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This week, High Society Radio goes full “Gulag Digital” as Chris Faga and Chris Stanley dive into collapsing social contracts, failed politicians, and the absurd state of modern AI. From Cuomo's alternate universe and Zohran Mamdani's political theatrics to Dick Cheney's final headline, the boys cover politics, tech, and conspiracy in equal measure. There's talk of Gitmo gift shops, AI bubbles bursting, and MrBeast's soul—if he even has one. By the end, it's a philosophical meltdown about who (or what) still has a soul: billionaires, animals, or maybe even LLM's.Topics Include:Gulag DigitalNYC's Mass ExodusOne-Way Ticket to MiamiThe End of the Social ContractA World Where Cuomo WonRIP Dick CheneyDSA as a Real Third PartyMamdani Is a WorkYou Can't Invest in Anything in NYCBig Ups to the Drone GodGitmo Has a Gift ShopMamdani vs Obama SpeechesHating the Mayor Isn't RacistDid Sliwa's Vote Matter?Cheney's Death During Zohran's VoteStory About Zohran's In-LawsCracks in AISoftBank Guy & Michael Burry Shorting AISam Altman: “AI Is Too Big to Fail”ChatGPT Loses Legal & Medical Advice AccessGiant OpenAI DealsGoogle Is Just an Ad FactoryIs the Bubble About to Pop?Redistributing a TrillionMrBeast LandWho Has a Soul: MrBeast, Peter Thiel, or Sam Altman?If the Devil Was RealDON'T FORGET TO WATCH FAGA'S NEW SPECIAL "BURN AFTER SAYING" ON THE HSR YOUTUBE PAGE!https://www.youtube.com/watch?v=TxIHJU2LotUSupport Our Sponsors!https://yokratom.com/ - Check out Yo Kratom (the home of the $60 kilo) for all your kratom needs!Body Brain Coffee: https://bodybraincoffee.com/ - Grab A Bag of Body Brain Coffee with Promo Code HSR20 to get 20% off!https://fatdickhotchocolate.net/ Get you a fat dick at fatdickhotchocolate.netHigh Society Radio is 2 native New Yorkers who started from the bottom and didn't raise up much. That's not the point, if you enjoy a sideways view on technology, current events, or just an in depth analysis of action movies from 2006 this is the show for you.Chris Stanley is the on-air producer for Bennington on Sirius XM.A Twitter Chris Really Likes: https://x.com/stanman42069Chris from Brooklyn is a lifelong street urchin, a former head chef and current retiree.Twitter: https://twitter.com/ChrisFromBklynEngineer: JorgeEditor: TannerInstagram: https://www.instagram.com/lilkinky69/Executive Producer: Mike HarringtonInstagram: https://www.instagram.com/themharrington/Twitter: https://twitter.com/TheMHarringtonSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Tara Sinclair is a professor and chair of the economics department at George Washington University. Tara returns to the show to discuss her ambitious paper simulating an FOMC meeting before it happens with LLM models, the process of building sim FOMC members, the importance of publicly funding economic data, the future of AI and macroeconomics, and much more. Check out the transcript for this week's episode, now with links. Recorded on October 27th, 2025 Subscribe to David's Substack: Macroeconomic Policy Nexus Follow David Beckworth on X: @DavidBeckworth Follow Tara on X: @TaraSinc Follow the show on X: @Macro_Musings Check out our Macro Musings merch! Subscribe to David's new BTS YouTube Channel Timestamps 00:00:00 - Intro 00:01:44 - Data and Policymaking 00:05:28 - Federal Forecasters Conference 00:08:01 - FOMC in Silico 00:32:56 - Future Applications 00:38:29 - Broader Implications 00:42:57 - Central Bank Governance and AI 00:51:40 - Outro
Matthew Bertram brings Rob Neumann on to map how private LLMs, PIM/DAM, and AI-driven search turn messy B2B catalogs into findable, persuasive product experiences that convert. We push leaders to move now on the LLM land grab, unify entities, and align teams to become AI first.• unifying brand, author, and entity signals for clarity• why every business needs an e-commerce path• findability before conversion and product page SEO• persona-based descriptions with private LLMs• PIM/DAM as the enrichment layer above ERP• AI search for exact matches and smart substitutes• channel-aware inventory and safety stock reduction• SKU and vendor normalization for white label margin• CAD, specs, and E‑E‑A‑T for trust and rankings• email fatigue, SMS prompts, and postcard nudges• urgency of the LLM land grab and authority hardeningGuest Contact Information: Website: robneumann.comLinkedIn: linkedin.com/in/robertneumannMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of LLM Visibility™ and the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show
У свіжому дайджесті DOU News поговоримо про падіння акцій GTA 6, угоду Apple з Google та масштабну співпрацю OpenAI з AWS. А ще — про витік коду App Store, нову ШІ-війну між Amazon і Perplexity та інші теми українського ІТ та світового тек-сектору. Таймкоди 00:00 Інтро 00:24 НБУ хоче оподаткувати посилки до €150 02:41 Оборонні компанії зможуть бронювати працівників попри розшук 04:27 «DevOps Engineer» — курс від robot_dreams 05:43 Apple уклала угоду з Google на $1 млрд на рік 08:03 Новий випуск «копінги та допінги» з керівницею Google Україна 08:37 Apple випадково злила код нового App Store 09:58 iOS, iPadOS і macOS змінили Liquid Glass 12:30 Meta заробляє мільярди на шахрайських рекламах у Facebook 14:59 OpenAI уклала угоду з AWS на $38 млрд 16:31 Amazon і Perplexity розпочали війну ШІ-браузерів 18:33 ШІ-браузер Dia отримує найкращі функції Arc 21:37 Акції видавця GTA 6 впали після перенесення релізу 23:33 Нова святкова реклама Coca-Cola створена ШІ 25:47 Приватна компанія запустила власну космічну станцію 28:43 Що цього тижня рекомендує Женя: qqqa — LLM для розробників та подкаст про Rolex
Guest: Ari Herbert-Voss, CEO at RunSybil Topics: The market already has Breach and Attack Simulation (BAS), for testing known TTPs. You're calling this 'AI-powered' red teaming. Is this just a fancy LLM stringing together known attacks, or is there a genuine agent here that can discover a truly novel attack path that a human hasn't scripted for it? Let's talk about the 'so what?' problem. Pentest reports are famous for becoming shelf-ware. How do you turn a complex AI finding into an actionable ticket for a developer, and more importantly, how do you help a CISO decide which of the thousand 'criticals' to actually fix first? You're asking customers to unleash a 'hacker AI' in their production environment. That's terrifying. What are the 'do no harm' guardrails? How do you guarantee your AI won't accidentally rm -rf a critical server or cause a denial of service while it's 'exploring'? You mentioned the AI is particularly good at finding authentication bugs. Why that specific category? What's the secret sauce there, and what's the reaction from customers when you show them those types of flaws? Is this AI meant to replace a human red teamer, or make them better? Does it automate the boring stuff so experts can focus on creative business logic attacks, or is the ultimate goal to automate the entire red team function away? So, is this just about finding holes, or are you closing the loop for the blue team? Can the attack paths your AI finds be automatically translated into high-fidelity detection rules? Is the end goal a continuous purple team engine that's constantly training our defenses? Also, what about fixing? What makes your findings more fixable? What will happen to red team testing in 2-3 years if this technology gets better? Resource: Kim Zetter Zero Day blog EP230 AI Red Teaming: Surprises, Strategies, and Lessons from Google EP217 Red Teaming AI: Uncovering Surprises, Facing New Threats, and the Same Old Mistakes? EP68 How We Attack AI? Learn More at Our RSA Panel! EP71 Attacking Google to Defend Google: How Google Does Red Team
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Why do today's LLMs forget key details over long context, and what would it take to give them real memory that scales? In this episode of Eye on AI, host Craig Smith explores Manifest AI's Power Retention architecture and how it rethinks memory, context, and learning for modern models. We look at why transformers struggle with long inputs, how state space and retention models keep context at linear cost, and how scaling state size unlocks reliable recall across lengthy conversations, code, and documents. We also cover practical paths to retrofit existing transformer models, how in context learning can replace frequent fine tuning, and what this means for teams building agents and RAG systems. Learn how product leaders and researchers measure true long context quality, which pitfalls to avoid when extending context windows, and which metrics matter most for success, including recall consistency, answer fidelity, task completion, CSAT, and cost per resolution. You will also hear how to design per user memory, set governance that prevents regressions, evaluate LLM as judge with human review, and plan a secure rollout that improves retrieval, multi step workflows, and agent reliability across chat, email, and voice. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
A shorter than usual episode about the future of the pod - 2026 and beyond. We will be continuing our support of the Oceania (formerly AusACPDM) conference, the EACD conference and the AACPDM conference in 2026 with in-person, on-site, live broadcasts from Australia, Europe and the Americas!2025 has also seen the team behind the pod launch the ResearchWorks Academy - an entirely FREE online portal for clinicians and researchers, designed to be a one-stop site for all your clinical application needs. You can register today for full access.From AI and ML driven toolsets, to reports, templates, flowcharts, decision trees, outcome measures and more - we are aiming to empower clinicians across the globe with the tools needed to implement evidence based practices. Let us know if you have any suggestions for the site and how we can continue to develop the resources available.On demand courses will also soon launch - we are working with international partners from across the ResearchWorks network to provide the very latest information, courses and educational tools too, so stay tuned!Visit www.researchworks.academy
00:00:00 – Scramble to air: dead car battery tale, housekeeping, and Ken Woods AI-EP status 00:04:54 – "Let's Get the Whole": Star Trek-flavored riff on "Meet Me Halfway" premieres 00:09:48 – Writing the parody: Calgon "take me away" angle, EP direction and tweaks 00:14:49 – Popular Mechanics piece: toward a unified theory of consciousness; EU Human Brain Project backstory 00:19:43 – "Electronic person" policy in EU and LLM introspective awareness experiments (subliminal "bread") 00:24:25 – Black-box LLMs and why self-reports aren't trustworthy; need transparent architectures 00:28:23 – New Yorker debate: "AI is thinking?"—parallels to human cognition and limits 00:32:45 – Embodiment matters: what models lack; scaling limits; why GPT responses "feel" different 00:37:40 – Star Trek's "Measure of a Man": Data's lived experience and the case for embodiment 00:42:01 – Blake Lemoine recap: the Lambda sentience flare-up and Weizenbaum's cautionary lens 00:46:40 – Rights for machines? Dog-level sentience analogy, UBI speculation, EU patents 00:51:34 – J6 pipe-bomber update: gait match claims, LE links, and motives debated 01:04:30 – Pandemic rewind: German PCR/antibody analysis claims and a SNAP/SCOTUS funding skirmish 01:14:06 – Bigfoot on I-80? Road-crossing "glide," possible intangibility; phone lines open 01:19:02 – Caller segment: dogman vs. bigfoot—malevolence, grudges, and one 1996 Glacier NP encounter 01:28:34 – News bed returns; "Penis Man" saga in Phoenix—folk-hero tagging and copycats 01:33:04 – More "Penis Man": suspects, merch, and why the meme spreads 01:37:52 – From tags to treats: Taco Bell's Mountain Dew Baja Blast pie appears 01:42:46 – Would you bring a Baja pie to Friendsgiving? Discord bounty offered 01:47:35 – Stupid criminals: driver tries a Monopoly "Get Out of Jail Free" card 01:57:37 – Viral glassware: that pricey Starbucks seasonal cup rabbit hole 02:00:06 – Wrap and reflections: AI takeaways, Bigfoot vs. dogman, and Baja-pie Thanksgiving dare 02:03:44 – Outro music and sign-off Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research ▀▄▀▄▀ CONTACT LINKS ▀▄▀▄▀ ► Website: http://obdmpod.com ► Twitch: https://www.twitch.tv/obdmpod ► Full Videos at Odysee: https://odysee.com/@obdm:0 ► Twitter: https://twitter.com/obdmpod ► Instagram: obdmpod ► Email: ourbigdumbmouth at gmail ► RSS: http://ourbigdumbmouth.libsyn.com/rss ► iTunes: https://itunes.apple.com/us/podcast/our-big-dumb-mouth/id261189509?mt=2
Thanks to everyone who participated in ACX Grants, whether as an applicant, an evaluator, or a funder. We received 654 applications this year, and were able to fund 42. To the other 612: sorry! Many of you had great ideas that we couldn't fund for contingent reasons - sometimes because we couldn't evaluate them at the level of depth it would have taken to feel comfortable supporting them, or because we had complicated conflicts of interest, or just because we didn't have enough money. Some of you had ideas that were good but not a match for our particular grantmaking philosophy. Finally, a few of you were suffering from LLM psychosis. Please get help. Of the 42 grantees, 40 have answered our email asking for confirmation that they still want the grant. I'm still waiting for confirmation emails from Lewis Wall and Nishank B. If you're reading this and don't think you got a confirmation email, check your spam folder. If it's not in your spam folder, email me at scott@slatestarcodex.com. If you can't reach me or I don't respond, DM me on Substack or Twitter. I'll give you until November 1 to get in touch, after which point the grant will be withdrawn. There are also a few projects so deep in stealth I don't have permission to share their existence; I will mention these as they become public. More information, and the all-important thanks to contributors, are after the list, which is:z https://www.astralcodexten.com/p/acx-grants-results-2025
En 2025 ya se nota que las respuestas de IA están guiando más búsquedas que ir directo a Google, y muchas veces se nutren de tu propio contenido. LLM.txt surge como una convención cada vez más utilizada para indicar a los bots de IA qué pueden hacer con tus páginas, sin reemplazar a robots.txt, sino complementarlo. Tú decides dónde trazar la línea entre visibilidad útil y abuso: qué se puede resumir, cuándo deben citar tu fuente y enlazarla. No se trata de bloquear todo, sino de convertir a las IA en aliadas que descubran tu valor sin perder el control. Y las reglas pueden servir para tres cosas clave: permitir resúmenes con citación, limitar el entrenamiento con tu contenido y exigir cita y enlace cuando se utilice un fragmento.Para verlo en acción, piensa en Verde Viva, una tienda online de jardinería con blog. Definieron un LLM.txt con reglas simples: permitir resúmenes de hasta 120 palabras y exigir un enlace clicable cuando se cite su contenido, manteniendo robots.txt intacto. En un mes empezaron a ver referencias desde asistentes con enlaces y un tráfico de referencia más cualificado, gracias a menciones que enlazan a su fuente. La idea central es clara: una política bien definida no bloquea todo, sino que guía a las IA hacia descubrimiento y atribución, convirtiendo a los asistentes en aliados. ¿Quieres probarlo? Define tu intención de negocio frente a la IA y escribe un primer borrador de LLM.txt con tres reglas básicas: qué se puede resumir, qué queda fuera y cómo debe citarse, y súbelo a la raíz de tu dominio para empezar a monitorizar.Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/seo-para-google--1693061/support.Newsletter Marketing Radical: https://marketingradical.substack.com/welcomeNewsletter Negocios con IA: https://negociosconia.substack.com/welcomeMis Libros: https://borjagiron.com/librosSysteme Gratis: https://borjagiron.com/systemeSysteme 30% dto: https://borjagiron.com/systeme30Manychat Gratis: https://borjagiron.com/manychatMetricool 30 días Gratis Plan Premium (Usa cupón BORJA30): https://borjagiron.com/metricoolNoticias Redes Sociales: https://redessocialeshoy.comNoticias IA: https://inteligenciaartificialhoy.comClub: https://triunfers.com
AI Unraveled: Latest AI News & Trends, Master GPT, Gemini, Generative AI, LLMs, Prompting, GPT Store
AI Weekly News Rundown November 02 to November 09 3025:Welcome to AI Unraveled, Your daily briefing on the real world business impact of AIIn this week's edition:
Do This, NOT That: Marketing Tips with Jay Schwedelson l Presented By Marigold
Marketers keep saying the funnel is dead, but this chat actually explains what changed and what to do about it. You'll hear how to rethink content for 23-word questions, why website traffic is shrinking, and what to build instead, plus a hopeful take on AI that puts humans back in charge. And yes, Jay Schwedelson gets personal with Yamini Rangan about college drop-offs, plants that refuse to live, and the real reason personality now beats playbooks.ㅤFollow Yamini on LinkedIn and explore HubSpot's Loop playbook content and the HubSpot Media Network for practical examples you can borrow.ㅤBest Moments:(02:45) The college drop-off half-tear that turned into a full-on drive-to-the-airport cry.(05:01) Is the funnel dead or just changing shape as HubSpot shifts thinking toward a loop.(06:41) Eight out of ten Google searches end with no click, and what that means for your site.(08:50) Content has to answer specific LLM-level questions with citations and case studies.(12:52) Personality beats generic content as podcasts, YouTube, and newsletters win on trust.(16:15) AI won't replace humans; it finally makes one-to-one personalization at scale real.ㅤCheck out our 100% FREE + VIRTUAL EVENTS! ->Guru Conference - The World's Largest Virtual EMAIL MARKETING Conference - Nov 6-7!Register here: www.GuruConference.comㅤCheck out Jay's YOUTUBE Channel: https://www.youtube.com/@schwedelsonCheck out Jay's TIKTOK: https://www.tiktok.com/@schwedelsonCheck Out Jay's INSTAGRAM: https://www.instagram.com/jayschwedelson/
Adam D'Angelo (Quora/Poe) thinks we're 5 years from automating remote work. Amjad Masad (Replit) thinks we're brute-forcing intelligence without understanding it.In this conversation, two technical founders who are building the AI future disagree on almost everything: whether LLMs are hitting limits, if we're anywhere close to AGI, and what happens when entry-level jobs disappear but experts remain irreplaceable. They dig into the uncomfortable reality that AI might create a "missing middle" in the job market, why everyone in SF is suddenly too focused on getting rich to do weird experiments, and whether consciousness research has been abandoned for prompt engineering.Plus: Why coding agents can now run for 20+ hours straight, the return of the "sovereign individual" thesis, and the surprising sophistication of everyday users juggling multiple AIs. Resources:Follow Amjad on X: https://x.com/amasadFollow Adam on X: https://x.com/adamdangelo Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
New app features: listening history, continue listening, and transcript exports + navigating LLM-induced team drama.Chapters:[00:00] Welcome and business update[02:13] Metacast v1.25 Overview[02:50] New Feature: Listening History[08:08] New Feature: Continue Listening[12:41] New Feature: Exporting Transcripts[20:24] Website outage[22:21] The Pro Tier in v1.26[23:06] Team conflict: LLM miscommunication[31:21] LLM Etiquette in Teams[35:50] Podcast & book recommendations[45:34] P.S. We're YouTube stars (FWIW)LinksMetacast v1.25 blog postPodcasts:Tech Brew Ride Home Oct 16Scott & Mark: The AI productivity trapAmerican GodsThe SandmanDownload the Metacast podcast app for free:iOS: https://apps.apple.com/app/metacast/id6462012536Android: https://play.google.com/store/apps/details?id=app.metacast.podcast.player
** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Learn how Anyscale's Ray platform enables companies like Instacart to supercharge their model training while Amazon saves heavily by shifting to Ray's multimodal capabilities.Topics Include:Ray originated at UC Berkeley when PhD students spent more time building clusters than ML modelsAnyscale now launches 1 million clusters monthly with contributions from OpenAI, Uber, Google, CoinbaseInstacart achieved 10-100x increase in model training data using Ray's scaling capabilitiesML evolved from single-node Pandas/NumPy to distributed Spark, now Ray for multimodal dataRay Core transforms simple Python functions into distributed tasks across massive compute clustersHigher-level Ray libraries simplify data processing, model training, hyperparameter tuning, and model servingAnyscale platform adds production features: auto-restart, logging, observability, and zone-aware schedulingUnlike Spark's CPU-only approach, Ray handles both CPUs and GPUs for multimodal workloadsRay enables LLM post-training and fine-tuning using reinforcement learning on enterprise dataMulti-agent systems can scale automatically with Ray Serve handling thousands of requests per secondAnyscale leverages AWS infrastructure while keeping customer data within their own VPCsRay supports EC2, EKS, and HyperPod with features like fractional GPU usage and auto-scalingParticipants:Sharath Cholleti – Member of Technical Staff, AnyscaleSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
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 "And we talk about that contract. We say, "this is your contract. This Open API definition that you have is the contract for your service." And in the end, that's how customers interact with Azure is through APIs. And so it's important to have that contract so that customers know how things work, how to use them, hopefully how to use them easily, right?"— Mike Kistler 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, we're joined by Mike Kistler to talk about two topics (we usually only tackle one topic per episode, so you're getting a bonus with this episode): Open API and both MCP and the MCP SDK for C#. We started our conversation by focussing on Open API, as this is a passion of Mike's. We talked about what it is, how you've likely already been using it with any ASP .NET Core WebAPIs that you've worked on, and how the latest versions of ASP .NET Core can generate a lot of the Open API specification for you without having to add lots and lots of metadata an attributes. Pro tip: If you've been using the Swagger UI in your applications, you've been using Open API. "And when the LLM decides that it wants to use an MCP tool or access an MCP resource, it doesn't go and do that directly. It comes back to the MCP host and asks the MCP host to call a tool with a particular set of parameters, or to access an MCP resource. And at first, when I saw this in the MCP architecture, I thought, "boy, that's clunky. Why not have the LLM just call these things directly?" And there's a deliberate reason why it was done this way."— Mike Kistler We then pivoted over to talking about MCP (or Model Context Protocol) which is a rapidly evolving standard for creating your own agents and applications which can communicate with or be instructed by, LLMs. We talked about how the MCP standard works, and how the standard is written in such a way that there's always a human in the loop. We also talked about how you can build your own MCP servers using the MCP SDK for C#. It's worth pointing out that both MCP and Open API are evolving standards. While Open API tends to evolve with a much more relaxed pace, the MCP standard (having not even reached a year old when we recorded) uses the date as it's version number. And Mike actually references the latest version of the MCP spec in our conversation, which will give you a clue as to when we recorded it. 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/building-the-future-of-apis-mike-kistlers-insights-on-openapi-and-mcp Useful Links: OpenAPI API Blueprint RAML ProducesResponseType attribute Minimal API TypedResults S07E16 - From Code to Cloud in 15 Minutes: Jason Taylor's Expert Insights And The Clean Architecture Template GitHub MCP Server MCP Transports MCP C# SDK Current version of the MCP spec as of the date of recording (aka version 2025-06-18) Microsoft MCP Servers List Mike on LinkedIn .NET Community Standup 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.
Про AI кричат из каждого утюга, и возникает ощущение, что нам нужно срочно учиться работать с AI, чтобы не быть выкинутыми на помойку истории. Но так ли это?Спасибо всем, кто нас слушает. Ждем Ваши комментарии.Музыка из выпуска: - https://artists.landr.com/056870627229- https://t.me/angry_programmer_screamsВесь плейлист курса "Kubernetes для DotNet разработчиков": https://www.youtube.com/playlist?list=PLbxr_aGL4q3SrrmOzzdBBsdeQ0YVR3Fc7Бесплатный открытый курс "Rust для DotNet разработчиков": https://www.youtube.com/playlist?list=PLbxr_aGL4q3S2iE00WFPNTzKAARURZW1ZShownotes: 00:00:00 Вступление00:04:45 Нужно ли знать нейронки under the hood?00:09:45 Как можно зафиксировать LLM?00:18:30 Как разобраться в сотне LLM терминов?00:24:00 В чем разница между людьми и LLM?00:35:00 Агенты00:45:00 Нейронка на CPU00:55:40 Что делать с локальными моделями?01:13:00 AI пузырь лопается?01:36:20 Про собеседованияСсылки:- https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi : Лучший курс по устройству LLM - https://youtu.be/Oqe6vucYpDo?si=7Diac7To8qlmd8BZ : Вайбкодинг на нашем канале :)Видео: https://youtube.com/live/q_pq3ImheB4 Слушайте все выпуски: https://dotnetmore.mave.digitalYouTube: https://www.youtube.com/playlist?list=PLbxr_aGL4q3R6kfpa7Q8biS11T56cNMf5Twitch: https://www.twitch.tv/dotnetmoreОбсуждайте:- Telegram: https://t.me/dotnetmore_chatСледите за новостями:– Twitter: https://twitter.com/dotnetmore– Telegram channel: https://t.me/dotnetmoreCopyright: https://creativecommons.org/licenses/by-sa/4.0/
Send us a text- On-Demand Programme Link - https://mailchi.mp/bb2a7b851246/kairos-centreDevelopmental history from childhoodThe phase of childhood from birth to age 6 is a critical time of sensitivity, during which time, templates are created which shape future interpersonal interactions. During this sensitive period of development, a child acquires a variety of new abilities and skills that are a necessary part of child development. There are five sensitive period categories, which include language, order, sensory skills, motor skills, and social skills.Many people experience some type of wounding during their early development and learn to numb their pain by self-soothing with one or more compulsive behaviours. As adults, they may continue to struggle with the compulsive misuse of alcohol, drugs, spending, food, sex, relationships or the Internet. All addictions feature a very complex emotional and biochemical process that have origins in childhood trauma and the deprivation of authentic intimacy and bonding during development.Socially induced pathology appears between the ages of 4 to 5 and 8 to 9.The onset of male sexual imprinting is from aged 3 to 4 and peaks at 8 to 9, with an upper tail at about aged 13. These sex and relationship templates (set up in childhood) become activated at puberty and develop and continue throughout adult life.4 Ways in which juvenile sex and relsp templates are developmentally vulnerable to socially induced pathology:· Explicitly neglecting to monitor and reinforce healthy sexual rehearsal play.· Punishing or humiliating children for their rehearsal play.· Prematurely inducting children into sexual rehearsal play.· Coercing children into age-discrepant sexual rehearsal play.Our early attachment styles are established in childhood through the infant/caregiver relationship. Four distinguishing characteristics of attachment are:1 Proximity Maintenance - The desire to be near the people we are attached to.2 Safe Haven - Returning to the attachment figure for comfort and safety in the face of a fear or threat.3 Secure Base - The attachment figure acts as a base of security from which the child can explore the surrounding environment.4 Separation Distress - Anxiety that occurs in the absence of the attachment figure.Templates are setting up traits that will play out in Adulthood, which the child did not vote to have at work in their life. Get some help from The Kairos Centre. See what you cannot see. Begin to change that which you begin to better understand.Help someone: https://igg.me/at/ThekairosCentreHelp is here for you: bit.ly/pornaddictionhelpGary McFarlane (BA, LLM, Dip, Certs), Accredited EMDR Practitioner.Key words: sex addiction, addicted, partner, porn addiction, recovery, sex drive, therapy, sex therapy, podcast, relationships, relationship counseling, relationship advice, addiction, couples, couples therapy, sex therapy, emdr, love addiction, behavior, psychology, codependency, sex life, neuroscience, sex ed, sober, sobriety, sexual dysfunction, relationship issues, sex coach, sexual, trauma, ptsd, sex science, The sex porn love Addiction Podcast, The Singles Partners Marrieds and Long Time Marrieds Podcast, Gary McFarlane, porn addiction, what neuroscience says, neuroscience, young adults, sex, sex addict, porn, recovery, porn addiction issue, porn addiction in teens, sex addiction in teens, sex hormones, hormonSupport the show
A CMO Confidential Interview with Mike Walrath, Chairman and CEO of Yext, Inc., formerly CEO of Right Media, and SVP at Yahoo! Mike discusses what he believes is the collapse of the marketing funnel, the need to understand how AI consumes data while judgement stays with consumers, and how an "influence marketing" mindset is emerging. Key topics include: why CMOs will need to be both great brand strategists as well as scientists, the need to constantly distribute information and "tend it like a garden," and why Reddit is great for training AI, but not as important in building brand influence. Tune in to hear a story about why you shouldn't let ChatGPT talk in an unsupervised forum and why Land Rover should send me a polo shirt. This week, Mike Linton sits down with Mike Walrath, Chairman & CEO of @yext (and founder of WGI Group), to unpack why the classic awareness–consideration–conversion funnel is collapsing—and what CMOs must do next. From zero-click discovery and AI agents “front-ending” consumers to why structured first-party data now beats pretty websites, Walrath maps the new rules for brand, distribution, and measurement in an AI-led marketplace.We cover: how consideration gets outsourced to AI, why marketers will “market to agents” (without controlling the ad copy), the coming arms race in citations and data distribution, and what organizational fixes boards and CMOs should make now. If you own brand, growth, or P&L accountability, this is a playbook for the next chapter.**Sponsor — @typefaceai Typeface helps the world's biggest brands move from brief to fully personalized campaigns in hours, not months. With its agentic AI marketing platform, one idea scales into thousands of on-brand variations across ads, email, and video—integrated with your MarTech stack and secured for the enterprise. See how brands like ASICS and Microsoft are transforming marketing: typeface.ai/cmo.Highlights* Why “zero-click” compresses awareness and consideration inside AI experiences—and how to win the AI bake-off.* The end of marketer-controlled ad copy; influence shifts to data quality, recency, and distribution.* Memory and context change everything: agents know the consumer—and your brand—better than you think.* Brand matters more, not less; without brand salience you won't make the answer set.* From content to data: make every spec, price, menu, inventory, policy, and promo machine-readable and syndicated.* Citations, not vibes: first-party sites and listings dominate AI references; keep them fresh and authoritative.* Org design: hire the data athletes, upgrade infrastructure, and instrument real conversion milestones (tests, visits, units).New episodes every Tuesday on YouTube, Apple, and Spotify. If you find this useful, please like, subscribe, and share with your team.**Guests**Mike Walrath — Chairman & CEO, Yext; Founder, WGI Group.Host: Mike Linton — former CMO of Best Buy, eBay, Farmers Insurance; former CRO, Ancestry.CMO Confidential,marketing,CMO,chief marketing officer,AI marketing,agentic AI,marketing funnel,zero click,search,SEO,GenAI,LLM,brand strategy,performance marketing,Yext,Mike Walrath,Mike Linton,customer journey,personalization,content at scale,structured data,citations,data strategy,MarTech,go to market,GTM,board strategy,enterprise marketing,retail,automotive marketing,restaurants,media,advertising,Typeface sponsor,Typeface AI,typeface.ai/cmoSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
BlueRock is building an agentic security fabric to protect organizations deploying AI agents and MCP workflows. With a $25 Million Series A, founder Bob Tinker is tackling what he sees as a 10x larger opportunity than mobile's enterprise disruption. Bob previously scaled MobileIron from zero to $150 million in five years and took it public in 2014. In this episode of Category Visionaries, Bob shares the strategic mistakes that cost MobileIron its category positioning, why go-to-market fit is the missing framework between PMF and scale, and how B2B marketing has fundamentally transformed in just 18 months. Topics Discussed: Taking a company public: the killer marketing event versus the unexpected team psychology challenges of daily stock volatility Why agentic AI workflows create unprecedented security challenges at the action and data layer, not just prompts The strategic timing of category definition: MobileIron's cautionary tale of letting Gartner define you as "MDM" when customers bought for security Where enterprise buyers actually get advice now that Gartner's influence has diminished AEO (Answer Engine Optimization) replacing SEO as the primary discovery mechanism for B2B solutions Why 1.0 categories have fundamentally unclear ICPs versus 2.0/3.0 products with crisp buyer personas The "high urgency, low friction" framework for prioritizing what to build in nascent markets Go-to-market fit: the repeatable growth recipe that unlocks scaling post-PMF Unlearning as competitive advantage for second-time founders GTM Lessons For B2B Founders: Time your category noun definition strategically: MobileIron focused exclusively on solving the problem (the verb) but waited too long to influence category nomenclature. Gartner labeled it "Mobile Device Management" when customer purchase drivers were security-focused, not management. This misalignment constrained positioning for years with no way to correct it. The framework: lead with verb, but proactively shape the noun before external analysts do it for you. Bob's doing this differently at BlueRock by distinguishing "agentic action security" from "prompt security" early, even while the broader market sorts out AI security taxonomy. Use customer language as category discovery, not invention: Bob's breakthrough on BlueRock positioning came from asking prospects: "How would you describe what we do to your peers?" One prospect distinguished their focus on "the action side - taking AI and taking action on data and tools" versus prompt inspection and AI firewalls. This customer-generated framing revealed the natural fault lines in how practitioners think about the problem space. The tactical application: run this exact question with your first 10-15 qualified prospects and pattern-match their language, rather than workshopping category names internally. Engineer for the "high urgency, low friction" intersection: Bob's filtering criteria for BlueRock's roadmap requires both dimensions simultaneously. When a prospect revealed they were building their own MCP security tools - a signal of acute, unmet pain - they also asked BlueRock to add prompt security features. Bob's framework forced a "no" despite clear demand because it would violate low friction. The discipline: if a feature request fails either test (not urgent enough OR too much friction), it doesn't make the cut, even when prospects explicitly ask for it. Accept ICP ambiguity as a feature, not bug, of 1.0 markets: In 2.0/3.0 categories, you can target "VP of Detection & Response" with precision. In 1.0 markets like agentic security, Bob finds buyers across three distinct orgs: agentic development teams building secure-by-default systems, product security teams inside engineering (not under the CISO), and traditional security organizations. His thesis: this lack of crisp ICP definition is actually a reliable signal you're in a genuinely new market. The response: invest in community engagement across all three buyer types rather than forcing premature segmentation. Shift content strategy from SEO to AEO immediately: Bob identifies the clock speed of marketing change as "breathtaking" - what worked 18 months ago is obsolete. The specific shift: ranking above the fold in Google search is now irrelevant. What matters is appearing in the answer box that ChatGPT or Google Gemini surfaces above traditional results. This isn't incremental SEO optimization - it requires fundamentally restructuring content to feed LLM context windows and answer engines rather than keyword-optimizing for traditional search crawlers. Treat go-to-market fit as a distinct inflection point: Bob observed a consistent pattern across MobileIron, Box (Aaron Levie), Citrix (Mark Templeton), Palo Alto Networks (Mark McLaughlin), and SendGrid (Sameer Dholakia) - all hit PMF, hired salespeople aggressively, burned cash, and stalled growth while boards grew frustrated. The missing concept: PMF proves you can create value; GTM fit proves you can capture it repeatedly. It's the "repeatable growth recipe to find and win customers over and over again." The tactical implication: after PMF, resist pressure to scale headcount and instead obsess over making your first 3-5 sales cycles systematically repeatable before hiring your second AE. Build community as primary discovery in fragmented buyer markets: Bob's most different GTM motion versus five years ago: "We're just out talking to prospects and customers - individual reach outs, hitting people up on LinkedIn, posting in discussion boards, engaging with the community." This isn't supplemental to demand gen; it's replaced traditional top-of-funnel. When prospects exist across multiple personas without clear titles, community presence in Reddit, Stack Overflow, and LinkedIn becomes the only scalable discovery mechanism. The benchmark: successful new tech companies have built communities of early users before they've built repeatable sales motions. Practice systematic unlearning as second-time founder discipline: Bob's most personal insight: "What really got in my way wasn't what I needed to learn. It was what I needed to unlearn." The specific application: he's questioning his entire MobileIron marketing playbook because "blindly applying that eight-year-old playbook to marketing or sales will end in tears." His framework: periodic gut checks asking "What assumptions am I making? How should I think about this differently?" rather than letting inertia drive execution. The meta-lesson: success creates muscle memory that becomes liability without deliberate examination. Second-time founders should actively audit which reflexes to preserve versus discard. // 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
LLM.punto txt no es magia ni un estándar oficial de Google: es un simple archivo de texto alojado en tu dominio que funciona como hoja de presentación para máquinas y personas. Su idea es ordenar quién eres y qué ofreces en una única fuente verificable: una frase de identidad, tres pruebas verificables (por ejemplo un dato en euros, una reseña verificada y una mención en un medio), una lista breve de servicios, políticas con cifras claras, cobertura geográfica y datos de contacto, además de enlaces a fuentes externas. También conviene enlazar el sitemap y el RSS para que lectores de IA, agregadores y asistentes tengan el camino hecho. Lo crucial es dejar una frase citable que puedas usar igual en la homepage y en el propio LLM.punto txt, de modo que la IA tenga a mano hechos claros y citables para citarte con confianza.Un caso rápido ilustra el efecto: una pequeña empresa de reparaciones en Valencia organizó su información en LLM.punto txt con cuatro bloques simples y una frase citable repetida en su web, y en pocas semanas intensificó las búsquedas de marca y recibió llamadas que repetían esa frase. Si te preguntas cómo empezar, el episodio propone reservar una hora, crear el archivo con etiquetas en lenguaje natural (Quiénes somos, Para quién, Pruebas, Productos, Políticas, Zona, Contacto, Fuentes externas, Sitemap y RSS), mantenerlo corto y medible, incluir dos o tres enlaces externos y una cifra verificada, y actualizar la fecha cada mes para mantener la frescura. ¿Te animas a probarlo y ver si la IA te cita de forma más clara y confiable?Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/seo-para-google--1693061/support.Newsletter Marketing Radical: https://marketingradical.substack.com/welcomeNewsletter Negocios con IA: https://negociosconia.substack.com/welcomeMis Libros: https://borjagiron.com/librosSysteme Gratis: https://borjagiron.com/systemeSysteme 30% dto: https://borjagiron.com/systeme30Manychat Gratis: https://borjagiron.com/manychatMetricool 30 días Gratis Plan Premium (Usa cupón BORJA30): https://borjagiron.com/metricoolNoticias Redes Sociales: https://redessocialeshoy.comNoticias IA: https://inteligenciaartificialhoy.comClub: https://triunfers.com
Everyone's slapping 'agentic' on their AI products, but what does that even mean? Anne Jenkins, Vice President of Solution Architecture at Teneo, helps us separate substance from buzzwords.In this episode, Anne shares her expertise on agentic AI and the evolution of conversational AI technologies. We explore what truly makes an AI ‘agentic' versus the marketing hype all over your LinkedIn feed and beyond. Anne explains why Teneo's hybrid approach, combining traditional NLU capabilities with large language models, creates more reliable, cost-effective, and latency-friendly solutions than pure LLM implementations.We also discuss the challenges organisations face when adopting AI solutions, including the misconception that LLMs alone can solve all problems without proper conversation design or business rule integration. Anne shares valuable insights on how companies can prepare for AI adoption through education, competitive pilots, and architectural considerations.We touch on many best practices when it comes to implementation, with Anne emphasising the importance of proper context engineering, state management, and dynamic prompting.Chapters00:00 - Meet Anne Jenkins05:01 - AI is now a boardroom conversation06:48 – OpenAI's agentic AI platform08:48 – What is an AI agent?21:38 – The hybrid AI model or end-to-end LLMs26:49 – AI in debt collection34:55 – How Teneo helps implement agentic AI42:39 – Context engineering47:19 – State management and LLMs55:40 – How Teneo designs AI experiences01:00:32 – Demo – teaching Teneo something new01:10:26 – How businesses should adopt AI01:16:44 – What sets Teneo apartShow notesCheck out TeneoFollow Anne Jenkins on LinkedInRead Kane's article - What agentic AI actually is: a deeply researched and definitive explanationFollow Kane Simms on LinkedInTake our updated AI Maturity AssessmentSubscribe to VUX WorldSubscribe to The AI Ultimatum Substack Hosted on Acast. See acast.com/privacy for more information.
AI-powered web browsers are hitting the scene fast, but Steve and Leo unpack why these smart assistants could usher in an era of security chaos most users aren't ready for. Brace yourself for the wild risks, real-world scams, and the privacy questions no one else is asking. Secret radios discovered in Chinese-made busses. Edge & Chrome introduce LLM-based "scareware" blocking. A perfect example of what scareware blocking hopes to prevent. Aardvark: OpenAI's new vulnerability scanner for code. Italy to require age verification from 48 specific sites. Russia to require the use of only Russian software within Russia. Russia further clamping down on non-MAX Telegram and WhatsApp messaging. 187 new malicious NPM packages. Could AI help with that? BadCandy malware has infiltrated Australian Cisco routers. Github's 2025 report with the dominance of TypeScript. Windows 11 gets new extra-secure Admin Protection feature. A bunch of interesting feedback and listener thoughts. And why the new AI-driven web browsers may be bringing a whole new world of hurt Show Notes - https://www.grc.com/sn/SN-1050-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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: bitwarden.com/twit joindeleteme.com/twit promo code TWIT canary.tools/twit - use code: TWIT bigid.com/securitynow threatlocker.com for Security Now
AI-powered web browsers are hitting the scene fast, but Steve and Leo unpack why these smart assistants could usher in an era of security chaos most users aren't ready for. Brace yourself for the wild risks, real-world scams, and the privacy questions no one else is asking. Secret radios discovered in Chinese-made busses. Edge & Chrome introduce LLM-based "scareware" blocking. A perfect example of what scareware blocking hopes to prevent. Aardvark: OpenAI's new vulnerability scanner for code. Italy to require age verification from 48 specific sites. Russia to require the use of only Russian software within Russia. Russia further clamping down on non-MAX Telegram and WhatsApp messaging. 187 new malicious NPM packages. Could AI help with that? BadCandy malware has infiltrated Australian Cisco routers. Github's 2025 report with the dominance of TypeScript. Windows 11 gets new extra-secure Admin Protection feature. A bunch of interesting feedback and listener thoughts. And why the new AI-driven web browsers may be bringing a whole new world of hurt Show Notes - https://www.grc.com/sn/SN-1050-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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: bitwarden.com/twit joindeleteme.com/twit promo code TWIT canary.tools/twit - use code: TWIT bigid.com/securitynow threatlocker.com for Security Now
AI-powered web browsers are hitting the scene fast, but Steve and Leo unpack why these smart assistants could usher in an era of security chaos most users aren't ready for. Brace yourself for the wild risks, real-world scams, and the privacy questions no one else is asking. Secret radios discovered in Chinese-made busses. Edge & Chrome introduce LLM-based "scareware" blocking. A perfect example of what scareware blocking hopes to prevent. Aardvark: OpenAI's new vulnerability scanner for code. Italy to require age verification from 48 specific sites. Russia to require the use of only Russian software within Russia. Russia further clamping down on non-MAX Telegram and WhatsApp messaging. 187 new malicious NPM packages. Could AI help with that? BadCandy malware has infiltrated Australian Cisco routers. Github's 2025 report with the dominance of TypeScript. Windows 11 gets new extra-secure Admin Protection feature. A bunch of interesting feedback and listener thoughts. And why the new AI-driven web browsers may be bringing a whole new world of hurt Show Notes - https://www.grc.com/sn/SN-1050-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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: bitwarden.com/twit joindeleteme.com/twit promo code TWIT canary.tools/twit - use code: TWIT bigid.com/securitynow threatlocker.com for Security Now
AI-powered web browsers are hitting the scene fast, but Steve and Leo unpack why these smart assistants could usher in an era of security chaos most users aren't ready for. Brace yourself for the wild risks, real-world scams, and the privacy questions no one else is asking. Secret radios discovered in Chinese-made busses. Edge & Chrome introduce LLM-based "scareware" blocking. A perfect example of what scareware blocking hopes to prevent. Aardvark: OpenAI's new vulnerability scanner for code. Italy to require age verification from 48 specific sites. Russia to require the use of only Russian software within Russia. Russia further clamping down on non-MAX Telegram and WhatsApp messaging. 187 new malicious NPM packages. Could AI help with that? BadCandy malware has infiltrated Australian Cisco routers. Github's 2025 report with the dominance of TypeScript. Windows 11 gets new extra-secure Admin Protection feature. A bunch of interesting feedback and listener thoughts. And why the new AI-driven web browsers may be bringing a whole new world of hurt Show Notes - https://www.grc.com/sn/SN-1050-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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: bitwarden.com/twit joindeleteme.com/twit promo code TWIT canary.tools/twit - use code: TWIT bigid.com/securitynow threatlocker.com for Security Now
AI-powered web browsers are hitting the scene fast, but Steve and Leo unpack why these smart assistants could usher in an era of security chaos most users aren't ready for. Brace yourself for the wild risks, real-world scams, and the privacy questions no one else is asking. Secret radios discovered in Chinese-made busses. Edge & Chrome introduce LLM-based "scareware" blocking. A perfect example of what scareware blocking hopes to prevent. Aardvark: OpenAI's new vulnerability scanner for code. Italy to require age verification from 48 specific sites. Russia to require the use of only Russian software within Russia. Russia further clamping down on non-MAX Telegram and WhatsApp messaging. 187 new malicious NPM packages. Could AI help with that? BadCandy malware has infiltrated Australian Cisco routers. Github's 2025 report with the dominance of TypeScript. Windows 11 gets new extra-secure Admin Protection feature. A bunch of interesting feedback and listener thoughts. And why the new AI-driven web browsers may be bringing a whole new world of hurt Show Notes - https://www.grc.com/sn/SN-1050-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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: bitwarden.com/twit joindeleteme.com/twit promo code TWIT canary.tools/twit - use code: TWIT bigid.com/securitynow threatlocker.com for Security Now
AI-powered web browsers are hitting the scene fast, but Steve and Leo unpack why these smart assistants could usher in an era of security chaos most users aren't ready for. Brace yourself for the wild risks, real-world scams, and the privacy questions no one else is asking. Secret radios discovered in Chinese-made busses. Edge & Chrome introduce LLM-based "scareware" blocking. A perfect example of what scareware blocking hopes to prevent. Aardvark: OpenAI's new vulnerability scanner for code. Italy to require age verification from 48 specific sites. Russia to require the use of only Russian software within Russia. Russia further clamping down on non-MAX Telegram and WhatsApp messaging. 187 new malicious NPM packages. Could AI help with that? BadCandy malware has infiltrated Australian Cisco routers. Github's 2025 report with the dominance of TypeScript. Windows 11 gets new extra-secure Admin Protection feature. A bunch of interesting feedback and listener thoughts. And why the new AI-driven web browsers may be bringing a whole new world of hurt Show Notes - https://www.grc.com/sn/SN-1050-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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: bitwarden.com/twit joindeleteme.com/twit promo code TWIT canary.tools/twit - use code: TWIT bigid.com/securitynow threatlocker.com for Security Now
What happens if you cross ChatGPT with a Roomba vacuum? Turns out it spins into a comedic doom spiral and then rhymes to the lyrics to musicals. Researchers at a startup in San Francisco recently did an experiment where they gave a simple task to robots powered by large language models, known as LLM's, like ChatGPT. And let's just say things did not go well. Julie Bort, an editor for the tech publication TechCrunch covered this experiment and explains what went wrong, and what this says about the future of AI powered robots.
AI-powered web browsers are hitting the scene fast, but Steve and Leo unpack why these smart assistants could usher in an era of security chaos most users aren't ready for. Brace yourself for the wild risks, real-world scams, and the privacy questions no one else is asking. Secret radios discovered in Chinese-made busses. Edge & Chrome introduce LLM-based "scareware" blocking. A perfect example of what scareware blocking hopes to prevent. Aardvark: OpenAI's new vulnerability scanner for code. Italy to require age verification from 48 specific sites. Russia to require the use of only Russian software within Russia. Russia further clamping down on non-MAX Telegram and WhatsApp messaging. 187 new malicious NPM packages. Could AI help with that? BadCandy malware has infiltrated Australian Cisco routers. Github's 2025 report with the dominance of TypeScript. Windows 11 gets new extra-secure Admin Protection feature. A bunch of interesting feedback and listener thoughts. And why the new AI-driven web browsers may be bringing a whole new world of hurt Show Notes - https://www.grc.com/sn/SN-1050-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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: bitwarden.com/twit joindeleteme.com/twit promo code TWIT canary.tools/twit - use code: TWIT bigid.com/securitynow threatlocker.com for Security Now
Does networking stress you out? Are you having difficulty connecting with colleagues at conferences or partnering events? Mastering the art of genuine connection is essential to advancing your career and building your network. In this listener-favorite episode, James Zanewicz, JD, LLM, RTTP, and Elaine Hamm, PhD, dive deep into their personal strategies for networking success. With years of experience attending and producing biotech events, they share invaluable tips, insights, and even some humorous stories about their networking journeys—both the wins and the awkward moments. Whether you're an introvert looking for practical tips to step out of your comfort zone or an extrovert wanting to refine your approach, this episode offers something for everyone. In this episode, you'll discover: How to approach networking with authenticity, whether you're an introvert or extrovert. Tips on building genuine connections at biotech events and staying in touch after. Practical rules to position yourself to get the most out of networking, even if it's outside your comfort zone. Tune in to learn how to connect authentically, overcome social anxiety, and make the most out of your next networking opportunity. Links: Connect with Elaine Hamm, PhD, and James Zanewicz, JD, LLM, RTTP, and learn about Tulane Medicine Business Development and the School of Medicine. Learn about James' first communications role: EXTRA! Connect with Ian McLachlan, BIO from the BAYOU producer. Learn more about BIO from the BAYOU - the podcast. Bio from the Bayou is a podcast that explores biotech innovation, business development, and healthcare outcomes in New Orleans & The Gulf South, connecting biotech companies, investors, and key opinion leaders to advance medicine, technology, and startup opportunities in the region.
AI-powered web browsers are hitting the scene fast, but Steve and Leo unpack why these smart assistants could usher in an era of security chaos most users aren't ready for. Brace yourself for the wild risks, real-world scams, and the privacy questions no one else is asking. Secret radios discovered in Chinese-made busses. Edge & Chrome introduce LLM-based "scareware" blocking. A perfect example of what scareware blocking hopes to prevent. Aardvark: OpenAI's new vulnerability scanner for code. Italy to require age verification from 48 specific sites. Russia to require the use of only Russian software within Russia. Russia further clamping down on non-MAX Telegram and WhatsApp messaging. 187 new malicious NPM packages. Could AI help with that? BadCandy malware has infiltrated Australian Cisco routers. Github's 2025 report with the dominance of TypeScript. Windows 11 gets new extra-secure Admin Protection feature. A bunch of interesting feedback and listener thoughts. And why the new AI-driven web browsers may be bringing a whole new world of hurt Show Notes - https://www.grc.com/sn/SN-1050-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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: bitwarden.com/twit joindeleteme.com/twit promo code TWIT canary.tools/twit - use code: TWIT bigid.com/securitynow threatlocker.com for Security Now
In this episode, we dive deep into the real-world state of AI adoption across industries, unpacking the findings of a major new survey with Gabriel Krummenacher. We explore which AI use cases actually move the needle—hint: operational efficiency tops the list—and why simply chasing the latest GenAI trends won't deliver results without a solid data science foundation. You'll hear our honest takes on what separates hype from impact, why ethical frameworks and governance drive innovation (not stifle it), and how US and European companies are taking very different paths with AI. If you're wondering where AI is truly transforming business—and what it really takes to succeed—this episode is for you.
Hogy épül be az AI szépen lassan a hétköznapjaink minden szegletébe? Mit tudnak az érvelő AI-modellek? Mi áll az OpenAI és Elon Musk csatározása mögött? Az AI Híradó második adása podcastban és videón is elérhető.See omnystudio.com/listener for privacy information.
ElevenLabs CEO and co‑founder Mati Staniszewski joins Jennifer Li to explain how the team ships research‑grade AI at lightning speed—from text‑to‑speech and fully licensed AI music to real‑time voice agents—and why voice is the next interface for human‑computer interaction. He shares the small, autonomous team model, global hiring approach, and how the Voice Marketplace has paid creators over $10M while evolving into an enterprise platform. Resources:Follow Mati on X: https://x.com/matistanisFollow Jennifer on X: https://x.com/JenniferHli Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
HTML All The Things - Web Development, Web Design, Small Business
In this episode, Matt and Mike compare JavaScript and Python for building LLM-powered chatbots. They explore how each ecosystem handles tool calling, type safety, performance, and framework support — from TypeScript's tight end-to-end types to Python's dominance in data and ML. They also discuss architecture patterns that mix the best of both worlds, helping teams choose the right stack for scalable, efficient AI projects. Show Notes: https://www.htmlallthethings.com/podcast/javascript-vs-python-which-is-better-for-building-llm-chatbots Powered by CodeRabbit - AI Code Reviews: https://coderabbit.link/htmlallthethings Use our Scrimba affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.
My guest on this episode of the podcast is Luca Fiaschi, a machine learning expert who previously held executive data science roles at MistPlay, StitchFix, and HelloFresh. Luca is now a Partner for the Generative AI vertical at PyMC Labs, a consultancy that specializes in the application of Bayesian methods to business problems and which maintains the open source PyMC library for Bayesian statistical modeling as well as the open source PyMC Marketing media mix modeling library. The subject of my discussion with Luca is PyMC Labs' recent paper, LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings. I found the paper fascinating and wrote an overview on LinkedIn; the paper's authors (from PyMC Labs as well as Colgate) use an LLM to score product concepts, finding that the distribution of LLM-produced scores can be comparable to that produced by human panels.Among other things, the podcast episode covers:Background on the paper, and how the partnership with Colgate-Palmolive came about.An overview of the LLM querying methodologies used in the paper and how they produced score distributions.The approaches used in the paper for calculating similarities between the LLM-produced and human-produced scores.The conclusions / findings of the paper.What the implications of the paper are on marketing creative ideation and the use of LLMs for evaluating product and advertising concepts.Thanks to the sponsors of this week's episode of the Mobile Dev Memo podcast:Xsolla. With the Xsolla Web Shop, you can create a direct storefront, cut fees down to as low as 5%, and keep players engaged with bundles, rewards, and analytics.INCRMNTAL. True attribution measures incrementality, always on.Universal Ads is Comcast's self-serve TV ads platform that lets you launch campaigns in minutes across premium inventory from NBC, Paramount, Warner Bros. Discovery, Roku, and more.Interested in sponsoring the Mobile Dev Memo podcast? Contact Marketecture.
Scott and Wes dive into Remix 3, exploring how it embraces native web standards like Events, Signals, and Streams to become a truly full-stack framework. They unpack what “LLM-ready,” thin APIs, and a standards-based approach mean for the future of web development. Show Notes 00:00 Welcome to Syntax! 03:21 Uses the platform - native Events, Signals, Streams, Fetch 04:16 Remix 3, Fully Fullstack. 04:57 LLM‑ready + thin APIs 05:53 Brought to you by Sentry.io. 06:18 My previous predictions. 07:44 The value of ‘Standards Based'. 09:13 Component model - JSX/TSX; state = variables; call this.render() 11:56 Adding reactivity to Remix. 15:15 Event‑based architecture - custom events, EventTarget, interactions 20:52 Context & type‑safe access. 22:46 Composing interaction logic within events. 24:25 Signals - AbortSignal to cancel async ops 25:21 Benefits of standards - bring your own tools/libraries Michael Asnong X Post. 26:42 CSS - built‑in CSS prop; Svelte‑like scoping 28:34 Server - Web Request/Response, Web Streams across runtimes 31:23 Frames - async URL‑addressable components with fallbacks 33:07 Tooling - ESM; use Vite or esbuild 34:47 Routing - code‑based named routes 35:57 Questions/Concerns - manual rendering vs reactivity 38:47 URL Pattern API - modern, fast routing foundations 41:33 Sick Picks + Shameless Plugs. Sick Picks Scott: MoCA 2.5 Network Adapter Wes: Bosch Dishwasher Shameless Plugs Scott: Syntax on YouTube. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads
Ahmad Alfy explains how URLs are state containers, Shrivu Shankar shares how he uses every Claude Code feature, Yusuf Aytas laments how AI broke technical interviews, Wu Xiaoyun tells how he saved TikTok $300k during his internship, and TOON is a new serialization format to save us some LLM tokens.
After all the AI hype is over, one change for Linux will be sticking around; we put it to the test.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. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:
In this episode, we continue the conversation on how AI is transforming the world of enterprise networking. You'll hear how Cisco approached internal AI adoption with caution and clarity, including the importance of private LLM instances and avoiding shadow AI practices. The group also explores how education, governance, and secure tools are critical for protecting data and building trust in AI systems. From prompt injection attacks to certification updates, the episode breaks down how Cisco is evolving its learning paths and certification programs (like CCNA, DevNet, and CCDE) to reflect the skills networking professionals need in an AI-driven future. Whether you're an entry-level learner or a seasoned network engineer, you'll walk away with actionable guidance—and a clear call to get involved, experiment responsibly, and help shape the next era of enterprise networking.
25 years ago today, the PlayStation 2 launched in the US. I recount my lonely camping out at a local store that nobody knew had PS2's, only to get a PS2 that didn't work. Once Upon A Katamari is a new entry in my favorite game series, and reviewers love it but there's an aspect of it I'm not as much a fan of. Microsoft has told the Xbox division that they must make 30% profit margins, something that no game company has been able to do. This explains why Xbox has made the decisions they have made for the past year. Then we talk about how Microsoft has opted all users of the Xbox Game Bar on PC into a Microsoft Copilot feature that periodically takes screenshots of your gameplay and sends it to their AI for learning - even if it's a game you're developing and under NDA.
Ahmad Alfy explains how URLs are state containers, Shrivu Shankar shares how he uses every Claude Code feature, Yusuf Aytas laments how AI broke technical interviews, Wu Xiaoyun tells how he saved TikTok $300k during his internship, and TOON is a new serialization format to save us some LLM tokens.
I am Dominic Bowen, and I am the host of the International Risk Podcast.At 7am on the 15th of August, after ten days of marathon sessions and a final overtime session that stretched more than 24 hours, the Chair of the UN Intergovernmental Negotiating Committee on Plastic Pollution formally adjourned INC-5.2. What was meant to be the final round of talks on a global plastic treaty ended not with a breakthrough but with collapse. Despite two draft texts, delegates left Geneva without a consensus on a legally binding agreement. The deadlock revealed stark fault lines: on one side, a majority of countries demanding binding rules to tackle plastics across their full lifecycle — turning off the tap at the source. On the other hand, a minority of petrochemical and oil-producing states are pushing for a nationally determined approach, focused narrowly on recycling and waste management after production. The result? Paralysis by consensus: a process where the need for unanimity allowed a small group of obstructionists to stall the world's response to a rapidly escalating crisis.Today, we're joined first by Christina Dixon, Ocean Campaign Leader at the Environmental Investigation Agency. For several years, Christina and her team at EIA have been pushing for a global treaty to tackle plastic pollution and she was present at the UN Environment Assembly in 2002 when nations adopted the resolution to begin negotiations on a legally binding treaty to end plastic pollution. Christina has more than 15 years of experience driving change through policy and strategic communication, including her previous role as Global Campaign Lead at World Animal Protection, and holds degrees in both Broadcast Journalism and Media and Communications. Alongside Christina, we are joined by Alexandra Harrington, an international law scholar and practitioner specialising in international organisations, environmental and sustainable development law, corporate social responsibility, transitional justice and treaty regimes. She is Chair of the Plastic Pollution Task Force at the International Union for Conservation of Nature (IUCN). She has published extensively, with recent books inlcuding International Law and Global Governance: Treaty Regimes and Sustainable Development Goals Interpretation. She holds a doctoral degree in civil law, in addition to a JD and LLM.The International Risk Podcast brings you conversations with global experts, frontline practitioners, and senior decision-makers who are shaping how we understand and respond to international risk. From geopolitical volatility and organised crime, to cybersecurity threats and hybrid warfare, each episode explores the forces transforming our world and what smart leaders must do to navigate them. Whether you're a board member, policymaker, or risk professional, The International Risk Podcast delivers actionable insights, sharp analysis, and real-world stories that matter.Dominic Bowen is the host of The International Risk Podcast and Europe's leading expert on international risk and crisis management. As Head of Strategic Advisory and Partner at one of Europe's leading risk management consulting firms, Dominic advises CEOs, boards, and senior executives across the continent on how to prepare for uncertainty and act with intent. He has spent decades working in war zones, advising multinational companies, and supporting Europe's business leaders. Dominic is the go-to business advisor for leaders navigating risk, crisis, and strategy; trusted for his clarity, calmness under pressure, and ability to turn volatility into competitive advantage. Dominic equips today's business leaders with the insight and confidence to lead through disruption and deliver sustained strategic advantage.Tell us what you liked!
This is a recap of the top 10 posts on Hacker News on November 01, 2025. This podcast was generated by wondercraft.ai (00:30): You can't refuse to be scanned by ICE's facial recognition app, DHS document sayOriginal post: https://news.ycombinator.com/item?id=45780228&utm_source=wondercraft_ai(01:54): Chat Control proposal fails again after public oppositionOriginal post: https://news.ycombinator.com/item?id=45783114&utm_source=wondercraft_ai(03:19): Updated practice for review articles and position papers in ArXiv CS categoryOriginal post: https://news.ycombinator.com/item?id=45782136&utm_source=wondercraft_ai(04:43): Hard Rust requirements from May onwardOriginal post: https://news.ycombinator.com/item?id=45779860&utm_source=wondercraft_ai(06:08): Visible from space, Sudan's bloodied sands expose a massacre of thousandsOriginal post: https://news.ycombinator.com/item?id=45783699&utm_source=wondercraft_ai(07:32): SQLite concurrency and why you should care about itOriginal post: https://news.ycombinator.com/item?id=45781298&utm_source=wondercraft_ai(08:57): GHC now runs in the browserOriginal post: https://news.ycombinator.com/item?id=45782981&utm_source=wondercraft_ai(10:21): Show HN: Why write code if the LLM can just do the thing? (web app experiment)Original post: https://news.ycombinator.com/item?id=45783640&utm_source=wondercraft_ai(11:46): Claude Code can debug low-level cryptographyOriginal post: https://news.ycombinator.com/item?id=45784179&utm_source=wondercraft_ai(13:10): Visopsys: OS maintained by a single developer since 1997Original post: https://news.ycombinator.com/item?id=45785858&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai
Today we are joined by Dario Pasquini, Principal Researcher at RSAC, sharing the team's work on WhenAIOpsBecome “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation. A first-of-its-kind security analysis showing that LLM-driven AIOps agents can be tricked by manipulated telemetry, turning automation itself into a new attack vector. The researchers introduce AIOpsDoom, an automated reconnaissance + fuzzing + LLM-driven telemetry-injection attack that performs “adversarial reward-hacking” to coerce agents into harmful remediations—even without prior knowledge of the target and even against some prompt-defense tools. They also present AIOpsShield, a telemetry-sanitization defense that reliably blocks these attacks without harming normal agent performance, underscoring the urgent need for security-aware AIOps design. The research can be found here: When AIOps Become “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation Learn more about your ad choices. Visit megaphone.fm/adchoices
Talk Python To Me - Python conversations for passionate developers
Today, we're talking about building real AI products with foundation models. Not toy demos, not vibes. We'll get into the boring dashboards that save launches, evals that change your mind, and the shift from analyst to AI app builder. Our guide is Hugo Bowne-Anderson, educator, podcaster, and data scientist, who's been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the house down, stick around. Episode sponsors Posit NordStellar Talk Python Courses Links from the show Hugo Bowne-Anderson: x.com Vanishing Gradients Podcast: vanishinggradients.fireside.fm Fundamentals of Dask: High Performance Data Science Course: training.talkpython.fm Building LLM Applications for Data Scientists and Software Engineers: maven.com marimo: a next-generation Python notebook: marimo.io DevDocs (Offline aggregated docs): devdocs.io Elgato Stream Deck: elgato.com Sentry's Seer: talkpython.fm The End of Programming as We Know It: oreilly.com LorikeetCX AI Concierge: lorikeetcx.ai Text to SQL & AI Query Generator: text2sql.ai Inverse relationship enthusiasm for AI and traditional projects: oreilly.com Watch this episode on YouTube: youtube.com Episode #526 deep-dive: talkpython.fm/526 Episode transcripts: talkpython.fm Theme Song: Developer Rap
In this closing keynote from a16z's Runtime conference, General Partner Erik Torenberg speaks with our firm's cofounders, Marc Andreessen and Ben Horowitz on highlights from throughout the conference, the current state of LLM capabilities, and why despite huge capex, AI is not a bubble. Resources:Follow Marc on X: https://x.com/pmarcaFollow Ben on X: https://x.com/bhorowitz Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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