Podcasts about Nano

國研院國網中心的超級電腦「晶創25」(Nano 5)在今年上線，這是台灣新一代的AI超級電腦，排名躋身全球500大，算力高居118名。您可能常常聽到NVIDIA的GPU、AI伺服器，在這台超級電腦當中，就採用了21臺NVIDIA H100及16臺NVIDIA H200伺服器，算力強大。這麼強大的超級電腦，能做什麼呢？本集特別邀請到國家高速網路與計算中心主任張朝亮，為我們解釋超級電腦「晶創25」(Nano 5)命名的由來，以及命名中所隱含的，未來幾年，國家對超級電腦擴充的規劃。「晶創25」不但對IC設計、半導體晶片相關技術的研發，就是台灣的護國群山很有幫助。同時，對民眾關心的極端氣候、颱風預測，甚至「主權AI」，都有關鍵的影響。當然，它也肩負著扶持台灣軟體、AI與新創事業發展的使命。這集節目，讓我們來認識台灣新一代的AI超級電腦，如何跟我們的生活產生關聯。

When it comes to powering the A.I. trade, Nano Nuclear Energy (NNE) president and executive chairman Jay Yu sees his company being well-positioned. He talks about the recent deal Nano Nuclear made with the state of Illinois as just one instance of the company gaining traction in the nuclear energy space. Jay later turns to the national front, explaining how lawmakers on both sides of the aisle in D.C. remain open to the idea of nuclear as a renewable energy.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Shaders, AI, and bananas....Zap is back on the fxpodcast to break down his wildest experiments with generative AI yet.

Snoop and Sniffy are on the case after discovering what appears to be a hamster wheel under construction. Little do they know, but this is actually a Nano-Wheel, a super nano-inspired electric wheel of music, colors, and fun, built by Pflugerville's latest visitors: the Nano-Mals! What follows is a case unlike any other!

In this episode, we explore the unique features that make this tool buzzworthy. We highlight what sets this apart from other AI tools.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

We analyze the introduction of Google's strategy for expanding AI in creative tools. We discuss whether this is the future of creative expression.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

On our last Edge of Wonder live show, Ben Chasteen revealed that professional remote viewers concluded 3I/Atlas is an artificial asteroid built by intelligent beings using highly advanced technology. Visit https://rise.tv/video for free exclusive content! Visit https://metaphysicalcoffee.com for coffee that's out of this world! Ben also explained remote viewing, taught everyone how to practice it at home, and assigned a blind target for viewers to investigate. On tonight's show, Ben and Rob will review viewers' results, assess their accuracy, and reveal the target. Additionally, new updates on 3I/Atlas reveal shocking results tied to a past discovery. Another question is how did the ancients carve such precision and massive formations in rocks? What if there is evidence of ancient lasers or even nano technology? Join Ben Chasteen and Rob Counts on Edge of Wonder's Friday Night Live to explore these topics, the Bendela Effect, and the Metaphysical Minute. During the “Dig Deep” Live Q&A segment, ask Ben and Rob your questions directly. In the fan-favorite Top 10 Weirder News of the Week, hear hilarious and bizarre stories such as….only on Rise.TV. And as always we will see you out…On the edge! Telegram – https://t.me/risetvofficial Instagram – https://www.instagram.com/risetvofficial Facebook – https://www.facebook.com/risetvofficial X – https://twitter.com/risetvofficial #remoteviewing #3Iatlas #yellowstone

Co-hosts Mark Thompson and Steve Little review the biggest AI breakthroughs of 2025 so far, from DeepSeek's open-source revolution to GPT-5's unified reasoning model.Mark and Steve also celebrate FamilySearch's Full-Text Search moving from experimental labs to the main website, covering 1.4 billion records across 4,300 collections plus new summarization and filtering features.This week's Tip of the Week provides practical guidance on using Nano Banana for photo restoration, explaining when it works brilliantly and when to exercise caution with damaged images.In RapidFire, they examine competing reports on AI's environmental impact, explore Google's new AI Mode in mobile apps, and discuss the landmark antitrust ruling that forces Google to share search data with competitors.Timestamps:In the News:03:44 2025 Mid-Year Review: AI's Explosive Growth in Genealogy29:08 FamilySearch Full Text Search Is Now Live37:57 AI Success Stories in the Wild: Real Genealogists, Real ResultsTip of the Week:47:53 Best Uses for Nano Banana (Gemini Nano): Small Model, Big ImpactRapidFire:59:54 AI's Environmental Debate: Energy Costs vs. Benefits1:03:50 Google AI in Mobile Apps: What It Means for Genealogists1:11:07 Google Antitrust Ruling Issued: Impact on AI DevelopmentResource Links:Intro to Family History AI by the Family History AI Show Academyhttps://tixoom.app/fhaishowFull-Text Search (must be logged in to use this link)https://www.familysearch.org/en/search/full-text/Full-Text Search Leaves FamilySearch Labshttps://www.familysearch.org/en/blog/full-text-search-leaves-familysearch-labsHow do I use FullText Search?https://www.familysearch.org/en/help/helpcenter/article/how-do-i-use-fulltext-searchResponsible AI Photo Restorationhttps://makingfamilyhistory.com/responsible-ai-photo-restoration/WaPo AI Energy Usage, Sept 2024https://www.washingtonpost.com/technology/2024/09/18/energy-ai-use-electricity-water-data-centers/Google: How much energy does Google's AI use? We did the mathhttps://cloud.google.com/blog/products/infrastructure/measuring-the-environmental-impact-of-ai-inference/Judge orders Google to share search data as part of antitrust ruling --- but Google gets to keep Chromehttps://www.tomsguide.com/computing/search-engines/judge-orders-google-to-share-search-data-as-part-of-antitrust-ruling-but-google-gets-to-keep-chrome?utm_source=chatgpt.com Tags:Artificial Intelligence, Genealogy, Family History, DeepSeek R1, AI Reasoning, Open Source AI, Free AI Tools, ChatGPT, Claude, Google Gemini, OpenAI Operator, AI Agents, Beginner AI Guide, Research Tools, Document Analysis, AI Democratization, Context Windows, Deep Research, AI Writing, Browser Automation, Genealogy Research, AI Accessibility, Reasoning Models, AI Education

Pieter Geldenhuys, toekomskundige en direkteur by die Instituut vir Tegnologie Strategie en Innovasie, gesels oor Nano Banana. Volg RSG Geldsake op Twitter

In this episode, Ricardo introduces the concept of nano projects: ultra-short, highly focused initiatives lasting just a few days, designed to generate value quickly. Unlike megaprojects, which require months or years, nano projects respond to the need for speed and adaptation in a fast-paced world. Examples include testing a marketing channel in five days, redesigning hospital processes in a week, or running rapid pilots in the public sector. Their advantages include low risk, rapid learning, and greater team engagement, as results are quickly seen. However, they require a well-defined scope, discipline, and attention to quality. Ricardo emphasizes that they complement traditional models, helping to reduce uncertainty and stimulate innovation in short cycles. Listen to the podcast to learn more!

Neste episódio, Ricardo apresenta o conceito de nano projetos, iniciativas ultracurtas, com foco extremo e duração de poucos dias, criadas para gerar valor rapidamente. Diferente dos megaprojetos, que exigem meses ou anos, os nano projetos respondem à necessidade de velocidade e adaptação em um mundo acelerado. Exemplos incluem testar um canal de marketing em cinco dias, redesenhar processos hospitalares em uma semana ou executar pilotos rápidos no setor público. Suas vantagens são: baixo risco, aprendizado rápido e maior engajamento da equipe, já que os resultados aparecem rapidamente. Contudo, exigem escopo bem definido, disciplina e atenção à qualidade. Ricardo destaca que eles complementam os modelos tradicionais, ajudando a reduzir incertezas e estimulando a inovação em ciclos curtos. Escute o podcast para saber mais!

Everyone know Google's Nano Banana is bonkers good.

Another week, another new DJI product! This time, DJI has released the brand-new DJI Osmo Nano – a compact, modular action camera that Nino got his hands on right away. He tested it so thoroughly, he almost lost track of time and showed up late to this episode! Alongside new action cameras, we're also covering the latest Adobe Premiere Pro updates, plus a few lingering highlights from IBC. So, as always – hit that play button and enjoy your weekly dose of cine tech news!   Chapters and Articles in This Episode (00:00) – Intro   (01:05) - DJI Osmo Nano Released – Modular 52g / 0.1lb Camera with 4K120 and 10-Bit D-Log M https://www.cined.com/dji-osmo-nano-released-modular-52g-0-1lb-camera-with-4k120-and-10-bit-d-log-m/   (13:22) - GoPro Expands Lineup with MAX2 8K 360, LIT HERO, and Fluid Pro AI Gimbal https://www.cined.com/gopro-expands-lineup-with-max2-8k-360-lit-hero-and-fluid-pro-ai-gimbal/   (17:42) - Poll: Which Camera Announcment at IBC 2025 Excited you Most? https://www.cined.com/poll-which-camera-announcment-at-ibc-2025-excited-you-most/   (23:24) - Sony's IBC 2025 Updates – FX Cameras, Monitor & Control App, and the Future of Cinema Line https://www.cined.com/sonys-ibc-2025-updates-fx-cameras-monitor-control-app-and-the-future-of-cinema-line/   (31:16) - Oren Soffer on Shooting FUJIFILM GFX ETERNA 55 Launch Film “Okay” https://www.cined.com/oren-soffer-on-shooting-fujifilm-gfx-eterna-55-launch-film-okay/   (39:50) - Premiere Pro 25.5 Adds 90+ Built-In Effects, Transitions, and Animations, Plus Faster Playback https://www.cined.com/premiere-pro-25-5-adds-90-built-in-effects-transitions-and-animations-plus-faster-playback/   (45:00) - Luma AI Ray3 – Reasoning Video Model With 10-, 12-, and 16-Bit HDR, in Adobe Firefly https://www.cined.com/luma-ai-ray3-reasoning-video-model-with-10-12-and-16-bit-hdr-in-adobe-firefly/   (50:57) - Accsoon Brings Major Updates to SEE App, CineView Master 4K, and CineView M7 Series https://www.cined.com/accsoon-brings-major-updates-to-see-app-cineview-master-4k-and-cineview-m7-series/   (55:13) - iFootage Shark Slider PICO Introduced – A Compact, Affordable Motion Tool for Mobile Creators https://www.cined.com/ifootage-shark-slider-pico-introduced-a-compact-affordable-motion-tool-for-mobile-creators/ (59:10) - Saramonic Air Discussed – Ultra-Compact Wireless System With Lavalier Mic Input https://www.cined.com/saramonic-air-discussed-ultra-compact-wireless-system-with-lavalier-mic-input/   (01:03:53) - Vocas MB-260 Ultra Lightweight 4×5.65 Matte Box with Flexible Donut Ring Unveiled https://www.cined.com/vocas-mb-260-ultra-lightweight-4x5-65-matte-box-with-flexable-flexible-donut-ring-unveiled/   (01:08:05) - ORCA OR-134 Camera Assistant CASE Combines Modularity, Comfort, and Workflow Efficiency https://www.cined.com/orca-or-134-camera-assistant-case-combines-modularity-comfort-and-workflow-efficiency/   (01:10:54) - Angelbird CFexpress 4.0 Introduced – The Future of Workflows https://www.cined.com/angelbird-cfexpress-4-0-introduced-the-future-of-workflows/   We hope you enjoyed this episode! You have feedback, comments, or suggestions? Write us at podcast@cined.com 

Today, we're joined by Oliver Wang, principal scientist at Google DeepMind and tech lead for Gemini 2.5 Flash Image—better known by its code name, “Nano Banana.” We dive into the development and capabilities of this newly released frontier vision-language model, beginning with the broader shift from specialized image generators to general-purpose multimodal agents that can use both visual and textual data for a variety of tasks. Oliver explains how Nano Banana can generate and iteratively edit images while maintaining consistency, and how its integration with Gemini's world knowledge expands creative and practical use cases. We discuss the tension between aesthetics and accuracy, the relative maturity of image models compared to text-based LLMs, and scaling as a driver of progress. Oliver also shares surprising emergent behaviors, the challenges of evaluating vision-language models, and the risks of training on AI-generated data. Finally, we look ahead to interactive world models and VLMs that may one day “think” and “reason” in images. The complete show notes for this episode can be found at https://twimlai.com/go/748.

Jay Yu from Nano Nuclear Energy (NNE) joins Trading 360 to discuss his company's role within the nuclear energy space. On the heels of a U.S./U.K. nuclear deal, Jay says these developments are helping advance nuclear technology adoption, particularly small modular technology. He describes the differences between NNE's technology and prior (and much larger) versions of nuclear power plants. Jay later reveals more details about the company's U.S. Air Force contract and its connections to the military space.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Want to make a nanoscale image of the Mona Lisa? Listener Kodiak does. All they have to do is learn a bit of quantum mechanics, some thermochemical nanolithography, and then tap the genius of ancient superbrain Leonardo da Vinci! EASY!! Scientists did it!! Even though you can't see it without a powerful microscope trust us that she is smirking even harder than usual.While Trace is poking around like Ant Man, Julian roleplays as Frozen's Elsa to see if he can extinguish fire with nothing but an icy blast. Spoiler alert: you may be better off with a magical mystical freeze ray.TRY YOUR HAND AT NANO ARTThanks to Prof. Babak Anasori for coming on the show and explaining nanoscale art to us.

Watch as I create custom print on demand products in 10.5 seconds using Google's FREE Nano Banana AI in combination with Printify for automated fulfillment to a global audience!

Fill out this short listener survey to help us improve the show: https://forms.gle/bbcRiPTRwKoG2tJx8This week on Unsupervised Learning, Jacob sits down with Nicole Brichtova and Oliver Wang, the Google researchers behind "Nano Banana" - the breakthrough AI image model that achieved unprecedented character consistency and took over social media.The conversation covers how their model fits into creative workflows, why we're still in the early innings of image AI development despite impressive current capabilities, and how image and video generation are converging toward unified models. They also share honest perspectives on current limitations, safety approaches, and why the expectation of going from prompt to production-ready content is fundamentally overhyped.(0:00) Intro(1:42) Early Nano Banana Use Cases and Character Consistency(3:05) Popular Features and User Requests(3:54) Future Frontiers in Image Models(5:26) Personalization and Aesthetic Models(7:39) Model Success and User Engagement(10:59) Product Design for Different Users(19:30) Advanced Use Cases and Future Workflows(23:14) Editing Workflows and Chatbots(25:14) Google's Image Model Applications(27:12) Milestones in Image Generation(29:30) MidJourney's Success(30:54) Future of Image Models(33:55) Image Models vs. Video Models(36:35) Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

Send us a textStop wasting hours trying to design YouTube thumbnails. In this episode, I reveal how to use Nano Banana inside Google AI Studio to create thumbnails that look professional and actually drive clicks. No Photoshop skills required, no overthinking—just a fast, creator-friendly workflow.Sponsor Alert:Try Riverside.fm's new Multi-Track Editor — get 20% off any individual plan with code CLIPPED at riverside.fmHere's what you'll learn in this episode:What Nano Banana is and why Google AI Studio built it for creatorsHow to generate custom backgrounds in seconds (neon, cinematic, clean gradients—you choose)Why uploading your own headshot makes your thumbnails instantly more clickableHow to use AI avatars so you don't stress about lighting or facial expressionsThe fastest way to iterate thumbnail designs without getting stuck in PhotoshopWhether you're building a podcast channel or growing on YouTube, thumbnails matter. This tool gives you pro-level results without slowing down your content pipeline.Links Mentioned In Episode:Watch The Nano Banana TutorialThe Podcast Haven Resources:Follow me on YouTube: @podcasthaven - The page is growing!More tips, tools, and resources: The Podcast HavenPlan, Name, and Equip Your Show — All in One Place

Rob samples fresh Ethiopian coffee beans from Stumptown and plays dub beats and acoustic guitar. Loose & fun musical solo session.  IG ~ @cchpodcast

Jeff Jarvis and Jason Howell explore Google's Gemini AI lead, Alphabet hitting a $3 trillion market cap, Meta's smart glasses leaks before MetaConnect, and OpenAI unveiling ChatGPT for teens.Enjoying the AI Inside podcast? Please rate us ⭐⭐⭐⭐⭐ in your podcatcher of choice! Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:02:52 - ⁠⁠⁠⁠Alphabet becomes fourth company to reach $3 trillion market cap⁠ 0:05:48 - Here's why usage of Gemini's Nano Banana image editor is growing 0:15:10 - ⁠OpenAI and Microsoft reach tentative deal to revise partnership 0:16:12 - ⁠Microsoft is close to getting a giant new equity stake in OpenAI. It could be worth at least $150 billion. 0:16:12 - ⁠Google's new open protocol secures AI agent transactions - and 60 companies already support it 0:23:46 - ⁠Here's what the data says people ask ChatGPT 0:33:49 - ⁠The OpenAI paper on usage 0:38:30 - ⁠Anthropic on its usage 0:42:12 - ⁠⁠⁠⁠Meta Connect 2025 live updates: Ray-Bans 3, Hypernova smart glasses, Meta AI, more⁠ 0:43:08 - ⁠Meta Ray-Ban Display' Glasses Design & HUD Clips Leak Ahead Of Connect 0:52:25 - ⁠Generative Engine Optimization: How to Dominate AI Search 0:54:56 - ⁠Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope 0:57:40 - ⁠BUILDING SELF-EVOLVING AGENTS VIA EXPERIENCE-DRIVEN LIFELONG LEARNING (aka: a child-rearing) 0:59:45 - ⁠OpenAI is building a ChatGPT for teens 1:02:16 - ⁠YouTube announces new generative AI tools for Shorts creators 1:04:27 - ⁠YouTube to use AI to help podcasters promote themselves with clips and Shorts 1:07:17 - ⁠USA Today and Taboola make a chat bot 1:11:42 - ⁠OpenAI upgrades Codex with a new version of GPT-5 Learn more about your ad choices. Visit megaphone.fm/adchoices

Google Gemini Overtakes ChatGPT and Breakthroughs in Quantum Vaccine Research In this episode of Hashtag Trending, host Jim Love discusses Google's Gemini overtaking ChatGPT as the most downloaded free app, driven by its Nano Banana feature for photo editing. Researchers at the University of Saskatchewan are accelerating vaccine design using quantum computing, aiming to predict effective vaccine components. OpenAI hires Elon Musk's former CFO amidst their ongoing rivalry, signaling strategic moves in capital and compute resource management. Additionally, Apple, Google, and Meta are developing real-time universal translation tools, promising a future of seamless communication across languages. 00:00 Introduction and Headlines 00:31 Google Gemini's Rise to Fame 02:47 Quantum Computing in Vaccine Design 04:49 OpenAI's Strategic Hire Amid Rivalry 06:27 The Race for Universal Translators 08:01 Conclusion and Call to Action

Seedream 4, Comfy Cloud, new RED cameras, and more filmmaking tech updates. --The views and opinions expressed in this podcast are the personal views of the hosts and do not necessarily reflect the views or positions of their respective employers or organizations. This show is independently produced by VP Land without the use of any outside company resources, confidential information, or affiliations.

In this episode of Generation AI, hosts Ardis Kadiu and Dr. JC Bonilla explore the accelerating AI infrastructure boom following Oracle's massive 36% stock surge after announcing a $300 billion OpenAI deal. They break down Anthropic's landmark $1.5 billion copyright settlement and what it means for AI training data - companies can train on copyrighted material, but they have to buy it first. The conversation shifts to practical tools as they discuss ChatGPT's new MCP support and Replit Agent 3's autonomous coding capabilities that can work independently for 200 minutes. The hosts then examine the rise of AI influencers making millions through synthetic content, powered by Google's game-changing Nano Banana image editor and Veo 3's new vertical video capabilities that make professional social content creation cost just $12 for a 30-second ad.Opening and UVU Campus Incident (00:00:00)Reflection on September 11th anniversary, 24 years laterDiscussion of tragic incident at University of Utah Valley campusHow institutions manage crisis communicationsAnthropic's $1.5B Copyright Settlement (00:06:32)Court ruling on using pirated materials for AI trainingSettlement details: $3,000 per book for 500,000 illegally obtained booksPrecedent set: AI companies can train on copyrighted material if purchased legallyImplications for other pending lawsuits with OpenAI, Meta, and New York TimesOracle's Stock Surge and Infrastructure Boom (00:10:44)Oracle stock jumps 36% after earnings announcement$300 billion commitment from OpenAI for cloud infrastructureOracle positioning as the "shovels" in the AI gold rushHosting compute for OpenAI, XAI, Meta, and GoogleSignal that AI infrastructure spending is accelerating, not slowingChatGPT Adds Full MCP Tool Support (00:14:51)OpenAI enables MCP (Model Context Protocol) in developer modeMCP as "USB for AI agents" - standardized connection protocolExpanded connectivity beyond limited connector listInternal tools can now expose MCP servers for agent communicationReplit Agent 3: Autonomous Coding Revolution (00:16:37)Third generation agent can work independently for 200 minutesReflective loops for automatic testing and bug fixingCreates multi-step automations similar to Zapier workflowsCan build other agents and complex applications autonomouslySimulates human interaction: clicking, form filling, authenticationThe Rise of AI Influencers and Synthetic Content (00:21:27)Virtual personas making up to $10 million annuallyExamples: Luo Magalo (7.7M followers), Lil Miquella (2M followers)Brands partnering with Samsung, Versace for controlled narrativesAgencies producing synthetic influencers at scaleBalance between fiction/adventure and avoiding deceptionGoogle's Nano Banana: Image Editing Revolution (00:26:12)Transform any image through natural language promptsCharacter consistency for beginning, middle, and end framesUpdate dated content (change "2023" shirt to "2025")Top viral prompts: action figures, different decades, TV showsAvailable in Google Gemini and through APIsVeo 3 Video Generation Goes Social-First (00:28:10)50% price reduction: $0.15 per second for fast generationNew 9x16 vertical format for TikTok, Instagram Reels1080p HD output as standardFull audio integration with voice generation30-second professional ad costs just $12 to producePractical Applications for Higher Ed (00:40:51)Creating personalized content for micro-audiencesUniversity mascots with variations for different demographicsA/B testing at scale for minimal costTransparency and authenticity requirementsBrand ownership and responsibility for synthetic contentTool Recommendations and Alternatives (00:39:12)Midjourney for conceptual images and presentation loopsRunway ML Gen 3 for quick prototypesCling AI 2.1 for lip syncing and motion controlLuma Dream Machine for hyper-realistic animationsLeonardo AI as platform aggregating multiple models including Veo 3 - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Katia, Emmanuel et Guillaume discutent Java, Kotlin, Quarkus, Hibernate, Spring Boot 4, intelligence artificielle (modèles Nano Banana, VO3, frameworks agentiques, embedding). On discute les vulnerabilités OWASP pour les LLMs, les personalités de codage des différents modèles, Podman vs Docker, comment moderniser des projets legacy. Mais surtout on a passé du temps sur les présentations de Luc Julia et les différents contre points qui ont fait le buzz sur les réseaux. Enregistré le 12 septembre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-330.mp3 ou en vidéo sur YouTube. News Langages Dans cette vidéo, José détaille les nouveautés de Java entre Java 21 et 25 https://inside.java/2025/08/31/roadto25-java-language/ Aperçu des nouveautés du JDK 25 : Introduction des nouvelles fonctionnalités du langage Java et des changements à venir [00:02]. Programmation orientée données et Pattern Matching [00:43] : Évolution du “pattern matching” pour la déconstruction des “records” [01:22]. Utilisation des “sealed types” dans les expressions switch pour améliorer la lisibilité et la robustesse du code [01:47]. Introduction des “unnamed patterns” (_) pour indiquer qu'une variable n'est pas utilisée [04:47]. Support des types primitifs dans instanceof et switch (en preview) [14:02]. Conception d'applications Java [00:52] : Simplification de la méthode main [21:31]. Exécution directe des fichiers .java sans compilation explicite [22:46]. Amélioration des mécanismes d'importation [23:41]. Utilisation de la syntaxe Markdown dans la Javadoc [27:46]. Immuabilité et valeurs nulles [01:08] : Problème d'observation de champs final à null pendant la construction d'un objet [28:44]. JEP 513 pour contrôler l'appel à super() et restreindre l'usage de this dans les constructeurs [33:29]. JDK 25 sort le 16 septembre https://openjdk.org/projects/jdk/25/ Scoped Values (JEP 505) - alternative plus efficace aux ThreadLocal pour partager des données immutables entre threads Structured Concurrency (JEP 506) - traiter des groupes de tâches concurrentes comme une seule unité de travail, simplifiant la gestion des threads Compact Object Headers (JEP 519) - Fonctionnalité finale qui réduit de 50% la taille des en-têtes d'objets (de 128 à 64 bits), économisant jusqu'à 22% de mémoire heap Flexible Constructor Bodies (JEP 513) - Relaxation des restrictions sur les constructeurs, permettant du code avant l'appel super() ou this() Module Import Declarations (JEP 511) - Import simplifié permettant d'importer tous les éléments publics d'un module en une seule déclaration Compact Source Files (JEP 512) - Simplification des programmes Java basiques avec des méthodes main d'instance sans classe wrapper obligatoire Primitive Types in Patterns (JEP 455) - Troisième preview étendant le pattern matching et instanceof aux types primitifs dans switch et instanceof Generational Shenandoah (JEP 521) - Le garbage collector Shenandoah passe en mode générationnel pour de meilleures performances JFR Method Timing & Tracing (JEP 520) - Nouvel outillage de profilage pour mesurer le temps d'exécution et tracer les appels de méthodes Key Derivation API (JEP 510) - API finale pour les fonctions de dérivation de clés cryptographiques, remplaçant les implémentations tierces Améliorations du traitement des annotations dans Kotlin 2.2 https://blog.jetbrains.com/idea/2025/09/improved-annotation-handling-in-kotlin-2-2-less-boilerplate-fewer-surprises/ Avant Kotlin 2.2, les annotations sur les paramètres de constructeur n'étaient appliquées qu'au paramètre, pas à la propriété ou au champ Cela causait des bugs subtils avec Spring et JPA où la validation ne fonctionnait qu'à la création d'objet, pas lors des mises à jour La solution précédente nécessitait d'utiliser explicitement @field: pour chaque annotation, créant du code verbeux Kotlin 2.2 introduit un nouveau comportement par défaut qui applique les annotations aux paramètres ET aux propriétés/champs automatiquement Le code devient plus propre sans avoir besoin de syntaxe @field: répétitive Pour l'activer, ajouter -Xannotation-default-target=param-property dans les options du compilateur Gradle IntelliJ IDEA propose un quick-fix pour activer ce comportement à l'échelle du projet Cette amélioration rend l'intégration Kotlin plus fluide avec les frameworks majeurs comme Spring et JPA Le comportement peut être configuré pour garder l'ancien mode ou activer un mode transitoire avec avertissements Cette mise à jour fait partie d'une initiative plus large pour améliorer l'expérience Kotlin + Spring Librairies Sortie de Quarkus 3.26 avec mises à jour d'Hibernate et autres fonctionnalités - https://quarkus.io/blog/quarkus-3-26-released/ mettez à jour vers la 3.26.x car il y a eu une regression vert.x Jalon important vers la version LTS 3.27 prévue fin septembre, basée sur cette version Mise à jour vers Hibernate ORM 7.1, Hibernate Search 8.1 et Hibernate Reactive 3.1 Support des unités de persistance nommées et sources de données dans Hibernate Reactive Démarrage hors ligne et configuration de dialecte pour Hibernate ORM même si la base n'est pas accessible Refonte de la console HQL dans Dev UI avec fonctionnalité Hibernate Assistant intégrée Exposition des capacités Dev UI comme fonctions MCP pour pilotage via outils IA Rafraîchissement automatique des tokens OIDC en cas de réponse 401 des clients REST Extension JFR pour capturer les données runtime (nom app, version, extensions actives) Bump de Gradle vers la version 9.0 par défaut, suppression du support des classes config legacy Guide de démarrage avec Quarkus et A2A Java SDK 0.3.0 (pour faire discuter des agents IA avec la dernière version du protocole A2A) https://quarkus.io/blog/quarkus-a2a-java-0-3-0-alpha-release/ Sortie de l'A2A Java SDK 0.3.0.Alpha1, aligné avec la spécification A2A v0.3.0. Protocole A2A : standard ouvert (Linux Foundation), permet la communication inter-agents IA polyglottes. Version 0.3.0 plus stable, introduit le support gRPC. Mises à jour générales : changements significatifs, expérience utilisateur améliorée (côté client et serveur). Agents serveur A2A : Support gRPC ajouté (en plus de JSON-RPC). HTTP+JSON/REST à venir. Implémentations basées sur Quarkus (alternatives Jakarta existent). Dépendances spécifiques pour chaque transport (ex: a2a-java-sdk-reference-jsonrpc, a2a-java-sdk-reference-grpc). AgentCard : décrit les capacités de l'agent. Doit spécifier le point d'accès primaire et tous les transports supportés (additionalInterfaces). Clients A2A : Dépendance principale : a2a-java-sdk-client. Support gRPC ajouté (en plus de JSON-RPC). HTTP+JSON/REST à venir. Dépendance spécifique pour gRPC : a2a-java-sdk-client-transport-grpc. Création de client : via ClientBuilder. Sélectionne automatiquement le transport selon l'AgentCard et la configuration client. Permet de spécifier les transports supportés par le client (withTransport). Comment générer et éditer des images en Java avec Nano Banana, le “photoshop killer” de Google https://glaforge.dev/posts/2025/09/09/calling-nano-banana-from-java/ Objectif : Intégrer le modèle Nano Banana (Gemini 2.5 Flash Image preview) dans des applications Java. SDK utilisé : GenAI Java SDK de Google. Compatibilité : Supporté par ADK for Java ; pas encore par LangChain4j (limitation de multimodalité de sortie). Capacités de Nano Banana : Créer de nouvelles images. Modifier des images existantes. Assembler plusieurs images. Mise en œuvre Java : Quelle dépendance utiliser Comment s'authentifier Comment configurer le modèle Nature du modèle : Nano Banana est un modèle de chat qui peut retourner du texte et une image (pas simplement juste un modèle générateur d'image) Exemples d'utilisation : Création : Via un simple prompt textuel. Modification : En passant l'image existante (tableau de bytes) et les instructions de modification (prompt). Assemblage : En passant plusieurs images (en bytes) et les instructions d'intégration (prompt). Message clé : Toutes ces fonctionnalités sont accessibles en Java, sans nécessiter Python. Générer des vidéos IA avec le modèle Veo 3, mais en Java ! https://glaforge.dev/posts/2025/09/10/generating-videos-in-java-with-veo3/ Génération de vidéos en Java avec Veo 3 (via le GenAI Java SDK de Google). Veo 3: Annoncé comme GA, prix réduits, support du format 9:16, résolution jusqu'à 1080p. Création de vidéos : À partir d'une invite textuelle (prompt). À partir d'une image existante. Deux versions différentes du modèle : veo-3.0-generate-001 (qualité supérieure, plus coûteux, plus lent). veo-3.0-fast-generate-001 (qualité inférieure, moins coûteux, mais plus rapide). Rod Johnson sur ecrire des aplication agentic en Java plus facilement qu'en python avec Embabel https://medium.com/@springrod/you-can-build-better-ai-agents-in-java-than-python-868eaf008493 Rod the papa de Spring réécrit un exemple CrewAI (Python) qui génère un livre en utilisant Embabel (Java) pour démontrer la supériorité de Java L'application utilise plusieurs agents AI spécialisés : un chercheur, un planificateur de livre et des rédacteurs de chapitres Le processus suit trois étapes : recherche du sujet, création du plan, rédaction parallèle des chapitres puis assemblage CrewAI souffre de plusieurs problèmes : configuration lourde, manque de type safety, utilisation de clés magiques dans les prompts La version Embabel nécessite moins de code Java que l'original Python et moins de fichiers de configuration YAML Embabel apporte la type safety complète, éliminant les erreurs de frappe dans les prompts et améliorant l'outillage IDE La gestion de la concurrence est mieux contrôlée en Java pour éviter les limites de débit des APIs LLM L'intégration avec Spring permet une configuration externe simple des modèles LLM et hyperparamètres Le planificateur Embabel détermine automatiquement l'ordre d'exécution des actions basé sur leurs types requis L'argument principal : l'écosystème JVM offre un meilleur modèle de programmation et accès à la logique métier existante que Python Il y a pas mal de nouveaux framework agentic en Java, notamment le dernier LAngchain4j Agentic Spring lance un serie de blog posts sur les nouveautés de Spring Boot 4 https://spring.io/blog/2025/09/02/road_to_ga_introduction baseline JDK 17 mais rebase sur Jakarta 11 Kotlin 2, Jackson 3 et JUnit 6 Fonctionnalités de résilience principales de Spring : @ConcurrencyLimit, @Retryable, RetryTemplate Versioning d'API dans Spring Améliorations du client de service HTTP L'état des clients HTTP dans Spring Introduction du support Jackson 3 dans Spring Consommateur partagé - les queues Kafka dans Spring Kafka Modularisation de Spring Boot Autorisation progressive dans Spring Security Spring gRPC - un nouveau module Spring Boot Applications null-safe avec Spring Boot 4 OpenTelemetry avec Spring Boot Repos Ahead of Time (Partie 2) Web Faire de la recherche sémantique directement dans le navigateur en local, avec EmbeddingGemma et Transformers.js https://glaforge.dev/posts/2025/09/08/in-browser-semantic-search-with-embeddinggemma/ EmbeddingGemma: Nouveau modèle d'embedding (308M paramètres) de Google DeepMind. Objectif: Permettre la recherche sémantique directement dans le navigateur. Avantages clés de l'IA côté client: Confidentialité: Aucune donnée envoyée à un serveur. Coûts réduits: Pas besoin de serveurs coûteux (GPU), hébergement statique. Faible latence: Traitement instantané sans allers-retours réseau. Fonctionnement hors ligne: Possible après le chargement initial du modèle. Technologie principale: Modèle: EmbeddingGemma (petit, performant, multilingue, support MRL pour réduire la taille des vecteurs). Moteur d'inférence: Transformers.js de HuggingFace (exécute les modèles AI en JavaScript dans le navigateur). Déploiement: Site statique avec Vite/React/Tailwind CSS, déployé sur Firebase Hosting via GitHub Actions. Gestion du modèle: Fichiers du modèle trop lourds pour Git; téléchargés depuis HuggingFace Hub pendant le CI/CD. Fonctionnement de l'app: Charge le modèle, génère des embeddings pour requêtes/documents, calcule la similarité sémantique. Conclusion: Démonstration d'une recherche sémantique privée, économique et sans serveur, soulignant le potentiel de l'IA embarquée dans le navigateur. Data et Intelligence Artificielle Docker lance Cagent, une sorte de framework multi-agent IA utilisant des LLMs externes, des modèles de Docker Model Runner, avec le Docker MCP Tookit. Il propose un format YAML pour décrire les agents d'un système multi-agents. https://github.com/docker/cagent des agents “prompt driven” (pas de code) et une structure pour decrire comment ils sont deployés pas clair comment ils sont appelés a part dans la ligne de commande de cagent fait par david gageot L'owasp décrit l'independance excessive des LLM comme une vulnerabilité https://genai.owasp.org/llmrisk2023-24/llm08-excessive-agency/ L'agence excessive désigne la vulnérabilité qui permet aux systèmes LLM d'effectuer des actions dommageables via des sorties inattendues ou ambiguës. Elle résulte de trois causes principales : fonctionnalités excessives, permissions excessives ou autonomie excessive des agents LLM. Les fonctionnalités excessives incluent l'accès à des plugins qui offrent plus de capacités que nécessaire, comme un plugin de lecture qui peut aussi modifier ou supprimer. Les permissions excessives se manifestent quand un plugin accède aux systèmes avec des droits trop élevés, par exemple un accès en lecture qui inclut aussi l'écriture. L'autonomie excessive survient quand le système effectue des actions critiques sans validation humaine préalable. Un scénario d'attaque typique : un assistant personnel avec accès email peut être manipulé par injection de prompt pour envoyer du spam via la boîte de l'utilisateur. La prévention implique de limiter strictement les plugins aux fonctions minimales nécessaires pour l'opération prévue. Il faut éviter les fonctions ouvertes comme “exécuter une commande shell” au profit d'outils plus granulaires et spécifiques. L'application du principe de moindre privilège est cruciale : chaque plugin doit avoir uniquement les permissions minimales requises. Le contrôle humain dans la boucle reste essentiel pour valider les actions à fort impact avant leur exécution. Lancement du MCP registry, une sorte de méta-annuaire officiel pour référencer les serveurs MCP https://www.marktechpost.com/2025/09/09/mcp-team-launches-the-preview-version-of-the-mcp-registry-a-federated-discovery-layer-for-enterprise-ai/ MCP Registry : Couche de découverte fédérée pour l'IA d'entreprise. Fonctionne comme le DNS pour le contexte de l'IA, permettant la découverte de serveurs MCP publics ou privés. Modèle fédéré : Évite les risques de sécurité et de conformité d'un registre monolithique. Permet des sous-registres privés tout en conservant une source de vérité “upstream”. Avantages entreprises : Découverte interne sécurisée. Gouvernance centralisée des serveurs externes. Réduction de la prolifération des contextes. Support pour les agents IA hybrides (données privées/publiques). Projet open source, actuellement en version preview. Blog post officiel : https://blog.modelcontextprotocol.io/posts/2025-09-08-mcp-registry-preview/ Exploration des internals du transaction log SQL Server https://debezium.io/blog/2025/09/08/sqlserver-tx-log/ C'est un article pour les rugeux qui veulent savoir comment SQLServer marche à l'interieur Debezium utilise actuellement les change tables de SQL Server CDC en polling périodique L'article explore la possibilité de parser directement le transaction log pour améliorer les performances Le transaction log est divisé en Virtual Log Files (VLFs) utilisés de manière circulaire Chaque VLF contient des blocs (512B à 60KB) qui contiennent les records de transactions Chaque record a un Log Sequence Number (LSN) unique pour l'identifier précisément Les données sont stockées dans des pages de 8KB avec header de 96 bytes et offset array Les tables sont organisées en partitions et allocation units pour gérer l'espace disque L'utilitaire DBCC permet d'explorer la structure interne des pages et leur contenu Cette compréhension pose les bases pour parser programmatiquement le transaction log dans un prochain article Outillage Les personalités des codeurs des différents LLMs https://www.sonarsource.com/blog/the-coding-personalities-of-leading-llms-gpt-5-update/ GPT-5 minimal ne détrône pas Claude Sonnet 4 comme leader en performance fonctionnelle malgré ses 75% de réussite GPT-5 génère un code extrêmement verbeux avec 490 000 lignes contre 370 000 pour Claude Sonnet 4 sur les mêmes tâches La complexité cyclomatique et cognitive du code GPT-5 est dramatiquement plus élevée que tous les autres modèles GPT-5 introduit 3,90 problèmes par tâche réussie contre seulement 2,11 pour Claude Sonnet 4 Point fort de GPT-5 : sécurité exceptionnelle avec seulement 0,12 vulnérabilité par 1000 lignes de code Faiblesse majeure : densité très élevée de “code smells” (25,28 par 1000 lignes) nuisant à la maintenabilité GPT-5 produit 12% de problèmes liés à la complexité cognitive, le taux le plus élevé de tous les modèles Tendance aux erreurs logiques fondamentales avec 24% de bugs de type “Control-flow mistake” Réapparition de vulnérabilités classiques comme les failles d'injection et de traversée de chemin Nécessité d'une gouvernance renforcée avec analyse statique obligatoire pour gérer la complexité du code généré Pourquoi j'ai abandonné Docker pour Podman https://codesmash.dev/why-i-ditched-docker-for-podman-and-you-should-too Problème Docker : Le daemon dockerd persistant s'exécute avec des privilèges root, posant des risques de sécurité (nombreuses CVEs citées) et consommant des ressources inutilement. Solution Podman : Sans Daemon : Pas de processus d'arrière-plan persistant. Les conteneurs s'exécutent comme des processus enfants de la commande Podman, sous les privilèges de l'utilisateur. Sécurité Renforcée : Réduction de la surface d'attaque. Une évasion de conteneur compromet un utilisateur non privilégié sur l'hôte, pas le système entier. Mode rootless. Fiabilité Accrue : Pas de point de défaillance unique ; le crash d'un conteneur n'affecte pas les autres. Moins de Ressources : Pas de daemon constamment actif, donc moins de mémoire et de CPU. Fonctionnalités Clés de Podman : Intégration Systemd : Génération automatique de fichiers d'unité systemd pour gérer les conteneurs comme des services Linux standards. Alignement Kubernetes : Support natif des pods et capacité à générer des fichiers Kubernetes YAML directement (podman generate kube), facilitant le développement local pour K8s. Philosophie Unix : Se concentre sur l'exécution des conteneurs, délègue les tâches spécialisées à des outils dédiés (ex: Buildah pour la construction d'images, Skopeo pour leur gestion). Migration Facile : CLI compatible Docker : podman utilise les mêmes commandes que docker (alias docker=podman fonctionne). Les Dockerfiles existants sont directement utilisables. Améliorations incluses : Sécurité par défaut (ports privilégiés en mode rootless), meilleure gestion des permissions de volume, API Docker compatible optionnelle. Option de convertir Docker Compose en Kubernetes YAML. Bénéfices en Production : Sécurité améliorée, utilisation plus propre des ressources. Podman représente une évolution plus sécurisée et mieux alignée avec les pratiques modernes de gestion Linux et de déploiement de conteneurs. Guide Pratique (Exemple FastAPI) : Le Dockerfile ne change pas. podman build et podman run remplacent directement les commandes Docker. Déploiement en production via Systemd. Gestion d'applications multi-services avec les “pods” Podman. Compatibilité Docker Compose via podman-compose ou kompose. Détection améliorée des APIs vulnérables dans les IDEs JetBrains et Qodana - https://blog.jetbrains.com/idea/2025/09/enhanced-vulnerable-api-detection-in-jetbrains-ides-and-qodana/ JetBrains s'associe avec Mend.io pour renforcer la sécurité du code dans leurs outils Le plugin Package Checker bénéficie de nouvelles données enrichies sur les APIs vulnérables Analyse des graphes d'appels pour couvrir plus de méthodes publiques des bibliothèques open-source Support de Java, Kotlin, C#, JavaScript, TypeScript et Python pour la détection de vulnérabilités Activation des inspections via Paramètres > Editor > Inspections en recherchant “Vulnerable API” Surlignage automatique des méthodes vulnérables avec détails des failles au survol Action contextuelle pour naviguer directement vers la déclaration de dépendance problématique Mise à jour automatique vers une version non affectée via Alt+Enter sur la dépendance Fenêtre dédiée “Vulnerable Dependencies” pour voir l'état global des vulnérabilités du projet Méthodologies Le retour de du sondage de Stack Overflow sur l'usage de l'IA dans le code https://medium.com/@amareshadak/stack-overflow-just-exposed-the-ugly-truth-about-ai-coding-tools-b4f7b5992191 84% des développeurs utilisent l'IA quotidiennement, mais 46% ne font pas confiance aux résultats. Seulement 3,1% font “hautement confiance” au code généré. 66% sont frustrés par les solutions IA “presque correctes”. 45% disent que déboguer le code IA prend plus de temps que l'écrire soi-même. Les développeurs seniors (10+ ans) font moins confiance à l'IA (2,6%) que les débutants (6,1%), créant un écart de connaissances dangereux. Les pays occidentaux montrent moins de confiance - Allemagne (22%), UK (23%), USA (28%) - que l'Inde (56%). Les créateurs d'outils IA leur font moins confiance. 77% des développeurs professionnels rejettent la programmation en langage naturel, seuls 12% l'utilisent réellement. Quand l'IA échoue, 75% se tournent vers les humains. 35% des visites Stack Overflow concernent maintenant des problèmes liés à l'IA. 69% rapportent des gains de productivité personnels, mais seulement 17% voient une amélioration de la collaboration d'équipe. Coûts cachés : temps de vérification, explication du code IA aux équipes, refactorisation et charge cognitive constante. Les plateformes humaines dominent encore : Stack Overflow (84%), GitHub (67%), YouTube (61%) pour résoudre les problèmes IA. L'avenir suggère un “développement augmenté” où l'IA devient un outil parmi d'autres, nécessitant transparence et gestion de l'incertitude. Mentorat open source et défis communautaires par les gens de Microcks https://microcks.io/blog/beyond-code-open-source-mentorship/ Microcks souffre du syndrome des “utilisateurs silencieux” qui bénéficient du projet sans contribuer Malgré des milliers de téléchargements et une adoption croissante, l'engagement communautaire reste faible Ce manque d'interaction crée des défis de durabilité et limite l'innovation du projet Les mainteneurs développent dans le vide sans feedback des vrais utilisateurs Contribuer ne nécessite pas de coder : documentation, partage d'expérience, signalement de bugs suffisent Parler du project qu'on aime autour de soi est aussi super utile Microcks a aussi des questions specifiques qu'ils ont posé dans le blog, donc si vous l'utilisez, aller voir Le succès de l'open source dépend de la transformation des utilisateurs en véritables partenaires communautaires c'est un point assez commun je trouve, le ratio parlant / silencieux est tres petit et cela encourage les quelques grandes gueules La modernisation du systemes legacy, c'est pas que de la tech https://blog.scottlogic.com/2025/08/27/holistic-approach-successful-legacy-modernisation.html Un artcile qui prend du recul sur la modernisation de systemes legacy Les projets de modernisation legacy nécessitent une vision holistique au-delà du simple focus technologique Les drivers business diffèrent des projets greenfield : réduction des coûts et mitigation des risques plutôt que génération de revenus L'état actuel est plus complexe à cartographier avec de nombreuses dépendances et risques de rupture Collaboration essentielle entre Architectes, Analystes Business et Designers UX dès la phase de découverte Approche tridimensionnelle obligatoire : Personnes, Processus et Technologie (comme un jeu d'échecs 3D) Le leadership doit créer l'espace nécessaire pour la découverte et la planification plutôt que presser l'équipe Communication en termes business plutôt que techniques vers tous les niveaux de l'organisation Planification préalable essentielle contrairement aux idées reçues sur l'agilité Séquencement optimal souvent non-évident et nécessitant une analyse approfondie des interdépendances Phases projet alignées sur les résultats business permettent l'agilité au sein de chaque phase Sécurité Cyber Attaque su Musée Histoire Naturelle https://www.franceinfo.fr/internet/securite-sur-internet/cyberattaques/le-museum-nati[…]e-d-une-cyberattaque-severe-une-plainte-deposee_7430356.html Compromission massive de packages npm populaires par un malware crypto https://www.aikido.dev/blog/npm-debug-and-chalk-packages-compromised 18 packages npm très populaires compromis le 8 septembre 2025, incluant chalk, debug, ansi-styles avec plus de 2 milliards de téléchargements hebdomadaires combinés duckdb s'est rajouté à la liste Code malveillant injecté qui intercepte silencieusement l'activité crypto et web3 dans les navigateurs des utilisateurs Le malware manipule les interactions de wallet et redirige les paiements vers des comptes contrôlés par l'attaquant sans signes évidents Injection dans les fonctions critiques comme fetch, XMLHttpRequest et APIs de wallets (window.ethereum, Solana) pour intercepter le trafic Détection et remplacement automatique des adresses crypto sur multiple blockchains (Ethereum, Bitcoin, Solana, Tron, Litecoin, Bitcoin Cash) Les transactions sont modifiées en arrière-plan même si l'interface utilisateur semble correcte et légitime Utilise des adresses “sosies” via correspondance de chaînes pour rendre les échanges moins évidents à détecter Le mainteneur compromis par email de phishing provenant du faux domaine “mailto:support@npmjs.help|support@npmjs.help” enregistré 3 jours avant l'attaque sur une demande de mise a jour de son autheotnfication a deux facteurs après un an Aikido a alerté le mainteneur via Bluesky qui a confirmé la compromission et commencé le nettoyage des packages Attaque sophistiquée opérant à plusieurs niveaux: contenu web, appels API et manipulation des signatures de transactions Les anti-cheats de jeux vidéo : une faille de sécurité majeure ? - https://tferdinand.net/jeux-video-et-si-votre-anti-cheat-etait-la-plus-grosse-faille/ Les anti-cheats modernes s'installent au Ring 0 (noyau système) avec privilèges maximaux Ils obtiennent le même niveau d'accès que les antivirus professionnels mais sans audit ni certification Certains exploitent Secure Boot pour se charger avant le système d'exploitation Risque de supply chain : le groupe APT41 a déjà compromis des jeux comme League of Legends Un attaquant infiltré pourrait désactiver les solutions de sécurité et rester invisible Menace de stabilité : une erreur peut empêcher le démarrage du système (référence CrowdStrike) Conflits possibles entre différents anti-cheats qui se bloquent mutuellement Surveillance en temps réel des données d'utilisation sous prétexte anti-triche Dérive dangereuse selon l'auteur : des entreprises de jeux accèdent au niveau EDR Alternatives limitées : cloud gaming ou sandboxing avec impact sur performances donc faites gaffe aux jeux que vos gamins installent ! Loi, société et organisation Luc Julia au Sénat - Monsieur Phi réagi et publie la vidéo Luc Julia au Sénat : autopsie d'un grand N'IMPORTE QUOI https://www.youtube.com/watch?v=e5kDHL-nnh4 En format podcast de 20 minutes, sorti au même moment et à propos de sa conf à Devoxx https://www.youtube.com/watch?v=Q0gvaIZz1dM Le lab IA - Jérôme Fortias - Et si Luc Julia avait raison https://www.youtube.com/watch?v=KScI5PkCIaE Luc Julia au Senat https://www.youtube.com/watch?v=UjBZaKcTeIY Luc Julia se défend https://www.youtube.com/watch?v=DZmxa7jJ8sI Intelligence artificielle : catastrophe imminente ? - Luc Julia vs Maxime Fournes https://www.youtube.com/watch?v=sCNqGt7yIjo Tech and Co Monsieur Phi vs Luc Julia (put a click) https://www.youtube.com/watch?v=xKeFsOceT44 La tronche en biais https://www.youtube.com/live/zFwLAOgY0Wc Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12 septembre 2025 : Agile Pays Basque 2025 - Bidart (France) 15 septembre 2025 : Agile Tour Montpellier - Montpellier (France) 18-19 septembre 2025 : API Platform Conference - Lille (France) & Online 22-24 septembre 2025 : Kernel Recipes - Paris (France) 22-27 septembre 2025 : La Mélée Numérique - Toulouse (France) 23 septembre 2025 : OWASP AppSec France 2025 - Paris (France) 23-24 septembre 2025 : AI Engineer Paris - Paris (France) 25 septembre 2025 : Agile Game Toulouse - Toulouse (France) 25-26 septembre 2025 : Paris Web 2025 - Paris (France) 30 septembre 2025-1 octobre 2025 : PyData Paris 2025 - Paris (France) 2 octobre 2025 : Nantes Craft - Nantes (France) 2-3 octobre 2025 : Volcamp - Clermont-Ferrand (France) 3 octobre 2025 : DevFest Perros-Guirec 2025 - Perros-Guirec (France) 6-7 octobre 2025 : Swift Connection 2025 - Paris (France) 6-10 octobre 2025 : Devoxx Belgium - Antwerp (Belgium) 7 octobre 2025 : BSides Mulhouse - Mulhouse (France) 7-8 octobre 2025 : Agile en Seine - Issy-les-Moulineaux (France) 8-10 octobre 2025 : SIG 2025 - Paris (France) & Online 9 octobre 2025 : DevCon #25 : informatique quantique - Paris (France) 9-10 octobre 2025 : Forum PHP 2025 - Marne-la-Vallée (France) 9-10 octobre 2025 : EuroRust 2025 - Paris (France) 16 octobre 2025 : PlatformCon25 Live Day Paris - Paris (France) 16 octobre 2025 : Power 365 - 2025 - Lille (France) 16-17 octobre 2025 : DevFest Nantes - Nantes (France) 17 octobre 2025 : Sylius Con 2025 - Lyon (France) 17 octobre 2025 : ScalaIO 2025 - Paris (France) 17-19 octobre 2025 : OpenInfra Summit Europe - Paris (France) 20 octobre 2025 : Codeurs en Seine - Rouen (France) 23 octobre 2025 : Cloud Nord - Lille (France) 30-31 octobre 2025 : Agile Tour Bordeaux 2025 - Bordeaux (France) 30-31 octobre 2025 : Agile Tour Nantais 2025 - Nantes (France) 30 octobre 2025-2 novembre 2025 : PyConFR 2025 - Lyon (France) 4-7 novembre 2025 : NewCrafts 2025 - Paris (France) 5-6 novembre 2025 : Tech Show Paris - Paris (France) 5-6 novembre 2025 : Red Hat Summit: Connect Paris 2025 - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 6 novembre 2025 : Agile Tour Aix-Marseille 2025 - Gardanne (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12-14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 13 novembre 2025 : DevFest Toulouse - Toulouse (France) 15-16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 19-21 novembre 2025 : Agile Grenoble - Grenoble (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1-2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 4-5 décembre 2025 : Agile Tour Rennes - Rennes (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9-11 décembre 2025 : APIdays Paris - Paris (France) 9-11 décembre 2025 : Green IO Paris - Paris (France) 10-11 décembre 2025 : Devops REX - Paris (France) 10-11 décembre 2025 : Open Source Experience - Paris (France) 11 décembre 2025 : Normandie.ai 2025 - Rouen (France) 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 17 juin 2026 : Devoxx Poland - Krakow (Poland) 4 septembre 2026 : JUG SUmmer Camp 2026 - La Rochelle (France) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Vikrant Sharma, better known as Vik, is the CEO and founder of Cake Wallet: the first Bitcoin wallet to support both Silent Payments and PayJoins. In this episode, we talk about the wallet's Monero roots & what is next in terms of features. Time stamps: 00:01:05 - Introducing Vik 00:01:24 - Cake Wallet Features for Bitcoin and Monero 00:03:08 - Background Sync Improvements 00:03:49 - Monero.com Wallet Discussion 00:04:41 - Monero Community Insights 00:05:01 - Privacy in Monero Transactions 00:06:33 - Funding and Revenue Model 00:08:29 - Vik's Background in Steel and Tech 00:10:34 - Discovering Bitcoin and Privacy Apps 00:13:22 - Launching Cakewallet for Monero 00:14:23 - Why Start with Monero Over Bitcoin 00:15:35 - Origin of the Name "Cake Wallet" 00:17:36 - Order of Coins Added to Cake Wallet 00:19:09 - PayJoins and Silent Payments 00:21:11 - Citrea 00:22:34 - Layer 2 Labs and Drivechains 00:24:32 - Silent Payments Address Drama 00:25:35 - Qubic Mining Drama in Monero 00:30:42 - Monero's Resilience to Attacks 00:32:53 - Monero as a Stablecoin 00:33:41 - Use It to Win: Spending vs Hodling 00:36:38 - Treasury Company Plans 00:39:28 - Future of Privacy Coins 00:42:58 - SideShift.ai 00:44:20 - NoOnes.com 00:45:29 - Bitcoin.com News 00:46:37 - Taxes and Privacy Coins 00:48:42 - Layers of Privacy 00:59:00 - Zcash and Privacy Experiments 01:00:36 - Growing the Crypto Space 01:02:44 - Supported Coins: Ethereum 01:06:17 - Litecoin and MWEB Integration 01:08:43 - Dogecoin Addition 01:10:37 - Wownero for Monero Community 01:11:17 - Bitcoin Cash Support in Cake Wallet 01:13:30 - Polygon and Tron for Low Fees 01:15:44 - Nano for Feeless Payments 01:17:00 - Decred and Community Overlap 01:18:14 - Zano and Confidential Assets 01:20:06 - Lightning Network Plans 01:21:46 - Zcash Future Integration 01:23:02 - Cupcake Airgapped Wallet 01:26:00 - Considering Kaspa 01:29:56 - Dash Privacy Debate 01:32:20 - Network Effects and Wallet Choices 01:34:57 - Raven Coin Experiment 01:35:43 - Hiring Developers 01:36:18 - Custom Wallpapers and UI Overhaul 01:37:12 - One Seed for All Wallets 01:38:31 - How Many of the Supported Coins Will Survive? 01:39:46 - Multi-Coin Payment Services 01:40:32 - Pay Invoice Feature 01:42:03 - User Data and Privacy Policy 01:45:49 - Node Data Handling 01:47:04 - Advice on Self-Custody 01:48:17 - Where to Follow Vik and Cake Wallet 01:48:51 - Closing Remarks

Un “código fantasma” descubierto por la NASA. La gira de Oasis genera records en turismo. Lo nuevo de Apple: iPhone 17, sus nuevos AirPods y Apple Watch. Nanobana, la nueva herramienta de edición con IA integrada en Gemini. Ucademy, la edutech que ayudan a los jóvenes a estudiar en el exterior.

Co-hosts Mark Thompson and Steve Little return from summer break to discuss the mixed reception of ChatGPT 5 and how OpenAI responded to user feedback.They explore Google's game-changing Nano Banana (Gemini Flash Image) model that revolutionizes selective image editing, reigniting debates about AI photo restoration in genealogy.This week's Tip of the Week emphasizes not letting perfect be the enemy of the good, especially when it comes to AI-powered citation. Mark shares his experience with 100 citations as part of the WikiTree Challenge.In RapidFire, they cover Apple's possible Gemini partnership, new AI study modes for back-to-school season, Anthropic's copyright settlement, and controversial changes to its privacy policy. They close with escalating skirmishes in the escalating AI browser wars.Timestamps:In the News:05:14 ChatGPT 5 Launch Aftermath: Mixed Reception and Quick Fixes 17:15 Nano Banana: Google's Game-Changing Image Editing ModelTip of the Week:32:38 Don't Let Perfect Be the Enemy of Good: Building Citation PromptsRapidFire:43:27 Apple Explores Google Gemini Partnership for Siri 47:16 Back to School: AI Study Modes from ChatGPT and Gemini 53:00 Anthropic Settles Copyright Lawsuit with Authors 56:29 Anthropic Reverses Privacy Stance on Training Data 60:55 AI Browser Wars: Anthropic and Google Enter the FrayResource LinksIntro to Family History AI by the Family History AI Show Academyhttps://tixoom.app/fhaishowMass Intelligence by Ethan Mollickhttps://www.oneusefulthing.org/p/mass-intelligenceCreate and edit images with Geminihttps://deepmind.google/models/gemini/image/Google take 'giant leap' with launch of 'Nano Banana'https://www.uniladtech.com/news/ai/google-giant-leap-nano-banana-launch-image-editing-305898-20250828Apple Explores Using Google Gemini AI to Power Revamped Sirihttps://www.bloomberg.com/news/articles/2025-08-22/apple-explores-using-google-gemini-ai-to-power-revamped-siriGuided Learning in Gemini: From answers to understandinghttps://blog.google/outreach-initiatives/education/guided-learning/Introducing study modehttps://openai.com/index/chatgpt-study-mode/Anthropic Settles Copyright Lawsuithttps://www.reuters.com/legal/government/anthropics-surprise-settlement-adds-new-wrinkle-ai-copyright-war-2025-08-27/Anthropic Updates Data Policyhttps://www.anthropic.com/news/updates-to-our-consumer-termsNew Opt-Out Policy Reverses Stance on Using Consumer Data for AI Traininghttps://techcrunch.com/2025/08/28/anthropic-users-face-a-new-choice-opt-out-or-share-your-data-for-ai-training/Anthropic launches a Claude AI agent that lives in Chromehttps://techcrunch.com/2025/08/26/anthropic-launches-a-claude-ai-agent-that-lives-in-chrome/Google is launching a Gemini integration in Chromehttps://techcrunch.com/2025/05/20/google-is-launching-a-gemini-integration-in-chrome/TagsArtificial Intelligence, Genealogy, Family History, Technology, ChatGPT, OpenAI, Google Gemini, Anthropic Claude, Image Editing, Nano Banana, AI Photography, Citation Management, WikiTree, AI Study Modes, Copyright Law, Privacy Policy, Browser Extensions, AI Training Data, Photo Restoration, Apple Siri, Educational AI, Model Selection, AI Ethics, Chrome Integration

Keep having your crotch fruit, Florida just doesn't care if they live... Epidurals for tattooing??? Butt implants are just weird... The two headed conjoined twin women are now pregnant... Would you recognize your own newborn baby... Two worms from one worm... Surgeon that was jailed for removing his own legs for a fetish... One shot fetish... Katie Perry's backup singer turned to gay sex because of the tour... The male birth control shot only being tested on Australians... The Koala and the Sloth... Charlie Sheen confesses to having gay sex as if we didn't know... The swingers club that doesn't allow ugly people... It's all your fault your partner cheated on you, so said one therapist... Fucking AI murder bunnies released in the Florida Everglades... The guy that beat his girlfriend during sex so he finished on her face... Katie doesn't dox someone for the first time... We don't really do dominate and submissive while having sex... The dirtiest club in South Florida... What is vanilla sex and do SC and Katie have it... It's not easy for Katie to cum... Sex with the lights off... Nano bot swarm wanted... What sex positions does SC and Katie enjoy... I hate rich cunts, tell them they can get fucked.

I'm comparing three popular generative AI tools and their ability to create unique designs based on best-selling Amazon print on demand products

e528 with Michael, Andy and Michael - stories and discussion on #AI #ImageEditing with #NanoBanana, #GAN enabled #LLM evolution with #R-Zero, #MentraOS #OpenSource #SmartGlasses, #AutomotiveSoftware, #MakingMonsters, #OfficeJob, #Kazeta and more!

The Midjourney Fast Hours crew hits episode 50…and immediately forgets to throw a party. Instead, Drew and Rory stumble into a killer trick inside the brand-new Style Explorer (yes, that hidden Smart Search → Styles move), while guest Allar Haltsonen cheerfully roasts their “we'll plan it later” energy and shows how RAW can completely flip a style's look. They blitz through v7.1 notes, v8 teasers, and real-world Midjourney Video settings (SD vs HD, Loop vs Motion) before going full Nano Banana: Freepik in-app inpainting, aspect-ratio hiccups, and a slick Photoshop plug-in workflow. If you care about consistent aesthetics, faster iteration, and finding SREF styles without burning credits, this one's pure potassium.Search hooks & keywords: Midjourney Style Explorer, SREF / SREF style codes, Smart Search trick, RAW parameter, v7.1, v8, Midjourney Video settings, Loop vs Motion, SD vs HD, OREF, Nano Banana, Freepik inpainting, Photoshop plug-in, fashion swaps, cinematic angles, moodboards, style weight, stylize.---⏱️ Midjourney Fast Hour00:00 — Episode 50?! housekeeping + cold open00:06 — The “like & subscribe” bit (tell your mom, dog, everyone)01:19 — What's new + Allar intro; Office Hours headlines01:49 — Style Explorer lands (why it matters for credits)02:30 — How it works: SRF codes, Explore tab, filters (Top/Hot/Day)05:07 — The pain of saving/organizing favorite SRFs06:07 — “Did they rotate styles?” + early content observations07:13 — Preview layout (character / environment / object)08:11 — Surprise: RAW massively changes some styles10:38 — The curly-brace RAW syntax gotcha during live tests14:36 — Smart Search → Styles hack (the hidden gem)18:34 — Image as SREF, weighting, and moodboard workflows23:40 — Office Hours: v7.1, OREF improvements, draft mode, v8 path25:48 — v8 is the big model rev; video waits until v8 ships26:49 — Midjourney Video: manual vs auto; motion vs loop30:23 — SD vs HD trade-offs (costs, quality)33:04 — When to upscale before animating (text handling quirks)35:29 — Profiles, friend rooms, global rooms, prompt battles37:26 — Discord nostalgia: forgetting “/imagine” (oops)38:22 — Nano Banana deep dive: why it's workflow-changing40:40 — Where to run it: Freepik, KREA, Google AI Studio, Higgsfield41:01 — Aspect-ratio hiccups & hacks in Freepik44:15 — In-app inpainting & reference characters in Freepik45:00 — Nano Banana Photoshop plug-in (enable & flow)48:25 — Pro tip: consistency over heavy retouching50:54 — World-building workflows: zooms, angles, new actions53:20 — Consistency challenges: missing doors, mismatched details56:00 — Adding characters & branded clothing to complex scenes58:20 — Character sheets + compositing tricks for consistency01:00:09 — Compositing disruption: Photoshop harmonize & Nano01:02:12 — Time-lapse edits (dust, rust, lighting changes)01:04:39 — True world-building: multiple lives & story arcs01:06:28 — Keep/change prompt trick for Nano Banana01:07:09 — Pushing realism: Nano Banana vs raw Midjourney01:08:42 — New media: character-as-influencer storytelling01:10:20 — Rosebud & branching narrative experiments01:11:46 — Simulation talk: where storytelling is heading01:12:45 — Wrap-up

Send us a textAI isn't just about writing better emails anymore—it's about creating visuals that sell. In this episode, Jeremy introduces Nano Banana, Google's new AI image-generation tool, and breaks down exactly how sports teams can use it to move more merchandise, sell more tickets, and close bigger sponsorships. If you've ever wished you could create pro-level visuals in minutes instead of weeks, this episode shows you how.See all of the mock-ups and designs Jeremy made here: Episode 130Key Topics CoveredWhat Nano Banana is and why it's like “Canva on steroids”How to use AI visuals to test merchandise concepts and launch pre-order campaigns risk-freeQuick-win strategies to boost ticket sales with AI-generated graphics and personalized fan contentBounce-back offers: using visuals to re-engage fans right after gamesSponsorship mock-ups that turn “maybe” into “heck yes” during pitchesTime-saving workflows for marketing teams without huge budgets or staffThe three-step approach to testing Nano Banana in your operation (pick one bucket, run a 30-day test, track results)Why early adopters of AI visuals will outpace their competitionTimestamps(00:00) Intro: The revenue power of AI visuals(01:06) What is Nano Banana?(03:26) Three big reasons it matters: time, money, and new possibilities(03:54) Revenue bucket #1: Merchandise mockups & pre-order testing(05:39) Revenue bucket #2: Ticket sales promotions, bounce-back offers, and personalization(10:15) Revenue bucket #3: Sponsorship mockups, player content, and mascot marketing(12:37) Why better visuals sell better(14:59) Where to start: a simple 4-step process(17:21) Main takeawaysMain TakeawaysNano Banana isn't a gimmick—it's a real revenue driver for sports teams.Start small with merchandise mockups for quick wins.Expand into ticket sales and sponsorships once you see results.Early adopters who build repeatable AI workflows will win big.Call to Action Share this episode with a colleague stuck in Photoshop or Canva who needs faster, smarter ways to create visuals. Want help mapping AI into your team's revenue strategy? DM Jeremy or schedule a call at SportsMarketingMachine.comLinks mentioned: Google GeminiEpisode: 122 - 9 ways to use ChatGPT to help you sell more ticketsEpisode 117 - Good Deal or Bad Strategy? The Right Way to Use Loss LeadersEpisode 115  - “We Miss You”: The Email That Brings Fans BackEpisode 103 - Personalize It - Why it Works (Part 1)Episode 101 - 6 Fan Experience Lessons Learned from Going to Disneyland.Sports Marketing Machine on LinkedInSports Marketing Machine on InstagramBook a call with Jeremy from Sports Marketing Machine

Google officially released Gemini 2.5 this week, with possibly the best AI name yet, Nano Banana. Many are saying this is now the top dog for image generation and spells the end for Photoshop. At the other end of the spectrum, Taco Bell is rethinking its AI ordering in the drive-thru. Plus, we get you caught up on the rest of the week's tech news. All so you can get out there and tech better. Watch on YouTube! - Notnerd.com and Notpicks.com INTRO (00:00) Mr. Beast Team Water (03:15) Apple Event - September 9th, 2025 (05:35) MAIN TOPIC: Nano Banana (06:30) Google improves Gemini AI image editing with “nano banana” model 10 crazy Nano Banana AI image use cases that will blow your mind Google's official Nano Banana prompt guide Image editing in Gemini just got a major upgrade DAVE'S PRO-TIP OF THE WEEK:  Use built-in translation app as a foreign dictionary (13:55) JUST THE HEADLINES: (18:00) Florida deploys robot rabbits to control invasive Burmese python population Scientists unlock secret to thick, stable beer foams Rare snail has a 1-in-40,000 chance of finding a mate. New Zealand begins the search Your Word documents will be saved to the cloud automatically on Windows going forward World's first 1-step method by US-China team turns plastic into fuel at 95% efficiency Humans inhale as much as 68,000 microplastic particles daily, study finds Taylor Swift & Travis Kelce's engagement announcement breaks Instagram record TAKES: Taco Bell rethinks future of voice AI at the drive-thru (22:10) Nothing busted using professional photos as Phone 3 samples (24:10) Denmark to tackle deepfakes by giving people copyright to their own features (27:55) TransUnion says hackers stole 4.4 million customers' personal information (31:10) BONUS ODD TAKE: Snapshots of Kids Bike Jumping in the 1970s (33:35) PICKS OF THE WEEK:  Dave:  DuoLingo - freemium (37:20) Nate: 2 Pack Anker USB C Charger with Foldable Plug, 20W USB C Charger Block for iPhone 16/15 and More Series, Galaxy, Pixel, iPad (Cable Not Included) (45:00) RAMAZON PURCHASE OF THE WEEK (49:40)

For the second time in just as many weeks, Google dropped impressive AI updates that their competitors will struggle to keep up with. Salesforce is cutting it support staff due to AI and OpenAI's backend tech could be one of its biggest updates yet. And that's just the start. Don't waste hours a day trying to keep up with AI developments. That's what we do.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:Meta Integrating Google Gemini & OpenAIMeta AI Losing Key Talent & ResearchersMeta Tightens AI Safeguards for TeensSalesforce Cuts 4,000 Jobs With AI AgentsOpenAI Launches GPT Real-Time APIMeta's $14.3B Scale AI Deal in TroublePerplexity AI Announces Comet Plus for PublishersGoogle Adds AI Avatars to Google VidsStanford Study: AI Hurting Entry-Level JobsGoogle Gemini 2.5 Flash Image (Nano Banana) Viral ReleaseTimestamps:00:00 Meta Leverages Competitors' AI Models06:30 Google Challenges Duolingo with AI Update08:02 Google's Language AI Potential Unveiled13:48 Salesforce CEO on AI-Driven Workforce Reduction17:23 OpenAI's New Real-Time Voice API20:32 AI Technology Disrupts Customer Service23:55 Meta's AI Acquisition Challenges28:52 Publishers Question AI Revenue Plans31:35 AI's Dependence on Human-Created Data36:31 AI's Impact on Jobs and Startups40:19 Gemini 2.5: Multimodal AI Update41:59 Google's New Image Model Unveiled44:33 Tech Update: Flashcards, Rumors, and AI47:36 AI News and Insights ScheduleKeywords:Meta AI, Meta Superintelligence Lab, Meta layoffs, Meta internal policy, Meta data labeling, Meta AI chatbot, Meta Scale AI investment, Meta AI partnerships, Meta generative AI, Meta AI safety, Meta AI user protections, Google AI, Google Gemini, Gemini 2.5, Gemini 2.5 Flash Image, Nano Banana, Google Translate, AI language learning, AI practice sessions, AI-powered translation, multimodal models, AI image editing, AI character consistency, Google Vids, AI video editing, AI avatars, AI workspace tools, Salesforce, Salesforce AI agents, AI customer service, job automation, AI workforce reduction, OpenAI, GPT real time, real time AI API, AI voice models, AI speech to speech, Anthropic, Claude AI, Claude for Chrome, Claude coding, Perplexity AI, Perplexity Comet Plus, AI publisher payments, AI licensing, publisher agent traffic, Stanford AI study, entry level jobs and AI, AI impact on employment, AI job market shiSend 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

Shoot us a Text.Episode #1135: Friendly Chevy's charging park is pulling in revenue and conquest sales, BYD takes a profit hit in China's price war, and Google's “Nano Banana” might just beat ChatGPT at the AI image game.Show Notes with links:Back in 2021, Friendly Chevrolet's Mark Eddins saw a gap in the EV experience—and filled it. With GM rolling out EV standards, he went all-in on a unique charging park open to all EV brands. Today, EVHQ is paying off in brand loyalty, new customers, and revenue.EVHQ opened March 2023 near downtown Dallas with eight 120-kW fast chargers under a canopy, staffed 24/7.It offers a lounge-style experience: movie room, Corvette Cafe, Wi-Fi, play area, dog park—even roadside charging.All EV brands are welcome; a free membership gets 20% off retail charging, and an app is launching soon.Revenue hit $300K in 2024 and is on pace for $400K this year, with over 10,000 users and 1,200 monthly sessions.EV sales at the store more than doubled in 2025 so far.“I wanted to be one of those guys that had something nobody else had,” Eddins said. “It is beyond my wildest dreams, quite frankly.”Even as BYD pushes aggressively into overseas markets, the Chinese EV giant is taking heat at home. A brutal domestic price war cut deep into profits last quarter, despite record sales and growing international presence.BYD's Q2 net profit dropped 30% year-over-year to $891M, even as revenue rose 14%.The company blames “excessive marketing” and fierce price-cutting across China's EV space.Retail prices in China have fallen 19% over two years, triggering concern from regulators.First-half revenue still jumped 23%, with record new energy vehicle sales.In Europe, BYD's July registrations hit 13,000+—up 225% year-over-year.A new challenger has entered the AI image arena. Google's “Nano Banana” image generator—recently added to Gemini—might just be the first serious rival to ChatGPT's viral image dominance. And it's got some surprising strengths.Nano Banana delivers sharper realism, faster generation, and better character consistency.It keeps visual details intact across prompts, and it's images often look more natural and less AI-generated.Gemini's model also handles real photo uploads better—especially when combining images or changing backgrounds."If you want something that's very quick and gets the job done in the most realistic way possible… Gemini's Nano Banana is the clear winner," wrote one reviewer.0:00 Intro with Kyle Mountsier and Ben Hadley1:03 Announcements1:46 Friendly Chevy's EVHQ Charging Station6:00 BYD Q2 Profit Drops 30%10:04 Google's Nano Banana OutperformsJoin Paul J Daly and Kyle Mountsier every morning for the Automotive State of the Union podcast as they connect the dots across car dealerships, retail trends, emerging tech like AI, and cultural shifts—bringing clarity, speed, and people-first insight to automotive leaders navigating a rapidly changing industry.Get the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/

Is this the beginning of the end for Photoshop, stock photography, and traditional ad shoots?In this episode of Leveraging AI,  Isar Meitis dives headfirst into the wildly capable new Gemini 2.5 Flash image generation tool, also called “Nano Banana.” Here's the twist: It's not just about creating images. It's about building scalable, repeatable, hyper-custom content pipelines that save weeks of work and thousands in budget with zero design skills required.In this session, you'll discover:What exactly is Gemini 2.5 Flash (Nano Banana) and how it differs from ChatGPT or MidjourneyHow to create realistic, brand-consistent images from nothing more than a sketch and a sentenceWhy image consistency, layering, and template reusability are a game-changer for marketing teamsHow to transform product shots, team headshots, and social ad campaigns in minutesThe “dangerously easy” way anyone can now create deepfakes and why that's a double-edged swordReal-world, business-relevant use cases: from eCommerce to real estate, design, ad testing, and product mockupsHow to scale image creation with workflows using tools like Weavy and upscaling solutionsWhy this is the beginning of a major disruption in content production and how you can stay aheadWhat's still missing: resolution limits, lack of layers, and where AI tooling must evolve nextAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Any donation is greatly appreciated! 47e6GvjL4in5Zy5vVHMb9PQtGXQAcFvWSCQn2fuwDYZoZRk3oFjefr51WBNDGG9EjF1YDavg7pwGDFSAVWC5K42CBcLLv5U OR DONATE HERE: https://www.monerotalk.live/donate TODAY'S SHOW: In this episode of Monero Talk Douglas Tuman has a discussion with Vinny Barbosa, a Brazilian crypto writer and privacy advocate, about the current challenges facing the Monero network, particularly the ongoing selfish mining attacks by the Qubic pool. The conversation explores both short-term and long-term solutions, including the proposed "Publish or Perish" soft fork to disincentivize selfish mining, defensive mining strategies, and the controversial idea of incorporating proof-of-stake elements or a finality layer to enhance network security. Vinny argues that while Monero's proof-of-work and ASIC resistance are valuable for decentralization and permissionless mining, all proof-of-work systems are inherently vulnerable to such attacks, and the community should remain open to researching hybrid or alternative consensus models without ideological dogma. The dialogue emphasizes the importance of open debate, technical innovation, and community resilience in navigating Monero's current crisis, while also touching on broader themes of digital cash, sovereignty, and interoperability with other privacy and scalable cryptocurrencies like Zcash and Nano. TIMESTAMPS: 00:06:56 Vinny's Crypto Journey and Current Work 00:12:17 Discussion of Qubic Pool Attack 00:17:25 Debate on Proof-of-Work vs. Proof-of-Stake 00:24:21 The "Publish or Perish" Proposal 00:54:54 Challenging Common Arguements Against Proof of Stake 01:04:48 Broader Discussion on Privacy Coins GUEST LINKS: https://x.com/vinibarbosabr Purchase Cafe & tip the farmers w/ XMR! https://gratuitas.org/ SPONSORS: Cakewallet.com, the first open-source Monero wallet for iOS. You can even exchange between XMR, BTC, LTC & more in the app! Monero.com by Cake Wallet - ONLY Monero wallet (https://monero.com/) StealthEX, an instant exchange. Go to (https://stealthex.io) to instantly exchange between Monero and 450 plus assets, w/o having to create an account or register & with no limits. WEBSITE: https://www.monerotopia.com CONTACT: monerotalk@protonmail.com ODYSEE: https://odysee.com/@MoneroTalk:8 TWITTER: https://twitter.com/monerotalk FACEBOOK: https://www.facebook.com/MoneroTalk HOST: https://twitter.com/douglastuman INSTAGRAM: https://www.instagram.com/monerotalk TELEGRAM: https://t.me/monerotopia MATRIX: https://matrix.to/#/%23monerotopia%3Amonero.social MASTODON: @Monerotalk@mastodon.social MONERO.TOWN: https://monero.town/u/monerotalkAny donation is greatly appreciated!Any donation is greatly appreciated!

Check the self-paced AI Business Transformation course > https://multiplai.ai/self-paced-online-course/ Is AI about to replace your design team, your video team… and maybe your job?This week's episode is a masterclass in both excitement and existential dread. From Google's hilariously-named (yet wildly powerful) Nano Banana model to major shifts in enterprise AI, Isar Meitis pulls back the curtain on the biggest news, breakthroughs, and business implications in AI from the past week.In this session, you'll discover:What the heck is Nano Banana and why it's a game-changer in image/video generationThe 3 major gaps in AI-generated visuals and how close we are to closing themWhy AI-native startups hit $18.5B in revenue and what that means for legacy companiesThe truth behind job loss vs. job creation in the age of AIMorgan Stanley's bold $920B AI forecast for the S&P 500Real-world enterprise AI use cases (yes, one reduced a 15-week process to 10 minutes)Scary security lapses in major LLMs, and the surprising players working to fix itRobots learning just by watching videos and what that means for your operationsAI lawsuits, government deals, and macro-level power plays shaping the futureAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Google's Nano Banana is the best AI image editor we've ever seen & it bodes well for the future of Gemini going forward. But even better, it's actually useful in everyday life. In other AI News, OpenAI's new Realtime API improves its voice AI systems. It's also taking people back from Meta who is also doing a deal with Midjourney. YES, it's the CIRCLE OF AI…. Plus Unitree's robot carries heavy stuff, Krea's got a new real time AI video model, NVIDIA's cutting edge new algo that speeds up LLMS & yet another demo of our very own new start-up AndThen!  WE GO BANANAS. AGAIN AND AGAIN. YOU KNOW THE DEAL. #ai #ainews #openai   Come to our Discord to try our Secret Project: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Nano Banana Lands aka Google Flash 2.5 Image https://x.com/GeminiApp/status/1960342037536108930 Logan From Google “Past Forward” Nano Banana Demo https://x.com/LimitlessFT/status/1960377217940152377 Gavin Nano Banana Pics:  https://x.com/gavinpurcell/status/1960352979527041280 Took a old pic & made the do the electric slide: https://x.com/gavinpurcell/status/1960376142365327548 Isometric From Building https://x.com/demishassabis/status/1960716082890657828 https://x.com/demishassabis/status/1961077016830083103 Gavin Space Needle https://x.com/gavinpurcell/status/1961088493385638074 Kevin's Isometric Games Repositioning https://x.com/Attack/status/1961090913142460668 Our SpeedRun Photo https://x.com/gavinp urcell/status/1960450271009558636 OpenAI Realtime Update Demo https://openai.com/index/introducing-gpt-realtime/ People Already Leaving Meta's SuperIntelligence Lab https://www.businessinsider.com/meta-superintelligence-team-researchers-exit-ai-push-2025-8 BUT Hypernova Glasses Coming This Year https://x.com/mingchikuo/status/1960513106704277658 Meta + Midjourney https://x.com/alexandr_w ang/status/1958983843169673367 New Codex Update https://x.com/OpenAIDevs/status/1960809814596182163 NVIDIA Jet-Nemotron https://x.com/JacksonAtkinsX/status/1960090774122483783 Vibe-Voice Open Source TTS From MSFT https://x.com/realmrfakename/status/1960008298545270981 Krea Real Time Video Model https://x.com/krea_ai/status/1961074072487620635 Google's AI Hurricane Model Give 72 Hour Heads up on Cat 5 Hurricane https://arstechnica.com/science/2025/08/googles-ai-model-just-nailed-the-forecast-for-the-strongest-atlantic-storm-this-year/ Unitree A2 Carries 250kg Up & Down Stairs https://www.reddit.com/r/singularity/comments/1n0rvm6/unitree_a2_is_doing_endurance_tests_w_250kg_in/ Triple Backflip on Spot | Boston Dynamics https://youtu.be/LMPxtcEgtds?si=CF1sSdH__CRa9gLU Zuck Vs Sam Matrix Video https://www.reddit.com/r/Bard/comments/1n1dt1g/forget_google_this_is_the_power_of_open_source/ Top 100 Gen AI App List From The Olivia Moore/a16z https://a16z.com/100-gen-ai-apps-5/ AndThen Homepage (sign up for updates!) https://andthen.chat/

Join Simtheory and get $10 off with STILLRELEVANT---CHAPTERS:00:00 - gpt-realtime: first impressions32:20 - AI model cost to value ration: what are you willing to pay?38:56 - nano-banana (aka Gemini 2.5 Flash Image)46:45 - We're working on workspace computer v258:20  - Pixverse v5 transitions are cool1:01:14 - final thoughts for the week----Thanks for all of your support.

Can NVIDIA's recent earnings continue to bolster the market? Or maybe Nano Banana is the savior of AI? Travis Hoium, Jon Quast, and Dan Caplinger discuss: - NVIDIA's earnings- Nano Banana from Google Gemini- Spotify gets social- Dollar General show momentum in retail. Companies discussed: NVIDIA (NVDA), Alphabet (GOOG), Microsoft (MSFT), Meta Platforms (META), Dollar General (DG), Dollarama (DOL), Spotify (SPOT). Host: Travis HoiumGuests: Jon Quast, Dan CaplingerEngineer: Bart Shannon Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. Learn more about your ad choices. Visit megaphone.fm/adchoices

Nvidia's earnings are ok, but maybe showing signs of normalizing. Copilot for your TV. A blockchain for your cloud. I catch you up on that whole Nano Banana image AI craze sweeping the internet. And a summary of the Pixel phone reviews. Links: Nvidia beats on top and bottom lines as company expects breakneck AI spend to continue (CNBC) Microsoft expands Xbox Cloud Gaming to Game Pass Core and Standard subscribers (The Verge) Microsoft's Copilot AI is now inside Samsung TVs and monitors (The Verge) Google Cloud is developing its own blockchain for payments, currently in private testnet (The Block) Google Gemini's AI image model gets a ‘bananas' upgrade (TechCrunch) Nothing busted using professional photos as Phone 3 samples (The Verge) Google Pixel 10 Pro review: the best AI phone on the market (The Shortcut) Learn more about your ad choices. Visit megaphone.fm/adchoices

Google improves Gemini AI image editing with 'Nano Banana' model. THIS is why large language models can understand the world. Building a16z's personal AI workstation with four NVIDIA RTX 6000 Pro Blackwell Max-Q GPUs. Elon Musk says xAI has open sourced Grok 2.5. Google says it dropped the energy cost of AI queries by 33x in one year. We must build AI for people; not to be a person. AI 'deadbots' are persuasive — and researchers say they're primed for monetization. AI robots are helping South Korea's seniors feel less alone. College student's "time travel" AI experiment accidentally outputs real 1834 history. Forget Uber Eats—Chipotle's latest delivery option might shock you. There are two types of ddishwasher people. Would you go on a tour of your local Amazon warehouse? Perplexity has cooked up a new way to pay publishers for their content. Wired and Business Insider remove articles by AI-generated 'freelancer'. The South Slope Derby. Checking in on the Internet Roadtrip. TikTok. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: M.G. Siegler Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. 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: helixsleep.com/twit zscaler.com/security pantheon.io

Today's AI Daily Brief covers the groundbreaking release of Google's Nano Banana image generation model, which has taken the AI community by storm over the past few weeks. Google officially revealed that Nano Banana is actually Gemini 2.5 Flash, now available as a free preview in Google AI Studio, offering unprecedented image editing capabilities with perfect object consistency and incredible prompt adherence. The model dominates benchmarks, scoring 17% higher than competitors like Flux, and opens up seven transformative use cases from professional photo editing to 3D mesh generation. This represents a major leap forward in multimodal AI that could reshape entire industries from photography to game development.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Interested in sponsoring the show? nlw@breakdown.network

Today's show:On a brand-new TWiST, Jason and Alex are asking why there are SO MANY note-taking AI apps?Plus another death has been linked to ChatGPT… is it too easy to get past chatbot guardrails? Why Donald Trump Jr. is joining Polymarket…. How the US Navy could catch up with its international rivals… AND should Apple just buy a big AI company to help them catch up?All that PLUS a visit from Colin Russ, whose viral H1B Visa thread might just inspire Jason to reach out to his good friend, Vice President JD Vance. Check out the full episode!Timestamps:(0:00) Intro, Jason's checking out Notion's new AI note taking app… is it time to cancel Granola?(06:57) How Google Gemini's new 2.5 Flash Image tool (formerly known as “nano-banana”) could change advertising(10:28) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(11:40) Show Continues…(17:50) Another death linked to ChatGPT… is it too easy to get around AI chatbot guardrails?(19:26) Vouched - Trust for agents that's built for builders like you. Check it out at http://vouched.id/twist(20:34) Show Continues…(28:10) Donald Trump Jr. invests in Polymarket and joins the board…(29:45) Northwest Registered Agent - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit https://www.northwestregisteredagent.com/twist today!(30:49) Show Continues…(33:30) How Jason thinks the US Navy could catch up with China and other rivals, with help from startups(40:01) Do Jason and Alex think Apple might REALLY buy a big, expensive AI company? Would that be admitting defeat?(45:57) Colin Russ (@ThaaatColin) tells us about his viral X thread and why he's worried about H1B visa fraud(55:32) Jason's solution for the H1B system, and a message for VP Vance.(01:08:25) Jason responds to Kara Swisher, who accused him sucking up to power(01:19:07) Jason responds to his old pal Sam Harris, who thinks he's loyal to the wrong peopleSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:28) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(19:26) Vouched - Trust for agents that's built for builders like you. Check it out at http://vouched.id/twist(29:45) Northwest Registered Agent - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit https://www.northwestregisteredagent.com/twist today!Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Nano Banana is no longer a mystery.Google officially released Gemini 2.5 Flash Image on Tuesday (AKA Nano Banana), revealing it was the company behind the buzzy AI image model that had the internet talking. But... what does it actually do? And how can you put it to work for you? Find out in our newish weekly segment, AI at Work on Wednesdays.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:Gemini 2.5 Flash Image (Nano Banana) RevealBenchmark Scores: Gemini 2.5 Flash Image vs. CompetitionMultimodal Model Capabilities ExplainedCharacter Consistency in AI Image GenerationAdvanced Image Editing: Removal and Object ControlIntegration with Google AI Studio and APIReal-World Business Use Cases for Gemini 2.5Live Demos: Headshots, Mockups, and InfographicsGemini 2.5 Flash Image Pricing and LimitsIterative Prompting for AI Image CreationTimestamps:00:00 "AI Highlights: Google's Gemini 2.5"06:17 "Nano Banana AI Features"09:58 "Revolutionizing Photo Editing Tools"12:31 "Nano Banana: Effortless Video Updating"14:39 "Impressions on Nano Banana"19:24 AI Growth Strategies Unlocked20:58 Turning Selfie into Professional Headshot24:48 AI-Enhanced Headshots and Team Photos29:51 "3D AI Logo Mockups"32:22 Improved Logo Design Review35:41 Photoshop Shortcut Critique38:50 Deconstructive Design with Logos44:01 "Transform Diagrams Into Presentations"46:12 "Refining AI for Jaw-Dropping Results"Keywords:Gemini 2.5, Gemini 2.5 Flash Image, Nano Banana, Google AI, Google DeepMind, AI image generation, multimodal model, AI photo editing, image manipulation, text-to-image model, image editing AI, large language model, character consistency, AI headshot generator, real estate image editing, product mockup generator, smart image blending, style transfer AI, Google AI Studio, LM Arena, Elo score, AI watermarks, synthID fingerprint, Photoshop alternative, AI-powered design, generative AI, API integration, Adobe integration, AI for business, visual content creation, creative AI tools, professional image editing, iterative prompting, interior design AI, infographic generator, training material visuals, A/B test variations, marketing asset creation, production scaling, image benchmark, AI output watermark, cost-effective AI images, scalable AI infrastructure, prompt-based editing, natural language image editing, OpenAI GPT-4o image, benchmarking leader, visSend 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 Logan Kilpatrick about Google's new Gemini 2.5 Flash Image model (Nano Banana), he showcases its capabilities for image generation and editing. We explore practical applications including creating marketing assets, product placement, and interactive experiences, all accessible through Google's AI Studio platform. The conversation highlights both the technical capabilities and business opportunities for developers or vibe coders to build innovative products with this technology. Timestamps: 00:00 - Intro 02:34 - Nano Banana Overview 04:55 - Demo of AI-generated product ads 10:06 - Demo of Social Assets 11:41 - Demo AI-Generated Mockup Generator 15:05 - How to edit image with prompting 18:45 - Best Practices for Prompting 21:18 - Product placement demonstration 23:04 Three Levels of Using the Model 25:54 - Why you should start using Nano Banana now Try Nano Banana: https://startup-ideas-pod.link/nano-banana Key Points: • Logan Kilpatrick demonstrates Google's new Gemini 2.5 Flash Image model (nicknamed "Nano Banana") • The model excels at fast image generation and editing with impressive quality at low cost (about 4 cents per image) • Multiple product applications are showcased including ad creation, image editing, and interactive experiences • AI Studio provides free access to experiment with the model through chat and pre-built applications • Developers can "vibe code" custom applications using the model's capabilities 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: boringmarketing.com  The Vibe Marketer - Join the Community and Learn: 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 LOGAN ON SOCIAL X/Twitter: https://x.com/OfficialLoganK  Youtube: https://www.youtube.com/@LoganKilpatrickYT  LinkedIn: https://www.linkedin.com/in/logankilpatrick/