Podcasts about google labs

En esta audio píldora explorarás las funciones innovadoras de Google Labs que anticipan el futuro de la tecnología y la productividad.

Send us a textThis special on-site episode of Edtech Insiders was recorded live at the Google AI for Learning Forum in London on November 14, 2024, where we sat down with leaders shaping Google's next generation of learning tools, including Shantanu Sinha, VP of Google for Education, Tal Oppenheimer, Product Management Director, Google Labs & Learning, Julia Wilkowski, Pedagogy & Learning Sciences Team Lead, Google, and Maureen Heymans, VP & GM, Learning, Google. Together, they share how Google is designing AI-powered tools grounded in learning science and built to scale across classrooms worldwide.

This week in AI, the bubble keeps inflating despite fresh warnings, Google stages an AI comeback, and Chinese AI threatens Nvidia. Though fears around irrational AI spending used to be confined to skeptics, now even industry insiders like Google's Sundar Pichai and Demis Hassabis are voicing doubts. CNBC's Deirdre Bosa speaks to Josh Woodward, Alphabet's VP of Google Labs, Dan Niles, founder of Niles Investment Management, and founder of GPU management company Hydra Host Aaron Ginn for more. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Google Labs está lleno de herramientas de IA gratuitas que podés usar ya mismo para crear mejor contenido, generar ideas y automatizar tareas sin ser técnico. En este episodio vas a descubrir 4 experimentos de Google que pueden ayudarte a trabajar más rápido, modernizar tu negocio y empezar a amigarte de verdad con la inteligencia artificial.

Hey everyone, Alex here

Google's much anticipated new large language model Gemini 3 begins rolling out today. We'll tell you what we learned from an early product briefing and bring you our conversation with Google executives Demis Hassabis and Josh Woodward, just ahead of the launch. Guests:Demis Hassabis, chief executive and co-founder of Google DeepMindJosh Woodward, vice president of Google Labs and Google Gemini Additional Reading: The Man Who ‘A.G.I.-Pilled' Google We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app.

The relentless shifts towards AI powered everything being everywhere in the digital environment are accelerating and the evolution of digital marketing services is starting to keep pace. Previsible, which recently bought the legendary agency Internet Marketing Ninjas, announced the acquisition of Googlite founded data-driven search agency Improove. Google introduces Opal, an AI tool that it claims can create scalable content and apps for search campaigns as a Google Labs project. This contradicts virtually everything Google's previously said about using AI generated content at scale so it might be Google moving into the search marketing space on purpose or it could be one part of the Googleverse running ahead of another without first making sure their narratives aligned with each other. Meanwhile, we've learned how much it will cost for Gemini to white label itself to Apple's Siri, $1Billion per year. Apple will pay Google a cool $1B to have Gemini act in the background with Siri's familiar tone in the foreground. This while Google is accused in a civil suit of using Gemini to track private communications of users in email, messaging apps and video-conferencing sessions. The case, Thele v. Google LLC, 25-cv-09704, is being heard in a district court in San Jose. Google is also defending its algorithmic actions targeting parasitic SEO programs after the EU announced an investigation into a complaint that Google intentionally demoted several news sites in search results. It may be a case of abuse of a parasitic complaints process. Yann LeCun, chief AI scientist at Meta is openly talking about quitting and founding his own startup. LeCun has said he no longer believes in the long term viability of LLMs. Canadian Bitcoin mining giant Bitfarms is winding down its energy on grinding out bitcoins to focusing on becoming an AI data center powerhouse. This, and so much more on a long and sort of flu-ridden episode of Webcology. BTW, PSA --> Sickness sucks. Get your flu shot ASAP.Support this podcast at — https://redcircle.com/webcology/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

In today's episode, we'll explore Learn Your Way, an AI powered learning project from Google Labs. Visit AVID Open Access to learn more.

Jed Borovik, Product Lead at Google Labs, joins Latent Space to unpack how Google is building the future of AI-powered software development with Jules. From his journey discovering GenAI through Stable Diffusion to leading one of the most ambitious coding agent projects in tech, Borovik shares behind-the-scenes insights into how Google Labs operates at the intersection of DeepMind's model development and product innovation. We explore Jules' approach to autonomous coding agents and why they run on their own infrastructure, how Google simplified their agent scaffolding as models improved, and why embeddings-based RAG is giving way to attention-based search. Borovik reveals how developers are using Jules for hours or even days at a time, the challenges of managing context windows that push 2 million tokens, and why coding agents represent both the most important AI application and the clearest path to AGI. This conversation reveals Google's positioning in the coding agent race, the evolution from internal tools to public products, and what founders, developers, and AI engineers should understand about building for a future where AI becomes the new brush for software engineering. Chapters 00:00:00 Introduction and GitHub Universe Recap 00:00:57 New York Tech Scene and East Coast Hackathons 00:02:19 From Google Search to AI Coding: Jed's Journey 00:04:19 Google Labs Mission and DeepMind Collaboration 00:06:41 Jules: Autonomous Coding Agents Explained 00:09:39 The Evolution of Agent Scaffolding and Model Quality 00:11:30 RAG vs Attention: The Shift in Code Understanding 00:13:49 Jules' Journey from Preview to Production 00:15:05 AI Engineer Summit: Community Building and Networking 00:25:06 Context Management in Long-Running Agents 00:29:02 The Future of Software Engineering with AI 00:36:26 Beyond Vibe Coding: Spec Development and Verification 00:40:20 Multimodal Input and Computer Use for Coding Agents

Mardi 4 novembre, François Sorel a reçu Marion Moreau, journaliste et fondatrice d'Hors Normes Média. Alain Goudey, directeur général adjoint de Neoma Business School, ainsi que Cédric Ingrand, directeur général de Heavyweight Studio et ancien journaliste à TF1 et LCI. Ils se sont penchés sur la nouvelle mission commerciale d'Ariane 6 avec le satellite Sentinel-1D, la première autorisation mondiale de conduite mains libres à 130 km/h pour BMW, Coca-Cola qui dévoile sa campagne de Noël, 100% IA, ainsi que Google Labs qui démocratise la pub IA avec Pomelli, dans l'émission Tech & Co, la quotidienne, sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.

Découvrez GenType, un outil expérimental de Google Labs qui permet de générer des alphabets imagés avec l'IA.Dans ce podcast vous apprendrez comment transformer ces lettres rigolotes en séquences pédagogiques engageantes ! Entre cartes à jouer imprimées et "padlet de lettres" interactif, Clément et Olivier nous montrent comment un outil fun peut devenir redoutablement efficace pédagogiquement.en créant un jeu de cartes pour faire deviner des mots-clés en ouverture d'une formation - sur le blended learning - à l'aide des lettres imprimées; en favorisant la collaboration, la réflexion, et l'engagement… avec des buzzers et des points à gagner !en partageant une version digitale sur Padlet, où les apprenants déplacent les lettres en ligne pour reformer et ancrer les concepts en fin d'une séquence d'apprentissage.Et en bonus : c'est gratuit, ludique, et ça donne du beau matériel pédagogique, à garder ou à réutiliser !Et pour tester :le lien vers l'outil le lien vers le "padlet de lettres"

The tools we use shape how we work, what we see, and how we think. Dmitri Glazkov, Strategy Lead at Google Labs, initiated Breadboard and helped launch Opal—tools that let people connect prompts into systems that think together like Tinkertoys for the mind. His passion is building technology that makes creativity easier and more human. In this episode, Dart and Dmitri explore how AI can capture tacit knowledge, why strategy gets embedded in culture, and how to design “tiny brains” that think with us, not for us.Dmitri Glazkov is Strategy Lead at Google Labs and the initiator of Breadboard, the open-source foundation for Google's Opal project. He is a longtime Google engineer and an early contributor to Chrome and Web Components.In this episode, Dart and Dmitri discuss:- How AI tools reshape the experience of work- Why Breadboard and Opal make creativity easier- How AI can help capture and share tacit knowledge- The difference between dandelion and elephant growth strategies- How strategy becomes embodied in company culture- What “lensical thinking” means and how to use it- Why Dmitri calls Opal a cognitive WYSIWYG- How chains of prompts can act as “tiny brains”- And other topics…Dmitri Glazkov is the Strategy Lead at Google Labs and the initiator of Breadboard, the open-source project that underpins Google's Opal tool for creative AI experimentation. Over nearly two decades at Google, Dmitri has shaped how people interact with technology—from helping build Chrome and pioneering Web Components to exploring how artificial intelligence can amplify human thought. His work focuses on designing systems that think with us, not for us, making creativity more accessible to everyone. Resources Mentioned:Opal: https://opal.withgoogle.comDmitri's Blog: https://glazkov.comDart and Dmitri's article, “The Unvarying Infrastructure of Variation”: https://read.fluxcollective.org/p/69Connect with Dmitri:LinkedIn: https://www.linkedin.com/in/dglazkov Work with Dart:Dart is the CEO and co-founder of the work design firm 11fold. Build work that makes employees feel alive, connected to their work, and focused on what's most important to the business. Book a call at 11fold.com.

Most people spend over 30 hours a year dealing with customer service—on hold, repeating account numbers, and navigating endless phone trees. But what if AI could fix that without losing the human touch?Clay Bavor, co-founder of Sierra (now valued at $10B) and former VP at Google, joins us to explore how AI agents are reshaping how companies interact with customers and what that means for the most complex service industry in the world: healthcare.We cover:

Freeplay AI emerged from a precise timing insight: former Twitter API platform veterans Ian Cairns and Eric Schade recognized that generative AI created the same platform opportunity they'd previously captured with half a million monthly active developers. Their company now provides the observability, evaluation, and experimentation infrastructure that lets cross-functional teams—including non-technical domain experts—collaborate on AI systems that need to perform consistently in production. Topics Discussed: Systematic customer discovery: 75 interviews in 90 days using jobs-to-be-done methodology to surface latent AI development pain points Cross-functional AI development: How domain experts (lawyers, veterinarians, doctors) became essential collaborators when "English became the hottest programming language" Production AI reliability challenges: Moving beyond 60% prototype success rates to consistent production performance Enterprise selling to technical buyers: Why ABM and content worked where ads and outbound failed for VPs of engineering Category creation without precedent: Building thought leadership through triangulated insights across hundreds of implementations Offline community building: Growing 3,000-person Colorado AI meetup with authentic "give first" approach GTM Lessons For B2B Founders: Structure customer discovery with jobs-to-be-done rigor: Ian executed a systematic 75-interview program in 90 days, moving beyond surface-level feature requests to understand fundamental motivations. Using Clay Christensen's framework, they discovered engineers weren't just frustrated with 60% AI prototype reliability—they were under career pressure to deliver AI wins while lacking tools to bridge the gap to production consistency. This deeper insight shaped Freeplay's positioning around professional success metrics rather than just technical capabilities. Exploit diaspora networks from platform companies: Twitter's developer ecosystem became Ian's customer research goldmine. Platform company alumni have uniquely valuable networks because they previously interfaced with hundreds of technical teams. Rather than cold outreach, Ian leveraged existing relationships and warm introductions to reach heads of engineering who were actively experimenting with AI. This approach yielded higher-quality conversations and faster pattern recognition across use cases. Target sophistication gaps in technical buying committees: Traditional SaaS tactics failed because Freeplay's buyers—VPs of engineering at companies building production AI—weren't responsive to ads or generic outbound. Instead, Ian invested in deep technical content (1500-2000 word blog posts), speaking engagements, and their "Deployed" podcast featuring practitioners from Google Labs and Box. This approach built credibility with sophisticated technical audiences who needed education about emerging best practices, not product demos. Build authority through cross-portfolio insights: Rather than positioning as AI experts, Ian built trust by triangulating learnings across "hundreds of different companies" and sharing pattern recognition. Their messaging became "don't just take Freeplay's word for it—here's what we've seen work across environments." This approach resonated because no single company had enough AI production experience to claim definitive expertise. Aggregated insights became more valuable than individual case studies. Time market entry for the infrastructure adoption curve: Ian deliberately positioned Freeplay for companies "3, 6, 12 months after being in production" rather than competing for initial AI experiments. They recognized organizations don't invest in formal evaluation infrastructure until they've proven AI matters to their business. This patient approach let them capture demand at the moment companies realized they needed serious operational discipline around AI systems. //  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

Productie zonder mensen klinkt als sciencefiction. Toch bestaan deze zogeheten dark factories al. Deze aflevering in het kort:☑️ Wat dark factories zijn en hoe ze werken☑️ Waarom datacenters essentieel zijn voor de maakindustrie☑️ Zelf AI mini-apps bouwen met OpalStel je een fabriek voor waar de lichten uit kunnen blijven. Robots draaien dag en nacht door, zonder pauze, zonder fouten en zonder menselijke handen op de werkvloer. Dit is de dark factory: een productielocatie die volledig autonoom opereert. Wat ooit toekomstmuziek leek, is in China al realiteit. Neem een bedrijf als Xiaomi, dat een al volledig geautomatiseerde smartphonefabriek runt. Maar hoe ver is Nederland eigenlijk in deze ontwikkeling? En wat betekent dit voor de toekomst van werk?

Google is bringing Gemini into Windows territory, taking on Microsoft Copilot right from your desktop. Is the world's most popular browser about to change how you work with AI on Windows? Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Google is bringing Gemini into Windows territory, taking on Microsoft Copilot right from your desktop. Is the world's most popular browser about to change how you work with AI on Windows? Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Google is bringing Gemini into Windows territory, taking on Microsoft Copilot right from your desktop. Is the world's most popular browser about to change how you work with AI on Windows? Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Google is bringing Gemini into Windows territory, taking on Microsoft Copilot right from your desktop. Is the world's most popular browser about to change how you work with AI on Windows? Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Ask a question on our Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Vlog: https://www.youtube.com/@kumajourney11 Mark's Personal Youtube Channel: https://www.youtube.com/@markkuczmarski896 Attend a live event: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/  Mark Linked in: https://www.linkedin.com/in/markkuczmarski/  In this episode of the Generative AI Meetup Podcast, hosts Shashank (a software engineer at Google Labs working on the AI vibe design tool Stitch) and Mark (a former Amazon engineer now building a stealth startup) dive into the world of "vibe coding"—a revolutionary approach to programming inspired by AI researcher Andrei Karpathy. Vibe coding lets you focus on the big picture and product vision while letting large language models (LLMs) handle the nitty-gritty details, melting away traditional coding hurdles. Shashank walks through his weekend project, Convo (convochat.io), an AI-powered app that analyzes exported chat backups from WhatsApp, Telegram, Facebook Messenger, or SMS. It delivers fun stats (like 11,000 messages sent to a friend over four years), conversation summaries, sentiment analysis, and even tips for better chats—all built with minimal manual coding. The duo shares practical tips for vibe coding success: brainstorming ideas with Claude, designing UIs in Stitch, building with tools like Cursor or Replit, using Git for checkpoints, picking popular frameworks (e.g., Tailwind CSS), writing tests, debugging with logs, optimizing SEO, and branding with AI-generated logos. They discuss pros (rapid prototyping, low costs—Shashank spent just $18), cons (scaling challenges, bug fixes), and best practices for beginners, including modularity, documentation, and refactoring. Whether you're a seasoned dev or a total newbie, this episode shows how AI tools can turn ideas into launched MVPs in days, not months. Tune in for inspiration, real-world examples, and motivation to vibe code your next project!

What if, thanks to AI, you can now research and write a book two, three, or even four times faster? For authors and AI pioneers Steven Johnson (Editorial Director, NotebookLM and Google Labs) and Ethan Mollick (Wharton professor and creator of One Useful Thing), that's the new reality. In this episode, they crack open their personal toolkits to reveal the prompts and workflows they use to supercharge their creativity. What you'll learn: How Steven used AI to write 40,000 words in 72 hours. The specific AI tools Steven and Ethan rely on for researching and writing. Whether AI will ever write better than humans. How the very concept of a "book" may morph into an interactive, personalized experience that readers can query, customize, and even turn into a game. Further listening: BILL GATES: Superhuman AI May Be Closer Than You Think SAL KHAN: How AI Will Revolutionize the Way We Learn MARYANNE WOLF: Are We Forgetting How To Read? STEVEN JOHNSON & DAVID CHALMERS: Artificial Intelligence Meets Virtual Worlds ADAM BROTMAN & ANDY SACK: The AI Tsunami Is Already Here ——— This episode is brought to you by AUTHOR INSIDER, our exclusive community and learning platform for ambitious creators. What's Inside: ✅ Innovative strategies from bestselling authors and industry experts ✅ Audience growth tactics to expand your readership and revenue ✅ Vibrant creator community for networking and collaboration ✅ Exclusive content not available anywhere else

There's millions of people who want to vibe code -- but don't know where to get started.After all... vibe coding tools often are still full-stack enterprise powerhouses with a steep uphill learning curve. If only there were a simpler vibe coding platform that didn't even have code. That's Google Opal. And for this rendition of AI at Work Wednesday, we show you how to use Google's Opal to create simple apps that tackle some of your most repetitive, redundant tasks.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Opal Vibe Coding Tool OverviewHow to Use Google Opal: Step-by-StepOpal vs. Cursor, Replit, Copilot ComparisonBuilding No-Code AI Apps with OpalGoogle Opal Natural Language Workflow CreationOpal for Task-Based AI App DevelopmentGoogle Opal Beta Features and LimitationsPrebuilt Google Opal Apps and TemplatesVisual Editor and App Sharing in OpalOpal's Integration with Gemini AI ModelsTimestamps:00:00 "Everyday AI for Business Leaders"04:34 "Opal: Easy No-Code AI Apps"07:33 "Validate Ideas Before Full Development"11:25 Interactive Canvas with Chat Integration14:36 "Podcast: Interactive Instruction Feature"19:13 Efficient Research for Timely Episodes22:16 "Real-Time Deep Research Process"24:20 "Trends in Smaller Language Models"29:05 Improving Podcast Visual Strategies30:58 Remixing Apps with Google Opal35:45 "No-Code Opal Revolutionizes MVP Development"37:11 "Opal Tool Demos for Users"Keywords:Google Opal, Opal vibe coding, vibe coding tool, no code AI, Google AI, Google Labs, natural language app builder, AI app generator, AI workflow automation, task apps, visual app builder, Google Gemini, Gemini app, AI chaining, Google AI models, Gemini 2.5, Gemini Pro, Gemini Flash, AI image generation, VO3, audio LM, Lyria 2, multimodal AI, deep research, interactive web application, app editor, Opal gallery, prebuilt AI apps, app remixing, AI output customization, AI for nontechnical users, AI chaining tools, Google Jules, Cursor, GitHub CopilotSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Is AI just better software? Or something completely different that requires a new paradigm to understand? Today we sit down with Bret Taylor and Clay Bavor, two of the best product builders in the world to tackle that question. Bret and Clay are the co-founders of the AI company Sierra.Brett's resume reads like a greatest hits of Silicon Valley: co-creator of Google Maps, founder of FriendFeed (acquired by Facebook where he became CTO), founder of Quip (acquired by Salesforce where he became co-CEO), former Chairman of the Board at Twitter, and current Chairman of the Board at OpenAI. Clay spent 18+ years at Google, starting as an APM alongside Brett and eventually running product for Gmail, Drive, Docs (all of Google Workspace), Google Labs, and the company's AR/VR efforts.In addition to AI, today's conversation has some great tech industry history discussion and old Google stories, perfect to tide us all over between Google Part I and Part II!Additional Topics:The accelerating adoption curves of technology waves, and if we'll ever see an app that gets a billion users in one daySecond- and third-order effects of agents on the internet economy and customer experienceMaking predictions on which AI terminology will stick and what won'tNew pricing models in the era of AI, like “outcome-based pricing”What it's like to build teams in this new AI eraLinks:SierraSponsors:Plaid: https://plaid.com

Todd Ogasawara and Jon Westfall covered a range of interesting topics, from real-world natural disasters to the cutting edge of AI development and personal tech. Todd shared his recent experience during a statewide tsunami alert in Hawaii, triggered by an 8.8 magnitude earthquake off Russia. While initial information was well-managed, he highlighted significant issues with traffic chaos during evacuation and a concerning lack of information post-wave impact. On the technology front, Todd discussed Google Notebook LM, praising its ability to create succinct summaries and slideshows with voiceovers from source material. He also introduced Google Opal, a new experimental tool from Google Labs that allows users to build and share powerful AI mini-apps using natural language and visual editing, describing it as a "step beyond Visual Basic" for accelerating AI prototyping and workflows. Jon Westfall also shared his recent tech purchases and an exciting new project. He acquired an 8Bitdo Micro Bluetooth Gamepad, a pocket-sized mini-controller weighing just 24.8 grams with 16 buttons. Its versatility allows it to function as a game controller for Switch, Android, and Raspberry Pi, or as a keyboard mode device for various applications, including as a remote for his new Kobo Libra Colour eReader. The Kobo Libra Colour features a 7" E Ink Kaleido™ 3 color display and Kobo Stylus 2 compatibility for colorful mark-ups and note-taking, with notebooks backed up to Kobo Cloud, Dropbox, or Google Drive. Jon also unveiled his open-source project, Uncle John's Bank, a self-hostable banking system for parents and kids designed to teach financial literacy, notably incorporating daily compounding interest and Certificates of Deposit (CDs). This sophisticated project was developed remarkably fast (75 hours) thanks to extensive use of OpenAI Codex, which integrated directly with his GitHub repository, even writing developer documentation. However, Jon noted a peculiar issue where GitHub Copilot (AI) reviewing Codex (AI)-generated code sometimes caused new problems, suggesting limitations in AI-to-AI code interaction. Finally, Jon shared intriguing results from asking various AIs (Google Gemini, ChatGPT, Microsoft Copilot, Anthropic Claude) for investment advice, observing their diverse recommendations and risk appetites.

The NATO Innovation Fund is entering a new chapter, marked by the arrival of two new partners and the departure of its penultimate founding team partner. Also, Google is testing a new vibe-coding tool called Opal, available in the U.S. through Google Labs, that lets users quickly spin up web apps with just a few prompts. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Could GPT-5 only be weeks away?Why are Microsoft and Google going all in on vibe coding?What's the White House AI Action Plan actually mean?Don't spend hours a day trying to figure out what AI means for your company or career. That's our job. So join us on Mondays as we bring you the AI News That Matters. No fluff. Just what you need to ACTUALLY pay attention to in the business side of AI. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT-5 Release Timeline and FeaturesGoogle Opal AI Vibe Coding ToolNvidia B200 AI Chip Black Market ChinaTrump White House AI Action Plan DetailsMicrosoft GitHub Spark AI Coding LaunchGoogle's AI News Licensing NegotiationsMicrosoft Copilot Visual Avatar (“Clippy” AI)Netflix Uses Generative AI for Visual EffectsOpenAI Warns of AI-Driven Fraud CrisisNew Google, Claude, and Runway AI Feature UpdatesTimestamps:00:00 "OpenAI's GPT-5 Release Announced"04:57 OpenAI Faces Pressure from Gemini07:13 EU AI Act vs. US AI Priorities12:12 Black Market Thrives for Nvidia Chips13:46 US AI Action Plan Unveiled19:34 Microsoft's GitHub Spark Unveiled21:17 Google vs. Microsoft: AI Showdown25:28 Google's New AI Partnership Strategy29:23 Microsoft's Animated AI Assistant Revival33:52 Generative AI in Film Industry38:55 AI Race & Imminent Fraud Crisis40:15 AI Threats and Future InnovationsKeywords:GPT 5 release date, OpenAI, GPT-4, GPT-4O, advanced reasoning abilities, artificial general intelligence, AGI, O3 reasoning, GPT-5 Mini, GPT-5 Nano, API access, Microsoft Copilot, model selector, LM arena, Gemini 2.5 Pro, Google Vibe Coding, Opal, no-code AI, low-code app maker, Google Labs, AI-powered web apps, app development, visual workflow editor, generative AI, AI app creation, Anthropic Claude Sonet 4, GitHub Copilot Spark, Microsoft GitHub, Copilot Pro Plus, AI coding tools, AI search, Perplexity, news licensing deals, Google AI Overview, AI summaries, click-through rate, organic search traffic, Associated Press, Condé Nast, The Atlantic, LA Times, AI in publishing, generative AI video, Netflix, El Eternauta, AI-generated visual effects, AI-powered VFX, Runway, AI for film and TV, job displacement from AI, AI-driven fraud, AI voice cloning, AI impersonation, financial scams, AI regulation, White House AI Action Plan, executive orders on AI, AI innovation, AI deregulaSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Join me as I chat with Josh Woodward, VP of Google Labs & Gemini, as he showcases Google's latest AI products and their capabilities. The conversation covers Gemini's advanced features including personalized context integration and video generation, Flow's AI filmmaking capabilities, Notebook LM's research and knowledge exploration tools, Stitch's UI design automation, and Project Mariner's autonomous web task execution. Throughout the demonstration, Josh highlights how these tools can empower both professionals and individuals to create high-quality content and automate tasks. Timestamps: 00:00 - Intro 01:57 - Gemini app features and capabilities 06:53 - Video generation with Gemini 13:53 - Flow AI filmmaking tool demonstration 21:17 - Notebook LM research and knowledge exploration 26:47 - Stitch UI design tool overview 31:04 - Project Mariner autonomous web agent demo Checkout Google's AI Product Suite: https://labs.google Key Points: • Josh Woodward demonstrates five Google AI products: Gemini, Flow, Notebook LM, Stitch, and Project Mariner • Gemini features include scheduled actions, personalized context, and video generation capabilities • Flow is an AI filmmaking tool that allows users to create and edit high-quality videos with simple prompts • Project Mariner enables AI agents to perform web-based tasks autonomously with human oversight The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: http://boringmarketing.com/ The Vibe Marketer - Join the Community and Learn: http://thevibemarketer.com/ Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND JOSH ON SOCIAL X/Twitter: https://x.com/joshwoodward LinkedIn: https://www.linkedin.com/in/joshwoodward/

David Webster is the head of UX at Google Labs, the company’s experimental AI division. When he stepped into the role in 2022, the tech world was scrambling to respond to the rise of ChatGPT — and Google Labs was no exception. Since then, the team has launched several high-profile projects, including the viral NotebookLM. Webster joins Oz to share his philosophy on human-centered design and how it shapes Google’s AI experiments.See omnystudio.com/listener for privacy information.

Most leaders learn on the fly—and Kim knows the bruises that come with it. In this episode she joins longtime Google Distinguished Designer Ryan Germick to discuss the innovative "Kim Scott Portrait," an AI-powered tool designed by Google Labs (and trained by the real Kim) to scale Kim's expertise and deliver Radically Candid advice 24/7. Discover how this new technology aims to humanize AI, free authors from the burden of answering repetitive questions, and foster more productive communication in the workplace. Get all of the show notes at ⁠⁠⁠⁠⁠⁠⁠⁠RadicalCandor.com/podcast⁠⁠⁠⁠⁠⁠⁠⁠. Episode Links: Transcript Now You Can Talk Radical Candor 24/7 With the Kim Scott Portrait Google Portrait | Kim Scott Ryan Germick - Google | LinkedIn Connect: ⁠⁠⁠⁠⁠⁠⁠⁠Website⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠ Chapters: (00:00:00) Introduction Kim and Ryan Germick introduce the “Portrait” collaboration—an AI version of Kim designed to scale her coaching. (00:01:33) Live Coaching Demo Kim's Portrait answers a tough management question. (00:03:36) Why the Portrait Matters How the Portrait helps Kim reach more people and free up time for writing. (00:05:38) Kim's Next Book A look into Kim's upcoming optimistic novel set in 2070. (00:06:30) Family Interactions with the Portrait Funny and revealing story of Kim's son debating the AI. (00:08:10) The “Automated Kim” Origin Story How a team joke at Google inspired the Portrait concept. (00:09:29) Coaching at Scale Why books and AI scale Kim's message better than 1:1 coaching. (00:11:41) Personalized vs Generic AI The value of expert-driven Portraits over average LLM responses. (00:12:57) Training the Portrait Kim explains her hands-on role in fine-tuning its responses. (00:14:44) Solving Repetitive Questions How Portraits provide patient, consistent answers to FAQs. (00:16:07) Productive Disagreement Through Portraits The vision for AI-facilitated, respectful debates. (00:17:26) Expanding Globally Plans for multi-language and international Portrait availability. (00:17:48) Real-World Use Cases The ways Portraits support work, life, and social media decisions. (00:20:23) Empathy-Driven AI AI as a personal board of directors, with lived-experience expertise. (00:23:51) Empowering Creators Portraits can be embedded on creators' own platforms—no lock-in. (00:26:19) Lived Experience as Research Kim defends storytelling as a valid path to truth and insight. (00:28:24) Supporting New Managers Portraits offer guidance during the lonely transition into leadership. (00:31:11) Navigating Difficult Bosses Portraits can help employees manage up with empathy and agency. (00:33:30) Changing Workplace Culture Helping people shift from silence or aggression to Radical Candor. (00:36:17) Personality Extenders Portraits as scalable human touchpoints for the future. (00:38:51) Creating Your Own Portrait How to create your own Portrait and scale your voice. (00:39:48) Conclusion Learn more about your ad choices. Visit megaphone.fm/adchoices

In this eclectic and geek-fueled episode of AwesomeCast, Michael Sorg and Katie Dudas (with a quick cameo from Dave Podnar) dive into everything from espresso martinis and new podcasts to the latest in airport infrastructure and retro gaming. Plus, get a firsthand review of Google's experimental AI fashion app and marvel at micro-sized McDonald's nostalgia. This week's Chachi Says Video Game Minute also brings a science twist to gaming's effects on stress and autism research. From Lego X-Files to Denver's Eye of Sauron, it's an awesome mix of tech, nostalgia, and the downright bizarre.

In this eclectic and geek-fueled episode of AwesomeCast, Michael Sorg and Katie Dudas (with a quick cameo from Dave Podnar) dive into everything from espresso martinis and new podcasts to the latest in airport infrastructure and retro gaming. Plus, get a firsthand review of Google's experimental AI fashion app and marvel at micro-sized McDonald's nostalgia. This week's Chachi Says Video Game Minute also brings a science twist to gaming's effects on stress and autism research. From Lego X-Files to Denver's Eye of Sauron, it's an awesome mix of tech, nostalgia, and the downright bizarre.

Brian Brushwood joins us to explain how he uses camera robots to help him with his podcasting setup. Is it too soon to call Microsoft Copilot+ PCs a failure? Google Labs launches Doppl, a new experimental iOS and Android app that lets you virtually try on outfits via AI generated images of yourself. Starring Sarah Lane, Tom Merritt, Robb Dunewood, Brian Brushwood, Roger Chang, Joe. To read the show notes in a separate page click here! Support the show on Patreon by becoming a supporter!

In this episode of Project Synapse, Jim and Marcel navigate a rapidly evolving AI landscape while John appears intermittently through AI-generated clips, with his permission. They delve into intriguing developments at Google Labs, including a mysterious AI model that briefly appeared and vanished. The discussion highlights the differing ambitions of Google and OpenAI, examining Google's focus on creating a comprehensive information hub versus OpenAI's broad-reaching aspirations, like the recent OpenAI for Business initiative. A central theme is the persistent rivalry in AI, specifically between Gemini and ChatGPT, while also touching on niche players like Anthropic's Claude and Perplexity. The conversation takes a deep dive into the complexities of integrating AI into daily life, the potential benefits, and the significant risks, including issues surrounding privacy and identity. Counterpoint to their technical musings is a look at the societal impacts of AI, including job displacement and the need for universal basic income. Finally, the hosts ponder the unsettling yet fascinating future where personal identity might be verified through biometric scanning, as proposed by World ID. 00:00 Introduction and Setting the Scene 00:40 Unexpected Developments in AI 01:53 Google vs. OpenAI: The Rivalry 03:55 AI Integration in Everyday Life 04:36 The Rise of Niche AI Players 05:42 Personal Experiences with AI Tools 12:10 The Future of AI and Privacy Concerns 17:20 The Evolution of AI and Robotics 26:53 Smart Home Integration and Standards 34:21 The Illusion of Choice in Technology 36:13 The Privacy Paradox 36:31 The Integration of AI in Daily Life 38:52 The Rise of Deep Fakes and Identity Theft 41:35 The Future of Personal Data and Security 44:51 The Debate on Universal Identification 46:52 The Acceleration of Technological Change 52:19 The Need for Intelligent Design in AI 53:34 The Role of Governments and Corporations 01:04:11 Concluding Thoughts and Future Discussions

Fresh off impressive releases at Google's I/O event, three Google Labs leaders explain how they're reimagining creative tools and productivity workflows. Thomas Iljic details how video generation is merging filmmaking with gaming through generative AI cameras and world-building interfaces in Whisk and Veo. Jaclyn Konzelmann demonstrates how Project Mariner evolved from a disruptive browser takeover to an intelligent background assistant that remembers context across multiple tasks. Simon Tokumine reveals NotebookLM's expansion beyond viral audio overviews into a comprehensive platform for transforming information into personalized formats. The conversation explores the shift from prompting to showing and telling, the economics of AI-powered e-commerce, and why being “too early” has become Google Labs' biggest challenge and advantage. Hosted by Sonya Huang, Sequoia Capital 00:00 Introduction 02:12 Google's AI models and public perception 04:18 Google's history in image and video generation 06:45 Where Whisk and Flow fit 10:30 How close are we to having the ideal tool for the craft? 13:05 Where do the movie and game worlds start to merge? 16:25 Introduction to Project Mariner 17:15 How Mariner works 22:34 Mariner user behaviors 27:07 Temporary tattoos and URL memory 27:53 Project Mariner's future 29:26 Agent capabilities and use cases 31:09 E-commerce and agent interaction 35:03 Notebook LM evolution 48:26 Predictions and future of AI Mentioned in this episode:  Whisk: Image and video generation app for consumers Flow: AI-powered filmmaking with new Veo 3 model Project Mariner: research prototype exploring the future of human-agent interaction, starting with browsers NotebookLM: tool for understanding and engaging with complex information including Audio Overviews and now a mobile app Shop with AI Mode: Shopping app with a virtual try-on tool based on your own photos Stitch: New prompt-based interface to design UI for mobile and web applications. ControlNet paper: Outlined an architecture for adding conditional language to direct the outputs of image generation with diffusion models

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

In the mid-2000s, Ben Brown started his career designing demand response programs that relied on pagers and telephones. Today, as Renew Home's CEO, he's leveraging AI and tens of millions of connected smart devices to help households save energy and create an entirely new approach to grid management. Renew Home is building a new kind of virtual power plant that moves beyond occasional emergency events toward continuous, subtle energy shifts across millions of connected households. "The biggest evolution is connected devices," explains Brown, who previously led energy product development at Google after its acquisition of Nest. During his time at Google Labs working on large language models, Brown also witnessed firsthand the massive energy demands that AI would place on our grid. This realization, combined with his work on smart home technology, led Brown to envision a new approach to virtual power plants – one built on subtle, personalized adjustments across millions of homes rather than occasional disruptive events. “There's actually a lot more value continuously throughout the year, over hundreds of hours where customers can save more money by helping support the grid." With DOE projections showing a 200 gigawatt peak on the US grid by 2030, Renew Home's approach offers a compelling alternative to building new power plants. By focusing on customer control and personalization, they've achieved 75% opt-in rates, while creating a resource that is far cheaper than gas peakers. In this episode, recorded as part of a live Frontier Forum, Stephen Lacey talks with Ben Brown about the next generation of virtual power plants.  How does Renew Home's approach differ from demand response or battery-based VPPs? And what role can it play in addressing the grid's urgent needs? This is a partner episode, brought to you by Renew Home. It was recorded live as part of Latitude Media's Frontier Forum series. Watch the full video to hear more details about next-generation VPPs.

Welcome to episode 300 of The Cloud Pod – where the forecast is always cloudy! According to the title, this week's show is taking place inside of a Dr. Suess book, but don't despair – we're not going to make you eat green eggs and ham, but we WILL give you the low down on all things Vegas. Well, Google's Next event which recently took place in Vegas anyway. Did you make any Next predictions?  Titles we almost went with this week: This is the CLOUDPOD Episode 300 Tonight we dine in the Cloud The Next Chapter Now in Preview: Episode 300 A big thanks to this week's sponsor: We're sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You've come to the right place! Send us an email or hit us up on our slack channel for more info.  GCP Pre-Next 02:35 Google shakes up Gemini leadership, Google Labs head taking the reins  There was a lot of Gemini news at Next – but we'll get to all that.  In this particular case, there's an employee shakeup. Sissie Hsiao is stepping down from leading the Google team, and is being replaced by Josh Woodward, who is currently leading the Google Labs.  04:35 Filestore instance replication now available GCP says customers have been asking for help in meeting business and regulatory goals, and so they are releasing Filestore instance replication. This new feature offers an efficient replication point objective (RPO) that can reach 30 minutes for data change rates of 100 MB/sec. 05:16 Multi-Cluster Orchestrator for cross-region Kubernetes workloads The public preview of Multi-Cluster Orchestrator was recently announced. This lets platform and application teams optimize resource utilization, enhance application resilience, and accelerate innovation in complex, multi-cluster environments.  The need for effective multi-cluster management has become essential as organizations increasingly use Kubernetes to deploy and manage their applications; Challenges such as resource scarcity, ensuring high availability, and managing deployments across diverse environments create significant operational overhead. Multi-Cluster Orchestrator addresses these challenges by providing a centralized orchestration layer that abstracts away the complexities of underlying Kubernetes infrastructure matching workloads with capacity across regions. 06:26 GKE at 65,000 nodes: Evaluating performance for simulated mixed AI workloads Recently GKE announced it can now support up to 65,000 nodes (up from 15,000.)  Saint Carrie be with your CFO.  09:15

Meet Google AI mode, a new search experiment requiring application for access (which I got today).This feature provides AI-powered responses and follow-up capabilities, akin to other AI tools. I emphasize the importance for businesses to understand this shift, highlighting the necessity of a strong technical SEO foundation and relevant content to be discoverable.Furthermore, the discussion touched on Google Search Console, website performance as a car, the value of answering questions online, and the significance of platforms like Pinterest for business reach, ultimately urging businesses to adapt to evolving search technologies and build a solid online presence.Frequently Asked Questions: Understanding Google AI Mode and Its Implications1. What is Google AI Mode?Google AI Mode is a new search experiment being rolled out by Google. It represents an evolution of the AI Overviews feature, aiming to provide more comprehensive, AI-powered responses to user queries. This experiment allows for follow-up questions, creating a more conversational search experience similar to interacting with other AI tools like ChatGPT. It signifies a shift in how Google Search may function in the future, integrating AI more deeply into the core search experience.2. How is Google AI Mode different from current Google Search and AI Overviews?Currently, Google Search displays traditional listings along with AI Overviews for some queries, which provide brief AI-generated summaries. Google AI Mode appears to be a more immersive AI experience. Instead of just a summarized overview, users will engage in a more dynamic, conversational interaction with AI to get answers and explore topics. The interface itself on google.com is expected to change, potentially featuring an "AI Mode" alongside options like "Images" and "Videos."3. How can I access Google AI Mode? Is it available to everyone?Access to Google AI Mode is currently limited. It is being rolled out as an experiment, and users need to apply and join a waitlist to potentially gain access. As of late March 2025 (based on the source's timeline), it appears to be available as a test within Google Labs and requires opting in. Furthermore, it seems testing is restricted to personal Gmail accounts rather than Google Workspace accounts. Initially, it's available in the US, with potential expansion to other regions in the future.4. What are the potential benefits of Google AI Mode for users?Google AI Mode promises a more efficient and in-depth way to find information. Users can ask complex questions and engage in follow-up queries to refine their understanding without needing to navigate multiple traditional search results. This conversational approach could lead to quicker answers and a more guided exploration of topics, similar to having a knowledgeable assistant.5. How might Google AI Mode impact businesses and website traffic? The integration of AI Mode could significantly alter how users discover websites. If AI-powered responses become the primary way people get information, websites that are not referenced or linked within these AI interactions may see a decrease in organic traffic. It will become crucial for businesses to ensure their content is high-quality, trustworthy, and easily understandable by AI algorithms to be considered as a reliable source. Being linked in AI responses could become a significant driver of relevant traffic.I hope you learn something new from the new Google AI Mode.⁠⁠⁠⁠⁠⁠⁠⁠>> START YOUR 14-DAY FREE TRIAL WITH FLODESK FOR BETTER EMAIL MARKETING TODAY

As VP of Google Labs, Josh Woodward leads teams exploring the frontiers of AI applications. He shares insights on their rapid development process, why today's written prompts will become outdated and how AI is transforming everything from video generation to computer control. He reveals that 25% of Google's code is now written by AI and explains why coding could see major leaps forward this year. He emphasizes the importance of taste, design and human values in building AI tools that will shape how future generations work and create. Mentioned in this episode: Notebook LM: Personal research product based on Gemini 2 (previously discussed on Training Data.) Veo 2: Google DeepMind's new video generation model. Paul Graham on X replying to Aaron Levie's post that “One approach to take in building in AI is to do something that's too expensive to be reasonably practical right now, and just bet that the costs will drop by 10X or 100X over time. The cost curve is on your side.” Where Good Ideas Come From: Book on the history of innovation by Steven Johnson. Project Mariner: Google DeepMind's research prototype exploring human-agent interaction starting with browser use. Replit Agent: Josh's favorite new AI app The Lego Story: Book on the history of Lego. Hosted by: Ravi Gupta and Sonya Huang, Sequoia Capital 

Is Apple Intelligence as good as Apple says it is? Emily Forlini from PC Magazine shares her experience. Plus US users can try out Google Labs new image generator called Whisk. And Mark Zuckerberg announced Threads daily and monthly active users numbers. And how do they compare with X and Bluesky?Starring Tom Merritt, Sarah Lane, Emily Forlini, Roger Chang, Joe.Link to the Show Notes.

Is Apple Intelligence as good as Apple says it is? Emily Forlini from PC Magazine shares her experience. Plus US users can try out Google Labs new image generator called Whisk. And Mark Zuckerberg announced Threads daily and monthly active users numbers. And how do they compare with X and Bluesky? Starring Tom Merritt, Sarah Lane, Emily Forlini, Roger Chang, Joe. To read the show notes in a separate page click here! Support the show on Patreon by becoming a supporter!

Raiza Martin is a senior product manager for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a delightful podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that's spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. In our conversation, we discuss:• The origin story of NotebookLM• The future road map for NotebookLM• How Google Labs operates differently from the rest of Google• The development of the “Audio Overviews” feature• Key metrics and growth of NotebookLM• Stories about collaborating with author Steven Johnson• Navigating potential misuse of AI technology—Brought to you by:• Explo — Embed customer-facing analytics in your product• Sprig⁠⁠ — Build products for people, not data points• Sidebar — Accelerate your career by surrounding yourself with extraordinary peers—Find the transcript and show notes at: https://www.lennysnewsletter.com/p/googles-notebooklm-raiza-martin—Where to find Raiza Martin:• X: https://x.com/raiza_abubakar• LinkedIn: https://www.linkedin.com/in/whatsaraiza/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to NotebookLM(05:43) The genesis of NotebookLM(08:08) Innovative features and use cases(18:52) Building a startup culture within Google(24:28) Expanding user demographics(27:30) The product roadmap(32:18) Other use cases(36:11) Collaborating with Steven Johnson(42:49) Ensuring ethical AI(46:06) Future directions and user engagement—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

This week, Casey reports back from a wild day at Meta Connect, discussing what's new with Meta's efforts in artificial intelligence, virtual reality headsets and the Holy Grail — augmented reality glasses. Then, Steven Johnson, a writer and editorial director at Google Labs, stops by to talk about the company's new hit NotebookLM, which uses A.I. to turn even boring PDFs, such as user manuals and Kevin's bank records, into chatty, disturbingly good podcasts. Finally, so much happened in tech news this week that we reached for the bucket hat in the latest installment of HatGPT! Guest:Steven Johnson, author and editorial director, NotebookLM Additional Reading: Meta Unveils New Smart Glasses and Headsets in Pursuit of the MetaverseA.I. Is Mastering Language. Should We Trust What It Says?OpenAI Executives Exit as C.E.O. Works to Make the Company For-Profit We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok.