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Well, America and Israel have officially attacked Iran. We'll break down the who, what, when, where, why, and our takes. Plus, Ben got scary medical news in the bonus. NEW MERCH OUT! Get 10% off when you sign up and also get bonus content, ad-free versions and more plus your first 7 days free at https://benandemilshow.com ***THE SOUTHWEST COMPANION PASS IS BACK GET IT HERE: https://www.cardratings.com/bestcards/featured-credit-cards?src=691608&shnq=520080,4028088,4048122,4028085,3006151,4048149,4028089,4048084&var2= The newest acid video is out now so check it out! https://youtu.be/7vkFY3f5kkw WATCH THE LATEST EPISODE OF EMIL'S NEW SHOW! https://www.youtube.com/watch?v=PHG9iIjhXvI Give this video a thumbs up if you enjoyed it! And please leave us a comment! It helps us! ***Ben's new movies and tv podcast with Dillon is OUT NOW! GO WATCH the latest episode on our TOP MOVIES OF 2025: https://youtu.be/tbC-cMqcby8?si=tO0NK0PmpN2187ir **CHECK OUT EMIL'S LIVESTREAMS HERE: https://www.youtube.com/emilderosa __ SOME OTHER VIDEOS YOU MAY ENJOY: That's Cringe of Cody Ko: https://youtu.be/dTbEk0pVh2w Our AUSTIN VIDEO: https://youtu.be/yGSs56bFzRU Our episode with Kyla Scanlon: https://youtu.be/cIHWkY35cuc Big Tech is out of ideas (ft. ED ZITRON): https://youtu.be/zBvVGHZBpMw Arguing with a millionaire (ft. Chris Camillo): https://youtu.be/1ZUWTkWV_MM We bought suits HERE: https://youtu.be/_cM1XqA9n2U ***LINK TO OUR DISCORD: https://discord.gg/CjujBt8g ***Subscribe to Emil's Substack: https://substack.com/@emilderosa ***Trade with Ben at https://tradertreehouse.com __ RAG & BONE: Upgrade your denim game with rag & bone! Get 20% off sitewide with code BAES at https://www.rag-bone.com #ragandbonepod SUPERPOWER: Head to https://Superpower.com and use code BAES at checkout for $20 off your membership. Live up to your 100-Year potential. #superpowerpod SHOPIFY: Sign up for your one-dollar-per-month trial today at https://shopify.com/baes. __ Follow us on instagram! @ benandemilshow @ bencahn @ emilderosa #podcast #comedypodcast #coffeezilla #robinhood #dailyshow #profg #scottgalloway Learn more about your ad choices. Visit podcastchoices.com/adchoices
Emma Storey: How 2 part-time working mums billed £500K in their first 2 years!Emma Storey never thought she'd still be in recruitment after having kids.She'd never worked with a mum in the industry. Never had a role model who'd done it. The assumption was always the same: have a baby, and your recruitment career is over.But after successfully juggling recruitment and becoming a mum inside the pandemic, in 2023 she launched her own agency with colleague Nicola Morse, a fellow working mum.They launched Hera with the plan to both work part-time, and within months, Emma soon fell pregnant with baby number 2.Inside the first 2 years, working part-time around school runs, nursery pickups and a maternity leave, they have billed £500K.That's £150K in year one during one of the worst recruitment markets in a generation, and £350K in year two with Emma off for three months and working three days a week for the rest.But what makes Emma different isn't the revenue. It's the reason she built the business in the first place.Female candidates regularly tell Hera they're nervous about wearing their wedding ring to interviews because they know it signals they might want children. Hiring managers have told them directly: we don't want people from that age range.Emma lived it herself. In one agency, a mum who left at three o'clock was met with the same comment every single day: "Thanks for coming."So Emma and Nicola built Hera around a guarantee most agencies won't make: a diverse shortlist on every single role. They positioned diversity and inclusion not as a side project but as the commercial engine. And it worked. Every client they've won has bought into it.Their target is £500K this year. They have no plans to hire a team. No plans to scale beyond two. No plans to stop billing.Inside this unique story we cover:Why Emma assumed motherhood would end her recruitment careerThe "thanks for coming" culture that still exists in agenciesWhy female candidates hide their wedding rings in interviewsHow two part-time working mums billed £500K in their first two yearsThe diverse shortlist guarantee that wins every clientWhy they target £500K a year and have zero interest in scaling beyond thatHow shared parental leave changed everything for their familyThe co-founder relationship that started at kids' swimming lessonsThis isn't about scaling fast or building an empire.It's about two women who were told, directly and indirectly, that motherhood and recruitment don't mix. They billed half a million pounds in two years working part-time and proved it wrong. Without sacrificing bedtimes, school runs, or being present for their kids.If you're a female recruiter wondering whether you can have children, build a business, and still love what you do, this episode is your blueprint.__________________________________________Episode Sponsor: AtlasLet's be honest. Admin is one of the biggest drains on growth in a recruitment business.That's where Atlas comes in.Atlas is the AI-first recruitment platform built for modern agencies that want to scale without adding more manual work.It doesn't just track CVs and calls. It captures every conversation - emails, interviews, client calls - and makes it fully searchable.With Magic Search, you can literally ask:Who mentioned they're open to relocating next year?Who talked about wanting a four-day week?Who's worried about their commute?Atlas searches across real conversations, not just keywords on a CV, and gives you answers instantly.Atlas 2.0 also makes business development easier. With Opportunities, you can track and grow client relationships using generative AI, all inside your existing workflow.And this isn't hypothetical.Atlas customers have reported up to 41% EBITDA growth and an 85% increase in monthly billings after adopting the platform.No admin. No silos. No lost information.Just faster shortlists, better hires, and more time spent on the work that actually drives revenue.If you want to see what the future of recruitment looks like, unlock your exclusive RAG listener offer at:https://recruitwithatlas.com/therag/__________________________________________Episode Sponsor: HoxoEvery recruitment founder is investing in LinkedIn.Spending thousands on Recruiter licences.Building connections. Posting content. Growing networks.But here's the question almost no one can answer:How much revenue is LinkedIn actually bringing into your business?Most founders have thousands of connections but no clear process to turn that attention into cash.That's the problem we solve.At Hoxo, we help recruitment founders build predictable revenue systems on LinkedIn, not just noise or vanity metrics.Our clients are turning LinkedIn into £100K–£300K in new billings within months, using their existing networks and a simple repeatable process.To show you how it works, we've created a short training video exclusively for RAG listeners.In less than 10 minutes, you'll learn:Why most recruiters are getting zero measurable ROI from LinkedInHow small, niche teams are generating consistent inbound demandThe 3X Revenue System we use to turn LinkedIn into a predictable cash-generating channelSo fill in the form today to see how this system could transform LinkedIn into your agency's most profitable channel: https://hubs.ly/Q03lBpYC0
Süleyman Ragıp Yazıcılar'ın kaleminden "İnsan Bu, Takılır Kalır Bazen". Bu yazı Genç Dergisi'nin Kasım 2025 sayısında yayınlanmıştır. Seslendiren: M. Abdurrahman IŞIK Şimdi Youtube, SoundCloud ve Spotify üzerinden dinleyebilirsiniz. #pod #gençpodcast #podcasts #podcasting #seslidergi #gençdergi
In this episode, Adam Torres interviews James Rembert, Co-Founder of WEConnect LA, live from a downtown Los Angeles WEConnect LA event. James shares the origin of the community, his approach to coaching and implementation, and how WEConnect LA brings entrepreneurs together to collaborate, learn, and apply AI and emerging tech in practical ways. About James Rembert James founded DigitalNatives Inc. and now specializes in RAG agents, agentic development, and marketing strategy. But his story actually starts in a pretty different place: as a licensed realtor in New Jersey. What started as solving his own lead generation challenges turned into something much bigger. He didn't just crack the code for his business. He actually changed how real estate marketing works by making lead generation not only easier to understand, but genuinely accessible through training. Now he's helping other professionals navigate the same challenges he once faced, but with a lot less confusion and a lot more clarity. About of WEConnect LA Designed to help leaders build brands that fascinate, generate revenue, and scale with intention- creating real impact across business, real estate, and the communities they serve. Follow Adam on Instagram at https://www.instagram.com/askadamtorres/ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: https://missionmatters.lpages.co/podcastguest/ Visit our website: https://missionmatters.com/ More FREE content from Mission Matters here: https://linktr.ee/missionmattersmedia Learn more about your ad choices. Visit podcastchoices.com/adchoices
Welcome to Get Up in the Cool: Old Time Music with Cameron DeWhitt and Friends. This week's friend is Evan Coombs! We recorded this on Sunday at my home in Portland, Oregon. Tunes in this episode: Little Pine Siskin (John Reischman original) (1:22) Rattletrap (22:06) I Wash Myself with a Rag on a Stick (Kieran Towers & Charlotte Carrivick original) (45:16) The Cuckoo (52:15) The Black Ball Line (Alex Sturbaum original) (1:01:29) BONUS TRACK: Speed the Plough Follow The Strongback Shanty Choir on Instagram and stream their album Come see Morgan Harris and I play at Abbie Weisenbloom's in Portland on March 12 Sign up for my Learning Tunes on the Fly workshop series! Help ReString Appalachia support Jamaican musicians Support Get Up in the Cool on Patreon Send Tax Deductible Donations to Get Up in the Cool through Fracture Atlas Sign up at Pitchfork Banjo for my clawhammer instructional series! Schedule a banjo lesson with Cameron Visit Tall Poppy String Band's website and follow us on Instagram follow Sweeten the Third on Instagram
The boys talk vacation plans, parenting potential artistic phenoms, waiting in the truck, and Ozempic side effects Boeing didn't see coming. Follow Sebastian: @SebastianComedy Follow Pete: @PeteCorreale To watch the podcast on YouTube: https://bit.ly/PeteAndSebastianYouTube Don't forget to follow the podcast for free wherever you're listening or by using this link: https://bit.ly/PeteAndSebastian If you like the show, telling a friend about it would be amazing! You can text, email, Tweet, or send this link to a friend: https://bit.ly/PeteAndSebastian For Sebastian's tour dates, go to: https://www.sebastianlive.com/ For Pete's tour dates, go to: https://www.petecorreale.com/ Sign up for your one-dollar-per-month trial today at https://shopify.com/thecast It's time to upgrade your denim with Rag & Bone. For a limited time, our listeners get 20% off their entire order with code THECAST at https://rag-bone.com Learn more about your ad choices. Visit podcastchoices.com/adchoices
AI is revolutionizing the legal industry, but the hidden risks of hallucinations are costing companies millions. Discover how Monjur is solving the AI verification paradox by combining cutting-edge LLMs with human attorney supervision to protect growing businesses. Rob Scott, Co-founder and CEO of Monjur, joins the Born in Silicon Valley podcast to reveal his journey from managing partner of a tech law firm to bootstrapping a legal AI startup to $3 million in ARR. He breaks down the exact RAG architecture and proprietary confidence scoring system his team built to eliminate AI hallucinations and achieve over 98 percent accuracy in legal workflows. We dive deep into the challenges of pivoting a SaaS 1.0 company to an AI-first model, the realities of raising a Series A, and why the future of legal tech is about amplifying human empathy rather than replacing it. Whether you are a startup founder looking to leverage AI or an entrepreneur curious about the future of legal tech, this episode is packed with actionable insights on scaling a B2B SaaS business. Chapters 00:00 Introduction and Technical Setup 02:35 Rob Scott's Background and Legal Expertise 05:16 Transitioning from Law to Tech Entrepreneurship 08:16 Client-Centric Approach in Startup Development 11:27 AI in Legal Services: Opportunities and Risks 14:27 Target Audience and Market Strategy 17:15 Building a Reliable AI System 20:03 The Role of a Non-Engineer in Tech Development 23:07 Bootstrapping vs. Venture Capital 26:10 Hiring and Team Dynamics in a Growing Startup 29:02 Future Growth and Scaling Strategies 32:14 Challenges in Transitioning to AI 35:07 The Future of AI in Legal Work 37:57 Client Relationships and AI's Role 40:54 Vision for the Future of Monjour Host: Jake Aaron Villarreal leads the top AI recruitment firm in Silicon Valley, www.matchrelevant.com, uncovering stories of funded startups and going behind the scenes to tell their founders' journeys. If you are growing an AI startup or have a great story to tell, email us at: jake.villarreal@matchrelevant.com
If large language models are so powerful, why can they still get basic things wrong? In this episode, we take a practical look at how AI systems actually work, why hallucinations happen by design, and what's being done to reduce them. We break down core concepts like probabilistic prediction, chain-of-thought reasoning, RAG systems, context windows, API orchestration, and cost structures. Not from a tech hype lens, but from a business one. Most importantly, we explore what this means for seafood companies integrating AI into real workflows: how to think about reliability, data access, governance, and long-term cost before plugging models into sensitive systems. This isn't about whether AI will matter but about how to use it responsibly at scale. For more aquaculture insights head to our Fish n' Bits blog.
Как справляться с потоком информации, не забывать детали рабочих созвонов и превращать хаос в структуру? Виктор делится своей системой Personal Knowledge Management (PKM) в Obsidian. В этом выпуске разбираем теорию «Второго мозга»: от пирамиды знаний до метода Zettelkasten и системы организации папок Johnny Decimal. Саша скептически ищет практическую пользу, а Виктор показывает свой граф заметок. Также внутри — анонс нашей книги про Kubernetes интервью и список мастхэв плагинов. О чём выпуск: - Пирамида DIKW: Чем данные отличаются от мудрости и как это процессить. - Методологии: Zettelkasten (связи) и Johnny Decimal (структура папок). - AI и Obsidian: Как сделать RAG по своим заметкам с помощью Copilot и локальных моделей. - Синхронизация: Git, S3, WebDAV или платные сервисы — что выбрать. - Плагины: Обзор базового набора (Dataview, Excalidraw, Templater и др.). - Анонс книги: Как мы 2 года писали «Cracking the Kubernetes Interview». ССЫЛКИ
SPONSORS: 1) MOOD: Head to https://Mood.com and use code JULIAN 20% off your first order now! 2) RAG & BONE: Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code JULIAN at www.rag-bone.com #ragandbonepod JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey (***TIMESTAMPS in description below) ~ Dave Franke is a former Mexican law enforcement officer and undercover agent who spent years fighting cartels in high-conflict regions like Zacatecas. After a dramatic personal redemption from a gang background in California, he now shares his firsthand accounts of cartel warfare and ritualistic crimes across major media platforms. FOLLOW JULIAN DOREY INSTAGRAM (Podcast): https://www.instagram.com/juliandoreypodcast/ INSTAGRAM (Personal): https://www.instagram.com/julianddorey/ X: https://twitter.com/julianddorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 00:00– DHS Portland shooting, Trump gun comment, Agenda 21/30, 14:10 – Gun control shift, apathy, Minnesota, Somali blame vs gov, foreign policy, Maslow 25:10 – War/pop control, police protect power, Taiwan, Mexico war fallout, DOJ drugs 35:51 – Due process, habeas corpus, power vs law, Kash Patel rant, “Constitution illegal” 45:27 – Constitution origins, gov impunity, vet bros, no Mexico war 57:20 – CIA/cartels, Freeway Ricky Ross, Contras, Mexico violence 01:06:01 – LA birth, trans dad, Vietnam father, Manson link, adopted SF 01:14:57 – Mother loss, forgiveness, guns young, strict upbringing 01:26:42 – Drive, encyclopedias, chess, birth certificate questions 01:34:43 – Divorce, abusive stepdad, sexual assault 01:44:10 – Corporal punishment, school violence 01:48:37 – Juvenile hall, skinheads, gangs, drugs, armed robbery 01:59:11 – Jail, Andre sobriety, GED, near Mormonism 02:22:45 – Self-reflection, wife changed him, Utah, estranged daughters 02:31:54 – Probation break, Nation of Islam influence 02:43:52 – Rehab divorce, relapse, 29 years sober 02:57:29 – Cartels coming CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef - https://www.instagram.com/joeydeef/ Julian Dorey Podcast Episode 386 - Dave Franke Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices
Kelly Keegs from Barstool Sports joins the show to talk plane etiquette, going viral for the plane breakup video, central park horses, rodeo names, then we close it down with This Weekend in Fun. Support us on Patreon and receive weekly episodes for as low $5 per month: www.patreon.com/circlingbackpodcast Watch all of our full episodes on YouTube: www.youtube.com/washedmedia Shop Washed Merch: www.washedmedia.shop • (00:00) Fun & Easy Banter • (7:50) What's up with Kelly Keegs? • (1:11:45) Rodeo Names • (1:25:45) This Weekend in Fun Support This Episode's Sponsors: - Rhoback: Go to https://rhoback.com/ and use code LUTES20 for 20% off your first order - Ridge: Our listeners get 10% off at Ridge by using code STEAM at checkout at https://ridge.com/ - Tecovas: Right now get 10% off at https://tecovas.com/crclbk when you sign up for email and texts. - Lola Blankets: Head to https://lolablankets.com/ and use code STEAM to get 40% OFF your order - Rag & Bone: Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code STEAM at https://www.rag-bone.com/ #ragandbonepod Learn more about your ad choices. Visit megaphone.fm/adchoices
AI is transforming how businesses operate and how early-career talent grows. In this episode, UTG Unlocked, Mark Stockford (GVP, Global Cloud Operations) and Alyssa Gerhart (former intern, now full-time employee) share how AI is reshaping work at ServiceNow—from strategic impact to day-to-day execution. Our guest hosts Jorden Shelton and Cynthia Mathenge guide the conversation and explore real AI use cases like Unity, RAG-based duplicate detection, and intent detection, while emphasizing the importance of critical thinking and strong fundamentals. In this episode, designed not just for recent interns, you’ll learn how AI is expanding career paths, how teams like Global Cloud Services power innovation behind the scenes, and what interns and early-career professionals can do now to grow: stay curious, use AI intentionally, seek mentors, and don’t just consume—contribute. UTG is the engine behind the scenes here at ServiceNow — enabling innovation, maintaining production environments, supporting internal teams, and driving operational excellence. It connects strategy to execution by combining engineering, cloud operations, and technology operations to deliver stable, high-performing systems that allow the business and customers to succeed. For more information about the Early Careers program visit - https://careers.servicenow.com/early-careers/ 00:00 Welcome & What ‘UTG Unlocked’ Is All About 02:50 Meet the Panel: Mark, Alyssa, Jorden & Cynthia 04:29 Segment 1: How AI Is Impacting the Business (Customers vs. Employees) 06:26 Skills That Matter in an AI-Powered Workplace 09:52 Real AI Use Cases: Unity, Agents, and Faster Ops 13:57 AI and Career Growth: New Roles, New Paths, Partnering with AI 18:56 Advice for Early-Career Talent: Stay Curious, Build, Contribute 20:41 Segment 2 Kickoff: Rapid-Fire Fun28:50 Pulling Back the Curtain: What is GCS 30:37 GCS as a Superhero: Operating in the Shadows Like Batman 31:35 The Hidden Work: Solving Customer-Created Problems & Root-Cause Hunting 33:37 Alyssa’s Journey: Intern to FTE, Mentorship, and Scaling Developer Productivity 35:38 What’s Next: Emerging Tech on the Radar (AI to Quantum Computing) 37:15 Closing Takeaways: Keep Learning, Use AI Wisely, Ask Questions, and Give Back 40:12 Final Words & Where to Learn More See omnystudio.com/listener for privacy information.
AI is transforming how businesses operate and how early-career talent grows. In this episode, UTG Unlocked, Mark Stockford (GVP, Global Cloud Operations) and Alyssa Gerhart (former intern, now full-time employee) share how AI is reshaping work at ServiceNow—from strategic impact to day-to-day execution. Our guest hosts Jorden Shelton and Cynthia Mathenge guide the conversation and explore real AI use cases like Unity, RAG-based duplicate detection, and intent detection, while emphasizing the importance of critical thinking and strong fundamentals. In this episode, designed not just for recent interns, you’ll learn how AI is expanding career paths, how teams like Global Cloud Services power innovation behind the scenes, and what interns and early-career professionals can do now to grow: stay curious, use AI intentionally, seek mentors, and don’t just consume—contribute. UTG is the engine behind the scenes here at ServiceNow — enabling innovation, maintaining production environments, supporting internal teams, and driving operational excellence. It connects strategy to execution by combining engineering, cloud operations, and technology operations to deliver stable, high-performing systems that allow the business and customers to succeed. For more information about the Early Careers program visit - https://careers.servicenow.com/early-careers/ 00:00 Welcome & What ‘UTG Unlocked’ Is All About 02:50 Meet the Panel: Mark, Alyssa, Jorden & Cynthia 04:29 Segment 1: How AI Is Impacting the Business (Customers vs. Employees) 06:26 Skills That Matter in an AI-Powered Workplace 09:52 Real AI Use Cases: Unity, Agents, and Faster Ops 13:57 AI and Career Growth: New Roles, New Paths, Partnering with AI 18:56 Advice for Early-Career Talent: Stay Curious, Build, Contribute 20:41 Segment 2 Kickoff: Rapid-Fire Fun28:50 Pulling Back the Curtain: What is GCS 30:37 GCS as a Superhero: Operating in the Shadows Like Batman 31:35 The Hidden Work: Solving Customer-Created Problems & Root-Cause Hunting 33:37 Alyssa’s Journey: Intern to FTE, Mentorship, and Scaling Developer Productivity 35:38 What’s Next: Emerging Tech on the Radar (AI to Quantum Computing) 37:15 Closing Takeaways: Keep Learning, Use AI Wisely, Ask Questions, and Give Back 40:12 Final Words & Where to Learn More See omnystudio.com/listener for privacy information.
The boys went out last night and got a little banged up, Brett wants to kill Randy over some shrimp scampi, someone attempted to tweet mog Dillon, an incredible hazing video has surfaced, and B Dubs is being sued. Support us on Patreon and receive weekly episodes for as low $5 per month: www.patreon.com/circlingbackpodcast Watch all of our full episodes on YouTube: www.youtube.com/washedmedia Shop Washed Merch: www.washedmedia.shop • (00:00) Fun & Easy Banter • (13:40) The Boys Lutemaxxed Last Night • (25:40) Scampi Gate • (46:50) Geed vs. GDI • (1:05:05) Buffalo Wild Wings Lawsuit Support This Episode's Sponsors: - Rhoback: Go to https://rhoback.com/ and use code LUTES20 for 20% off your first order - Ridge: Our listeners get 10% off at Ridge by using code STEAM at checkout at https://ridge.com/ - Tecovas: Right now get 10% off at https://tecovas.com/crclbk when you sign up for email and texts. - Lola Blankets: Head to https://lolablankets.com/ and use code STEAM to get 40% OFF your order - Rag & Bone: Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code STEAM at https://www.rag-bone.com/ #ragandbonepod Learn more about your ad choices. Visit megaphone.fm/adchoices
Rahul Raja is a Staff Software Engineer at LinkedIn, working on large-scale search infrastructure, information retrieval systems, and integrating AI/ML to improve ranking and semantic search experiences.The Future of Information Retrieval: From Dense Vectors to Cognitive Search // MLOps Podcast #362 with Rahul Raja, Staff Software Engineer at LinkedInJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractInformation Retrieval is evolving from keyword matching to intelligent, vector-based understanding. In this talk, Rahul Raja explores how dense retrieval, vector databases, and hybrid search systems are redefining how modern AI retrieves, ranks, and reasons over information. He discusses how retrieval now powers large language models through Retrieval-Augmented Generation (RAG) and the new MLOps challenges that arise, embedding drift, continuous evaluation, and large-scale vector maintenance.Looking ahead, the session envisions a future of Cognitive Search, where retrieval systems move beyond recall to genuine reasoning, contextual understanding, and multimodal awareness. Listeners will gain insight into how the next generation of retrieval will bridge semantics, scalability, and intelligence, powering everything from search and recommendations to generative AI.// BioRahul is a Staff Engineer at LinkedIn, where he focuses on search and deployment systems at scale. Rahul is a graduate from Carnegie Mellon University and has a strong background in building reliable, high-performance infrastructure. He has led many initiatives to improve search relevance and streamline ML deployment workflows.// Related LinksWebsite: https://www.linkedin.com/Coding Agents Conference: https://luma.com/codingagents~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Rahul on LinkedIn: /rahulraja963/Timestamps:[00:00] Vector Search for Media[00:33] RAG and Search Evolution[04:45] Cognitive vs Semantic Search[08:26] High Value Search Signals[16:43] Scaling with Embeddings[22:37] BM25 Benchmark Bias[29:00] Video Search Use Cases[31:21] Context and Search Tradeoff[35:04] Personal Memory Augmentation[39:03] Future of Cognitive Search[44:51] Access Control in Vectors[49:14] Search Ranking Challenge[54:43] Hard Search Problems Solved[58:29] Freshness vs Cost[1:02:12] Wrap up
Send a textHunter Jensen of Barefoot Solutions, and Sid unpack why AI is moving so fast and the important basics leaders skip during implementation and use: data quality, governance, and a focused strategy that targets real ROI. Hunter shares practical use cases across support, HR, and sales, plus how to deploy secure, private LLMs with RAG for reliable answers from your own data.• Three Cs of data: clean, current, complete• Difference between generative AI and legacy machine learning• Strategy vs policy vs plan vs governance• Risks of public LLMs and data exposure• Practical use cases: documentation, support, HR, sales• RAG explained for secure document search• ROI modeling to pick a killer use case• Hunter's pivot to product and Compass platform• Staying current with daily newsletters over booksReferences:Rocky Mountain Marketing Podcast Ep 410 -Is Your Team Putting Business Data at Risk with ChatGPT with Hunter Jensen https://podcasts.apple.com/us/podcast/is-your-team-putting-business-data-at-risk-with/id1506956667?i=1000727063525The Rundown AI Newsletter - https://www.therundown.ai/Connect with Hunter:Barefoot Solutions - https://www.barefootsolutions.com/Barefoot Labs - https://www.barefootlabs.ai/Email - hunter@barefootlabs.aiThe workplace is changing faster than the conversations guiding it. We're stepping up with a sharper plan for Season Seven: weekly episodes designed to spark action, challenge assumptions, and give you practical tools to build spaces and businesses that actually work. Connect with Sid: Home Page: www.sidmeadows.comPodcast Website: https://www.sidmeadows.com/podcast Sid on LinkedInSid on InstagramSid on YouTube The Trend Report introduction music is provided by Werq by Kevin MacLeod Link: https://incompetech.filmmusic.io/song/4616-werq License: http://creativecommons.org/licenses/by/4.0/
Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM This episode tracks how Manbhawan Prasad and the Word team are evolving Copilot from simple prompt-based help to goal-based “agent mode” that can plan and edit documents directly. You will hear practical, enterprise-focused examples: using SharePoint knowledge as authoritative context, reducing blank-page inertia, mirroring customer language from emails and meeting transcripts, and using AI as an always-on reviewer for structure, clarity, and accuracy.
I dag skal vi snakke om noe som for bare få år siden ville hørtes helt science fiction ut: kunstig intelligens i møte med menneskets indre liv.For hva skjer egentlig når vi begynner å bruke maskiner til å snakke om følelser, frykt, skam, valg og identitet? Kan kunstig intelligens hjelpe oss å forstå oss selv bedre – eller risikerer vi å outsource noe av det mest menneskelige vi har?Denne episoden handler om akkurat det spennet: mellom mulighet og fare, mellom terapi og teknologi, mellom håpet om hjelp og frykten for forenkling.Bakgrunnen for denne samtalen er et prosjekt jeg har jobbet med det siste året, som heter BeBalanced.ai. Det er et forsøk på å gi nytt liv til alt det materialet jeg har laget gjennom SinnSyn, bøkene mine og årene i terapirommet – nesten som om jeg har ansatt en digital bibliotekar på mitt eget faglige arkiv.SinnSyn har i over ti år vært en slags faglig dagbok for meg: hver episode et forsøk på å forstå litt mer av menneskets indre liv. Problemet med podkaster, bøker og artikler er bare at de ligger der – passivt. De må finnes. Og de må finnes til rett tid.Med BeBalanced.ai har jeg forsøkt å snu det på hodet: I stedet for at du leter etter riktig episode, kan du snakke om det du står i akkurat nå – og få tilbake akkurat det perspektivet, den øvelsen eller den refleksjonen som passer best i øyeblikket.Det er en AI-veileder bygget som det som kalles en RAG-modell – det betyr at den ikke bare finner på svar, men henter innsikt fra mitt eget materiale: podkaster, tekster, øvelser og foredrag. På mange måter er det en slags kloning av meg selv – på godt og vondt.Men viktigere enn teknologien er ambisjonen bak:Jeg tror ikke terapi handler om riktige svar. Jeg tror det handler om rom.Om å gjøre det indre livet større, mer nyansert, mer fleksibelt.Derfor har jeg brukt mye energi på å lage en AI som ikke er en «ja-maskin», men en veileder som er vennlig og validerende – og samtidig perspektiverende, utfordrende og litt uroliggjørende på en konstruktiv måte.I denne episoden får du høre en samtale jeg hadde med nettverket KI-geriljan, der vi snakker om hvorfor kunstig intelligens kan ha en plass i psykisk helse, hva som er de store fallgruvene, og hvorfor man må være ekstremt varsom – samtidig som man ikke bør være helt redd.Så dette er en episode om teknologi.Men først og fremst er det en episode om mennesker.Og om spørsmålet:Kan vi bruke kunstig intelligens til å utvide det menneskelige rommet – i stedet for å gjøre det mindre?Vil du ha mer psykologi og flere dypdykk i menneskets sjelsliv?Vil du har en praksis for selvutvikling og hjelp til å dykke ned i ditt eget indre liv?Da kan BeBalanced.ai være noe for deg! Hosted on Acast. See acast.com/privacy for more information.
Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant. Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) 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/
1. Klangkarussell – Ride 2. Kungs, Theophilus London – Galaxy 3. Atb, Topic, A7s – Your Love (9pm) 4. DJ Nejtrino, DJ Peretse – Road To Hell 5. Alok, Kylie Minogue – Last Night I Dreamt I Fell In Love 6. Robin Schulz, Cyril, Sam Martin – World Gone Wild 7. David Guetta, Sia – Beautiful People 8. Calvin Harris & Rag'n'bone Man – Lovers In A Past Life 9. Hugel, Solto (Fr) – Jamaican (Bam Bam 10. Sam Feldt, Oaks – My Heart Goes (Alex Caspian Remix) 11. Block & Crown Feat. Daisy – Mr Vain 12. Kaskade, Gryffin & Nu La – In My Head (Rscl Remix) 13. Eric Mars – Popcorn (Valeriy Smile Remix) 14. Hosh & 1979 Feat. Jalja – Midnight (Amice Remix) 15. Swanky Tunes, Jeddak – Angels (Love Is The Answer) 16. Alok & Ava Max – Car Keys (Ayla) 17. Kddk, The Hatters, Swanky Tunes – Wildfire 18. Dimitri Vegas & Like Mike Feat. Ne-Yo – Higher Place 19. Masters At Work – Work 20. Sound Of Legend, Siks – Voyage Voyage 21. Dimitri Vegas & Like Mike, Tiësto, Dido, W&W – Thank You Not So Bad (Alex Caspian Remix) 22. Bob Sinclar Vs Chris Lake & Sammy Virji – World Hold On 23. Ofenbach – Miles Away 24. Ava Crown X Sylver – Forgiven (Valeriy Smile Remix) 25. Gorgon City, Romans – Saving My Life (Original Mix) 26. Braaheim & Level 8 – Numb (Timber & V.Smile Remix) 27. DJ Peretse, DJ Nejtrino – Never Be Alone 28. R3hab, Mufasa & Rani – Believe (Shooting Stars) 29. Feel & Desmind & Natalie Rise – Never Go Away 30. David Guetta, Benny Benassi – Satisfaction 31. Global Deejays, DJ Taylor & Flow & Hi Fi – No Good (Start The Dance) 32. Ferry Corsten – Rock Your Body Rock (Space Motion Remix) 33. Camelphat & Elderbrook – Cola (Jerome Robins Remix) 34. Erick E The – Beat Is Rockin (Ramirez & Art Div Remix) 35. Gaullin – Moonlight 36. MoDJo – Lady Hear Me Tonight (Darren Edit) 37. Trap Mafia House – Mafia Style 38. Jkrs, Aizzo – Hung Up 39. 1-8. Malaa – Bonnie 40. Alok, Faithless, Sam Harper, Alex Christensen – Club Bizarre 41. Tiësto & Black Eyed Peas – Pump It Louder 42. Darude – Sandstorm 2k25 (DJ Morpheuz Remix) 43. DJ Nejtrino, DJ Peretse, Alex Caspian – Killing Me Softly 44. Dnce – Cake By The Ocean (Martial Simon Remix) 45. Tommy Cash – Espresso Macchiato 46. Calvin Harris – My Way (Alex Caspian Remix) 47. Roman Messer, Rocco & Thoba – Hit My Heart (Alex Caspian Remix) 48. John Summit Feat Inz Matt Sassari – Light Years 49. Maur, Dave Spoon – At Night (Extended Mix) 50. Roman Messer, Kayote – Bla Bla Bla 51. Yellow Claw Feat. Rochelle – Shotgun (Ps_Project & Danil Siyanov Remix) 52. Martin Solveig, Sam White – Plus 1 53. Daft Punk – Around The World (Westend Edit) 54. Armand Van Helden – My My My (Salvatore Mancuso Remix) 55. Calvin Harris – Feel So Close (Bermuda Remix) 56. DJ Peretse X DJ Nejtrino – Rockit 57. DJ Quba, Sandra K – Eins Zwei Polizei 58. Michael Gray Feat. Roll Deep – Can't Wait For The Weekend 59. Calvin Harris & Jessie Reyez – Ocean 60. Tungevaag, Kid Ink, Gabry Ponte – Ride With Me 61. Jaden Bojsen & David Guetta – Upside Down 62. Zerb, Sofiya Nzau – Mwaki 63. Dubdogz, Zuffo & Rhoden – Mission Impossible 64. Swedish House Mafia Feat. Tinie Tempah – Miami 2 Ibiza 65. Blackpink – Jump (Valeriy Smile Remix) 66. Kiesza – Hideaway (Eddie G & Malyx Remix) 67. Twocolors – Heavy Metal Love 68. Ava Max – Don't Click Play 69. Atb & Dopamine – Don't Stop I Wanna Know 70. Argy & Omiki – Wind 71. Moti, Amero, Hallasen – The Good, The Bad And The Ugly 72. 12 Cassian, Yotto, Da Hool – Love Parade 73. Alesso, Becky Hill – Surrender (Ayden Loyde Remix) 74. DJ Nejtrino, DJ Peretse, Dima Kaminski – Feel 75. Max Oazo – Gimme! Gimme! Gimme! 76. Lost Frequencies, Elley Duhe & X Ambassadors – Back To You 77. Alok Feat. Jess Glynne – Summer's Back
1. Klangkarussell – Ride 2. Kungs, Theophilus London – Galaxy 3. Atb, Topic, A7s – Your Love (9pm) 4. DJ Nejtrino, DJ Peretse – Road To Hell 5. Alok, Kylie Minogue – Last Night I Dreamt I Fell In Love 6. Robin Schulz, Cyril, Sam Martin – World Gone Wild 7. David Guetta, Sia – Beautiful People 8. Calvin Harris & Rag'n'bone Man – Lovers In A Past Life 9. Hugel, Solto (Fr) – Jamaican (Bam Bam 10. Sam Feldt, Oaks – My Heart Goes (Alex Caspian Remix) 11. Block & Crown Feat. Daisy – Mr Vain 12. Kaskade, Gryffin & Nu La – In My Head (Rscl Remix) 13. Eric Mars – Popcorn (Valeriy Smile Remix) 14. Hosh & 1979 Feat. Jalja – Midnight (Amice Remix) 15. Swanky Tunes, Jeddak – Angels (Love Is The Answer) 16. Alok & Ava Max – Car Keys (Ayla) 17. Kddk, The Hatters, Swanky Tunes – Wildfire 18. Dimitri Vegas & Like Mike Feat. Ne-Yo – Higher Place 19. Masters At Work – Work 20. Sound Of Legend, Siks – Voyage Voyage 21. Dimitri Vegas & Like Mike, Tiësto, Dido, W&W – Thank You Not So Bad (Alex Caspian Remix) 22. Bob Sinclar Vs Chris Lake & Sammy Virji – World Hold On 23. Ofenbach – Miles Away 24. Ava Crown X Sylver – Forgiven (Valeriy Smile Remix) 25. Gorgon City, Romans – Saving My Life (Original Mix) 26. Braaheim & Level 8 – Numb (Timber & V.Smile Remix) 27. DJ Peretse, DJ Nejtrino – Never Be Alone 28. R3hab, Mufasa & Rani – Believe (Shooting Stars) 29. Feel & Desmind & Natalie Rise – Never Go Away 30. David Guetta, Benny Benassi – Satisfaction 31. Global Deejays, DJ Taylor & Flow & Hi Fi – No Good (Start The Dance) 32. Ferry Corsten – Rock Your Body Rock (Space Motion Remix) 33. Camelphat & Elderbrook – Cola (Jerome Robins Remix) 34. Erick E The – Beat Is Rockin (Ramirez & Art Div Remix) 35. Gaullin – Moonlight 36. MoDJo – Lady Hear Me Tonight (Darren Edit) 37. Trap Mafia House – Mafia Style 38. Jkrs, Aizzo – Hung Up 39. 1-8. Malaa – Bonnie 40. Alok, Faithless, Sam Harper, Alex Christensen – Club Bizarre 41. Tiësto & Black Eyed Peas – Pump It Louder 42. Darude – Sandstorm 2k25 (DJ Morpheuz Remix) 43. DJ Nejtrino, DJ Peretse, Alex Caspian – Killing Me Softly 44. Dnce – Cake By The Ocean (Martial Simon Remix) 45. Tommy Cash – Espresso Macchiato 46. Calvin Harris – My Way (Alex Caspian Remix) 47. Roman Messer, Rocco & Thoba – Hit My Heart (Alex Caspian Remix) 48. John Summit Feat Inz Matt Sassari – Light Years 49. Maur, Dave Spoon – At Night (Extended Mix) 50. Roman Messer, Kayote – Bla Bla Bla 51. Yellow Claw Feat. Rochelle – Shotgun (Ps_Project & Danil Siyanov Remix) 52. Martin Solveig, Sam White – Plus 1 53. Daft Punk – Around The World (Westend Edit) 54. Armand Van Helden – My My My (Salvatore Mancuso Remix) 55. Calvin Harris – Feel So Close (Bermuda Remix) 56. DJ Peretse X DJ Nejtrino – Rockit 57. DJ Quba, Sandra K – Eins Zwei Polizei 58. Michael Gray Feat. Roll Deep – Can't Wait For The Weekend 59. Calvin Harris & Jessie Reyez – Ocean 60. Tungevaag, Kid Ink, Gabry Ponte – Ride With Me 61. Jaden Bojsen & David Guetta – Upside Down 62. Zerb, Sofiya Nzau – Mwaki 63. Dubdogz, Zuffo & Rhoden – Mission Impossible 64. Swedish House Mafia Feat. Tinie Tempah – Miami 2 Ibiza 65. Blackpink – Jump (Valeriy Smile Remix) 66. Kiesza – Hideaway (Eddie G & Malyx Remix) 67. Twocolors – Heavy Metal Love 68. Ava Max – Don't Click Play 69. Atb & Dopamine – Don't Stop I Wanna Know 70. Argy & Omiki – Wind 71. Moti, Amero, Hallasen – The Good, The Bad And The Ugly 72. 12 Cassian, Yotto, Da Hool – Love Parade 73. Alesso, Becky Hill – Surrender (Ayden Loyde Remix) 74. DJ Nejtrino, DJ Peretse, Dima Kaminski – Feel 75. Max Oazo – Gimme! Gimme! Gimme! 76. Lost Frequencies, Elley Duhe & X Ambassadors – Back To You 77. Alok Feat. Jess Glynne – Summer's Back
1.Klangkarussell – Ride 2.Kungs, Theophilus London – Galaxy 3.Atb, Topic, A7s – Your Love (9pm) 4.DJ Nejtrino, DJ Peretse – Road To Hell 5.Alok, Kylie Minogue – Last Night I Dreamt I Fell In Love 6.Robin Schulz, Cyril, Sam Martin – World Gone Wild 7.David Guetta, Sia – Beautiful People 8.Calvin Harris & Rag'n'bone Man – Lovers In A Past Life 9.Hugel, Solto (Fr) – Jamaican (Bam Bam 10.Sam Feldt, Oaks – My Heart Goes (Alex Caspian Remix) 11.Block & Crown Feat. Daisy – Mr Vain 12.Kaskade, Gryffin & Nu La – In My Head (Rscl Remix) 13.Eric Mars – Popcorn (Valeriy Smile Remix) 14.Hosh & 1979 Feat. Jalja – Midnight (Amice Remix) 15.Swanky Tunes, Jeddak – Angels (Love Is The Answer) 16.Alok & Ava Max – Car Keys (Ayla) 17.Kddk, The Hatters, Swanky Tunes – Wildfire 18.Dimitri Vegas & Like Mike Feat. Ne-Yo – Higher Place 19.Masters At Work – Work 20.Sound Of Legend, Siks – Voyage Voyage 21.Dimitri Vegas & Like Mike, Tiësto, Dido, W&W – Thank You Not So Bad (Alex Caspian Remix) 22.Bob Sinclar Vs Chris Lake & Sammy Virji – World Hold On 23.Ofenbach – Miles Away 24.Ava Crown X Sylver – Forgiven (Valeriy Smile Remix) 25.Gorgon City, Romans – Saving My Life (Original Mix) 26.Braaheim & Level 8 – Numb (Timber & V.Smile Remix) 27.DJ Peretse, DJ Nejtrino – Never Be Alone 28.R3hab, Mufasa & Rani – Believe (Shooting Stars) 29.Feel & Desmind & Natalie Rise – Never Go Away 30.David Guetta, Benny Benassi – Satisfaction 31.Global Deejays, DJ Taylor & Flow & Hi Fi – No Good (Start The Dance) 32.Ferry Corsten – Rock Your Body Rock (Space Motion Remix) 33.Camelphat & Elderbrook – Cola (Jerome Robins Remix) 34.Erick E The – Beat Is Rockin (Ramirez & Art Div Remix) 35.Gaullin – Moonlight 36.MoDJo – Lady Hear Me Tonight (Darren Edit) 37.Trap Mafia House – Mafia Style 38.Jkrs, Aizzo – Hung Up 39.1-8. Malaa – Bonnie 40.Alok, Faithless, Sam Harper, Alex Christensen – Club Bizarre 41.Tiësto & Black Eyed Peas – Pump It Louder 42.Darude – Sandstorm 2k25 (DJ Morpheuz Remix) 43.DJ Nejtrino, DJ Peretse, Alex Caspian – Killing Me Softly 44.Dnce – Cake By The Ocean (Martial Simon Remix) 45.Tommy Cash – Espresso Macchiato 46.Calvin Harris – My Way (Alex Caspian Remix) 47.Roman Messer, Rocco & Thoba – Hit My Heart (Alex Caspian Remix) 48.John Summit Feat Inz Matt Sassari – Light Years 49.Maur, Dave Spoon – At Night (Extended Mix) 50.Roman Messer, Kayote – Bla Bla Bla 51.Yellow Claw Feat. Rochelle – Shotgun (Ps_Project & Danil Siyanov Remix) 52.Martin Solveig, Sam White – Plus 1 53.Daft Punk – Around The World (Westend Edit) 54.Armand Van Helden – My My My (Salvatore Mancuso Remix) 55.Calvin Harris – Feel So Close (Bermuda Remix) 56.DJ Peretse X DJ Nejtrino – Rockit 57.DJ Quba, Sandra K – Eins Zwei Polizei 58.Michael Gray Feat. Roll Deep – Can't Wait For The Weekend 59.Calvin Harris & Jessie Reyez – Ocean 60.Tungevaag, Kid Ink, Gabry Ponte – Ride With Me 61.Jaden Bojsen & David Guetta – Upside Down 62.Zerb, Sofiya Nzau – Mwaki 63.Dubdogz, Zuffo & Rhoden – Mission Impossible 64.Swedish House Mafia Feat. Tinie Tempah – Miami 2 Ibiza 65.Blackpink – Jump (Valeriy Smile Remix) 66.Kiesza – Hideaway (Eddie G & Malyx Remix) 67.Twocolors – Heavy Metal Love 68.Ava Max – Don't Click Play 69.Atb & Dopamine – Don't Stop I Wanna Know 70.Argy & Omiki – Wind 71.Moti, Amero, Hallasen – The Good, The Bad And The Ugly 72.12 Cassian, Yotto, Da Hool – Love Parade 73.Alesso, Becky Hill – Surrender (Ayden Loyde Remix) 74.DJ Nejtrino, DJ Peretse, Dima Kaminski – Feel 75.Max Oazo – Gimme! Gimme! Gimme! 76.Lost Frequencies, Elley Duhe & X Ambassadors – Back To You 77.Alok Feat. Jess Glynne – Summer's Back
What happens when you drop an LLM on top of five ERPs and a decade of M&A? Aaron Sheehan and analyst Heather Hershey map the practical path: B2B use cases that work, risks that don't, and why chunk-by-chunk modernization beats “robot, take the wheel.”Highlights01:06 – Welcome back and introducing Heather Hershey03:35 – Defining AI, LLMs, and RAG 09:30 – Why probabilistic AI makes ops teams nervous 11:58 – Is LLM an overkill compared to ‘boring' machine learning and rule-based systems?15:19 – The real blocker: fragmented data across ERPs and other systems19:40 – The strangler pattern: modernize in chunks instead of ripping everything out21:13 – Why commerce platforms become the orchestration layer for AI/NLP24:37 – If you had $100K for AI: where to spend it 27:27 – Prisoner's dilemma: agentic shopping and the disintermediation trap34:53 – Agentic commerce predictions for B2B 40:30 – Are people replacing Google with LLMs?
Wes and Scott answer your questions about AI agents, learning to code with AI, pagination patterns, skilling up from outdated tech stacks, balancing side projects with family life, real-world hacking attempts, and more! Show Notes 00:00 Welcome to Syntax! 01:39 Are devs really running multiple AI agents at once? Scott's Tweet 09:41 Brought to you by Sentry.io 12:45 What is pagination and why do websites use it? 18:17 Should beginners use AI while learning to code? 30:24 The real-world skills CS degrees don't teach you 35:59 Someone tried to hack Syntax 38:12 How Wes and Scott became co-hosts 42:00 Moving from junior to mid-level when your skills are outdated 45:42 How do you balance time for side projects, life, and family 52:45 Building a ChatGPT-style RAG search for your resume 56:15 Why Chad Whitacre videos were on the Syntax YouTube channel Chad's YouTube Channel 58:44 Sick Picks + Shameless Plugs Sick Picks Scott: Trmnl Wes: RYOBI Soldering Iron Shameless Plugs Syntax YouTube Channel Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads
At 21 years old, Alex Hashash was managing 15 people and 18,000 hours of temporary nurses every single week.By his early thirties, he had 120 staff. Most of them offshore.But it didn't start with a playbook. It started with 3 am phone calls, traumatic Blackberry ringtones, and weekend rotas that never seemed to end.When his company decided to build an offshore capability, Alex didn't manage it from a distance.He moved to India for eight months to build the team from scratch.Night shifts. Culture clashes. Teaching people who'd never worked in recruitment how to fill nursing shifts at 2 am UK time.He's spent over a decade learning what separates the founders who make offshore work from those who give up after six months.Most treat it like a cost-cutting exercise. They hire one remote person, hope for the best, and blame the model when it fails.Alex took the opposite approach."If someone makes a mistake, it's really easy to blame them because they're so far away. But if that was a colleague on your desk, would you be as harsh?"The problem isn't the talent. It's the leadership.This week on The RAG Podcast, Alex tells the full story.We cover:Why most recruitment founders fail at offshore within six months How to build culture when your team is thousands of miles away The biggest mistake UK consultants make when managing offshore staff Why hiring people without recruitment experience often delivers the best ROI How to structure probation and promotional targets for offshore hires The leadership buy-in you need before going offshore How he scaled to 120 staff with the majority based offshoreThis isn't theory. It's a decade of hard-won experience across three continents.If you've ever wondered whether offshore could work for your agency - or why your previous attempt failed - this episode has the blueprint.--------------------------------------------------------------------Episode Sponsor: AtlasAdmin is a massive waste of time. That's why there's Atlas, the AI-first recruitment platform built for modern agencies.It doesn't only track CVs and calls. It remembers everything. Every email, every interview, every conversation. Instantly searchable, always available. And now, it's entering a whole new era.With Atlas 2.0, you can ask anything and it delivers. With Magic Search, you speak and it listens. It finds the right candidates using real conversations, not simply look for keywords.Atlas 2.0 also makes business development easier than ever. With Opportunities, you can track, manage and grow client relationships, powered by generative AI and built right into your workflow.Need insights? Custom dashboards give you total visibility over your pipeline. And that's not theory. Atlas customers have reported up to 41% EBITDA growth and an 85% increase in monthly billings after adopting the platform.No admin. No silos. No lost info. Nothing but faster shortlists, better hires and more time to focus on what actually drives revenue.Atlas is your personal AI partner for modern recruiting.Don't miss the future of recruitment. Get started with Atlas today and unlock your exclusive RAG listener offer at https://recruitwithatlas.com/therag/--------------------------------------------------------------------Episode Sponsor: HoxoEvery recruitment founder is investing in LinkedIn.Spending thousands on Recruiter licences.Building connections. Posting content. Growing networks.But here's the question almost no one can answer:How much revenue is LinkedIn actually bringing into your business?Most founders have thousands of connections but no clear process to turn that attention into cash.That's the problem we solve.At Hoxo, we help recruitment founders build predictable revenue...
In this episode of Pathmonk Presents, we welcome Ken Herron, Chief Growth Officer at UIB, an API AI company revolutionizing human-machine communication. Ken discusses UIB's mission to simplify interactions between people and AI across various channels and languages. He delves into the challenges of communicating at scale and how UIB's solutions, including conversational AI and retrieval augmented generation (RAG), address these issues. Ken shares insights on UIB's client acquisition strategies, the importance of interactive demos, and his role in understanding customer needs. Listeners will gain valuable knowledge about the latest AI communication technologies and their practical applications in business.
Get your MGM Slam tickets here! https://bit.ly/mgmslam2026The 4.5/5.0 Challenge trailer is now live on our Instagram! Full challenge releasing on YouTube on Wednesday the 11th! https://www.instagram.com/nothingmajorshow/Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code NOTHINGMAJOR at https://www.rag-bone.com #ragandbonepodUpgrade your sleep with Miracle Made! Go to https://trymiracle.com/NOTHINGMAJOR and use the code NOTHINGMAJOR to claim your FREE 3 PIECE TOWEL SET and SAVE over 40% OFF.On this Monday episode of Nothing Major, debuting a new segmented format, Sam, John, and Stevie break down last week's winners, preview the tournaments kicking off today, and lock in their picks for who they expect to have a big week. They also share an update on the unofficial sponsored players from the Wildcard Wheel.Plus, they cover all the latest news from around the tour, including revealing which player Carlos Alcaraz was a massive fan of growing up.Get your MGM Slam tickets here! https://bit.ly/mgmslam2026The 4.5/5.0 Challenge trailer is now live on our Instagram! Full challenge releasing on YouTube on Wednesday the 11th! https://www.instagram.com/nothingmajorshow/Write into us if you are interested in our Matchmaking segment! https://www.nothingmajorshow.com/Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code NOTHINGMAJOR at https://www.rag-bone.com #ragandbonepodUpgrade your sleep with Miracle Made! Go to https://trymiracle.com/NOTHINGMAJOR and use the code NOTHINGMAJOR to claim your FREE 3 PIECE TOWEL SET and SAVE over 40% OFF.On this Monday episode of Nothing Major, debuting a new segmented format, Sam, John, and Stevie break down last week's winners, preview the tournaments kicking off today, and lock in their picks for who they expect to have a big week. They also share an update on the unofficial sponsored players from the Wildcard Wheel!Plus, they cover all the latest news from around the tour, including revealing which player Carlos Alcaraz was a massive fan of growing up.00:00:00 Welcome, format, and announcements00:01:44 Winners Circle: Davis Cup highlights00:04:02 Winners Circle: ATP/WTA results00:06:33 Nothing Major News00:18:29 Wildcard Wheels update00:19:28 Major Opinions: Stats, servebot, debate00:19:42 Stevie Stats00:21:13 Servebot of the Week00:21:30 Sam's Query: Would Novak have 30 slams?00:29:36 Transition Game: Week preview and picks00:29:36 Dallas Open preview and field00:30:42 Rotterdam 500 preview, key matches00:31:21 Buenos Aires, WTA Doha 100000:31:59 Locks of the week begin00:33:15 Long shots of the week00:34:04 Jaume Munar name debate00:34:23 Outro and subscribe reminders
In this episode of Resilient Cyber, I sit down with VP, Product Marketing and Strategy for Protegrity, James Rice. We will be discussing how traditional approaches to security aren't solving the AI security challenge, the importance of data-centric approaches for secure AI implementation and addressing issues such as AI data leakage.James and I dove into a lot of great topics, including:Why traditional perimeter-based and infrastructure-centric security models are failing in the era of AI, and why organizations need to fundamentally rethink their approach to securing AI workloads.The concept of data-centric security — protecting the data itself rather than the systems surrounding it — and why this shift is critical as data flows across cloud platforms, AI models, and agentic workflows.The growing risk of AI data leakage and how sensitive information (PII, PHI, PCI, intellectual property) can inadvertently be exposed through AI training data, model outputs, prompt injection, and RAG pipelines.Why many organizations find themselves stuck in an "AI circularity" — wanting to leverage AI but unable to do so because of the complexity of securing critical business data throughout the AI lifecycle.The importance of embedding security controls inline within the AI pipeline — from data ingestion and model training to orchestration and output — rather than bolting security on after the fact.How data protection techniques such as tokenization, anonymization, dynamic masking, and format-preserving encryption can enable organizations to use realistic, context-rich data for AI while maintaining compliance and reducing risk.The challenge of securing agentic AI workflows, where autonomous agents continuously interact with enterprise data, making traditional access control models insufficient.How organizations can balance the need for AI innovation and data utility with regulatory compliance requirements across frameworks like GDPR, HIPAA, PCI DSS, and emerging AI-specific regulations.James's perspective on how security, risk, and compliance functions need to evolve to keep pace with the rapid productionization of AI across the enterprise.The role of semantic guardrails in governing AI inputs and outputs, ensuring that protection is applied contextually based on how data is being used — not just where it resides.About the GuestJames Rice is VP of Product Marketing and Strategy at Protegrity, a global leader in data-centric security. He brings over 20 years of experience in security, risk, and compliance, having provided solution engineering, value engineering, and implementation services to Fortune 1000 organizations across industries. Prior to Protegrity, James held leadership roles at Pathlock (formerly Greenlight Technologies), Accenture, and PricewaterhouseCoopers.About ProtegrityProtegrity is a data-centric security platform that protects sensitive data across hybrid, multi-cloud, and AI environments. Their approach embeds security directly into the data itself — enabling enterprises to unlock insights, accelerate innovation, and meet global compliance with confidence. Protegrity's solutions include data discovery and classification, tokenization, anonymization, dynamic masking, and semantic guardrails for AI and analytics workflows.Learn more at protegrity.com
" Tracklist: 1 Kanu - Moonlight (XXX) 2 Bob Sinclar x Semana - Rock This Party (Jayworx Final Boot Mix) 3 Michael Gray x Darryl Pandy - Weekend Can´t Turn Around Bolinger Super Edit 4 Madonna - Frozen (Matt Moss Dub) 5 Eurythmics- SWEET DREAMS - BOHEMIAN Afroboot 6 Moby, DeepDelic & Zigrov Remix - Moby - Lift Me Up - (DeepDelic & Zigrov Remix) 7 The Police - Roxanne (Fernan Dust Deep Remix) 8 Crystal Waters - Baby Come Home (Dub) 9 Caboo - In My Feelings (Extended Mix) 10 ManyFew - The One For Me (Extended Mix) 11 Chris Isaak - Wicked Game (Jerome Robins Remix) 12 Depeche Mode - Enjoy the Silence (Martin Magal Remix) 13 Don Paolo - Caruso (Tribute to LUCIO DALLA) 14 thinkingaview - Gimme What I Want 15 Rikky Disco - Expectations( Dj Burgerhead Remix) 16 Rag'n'Bone Man - Human (ZANS & CØRTEZ EDIT) 17 Swedish House Mafia ft. Pharrell - One (Bittermind Remix) [Extended] 18 MORTEN vs. Sebastian Ingrosso, Tommy Trash & John Martin - Reload the Drill (Brent Betit Edit) "
Blitzy founders Brian and Sid break down how their “infinite code context” system lets AI autonomously complete over 80% of major enterprise software projects in days. They dive into their dynamic agent architecture, how they choose and cross-check different models, and why they prioritize advances in AI memory over fine-tuning. The conversation also covers their 20¢/line pricing model, the path to 99%+ autonomous project completion, and what this all means for the future software engineering job market. Sponsors: Blitzy: Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive CHAPTERS: (00:00) About the Episode (03:02) AGI effects without AGI (07:07) Domain-specific context engineering (16:54) Dynamic harness and evals (Part 1) (17:00) Sponsors: Blitzy | Tasklet (20:00) Dynamic harness and evals (Part 2) (30:42) Graphs, RAG, and memory (Part 1) (30:49) Sponsor: Serval (32:26) Graphs, RAG, and memory (Part 2) (41:17) Model zoo and memory (50:07) Planning, scaling, and parallelism (56:13) Pricing, onboarding, and autonomy (01:04:24) Closing the last 20% (01:12:34) Strange behaviors and judges (01:22:23) Reasoning budgets and autonomy (01:33:36) Fine-tuning, benchmarks, and training (01:42:31) Securing AI-generated code (01:49:52) Future of software work (01:57:05) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk
Send us a textPrasad Calyam, Curators' Distinguished Professor and Center Director at the University of Missouri, joins the show to explore how knowledge graphs, modern data platforms, and AI are reshaping power grids and cybersecurity. He breaks down graph database fundamentals, real-world research projects, and how industry can tap into cutting-edge university work—all in language that engineers, data folks, and developers can put to use.Timestamps 01:30 Meet Prasad Calyam 02:57 Why Higher Education? 05:22 Data Analytics 06:59 The Modern Power Grid 09:40 Graph DB Fundamentals 12:21 Cybersecurity via Graphs and RAG 13:45 Research Projects 14:38 Industry Leveraging University Research 16:07 Advice for Students 17:16 What's Fun for ProfessorsLinks LinkedIn: linkedin.com/in/prasadcalyam Website: http://www.missouri.edu#KnowledgeGraphs #GraphDatabase #RAG #Cybersecurity #PowerGrid #DataEngineering #AI #MLOps #TechPodcast #Developers #ResearchToProduction #UniversityResearchWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
Send us a textPrasad Calyam, Curators' Distinguished Professor and Center Director at the University of Missouri, joins the show to explore how knowledge graphs, modern data platforms, and AI are reshaping power grids and cybersecurity. He breaks down graph database fundamentals, real-world research projects, and how industry can tap into cutting-edge university work—all in language that engineers, data folks, and developers can put to use.Timestamps 01:30 Meet Prasad Calyam 02:57 Why Higher Education? 05:22 Data Analytics 06:59 The Modern Power Grid 09:40 Graph DB Fundamentals 12:21 Cybersecurity via Graphs and RAG 13:45 Research Projects 14:38 Industry Leveraging University Research 16:07 Advice for Students 17:16 What's Fun for ProfessorsLinks LinkedIn: linkedin.com/in/prasadcalyam Website: http://www.missouri.edu#KnowledgeGraphs #GraphDatabase #RAG #Cybersecurity #PowerGrid #DataEngineering #AI #MLOps #TechPodcast #Developers #ResearchToProduction #UniversityResearchWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
On a tous déjà vu ça avec les intelligences artificielles : plus le texte est long, plus le modèle perd le fil. Au bout de quelques milliers de mots, la mémoire sature, le contexte se brouille, et les réponses deviennent approximatives. Pour les chercheurs du MIT, c'est un vrai plafond de verre. Leur solution tient en trois lettres : RLM, pour Recursive Language Model. L'idée est simple mais maligne. Plutôt que de charger un document entier dans la mémoire du modèle — ce qui l'étouffe — le texte reste stocké à l'extérieur. Le système ne transmet au modèle que les fragments utiles, au fur et à mesure. Un peu comme si l'IA feuilletait un énorme classeur au lieu d'essayer de tout mémoriser d'un coup.Concrètement, le RLM reçoit d'abord une vue d'ensemble : nombre de sections, taille du document, structure générale. Ensuite, il génère du code pour aller chercher précisément les passages pertinents, les analyser un par un, puis assembler la réponse finale. Résultat : il garde le contexte global sans nécessiter de réentraînement. Les tests sont parlants. Sur des documents gigantesques, entre 6 et 11 millions de jetons, le RLM basé sur GPT-5 a extrait correctement 91 % des réponses attendues sur le benchmark BrowseComp-Plus. Le modèle standard, lui, n'a rien retrouvé. Sur des tâches de raisonnement complexe, il passe de presque zéro à 58 % de bonnes réponses. Et pour l'analyse de code, les performances doublent, de 24 % à 62 %.Le système repose sur deux briques : un « modèle racine », chargé de planifier et d'orchestrer la recherche, et un « modèle travailleur », plus léger, qui traite chaque extrait. Alex Zhang, co-auteur au MIT CSAIL, compare ça à un programmeur qui ouvre un énorme fichier morceau par morceau pour éviter de faire planter son ordinateur. Compatible avec des techniques comme le RAG, le RLM peut s'intégrer sans changer l'interface habituelle. Et bonne nouvelle : le code est déjà disponible sur GitHub.GithubÉtude d'Alex Zhang Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
In this podcast episode, Shiv is in conversation with Bhargav Bhikkaji, a tech leader, entrepreneur, and founder-CTO of MajorDomo Inc with deep expertise in cloud and Gen-AI driven enterprise software. In this episode of Software People Stories, Bhargav shares his inspiring journey from his early interest in physics and mathematics to becoming a DevOps pioneer. Initially focused on engineering and computer networking, Bhargav's career path led him through various roles at HCL Cisco and Dell before transitioning to an entrepreneurial venture. He describes the challenges of moving back to India, starting a consulting business, and eventually founding a company that focuses on DevOps and AI deployment solutions. Bhargav emphasizes the importance of understanding customer needs, continuous learning, and staying grounded through personal practices like long-distance running. 00:00 Introduction and Welcome00:31 Early Interests and Education03:13 First Steps in Networking04:21 Career Growth and Innovations05:13 Transition to DevOps and Kubernetes07:23 Starting a Consulting Business10:27 Challenges and Strategies in Networking18:08 Patents and Open Source Debate26:36 Navigating the Transition from Technical Expert to Entrepreneur27:42 Understanding Customer Needs in Product Development29:45 Balancing Immediate Customer Demands with Long-Term Solutions32:10 Managing Multiple Roles in a Startup33:49 The Importance of Customer Conversations and Product Market Fit34:36 Challenges in Developing Developer Tools37:42 Articulating the Value Proposition of Major Domo40:41 Handling Rollbacks and Ensuring Transaction Integrity46:52 Keeping Pace with Rapid Technological Changes49:00 Staying Grounded Amidst the Chaos50:57 Conclusion and Final ThoughtsThe timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section.Bhargav Bhikkaji is a tech leader, entrepreneur, and founder-CTO of MajorDomo Inc with deep expertise in cloud and Gen-AI driven enterprise software. As the Founder, Bhargav leads the development of platform solutions that simplify and automate complex cloud-native and Gen-AI operations. He is passionate about bridging the gap between cutting-edge technologies and real-world outcomes, sharing insights on GenAI, RAG, LLMOps, enterprise AI, and governance through talks, articles, and video series. Bhargav's work blends engineering excellence with strategic thinking, helping teams adopt scalable, secure, and cost-effective cloud and AI solutions. Outside work, Bhargav enjoys endurance running and often reflects on resilience and growth—bringing the same mindset to tech and leadership that he applies in life's challengesOne can reach out to Bhargav Bhikkaji at https://www.linkedin.com/in/bhargav-bhikkaji and http://x.com/bbhikkaji
SPONSORS: 1) RAG & BONE: Upgrade your denim game with Rag & Bone—get 20% off sitewide with code JULIAN at www.rag-bone.com #ragandbonepod 2) JUVENON: Take care of your heart – Visit https://bloodflow7.com/JULIAN and Get 30% OFF BloodFlow-7 today. JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey (***TIMESTAMPS in description below) ~ George Christie Jr. is an American author and former outlaw biker who served as president of the Ventura, California charter of the Hells Angels Motorcycle Club between 1978 and 2011. He is the longest-serving charter president in the club's history. Christie was also a national spokesman for the Hells Angels. GEORGE's LINKS: X: https://x.com/georgeFPC FB: https://www.facebook.com/p/George-Christie-100063588966258/ WEBSITE: https://www.georgechristie.com/ FOLLOW JULIAN DOREY INSTAGRAM (Podcast): https://www.instagram.com/juliandoreypodcast/ INSTAGRAM (Personal): https://www.instagram.com/julianddorey/ X: https://twitter.com/julianddorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 – Intro 01:26 – Federal surveillance, informants, firebombing allegation, shock plea deal 11:58 – Prison gangs, street taxes, FBI recordings, murder-for-hire case 23:27 – Poverty, outlaw influence, power, money as protection, mother testifies 36:05 – “Bad but loved,” Greek grandfather, discipline, Marines decision 46:48 – Cheating accusation, leaving polite society, parallels to plea deals 56:43 – Hells Angels ties, Altamont, cultural shift, doors opening 01:06:03 –George's Top Secret DoD job, Cold War surveillance, outlaw identity 01:16:00 – ATF infiltrators, informants, outlaw vs criminal philosophy 01:25:07 – Entrapment plot, bugged meetings, war vs restraint 01:37:10 – Taco Bowman hit, prison call, biker violence vs idealism 01:46:31 – Walking in alone, biker roots, quitting the club, banishment 01:55:53 – Media strategy, 60 Minutes ambush, trademark fight, patch moment 02:07:45 – Joining vow, Satans Slaves Party, armory setup, charges collapse 02:16:24 – Hunter S. Thompson, book tone shift, media backlash 02:25:37 – Betrayals, club wars, decline, assassination attempts 02:37:11 – Fatherhood conflict, intimidation tactics, patch taken 02:47:09 – Taser incident, FBI wedding irony, Ventura launch, Mueller 02:57:52 – Jaywalking case, Olympic torch, media spectacle 03:07:55 – Grenade attack, ATF coverup, CIA NOC allegation 03:19:07 – Nordic peace talks, visas, truce, post-club life reset 03:33:21 – George's Work CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef - https://www.instagram.com/joeydeef/ Julian Dorey Podcast Episode 378 - George Christie Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices
Doctronic became the first AI in the world legally licensed to practice medicine through Utah's AI Learning Lab regulatory sandbox in December 2025. In this episode of BUILDERS, I sat down with Matt Pavelle, Co-founder and Co-CEO of Doctronic, to learn how he and his co-founder (a physician) launched an AI-powered primary care chatbot in September 2023, validated demand through Facebook chronic condition groups and minimal Google Ads spend, and navigated uncharted regulatory territory to offer $4 prescription renewals for chronic conditions—targeting the medication non-adherence problem that causes 125,000 preventable deaths and costs $100B annually. Topics Discussed: Why friends with excellent health insurance still couldn't get medical answers quickly Building clinical accuracy into GPT-3.5 when context windows were small and hallucinations were rampant The tactical launch: Google Ads plus Facebook chronic condition groups in September 2023 Architecting safety: RAG with tens of thousands of physician-written clinical guidelines The study: 99.2% agreement rate between AI treatment plans and human doctor reviews across 500 patients Navigating Utah's AI Learning Lab: the only regulatory sandbox that mitigated medical licensing laws Securing AI malpractice insurance through Lloyd's Market—a first in the industry The three-phase oversight model: 100% human review, then 10%, then spot checks Expansion strategy: targeting other state regulatory sandboxes and international governments GTM Lessons For B2B Founders: Launch with the minimum feature set that proves your core hypothesis: Pavelle shipped Doctronic in September 2023 without user accounts—chats disappeared when closed unless users saved them manually. Within days, user requests for persistent chat history validated demand. The insight: your MVP should test one assumption, not solve every user need. If you're hesitating to launch because features are missing, ask whether those features are actually required to validate your hypothesis or just things you assume users want. Use specificity to unlock early adoption in skeptical markets: Rather than targeting "healthcare" broadly, Pavelle posted in Facebook groups for specific chronic conditions, offering a free AI backed by clinical guidelines. Half the groups banned them for commercial activity, but the other half engaged immediately. The lesson: in regulated or skeptical markets, narrow targeting with explicit safety mechanisms (clinical guidelines, physician co-founder credibility) converts better than broad positioning. Identify where your skeptics congregate and address their specific objections upfront. Design system architecture to prevent failure modes, not just tune models: Doctronic's safety architecture separates AI decision-making from prescription execution. The LLM asks questions and determines renewal safety, but deterministic code outside the AI verifies the prescription exists, checks dosage accuracy, and confirms the schedule. Even if adversarial prompting compromises the LLM, the deterministic layer prevents bad outcomes. Founders building high-stakes AI products should architect multiple independent verification layers rather than relying on prompt engineering or temperature tuning alone. Target regulatory pain points with quantified deaths and costs: Pavelle approached Utah with specific numbers: 125,000 preventable deaths annually from medication non-adherence, 30-40% caused by renewal friction, and a $100B economic burden. These statistics—combined with Utah's rural population and physician shortage—made the problem impossible to ignore. When approaching regulators, lead with mortality and cost data that make inaction untenable, not just efficiency gains or convenience improvements. Regulatory sandboxes require proof of safety methodology, not just technology demos: Utah's AI Learning Lab didn't just grant Doctronic permission—they required a three-phase oversight structure where human physicians review 100% of initial prescriptions in each medication class, then 10%, then ongoing spot checks. Pavelle also secured AI malpractice insurance through Lloyd's Market before launch. The insight: regulatory innovation offices want risk mitigation frameworks, not promises. Build and fund your oversight methodology before approaching regulators, and treat insurance underwriting as a third-party validation of your safety claims. Publish clinical validation studies before scaling—they become your regulatory and sales asset: The study showing 99.2% agreement between Doctronic's AI and human physicians across 500 patient encounters became the foundation for regulatory conversations and public trust. Founders in regulated spaces should budget for formal validation studies early—these aren't marketing expenses, they're the permission structure for everything that follows. Work backward from what regulators and enterprise buyers need to see, then design studies that generate that specific evidence. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
In this episode of the Eye on AI Podcast, Craig Smith sits down with Steve Brown, founder of CureWise, to explore how agentic AI is reshaping healthcare from the patient's perspective. Steve shares the deeply personal story behind CureWise, born out of his own experience with a rare cancer diagnosis that was repeatedly missed by traditional medical pathways. The conversation dives into why modern healthcare struggles with complex, edge-case conditions, how fragmented medical data and time-constrained systems fail patients, and where AI can meaningfully help without replacing clinicians. The discussion goes deep into multi-agent AI systems, reliability through consensus, large context windows, and how AI can surface better questions rather than premature answers. Steve explains why patient education is the real unlock for better outcomes, how precision medicine depends on individualized data and genetics, and why empowering patients leads to stronger collaboration with doctors. This episode offers a grounded, practical look at AI's role in healthcare, not as a diagnostic shortcut, but as a tool for clarity, context, and better decision-making in some of the most critical moments of car Stay Updated: Craig Smith on X: https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (00:00) Using Multi-Agent AI to Analyze Medical Records (04:35) Steve Brown's Tech Background and Return to Healthcare (08:25) How a Rare Cancer Diagnosis Was Initially Missed (13:55) Why Modern Medicine Struggles With Complex Cases (18:29) Multi-Agent Consensus and AI Reliability in Healthcare (24:12) Large Context Windows, RAG, and Medical Data Organization (28:24) Why CureWise Focuses on Patient Education, Not Diagnosis (33:10) Precision Medicine, Genetics, and Personalized Treatment (47:45) Why CureWise Launches Direct-to-Patient First (53:19) The Future of AI-Driven Precision Medicine
Whether you're a construction professional, tech enthusiast, or just curious about the future of work, this episode is packed with insights, philosophy, and practical advice. This show was filmed live from LCI Congress 2025. Tom Feliz, DataGrid's Head of Growth, breaks down how construction professionals can practically apply AI to eliminate waste, improve productivity, and get home by 5 PM. Discover why AI won't take your job—but someone using AI might—and learn actionable first steps to leverage AI agents, visual language models, and automation in your daily construction workflows.
Stuart Mitchell: How he built $3M in 3 years (then realised he hated his own job)Stuart Mitchell launched Hampton North in September 2022.$1.6 million year one. $2.5 million year two. On track for $3 million plus in year three.Now 10 staff and projects $1m profit for next year.I interviewed him on the show in the middle of 2023, and things were flying.But over the following 18 months, he nearly broke.His dad died. His wife fell pregnant. And the VP he'd promised her-the guy who was supposed to take the pressure off-pulled out in January."I had to go home to my newly pregnant wife and have a really hard conversation."For 6 months, Stuart ground it out alone. High expectations, low empathy. The worst version of himself.Then at a wedding, his old running mate Greg Anderson said: "I think we should do this again."Greg joined in June and immediately told Stuart the truth: "There is nothing here. No process. Nothing written down. You're making it impossible for anyone who joins to actually do well."This week on The RAG Podcast, Stuart tells the full story.We cover:Launching just before the 2023 downturn and hitting $1.6M in the first yearLosing his dad and how it derailed him for two monthsThe VP hire that fell through one week after his wife fell pregnantWhy he admits "I had my own company and I didn't like my job"How one hire professionalised a business built entirely on talentBuilding a $3M agency with 10 people (and why he'll never scale past 25)Why he takes profit first and doesn't care about a big exitThe role this LinkedIn profile and brand played in attracting top-tier talentThis isn't about sacrifice for success.It's about a founder who built a multi-7-figure business, then redesigned it so he could pick his kids up from school.If you've ever wondered whether you can have both profit and peace, this episode is the proof you need!__________________________________________Episode Sponsor: AtlasAdmin is a massive waste of time. That's why there's Atlas, the AI-first recruitment platform built for modern agencies.It doesn't only track CVs and calls. It remembers everything. Every email, every interview, every conversation. Instantly searchable, always available. And now, it's entering a whole new era.With Atlas 2.0, you can ask anything and it delivers. With Magic Search, you speak and it listens. It finds the right candidates using real conversations, not simply look for keywords.Atlas 2.0 also makes business development easier than ever. With Opportunities, you can track, manage and grow client relationships, powered by generative AI and built right into your workflow.Need insights? Custom dashboards give you total visibility over your pipeline. And that's not theory. Atlas customers have reported up to 41% EBITDA growth and an 85% increase in monthly billings after adopting the platform.No admin. No silos. No lost info. Nothing but faster shortlists, better hires and more time to focus on what actually drives revenue.Atlas is your personal AI partner for modern recruiting.Don't miss the future of recruitment. Get started with Atlas today and unlock your exclusive RAG listener...
MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Billy Howell (https://x.com/billyjhowell)! I'm so stoked to have Billy Howell back on the show! Billy is a prolific entrepreneur who has built over 60 apps with AI despite having no traditional tech background. His agency, Stupid Simple Apps, helps other entrepreneurs build their own custom AI apps.This episode, I challenged Billy to teach me how to build a chatbot specifically for my podcast, so I can easily query my extensive archive of 200 transcripts. We also dive into practical small business use cases for chatbots, from HR and onboarding to sales processes and internal SOPs.You'll hear us discuss the challenges of managing large data sets and context windows, exploring solutions like OpenAI's embeddings (also known as RAG) and document summarization. I even share a Google Apps Script I built to summarize my transcripts into a spreadsheet database, which we then use as the foundation for our chatbot.Enjoy the conversation!Questions This Episode Answers:• How can a small business use AI chatbots for internal processes?• What's a cost-effective way to build a custom AI chatbot?• How do you handle large data sets, like 200 podcast transcripts, for an AI chatbot's context?• What's a PRD and how does AI use it to build an app in minutes?• How can you manage AI API costs and avoid unexpected token spikes?__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Building Apps with AI: A New Era03:01 Chatbots: Revolutionizing Business Communication05:50 Optimizing Context for AI Chatbots09:11 Creating a Podcast Database for AI Interaction12:09 Developing a Web App: Step by Step15:03 Debugging and Enhancing the App Experience17:52 Exploring AI's Role in Everyday Tasks20:50 Managing Costs in AI Development24:10 Finalizing the Podcast Q&A App26:54 The Future of AI in Gaming and Learning
SPONSORS:Lucy- Get 20% off your first order when you buy online with code HONEYDEW at lucy.coRag & Bones-Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code HONEYDEW at www.rag-bone.comMy HoneyDew this week is musician Richard Marx! Check out Richard's new album After Hours, out now where you stream music. Richard joins me this week to Highlight the Lowlights of his journey in the music industry! We touch on what it was like to come up in music, to then watch your kids grow up and follow the same path into the family business. Richard opens up about the loss of his father, the final words he left him with, and the change it sparked in his own life. We also get into how Richard handles his life long struggle with depression, and the role that creating and performing music plays in helping him navigate it.
SHOW: 992SHOW TRANSCRIPT: The Cloudcast #992 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SHOW NOTES:Tonic.ai websiteTonic Validate Product PageTonic Validate GitHubTopic 1 - Adam, welcome to the show. Give everyone a brief introduction.Topic 2: Our topic today is RAG systems, specifically RAG in production. Let's start with customization sources and types. When it comes to customizing off-the-shelf LLMs, RAG is one option, as is an MCP connection to a SQL database, and there is pre- and post-training, as well as fine-tuning. How does an organization decide what path is best for customization?Topic 3 - RAG came on the scene as the savior for organizations that want to use customer AI without the need for fine-tuning and additional training. It has either gone through or is currently still in the trough of disillusionment. What are your thoughts on RAG's evolution and the challenges it faces?Topic 4 - Let's walk through the basics of validation. Once you set up RAG, how would an organization know it works? How is accuracy measured and validated? Are you looking for hallucinations? Context quality?Topic 5 - What is Tonic Validate, and where does it fit into this stack? Is it in band? Out of band? Built into the CI workflow?Topic 6 - Accuracy is one aspect, but we hear more and more about ROI for Enterprises. How should ROI, risk, and compliance be measured?Topic 7 - Where and how does security fit into all of this? Also, your thoughts on synthetic data for training vs. real data?Topic 8 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Baris Gultekin, VP of AI at Snowflake, explains how “bringing AI to the data” is reshaping enterprise AI deployment under strict security and governance requirements. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. He shares the importance of bringing AI directly to governed enterprise data, advances in text-to-SQL and semantic modeling, and why high-quality retrieval is foundational for trustworthy AI agents. Baris also dives into Snowflake's approach to agentic AI, including Snowflake Intelligence, model choice and cost tradeoffs, and why governance, security, and open standards are essential as AI becomes accessible to every business user. LINKS: AWS' Automated Reasoning checks Sponsors: MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive MATS: MATS is a fully funded 12-week research program pairing rising talent with top mentors in AI alignment, interpretability, security, and governance. Apply for the next cohort at https://matsprogram.org/s26-tcr Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (03:02) Snowflake 101 and AI (09:25) Text-to-SQL and semantics (19:10) RAG, embeddings and models (Part 1) (19:17) Sponsors: MongoDB | Serval (21:02) RAG, embeddings and models (Part 2) (32:23) Bringing models to data (Part 1) (32:29) Sponsors: MATS | Tasklet (35:29) Bringing models to data (Part 2) (51:14) Designing enterprise AI agents (58:35) Trust, governance and guardrails (01:07:14) Agents and future work (01:15:33) Platforms, competition and value (01:26:04) Enterprise models and outlook (01:40:00) Outro PRODUCED BY: https://aipodcast.ing
David Schatz talks about his discovery of Rag genes that are critical for antigen receptor development and how that discovery depended on taking high risks and using approaches that everyone thought could never work. Host: Cindy Leifer Guest: David Schatz Subscribe (free): Apple Podcasts, RSS, email Become a patron of Immune! Links for this episode MicrobeTV Discord Server Transfer of recombinase activity in non-lymphoid cells (Cell 1988) Identification of the RAG-1 gene (Cell 1989) Evolution of a recombinase (Semin Immunol 2004) Time stamps by Jolene Ramsey. Thanks! Music by Tatami. Logo image by Blausen Medical Send your immunology questions and comments to immune@microbe.tv Information on this podcast should not be construed as medical advice.
The guys kick things off with some rapid-fire news, including Tsitsipas' outfit in Adelaide, the Sinner vs. Alcaraz exhibition, and Milos Raonic's retirement.They then break down the recent tournaments in Brisbane, Hong Kong, and the United Cup, along with a quick recap of the Battle of the Sexes. To close things out, they spin a Wheel featuring players ranked 40–100 to decide which player they're unofficially sponsoring for the year.Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code [NOTHINGMAJOR] at www.rag-bone.com #ragandbonepod00:00 Introduction and Episode Overview01:12 Sam in New Zealand03:09 Fashion Critique and Red Carpet Highlights05:37 Sinner Alcaraz exhibition07:39 Milos Raonic's Retirement09:46 United Cup Recap a13:15 Brisbane Tournament Results15:06 Medvedev's Unique Winning Streak17:16 Aesthetically Pleasing Tennis Games20:48 Hong Kong Tournament Results24:15 Battle of the Sexes Debate26:11 Curious Case of Wild Cards27:17 Retirement Tours and Wild Cards29:42 Wheel of Fate 37:11 Future Segment Ideas
Most organizations are sitting on mountains of documents, PDFs, emails, and images they still cannot fully search, organize, or understand.In this episode of IT Visionaries, host Chris Brandt sits down with Tim McIntire, CTO of Hyland, to unpack why unstructured data is still one of the biggest blockers between AI hype and real results. Tim breaks down why so many companies struggle to access the content they already have and what it really takes to make that information usable, trustworthy, and valuable.From building content that is ready for AI to unlocking new context-aware agents and improving governance and transparency, Tim explains how leading organizations are finally turning everyday content into real business impact and why the future of enterprise AI starts with cleaning up what is already in the basement. Key Moments:02:36 - What Hyland Actually Does04:18 - Why 80% of Enterprise Data Is Unusable06:46 - From 30,000 Manual Indexes to Automation07:47 - Vectorization: Making Documents AI-Ready09:45 - The ROI of Eliminating Mundane Work10:55 - AI vs RPA: Why Intelligence Changes Everything13:23 - Federate Don't Migrate: Meeting Customers Where They Are16:29 - Governance Can't Be an Afterthought18:11 - The Explainability Breakthrough20:10 - Day 1 to Day 90: Faster Time to Value22:56 - Enterprise Agent Mesh Explained24:06 - Context Engineering: The New AI Superpower26:36 - Confidence Scores: When Humans Step In28:12 - Right Model for the Right Job31:00 - The 18-Month Prediction: Agents Everywhere -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
I'm joined today by fan favorite author Lee Morgan to discuss his newest work, The Rag and Bone Man. This book has a 'head, heart, and hands' component that looks at the Victorian Age and Spiritualism and its relationship with witchcraft, from a research angle, from a creative writing angle, and finally from a practical grimoire one.Rag & Bone Man by Lee MorganWho comes meandering along your street in the dawn hours. He's looking for old things that still have a bit of fat left in them, including off-cuts of the dreams of outsiders. If you decide to stop and talk to him, he will tell you the old tales of how to tease out the teeming world of spirits that bulges behind our reality. The Rag & Bone Man's uncanny narrative, bookended with historical context and a grimoire inspired by the novel, bridges the gap between old ideas and new paradigms with a watchful eye focused on historical biases.Find the book and Lee:The Rag & Bone Man: https://www.crossedcrowbooks.com/shop-crossed-crow-books/p/the-rag-bone-man Website: https://www.leemorganbooks.com/Patreon: https://www.patreon.com/c/u19417687
You still using AI to..... write emails?
Thank you to everyone listening to the one and only CAST. Please enjoy a beautiful chunk of our favorite moments of 2025. Can't wait for so so many more laughs with you all. Best fans in the world. Do us a favor and share your favorite moments in the comments below. What was your take on 2025? Follow Sebastian: @SebastianComedy Follow Pete: @PeteCorreale To watch the podcast on YouTube: https://bit.ly/PeteAndSebastianYouTube Don't forget to follow the podcast for free wherever you're listening or by using this link: https://bit.ly/PeteAndSebastian If you like the show, telling a friend about it would be amazing! You can text, email, Tweet, or send this link to a friend: https://bit.ly/PeteAndSebastian For Sebastian's tour dates, go to: https://www.sebastianlive.com/ For Pete's tour dates, go to: https://www.petecorreale.com/ Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code THECAST at https://rag-bone.com #ragandbonepod Sign up for your one-dollar-per-month trial and start selling today at https://shopify.com/thecast Learn more about your ad choices. Visit podcastchoices.com/adchoices
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