cost Nearly 10 years after Data and Goliath, Bruce Schneier says: Privacy's still screwed Amazon's revamped Alexa might launch over a month after its announcement event Meta's Brain-to-Text AI Host: Leo Laporte Guests: Wesley Faulkner, Iain Thomson, and Brian McCullough Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: shopify.com/twit oracle.com/twit zscaler.com/security ziprecruiter.com/twit joindeleteme.com/twit promo code TWIT

TikTok is back on the App Store and the Play Store in the U.S. Elon Musk's DOGE Website Is Already Getting Hacked IRS Acquiring Nvidia Supercomputer Elon's bid for OpenAI is about making the for-profit transition as painful as possible for Altman, Intel has spoken with the Trump administration and TSMC over the past few months about a deal for TSMC to take control of Intel's foundry business Broadcom Joins TSMC In Considering Deals For Parts of Intel Arm to start making server CPUs in-house Thomson Reuters wins the first major US AI copyright ruling against fair use, in a case filed in May 2020 against legal research AI startup Ross Intelligence Perplexity just made AI research crazy cheap—what that means for the industry YouTube Surprise: CEO Says TV Overtakes Mobile as "Primary Device" for Viewing Google Maps now shows the 'Gulf of America' Scarlett Johansson Urges Government to Limit A.I. After Faked Video of Her Opposing Kanye West Goes Viral Google CEO Sees 'Useful' Quantum Computers 5 to 10 Years Away Trump says he has directed US Treasury to stop minting new pennies, citing rising cost Nearly 10 years after Data and Goliath, Bruce Schneier says: Privacy's still screwed Amazon's revamped Alexa might launch over a month after its announcement event Meta's Brain-to-Text AI Host: Leo Laporte Guests: Wesley Faulkner, Iain Thomson, and Brian McCullough Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: shopify.com/twit oracle.com/twit zscaler.com/security ziprecruiter.com/twit joindeleteme.com/twit promo code TWIT

TikTok is back on the App Store and the Play Store in the U.S. Elon Musk's DOGE Website Is Already Getting Hacked IRS Acquiring Nvidia Supercomputer Elon's bid for OpenAI is about making the for-profit transition as painful as possible for Altman, Intel has spoken with the Trump administration and TSMC over the past few months about a deal for TSMC to take control of Intel's foundry business Broadcom Joins TSMC In Considering Deals For Parts of Intel Arm to start making server CPUs in-house Thomson Reuters wins the first major US AI copyright ruling against fair use, in a case filed in May 2020 against legal research AI startup Ross Intelligence Perplexity just made AI research crazy cheap—what that means for the industry YouTube Surprise: CEO Says TV Overtakes Mobile as "Primary Device" for Viewing Google Maps now shows the 'Gulf of America' Scarlett Johansson Urges Government to Limit A.I. After Faked Video of Her Opposing Kanye West Goes Viral Google CEO Sees 'Useful' Quantum Computers 5 to 10 Years Away Trump says he has directed US Treasury to stop minting new pennies, citing rising cost Nearly 10 years after Data and Goliath, Bruce Schneier says: Privacy's still screwed Amazon's revamped Alexa might launch over a month after its announcement event Meta's Brain-to-Text AI Host: Leo Laporte Guests: Wesley Faulkner, Iain Thomson, and Brian McCullough Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: shopify.com/twit oracle.com/twit zscaler.com/security ziprecruiter.com/twit joindeleteme.com/twit promo code TWIT

TikTok is back on the App Store and the Play Store in the U.S. Elon Musk's DOGE Website Is Already Getting Hacked IRS Acquiring Nvidia Supercomputer Elon's bid for OpenAI is about making the for-profit transition as painful as possible for Altman, Intel has spoken with the Trump administration and TSMC over the past few months about a deal for TSMC to take control of Intel's foundry business Broadcom Joins TSMC In Considering Deals For Parts of Intel Arm to start making server CPUs in-house Thomson Reuters wins the first major US AI copyright ruling against fair use, in a case filed in May 2020 against legal research AI startup Ross Intelligence Perplexity just made AI research crazy cheap—what that means for the industry YouTube Surprise: CEO Says TV Overtakes Mobile as "Primary Device" for Viewing Google Maps now shows the 'Gulf of America' Scarlett Johansson Urges Government to Limit A.I. After Faked Video of Her Opposing Kanye West Goes Viral Google CEO Sees 'Useful' Quantum Computers 5 to 10 Years Away Trump says he has directed US Treasury to stop minting new pennies, citing rising cost Nearly 10 years after Data and Goliath, Bruce Schneier says: Privacy's still screwed Amazon's revamped Alexa might launch over a month after its announcement event Meta's Brain-to-Text AI Host: Leo Laporte Guests: Wesley Faulkner, Iain Thomson, and Brian McCullough Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: shopify.com/twit oracle.com/twit zscaler.com/security ziprecruiter.com/twit joindeleteme.com/twit promo code TWIT

TikTok is back on the App Store and the Play Store in the U.S. Elon Musk's DOGE Website Is Already Getting Hacked IRS Acquiring Nvidia Supercomputer Elon's bid for OpenAI is about making the for-profit transition as painful as possible for Altman, Intel has spoken with the Trump administration and TSMC over the past few months about a deal for TSMC to take control of Intel's foundry business Broadcom Joins TSMC In Considering Deals For Parts of Intel Arm to start making server CPUs in-house Thomson Reuters wins the first major US AI copyright ruling against fair use, in a case filed in May 2020 against legal research AI startup Ross Intelligence Perplexity just made AI research crazy cheap—what that means for the industry YouTube Surprise: CEO Says TV Overtakes Mobile as "Primary Device" for Viewing Google Maps now shows the 'Gulf of America' Scarlett Johansson Urges Government to Limit A.I. After Faked Video of Her Opposing Kanye West Goes Viral Google CEO Sees 'Useful' Quantum Computers 5 to 10 Years Away Trump says he has directed US Treasury to stop minting new pennies, citing rising cost Nearly 10 years after Data and Goliath, Bruce Schneier says: Privacy's still screwed Amazon's revamped Alexa might launch over a month after its announcement event Meta's Brain-to-Text AI Host: Leo Laporte Guests: Wesley Faulkner, Iain Thomson, and Brian McCullough Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: shopify.com/twit oracle.com/twit zscaler.com/security ziprecruiter.com/twit joindeleteme.com/twit promo code TWIT

Reminder: 7-Zip MoW The MoW must be added to any files extracted from ZIP or other compound file formats. 7-Zip does not do so by default unless you alter the default configuration. https://isc.sans.edu/diary/Reminder%3A%207-Zip%20%26%20MoW/31668 Apple Fixes 0-Day Apple released updates to iOS and iPadOS fixing a bypass for USB Restricted Mode. The vulnerability is already being exploited. https://support.apple.com/en-us/122174 AMD ZEN CPU Microcode Update An attacker is able to replace microcode on some AMD CPUs. This may alter how the CPUs function and Google released a PoC showing how it can be used to manipulate the random number generator. https://github.com/google/security-research/security/advisories/GHSA-4xq7-4mgh-gp6w Trimble Cityworks Exploited CISA added a recent Trimble Cityworks vulnerabliity to its list of exploited vulnerabilities. https://learn.assetlifecycle.trimble.com/i/1532182-cityworks-customer-communication-2025-02-06-docx/0? Google Tag Manager Skimmer Steals Credit Card Info Sucuri released a blog post with updates to the mage cart campaign. The latest version is injecting malicious code as part of the google tag manager / analytics code. https://blog.sucuri.net/2025/02/google-tag-manager-skimmer-steals-credit-card-info-from-magento-site.html

Immich provides a consistant photo experience across devices, and across family members. This week Noah and Steve give you a deep dive into Immich. We answer your questions, and give you a brief look at news from this week. -- During The Show -- 00:52 Steve's review process Two different review styles It's like a BBQ Gril 02:30 OpenShift In Labs - Ole Fine for home use Learn how to rebuild the cluster Treat it like an enterprise product OpenShift can be heavy 10:00 Continuing Computerized Car Convo - James Remote car take overs are a problem Auto makers are more aware now Cars are drive by wire now 13:56 Episode 414 - Max Nano is for gentlemen Vim is for ninjas Automation shortcuts on iOS Things can be hit or miss on iOS 18:30 News Wire Gparted Live 1.7.0 - gparted.org (https://gparted.org/news.php?item=257) Binutils 2.44 - lists.gnu.org (https://lists.gnu.org/archive/html/info-gnu/2025-02/msg00001.html) Thunderbird 134.0 - thunderbird.net (https://www.thunderbird.net/en-US/thunderbird/134.0/releasenotes/) Archbank 2701 - sourceforge.net (https://sourceforge.net/projects/archbang/files/ArchBang/archbang-2701-x86_64.iso/) KaOS 2025.01 - kaosx.us (https://kaosx.us/news/2025/kaos01/) Parrot 6.3 - parrotsec.org (https://www.parrotsec.org/blog/2025-01-31-parrot-6.3-release-notes/) Nitrux 3.9 - nxos.org (https://nxos.org/psa/psa-nitrux-3-9-0/) Ai2 Tulu 3 405B LLM - venturebeat.com (https://venturebeat.com/ai/ai2-releases-tulu-3-a-fully-open-source-model-that-bests-deepseek-v3-gpt-4o-with-novel-post-training-approach/) EU Investing 56 Million - bestofai.com (https://bestofai.com/article/the-eu-is-betting-56-million-on-open-source-ai) Small 3 - zdnet.com (https://www.zdnet.com/article/mistral-ai-says-its-small-3-model-is-a-local-open-source-alternative-to-gpt-4o-mini/) Oumi - venturebeat.com (https://venturebeat.com/ai/ex-google-apple-engineers-launch-unconditionally-open-source-oumi-ai-platform-that-could-help-to-build-the-next-deepseek/) 20:18 Immich Review Story behind Immich Why Steve deployed Immich Been in use for 3 months Does what the tin says Min of 2 CPUs and 4GB RAM Can be resource intensive Using containers for everything Critical Path/Knowing how things work Official install is via docker compose env file Documentation is pretty good Impressed by Immich's development and progress Interface is great Great for finding pictures Global hotspot map Tagging Facial and object recognition How Immich puts files on the file system Metadata isn't shared between users De-duplication and stacking Partner Sharing Highlights old photos Feature rich compared to google and apple photos Strong emphasis on privacy Good mobile app No E2EE Wouldn't expose this to the Internet Hasn't overcome muscle memory Developer's don't consider it "production ready" Backing up Exit strategy -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/426) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed)

Dylan Patel is the founder of SemiAnalysis, a research & analysis company specializing in semiconductors, GPUs, CPUs, and AI hardware. Nathan Lambert is a research scientist at the Allen Institute for AI (Ai2) and the author of a blog on AI called Interconnects. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep459-sc See below for timestamps, and to give feedback, submit questions, contact Lex, etc. CONTACT LEX: Feedback - give feedback to Lex: https://lexfridman.com/survey AMA - submit questions, videos or call-in: https://lexfridman.com/ama Hiring - join our team: https://lexfridman.com/hiring Other - other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Dylan's X: https://x.com/dylan522p SemiAnalysis: https://semianalysis.com/ Nathan's X: https://x.com/natolambert Nathan's Blog: https://www.interconnects.ai/ Nathan's Podcast: https://www.interconnects.ai/podcast Nathan's Website: https://www.natolambert.com/ Nathan's YouTube: https://youtube.com/@natolambert Nathan's Book: https://rlhfbook.com/ SPONSORS: To support this podcast, check out our sponsors & get discounts: Invideo AI: AI video generator. Go to https://invideo.io/i/lexpod GitHub: Developer platform and AI code editor. Go to https://gh.io/copilot Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to http://netsuite.com/lex AG1: All-in-one daily nutrition drinks. Go to https://drinkag1.com/lex OUTLINE: (00:00) - Introduction (13:28) - DeepSeek-R1 and DeepSeek-V3 (35:02) - Low cost of training (1:01:19) - DeepSeek compute cluster (1:08:52) - Export controls on GPUs to China (1:19:10) - AGI timeline (1:28:35) - China's manufacturing capacity (1:36:30) - Cold war with China (1:41:00) - TSMC and Taiwan (2:04:38) - Best GPUs for AI (2:19:30) - Why DeepSeek is so cheap (2:32:49) - Espionage (2:41:52) - Censorship (2:54:46) - Andrej Karpathy and magic of RL (3:05:17) - OpenAI o3-mini vs DeepSeek r1 (3:24:25) - NVIDIA (3:28:53) - GPU smuggling (3:35:30) - DeepSeek training on OpenAI data (3:45:59) - AI megaclusters (4:21:21) - Who wins the race to AGI? (4:31:34) - AI agents (4:40:16) - Programming and AI (4:47:43) - Open source (4:56:55) - Stargate (5:04:24) - Future of AI PODCAST LINKS: - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://spoti.fi/2nEwCF8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips

Questions! The time to answer them is here again, and this month we do our best with such topics as the relative scarcity of nuclear energy, nested comment systems, USB thumb drives versus portable SSDs, browser RAM usage, why CPUs get faster from one model to the next, the difficulty of naming operating systems, phones without camera bumps, learning to read an analog clock (and a lot of other things), and when we'll finally get around to reviewing that high-tech toilet.Submit ideas about secret information encoding in the world around us for an upcoming episode: https://forms.gle/VYgL9gLeSBKkNtfy9 Support the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, a monthly bonus episode, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

We discuss Sony x AMD Project Amethyst, RDNA 4, RTX 5000, and next-gen CPUs! [SPON: Use "brokensilicon“ at CDKeyOffer's Christmas Sale to get Win 11 Pro for $23: https://www.cdkeyoffer.com/cko/Moore11 ] [SPON: Save BIG on the MinisForum BD795i & BD790i SE Motherboards: https://shrsl.com/4sgrf ] ***RECORDED 12/20/2024*** 0:00 PS5 Pro Sales Update, Sony buying 10% of Kadokawa 10:08 Project Amethyst for PS6 & RADEON 15:45 DRAM Companies are starting to bet on AMD over Intel 18:25 Intel terminates x86S 19:49 What we're looking forward to in 2025 23:47 Nintendo Switch 2 29:42 PC Handhelds in 2025, ChromeOS vs Windows 33:32 What will happen to XBOX & Game Pass in 2025? 35:24 Nvidia entering Laptop CPU 40:38 RTX 5000 Series 46:06 AMD RDNA 4 54:45 DLSS vs FSR in 2025 58:15 AMD Krackan, R9 9950X3D, R5 9600 1:02:58 AMD Zen 6 1:05:30 Zen 5 Threadripper, ARL mobile, Panther Lake 1:10:54 Bartlett Lake - Should gamers be excited for ADL+++? 1:14:47 Final Thoughts on 2025 https://x.com/CultureCrave/status/1869667605268816256 https://www.techspot.com/news/106024-initial-playstation-5-pro-sales-promising-despite-console.html https://www.tomshardware.com/pc-components/cpus/intel-doesnt-plan-to-bring-3d-v-cache-like-tech-to-consumer-cpus-for-now-next-gen-clearwater-forest-xeon-cpus-will-feature-local-cache-in-the-base-tile-akin-to-amds-3d-v-cache https://www.tomshardware.com/pc-components/cpus/intel-terminates-x86s-initiative-unilateral-quest-to-de-bloat-x86-instruction-set-comes-to-an-end https://videocardz.com/newz/lexar-unveils-ultra-low-latency-ddr5-6000-cl26-expo-memory-ideal-for-9800x3d https://videocardz.com/newz/amd-ryzen-5-9600-non-x-sku-reportedly-launches-late-january https://wccftech.com/nintendo-switch-2-dock-4k-30-fps-only/ https://www.theverge.com/2024/12/18/24324317/amd-playstation-ai-work-better-graphics-project-amethyst https://www.hardwareluxx.de/index.php/news/hardware/grafikkarten/65128-geforce-rtx-50-serie-inno3d-spricht-von-neural-rendering-f%C3%A4higkeiten.html https://wccftech.com/amd-krackan-point-8-core-cpu-benchmarked-on-passmark/

Dawid joins to discuss the highlights (and lowlights) of 2024, and what we're excited for in 2025. [SPON: Use "brokensilicon“ at CDKeyOffer's Christmas Sale to get Win 11 Pro for $23: https://www.cdkeyoffer.com/cko/Moore11 ] [SPON: Check out the MinisForum EliteMini AI370 powered by Zen 5 Strix: https://shareasale.com/r.cfm?b=1620564&u=3766867&m=101288&urllink=store%2Eminisforum%2Ecom%2Fproducts%2Felitemini%2Dai370%3Fgad%5Fsource%3D1%26gclid%3DCjwKCAiAmfq6BhAsEiwAX1jsZ0HqY2876HbsMw9zx%2DymLrGg0Tyw1%2D2hgF6vDC7ny976hTHVh4HPMBoCRpAQAvD%5FBwE&afftrack= ] ***RECORDED 12/15/2024*** 0:00 RTX 4010, 3070M, Vertical Gaming Mice (Intro) 11:05 Was Nvidia SUPER a success? What is a “midrange” GPU? 23.39 Was PlayStation 5 Pro a success? 33:51 Should the PS Handheld be a mini PS6 or PS5? 42:09 Nintendo Switch 2 47:29 Nvidia RTX 5060 8/12GB, AMD Zen 6 Medusa 54:44 Nvidia making CPUs! 1:02:01 Our Favorite Lovelace & RDNA 3 GPUs 1:07:32 AMD RDNA 4 vs RTX 5000 1:11:35 Thoughts on Intel's Situation 1:16:41 AMD Zen 5 - From Rags to Riches 1:22:09 Best Products of 2024 1:24:22 Valve's upcoming Steam Machine Consoles 1:39:53 Why we're optimistic for 2025 Last Time Dawid was on: https://youtu.be/SulVF2k-V9g?si=N0ZSdRDQlY_vsJGr RTX SUPER Pricing Leak: https://youtu.be/27mT_Am9NUo?si=7yCJoq8J-7vEQ6_n RTX 4070 SUPER Sales Analysis: https://youtu.be/Oz7G2RjIjj4?si=rZYUYRp25OTeiS1q BMG Laptop Cancelled Leak: https://youtu.be/hJJJLQZD_vA?si=No8uCjSa5ipEVTo3 PlayStation Handheld Leak: https://youtu.be/A0s0Usfg__g?si=7HCpAHCFEHMUcPCv Switch 2 Leak: https://youtu.be/SibxVnw3LwY?si=bFM79xc5aOW3TGl1 Zen 7 Prometheus: https://youtu.be/cv3k_LP1cr4?si=GAillp1_GUjEwxwS Strix Halo Low-Power Leak: https://youtu.be/5tah4ALPgOk?si=tbWWWxfEw_cXYpZE RTX 5080 / 5090 Laptop Leak: https://youtu.be/I_2I5K5r5jE?si=NTy6TiocF9tTRnVd RTX 5090 24GB Laptop Leak: https://youtu.be/Gy4HAJdjeRA?si=OvrfLnpH8We86vxX Pictures of RTX 5080 Die: https://youtu.be/V_UHVWcfeTg?si=oNdvDLg1Yuk9yQQ7 Blackwell Pricing Leak: https://youtu.be/EbEPwJvtA5M?si=C89U2iaoPVSf0Co5 AMD's ARM Sound Wave APU Leak: https://youtu.be/u19FZQ1ZBYc?si=gjwsH94qvjCkd9WN Third (fourth?!) Zen 5 IPC Leak: https://youtu.be/SeEBPbehttY?si=xadfctMJVhZ7MVrg Zen 5 Pricing Leak: https://youtu.be/ytH3MzK0on8?si=6_4UZMgeqsCzum49 Early Zen 6 Medusa Leak: https://youtu.be/oUv4US_FAjM?si=VcCfA0uFGpnrxU_n Recent Zen 6 Medusa Point Leak: https://youtu.be/h5dDn8nzvAw?si=l5saDjjik0JUXMKr Strix Halo Picture Leak: https://youtu.be/pZjqzQVc-So?si=pVVF84VRBnu1RC2p RPL Ring Bus Flaw: https://youtu.be/ZFE4q35buKs?si=Jv1idvxD9zMRd2cG Dev Interview Regarding RPL Flaws: https://youtu.be/rkVSgix0L38?si=P0YFHUJm0eJhI8un Zen 5 Launch Analysis: https://youtu.be/5Z1-FNBMw0w?si=-D-m_BjycWVwbm5t Arrow Lake Analysis: https://youtu.be/PKUXU1gewco?si=vAHcvgfVZ-afexhn 40-Core Arrow Lake Cancelled: https://youtu.be/yzimFlRJbAM?si=7TpgYJGeJgDYG39D Beast Lake Cancelled: https://youtu.be/yzimFlRJbAM?si=Lt7xi_Wq_l14v9x9 Intel Griffin Cove Leaked: https://youtu.be/G0bDB2AkHvE?si=TEMV8eDbPszB8iWC PS5 Pro Review Podcast: https://youtu.be/JyTRoMXngRk?si=Oz3wS5BW8dh1YAS4

We discuss upcoming RTX 5000 launches, the future of ARC, and Zen 5 / 6 CPUs! [SPON: Check out ALL Microsoft Surfaces: https://micro.center/s5c8 ] [SPON: Santa Clara Location coming SOON: https://micro.center/sdq0 ] [SPON: Shop Racing and Flight Sim Bundles: https://micro.center/rbqy ] [SPON: Shop Micro Center Holiday Savings: https://micro.center/t7iv ] 0:00 Slow News Holiday, New Jersey Drones, Console Laptops (Intro Banter) 3:56 Virtual Link, Intel & CHIPS (Corrections) 10:58 Nvidia RTX 5070 Ti 16GB, Blackwell Pricing 19:29 Pat Gelsinger “Retired” from Intel – Was he to blame? 26:29 Could Intel bounce back in a few years? 31:42 B580 12GB Reviewed & “Launched” 50:45 Intel Celestial, ARC Chiplets, B770 57:47 NEW Arrow Lake firmware offers little to no Performance Gains 1:02:45 AMD Zen 5 Krackan Performance & Specs Leaked 1:08:19 Will Krackan have a Zen 6 successor? 1:11:04 Valve is working on Steam Machines again! 1:14:42 Nintendo Switch 2 Pictured 1:18:09 Strix Latency, Intel Falcon Shores, Qualcomm Returns, GTA 6 (Wrap-up) 1:23:16 8K 144Hz Monitors, The Real Ultra Enthusiasts (Final RM) https://www.techpowerup.com/329873/nvidia-geforce-rtx-5070-ti-leak-tips-more-vram-cores-and-power-draw https://www.reuters.com/business/intel-ceo-pat-gelsinger-retire-2024-12-02/ https://www.techspot.com/review/2935-intel-arc-b580/ https://www.techpowerup.com/review/intel-arc-b580/ https://www.pcworld.com/article/2553897/intel-arc-b580-review.html https://www.youtube.com/watch?v=599O7Q4BfaI&ab_channel=KitGuruTech https://x.com/GPUsAreMagic/status/1867311371848650856 https://youtu.be/1PDiFr0UhtQ?si=PY9qhjNxnKta77GO HWU Tim talking with Intel's Tom Peterson https://www.tomshardware.com/pc-components/cpus/intels-latest-arrow-lake-cpu-firmware-reportedly-offers-little-to-no-performance-gains-users-test-the-microcode-ahead-of-launch-on-the-asrock-z890-taichi-ocf https://www.tomshardware.com/pc-components/cpus/cyberpunk-2077-update-2-2-reportedly-improves-arrow-lake-performance-by-up-to-33-percent-theoretically-matching-the-ryzen-7-7800x3d https://www.pcgamesn.com/intel/cyberpunk-2077-arrow-lake-benchmarks https://videocardz.com/newz/cyberpunk-2077-2-0-patch-to-increase-8-core-cpu-utilization-to-90-mods-for-ryzen-smt-no-longer-needed https://videocardz.com/newz/acer-swift-laptop-to-feature-8-core-ryzen-ai-7-350-amd-krackan-processor-faster-than-ryzen-7-8845hs https://browser.geekbench.com/v6/cpu/9384066 https://www.techspot.com/news/105892-valve-may-ready-revive-steam-machines-project-fremont.html https://x.com/SadlyItsBradley/status/1864960198760100115 https://x.com/SadlyItsBradley/status/1864960200924450934 https://www.techspot.com/news/105849-powered-steamos-valve-linux-gaming-os-prepares-expand.html https://www.theverge.com/2024/12/13/24320477/lenovo-legion-go-s-steamos-handheld-gaming-pc-rumors https://wccftech.com/nintendo-switch-2-joy-con-pictures/ https://www.bilibili.com/video/BV19GzdYSEhe/?spm_id_from=333.999.0.0 https://videocardz.com/newz/nintendo-switch-2-design-revealed-by-case-manufacturers https://x.com/deckwizardyt/status/1868098994963910865 https://wccftech.com/amd-finally-finds-fixes-for-improving-inter-core-latency-on-strix-point-apus/ https://www.techspot.com/news/105914-time-names-amd-boss-lisa-su-ceo-year.html https://time.com/7200909/ceo-of-the-year-2024-lisa-su/ https://www.techpowerup.com/329828/intel-co-ceo-dampens-expectations-for-first-gen-falcon-shores-gpu https://www.techspot.com/news/105962-intel-claims-retailers-facing-high-return-rates-snapdragon.html