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In the first of a two-part roundtable discussion, our Global Head of Research joins our Global Head of Thematic Research and Head of Firmwide AI to discuss how the economic and labor impacts of AI adoption.Read more insights from Morgan Stanley.----- Transcript ----- Kathryn Huberty: Welcome to Thoughts on the Market. I'm Katy Huberty, Morgan Stanley's Global Head of Research, and I'm joined by Stephen Byrd, Global Head of Thematic Research, and Jeff McMillan, Morgan Stanley's Head of Firm-wide AI.Today and tomorrow, we have a special two-part episode on the number one question everyone is asking us: What does the future of work look like as we scale AI?It's Tuesday, November 4th at 10am in New York.I wanted to talk to you both because Stephen, your groundbreaking work provides a foundation for thinking through labor and economic impacts of implementing AI across industries. And Jeff, you're leading Morgan Stanley's efforts to implement AI across our more than 80,000 employee firm, requiring critical change management to unlock the full value of this technology.Let's start big picture and look at this from the industry level. And then tomorrow we'll dig into how AI is changing the nature of work for individuals.Stephen, one of the big questions in the news – and from investors – is the size of AI adoption opportunity in terms of earnings potential for S&P 500 companies and the economy as a whole. What's the headline takeaway from your analysis?Stephen Byrd: Yeah, this is the most popular topic with my children when we talk about the work that I do. And the impacts are so broad. So, let's start with the headline numbers. We did a deep dive into the S&P 500 in terms of AI adoption benefits. The net benefits based on where the technology is now, would be about little over $900 billion. And that can translate to well over 20 percent increased earnings power that could generate over $13 trillion of market cap upon adoption. And importantly, that's where the technology is now.So, what's so interesting to me is the technology is evolving very, very quickly. We've been writing a lot about the nonlinear rate of improvement of AI. And what's especially exciting right now is a number of the big American labs, the well-known companies developing these LLMs, are now gathering about 10 times the computational power to train their next model. If scaling laws hold that would result in models that are about twice as capable as they are today. So, I think 2026 is going to be a big year in terms of thinking about where we're headed in terms of adoption. So, it's frankly challenging to basically take a snapshot because the picture is moving so quickly.Kathryn Huberty: Stephen, you referenced just the fast pace of change and the daily news flow. What's the view of the timeline here? Are we measuring progress at the industry level in months, in years?Stephen Byrd: It's definitely in years. It's fast and slow. Slow in the sense that, you know, it's taken some companies a little while now and some over a year to really prepare. But now what we're seeing in our CIO survey is many companies are now moving into the first, I'd say, full fledged adoption of AI, when you can start to really see this in numbers.So, it sort of starts with a trickle, but then in 2026, it really turns into something much, much bigger. And then I go back to this point about non-linear improvement. So, what looks like, areas where AI cannot perform a task six months from now will look very different. And I think – I'm a former lawyer myself. In the field of law, for example, this has changed so quickly as to what AI can actually do. So, what I expect is it starts slow and then suddenly we look at a wide variety of tasks and AI is fairly suddenly able to do a lot more than we expect.Kathryn Huberty: Which industries are likely to be most impacted by the shift? And when you broke down the analysis to the industry and job level, what were some of the surprises?Stephen Byrd: I thought what we would see would be fairly high-tech oriented sectors – and including our own – would be top of the list. What I found was very different. So, think instead of sectors where there's fairly low profit per employee, often low margin businesses, very labor-intensive businesses. A number of areas in healthcare staples came to the top. A few real estate management businesses. So, very different than I expected.The very high-tech sectors actually had some of the lowest numbers, simply because those companies in high-tech tend to have extremely high profit per employee. So, the impact is a lot less. So that was surprising learning. A lot of clients have been digging into that.Kathryn Huberty: I could see why that would've surprised you. But let's focus on banking for a moment since we have the expert here. Jeff, what are some of the most exciting AI use cases in banking right now?Jeff McMillan: You know, I would start with software development, which was probably the first Gen AI use case out of the gate. And not only was it first, but it continues to be the most rapidly advancing. And that's probably; mostly a function of the software, you know, development community. I mean, these are developers that are constantly fiddling and making the technology better.But productivity continues to advance at a linear pace. You know, we have over 20,000 folks here at Morgan Stanley. That's 25 percent of our population. And, you know, the impact both in terms of the size of that population and the efficiencies are really, really significant.So, I would start there. And then, you know, once you start moving past that, it may not seem, you know, sexy. It's really powerful around things like document processing. Financial services firms move massive amounts of paper. We take paper in, whether it be an account opening, whether it be a contract. Somebody reads that information, they reason about it, and then they type that information into a system. AI is really purpose built for that.And then finally, just document generation. I mean, the number of presentations, portfolio reviews, you know, even in your world, Katy, research reports that we create. Once again, AI is really just – it's right down the middle in terms of its ability to generate just content and help people reduce the time and effort to do that.Kathryn Huberty: There's a lot of excitement around AI, but as Stephen mentioned, it's not a linear path. What are the biggest challenges, Jeff, to AI adoption for a big global enterprise like Morgan Stanley? What keeps you up at night?Jeff McMillan: I've often made the analogy that we own a Ferrari and we're driving around circles in a parking lot. And what I mean by that is that the technology has so far advanced beyond our own capacity to leverage it. And the biggest issue is – it's our own capacity and awareness and education.So, what keeps me up at night? it's the firm's understanding. It's each person's and each leader's ability to understand what this technology can do. Candidly, it's the basics of prompting. We spend a lot of time here at the firm just teaching people how to prompt, understanding how to speak to the machine because until you know how to do that, you don't really understand the art of the possible. I tell people, if you have $100 to spend, you should start spending [$]90, on educating your employee base. Because until you do that, you cannot effectively get the best out of the technology.Kathryn Huberty: And as we look out to 2026, what AI trends are you watching closely and how are we preparing the firm to take advantage of that?Jeff McMillan: You and I were just out in Silicon Valley a couple of weeks ago, and seemingly overnight, every firm has become an agentic one. While much of that is aspirational, I think it's actually going to be, in the long term, a true narrative, right? And I think that step where we are right now is really about experimentation, right? I think we have to learn which tools work, what new governance processes we need to put in place, where the lines are drawn. I think we're still in the early stage, but we're leaning in really hard.We've got about 20 use cases that we're experimenting with right now. As things settle down and the vendor landscape really starts to pan out, we'll be down position to fully take advantage of that.Kathryn Huberty: A key element of the agentic solutions is linking to the data, the tools, the application that we use every day in our workflow. And that ecosystem is developing, and it feels that we're now on the cusp of those agentic workflow applications taking hold.Stephen Byrd: So, Katy, I want to jump in here and ask you a question too. With your own background as an IT hardware analyst, how does the AI era compare to past tech or computing cycles? And what sort of lessons from those cycles shape your view of the opportunities and challenges ahead?Kathryn Huberty: The other big question in the market right now is whether an AI bubble is forming. You hear that in the press. It's one of the questions all three of us are hearing regularly from clients. And implicit in that question is a view that this doesn't look like past cycles, past trends. And I just don't believe that to be the case.We actually see the development of AI following a very similar path. If you go back to mainframe and then minicomputer, the PC, internet, mobile, cloud, and now AI. Each compute cycle is roughly 10 times larger in terms of the amount of installed compute.The reality is we've gone from millions to billions to trillions, and so it feels very different. But the reality is we have a trillion dollars of installed CPU compute, and that means we likely need $10 trillion of installed GPU compute. And so, we are following the same pattern. Yes, the numbers are bigger because we keep 10x-ing, but the pattern is the same. And so again, that tells us we're in the early innings. You know, we're still at the point of the semiconductor technology shipping out into infrastructure. The applications will come.The other pattern from past cycles is that exponential growth is really difficult for humans to model. So, I think back to the early days when Morgan Stanley's technology team was really bullish, laying the groundwork for the PC era, the internet era, the mobile era. When we go back and look at our forecasts, we always underestimated the potential. And so that would suggest that what we've seen with the upward earnings revisions for the AI enablers and soon the AI adopters is likely to continue.And so, I see many patterns, you know, that are thread across computing cycles, and I would just encourage investors to realize that AI so far is following similar patterns.Jeff McMillan: Katy, you make the point that much of the playbook is the same. But is there anything fundamentally different about the AI cycle that investors should be thinking about?Kathryn Huberty: The breadth of impact to industries and corporates, which speaks to Stephen's work. We have now four times over mapped the 3,700 companies globally that Morgan Stanley research covers to understand their role in this theme.Are they enabling AI? Are they adopting? Are they disrupted by it? How important is it to the thesis? Do they have pricing power? It's very valuable data to go and capture the alpha. But I was looking at that dataset recently and a third of those nearly 4,000 companies we cover, our analysts are saying that AI has an impact on the investment thesis. A third. And yet we're still in the early innings. And so, what may be different, and make the impact much bigger and broader is just the sheer number of corporations that will be impacted by the theme.Let's pause here and pick up tomorrow with more on workforce transformation and the impact on individual workers.Thank you to our listeners. Please join us tomorrow for part two of our conversation. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

For many years, real-time control software, whether running on a dedicated controller or an industrial PC, operated on a single CPU core. The runtime scheduler could precisely calculate scan times, and the engineer's mental model of “one processor, one control loop” held true. In this episode of Control Intelligence, written by contributing editor Joey Stubbs, editor in chief Mike Bacidore shares how to handle determinism, jitter and load balancing in multicore control architectures.

Our heroes mys find a way to sneak past and infinite army of battle droids to plug their AI SIM into the CPU to regain control of the Droid Factory World Machis III.

OpenBSD 7.8, Building Enterprise Storage with Proxmox, SSD performance, Virtual Machines and more... NOTES This episode of BSDNow is brought to you by Tarsnap (https://www.tarsnap.com/bsdnow) and the BSDNow Patreon (https://www.patreon.com/bsdnow) Headlines OpenBSD 7.8 Released (https://www.openbsd.org/78.html) also (https://undeadly.org/cgi?action=article;sid=20251022025822) and (https://bsd.network/@brynet/115403567146395679) Building Enterprise-Grade Storage on Proxmox with ZFS (https://klarasystems.com/articles/building-enterprise-grade-storage-on-proxmox-with-zfs) News Roundup [TUHS] Was artifacts, now ethernet (https://www.tuhs.org/pipermail/tuhs/2025-July/032268.html) I wish SSDs gave you CPU performance style metrics about their activity (https://utcc.utoronto.ca/~cks/space/blog/tech/SSDWritePerfMetricsWish) Migrate a KVM virtual machine to OmniOS bhyve (https://www.tumfatig.net/2025/migrate-a-kvm-virtual-machine-to-omnios-bhyve) Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions brad - bhyve (https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/635/feedback/brad%20-%20bhyve.md) Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv (mailto:feedback@bsdnow.tv) Join us and other BSD Fans in our BSD Now Telegram channel (https://t.me/bsdnow)

¡Pixel Perfect Videojuegos, tu programa de radio de ninguna radio, presenta el episodio 117 (28/10/2025)!¡Estamos en YouTube! P.P. Videojuegos @elpixelpodcast. Los podcasts completos, en Patreon a 320kbps antes que nadie. Gracias, como siempre, a nuestra pedazo de comunidad y a todos los Patreons que lo hacen posible. Damos la bienvenida a un nuevo Patreon: Pedro Ayllón. ¡Suscríbete y activa la campanita para no perderte nada!En Lo Más Fresco comentamos el lanzamiento mundial de la Xbox ROG Ally X, que ya está en las manos de los jugadores. Analizamos las opiniones reales de la comunidad: su potencia, autonomía, ergonomía y la integración total con el ecosistema Xbox. Repasamos los puntos fuertes —como su rendimiento en juegos de PC y el diseño mejorado— y los débiles, con un software problemático y dudas sobre si justifica su precio. Además, reflexionamos sobre para quién va realmente este dispositivo y si es más un portátil gaming que una consola Xbox.Y también en Made in Japan desvelamos una de las noticias encubiertas más interesantes del mes: el modo Power Saver de PS5, que limitaría el rendimiento de CPU, GPU y PSSR, podría ser en realidad una pista del nuevo hardware portátil de Sony. Las pruebas en juegos como Demon's Souls o Days Gone Remaster apuntan a un rendimiento similar al de una PlayStation portátil “Canis”, con arquitectura RDNA 5 y CPU recortada. Todo indica que la nueva portátil de Sony es una realidad mucho más cercana de lo que parecía.En Noticias repasamos el bombazo: Halo Campaign Evolved Remake llega en 2026 a PlayStation, Xbox y PC, marcando el fin de la exclusividad histórica de Halo. Analizamos qué supone este movimiento para Xbox, el futuro de su marca y el significado de que su emblema llegue a la competencia. También repasamos la filtración de la nueva Xbox Magnus, los mensajes de Sarah Bond y Phil Spencer sobre el futuro del hardware, y el anuncio de Battlefield REDSEC, que llega totalmente gratis. Además, probamos Lossless Scaling, el programa que multiplica los FPS en PC, y celebramos el regreso retro con el C64 Mini Black Edition.Y en Quemando Controles contamos a qué estamos jugando: Nacho con Vampire: The Masquerade – Bloodlines 2, y Dani explorando los orígenes del horror espacial con Dead Space Extraction, la precuela de 2009 que conecta directamente con el clásico original.Como siempre cerramos leyendo los comentarios de la comunidad y con nuestras reacciones en directo.Nuestro Driver de Guncon 3 para PC!https://github.com/gameotaku79/Guncon3Windows

Topics covered in this episode: Cyclopts: A CLI library * The future of Python web services looks GIL-free* * Free-threaded GC* * Polite lazy imports for Python package maintainers* Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Cyclopts: A CLI library A CLI library that fixes 13 annoying issues in Typer Much of Cyclopts was inspired by the excellent Typer library. Despite its popularity, Typer has some traits that I (and others) find less than ideal. Part of this stems from Typer's age, with its first release in late 2019, soon after Python 3.8's release. Because of this, most of its API was initially designed around assigning proxy default values to function parameters. This made the decorated command functions difficult to use outside of Typer. With the introduction of Annotated in python3.9, type-hints were able to be directly annotated, allowing for the removal of these proxy defaults. The 13: Argument vs Option Positional or Keyword Arguments Choices Default Command Docstring Parsing Decorator Parentheses Optional Lists Keyword Multiple Values Flag Negation Help Defaults Validation Union/Optional Support Adding a Version Flag Documentation Brian #2: The future of Python web services looks GIL-free Giovanni Barillari “Python 3.14 was released at the beginning of the month. This release was particularly interesting to me because of the improvements on the "free-threaded" variant of the interpreter. Specifically, the two major changes when compared to the free-threaded variant of Python 3.13 are: Free-threaded support now reached phase II, meaning it's no longer considered experimental The implementation is now completed, meaning that the workarounds introduced in Python 3.13 to make code sound without the GIL are now gone, and the free-threaded implementation now uses the adaptive interpreter as the GIL enabled variant. These facts, plus additional optimizations make the performance penalty now way better, moving from a 35% penalty to a 5-10% difference.” Lots of benchmark data, both ASGI and WSGI Lots of great thoughts in the “Final Thoughts” section, including “On asynchronous protocols like ASGI, despite the fact the concurrency model doesn't change that much – we shift from one event loop per process, to one event loop per thread – just the fact we no longer need to scale memory allocations just to use more CPU is a massive improvement. ” “… for everybody out there coding a web application in Python: simplifying the concurrency paradigms and the deployment process of such applications is a good thing.” “… to me the future of Python web services looks GIL-free.” Michael #3: Free-threaded GC The free-threaded build of Python uses a different garbage collector implementation than the default GIL-enabled build. The Default GC: In the standard CPython build, every object that supports garbage collection (like lists or dictionaries) is part of a per-interpreter, doubly-linked list. The list pointers are contained in a PyGC_Head structure. The Free-Threaded GC: Takes a different approach. It scraps the PyGC_Head structure and the linked list entirely. Instead, it allocates these objects from a special memory heap managed by the "mimalloc" library. This allows the GC to find and iterate over all collectible objects using mimalloc's data structures, without needing to link them together manually. The free-threaded GC does NOT support "generations” By marking all objects reachable from these known roots, we can identify a large set of objects that are definitely alive and exclude them from the more expensive cycle-finding part of the GC process. Overall speedup of the free-threaded GC collection is between 2 and 12 times faster than the 3.13 version. Brian #4: Polite lazy imports for Python package maintainers Will McGugan commented on a LI post by Bob Belderbos regarding lazy importing “I'm excited about this PEP. I wrote a lazy loading mechanism for Textual's widgets. Without it, the entire widget library would be imported even if you needed just one widget. Having this as a core language feature would make me very happy.” https://github.com/Textualize/textual/blob/main/src/textual/widgets/__init__.py Well, I was excited about Will's example for how to, essentially, allow users of your package to import only the part they need, when they need it. So I wrote up my thoughts and an explainer for how this works. Special thanks to Trey Hunner's Every dunder method in Python, which I referenced to understand the difference between __getattr__() and __getattribute__(). Extras Brian: Started writing a book on Test Driven Development. Should have an announcement in a week or so. I want to give folks access while I'm writing it, so I'll be opening it up for early access as soon as I have 2-3 chapters ready to review. Sign up for the pythontest newsletter if you'd like to be informed right away when it's ready. Or stay tuned here. Michael: New course!!! Agentic AI Programming for Python I'll be on Vanishing Gradients as a guest talking book + ai for data scientists OpenAI launches ChatGPT Atlas https://github.com/jamesabel/ismain by James Abel Pets in PyCharm Joke: You're absolutely right

En este episodio, me enfrento a un desafío de rendimiento real: el consumo de CPU de PostgreSQL se dispara, pero sin alta actividad de lectura/escritura.Viajaremos a través de un diagnóstico detallado utilizando herramientas nativas de Postgres como pg_stat_activity y pg_stat_statements para desenmascarar las causas ocultas:La Sobrecarga de Conexión: Descubriremos cómo un simple healthcheck de Docker (pg_isready) configurado incorrectamente puede paralizar tu servidor por el alto overhead de gestión de procesos.El Cuello de Botella de la Aplicación: Analizamos y corregimos un error de diseño de código en Rust/Axum donde se recompilan Expresiones Regulares (Regex) en cada petición, consumiendo innecesariamente ciclos de CPU.Una lección práctica esencial para cualquiera que gestione bases de datos, despliegues en Docker o desarrolle aplicaciones eficientes en Rust en entornos Linux. Aprende a identificar estos fallos y a optimizar tu código mediante la precompilación de Regex utilizando TryFrom y Arc.Más información y enlaces en las notas del episodio

Dell Technologies has announced Dell AI Data Platform advancements designed to help enterprises turn distributed, siloed data into faster, more reliable AI outcomes. Why it matters As enterprise AI adoption surges and data grows, organisations need a platform that can securely transform distributed, siloed data into actionable insights. The Dell AI Data Platform, a critical component of the Dell AI Factory, delivers an open, modular foundation to create value from scattered data silos. By decoupling data storage from processing, it eliminates bottlenecks and provides the flexibility needed for AI workloads like training, fine-tuning, retrieval-augmented generation (RAG) or inferencing. The platform, integrated with the NVIDIA AI Data Platform reference design, is powered by four core building blocks: Storage engines for smart data placement and seamless data movement Data engines to turn data into actionable insights Built-in cyber resiliency Data management services Together, they create a scalable, flexible foundation for customers to realise AI's full potential. Dell AI Data Platform storage engines deliver peak AI performance Dell PowerScale and Dell ObjectScale, the Dell AI Data Platform's storage engines, offer the performance, security and multi-protocol access essential for AI data. Dell PowerScale delivers NAS (network-attached storage) simplicity and parallel performance for AI workloads like training, fine-tuning, inferencing and retrieval-augmented generation (RAG) pipelines. With new integration of NVIDIA GB200 and GB300 NVL72 and ongoing software updates, Dell PowerScale delivers reliable performance, simplified management at scale and seamless compatibility with applications and solution stacks. PowerScale F710, which has achieved NVIDIA Cloud Partner (NCP) certification for high-performance storage, delivers 16k+ GPU-scale with up to 5X less rack space, 88% fewer network switches and up to 72% lower power consumption compared to competitors. Dell ObjectScale, the industry's highest-performing object platform, provides extremely performant, scalable S3-native object storage for massive AI workloads. ObjectScale is available as an appliance or through a new software-defined option on Dell PowerEdge servers that is up to 8 times faster than previous-generation all-flash object storage. New advancements improve ObjectScale's speed, scalability and efficiency. S3 over RDMA support will soon enter tech preview. It will offer up to 230% higher throughput, 80% lower latency and 98% lower CPU usage compared to traditional S3. Small object performance and efficiency improvements for large deployments deliver up to 19% higher throughput and up to 18% lower latency for 10KB objects. Deeper AWS S3 integration and bucket-level compression give developers and data scientists better tools to store, move and use large amounts of data. Dell AI Data Platform data engines power real-time AI Dell is also expanding its data engines, the specialised tools in the Dell AI Data Platform that organise, query and activate AI data. Dell's data engines are built in collaboration with trusted AI leaders like NVIDIA, Elastic and Starburst. The new Data Search Engine, developed in collaboration with Elastic, speeds decision-making by allowing customers to interact with data as naturally as asking a question. Designed for tasks like RAG, semantic search and generative AI pipelines, it integrates with MetadataIQ data discovery software to search billions of files on PowerScale and ObjectScale using granular metadata. Developers can build smarter RAG applications in tools like LangChain with the engine, ingesting only updated files to save compute time and keep vector databases current. The Data Analytics Engine, developed in collaboration with Starburst, enables seamless data querying across spreadsheets, databases, cloud warehouses and lakehouses. The new Data Analytics Engine Agentic Layer transforms raw data into business-ready products in...

An airhacks.fm conversation with Paul Sandoz (@paulsandoz) about: Devoxx conference experiences and Java's evolution over the past decade, energy efficiency studies comparing Java to C/Rust/Ada from 2017, Java performance improvements from Java 8 to Java 25, Code Reflection as manipulation of method bodies versus traditional reflection, tornadovm optimizations for GPU inference achieving 6-10x speedup over CPU, using pointers to keep data on GPUs avoiding transfer overhead, Metal support development for Apple Silicon, relationship between Project Babylon and TornadoVM, HAT project collaboration opportunities, Python's GPU performance through optimized NVIDIA libraries, enterprise challenges with Python in production versus Java's packaging simplicity, BLISS library for NumPy-like operations in Java, DJL.ai for tensor manipulation and Deep Learning, JTaccuino for Jupyter-style notebooks with JavaFX, MCP protocol implementation challenges with poor specification quality, minimal JSON API design philosophy for OpenJDK, cognitive overhead reduction in API design, pattern matching with JSON values, assertion-style API for fail-fast programming, JSON-P versus JSON-B trade-offs in enterprise applications, versioning challenges with data binding approaches, embedded HTTP server use cases for testing and development, JSON-java library as reference implementation, zero-dependency approach becoming more popular, Java 25 instance main methods with automatic java.base imports, zb zero-dependency builder project, marshalling and serialization rethinking in OpenJDK, trusted builds and dependency management in enterprise Java, comparison of Maven/Gradle complexity for simple projects, GPL licensing for OpenJDK code, the java.util.json experiment Paul Sandoz on twitter: @paulsandoz

The latest In Touch With iOS with Dave he is joined by Jill McKinley, Guy Serle, Eric Bolden, Jeff Gamet, Marty Jencius, Ben Roethig. The panel compares Vision Pro vs Samsung Galaxy XR, reviews VisionOS Beta 4, reacts to Apple refusing Vision Pro trade-ins, discusses GM backing away from CarPlay, examines iPhone Air production concerns, and analyzes YouTube's new AI likeness detection tool and its implications for creators. iPhone Air production and strategy concerns, tied to mid-tier pricing pressure.  YouTube's new AI deepfake likeness detection, and what it means for creators and security. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary In Episode 392, Dave and the panel take on one of the biggest shifts in the VR landscape: Samsung's new Galaxy XR headset entering the same airspace as the Apple Vision Pro. The group compares weight, comfort, thermal balance, strap systems, and software ecosystems. Marty shares his early hands-on impressions with the Galaxy XR—including its lighter design but occasional light leakage—while Ben and Jill discuss how purpose may determine market success: Vision Pro for spatial productivity, Galaxy XR for approachable consumer entry.  The discussion moves to VisionOS Beta 4, where developer-focused updates aim to improve stability and groundwork for more immersive experiences. The consensus: incremental but necessary.   Then comes one of the show's most passionate sections: Apple's decision not to allow trade-ins of the first-generation Vision Pro. The panel debates how this affects:     •    customer loyalty     •    early-adopter trust     •    whether the Vision Pro is being treated like a dev kit vs. consumer product. Reactions range from “understandable” to “rough look for a $3,500 device.”  From there, the conversation shifts to the GM / CarPlay breakup, which inspires instant groans. Everyone shares personal and community stories confirming that CarPlay is no longer a luxury—it's baseline expectation. One panelist notes even non-tech friends refuse to buy a car without CarPlay, which says more than any product review ever could.   iPhone Air production and strategy concerns, tied to mid-tier pricing pressure  YouTube's new AI deepfake likeness detection, and what it means for creators and security Topics and Links In Touch With Vision Pro this week.  visionOS 26.1 Beta 3 Release Notes | Apple Developer Documentation  New Samsung Vision Pro Killer? Samsung's Galaxy XR Mixed Reality Headset Now Available for $1,800 Official Replay | Galaxy Event October 2025 | Samsung Spec Category Apple Vision Pro (M5) Samsung Galaxy XR Processor / Chipset Apple M5 chip: 10-core CPU, 10-core GPU, 16-core Neural Engine, built on 3nm process.  Qualcomm Snapdragon XR2+ Gen 2 platform.  Display & Resolution / Refresh Rate Dual micro-OLED displays, ~23 million pixels total, up to 120 Hz refresh rate.  Dual micro-OLED displays, 3552×3840 pixels per eye (≈27 million pixels total), refresh up to ~90 Hz.  Weight (headset unit) Reported ~750-800 g (26.4-28.2 ounces) for M5 version.  ~545 g for the headset unit; external battery pack adds additional weight.  Battery Life Up to ~2.5 hours general use, ~3 hours video playback for M5 version.  Up to ~2 hours general use, ~2.5 hours video. External battery unit (302 g) required.  Memory / Storage (From earlier model) 16 GB unified memory, storage options (256 GB+, etc) for earlier Vision Pro.  16 GB RAM / 256 GB storage reported.  Ecosystem / OS visionOS (Apple's spatial computing platform), tight Apple ecosystem integration.  Android XR OS (built in collaboration with Google and Samsung) with Gemini AI integration.  Launch Price ~$3,499 USD (for base Vision Pro) and remains at that level for upgraded M5 model.  ~$1,799 USD at launch.  Apple Confirms Vision Pro is Not Eligible for Trade-In Apple Releases New Vision Pro Developer Strap Apple Vision Pro Now Made in Vietnam Vimeo announces support for more 3D video formats on Apple Vision Pro Beta this week.  iOS 26.1 Beta 4 was released.  Apple Seeds Fourth Betas of iOS 26.1, iPadOS 26.1, macOS Tahoe 26.1 and More What's New in iOS 26.1 Beta 4  iOS 26.1 Beta 4 Adds Toggle to Turn Off Lock Screen Camera Swipe iOS 26.1 Beta 4 Lets Users Control Liquid Glass Transparency with New Toggle - MacRumors iOS 26.1 Coming Soon With These 8 New Features for Your iPhone In Touch With Mac this week  Apple Seeds Fourth Betas of iOS 26.1, iPadOS 26.1, macOS Tahoe 26.1 and More  Other Topics Important! iOS 26 has a new iPhone security setting that you need to turn on immediately Apple's Sports app just got better for NFL and college football fans - 9to5Mac OpenAI Launches 'ChatGPT Atlas' Browser to Compete with Safari and Chrome OpenAI Acquires Apple Shortcuts Creators to Bring Deep Mac Integration to ChatGPT News GM to Remove CarPlay from All Future Vehicles, Including Gas Cars  Apple's iPhone Air Experiment Fails as Supply Chain Cuts Production by 80% and Report: 'Virtually No Demand' for iPhone Air  Some Cosmic Orange iPhone 17 Pros Seeing Discoloration Issue New 14-Inch MacBook Pro, iPad Pro, and Vision Pro Now Available at Apple Stores  YouTube Rolls Out AI Likeness Detection Tool to Prevent Deepfakes Announcements Macstock 9 has wrapped for 2025. Attendees will receive a link for the session recordings when  they're ready in 30-45 days. If you missed Macstock we missed you! Why not purchase a digital pass to relive all the amazing presentations? Click the link below to purchase the digital pass. Macstock X has already been announced July 10,11,12, 2026 hopeful you all can join us.  Macstock IX Digital Pass Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastodon @daveg65, , BlueSky @daveg65  and the show @intouchwithios   Our Regular Contributors Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on Mastadon @jgamet Pixelfed @jgamet@pixelfed.social and Bluesky @jgamet.bsky.social‬ Podcasts The Context Machine Podcast  Retro Rewatch Retro Rewatch His YouTube channel https://youtube.com/jgamet Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and Circular Firing Squad Podcast. Find him at jencius@mastodon.social  https://thepodtalk.net  Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him by email at eabolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast.   Jill McKinley works in enterprise software, server administration, and IT A lifelong tech enthusiast, she started her career with Windows but is now an avid Apple fan. Beyond technology, she shares her insights on nature, faith, and personal growth through her podcasts—Buzz Blossom & Squeak, Start with Small Steps, and The Bible in Small Steps. Watch her content on YouTube at @startwithsmallsteps and follow her on X @schmern. Find all her work at http://jillfromthenorthwoods.com. Chuck Joiner is the host of MacVoices and hosts video podcasts with influential members of the Apple community. Make sure to visit macvoices.com and subscribe to his podcast. You can follow him on Twitter @chuckjoiner and join his MacVoices Facebook group. Ben Roethig Former Associate Editor of GeekBeat.TV and host of the Tech Hangout and Deconstruct with Patrice  Mac user since the mid 90s. Tech support specialist. X @benroethig and all other social media @benroethig.   Website: https://roethigtech.com/ Guy Serle is one of the hosts of the new The Gmen Show along with GazMaz and email Guy@mymac.com @MacParrot and @VertShark on X  Vertshark on YouTube, Skype +1 Area code  703-828-4677

Strategic Technology Consultation Services This episode of The Modern .NET Show is supported, in part, by RJJ Software's Strategic Technology Consultation Services. If you're an SME (Small to Medium Enterprise) leader wondering why your technology investments aren't delivering, or you're facing critical decisions about AI, modernization, or team productivity, let's talk. Show Notes "What do I mean by compute? Compute is whenever you want a computer to do a thing, okay, it requires the CPU to exist and I want the CPU to do a thing. How well it can do it Is based upon what kind of CPU you have. What kind of CPU they have since have it in miniature chip. So, if you have an NVIDIA chip, it does a lot of really good things, but as we know, they're very expensive, and that's why NVIDIA is like what, I guess, the largest company in the world right now."— Michael Washington Hey everyone, and welcome back to The Modern .NET Show; the premier .NET podcast, focusing entirely on the knowledge, tools, and frameworks that all .NET developers should have in their toolbox. I'm your host Jamie Taylor, bringing you conversations with the brightest minds in the .NET ecosystem. Today, Michael Washington joined us to talk about his open source project "Personal Data Warehouse", what a data warehouse is, and the why we collect data in our applications. We also talk about the differences between storing data in the database and storing it in a data warehouse—one of the biggest differences, as you'll find out, is the difference in cost. "The only reason why we collect any data is because at some point a human being needs this data to make a decision. Seriously, and I challenge anyone to come up with any exceptions to that."— Michael Washington Along the way, we talked about the benefits and pitfalls of leveraging AI (particularly LLMs) in your applications. Both Michael and I agree that there is little "intelligence" in LLMs in the traditional sense, and Michael brings up the most important point when deciding to an LLM in your application: that a human must always make decisions based on what data they have and what the LLM can provide. We must never hand over decision making to LLMs. Before we jump in, a quick reminder: if The Modern .NET Show has become part of your learning journey, please consider supporting us through Patreon or Buy Me A Coffee. Every contribution helps us continue bringing you these in-depth conversations with industry experts. You'll find all the links in the show notes. Anyway, without further ado, let's sit back, open up a terminal, type in `dotnet new podcast` and we'll dive into the core of Modern .NET. Full Show Notes The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at: https://dotnetcore.show/season-8/data-ai-and-the-human-touch-michael-washington-on-building-trustworthy-applications/ Useful Links: Apache Parquet Personal Data Warehouse on: Windows App Store GitHub Michael on: Find an MVP GitHub Bluesky Blazor Help Website blazordata.net AI Story Builders Supporting the show: Leave a rating or review Buy the show a coffee Become a patron Getting in Touch: Via the contact page Joining the Discord Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend. And don't forget to reach out via our Contact page. We're very interested in your opinion of the show, so please get in touch. You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast. Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show. Editing and post-production services for this episode were provided by MB Podcast Services.

En la edición de hoy del Radar Empresarial examinamos las cifras y el efecto que ha tenido la subida en el mercado after hours de Intel. La tecnológica registró un incremento superior al 8% tras el cierre bursátil, impulsada por su regreso a la rentabilidad después de casi dieciocho meses en pérdidas. Durante este último periodo, la compañía ha logrado beneficios por 4.100 millones de dólares, marcando un punto de inflexión en su trayectoria reciente. Este resultado se debe, en buena medida, a un aumento del 3% en su facturación interanual, principalmente por el buen desempeño de su división de computación y por el auge de los productos vinculados a la inteligencia artificial y los centros de datos. Este resurgimiento no puede entenderse sin la influencia de Lip Bu Tan, quien asumió la dirección ejecutiva en marzo pasado. Bajo su liderazgo, Intel ha reforzado su estrategia mediante alianzas clave con NVIDIA y el gobierno de Estados Unidos. Gracias a estos acuerdos, la compañía ha asegurado inversiones que suman alrededor de 20.000 millones de dólares, provenientes de socios estratégicos como Nvidia y Softbank. En septiembre, Nvidia anunció la compra del 4% de Intel por 5.000 millones de dólares, con el compromiso de desarrollar en conjunto procesadores x86 personalizados para plataformas de inteligencia artificial. En el ámbito de la computación tradicional, la colaboración entre ambas empresas también dará lugar a chips híbridos que combinarán procesadores x86 con unidades gráficas RTX, integrando CPU y GPU en un único componente. Por su parte, el gobierno estadounidense, siguiendo la línea iniciada durante la administración Trump, adquirió 433 millones de acciones, equivalentes al 10% del capital, en una operación valorada en 13.000 millones de dólares. Esta inversión responde a la estrategia de fortalecer la producción nacional de semiconductores frente a la competencia china. El año 2025 se perfila como uno de los más prometedores para Intel. La confianza de inversores como Nvidia, Softbank y el propio gobierno estadounidense refuerza su posición como actor central en la industria tecnológica. La compañía japonesa, además, destinó 2.000 millones de dólares para adquirir el 2% de la firma, reafirmando su apuesta por la innovación y el desarrollo de chips avanzados en Estados Unidos. Con estos resultados y el apoyo de sus nuevos aliados, todo apunta a que este año marca el verdadero renacimiento de Intel.

Der Einstieg von OpenAI bei AMD sorgt für neue Dynamik in der Halbleiterbranche. Nachdem der Chipkonzern in den vergangenen Jahren vor allem im CPU-Geschäft Marktanteile von Intel gewinnen konnte, rückt nun das Datencenter- und KI-Segment stärker in den Fokus. Mit einer Beteiligung von rund zehn Prozent durch OpenAI wird deutlich: AMD soll künftig eine wichtigere Rolle in der globalen KI-Infrastruktur spielen. Doch kann das Unternehmen tatsächlich zu Nvidia aufschließen? Während Nvidia den Markt für KI-Grafikprozessoren dominiert, hat AMD unter CEO Lisa Su eine beeindruckende Transformation vollzogen, mit steigenden Margen, einer soliden Bilanz und wachsendem Umsatz im Datencenter-Bereich. Seit 2015 hat sich der Aktienkurs vervielfacht, und auch die jüngsten Quartalszahlen zeigen eine klare Aufwärtstendenz. Im Podcast beleuchten wir, wie sich AMD strategisch im KI-Boom positioniert, welche Chancen und Risiken aus der Partnerschaft mit OpenAI entstehen und ob die Bewertung nach der jüngsten Kursrallye noch attraktiv ist. Außerdem geht es um den Vergleich mit Nvidia, Broadcom und Intel sowie um die Frage, ob der aktuelle Aufschwung nachhaltig sein kann oder bereits zu viel Zukunft eingepreist ist. Inhaltsverzeichnis00:00 Intro00:53 Langfristiger Chart: AMD01:54 AMD vs. iShares ETF Semiconductor vs. Technologie-ETF (XLK) vs. S&P 50002:25 AMD vs. Nvidia vs. Broadcom vs. Synopsis vs. Qualcomm vs. Intel02:55 OpenAI Beteiligung an AMD03:55 Große Wachstums-Chancen04:53 KI Infrastruktur Überblick06:07 Quartalszahlen: Q2 202506:41 CPU- & Grafikkarten Markt Überblick07:26 Umsatzentwicklung Daten Center08:05 Globaler Halbleiter & Daten Center Markt08:35 Burggraben09:09 Inhaberschaft10:21 Umsatz- & Margen-Entwicklung vs. Video aus 202312:31 Gewinn- & Cashflow-Entwicklung vs. Video aus 202313:26 Bilanzüberblick14:10 Übernahme von Xilinx & ZT Systems14:53 Kennzahlen (KGV)15:35 Unternehmensbewertung vs. Video aus 202317:37 Chartanalyse AMD vs. Video aus 202318:12 Ist die AMD Aktie derzeit ein Kauf?19:12 Disclaimer & Börsen-Kompass20:08 Danke fürs Einschalten!

This podcast discusses how AMD is modernizing data centers with open standards, AI-ready hardware, and a broad CPU, GPU, and FPGA portfolio, while executives highlight supply-chain strategies, open-source investments, and partnerships that boost performance, cut costs, and maximize space.

Have you ever considered how a single server can support countless applications and workloads at once?   In this episode, hosts Lois Houston and Nikita Abraham, together with Principal OCI Instructor Orlando Gentil, explore the sophisticated technologies that make this possible in modern cloud data centers.   They discuss the roles of hypervisors, virtual machines, and containers, explaining how these innovations enable efficient resource sharing, robust security, and greater flexibility for organizations.   Cloud Tech Jumpstart: https://mylearn.oracle.com/ou/course/cloud-tech-jumpstart/152992 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. -------------------------------------------------- Episode Transcript:   00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hi everyone! For the last two weeks, we've been talking about different aspects of cloud data centers. In this episode, Orlando Gentil, Principal OCI Instructor at Oracle University, joins us once again to discuss how virtualization, through hypervisors, virtual machines, and containers, has transformed data centers. 00:58 Lois: That's right, Niki. We'll begin with a quick look at the history of virtualization and why it became so widely adopted. Orlando, what can you tell us about that?  Orlando: To truly grasp the power of virtualization, it's helpful to understand its journey from its humble beginnings with mainframes to its pivotal role in today's cloud computing landscape. It might surprise you, but virtualization isn't a new concept. Its roots go back to the 1960s with mainframes. In those early days, the primary goal was to isolate workloads on a single powerful mainframe, allowing different applications to run without interfering with each other. As we moved into the 1990s, the challenge shifted to underutilized physical servers. Organizations often had numerous dedicated servers, each running a single application, leading to significant waste of computing resources. This led to the emergence of virtualization as we know it today, primarily from the 1990s to the 2000s. The core idea here was to run multiple isolated operating systems on a single physical server. This innovation dramatically improved the resource utilization and laid the technical foundation for cloud computing, enabling the scalable and flexible environments we rely on today. 02:26 Nikita: Interesting. So, from an economic standpoint, what pushed traditional data centers to change and opened the door to virtualization? Orlando: In the past, running applications often meant running them on dedicated physical servers. This led to a few significant challenges. First, more hardware purchases. Every new application, every new project often required its own dedicated server. This meant constantly buying new physical hardware, which quickly escalated capital expenditure. Secondly, and hand-in-hand with more servers came higher power and cooling costs. Each physical server consumed power and generated heat, necessitating significant investment in electricity and cooling infrastructure. The more servers, the higher these operational expenses became. And finally, a major problem was unused capacity. Despite investing heavily in these physical servers, it was common for them to run well below their full capacity. Applications typically didn't need 100% of server's resources all the time. This meant we were wasting valuable compute power, memory, and storage, effectively wasting resources and diminishing the return of investment from those expensive hardware purchases. These economic pressures became a powerful incentive to find more efficient ways to utilize data center resources, setting the stage for technologies like virtualization. 04:05 Lois: I guess we can assume virtualization emerged as a financial game-changer. So, what kind of economic efficiencies did virtualization bring to the table? Orlando: From a CapEx or capital expenditure perspective, companies spent less on servers and data center expansion. From an OpEx or operational expenditure perspective, fewer machines meant lower electricity, cooling, and maintenance costs. It also sped up provisioning. Spinning a new VM took minutes, not days or weeks. That improved agility and reduced the operational workload on IT teams. It also created a more scalable, cost-efficient foundation which made virtualization not just a technical improvement, but a financial turning point for data centers. This economic efficiency is exactly what cloud providers like Oracle Cloud Infrastructure are built on, using virtualization to deliver scalable pay as you go infrastructure.  05:09 Nikita: Ok, Orlando. Let's get into the core components of virtualization. To start, what exactly is a hypervisor? Orlando: A hypervisor is a piece of software, firmware, or hardware that creates and runs virtual machines, also known as VMs. Its core function is to allow multiple virtual machines to run concurrently on a single physical host server. It acts as virtualization layer, abstracting the physical hardware resources like CPU, memory, and storage, and allocating them to each virtual machine as needed, ensuring they can operate independently and securely. 05:49 Lois: And are there types of hypervisors? Orlando: There are two primary types of hypervisors. The type 1 hypervisors, often called bare metal hypervisors, run directly on the host server's hardware. This means they interact directly with the physical resources offering high performance and security. Examples include VMware ESXi, Oracle VM Server, and KVM on Linux. They are commonly used in enterprise data centers and cloud environments. In contrast, type 2 hypervisors, also known as hosted hypervisors, run on top of an existing operating system like Windows or macOS. They act as an application within that operating system. Popular examples include VirtualBox, VMware Workstation, and Parallels. These are typically used for personal computing or development purposes, where you might run multiple operating systems on your laptop or desktop. 06:55 Nikita: We've spoken about the foundation provided by hypervisors. So, can we now talk about the virtual entities they manage: virtual machines? What exactly is a virtual machine and what are its fundamental characteristics? Orlando: A virtual machine is essentially a software-based virtual computer system that runs on a physical host computer. The magic happens with the hypervisor. The hypervisor's job is to create and manage these virtual environments, abstracting the physical hardware so that multiple VMs can share the same underlying resources without interfering with each other. Each VM operates like a completely independent computer with its own operating system and applications.  07:40 Lois: What are the benefits of this? Orlando: Each VM is isolated from the others. If one VM crashes or encounters an issue, it doesn't affect the other VMs running on the same physical host. This greatly enhances stability and security. A powerful feature is the ability to run different operating systems side-by-side on the very same physical host. You could have a Windows VM, a Linux VM, and even other specialized OS, all operating simultaneously. Consolidate workloads directly addresses the unused capacity problem. Instead of one application per physical server, you can now run multiple workloads, each in its own VM on a single powerful physical server. This dramatically improves hardware utilization, reducing the need of constant new hardware purchases and lowering power and cooling costs. And by consolidating workloads, virtualization makes it possible for cloud providers to dynamically create and manage vast pools of computing resources. This allows users to quickly provision and scale virtual servers on demand, tapping into these shared pools of CPU, memory, and storage as needed, rather than being tied to a single physical machine. 09:10 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest technology. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 09:54 Nikita: Welcome back! Orlando, let's move on to containers. Many see them as a lighter, more agile way to build and run applications. What's your take? Orlando: A container packages an application in all its dependencies, like libraries and other binaries, into a single, lightweight executable unit. Unlike a VM, a container shares the host operating system's kernel, running on top of the container runtime process. This architectural difference provides several key advantages. Containers are incredibly portable. They can be taken virtually anywhere, from a developer's laptop to a cloud environment, and run consistently, eliminating it works on my machine issues. Because containers share the host OS kernel, they don't need to bundle a full operating system themselves. This results in significantly smaller footprints and less administration overhead compared to VMs. They are faster to start. Without the need to boot a full operating system, containers can start up in seconds, or even milliseconds, providing rapid deployment and scaling capabilities. 11:12 Nikita: Ok. Throughout our conversation, you've spoken about the various advantages of virtualization but let's consolidate them now.  Orlando: From a security standpoint, virtualization offers several crucial benefits. Each VM operates in its own isolated sandbox. This means if one VM experiences a security breach, the impact is generally contained to that single virtual machine, significantly limiting the spread of potential threats across your infrastructure. Containers also provide some isolation. Virtualization allows for rapid recovery. This is invaluable for disaster recovery or undoing changes after a security incident. You can implement separate firewalls, access rules, and network configuration for each VM. This granular control reduces the overall exposure and attack surface across your virtualized environments, making it harder for malicious actors to move laterally. Beyond security, virtualization also brings significant advantages in terms of operational and agility benefits for IT management. Virtualization dramatically improves operational efficiency and agility. Things are faster. With virtualization, you can provision new servers or containers in minutes rather than days or weeks. This speed allows for quicker deployment of applications and services. It becomes much simpler to deploy consistent environment using templates and preconfigured VM images or containers. This reduces errors and ensures uniformity across your infrastructure. It's more scalable. Virtualization makes your infrastructure far more scalable. You can reshape VMs and containers to meet changing demands, ensuring your resources align precisely with your needs. These operational benefits directly contribute to the power of cloud computing, especially when we consider virtualization's role in enabling cloud and scalability. Virtualization is the very backbone of modern cloud computing, fundamentally enabling its scalability. It allows multiple virtual machines to run on a single physical server, maximizing hardware utilization, which is essential for cloud providers. This capability is core of infrastructure as a service offerings, where users can provision virtualized compute resources on demand. Virtualization makes services globally scalable. Resources can be easily deployed and managed across different geographic regions to meet worldwide demand. Finally, it provides elasticity, meaning resources can be automatically scaled up or down in response to fluctuating workloads, ensuring optimal performance and cost efficiency. 14:21 Lois: That's amazing. Thank you, Orlando, for joining us once again.  Nikita: Yeah, and remember, if you want to learn more about the topics we covered today, go to mylearn.oracle.com and search for the Cloud Tech Jumpstart course.  Lois: Well, that's all we have for today. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 14:40 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

AWS Morning Brief for the week of October 20th, with Corey Quinn. Links:Amazon Location Service Introduces New Map Styling Features for Enhanced CustomizationAWS Resource Explorer launches immediate resource discovery within a Region AWS SAM CLI adds Finch support, expanding local development tool options for serverless applicationsSimplified model access in Amazon BedrockAmazon EC2 now supports CPU options optimization for license-included instancesIntroducing Amazon EBS Volume Clones: Create instant copies of your EBS volumesOptimizing document AI and structured outputs by fine-tuning Amazon Nova Models and on-demand inferenceIntroducing URL and host header rewrite with AWS Application Load BalancersNew Amazon EKS Auto Mode features for enhanced security, network control, and performanceMonitor, analyze, and manage capacity usage from a single interface with Amazon EC2 Capacity ManagerPerformance optimization strategies for MySQL on Amazon RDSAWS re:Invent 2025: Reimagining customer experience with Amazon AWS Deprecates Two Dozen Services (Most of Which You've Never Heard Of)A FinOps Guide to Comparing Containers and Serverless Functions for ComputeAnnouncing vector search for Amazon ElastiCache

Los nuevos procesadores de Apple son los mejores hasta la fecha. Sorpresa. Pero esconden muchos secretos que os iremos contando porque no todos los procesadores M5 son iguales. Y no nos referimos a la falta de procesadores M5 Pro ni M5 Max.Analizamos en profundidad los nuevos productos de Apple presentados con el chip M5. Exploramos las características del chip M5, destacando las mejoras en CPU y GPU, especialmente para tareas de inteligencia artificial, el aumento de la RAM base a 12GB y el mayor ancho de banda de memoria. Comentamos la llegada de las versiones actualizadas del MacBook Pro, iPad Pro y Vision Pro con esta nueva generación de procesadores. Detallamos las novedades en el MacBook Pro de 14 pulgadas, incluyendo su SSD más rápido y la controvertida decisión de no incluir adaptador de corriente en Europa y Reino Unido, justificada por las regulaciones de la Unión Europea y una rebaja de precio. En cuanto al iPad Pro M5, resaltamos sus capacidades superiores en algunos aspectos al MacBook, como soporte para monitores externos de 120Hz y la inclusión de Wifi 7. También revisamos las discretas mejoras en el Vision Pro M5, como el ligero aumento de píxeles de rendimiento y la nueva correa que mejora la comodidad, lamentando la ausencia de un programa de trade-in para el modelo anterior.Además, comentamos sobre el cambio de nombre del servicio de streaming a "Apple TV" (eliminando el "Plus") y la adquisición de los derechos de Fórmula 1 para Estados Unidos, un movimiento que consideramos estratégico para el crecimiento de su oferta deportiva y que Eddy Cue ha insinuado que ha llevado a más de 50 millones de suscriptores.Finalmente, abordamos el curioso "Rosagate", donde algunos iPhone 17 Pro Max naranjas están adoptando una tonalidad rosada, y la reciente visita de Tim Cook a China, la cual, a pesar de la buena acogida y un regalo personalizado, generó un debate sobre el equilibrio de las inversiones de Apple a nivel global.- Apple lanza el M5, un gran avance en rendimiento de la IA para los chips de Apple - Apple (ES)- El nuevo MacBook Pro no incluye cargador (y la culpa no es de Apple) | Tecnología- INIYSA on X: "Wonder how much better M5 will be for gaming Apple's gen 2 dynamic caching gave A19 a huge boost in games with complex shaders" / X- 9to5Mac on X: "Here's the most impressive thing about the M5 chip https://t.co/r3birw31yG by @benlovejoy" / X- Apple TV gana a ESPN los derechos de la F1 en EEUU con un acuerdo histórico- M5 Vision Pro weighs 150g more than M2 Vision Pro : r/apple- Some iPhone 17 Pro Max Units Are Fading From Cosmic Orange To Rose Gold As Oxidation Complaints Surface- Los Labubus de Tim Cook

FEATURING: (00:02:58) New Business - Pokemon Legends: Z-A.(00:31:14) Super Mario Galaxy 2.(00:43:51) Super Mario 64.(00:49:23) South of Midnight.(00:55:37) Atari 50: The First Console War DLC.(01:22:53) NES emulation and playing the CPU against itself.(01:36:08) Jon reads out loud his descriptions of James' TSI art.

Foundations of Amateur Radio The other day I received an email from Frank K4FMH asking me about an idea I'd worked on some time ago, namely the notion that I might monitor solar flux at home using a software defined radio. At the time I was attempting to get some software running on my PlutoSDR and got nowhere fast. Before I continue, a PlutoSDR, or more formally an ADALM Pluto Active Learning Module by Analog Devices, is both a computer and a software defined radio receiver and transmitter in a cute little blue box. I've talked about this device before. It's an open design, which means that both the software and hardware are documented and available straight from the manufacturer. Out of the box it covers 325 MHz to 3.8 GHz. You can connect to a PlutoSDR using USB or via the network, wireless or Ethernet, though I will mention that neither of those last two is currently working for me, but more on that later. Encouraged by Frank's email, I set out to explore further and came across a 2019 European GNU Radio days workshop, which discussed some of the tools that are available for the PlutoSDR, accompanied by two PDF documents walking you through the experience. One comment around why the PlutoSDR uses networking as one of the connectivity options spoke to me. From a usability perspective, networking makes it easier to access the PlutoSDR from a virtual machine, since most of the time that already has network connectivity, whereas USB often requires drivers. As you might recall, network connectivity is one of the many things that I'm trying to achieve with a project that I'm calling Bald Yak, since by the time we're done, there's not going to be much hair left from all the Yak Shaving. The Bald Yak project aims to create a modular, bidirectional and distributed signal processing and control system that leverages GNU Radio. As a result, I set about trying to actually walk myself through those PDF tutorials .. and got stuck on the first sentence on the first page, which helpfully states: "The necessary prerequisites have been installed on the local lab machine." It went on to supply a link to a page with instructions on how to acquire those very same prerequisites. Two days later, after much trial and error, I can now report that I too have these installed and because I cannot help myself, I made it into a Docker container and published this on my VK6FLAB GitHub page. To put it mildly, there's a few moving parts and plenty of gotchas. As an aside, if you think that installing Docker is harder than installing these tools, I have some news for you .. trust me .. by a long shot .. it's not. Right now I'm working on writing the documentation that accompanies this project such that you can actually use it without needing to bang your head against the desk in frustration. Mind you, the documentation part of this is non-trivial. For reasons I don't yet understand, my Pluto does not want to talk to the network directly over either WiFi or Ethernet, and connecting over USB through a virtual machine inside a Docker container is giving me headaches, so right now I'm connected across the network to a Raspberry Pi that's physically connected to the Pluto. As a result, I can now use the tools inside my Docker container, connected to the Pluto through the Pi and if you're curious, 'iiod' is the tool to make that happen .. more documentation. At this point you might well ask, why bother? This is a fair question. Let me see if I can give you an answer that will satisfy. Monitoring solar flux typically occurs at 2.8 GHz, which is outside the range of RTL-SDR dongles which top out at about 1.7 GHz. For the PlutoSDR however, it's almost perfectly within the standard frequency range. One of the tools that is introduced by the talk is an application called 'iio-scope', which as the name suggests, is an oscilloscope for 'iio' or Industrial I/O devices, of which the PlutoSDR is one. As an aside, the accelerometer in your laptop, the battery voltage, the CPU temperatures, fans, and plenty of others, are all 'iio' devices that you can look at with various tools. So, once I've finished the tutorials, I suspect that I will understand a little better how some of the various parts of the PlutoSDR hang together, and I can set it up to monitor 2.8 GHz. Of course, that's only step one, the next step is to make a Raspberry Pi record the power levels over time, better still, record it on the PlutoSDR itself, and see if we can actually notice any change .. without requiring anything fancy like a special antenna, some massive filters, a special mount and all the other fun and games that no doubt will reveal themselves in good time. It also means that, if I got this right, I have the beginnings of the bits needed to get the PlutoSDR to talk to GNU Radio. Why? Because I can, and because Frank asked, also Yak Shaving. I'm Onno VK6FLAB

Episode 85: We chat about Battlefield 6 testing and explore the difficulties with testing one-click overclocking features in benchmarks, such as PBO and 200S Boost. We also discuss the latest Intel graphics announcements including Xe3 and XeSS 3, as well as motherboard vendors beginning to say Zen 6 will be supported on AM5SOURCEShttps://www.tomshardware.com/pc-components/gpus/intels-xe3-graphics-architecture-breaks-cover-panther-lakes-12-xe-core-igpu-promises-50-percent-better-performance-than-lunar-lakehttps://www.tomshardware.com/pc-components/cpus/intel-takes-the-wraps-off-panther-lake-first-18a-client-processor-brings-the-best-of-lunar-lake-and-arrow-lake-together-in-one-packagehttps://videocardz.com/newz/intel-confirms-xe3p-will-mark-arc-naming-switch-to-c-serieshttps://www.pcgamer.com/hardware/graphics-cards/intel-announces-xess-3-with-multi-frame-generation-putting-it-ahead-of-amd-in-the-ai-powered-graphics-performance-race/https://videocardz.com/newz/asrock-confirms-b850-motherboards-to-directly-support-future-zen-6-cpushttps://videocardz.com/newz/asus-officially-confirms-zen6-desktop-support-for-am5-based-b850-motherboardCHAPTERS00:00 - Intro00:43 - Battlefield 6 testing thoughts09:11 - Battlefield 6 VRAM leak11:31 - Questionable Battlefield 6 CPU benchmarks?20:49 - Issues with overclocking CPUs29:59 - Why we don't test with PBO or 200S Boost, but do test with XMP40:45 - Overclock tweaking can be a grift50:34 - Intel graphics updates, Xe3 and XeSS 358:32 - Motherboard makers confirm Zen 6 on AM5 publicly1:09:10 - Updates from our boring livesSUBSCRIBE TO THE PODCASTAudio: https://shows.acast.com/the-hardware-unboxed-podcastVideo: https://www.youtube.com/channel/UCqT8Vb3jweH6_tj2SarErfwSUPPORT US DIRECTLYPatreon: https://www.patreon.com/hardwareunboxedLINKSYouTube: https://www.youtube.com/@Hardwareunboxed/Twitter: https://twitter.com/HardwareUnboxedBluesky: https://bsky.app/profile/hardwareunboxed.bsky.social Hosted on Acast. See acast.com/privacy for more information.

On this episode of The MacRumors Show, we talk through Apple's all-new M5 chip and the three updated devices it announced containing it this week. Apple this week announced the M5 chip, featuring improved performance and efficiency with a 10-core CPU and 10-core GPU. Apple says the M5 chip offers up to 15% faster CPU performance and up to 45% faster graphics, compared to the M4 chip. It also contains a next-generation GPU architecture optimized for AI tasks, Neural Accelerators for each core, a third-generation ray-tracing engine, enhanced shader cores, and second-generation dynamic caching. There is also a faster 16-core Neural Engine. It has memory bandwidth of 153GB/s and supports up to 32GB of unified memory. The M5 chip comes to the entry-level MacBook Pro, delivering improved performance. It can also now be configured with up to 4TB of storage. The iPad Pro also gains the M5 chip, along with Apple's N1 chip, a new custom-designed wireless networking chip that provides Wi-Fi 7, Bluetooth 6, and Thread. Cellular versions of the new ‌‌iPad Pro‌‌ feature Apple's C1X modem, which allows up to 50% faster cellular data performance than its predecessor, with much greater efficiency. The new ‌‌iPad Pro‌‌ adds the ability to drive external displays at up to 120Hz and now supports Adaptive Sync. The 256GB and 512GB models now start with 12GB of unified memory. The M5 chip is also a key part of a notable update to the Vision Pro. The headset now renders 10% more pixels, can ramp up to a 120Hz refresh rate, and offers three hours of battery life. A new Dual Knit Band feature two straps knitted into a single piece, providing a more comfortable fit. The lower strap has tungsten inserts that provide a counterweight. Apple is also now selling the Logitech Muse spatial stylus for the Vision Pro, and it will begin selling the PlayStation VR2 Sense controller starting next month. Apple's new devices are now available to pre-order, with launch on Wednesday, October 22. This episode is sponsored by Shopify — Sign up for your $1-per-month trial and start selling today at shopify.com/mac.

The latest In Touch With iOS with Dave he is joined by Jill McKinley, Jeff Gamet, Chuck Joiner, Eric Bolden, Marty Jencius, Ben Roethig. covers Apple's new Vision Pro M5, iPad Pro M5, and MacBook Pro M5, along with reactions to the Apple TV rebrand, AirPods Pro 3 inflight experiences, and iOS 26.1 beta updates. The panel debates upgrade value, trade-ins, and Apple's AI direction—while delivering laughs about blood-test preorders, “no-good sons,” and iPads that go “womp-womp.” The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary In Episode 391 of In Touch With iOS, host David Ginsburg welcomes Jill McKinley, Marty Jencius, Jeff Gamet, Chuck Joiner, Eric Bolden, and Ben Roethig to unpack Apple's October announcements—and crack a few jokes along the way. The panel dives into the launch of the Vision Pro M5, iPad Pro M5, and 14-inch MacBook Pro M5, exploring how Apple's latest chip is showing up everywhere—from spatial computing to creative workflows. Marty admits to pre-ordering the new Vision Pro while having blood drawn, leading to the episode's funniest moment (“They took my blood, I gave Apple my money”). Jeff immediately volunteers to be Marty's “no-good son” to inherit the old headset, sparking laughter about “device reallocation” policies. Discussion turns to the Vision Pro's new dual-knit band and Hover headset accessory, which redistributes weight to the crown of the head. Dave likens it to “flipping up granny sunglasses,” while Ben compares it to wearing “night-vision goggles.” Chuck's wise counsel: “Wait for the M5 Pro—patience beats payment.” MacBook Pro M5 specs are examined in detail—10-core CPU, 10-core GPU, 24-hour battery life (cue the joke: “if you never touch it”), and no Wi-Fi 7 support. Marty shares his “trade-up philosophy” while Jeff laments his $800 trade-in offer: “It lost that much value that fast?” Chuck recommends Apple's refurb store, calling it “the best deal Apple doesn't advertise.” The crew also explores the iPad Pro M5, agreeing that performance gains are meaningful but most users won't need to upgrade. Jill admits her iPad mostly serves as a “sleep-aid game console,” while Eric says Vision Pro has cut into his tablet use entirely. Other highlights:     •    Vision Pro M5's 120 Hz refresh rate and better cooling.     •    No Wi-Fi 6E bump—for $3,500, that drew audible groans.     •    AI readiness of the M5 chip sparks debate on whether Apple even has an “AI strategy.”     •    Apple TV's rebranding from “TV+” to “Apple TV,” which the panel calls “peak confusion.”     •    AirPods Pro 3 flight test: Marty's seal so tight it caused ear “pop-pop-pop” moments, while Dave says noise-canceling on planes “kills all sound, including your will to chat.”   Topics and Links Breaking News  Apple Debuts New iPad Pro With M5 Chip, Faster Charging, and More Apple Announces New 14-Inch MacBook Pro With M5 Chip Apple Updates Vision Pro With M5 Chip, Dual Knit Band, and 120Hz Support Here's Everything Apple Announced Today  In Touch With Vision Pro this week.  visionOS 26.1 Beta 3 Release Notes | Apple Developer Documentation Apple Updates Vision Pro With M5 Chip, Dual Knit Band, and 120Hz Support

Send us a text!Watch this episode on YouTubeThis week, don't call it an Apple Event, but the first M5 devices are here! The MacBook Pro, the iPad Pro, and the Vision Pro too… I guess. Also: What we're buying, and the Steve Jobs commemorative $1 coin.This episode supported by:Listeners like you. Your support helps us fund CultCast Off-Topic, a new weekly podcast of bonus content available for everyone; and helps us secure the future of the podcast. You also get access to The CultClub Discord, where you can chat with us all week long, give us show topics, and even end up on the show. Support The CultCast at support.thecultcast.com — or unsubscribe at unfork.thecultcast.comCleanMyMac is your ultimate solution for Mac control and care. Get tidy today — try 7 days free and use my code CULTCAST for 20% off at clnmy.com/CultCastMost companies only act after a breach. Be the one that's prepared. Defend your business with NordStellar. Get an exclusive offer: Unlock your 10% discount on NordStellar with the coupon code cultcast-10 at NordStellar.com/CultCast. Just mention it to NordStellar!This week's stories:Apple's new M5 chip pumps up AI and graphics processing powerWith release of the new MacBook Pro and more, Apple's new M5 chip pumps up AI and graphics processing power amid other gains.14-inch MacBook Pro gets M5 power boostApple's refreshed entry-level MacBook Pro delivers a massive leap in CPU, GPU and AI performance thanks to the next-gen M5 processor.Apple supercharges iPad Pro with next-gen M5 processorApple just revealed the 2025 iPad Pro, which gets a speed boost from the new M5 processor, and some variants get 50% more RAM.Going large on M5 iPad Pro storage also scores premium performanceSpatial computing gets more powerful (and comfortable) with M5 Vision ProApple upgrades the Vision Pro to the latest M5 chip. The improved headset also features a more comfortable strap and better battery life.Vision Pro owners can get its biggest upgrade for just $99Steve Jobs $1 coin looks nothing like Steve JobsA weird portrait of Apple co-founder Steve Jobs sitting in a California meadow will appear on a $1 coin from the U.S. Mint in 2026.

Send us a textARM Ascends, Oil Drifts, Queens EnduresI open on macro static and shutdown fog, a strange steadiness where the market beat goes on. The Beige Book whispers fractures, three Fed districts up, five flat, four softening, a recalibration more than a roar. The feature turns to ARM, where the data center bottleneck is power, not code. ARM sells the blueprint, cutting CPU energy use perhaps by half, and the live question is simple: can it win 50 percent of data center CPUs. Then energy's riddle: oil sits near $56, where it was in 2005, with about 1.5 trillion barrels of proven reserves setting the rough scale. I close with Queens County, a Tony Soprano thrift that became my acid test and first great trade, the name fades, but the fuse remains.If this hit the mark, tap 5 

We're back for Episode 164 of Pixel Gaiden! In this episode Cody and Eric catch up on the news and cover Battle Of The Systems: Night Slashers (Arcade, Data East) vs Metamorphic Force (Arcade, Konami)   7:12 - Quick Questions 33:19 - Patreon Song 36:58- Tea Time With Tim - Amiga Memories 49:45 - Cody's Corner - Cool Systems To Collect For 1:07:38 - News 2:01:24- Battle Of The Systems: Night Slashers (Arcade, Data East) vs Metamorphic Force (Arcade, Konami)   News -    Cody – A full sized modern Amiga? https://www.timeextension.com/news/2025/09/amiga-lives-apollo-a6000-promises-to-pick-up-where-commodore-left-off  Tim – Could this be the best Amiga ever?  – NEW... Raspberry Pi 500+ quad-core 64-bit Arm, CPU, 16Gb RAM, 256GB NVMe SSD included. Plus, a new mechanical keyboard with coloured LED's. Ideal for use with PiMiga to give the ultimate Amiga in a very small footprint.  https://www.raspberrypi.com/products/raspberry-pi-500-plus/  Cody – Playdate now has Folders!   Is this a big deal Eric? https://www.timeextension.com/news/2025/10/playdate-os-3-0-adds-a-much-requested-feature-folders   Tim - RM 800XL – Atari 800XL modern recreation in the offing from Revive Machines in Poland. The website is dated 2023, so not sure what the progress is. This came from something on my Bluesky feed showing the case mockup. Looks promising here are the details so far on the site:  https://revive-machines.com/index-en.html  Cody – Lets bust out the NeoGeo Pocket! https://www.timeextension.com/news/2025/10/dont-die-mr-robot-gets-demade-for-the-neo-geo-pocket-color   Eric - New Baldur's Gate 3 Update Includes Steam Deck-Native Version Of The RPG – GameSpot  https://www.gamespot.com/articles/new-baldurs-gate-3-hotfix-includes-steam-deck-native-version-of-the-rpg/1100-6534954/   Cody – I have always wanted to play these star wars games, now I can? https://www.timeextension.com/news/2025/09/these-new-snes-rom-hacks-aim-to-make-the-super-star-wars-trilogy-a-whole-lot-fairer  Tim – New Arcade Archive games come to consoles. Master of Weapon, Growl, Fighting Hawk, Crime City and more..  10 More Arcade Archives Games From Taito Are 30% Off Right Now   Cody – ASCII Art Lovers Might Enjoy this one  https://www.retronews.com/effulgence-rpg-steam/  Eric - Dreamcast Arcade Romp Shadow Gangs Gets Reprint - Retro News  https://www.retronews.com/shadow-gangs-reprint/  Cody – A new virtual Boy...kinda.  https://www.nintendolife.com/news/2025/09/icymi-if-you-want-to-play-virtual-boy-classics-youll-need-to-buy-one-of-nintendos-accessories  Tim – New Lego Gameboy, out now (when this is released!)  https://www.lego.com/en-gb/product/game-boy-72046  Cody – New Halloween Game for October? https://www.retronews.com/halloween-1985-next-month/  Eric - Rayman Leaps Back Onto GBC With New Chromatic Release - Retro News  https://www.retronews.com/rayman-leaps-onto-gbc/  Cody – “MegaVania?”  Now that is my kinda game! https://www.timeextension.com/news/2025/09/castlevania-inspired-spine-lasher-is-a-megavania-not-a-metroidvania  Eric - Now in orange!!!  https://www.timeextension.com/news/2025/09/8bitdo-is-releasing-its-pro-3-in-spice-orange-to-match-your-beloved-gamecube   Cody – Pretty cool new C64 Title  https://www.indieretronews.com/2025/09/death-sector-rather-decent-sci-fi.html#more   News of the weird - https://www.timeextension.com/news/2025/09/random-c64-and-spectrum-fragrances-are-coming-this-christmas-and-they-dont-smell-like-body-odour-and-sweaty-socks  https://retrododo.com/campbells-team-up-with-pokemon-for-a-competition-to-soup-up-your-game-room/    Please give us a review on Apple Podcasts! Thanks for listening! You can always reach us at podcast@pixelgaiden.com. Send us an email if we missed anything in the show notes you need. You can now support us on Patreon.  Thank you to Roy Fielding, Daniel James, 10MARC, Eric Sandgren, Brian Arsenault, Retro Gamer Nation, Maciej Sosnowski, Paradroyd, RAM OK ROM OK, Mitsoyama, David Vincent, Ant Stiller, Mr. Toast, Jason Holland, Mark Scott, Vicky Lamburn, Mark Richardson, Scott Partelow, Paul Jacobson, Steve Rasmussen, Steve Rasmussen's Mom, Retro Gamer Nation, Peter Price, Brett Alexander, Jason Warnes, Josh Malone (48kram), AndrewSan, Joe Ochwat, John Shawler, and Adam from Commodore Chronicles for making this show possible through their generous donation to the show.

What if a better‑translating mix starts before you touch a single channel plugin? I put top‑down mixing under the microscope and share a candid, first‑hand evaluation: what worked, what didn't, and how a few smart moves on the mix bus reshaped the entire project in less time and with fewer plugins. Rather than a tutorial, this is a field report packed with practical takeaways you can try on your next session.I begin by setting a clear vision using references—one in the same key for tonal and energy alignment—and a bounced static mix for instant AB checks. From there, we build a lean, disciplined master bus chain: gentle resonance control, broad‑stroke EQ shelves, an SSL‑style bus compressor, and subtle tape saturation. Those small, wide moves made a big difference early, tightening low‑end focus and smoothing top‑end glare while preserving macro and microdynamics. With the canvas set, we move through subgroups—kick and bass, drums, synths, vocals, FX—pushing fixes upstream and only dropping to track level for surgical EQ where it truly matters.Not everything got faster. Saving time on tone and dynamics meant time‑based effects arrived later, and finding the right reverb balance took more iteration than usual—proof that arrangement and spatial design can complicate a top‑down flow. Still, automation needs dropped thanks to better macro balance, CPU use fell with fewer chains, and translation improved across volumes. You'll hear why starting at the mix bus can prevent “getting stuck in the weeds,” how to pick effective reference tracks, and when to abandon restraint for a precise channel tweak.Suppose you're curious about master bus processing, top‑down mixing, and faster decision‑making without sacrificing quality. In that case, this session offers a straight‑talk guide to trying it responsibly on your own productions before rolling it out for clients. Listen, steal the framework, then run your own experiment—and tell me what you discover. Links mentioned in this episode:Listen to Narcissist THE UNSEEN DANGERS OF TOP-DOWN MIXINGWhere Top-Down Goes WRONGTOP DOWN MIXING - the SECRET SAUCEWhy Top-Down Mixing is the GOATTop-Down Mixing: The Secret To Better FASTER Mixes?Send me a message Support the showWays to connect with Marc: Radio-ready mixes start here - get the FREE weekly tips Book your FREE Music Breakthrough Strategy Call Follow Marc's Socials: Instagram | YouTube | Synth Music Mastering Thanks for listening!! Try Riverside for FREE

Have you ever wondered where all your digital memories, work projects, or favorite photos actually live in the cloud?   In this episode, Lois Houston and Nikita Abraham are joined by Principal OCI Instructor Orlando Gentil to discuss cloud storage.   They explore how data is carefully organized, the different ways it can be stored, and what keeps it safe and easy to find.   Cloud Tech Jumpstart: https://mylearn.oracle.com/ou/course/cloud-tech-jumpstart/152992   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ------------------------------------------------------   Episode Transcript:    00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Nikita: Welcome to the Oracle University Podcast! I'm Nikita Abraham, Team Lead of Editorial Services with Oracle University, and with me is Lois Houston, Director of Innovation Programs. Lois: Hey there! Last week, we spoke about the differences between traditional and cloud data centers, and covered components like CPU, RAM, and operating systems. If you haven't listened to the episode yet, I'd suggest going back and listening to it before you dive into this one.  Nikita: Joining us again is Orlando Gentil, Principal OCI Instructor at Oracle University, and we're going to ask him about another fundamental concept: storage. 01:04 Lois: That's right, Niki. Hi Orlando! Thanks for being with us again today. You introduced cloud data centers last week, but tell us, how is data stored and accessed in these centers?  Orlando: At a fundamental level, storage is where your data resides persistently. Data stored on a storage device is accessed by the CPU and, for specialized tasks, the GPU. The RAM acts as a high-speed intermediary, temporarily holding data that the CPU and the GPU are actively working on. This cyclical flow ensures that applications can effectively retrieve, process, and store information, forming the backbone for our computing operations in the data center. 01:52 Nikita: But how is data organized and controlled on disks? Orlando: To effectively store and manage data on physical disks, a structured approach is required, which is defined by file systems and permissions. The process began with disks. These are the raw physical storage devices. Before data can be written to them, disks are typically divided into partitions. A partition is a logical division of a physical disk that acts as if it were a separated physical disk. This allows you to organize your storage space and even install multiple operating systems on a single drive. Once partitions are created, they are formatted with a file system. 02:40 Nikita: Ok, sorry but I have to stop you there. Can you explain what a file system is? And how is data organized using a file system?  Orlando: The file system is the method and the data structure that an operating system uses to organize and manage files on storage devices. It dictates how data is named, is stored, retrieved, and managed on the disk, essentially providing the roadmap for data. Common file systems include NTFS for Windows and ext4 or XFS for Linux. Within this file system, data is organized hierarchically into directories, also known as folders. These containers help to logically group related files, which are the individual units of data, whether they are documents, images, videos, or applications. Finally, overseeing this entire organization are permissions.  03:42 Lois: And what are permissions? Orlando: Permissions define who can access a specific files and directories and what actions they are allowed to perform-- for example, read, write, or execute. This access control, often managed by user, group, and other permissions, is fundamental for security, data integrity, and multi-user environments within a data center.  04:09 Lois: Ok, now that we have a good understanding of how data is organized logically, can we talk about how data is stored locally within a server?   Orlando: Local storage refers to storage devices directly attached to a server or computer. The three common types are Hard Disk Drive. These are traditional storage devices using spinning platters to store data. They offer large capacity at a lower cost per gigabyte, making them suitable for bulk data storage when high performance isn't the top priority. Unlike hard disks, solid state drives use flash memory to store data, similar to USB drives but on a larger scale. They provide significantly faster read and write speeds, better durability, and lower power consumption than hard disks, making them ideal for operating systems, applications, and frequently accessed data. Non-Volatile Memory Express is a communication interface specifically designed for solid state that connects directly to the PCI Express bus. NVME offers even faster performance than traditional SATA-based solid state drives by reducing latency and increasing bandwidth, making it the top choice for demanding workloads that require extreme speed, such as high-performance databases and AI applications. Each type serves different performance and cost requirements within a data center. While local storage is essential for immediate access, data center also heavily rely on storage that isn't directly attached to a single server.  05:59 Lois: I'm guessing you're hinting at remote storage. Can you tell us more about that, Orlando? Orlando: Remote storage refers to data storage solutions that are not physically connected to the server or client accessing them. Instead, they are accessed over the network. This setup allows multiple clients or servers to share access to the same storage resources, centralizing data management and improving data availability. This architecture is fundamental to cloud computing, enabling vast pools of shared storage that can be dynamically provisioned to various users and applications. 06:35 Lois: Let's talk about the common forms of remote storage. Can you run us through them? Orlando: One of the most common and accessible forms of remote storage is Network Attached Storage or NAS. NAS is a dedicated file storage device connected to a network that allows multiple users and client devices to retrieve data from a centralized disk capacity. It's essentially a server dedicated to serving files. A client connects to the NAS over the network. And the NAS then provides access to files and folders. NAS devices are ideal for scenarios requiring shared file access, such as document collaboration, centralized backups, or serving media files, making them very popular in both home and enterprise environments. While NAS provides file-level access over a network, some applications, especially those requiring high performance and direct block level access to storage, need a different approach.  07:38 Nikita: And what might this approach be?  Orlando: Internet Small Computer System Interface, which provides block-level storage over an IP network. iSCSI or Internet Small Computer System Interface is a standard that allows the iSCSI protocol traditionally used for local storage to be sent over IP networks. Essentially, it enables servers to access storage devices as if they were directly attached even though they are located remotely on the network.  This means it can leverage standard ethernet infrastructure, making it a cost-effective solution for creating high performance, centralized storage accessible over an existing network. It's particularly useful for server virtualization and database environments where block-level access is preferred. While iSCSI provides block-level access over standard IP, for environments demanding even higher performance, lower latency, and greater dedicated throughput, a specialized network is often deployed.  08:47 Nikita: And what's this specialized network called? Orlando: Storage Area Network or SAN. A Storage Area Network or SAN is a high-speed network specifically designed to provide block-level access to consolidated shared storage. Unlike NAS, which provides file level access, a SAN presents a storage volumes to servers as if they were local disks, allowing for very high performance for applications like databases and virtualized environments. While iSCSI SANs use ethernet, many high-performance SANs utilize fiber channel for even faster and more reliable data transfer, making them a cornerstone of enterprise data centers where performance and availability are paramount. 09:42 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest technology. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 10:26 Nikita: Welcome back! Orlando, are there any other popular storage paradigms we should know about? Orlando: Beyond file level and block level storage, cloud environments have popularized another flexible and highly scalable storage paradigm, object storage.  Object storage is a modern approach to storing data, treating each piece of data as a distinct, self-contained unit called an object. Unlike file systems that organize data in a hierarchy or block storage that breaks data into fixed size blocks, object storage manages data as flat, unstructured objects. Each object is stored with unique identifiers and rich metadata, making it highly scalable and flexible for massive amounts of data. This service handles the complexity of storage, providing access to vast repositories of data. Object storage is ideal for use cases like cloud-native applications, big data analytics, content distribution, and large-scale backups thanks to its immense scalability, durability, and cost effectiveness. While object storage is excellent for frequently accessed data in rapidly growing data sets, sometimes data needs to be retained for very long periods but is accessed infrequently. For these scenarios, a specialized low-cost storage tier, known as archive storage, comes into play. 12:02 Lois: And what's that exactly? Orlando: Archive storage is specifically designed for long-term backup and retention of data that you rarely, if ever, access. This includes critical information, like old records, compliance data that needs to be kept for regulatory reasons, or disaster recovery backups. The key characteristics of archive storage are extremely low cost per gigabyte, achieved by optimizing for infrequent access rather than speed. Historically, tape backup systems were the common solution for archiving, where data from a data center is moved to tape. In modern cloud environments, this has evolved into cloud backup solutions. Cloud-based archiving leverages high-cost, effective during cloud storage tiers that are purpose built for long term retention, providing a scalable and often more reliable alternative to physical tapes. 13:05 Lois: Thank you, Orlando, for taking the time to talk to us about the hardware and software layers of cloud data centers. This information will surely help our listeners to make informed decisions about cloud infrastructure to meet their workload needs in terms of performance, scalability, cost, and management.  Nikita: That's right, Lois. And if you want to learn more about what we discussed today, head over to mylearn.oracle.com and search for the Cloud Tech Jumpstart course.  Lois: In our next episode, we'll take a look at more of the fundamental concepts within modern cloud environments, such as Hypervisors, Virtualization, and more. I can't wait to learn more about it. Until then, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 13:47 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

Si tienes un servidor Linux expuesto a Internet, ya sea un VPS o una Raspberry Pi alojando tus servicios Docker, este es un episodio que no te puedes saltar. Detrás de ese proxy inverso (Traefik es mi elección), se esconde un tráfico que rara vez revisamos, y te aseguro que no todo el mundo tiene buenas intenciones.Tras un incidente reciente que me obligó a abrir mi servidor al mundo (y no solo a España, como lo tenía restringido inicialmente), la cantidad de visitantes desconocidos y peticiones curiosas que encontré me hizo poner manos a la obra. No es solo un tema de seguridad; es de recursos.Cada visita cuesta. Sí, has oído bien. Cada interacción con tu servidor requiere un gasto de CPU y memoria RAM. Los bots y scanners que buscan vulnerabilidades o hacen peticiones inútiles están consumiendo silenciosamente la capacidad de tu sistema, dejando menos para tus visitas de calidad (las que realmente quieres). Es esencial saber quién te visita, dónde va, y con qué intenciones, para poder actuar y liberar esos recursos.Mi objetivo, como siempre en atareao con Linux, era encontrar una solución de código abierto que fuera sencilla de implementar y, crucialmente, que no se llevara por delante todos los recursos de mi propio servidor.El punto de partida de la investigación es siempre el access.log de Traefik, que es el registro fundamental de todas las peticiones.Estuve probando distintas combinaciones, incluyendo algunas pesadas y complejas, como:Vector, Prometheus, Grafana y Loki.Vector, Victorialogs, Grafana y Loki.Si bien estas son soluciones potentes, su complejidad y el alto consumo de recursos me hicieron descartarlas. La solución no debe ser un problema de rendimiento en sí misma.Finalmente, di con la combinación que es simple, eficiente y con la que estoy realmente enamorado por su facilidad de uso e implementación.Vector es la herramienta clave para recopilar, transformar y enrutar todos tus logs, métricas y trazas. Es de código abierto, hasta 10 veces más rápido que cualquier alternativa y es lo que me permite un enriquecimiento de datos sin precedentes.En este episodio aprenderás cómo:Configurar el compose.yml de Vector en tu entorno Docker.Utilizar las Transforms de Vector para parsear los logs de Traefik.Integrar la base de datos GeoIP (GeoLite2-City.mmdb) para geolocalizar la IP de procedencia de cada petición.Enrutar los logs enriquecidos a la base de datos de destino.OpenObserve (O2) es la plataforma de observabilidad nativa de la nube que unifica logs, métricas y trazas en una única interfaz. Es la alternativa que he adoptado a soluciones como ElasticSearch y se ha convertido en una herramienta imprescindible en mi día a día.Es increíblemente sencillo de instalar y configurar (lo tienes funcionando en minutos).Es el lugar donde guardo y analizo toda la información de tráfico y rendimiento de mi infraestructura Docker y Traefik.Te proporciono el código compose.yml para que puedas desplegar esta base de datos en cuestión de minutos y empezar a interactuar con los datos geolocalizados que envía Vector.Además de la solución Vector/OpenObserve, te presento un interesante descubrimiento: el Traefik Log Dashboard. Este proyecto de código abierto (backend en Go, frontend en React) te permite tener información en tiempo real de los logs de Traefik con geolocalización incluida.Monitorización en tiempo real vía WebSocket.Soporte para trazas en tiempo real (OpenTelemetry OTLP).Analíticas completas de tiempos de respuesta, códigos de estado y tasas de solicitud.Más información y enlaces en las notas del episodio

On October 9, 2025, the ACOG released a clinical practice update (CPU) regarding Zouranolone and brexanolone. As postpartum depression is an area of continued research and need for therapeutics, any new clinical practice update on the subject is welcome. So what's new in this update?! Well…the answer will surprise you. Listen in for details on the CPU, and a mini-review of the concerns for Zuranolone. 1. ACOG CPU Oct 9, 2025: Zuranolone and Brexanolone for the Treatment of Postpartum Depression 2. ACOG PA Aug 2023: Zuranolone for the Treatment of Postpartum Depression 3. Clinical Practice Guideline No. 5, Treatment and Management of Mental Health Conditions During Pregnancy and Postpartum (Obstet Gynecol 2023;141:1262–88)STRONG COFFEE PROMO: 20% Off Strong Coffee Company https://strongcoffeecompany.com/discount/CHAPANOSPINOBG

Jeremy and Brett could not make it (not to be confused with renowned British actor Jeremy Brett), but the show must go on! A shorter, and probably worse version, but a version nonetheless.  Some topics still got covered though!Timestamps:00:00 Intro01:18 Patreon02:24 Food with Josh04:18 AMD partners with OpenAI, offers 10% of the company16:14 NVIDIA partners with xAI17:07 Qualcomm acquires Arduino18:37 Synology drops self-branded HDD requirement20:44 be quiet! expands Light Base case lineup22:01 Help us OOBE Wan Kenobi, local accounts are our only hope24:17 MSI says their 800 Series boards are future CPU ready29:46 (In)Security Corner minus Jeremy and Brett36:15 Gaming Quick Hits45:58 Picks of the Week53:51 Outro ★ Support this podcast on Patreon ★

Welcome and Introduction- Will Townsend and Anshel Sag discuss the latest insights on 5G and 6G technologies.- Episode 239 of G2 on 5G, covering six topics in about 20 minutes.AT&T's 5G Standalone Deployment- AT&T declares nationwide 5G standalone deployment on October 8th.- Milestone achievement matching RAN and 5G core infrastructure.- Predictions of innovative services, especially in network slicing.Intel's Node Advancements- Discussion on Panther Lake and Clearwater Forest CPU developments.- Panther Lake running on Intel's new 18A Foundry Fab 52 in Arizona.- Clearwater Forest's 288-core CPU targeting telecom applications.Vodafone's Low Earth Orbit Satellite Research Hub- Launch of the first low earth orbit satellite mobile broadband research hub.- Partnership with AST Space Mobile for non-terrestrial network solutions.- Streamlining testing and validation of hardware and software.Verizon's Acquisition of Starry- Verizon acquires fixed wireless provider Starry.- Potential to grow fixed wireless base to 8-9 million customers.- Leveraging Starry's architecture for cheaper and quicker deployment in urban settings.Verizon CEO Transition- Hans Vestberg's sudden exit as Verizon CEO.- Discussion on the timing and potential reasons for the leadership change.- Comparison with previous CEO transitions and industry performance.AI Deals and Impact on 5G/6G- Analysis of major AI deals, including OpenAI and AMD partnership.- Potential effects on 5G and 6G network architectures and edge computing.- T-Mobile's strategic partnership with OpenAI and implications for the industry.Closing Remarks- Invitation for listeners to provide topics for future podcasts.- Contact information for hosts Will Townsend and Anshel Sag on social media.- Request for listeners to rate and subscribe to the podcast.

Dat de goudprijs door het dak gaat zal je niet ontgaan zijn. De vraag is echter of er nog meer in het vat zit en of het een onderdeel van je beleggingsportefeuille moet zijn. Over dat laat zijn beide experts, Marc Langeveld van het Antaurus AI Tech Fund en Reinder Wietsma van IBS Capital Allies, het eens: ja dat is best verstandig. Marc: "Het is goed als contragewicht in een goed gespreide portefeuille." Dan de vraag of er nog meer in het vat zit. "Ja", zegt Marc. "Landen van wie de buitenlandse tegoeden zijn geconfisqueerd kopen nu goud, als 'hard asset', dat ze in de kluis kunnen leggen. Reinder voegt daaraan toe: "De tendens is toch wel dat de prijs verder omhooggaat. Ons geld verliest z'n waarde, goud beweegt dan juist omhoog." Potentieel om verder te stijgen is er ook als de ECB moet bijspringen om Frankrijk te steunen. Als dat gebeurt, is de kans groot dat goud nog verder zal stijgen. AMD heeft een mooie deal gesloten met OpenAI, die het bedrijf de kans biedt om aan te haken bij concurrent Nvidia. Eerder lukte het om Intel te verslaan met de CPU-chips, nu willen ze Nvidia verslaan met GPU-chips. Of dat gaat lukken zal onder andere afhangen van de software en daarin is Nvidia ijzersterk. Lachende derde zijn in ieder geval de aandeelhouders van Besi, want de koers van dat bedrijf steeg flink op de aankondiging van deze deal. Verder in de podcast aandacht voor de cijfers van Fagron, en komen Microsoft en ASML ter sprake. We behandelen de luisteraarsvragen en de experts geven hun tips. Reinder kiest voor een Nederlands techbedrijf, Marc tipt een ETF met de ISIN-code US85208P8730. Geniet van de podcast! Let op: alleen het eerste deel is vrij te beluisteren. Wil je de hele podcast (luisteraarsvragen en tips) horen, wordt dan Premium lid van BeursTalk. Dat kost slechts 9,95 per maand, 99 euro voor een heel jaar. Abonneren kan hier!See omnystudio.com/listener for privacy information.

Con el inminente fin de soporte para Windows 10, muchos usuarios se encuentran en una encrucijada tecnológica: ¿actualizar a Windows 11 o buscar alternativas? Esta decisión no es trivial y conlleva considerar una serie de pros y contras, así como los requisitos técnicos y herramientas disponibles para facilitar el proceso. Requerimientos Mínimos: Es fundamental recordar los requisitos mínimos oficiales para instalar Windows 11: • CPU: 1 GHz (2 núcleos) • RAM: 4 GB • Almacenamiento: 64 GB • TPM: 2.0 • Secure Boot Estos requisitos son clave para determinar si tu equipo es oficialmente compatible. Rufus como Opción para Bypass: Para aquellos equipos que no cumplen con todos los requisitos mínimos, especialmente el TPM 2.0 y Secure Boot, herramientas como Rufus han emergido como una solución popular. Rufus permite crear medios de instalación de Windows 11 y, en el proceso, ofrece opciones para omitir (bypass) estas verificaciones. Acceso a la web oficial de Rufus:⁠https://rufus.ie/es/⁠

Security researchers have figured out how to break enclaves. Sort of. In papers published this week, two independent groups have revealed their latest exploits, Battering RAM and Wiretap. They both work by attacking memory where encrypted data is stored. Both Intel SGX and AMD SEV-SNP use deterministic encryption to store data in RAM for performance reasons. These attacks can replay the data in plain text form. The catch? You need to have a hardware device, called an interposer, between the CPU and the RAM banks. You also need to watch the RAM in a very specific spot to collect the data. This and more on the Tech Field Day News Rundown with Tom Hollingsworth and Alastair Cooke. Time Stamps: 0:00 - Cold Open1:18 - AMD GPU contract for OpenAI5:40 - ARM case against Qualcomm dismissed10:12 - Future Amazon datacenters in orbit13:59 - Arduino Acquired by Qualcomm18:48 - Walking robots repel iRobot Founder23:04 - Veeam to Buy Securiti?27:27 - Wiretapping Trusted Enclaves35:40 - The Weeks Ahead37:40 - Thanks for Watching the Tech Field Day News RundownFollow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Hello and welcome to Handgun Radio! I'm your host Ryan Michad, Weerd Beard & Co from the wild woods of Central Maine and this is your home for all the news, information and discussion in the handgunning world!   This week, we talk listener entries for the rebuilding your collection episode!   Please check out the Patriot Patch Company for their awesome patches and other high quality  items! Visit www.patriotpatch.co for more information! Cool artist “proof” rendition come along with the latest patch of the month patches!    We are proudly sponsored by VZ Grips! Please go check out all their fantastic products at their website! VZ Grips!  -KFrame Magna Grips   Thank you to all our patreons! Visit us at https://www.patreon.com/handgunradio    Week In Review:    Ryan:  - I didnt do much; geeked out over the Rideout Arsenal episode that just posted! -Checked out T&K Arms in Augusta! A nice, clean, well setup shop that had two friendly Bernese Mountain Dogs to greet the customers! -Found my geek book: What If? Alternate History Timelines. -Robert Redford passes. My favorite movies: Three Days of The Condor; All The Presidents Men; Spy Game   David: Rosh Hashanah started this week. Lots of time at temple Watched Spinal Tap with the kids 3D Print commission, obdurator disks for MadMikes 81mm Mortar Septic issue resolved. New drain field dug.   Oddball: 9mm AR pistol featuring a Stern Defense mag adapter Installed new motherboard, CPU, and RAM in gaming rig   Weerd:   Drink Segment:   Vemont Ice Gin George Dickel 8-year Bourbon  Adjusted Cosmopolitan Food Segment: Aioli Garden Watermelon Rosh Hashannah Challah   Main Topic: Rebuilding Entries   —------------ Listener Myles:   Hi Ryan,   As for my budget rebuild this would be my start.   Building on a budget   Ruger redhawk 4.2” $1399 Ruger mkiv 22/45 $449 Canik mc9 prime $619 optic $300 upgrade from mc9 Canik rival dark side with optic $849 Beretta bobcat $549   Total about $3800 so a little ammo to go with it along with holsters.   —-------------------------------------------------------    Listener Phil:   Hello from the beautiful southwest!   So, I've lost my precious gun collection but got $5,000USD to replace it.  I go to Buds and find an MR-73 with 4” barrel, $3995.   Thank you for your time, you've been great, goodnight everybody!   Well we like options so depending on wind direction, etc maybe this-   Buds again and buy a Colt Commander and a Defender. $900 each. Swap slides and keep the CCO and sell the other one on Gunbroker for about $650.  Buy a S&W .357 4” (19,65 whatever) about $850.    Buy a S&W big bore snub (625,629 whatever) about $900.   So, I'm at $2,150 and GunBroker has the S&W 4506 available for about $1,300 for my hipster want.   Then back to Buds to wrap things up with a S&W Bodyguard 2.0 and a S&W 642 for all my pocket carry needs.  $400 and $450, they zero me out.   But really, if I have nothing but $5K in my hand? MR-73 and all the ammo and cool ass holsters I can think up seems pretty irresistible.   —--------------------------------------------------------------------------------------------------   Listener R:   Ruger Mark IV 22/45 .22LR 4.4" 10rd Pistol, Black - 40190 $330 on buds   TAURUS TX22 $235 on guns.com   S&W Model 460 XVR 8.38" .460 S&W Revolver $1130 on GunBroker   THE NEW THOMPSON CENTER STAINLESS ENCORE/PROHUNTER PISTOL FRAME ONLY $400 on hausofarms   Rost Martin RM1C Black 9mm 4" Barrel 15-Rounds Package $450 grab gun   Hi-Point JXP-10 10mm Pistol 5.2" Threaded Barrel 10rd, Black - JXP10 $166 buds gun shop   $350 ish see some cheaper on buds but all I have had is rock Island tisas girsan that have worked never tried Taylor's and Co or GeForce   

Bienvenidos a atareao con Linux, el podcast de referencia para los entusiastas del OpenSource, Linux, Docker, Podman y todo lo relativo al mundo del self-hosted. Soy atareao, y en este episodio 733 de la Temporada 8, abordamos un problema que causa pesadillas a cualquier administrador de sistemas o desarrollador: la lentitud inexplicable en un servidor con Docker.Hace unas semanas, mi propio sitio web, atareao.es, empezó a arrastrarse. El diagnóstico fue sorprendente: Redis estaba consumiendo la mayoría de los recursos del servidor. Este susto me obligó a buscar una herramienta de monitorización de recursos que fuera ligera, sencilla de implementar y que no consumiera más de lo que monitoriza. Quería dejar de depender de un simple btop y tener un historial de consumo de CPU, memoria y red de mis contenedores.Si tú también gestionas un VPS, un servidor Linux o una Raspberry Pi con Docker y necesitas saber qué contenedor está comiendo tus recursos, este es tu episodio.En mi laboratorio de self-hosted, puse a prueba las soluciones más populares del ecosistema OpenSource para la observabilidad y la gestión de logs y métricas:Grafana + Prometheus + Docker Exporter: Es la opción estándar, pero la encontré demasiado enrevesada y, lo que es peor, consumía demasiados recursos. No cumplía mi requisito de ligereza.OpenObserve + Telegraf: OpenObserve es una gran herramienta que uso para otras tareas de observabilidad. La configuración del agente Telegraf para enviar métricas de Docker fue sencilla, y os muestro mi compose.yml en las notas del podcast. Sin embargo, la visualización gráfica de las métricas de contenedores no terminaba de convencerme.Finalmente, la combinación ganadora para la monitorización de contenedores Docker fue Beszel. Esta herramienta OpenSource es la solución que estaba buscando porque:Es Ligera: Su consumo de recursos es muy bajo, lo que la hace perfecta para entornos con limitaciones de hardware.Es Simple: Tienes todo en uno, desde la recolección de datos hasta las gráficas, y está lista para usarse sin gran configuración.Métricas Clave: Rastrea el historial de uso de CPU, memoria y red para cada contenedor Docker/Podman.Arquitectura Flexible: Su diseño de Hub y Agente permite monitorizar múltiples servidores Linux o VPS desde un único panel.Seguridad: Incluye soporte para OAuth / OIDC (yo lo uso con PocketID), permitiendo desactivar la autenticación por contraseña.Os explico cómo funciona su arquitectura, las métricas compatibles (incluyendo I/O de disco, temperatura y carga promedio del sistema host), y os doy el compose.yml completo para que podáis desplegar Beszel en vuestro entorno de self-hosted en menos de 5 minutos. La instalación es realmente sencilla y no tiene complejidad alguna.Dejar de preocuparte por el consumo de recursos y la lentitud de Docker es posible con la herramienta adecuada. Beszel ofrece el equilibrio perfecto entre potencia, ligereza y sencillez para que siempre sepas quién está consumiendo qué y cuánto en tu infraestructura Linux y Docker.Escucha este episodio para descubrir la combinación de software que te dará la observabilidad que necesitas para mantener tu sistema self-hosted optimizado.Si te ha gustado, no olvides suscribirte a atareao con Linux y compartir este episodio con otros entusiastas del OpenSource y el self-hosted. ¡Un saludo y hasta la próxima!Más información y enlaces en las notas del episodio

Surya, a tech historian, buys an old Sun workstation at a garage sale, expecting a working example of a CPU her grandmother designed, not secrets. Accidentally left on the drive are two files of NASA's lost Voyager 2 data. When she attempts to learn about the workstation's history by contacting a name she discovers in one of the files, she attracts unwanted attention: break-ins, shadowy men, and veiled threats. She eventually tracks down Mark Danforth, a retired engineer now fading into dementia, who may hold the key. But someone will do anything to keep the files she has discovered buried. CONNECT WITH US makeshiftstories@gmail.com SHARE THE PODCAST If you liked this episode, tell your friends to head over to Apple Podcasts and subscribe. CREDITS Written by Vern Hume (AKA Alan V Hare). Read by Kathleen Connelly. Opening and closing were composed and created by Matthew Erdmann. Produced by Vecada Studios. Makeshift Stories is released under a creative commons non-commercial attribution, no derivative license.

Timestamps: 0:00 hit the 'Links with some bros 0:15 Windows 7 'market share' spike 2:02 OpenAI's new 'Sora' video slop app 3:31 Meta training on AI chat data 4:17 Gemini for Home, Nothing AI app store 5:05 War Thunder! 5:47 QUICK BITS INTRO 5:57 UK demands Apple backdoor again 6:49 Xbox Game Pass price hike, 1440p cloud gaming 7:37 Qualcomm wins against Arm again in court 8:12 new Intel Arc drivers help CPU overhead issue 8:57 Charlotte home-building spider robot NEWS SOURCES: https://lmg.gg/plguB Learn more about your ad choices. Visit megaphone.fm/adchoices

¡Apple sorprendido! Se filtra el iPad Pro M5 antes de su anuncio oficial. En este episodio te contamos todos los detalles sobre el nuevo iPad Pro M5, los cambios respecto al M4, benchmarks, batería, RAM, diferencias gráficas ¡y analizamos lo que implican para el futuro de la gama Pro! NUEVO iPAD PRO M5 FILTRADO ANTES DE SU PRESENTACIÓN ✅ Unboxing completo del iPad Pro M5 antes que Apple ✅ iPadOS 26 preinstalado ✅ Chip Apple Silicon M5 de nueva generación ✅ Más RAM en modelos base: ahora 12GB ✅ Mejora en benchmarks: +10% mono-núcleo, +15% multi-núcleo ✅ Gráficos un 34% mejores en Metal ✅ ¿Sin cambios de diseño? Solo detallitos en la trasera ✅ ¿Pequeña actualización o salto importante en el ecosistema Pro? COMPARATIVA iPAD PRO M4 VS M5 Batería fabricada en agosto 2025 ⚡ CPU de 4.42 GHz (vs 4.41 GHz en M4) Misma estética, ¿nuevo corazón? AnTuTu: +8% en potencia gráfica respecto al M4 ¿Todos los modelos con más RAM o solo los base? LÍNEA DE TIEMPO (EPISODIO DE 1 HORA): 00:00 Introducción y contexto 10:00 Unboxing, primeras impresiones y credibilidad 20:00 Detalles técnicos chip M5, RAM, diseño 28:00 iPadOS 26 y experiencia de usuario 36:00 Resultados benchmarks (Geekbench, AnTuTu, Metal) 42:00 Impacto en creatividad, productividad y gaming 48:00 Opinión Applelianos: ¿merece la pena este M5? 53:00 Rumores lanzamiento, precios y futuro gama Pro 57:00 Preguntas de la audiencia y cierre PARTICIPA EN DIRECTO Deja tu opinión en los comentarios, haz preguntas y sé parte de la charla más importante sobre el futuro del iPad y del ecosistema Apple. ¡Tu voz cuenta! ¿TE GUSTÓ EL EPISODIO? ✨ Dale LIKE SUSCRÍBETE y activa la campanita para no perderte nada COMENTA qué mejora del iPad Pro M5 te parece más relevante COMPARTE con tus amigos applelianos SÍGUENOS EN TODAS NUESTRAS PLATAFORMAS: YouTube: Applelianos Podcast Telegram: https://t.me/+Jm8IE4n3xtI2Zjdk X (Twitter): @ApplelianosPod Facebook: facebook.com/applelianos Apple Podcasts: Applelianos Podcast PATROCINADO POR SEOXAN Optimización SEO profesional para tu negocio https://seoxan.es https://uptime.urtix.es #iPadProM5 #AppleM5 #Applelianos #FiltraciónApple #UnboxingiPad #iPadOS26 #AppleSilicon #Geekbench #Apple2025 #PodcastApple #TecnologíaApple #iPadProM4 #ComparativaApple #AppleNews #Metal #AnTuTu #RAMiPad #ReviewiPad #NuevoiPadPro #ApplePodcast #iPadProReview

professorjrod@gmail.comWhat if the real cause of your random reboots isn't the GPU at all—but the power plan behind it? We take you end to end through a stability-first build, starting with the underrated hero of every system: clean, properly sized power. You'll learn how to calculate wattage with 25–30% headroom, navigate 80 Plus efficiency tiers, and safely adopt ATX 3.0 with the 12VHPWR connector—no sharp bends, modular cable sanity, and the UPS/surge stack that prevents nasty surprises when the lights flicker.From there, we shift into storage strategy that balances speed and safety. HDD, SATA SSD, and NVMe each earn their place, and we break down RAID 0/1/5/6/10 in plain language so you can pick the right array for your workload. We underline a hard truth: RAID protects against disk failure, not human error, so versioned offsite backups remain non-negotiable. Real-world stories—including a painful RAID 5 rebuild gone wrong—highlight why RAID 6 and RAID 10 matter for bigger or busier systems.Memory and CPU round out the backbone. We simplify DDR4 vs DDR5, explain how frequency and CAS affect real latency, and show why matched pairs and dual channel deliver the performance you paid for. You'll get quick wins like enabling XMP/EXPO, when ECC is worth it, and how to troubleshoot training hiccups. Then we open the CPU: cores, threads, cache, sockets, chipsets, and why firmware comes before hardware when upgrades fail to post. Cooling decisions—air, AIO, or custom—tie directly to performance ceilings, along with safe overclock/undervolt practices and thermal targets under sustained load.By the end, you'll have a practical checklist to build smarter, troubleshoot faster, and feel ready for the CompTIA A+ exam: power headroom, cable stewardship, airflow planning, RAID with backups, memory matching, BIOS compatibility, and validation testing. If this guide helps you ship a rock-solid PC, share it with a friend, leave a quick review, and hit follow so you never miss the next masterclass.Support the showIf you want to help me with my research please e-mail me.Professorjrod@gmail.comIf you want to join my question/answer zoom class e-mail me at Professorjrod@gmail.comArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

AI networks are driving dramatic changes in data center design, especially around power, cooling, and connectivity. Modern GPU-powered AI data centers require far more energy and generate much more heat than traditional CPU-based setups, pushing cabinets to new power densities and necessitating advanced cooling solutions like liquid direct-to-chip cooling. These environments also demand significantly more fiber cabling to handle increased data flows, with deeper cabinets and complex layouts that make traditional rear-access cabling impractical.

Cerebrium is a serverless AI infrastructure platform orchestrating CPU and GPU compute for companies building voice agents, healthcare AI systems, manufacturing defect detection, and LLM hosting. The company operates across global markets handling data residency constraints from GDPR to Saudi Arabia's data sovereignty requirements. In a recent episode of Category Visionaries, I sat down with Michael Louis, Co-Founder & CEO of Cerebrium, to explore how they built a high-performance infrastructure business serving enterprise customers with high five-figure to six-figure ACVs while maintaining 99.9%+ SLA requirements. Topics Discussed: Building AI infrastructure before the GPT moment and strategic patience during the hype cycle Scaling a distributed engineering team between Cape Town and NYC with 95% South African talent Partnership-driven revenue generation producing millions in ARR without traditional sales teams AI-powered market engineering achieving 35% LinkedIn reply rates through competitor analysis Technical differentiation through cold start optimization and network latency improvements Revenue expansion through global deployment and regulatory compliance automation GTM Lessons For B2B Founders: Treat go-to-market as a systems engineering problem: Michael reframed traditional sales challenges through an engineering lens, focusing on constraints, scalability, and data-driven optimization. "I try to reframe my go to market problem as an engineering one and try to pick up, okay, like what are my constraints? Like how can I do this, how can it scale?" This systematic approach led to testing 8-10 different strategies, measuring conversion rates, and building automated pipelines rather than relying on manual processes that don't scale. Structure partnerships for partner success before revenue sharing: Cerebrium generates millions in ARR through partners whose sales teams actively upsell their product. Their approach eliminates typical partnership friction: "We typically approach our partners saying like, look, you keep the money you make, we'll keep the money we make. If it goes well, we can talk about like rev share or some other agreement down the line." This removes commission complexity that kills B2B partnerships and allows partners to focus on customer value rather than internal revenue allocation conflicts. Build AI-powered competitive intelligence for outbound at scale: Cerebrium's 35% LinkedIn reply rate comes from scraping competitor followers and LinkedIn engagement, running prospects through qualification agents that check funding status, ICP fit, and technical roles, then generating personalized outreach referencing specific interactions. "We saw you commented on Michael's post about latency in voice. Like, we think that's interesting. Like, here's a case study we did in the voice space." The system processes thousands of prospects while maintaining personalization depth that manual processes can't match. Position infrastructure as revenue expansion, not cost optimization: While dev tools typically focus on developer productivity gains, Cerebrium frames their value proposition around market expansion and revenue growth. "We allow you to deploy your application in many different markets globally... go to market leaders love us and sales leaders because again we open up more markets for them and more revenue without getting their tech team involved." This messaging resonates with revenue stakeholders and justifies higher spending compared to pure cost-reduction positioning. Weaponize regulatory complexity as competitive differentiation: Cerebrium abstracts data sovereignty requirements across multiple jurisdictions - GDPR in Europe, data residency in Saudi Arabia, and other regional compliance frameworks. "As a company to build the infrastructure to have data sovereignty in all these companies and markets, it's a nightmare." By handling this complexity, they create significant switching costs and enable customers to expand internationally without engineering roadmap dependencies, making them essential to sales teams pursuing global accounts.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM   

Voices of Oxide on the pod! Cliff Biffle (engineer), Dave Pacheco (engineer), and Ben Leonard (designer) are on the show today. Jerod and I were invited to Oxide's annual internal conference called OxCon to meet the people and to hear the stories of what makes Oxide a truly special place to work right now. Cliff Biffle is working on all Hubris and firmware. Cliff says "There's a lot that happens before the 'main CPU' can even power on." Dave Pacheco is leading the efforts on Oxide's "Update" system. And Ben Leonard in charge of all things brand and design at Oxide.

Scriv's CPU is busted, so today's episode we bring you a conversation on how to bring characters to life! We'll talk therapy for Batman, whether there even IS a One Piece, whether we're "Pantsers" or "Plotters," and even about how the plot of Transdimensional High developed from the main characters!

Elizabeth Figura, a Wine Developer at CodeWeavers, speaks with SE Radio host Jeremy Jung about the Wine compatibility layer and the Proton distribution. They discuss a wide range of details including system calls, what people run with Wine, how games are built differently, conformance and regression testing, native performance, emulating a CPU vs emulating system calls, the role of the Proton downstream distribution, improving Wine compatibility by patching the Linux kernel and other related projects, Wine's history and sustainment, the Crossover commercial distribution, porting games without source code, loading executables and linked libraries, the difference between user space and kernel space, poor Windows API documentation and use of private APIs, debugging compatibility issues, and contributing to the project. This episode is sponsored by Monday Dev

Paul Thurrott reports live from Maui with exciting details on Qualcomm's next-gen Snapdragon X2 Elite chip and how it could shake up the PC world, while behind the scenes, Microsoft quietly drifts further from OpenAI just as an NVIDIA mega-deal makes headlines. Is Windows about to get its biggest reboot in years, and can ARM finally topple Intel? Windows 25H2 is imminent: The real ISOs and eKBs are here! Paul's Arm-based trip to Mexico and Arm-based Apple-tastic experience at Snapdragon Summit And yet. It's Week D. And we didn't get any preview updates (for 24H2) Windows AI Labs is a thing If you're migrating from Windows 10 get a Windows 11 on Arm PC, Microsoft suggests New AI features coming to Notepad, Paint, and Snipping Tool New Dev and Beta (and Canary) builds: Click to Do translation, Share with Copilot, Accounts management improvements AI The Microsoft/OpenAI rift widens yet again NVIDIA invests $100 billion in OpenAI, days after "investing" $5 billion in Intel Intel will keep making its own GPUs because who gives a crap Microsoft is bringing Anthropic Claude to Microsoft 365 Copilot - "Model choice" Microsoft reportedly trying to pay publishers for content used by AI Microsoft Teams is getting more agents Google Chrome is getting a major AI update Snapdragon Summit 2025 6G, AI as the new UI, glasses as the next wave, Android PCs out of nowhere X2 Elite and X2 Elite Extreme (with up to 18 cores for ultra-premium PCs) 3rd Gen Oryon CPU (X2 was 1st gen, last year's phone chip was G2) 75 percent faster CPU perf than competition at ISO power First Arm chip to hit 5+ GHz New Adreno GPU architecture with 2.3x perf per watt and power efficiency over previous gen Hexagon NPU with 80 TOPS for "concurrent AI experiences" on Copilot+ PCs Supports latest 5G SD X75 modem, Wi-Fi 7, BT 5.4 75 percent faster CPU perf than competition at ISO power Bad news: First half of 2026 availability Not in the press release: The secret of why X2 Elite Extreme is so fast Xbox Microsoft raises Xbox console prices for the second time in 2025 Here comes the Gaming Copilot on Windows 11 Google is copying it on Android and bringing Android and native games to Windows now Tips and Picks Tip of the week: Think of 1 story for everyone you care about App pick of the week: Notion 3.0 RunAs Radio this week: Managing Vendor Incidents with Mandi Walls Brown liquor pick of the week: High Coast Whisky Quercus IV Mongolica Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit uscloud.com cachefly.com/twit

Paul Thurrott reports live from Maui with exciting details on Qualcomm's next-gen Snapdragon X2 Elite chip and how it could shake up the PC world, while behind the scenes, Microsoft quietly drifts further from OpenAI just as an NVIDIA mega-deal makes headlines. Is Windows about to get its biggest reboot in years, and can ARM finally topple Intel? Windows 25H2 is imminent: The real ISOs and eKBs are here! Paul's Arm-based trip to Mexico and Arm-based Apple-tastic experience at Snapdragon Summit And yet. It's Week D. And we didn't get any preview updates (for 24H2) Windows AI Labs is a thing If you're migrating from Windows 10 get a Windows 11 on Arm PC, Microsoft suggests New AI features coming to Notepad, Paint, and Snipping Tool New Dev and Beta (and Canary) builds: Click to Do translation, Share with Copilot, Accounts management improvements AI The Microsoft/OpenAI rift widens yet again NVIDIA invests $100 billion in OpenAI, days after "investing" $5 billion in Intel Intel will keep making its own GPUs because who gives a crap Microsoft is bringing Anthropic Claude to Microsoft 365 Copilot - "Model choice" Microsoft reportedly trying to pay publishers for content used by AI Microsoft Teams is getting more agents Google Chrome is getting a major AI update Snapdragon Summit 2025 6G, AI as the new UI, glasses as the next wave, Android PCs out of nowhere X2 Elite and X2 Elite Extreme (with up to 18 cores for ultra-premium PCs) 3rd Gen Oryon CPU (X2 was 1st gen, last year's phone chip was G2) 75 percent faster CPU perf than competition at ISO power First Arm chip to hit 5+ GHz New Adreno GPU architecture with 2.3x perf per watt and power efficiency over previous gen Hexagon NPU with 80 TOPS for "concurrent AI experiences" on Copilot+ PCs Supports latest 5G SD X75 modem, Wi-Fi 7, BT 5.4 75 percent faster CPU perf than competition at ISO power Bad news: First half of 2026 availability Not in the press release: The secret of why X2 Elite Extreme is so fast Xbox Microsoft raises Xbox console prices for the second time in 2025 Here comes the Gaming Copilot on Windows 11 Google is copying it on Android and bringing Android and native games to Windows now Tips and Picks Tip of the week: Think of 1 story for everyone you care about App pick of the week: Notion 3.0 RunAs Radio this week: Managing Vendor Incidents with Mandi Walls Brown liquor pick of the week: High Coast Whisky Quercus IV Mongolica Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit uscloud.com cachefly.com/twit

Paul Thurrott reports live from Maui with exciting details on Qualcomm's next-gen Snapdragon X2 Elite chip and how it could shake up the PC world, while behind the scenes, Microsoft quietly drifts further from OpenAI just as an NVIDIA mega-deal makes headlines. Is Windows about to get its biggest reboot in years, and can ARM finally topple Intel? Windows 25H2 is imminent: The real ISOs and eKBs are here! Paul's Arm-based trip to Mexico and Arm-based Apple-tastic experience at Snapdragon Summit And yet. It's Week D. And we didn't get any preview updates (for 24H2) Windows AI Labs is a thing If you're migrating from Windows 10 get a Windows 11 on Arm PC, Microsoft suggests New AI features coming to Notepad, Paint, and Snipping Tool New Dev and Beta (and Canary) builds: Click to Do translation, Share with Copilot, Accounts management improvements AI The Microsoft/OpenAI rift widens yet again NVIDIA invests $100 billion in OpenAI, days after "investing" $5 billion in Intel Intel will keep making its own GPUs because who gives a crap Microsoft is bringing Anthropic Claude to Microsoft 365 Copilot - "Model choice" Microsoft reportedly trying to pay publishers for content used by AI Microsoft Teams is getting more agents Google Chrome is getting a major AI update Snapdragon Summit 2025 6G, AI as the new UI, glasses as the next wave, Android PCs out of nowhere X2 Elite and X2 Elite Extreme (with up to 18 cores for ultra-premium PCs) 3rd Gen Oryon CPU (X2 was 1st gen, last year's phone chip was G2) 75 percent faster CPU perf than competition at ISO power First Arm chip to hit 5+ GHz New Adreno GPU architecture with 2.3x perf per watt and power efficiency over previous gen Hexagon NPU with 80 TOPS for "concurrent AI experiences" on Copilot+ PCs Supports latest 5G SD X75 modem, Wi-Fi 7, BT 5.4 75 percent faster CPU perf than competition at ISO power Bad news: First half of 2026 availability Not in the press release: The secret of why X2 Elite Extreme is so fast Xbox Microsoft raises Xbox console prices for the second time in 2025 Here comes the Gaming Copilot on Windows 11 Google is copying it on Android and bringing Android and native games to Windows now Tips and Picks Tip of the week: Think of 1 story for everyone you care about App pick of the week: Notion 3.0 RunAs Radio this week: Managing Vendor Incidents with Mandi Walls Brown liquor pick of the week: High Coast Whisky Quercus IV Mongolica Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit uscloud.com cachefly.com/twit

Can't get enough Linux? How about multiple kernels running simultaneously, side by side, not in a VM, all on the same hardware; this week it's finally looking real.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

We've been tinkering with a lot of esoteric PC hardware stuff lately, so we're here with a roundup on what we've been up to this week that you'll hopefully find informative. We get into Microsoft's crackdown on the vulnerability in FanControl and other popular monitoring software, attempting to corral fan settings in UEFI as an alternative, and doing battle with the dreaded beat frequencies that can result from adjacent fan placement. Brad also gives a full trip report on his attempt to power a stack of hard drives with an external ATX power supply, with a detour into handy tips for de-pinning a modular power supply cable, stacking multiple hard drives, and more. And Will touches on his recent experience building a new studio PC in a rack-mounted case, plus some tidbits about the last electronics flea market of the year, Linux thread scheduling, Brad's first trip to Micro Center, Will's shiny new CRT (yes, another one), and more!Links for this episode:WinRing0: Why Windows is flagging your PC monitoring and fan control apps as a threat: https://www.theverge.com/report/629259/winring0-windows-defender-fan-control-pc-monitoring-alert-quarantineNoctua on fan placement and beat frequencies: https://noctua.at/en/fan-speed-offset-explainedStackable hard drive feet Brad bought: https://sednashop.com/index.php?route=product/product&product_id=95Seasonic pinout and cable compatibility info: https://seasonic.com/cable-compatibility/How to de-pin a power supply cable with two staples: https://www.youtube.com/watch?v=n6gQ5ie2Dw0Brad's NAS/hard drive setup and de-pinned cable: https://imgur.com/a/WKPwhCQ 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