Podcasts about Rag

This episode is packed with big-picture energy talk and some seriously nerdy (but fun) data breakdowns. John Kalfayan from collide. and Chuck start with what's really happening in oil and gas today before shifting into the challenges of putting AI to work in the field. From there, things get deep: contract dedications, what RAG actually means, how data chunking works, and the never-ending battle with duplicate info. We also weigh the costs of storage, querying, and running models, plus the tradeoffs between RAG and foundational models. If you've ever wondered about vector databases, data strategy, or just why we have a rant about sand, it's all here. By the end, we hit on the human side too: education, privacy, and making sure the right people can access the right data.Click here to watch a video of this episode.Join the conversation shaping the future of energy.Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.Apply today at collide.ioClick here to view the episode transcript. 00:00 - Intro01:51 - Oil and Gas Industry Insights06:34 - AI Deployment Challenges09:12 - Contract Dedications Explained10:32 - Understanding RAG12:52 - What is RAG in Data Management13:43 - Data Chunking Techniques17:17 - Cost Considerations in Data18:03 - RAG vs Foundational Models19:21 - Vectorized Databases Overview23:47 - Managing Duplicate Data26:28 - Data Strategy Considerations28:24 - Sand Rant31:32 - Identifying Gaps in Data33:10 - The Cost of Storage33:56 - Effective Data Querying35:50 - AI Education and Awareness37:53 - Privacy Concerns with Language Models40:54 - Data Access and Availabilityhttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

What does it take to transform a brilliant AI model from a research paper into a product customers can rely on? We're joined by Elizabeth Lingg, Director of Applied Research at Contextual AI (the team behind RAG), to explore the immense challenge of bridging the gap between the lab and the real world. Drawing on her impressive career at Microsoft, Apple, and in the startup scene, Elizabeth details her journey from academic researcher to an industry leader shipping production AI. Elizabeth shares her expert approach to measuring AI impact, emphasizing the need to correlate "inner loop" metrics like accuracy with "outer loop" metrics like customer satisfaction and the crucial "vibe check." Learn why specialized, grounded AI is essential for the enterprise and how using multiple, diverse metrics is the key to avoiding model bias and sycophancy. She provides a framework for how research and engineering teams can collaborate effectively to turn innovative ideas into robust products. Check out:Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Contextual AI: Contextual.ai WebsiteFollow Contextual AI on Social Media: LinkedIn | X (formerly Twitter)Connect with Elizabeth: LinkedInReferenced in today's show:Throwing AI at Developers Won't Fix Their ProblemsWhy language models hallucinatei ran Claude in a loop for three months, and it created a genz programming language called cursedSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

Episode SummaryBob Remeika, CEO and Co-Founder of Ragie, joins host Danny Allan to demystify Retrieval-Augmented Generation (RAG) and its role in building secure, powerful AI applications. They explore the nuances of RAG, differentiating it from fine-tuning, and discuss how it handles diverse data types while mitigating performance challenges. The conversation also covers the rise of AI agents, security best practices like data segmentation, and the exciting future of AI in amplifying developer productivity.Show NotesIn this episode of The Secure Developer, host Danny Allan is joined by Bob Remeika, co-founder and CEO of Ragie, a company focused on providing a RAG-as-a-Service platform for developers. The conversation dives deep into Retrieval-Augmented Generation (RAG) and its practical applications in the AI world.Bob explains RAG as a method for providing context to large language models (LLMs) that they have not been trained on. This is particularly useful for things like a company's internal data, such as a parental leave policy, that would be unknown to a public model. The discussion differentiates RAG from fine-tuning an LLM, highlighting that RAG doesn't require a training step, making it a simple way to start building an AI application. The conversation also covers the challenges of working with RAG, including the variety of data formats (like text, audio, and video) that need to be processed and the potential for performance slowdowns with large datasets.The episode also explores the most common use cases for RAG-based systems, such as building internal chatbots and creating AI-powered applications for users. Bob addresses critical security concerns, including how to manage authorization and prevent unauthorized access to data using techniques like data segmentation and metadata tagging. The discussion then moves to the concept of "agents," which Bob defines as multi-step, action-oriented AI systems. Bob and Danny discuss how a multi-step approach with agents can help mitigate hallucinations by building in verification steps. Finally, they touch on the future of AI, with Bob expressing excitement about the "super leverage" that AI provides to amplify developer productivity, allowing them to get 10x more done with a smaller team. Bob and Danny both agree that AI isn't going to replace developers, but rather make them more valuable by enabling them to be more productive.LinksRagie - Fully Managed Multimodal RAG-as-a-Service for DevelopersRagie ConnectOpenAIGemini 2.5Claude Sonneto4-miniClaudeClaude OpusCursorSnowflakeSnyk - The Developer Security Company Follow UsOur WebsiteOur LinkedIn

Ethan Smith is the CEO of Graphite—the leading SEO growth agency—and my go-to expert on SEO. After 18 years of mastering traditional SEO, Ethan has been at the forefront of what is called AEO: answer engine optimization, or, more simply, getting your product to show up in ChatGPT/Claude/Gemini/Perplexity answers. He's discovered that ChatGPT traffic converts six times better than Google search—and most companies are completely missing this opportunity.In our conversation, we discuss:1. His 7-step playbook to rank #1 in ChatGPT2. Why ChatGPT traffic converts 6x better than Google3. How early-stage startups can win at AEO immediately (unlike with SEO, which takes years)4. The three tactics that actually work: landing pages, YouTube videos, and Reddit comments5. Why help-center content can suddenly be your highest-ROI investment6. The specific Reddit strategy that works (spoiler: be authentic)7. Why AI-generated content doesn't work—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflowsVanta—Automate compliance. Simplify security.Great Question—Empower everyone to run great research—Where to find Ethan Smith:• Twitter: https://twitter.com/ethan_l_s• LinkedIn: https://bit.ly/ethans-linkedin• Graphite: https://graphite.io/• Graphite Research Papers: https://bit.ly/graphite-five-percent—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Ethan(04:34) The changing landscape of SEO(06:19) AEO (answer engine optimization) vs. GEO (generative engine optimization)(08:13) The impact of AEO(11:51) How early-stage startups can win at AEO(14:34) The quality of AEO leads(15:35) On-site vs. off-site traffic(16:32) Reddit's role in AEO and avoiding spam(20:11) How AI models use citations (RAG)(21:41) Key principles for winning at AEO(25:00) Avoiding hyper-SEOed content, and the importance of originality(28:55) Actionable AEO playbook: steps and experiments(33:35) Tracking, measuring, and share of voice(38:34) Adapting AEO for B2B, commerce, and early-stage companies(41:11) Is letting AI index your content good?(43:06) Experimentation, control groups, and measuring results(46:15) The future of AEO, SEO, and search channels(51:35) AI-generated content: what works and what doesn't(55:25) The dangers of infinite AI derivatives(58:44) The future: convergence of LLMs and search(01:00:40) Help-center optimization and the long tail(01:03:18) Lightning round and final thoughts—Resources and episode mentions: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-aeo-ethan-smith—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

01. Sophie And The Giants, Amice - Shut Up And Dance (Record Mix) 02. Cat Dealers, Lothief, Santti - Sunshine (Record Mix) 03. Kygo, Ava Max, Tiesto - Whatever (Record Mix) 04. Ofenbach - Be Mine (Record Mix) 05. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 06. Kungs - Clap Your Hands (Record Mix) 07. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 08. Axwell, Ingrosso - More Than You Know (Record Mix) 09. Block & Crown, Mike Ferullo - Let the Music Play 10. Thomas Gold - Pump Up The Jam (Record Mix) 11. Gamuel Sori, Lovespeake, Amice - Us (Record Mix) 12. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 13. J Balvin, Willy William, Gonsu, Jenia Smile, Ser Twist - Mi Gente (Record Mix) 14. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 15. Twocolors, Roe Byrne, Amice - Stereo (Record Mix) 16. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 17. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 18. Nicky Romero - All Night Long 19. Robin Schulz, Nervo, Koppy - Freaking You Out (Record Mix) 20. Ownboss, Fafaq - Bacilando 21. Dj Kuba, Neitan, Bounce Inc. - Watch Out (Record Mix) 22. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 23. Rain Radio, Dj Craig Gorman - Talk About (Record Mix) 24. Teriyaki Boyz, Hayat - Tokyo Drift (Record Mix) 25. Modjo - Lady (Hear Me Tonight) (Record Mix) 26. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 27. Kylie Minogue - Lights Camera Action (Record Mix) 28. Atb, Topic, A7S - Your Love (9PM) (Record Mix) 29. Joezi, Lizwi - Amathole (Record Mix) 30. Eelke Kleijn, Joris Voorn - Transmission (Record Mix) 31. Alexander Popov, Whiteout, Vaileri - Need to Feel Loved (Record Mix) 32. Avicii, Dan Tyminski - Hey Brother (Record Mix) 33. Avalan Rokston, Alex Caspian - Something to Believe In (Record Mix) 34. Lost Frequencies, Dimaro - Are You With Me (Record Mix) 35. Marc Korn, Danny Suko, Heart Fx - Every Breath You Take (Record Mix) 36. Roland Clark, Mark Knight, James Hurr - Get Deep 37. Demi Lovato - Fast (Record Mix) 38. Robin Schulz, Francesco Yates - Sugar (Record Mix) 39. Misha Miller, Alexvelea, Bodega - Bam Bam (Record Mix) 40. Lana Del Rey, Kevin Blanc - Young & Beautiful (Record Mix) 41. Arei, Dj Lev - Du Hast (Record Mix) 42. Rompasso, Bedanokov - In the Dark (Record Mix) 43. Doechii, Dj Dark - Anxiety (Record Mix) 44. C-Bool, Giang Pham - DJ Is Your Second Name (Record Mix) 45. Darude, Glazur, Xm - Sandstorm (Record Mix) 46. Joel Corry, Pickle, Vula - Stay Together (Baby Baby) (Record Mix) 47. Don Diablo - The Way I Are (Record Mix) 48. David Guetta - Family Affair (Dance For Me) (Record Mix) 49. One-T, Ywy, Nika - The Way To Love (Record Mix) 50. Anna Naklab, Younotus, Alle Farben - Supergirl (Record Mix) 51. Tinlicker, The Boxer Rebellion - Diamonds (Further Than I Ever Was) 52. Basto! - I Rave You (Record Mix) 53. Bolier, Joe Stone, Voost - Keep This Fire Burning (Record Mix) 54. Tiesto - Red Lights (Record Mix) 55. Argy, Omiki - WIND (Record Mix) 56. Lunax, Mia Amare - Sweet Harmony (Record Mix) 57. Fisher, Flowdan - Boost Up (Record Mix) 58. Ida Corr, Fedde Le Grand - Let Me Think (Record Mix) 59. Twocolors - Heavy Metal Love (Record Mix) 60. Fred Again.., The Blessed Madonna - Marea (Weve Lost Dancing) (Record Mix) 61. Alok, Clementine Douglas - Body Talk (Record Mix) 62. Lufthaus, Sophie Ellis-Bextor - Immortal (Record Mix) 63. Diplo, Maren Morris - 42 (Record Mix) 64. Aria, Na-No - Bleu Chanel (Record Mix) 65. Calvin Harris, Benny Blanco - I Found You (Record Mix) 66. Purple Disco Machine, Kungs - Substitution (Record Mix) 67. Fast Boy, Topic - Forget You (Record Mix) 68. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 69. C Block, The Distance, Riddick - So Strung Out (Record Mix) 70. Crazibiza - Fresh (Record Mix) 71. David Zowie - House Every Weekend (Record Mix) 72. Melsen, Dwight Steven - One More Night 73. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 74. Goodboys, Nu Aspect, Avaion - Blindspot (Record Mix) 75. Dua Lipa, Imanbek - Love Again (Record Mix) 76. Felix, Charlotte Haining, Switch Disco - I Found You (Record Mix) 77. Matt Sassari, Sidepiece - Elektro (Record Mix) 78. Lucas & Steve, Lawrent, Jordan Shaw - End Of Time (Record Mix) 79. Audien, Rory Hope - Lose It All 80. Tiesto, Sneaky Sound System, Wolfgang Gartner - I Will Be Here (Record Mix) 81. Jax Jones, Martin Solveig - All Day & Night (Record Mix) 82. Clean Bandit, Anne-Marie, David Guetta - Cry Baby (Record Mix) 83. Benson Boone, Dj Dark - Beautiful Things (Record Mix) 84. Cyril, Dean Lewis, Amice - Fall At Your Feet (Record Mix) 85. Coldplay, Avicii - A Sky Full of Stars (Record Mix) 86. Empire Of The Sun, Tony Romera - Walking on a dream (Record Mix) 87. Swanky Tunes, Shapov - Wannabe 88. Oliver Heldens, Ian Asher, Sergio Mendes - Mas Que Nada 89. Calvin Harris, John Newman - Blame! (Record Mix) 90. Iommi, Micah, Perfect Pitch, Alex Caspian - Up And Down (Record Mix) 91. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 92. Oneil, Dj Dimixer - Children (Record Mix) 93. Galantis - Runaway (U & I) (Record Mix) 94. Swedish House Mafia, Pharell - One (Your Name) (Record Mix) 95. Twocolors, Safri Duo, Chris De Sarandy - Head Above Water (Record Mix) 96. Dom Dolla, Clementine Douglas - Miracle Maker (Record Mix) 97. Madison Mars, Little League - New Vibe Who Dis (Record Mix) 98. Keanu Silva, Don Diablo - King of My Castle (Record Mix) 99. Tiesto, Soaky Siren - Tantalizing (Record Mix) 100. Armin Van Buuren, Maia Wright - One More Time (Record Mix) 101. Alok, Ava Max - Car Keys (Ayla) (Record Mix) 102. Alis Shuka, Byjoelmichael - Not About Us (Record Mix) 103. Firebeatz, Dubdogz - Give It Up (Record Mix) 104. R3Hab, Sophie And The Giants - All Night (Record Mix) 105. Kungs - Never Going Home (Record Mix) 106. Anyma, Ellie Goulding - Hypnotized (Record Mix) 107. Genesi, Innellea, Meduza, Nu-La - Edge Of The World 108. R.I.O., Gonsu, Jenia Smile, Ser Twister - Shine On (Record Mix) 109. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 110. Felix Jaehn, Shouse - Walk With Me (Record Mix) 111. John Summit - La Danza (Record Mix) 112. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 113. Robin Schulz, Nervo, Koppy - Freaking You Out (Record Mix) 114. Dr Kucho!, Gregor Salto, Oliver Heldens - Can't Stop Playing (Record Mix) 115. Zhu - In the Morning! (Record Mix) 116. Lola Young, Ted Bear - Messy (Record Mix) 117. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 118. Rob Laniado - Vibing 119. Titov - Philosophy (Record Mix) 120. Joezi, Lizwi - Amathole (Record Mix) 121. Oceana, Bodybangers - Endless Summer (Record Mix) 122. Oneil, Kanvise, Murana - Redlight (Record Mix) 123. Tony Igy - Cascade (Record Mix) 124. Joe Stone, Ferreck Dawn - Man Enough (Record Mix) 125. Disclosure - She's Gone, Dance On 126. Cedric Gervais, Sick Individuals - Feel Better 127. Alle Farben - Bad Ideas (Record Mix) 128. Jack Harlow, Dj Dark - Lovin On Me (Record Mix) 129. Hosh, 1979, Jalja, Slider & Magnit - Midnight (The Hanging Tree) (Record Mix) 130. Lilly Wood, Prick, Robin Schulz - Prayer In C (Record Mix) 131. Nicky Romero, Barmuda - Fade Away 132. Richard Grey - At Night (Record Mix) 133. Avicii - Fade into Darkness (Record Mix) 134. Showtek, Smack, Sam Gray - Take My Heart Away (Record Mix) 135. James Hype, Kim Petras - Drums (Record Mix) 136. Faul & Wad, Nico & Vinz, Altego, Old Jim - How I Feel (Am I Wrong) (Record Mix) 137. Topcover - First Day (Record Mix) 138. Drenchill, Indiiana - Feel This Way (Record Mix) 139. Alok, Daecolm, Malou - Unforgettable (Record Mix) 140. Eelke Kleijn, Joris Voorn - Transmission (Record Mix) 141. Adam Lambert - Ghost Town (Record Mix) 142. Moby, Blond Ish, Kiko Franco - Natural Blues (Record Mix) 143. Dynoro, Gigi D'Agostino - In My Mind... (Record Mix)

At Berlin Buzzwords, industry voices highlighted how search is evolving with AI and LLMs.- Kacper Łukawski (Qdrant) stressed hybrid search (semantic + keyword) as core for RAG systems and promoted efficient embedding models for smaller-scale use.- Manish Gill (ClickHouse) discussed auto-scaling OLAP databases on Kubernetes, combining infrastructure and database knowledge.- André Charton (Kleinanzeigen) reflected on scaling search for millions of classifieds, moving from Solr/Elasticsearch toward vector search, while returning to a hands-on technical role.- Filip Makraduli (Superlinked) introduced a vector-first framework that fuses multiple encoders into one representation for nuanced e-commerce and recommendation search.- Brian Goldin (Voyager Search) emphasized spatial context in retrieval, combining geospatial data with AI enrichment to add the “where” to search.- Atita Arora (Voyager Search) highlighted geospatial AI models, the renewed importance of retrieval in RAG, and the cautious but promising rise of AI agents.Together, their perspectives show a common thread: search is regaining center stage in AI—scaling, hybridization, multimodality, and domain-specific enrichment are shaping the next generation of retrieval systems.Kacper Łukawski Senior Developer Advocate at Qdrant, he educates users on vector and hybrid search. He highlighted Qdrant's support for dense and sparse vectors, the role of search with LLMs, and his interest in cost-effective models like static embeddings for smaller companies and edge apps. Connect: https://www.linkedin.com/in/kacperlukawski/Manish Gill Engineering Manager at ClickHouse, he spoke about running ClickHouse on Kubernetes, tackling auto-scaling and stateful sets. His team focuses on making ClickHouse scale automatically in the cloud. He credited its speed to careful engineering and reflected on the shift from IC to manager. Connect: https://www.linkedin.com/in/manishgill/André Charton Head of Search at Kleinanzeigen, he discussed shaping the company's search tech—moving from Solr to Elasticsearch and now vector search with Vespa. Kleinanzeigen handles 60M items, 1M new listings daily, and 50k requests/sec. André explained his career shift back to hands-on engineering. Connect: https://www.linkedin.com/in/andrecharton/Filip Makraduli Founding ML DevRel engineer at Superlinked, an open-source framework for AI search and recommendations. Its vector-first approach fuses multiple encoders (text, images, structured fields) into composite vectors for single-shot retrieval. His Berlin Buzzwords demo showed e-commerce search with natural-language queries and filters. Connect: https://www.linkedin.com/in/filipmakraduli/Brian Goldin Founder and CEO of Voyager Search, which began with geospatial search and expanded into documents and metadata enrichment. Voyager indexes spatial data and enriches pipelines with NLP, OCR, and AI models to detect entities like oil spills or windmills. He stressed adding spatial context (“the where”) as critical for search and highlighted Voyager's 12 years of enterprise experience. Connect: https://www.linkedin.com/in/brian-goldin-04170a1/Atita Arora Director of AI at Voyager Search, with nearly 20 years in retrieval systems, now focused on geospatial AI for Earth observation data. At Berlin Buzzwords she hosted sessions, attended talks on Lucene, GPUs, and Solr, and emphasized retrieval quality in RAG systems. She is cautiously optimistic about AI agents and values the event as both learning hub and professional reunion. Connect: https://www.linkedin.com/in/atitaarora/

Lance: https://www.linkedin.com/in/lance-martin-64a33b5/ How Context Fails: https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html How New Buzzwords Get Created: https://www.dbreunig.com/2025/07/24/why-the-term-context-engineering-matters.html Content Engineering: https://x.com/RLanceMartin/status/1948441848978309358 https://rlancemartin.github.io/2025/06/23/context_engineering/ https://docs.google.com/presentation/d/16aaXLu40GugY-kOpqDU4e-S0hD1FmHcNyF0rRRnb1OU/edit?usp=sharing Manus Post: https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus Cognition Post: https://cognition.ai/blog/dont-build-multi-agents Multi-Agent Researcher: https://www.anthropic.com/engineering/multi-agent-research-system Human-in-the-loop + Memory: https://github.com/langchain-ai/agents-from-scratch - Bitter Lesson in AI Engineering - Hyung Won Chung on the Bitter Lesson in AI Research: https://www.youtube.com/watch?v=orDKvo8h71o Bitter Lesson w/ Claude Code: https://www.youtube.com/watch?v=Lue8K2jqfKk&t=1s Learning the Bitter Lesson in AI Engineering: https://rlancemartin.github.io/2025/07/30/bitter_lesson/ Open Deep Research: https://github.com/langchain-ai/open_deep_research https://academy.langchain.com/courses/deep-research-with-langgraph Scaling and building things that "don't yet work": https://www.youtube.com/watch?v=p8Jx4qvDoSo - Frameworks - Roast framework at Shopify / standardization of orchestration tools: https://www.youtube.com/watch?v=0NHCyq8bBcM MCP adoption within Anthropic / standardization of protocols: https://www.youtube.com/watch?v=xlEQ6Y3WNNI How to think about frameworks: https://blog.langchain.com/how-to-think-about-agent-frameworks/ RAG benchmarking: https://rlancemartin.github.io/2025/04/03/vibe-code/ Simon's talk with memory-gone-wrong: https://simonwillison.net/2025/Jun/6/six-months-in-llms/

In energy and manufacturing, vast volumes of unstructured data (think OEM manuals, maintenance logs, shift notes, correspondence, procedures), sit largely untapped. For decades, experienced technicians have compensated by carrying critical knowledge in their heads. But with retirements accelerating and fewer seasoned workers on the front line, this model is breaking down.  New large language learning models that underpin technologies such as Grok and ChatGPT are being trained on this unstructured content to create context-relevant, queryable databases for industry. This technology, referred to as retrieval-augmented generation (RAG), could help unlock hidden knowledge across sprawling document sets. Early attempts at RAG have certainly improved search, a task that consumes hours of scarce engineering time. However, companies quickly learned that speed and accuracy fall apart at scale, context matters, and lack of trust in the output leaves users frustrated and skeptical.  The real opportunity lies in pairing RAG with agent-based AI systems designed for complex, asset-intensive environments. By reducing mean time to repair (MTTR), cutting rework, and extending the interval between failures, these solutions directly recover lost production capacity, which is an eight or nine-figure problem in many enterprises. For younger, less experienced workforces, AI tools are a critical equalizer, levelling the field against looming labor shortages. In this episode, I speak with Mark Fosdike, CEO and co-founder of Datch, about how his company is pioneering AI-driven diagnostic agents for manufacturing and industrial clients. We explore the realities of implementing RAG in high-stakes industries, the economic drivers behind adoption, and why obsessing about customers' problems is the key to success.

Enterprise AI Agents for Work, Service and Process: www.kore.ai Kore.ai founder and CEO Raj Koneru breaks down how enterprises are moving beyond chatbots into agentic AI that actually ships. We get into the no-code tooling behind multi-agent workflows, agentic RAG, guardrails that keep outputs in scope, and why a control layer for governance is now essential. Raj shares real scale numbers, the three Kore.ai product lanes for customer and employee experience, and how partnerships with Microsoft and AWS let teams build where they already run. If you care about building secure, explainable AI agents that integrate fast and scale cleanly, this one is for you. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Raj Koneru's Journey & The Birth of Kore.ai (03:10) From Chatbots to Enterprise-Grade Agents(06:33) Security, Scale & Proof in the Market(07:04) What Agentic AI Really Means(12:16) Building & Governing AI Agents(17:26) Kore.ai's Product Lines & Differentiation(20:22) Industry Applications & Case Studies(28:17) User Experience & Change Management(34:46) Governance, Identity & Cost Controls(39:56) Adoption Timelines & Market Outlook(43:51) Roadmap & Partnerships(47:38) Future of the Enterprise AI Landscape

This week on The RAG Podcast, we are revisiting my episode with Laura Clark, CEO of OA Group.Laura's journey is one of the most unique I've ever shared on the show. She grew up watching her mum build Osborne Appointments (now OA Group), joined the business at 19, and earlier this year bought it from her mother to take over as CEO.We talk about:What it was like growing up with an entrepreneurial mother as inspirationJoining the business at 19 and proving herself in recruitmentNavigating four children while building her own career and leadership styleThe emotional and strategic process of negotiating the buyout with her mumHer vision for OA Group, balancing legacy with innovationThis was the first time I've had a guest who has bought their business from a parent, and it raises so many relatable themes for any founder, from negotiating long-term relationships to building a business that truly reflects your values.Chapters00:00 Introduction to The Rag Podcast and Laura Clark02:21 Laura's Journey in Recruitment and Family Dynamics12:03 Early Career Challenges and Growth in Recruitment18:19 Transitioning to Management and Leadership28:38 Taking Over the Family Business32:44 Navigating Business Challenges34:37 The Emotional Dynamics of Family Business38:35 Reflections on Business Exits41:30 Post-Acquisition Vision and Growth49:54 Balancing Remote Work and Team Dynamics55:03 Gender Equality in Leadership59:43 Juggling Work and Family Life__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are showing you exactly how to use it in a brand-new, FREE Masterclass - built specifically

Tracklist: 01. Ronny Grauer & Villambrosa - These Games 02. Wakyin - Peligrosa (Club Mix) 03. Kenny Brian - Piano en los Andes 04. HASKELL - Shake That 05. Andrea Lane, Zsak - Por Eso 06. ESSEL - UR LUV 07. Hugel, Randoree - Work That Body 08. Joe Bermudez & Dana McKeon - Daydream Therapy (Madraas Remix) 09. Eran Hersh, Esther Anaya, Dean Walker, Asteon - Baseline (ft. Snoop Dogg) (Club Mix) 10. Piero Pirupa x Frank'O Moiraghi - In Da House *TRACK OF THE WEEK* 11. Ed Hoffman, Jay Bird - Rejoice 12. Rag, Sowel - Vente Pa Ca! 13. millforlife, Ibara, 2ManyModels - Goodies 14. Edward Maya x Felipe Allenn - All I Need 15. Raw Ordio - Sing It Back 16. AVALAN ROKSTON - Wide Awake (Original Mix) 17. ManyFew - VACKER

What if AI could decode government in real time? In this episode of Eye on AI, Craig Smith sits down with Pat Utz, CEO and Co-Founder of Abstract, the AI startup building “regulatory superintelligence” to track and analyze laws, bills, and regulations across 145,000+ government entities. Pat explains how Abstract evolved from university research into a venture-backed company helping law firms, enterprises, and policymakers cut through the noise of Congress, state legislatures, and regulatory agencies. From uncovering hidden amendments in massive bills to proactively identifying risks and opportunities for businesses, Abstract is transforming how we understand legislation. We cover: How AI is reshaping lobbying, law, and compliance Why Abstract is focused on proactive intelligence, not reactive compliance The role of AI agents, LLMs, and retrieval-augmented generation (RAG) in policy analysis Real examples of AI influencing funding and legislation The future of democracy when citizens and businesses have true transparency into government Whether you're in tech, law, government affairs, or just curious about how AI is changing democracy, this conversation reveals the future of policy intelligence.

On May 4, 2025, I presented live on the topic of Emerging Technological Trends in the Workplace to the American Academy of Matrimonial Lawyers, Northern California Chapter Symposium. Here are the top 5 takeaways:* Generative AI is Transforming Legal Practice—But Must Be Used Correctly* Generative AI (GenAI) tools like ChatGPT are revolutionizing legal work by enabling rapid drafting, research, and iteration. However, lawyers must use legal-specific AI tools that leverage retrieval augmented generation (RAG) and reliable databases, not general-purpose tools, to avoid errors and ethical pitfalls.* The Billable Hour Model is Becoming Obsolete* The efficiency gains from AI make the traditional billable hour model unsustainable and potentially unethical. Lawyers are encouraged to adopt alternative fee structures, especially subscription models, which align incentives, increase access to justice, and provide predictable revenue for firms.* There is a Massive Untapped Legal Market* 77% of U.S. legal issues go unresolved by lawyers, representing a $1.3 trillion market opportunity. By leveraging technology and alternative pricing, lawyers can serve clients previously priced out of legal services, expanding their reach and impact.* Ethical and Practical Imperatives for AI Adoption* Not using AI, or using it incorrectly, can put a lawyer's license and reputation at risk. Rules of professional conduct increasingly require technological competence. Lawyers must be proactive in adopting, understanding, and ethically integrating AI into their practice.* Subscription and Alternative Fee Models Benefit Both Lawyers and Clients* Subscription models foster ongoing client relationships, reduce burnout, and reward efficiency. They provide clients with cost transparency and predictability, while allowing lawyers to scale their practices, serve more clients, and improve profitability.__________________________Here's a link to the slide deck that goes with the presentation.Want to maximize your law firm? Get your ticket to MaxLawCon!Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In for only $77 if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lawsubscribed.com/subscribe

Wohoo, hey ya'll, Alex here,I'm back from the desert (pic at the end) and what a great feeling it is to be back in the studio to talk about everything that happened in AI! It's been a pretty full week (or two) in AI, with Coding agent space heating up, Grok entering the ring and taking over free tokens, Codex 10xing usage and Anthropic... well, we'll get to Anthropic. Today on the show we had Roger and Bhavesh from Nous Research cover the awesome Hermes 4 release and the new PokerBots benchmark, then we had a returning favorite, Kwindla Hultman Kramer, to talk about the GA of RealTime voice from OpenAI. Plus we got some massive funding news, some drama with model quality on Claude Code, and some very exciting news right here from CoreWeave aquiring OpenPipe!

Generative AI has captured global attention, powering everything from chatbots to intelligent assistants. Yet in the enterprise, its promise often hits a dead end. According to Gartner, 80 per cent of enterprise data remains unused or “dark,” because conventional AI struggles to interpret complex, domain-specific information.In this episode of the Don't Panic It's Just Data podcast, EM360Tech host Trisha Pillay speaks with Andreas Blumauer, Senior Vice President at Graphwise, about how retrieval-augmented generation (RAG) and its advanced application, Graph RAG, are levelling up enterprise AI. Together, they explore the limitations of traditional AI, the critical role of knowledge graphs in improving data accuracy, and what it takes for organisations to successfully adopt these technologies.Why Graph RAG MattersWhile RAG enhances Generative AI by enabling it to retrieve relevant data from large knowledge bases, Graph RAG takes it further. By integrating knowledge graphs, Graph RAG preserves the relationships, sequences, and meaning inherent in enterprise data. This ensures AI outputs are not just collections of facts, but structured insights that reflect the logic of an organisation's knowledge.These advantages include:Higher accuracy: Retrieval precision can increase from 80% to 95%, reducing errors in AI outputs.Trustworthy results: Outputs are explainable and traceable, providing transparency that enterprises require.Scalable integration: Connects data across silos and departments, making AI adoption enterprise-ready.“Graph RAG respects the structure of enterprise data instead of flattening it. That's what makes it trustworthy,” explains Blumauer.Generative AI opened the door to possibilities. RAG made it actionable. Graph RAG takes it to the next level. By transforming dark, siloed data into structured, actionable knowledge, Graph RAG helps organisations achieve the accuracy, trust, and scalability essential for navigating the next frontier of enterprise intelligence.Takeaways80 per cent of enterprise data remains unused or dark.Traditional AI struggles to interpret complex enterprise data.RAG retrieves information from within the enterprise data landscape.Graph RAG improves the accuracy of AI outputs.Knowledge graphs link data points across different silos.Building a knowledge graph is a strategic investment.Incremental growth is possible with knowledge graphs.Graph RAG can increase accuracy from 80 per cent to 95 per cent.Data quality and governance are essential for AI success.The future of enterprise AI relies on effective knowledge management.Chapters00:00 Introduction to RAG and Graph RAG03:04 Understanding the Importance of Knowledge Graphs05:46 Adopting RAG: Organisational Readiness and Strategic Investment08:51 Real-World Applications and Benefits of Graph RAG11:56 The Evolution of Knowledge Graphs in AI14:46 Future of GraphRAG and Enterprise AI17:36 Rapid Fire Questions and Closing ThoughtsAbout GraphwiseGraphwise is a leading enterprise AI company specialising in knowledge graph technologies. By combining retrieval-augmented generation (RAG) with advanced graph-based approaches, Graphwise helps organisations turn siloed, complex data into accurate, actionable insights, enabling smarter decisions, scalable...

This week on The RAG Podcast, I'm revisiting my episode with Ben Wallin and Dan Cox, founders of Edison Smart.When I spoke to them in August 2022, they'd already hit £1.7m revenue and built a team of nearly 20 in just over a year. One year later, they scaled to 31 employees, expanded into the US, put boots on the ground in Dubai, and built a structure that no longer relies on their own billing.We talk about:How they built an operational and leadership team that runs the agencyWhy they hired experienced recruiters while others were letting people goThe rebrand to Edison Smart and its focus on smart technologyHow they achieved 40 percent growth in 2023What it takes to truly work on the business, not in itFor any founder asking how to become more operational and scale sustainably, this episode is a clear roadmap.Chapters02:58 Edison Smart's Growth Journey06:01 Operational Structure and Leadership Dynamics09:11 Market Challenges and Strategic Responses11:57 Hiring Strategies and Team Expansion15:09 Navigating Market Changes and Client Relationships17:58 Headcount Growth and Recruitment Strategies22:03 Geographical Expansion: US and Dubai25:10 Branding and Rebranding: Edison Smart27:47 Operational Working Arrangements and Company Culture30:57 Key Takeaways and Future Vision__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are showing you exactly how to use it in a brand-new, FREE Masterclass - built specifically for recruitment leaders like you.You're going to learn:Why your LinkedIn content isn't working - and how

Bobbin Headcast 218 - By Husky – 04/09/2025Follow us on the social links below www.facebook.com/bobbinheadmusicwww.soundcloud.com/bobbinheadmusicwww.twitter.com/bobbinheadmusicwww.instagram.com/bobbinheadmusic Track listing 1. Random Soul – Mesmerizing (Yogi Extended) – Random Soul Recordings2.  Dirtytwo – Embrace – Peking House3. W.H.A.T.A.M.I – I Feel Fire (Husky's BHM Deluxe Mix) – Bobbin Head Music4. Coflo & Adeniji Heavywind – Jambala – Fatsouls records5. ManyFew & Husky – Say My Name (Husky's Beach Club Mix) – ManyFew Records6. Dante Tom – Ket To Your Soul (Sebb Junior Remix) – La Vie D'Artiste Music7.  Raw Essense – Down Down Down – Z Records 8. Shabi – Light My Fire – Large Music 9. Art Of Tones – Gold – Palp 10. Random Soul Feat Amanda Wilson – Back To You (Supermini Remix) – Random Soul Recordings 11.  Yes Boone – All I Really Want – TMRW Music12. Rag ‘n' Bone Man, Max Chapman & Mischief – Whisper – Defected Records 13. Husky – Breathe (Extended VIP Remix)  – Bobbin Head Music14. Phil Fuldner – Afrodesia – Peppermint Jam 15. Close Counters – I Want You – Glitterbox 16. Paul Harris – Words – Toolroom 

Tracklist: 01. Wakyin - Peligrosa (Club Mix) 02. EverythingOShauN, Aiza - Bigger Bada Boom (Frank Delour Remix) 03. Steven Caretti - Never Ever For Detroit 04. Redlight, Obi Franky - Big Piano House Vocal Banger 05. Sean Paul - Get Busy (Markus Martine Remix) 06. Andrea Lane, Zsak - Por Eso 07. Hugel, Randoree - Work That Body *TRACK OF THE WEEK* 08. Oli Benz - NEED 09. Thomas Newson, Marco Lys - Body On Me 10. eSQUIRE & Polina Griffith - SOS (Club Mix) 11. Baby Bash - Suga Suga (GUAPPA REMIX) 12. Fabi Hernandez & Mathieu Ruz - Guataqui 13. Rag 'n' Bone Man, Max Chapman, Mischief - Whisper 14. TRIPL - Que Si 15. Raw Ordio - Sing It Back 16. ManyFew - VACKER

An airhacks.fm conversation with Stephan Janssen (@Stephan007) about: Devoxx Belgium conference selling out in seconds with 7000+ page views, ticket coordination strategies by companies, VAT validation issues with European services, conference featuring largest Java AI content globally, AI and LLM focus with dedicated GenAI track, MCP and AI agents presentations, Java on GPU with tornadovm and Babylon project, quarkus AI agents for langchain4j, vibes coding experiences with React and Angular, importance of specifications for AI code generation, using multiple LLMs for review (Claude, GPT, DeepSeek), file system RAG replacing vector databases, MCP as evolution of RAG, Java as optimal language for LLM code generation due to type safety and standards, bce pattern and MicroProfile for consistent code structure, package-info files improving LLM context understanding, junior developers benefiting from AI as universal tutor, CSS generation without manual coding, dark/light theme support using CSS variables, enterprise challenges with dependency management, DevoxxGenie plugin popularity in enterprises with restricted AI access, open source contribution challenges, local LLMs becoming powerful for enterprise inference, TornadoVM Metal support enabling local inference, comparison with GraalVM inference performance, AI disrupting video production and creative industries, importance of prompt engineering skills, renaissance of development through AI empowerment Stephan Janssen on twitter: @Stephan007

At VMware Explore in Las Vegas, the buzz wasn't just about generative AI, but about where and how it should run. My guest is Tasha Drew, Director of Engineering for the AI team in the VMware Cloud Foundation division at Broadcom, who has been at the center of this conversation. Fresh off the main stage, where she helped debut VMware's new Private AI Services and Intelligent Assist for VMware Cloud Foundation, Tasha joins me to unpack what these announcements mean for enterprises grappling with privacy, cost, and integration challenges. Tasha explains why private AI is resonating so strongly in 2025, outlining the three pillars that define it: protecting sensitive intellectual property, managing regulated or high-value data, and ensuring role-based control of fine-tuned models. She shares how organizations often start their AI journey in the public cloud, but as experimentation turns to production, cost pressures, data compliance, and proximity to data drive them toward private AI. We also dive into VMware's own evolution toward building an AI-native private cloud platform. Tasha highlights the journey from deep learning VMs and Jupyter notebooks to full AI platform services that empower IT teams to deliver models efficiently, save money, and accelerate deployment of retrieval-augmented generation (RAG) applications. She introduces Intelligent Assist for VMware Cloud Foundation, an AI-powered guide that helps teams navigate complex deployments with context-aware support and step-by-step instructions. Beyond the technology, Tasha reflects on the broader ecosystem shifts, from partnerships with NVIDIA and AMD to the role of Model Context Protocol (MCP) in breaking down integration barriers between enterprise systems. She believes MCP represents a turning point, enabling seamless workflows between platforms that historically lacked incentive to work together. This conversation captures a pivotal moment where private AI is moving from theory into enterprise adoption. For leaders weighing their next move, Tasha provides both the strategic framing and the technical insight to understand why private AI has become one of the most talked-about forces shaping enterprise IT today.

1. Ben Westbeech ft RAHH - Whatever Is Missing In You (Aeroplane Motion Mix) - Glitterbox Recordings2. Choices - Less Is More (Original Mix) - Music To Dance To Records3. Jerk Boy & Birdee - Rock The Beats (Extended Mix) - Motive Records4. Jonas Blue & Malive - Edge Of Desire (Extended Mix) - Defected Records5. Elektrik Disko - I Like To Disco (Extended) - Glammarama Records6. Dave Lee ft Shawn Christopher & Black Widow - People Of All Nationz (Extended) - Glitterbox Recordings7. Girls of the Internet featuring Anelisa Lamola - Affirmations (Dennis Ferrer Extended Remix) - Defected Records8. Rag 'n' Bone Man, Max Chapman, Mischief - Whisper - Defected Records9. Random Soul - Mesmerizing (Extended Club VIP Mix) - Random Soul Recordings10. Dr Packer & Yogi - Heavy Vibes (Yogi Extended Mix) - Tinted Records11. Richard Earnshaw, Ridney & Jovonn - House Is The Message (Extended Mix) - Soulfuric Deep12. Harry Romero, Jose Nunez, Alex Alicea & Shawnee Taylor - I Wanna Thank You (Extended Mix) - Glitterbox Recordings13. Chris Lake - Satisfy Me (Extended) - Black Book Records14. Eliza Rose featuring The Trip - Weekend (Extended Mix) - Defected Records15. Paul Harris - Words - Toolroom Records16. Purple Disco Machine feat. Retrosonix - Ghost Town (Extended Mix) - Sweat It Out

While many people talk about “agents,” Shreya Shankar (UC Berkeley) has been building the systems that make them reliable. In this episode, she shares how AI agents and LLM judges can be used to process millions of documents accurately and cheaply. Drawing from work on projects ranging from databases of police misconduct reports to large-scale customer transcripts, Shreya explains the frameworks, error analysis, and guardrails needed to turn flaky LLM outputs into trustworthy pipelines. We talk through: - Treating LLM workflows as ETL pipelines for unstructured text - Error analysis: why you need humans reviewing the first 50–100 traces - Guardrails like retries, validators, and “gleaning” - How LLM judges work — rubrics, pairwise comparisons, and cost trade-offs - Cheap vs. expensive models: when to swap for savings - Where agents fit in (and where they don't) If you've ever wondered how to move beyond unreliable demos, this episode shows how to scale LLMs to millions of documents — without breaking the bank. LINKS Shreya's website (https://www.sh-reya.com/) DocETL, A system for LLM-powered data processing (https://www.docetl.org/) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Watch the podcast video on YouTube (https://youtu.be/3r_Hsjy85nk) Shreya's AI evals course, which she teaches with Hamel "Evals" Husain (https://maven.com/parlance-labs/evals?promoCode=GOHUGORGOHOME)

Meet Muhammad Farooq, a machine learning engineer and a YouTuber on the channel @engineerprompt, where he explains AI concepts and builds his own projects. In this episode of People of AI, hosts Ashley and Christina chat with Muhammad about his journey in tech, his open source project localGPT, and how he's helping organizations deploy scalable AI solutions.  Chapters: 0:00 Intro 3:15 From Ph.D to YouTube Creator 4:50 First viral YouTube hit 8:20 RAG and why it matters 11:20 The origins of localGPT 15:20 What has changed with building in the last 2 years 18:35 How AI tools and models have matured 19:50 Becoming a technical manager to LLMs 22:20 What agentic coding has enabled Muhammad to build in localGPT 2.0 27:45 Better maintaining open source projects by leveraging AI 28:50 What to watch out for when building with agentic systems 31:20 Advice for junior developers 35:40 Differences between how junior devs and senior devs use AI tools 39:19 Specs-driven development 41:20 Advice for experimenting with AI tools 42:50 The problem with overly-agreeable LLMs 45:10 Why long-context windows are useful for coding 47:30 Advice for someone launching a tech-focused YouTube channel 51:40 Rapid Fire Questions Resources: @engineerprompt YouTube Channel → https://goo.gle/4m8HCmn  localGPT → https://goo.gle/45qwiuH  localGPT 2.0 - Building the Best Private RAG System → https://goo.gle/4fwvyJb  Muhammad's website → https://goo.gle/47aHaj9  Muhammad on X → https://goo.gle/4lraJjz  Measuring the Impact of Early-2025  AI on Experienced Open-Source Developer Productivity → https://goo.gle/4oqVGct  Watch more People of AI → https://goo.gle/PAI  Subscribe to Google for Developers → https://goo.gle/developers #PeopleofAI Speaker: Christina Warren, Ashley Oldacre Products Mentioned: AI  

This week on The RAG Podcast, we are revisiting Episode 1 from Season 7 with Kevin Frater, Director at Stable10 and a recruitment leader with over 18 years of experience across Allegis and Frank Group.Kevin built his reputation as a fixer, turning underperforming offices into high-performing teams. Most notably, he grew a team in Germany from 12 to 180 recruiters over six years, creating one of the most successful divisions within Frank Group globally.We talk about:The playbook for turning around underperforming recruitment teamsScaling internationally across London, Singapore and GermanyWhat it really takes to grow and manage high-performing sales culturesHow to balance leadership, travel and personal life at scaleWhy Kevin chose to take a break before his next chapterWhether you're a manager looking to build and lead bigger teams or a recruitment business searching for a leader to drive growth, this episode is packed with insight.Chapters03:02 Kevin Frater's Journey in Recruitment08:25 Transition from Allegious Group to Frank Group14:32 Leadership and Team Growth Strategies20:10 Turning Around Underperforming Teams31:50 International Experience: Asia and Germany40:37 Challenges and Successes in the German Market48:32 Scaling the Team from 12 to 18055:35 Reflections on Career and Future Opportunities__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are showing you exactly how to use it in a brand-new, FREE Masterclass - built specifically for recruitment leaders like you.You're going to learn:Why your LinkedIn content isn't working - and how to fix it...

124bpm - 127bpm HUNTR-X – Golden David Guetta – If you really love me Nicky Romero – Why do I call Rita Ora – Ask & you shall receive Sabrina Carpenter – Manchild Calvin Harris – By your side Becky Hill – Better off without you David Guetta, Becky Hill & Ella Henderson – Crazy what love can do Silk City, Ellie Goulding – New love Oliver Heldens – Break this habit Sigala Fe. John Newman & Nile Rodgers – Give me your love Tove Lo, SG Lewis – Heat Mistajam – Monday kind of Tuesday Dannii Minogue – You won't forget about me Waze & Odyssey – Bump & grind 2014 Nightcrawlers – Friday Jax Jones, Raye – You don't know me Dua Lipa – Don't start now Alex Gaudino, Dopamine, MazZz – Saturday Ed Sheeran – Shivers Shane Codd – Always on my mind Avicii – Wake me up David Guetta Fe. Sam Martin – Lovers on the sun Sigala, David Guetta, Sam Ryder – Living without you Alesso, Nico & Vinz – I wanna know Alesso, OneRepublic – If I lose myself Nicky Romero – Okay Pitbull Fe. J Lo & Claudia Leitte – We are one (Ole Ole) Empire Of The Sun – Celebrate Galantis – No money Switch Disco – React Joel Corry – Out out Offaiah – Trouble HUNTR-X – What it sounds like IVE, Saweetie – All night Galantis – Love on me Myles Smith – Stargazing Galantis Fe. Dolan – Never felt a love like this Conor Maynard – Turn around Coldplay & BTS – My universe Sebastian Ingrosso & Alesso – Calling (Lose my mind) James Hype – Ferrari Oliver Heldens, Karen Harding – Oops Pink, Cash Cash – Can we pretend Armin van Buuren, Philip Strand – Roll the dice Calvin Harris Fe. Rag''n'Bone – Giants Lewis Capaldi – Forget me Swedish House Mafia – Center of the universe Tim Berg- Seek romance Avicii – Levels

01. Ive, David Guetta - Supernova Love (Record Mix) 02. Anna Naklab, Younotus, Alle Farben - Supergirl (Record Mix) 03. Bob Sinclar - Cruel Summer (Record Mix) 04. Pierse, Blair - Bitter Sweet Symphony (Record Mix) 05. John Summit - La Danza (Record Mix) 06. One-T, Ywy, Nika - The Way To Love (Record Mix) 07. Lucas & Steve, Lawrent, Jordan Shaw - End Of Time (Record Mix) 08. Killteq, D.Hash, Vallhee - I Like It (Record Mix) 09. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 10. Joel Corry, Pickle, Vula - Stay Together (Baby Baby) (Record Mix) 11. Alok, Daecolm, Malou - Unforgettable (Record Mix) 12. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 13. Maruv, Boosin - Drunk Groove (Record Mix) 14. Anyma, Ellie Goulding - Hypnotized (Record Mix) 15. Joezi, Lizwi - Amathole (Record Mix) 16. Benson Boone, Dj Dark - Beautiful Things (Record Mix) 17. Basto! - I Rave You (Record Mix) 18. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 19. Robin Schulz, James Blunt - OK (Record Mix) 20. Empire Of The Sun, Tony Romera - Walking on a dream (Record Mix) 21. Thomas Gold - Pump Up The Jam (Record Mix) 22. Otnicka, Kaskeiyp - For an Angel (Record Mix) 23. Faul & Wad, Nico & Vinz, Altego, Old Jim - How I Feel (Am I Wrong) (Record Mix) 24. Fedde Le Grand - Rude Boy (Record Mix) 25. Teriyaki Boyz, Hayat - Tokyo Drift (Record Mix) 26. Felix, Charlotte Haining, Switch Disco - I Found You (Record Mix) 27. Felix Jaehn, Shouse - Walk With Me (Record Mix) 28. C-Bool - Never Go Away (Record Mix) 29. Eastblock Bitches, Ostblockschlampen - Sunglasses at Night (Record Mix) 30. Adam Lambert - Ghost Town (Record Mix) 31. Alesso, Calvin Harris - Under Control (Record Mix) 32. Alesso, Calvin Harris - Under Control (Record Mix) 33. Misha Miller, Alexvelea, Bodega - Bam Bam (Record Mix) 34. Faros - Say It Right (Record Mix) 35. Argy, Omiki - WIND (Record Mix) 36. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 37. Topcover - First Day (Record Mix) 38. Rompasso, Bedanokov - In the Dark (Record Mix) 39. Imany, Ivan Spell, Daniel Magre - You Will Never Know (Record Mix) 40. David Guetta, Ne-Yo, Akon - Play Hard (Record Mix) 41. Cat Dealers, Lothief, Santti - Sunshine (Record Mix) 42. Zerb, Sofiya Nzau - Mwaki (Record Mix) 43. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 44. Armand Van Helden, Salvatore Mancuso - my my my (Record Mix) 45. Becky Hill - Outside Of Love (Record Mix) 46. Darude, Glazur, Xm - Sandstorm (Record Mix) 47. Kylie Minogue - Lights Camera Action (Record Mix) 48. Rob Laniado - Vibing 49. Armin Van Buuren, Maia Wright - One More Time (Record Mix) 50. Robin Schulz, Cyril, Sam Martin - World Gone Wild (Record Mix) 51. Gamuel Sori, Lovespeake, Amice - Us (Record Mix) 52. Alex Adair, Don Diablo, Cid - Make Me Feel Better (Record Mix) 53. Hypaton, David Guetta, La Bouche - Be My Lover (Record Mix) 54. Twocolors - Heavy Metal Love (Record Mix) 55. Shouse - Love Tonight (Record Mix) 56. Argy, Omnya - Aria (Record Mix) 57. Richard Grey - At Night (Record Mix) 58. John Martin, Tiesto - Anywhere For You (Record Mix) 59. Oliver Heldens, Ian Asher, Sergio Mendes - Mas Que Nada 60. Lady Gaga - Abracadabra (Record Mix) 61. Sakko, Jibaro - Carnival (Record Mix) 62. Oneil, Kanvise, Smola - Boys (Record Mix) 63. Doechii, Dj Dark - Anxiety (Record Mix) 64. Bassjackers - Wrong Or Right (The Riddle) (Record Mix) 65. Boney M, R3Hab - Sunny (Record Mix) 66. Diplo, Miguel - Don't Forget My Love (Record Mix) 67. Lola Young, Ted Bear - Messy (Record Mix) 68. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 69. Calvin Harris, Benny Blanco - I Found You (Record Mix) 70. Fast Boy, Raf, Amice - Wave (Record Mix) 71. Ian Carey, Michelle Shellers, Manyfew, Joe Stone - Keep On Rising (Record Mix) 72. Faul, Wad, Pnau - Changes (Record Mix) 73. Swanky Tunes, Shapov - Wannabe 74. Alok, Agents Of Time - Fever 75. Avalan Rokston, Alex Caspian - Something to Believe In (Record Mix) 76. Meduza, Becky Hill, Goodboys - Lose Control (Record Mix) 77. Shane Codd - Rather Be Alone (Record Mix) 78. Rue Jay - I Want Your Love 79. Dj Dimixer, Dante, Dmitrii G - Only you (Record Mix) 80. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 81. Martin Garrix - Animals! (Record Mix) 82. Martin Garrix - Animals! (Record Mix) 83. Steve Angello - Me 84. Max Oazo - Gimme! Gimme! Gimme! (Record Mix) 85. Galwaro, Lizot, Gabry Ponte - Like a Prayer (Record Mix) 86. Lucas & Steve - Push The Feeling (Record Mix) 87. Dj Kuba, Neitan, Bounce Inc. - Watch Out (Record Mix) 88. Sevdaliza, Yseult, Pabllo Vittar, Tiesto - Alibi (Record Mix) 89. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 90. Afrosalto, Mednas, Afrojack, Gregor Salto - All Good Things (Come To An End) (Record Mix) 91. Topic, A7S - Breaking Me (Record Mix) 92. Martin Jensen, Fastboy - One Day (Record Mix) 93. Otnicka - Celebrate the Love (Record Mix) 94. Zerb, Sofiya Nzau, Izzy Bizu - Kumbaya (Record Mix) 95. Moby, Blond Ish, Kiko Franco - Natural Blues (Record Mix) 96. Maesic, Marshall Jefferson, Salome Das - Life Is Simple (Record Mix) 97. Matt Sassari, Sidepiece - Elektro (Record Mix) 98. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 99. Global Deejays, Jenia Smile, Ser Twister - The Sound Of San Francisco (Record Mix) 100. Don Diablo, R3Hab, Neeka - Disco Marathon 101. Lykke Li, The Magician - I Follow Rivers (Record Mix) 102. Block & Crown, Atilla Cetin - How Many Nations (Record Mix) 103. Lost Frequencies, Janieck Devy - Reality (Record Mix) 104. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 105. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 106. Gregory Porter, Jonas Blue - Liquid Spirit (Record Mix) 107. Murdbrain, Theajsound, Rachel Morgan Perry - Save Me (Record Mix) 108. Oneil, Kanvise, Sara Phillips, Organ - Wake Me Up (Record Mix) 109. Alexander Popov, Whiteout, Vaileri - Need to Feel Loved (Record Mix) 110. Felix Jaehn, Shouse - Walk With Me (Record Mix) 111. Disclosure - She's Gone, Dance On 112. Avicii - Levels (Record Mix) 113. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 114. Camelphat, Elderbrook - Cola (Record Mix) 115. Oliver Heldens, Weibird - Out of Love (Record Mix) 116. Marshmello, Jonas Brothers, Alex Caspian - Slow Motion (Record Mix) 117. Galantis - Runaway (U & I) (Record Mix) 118. Akcent, Sera, Misha Miller - Don't Leave (Kylie) (Record Mix) 119. David Zowie - House Every Weekend (Record Mix) 120. Morgan Page, Telykast - Dancing All Alone (Record Mix) 121. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 122. Weiss, Harry Romero - Where Do We Go (Record Mix) 123. Kungs - Clap Your Hands (Record Mix) 124. Fisher, Flowdan - Boost Up (Record Mix) 125. Rihanna, Calvin Harris - We Found Love (Record Mix) 126. Zhu - Faded (Record Mix) 127. Alok, Ella Eyre, Kenny Dope, Never Dull - Deep Down (Record Mix) 128. Lilly Wood, Prick, Robin Schulz - Prayer In C (Record Mix) 129. Kygo, Hayla, Joel Corry - Without You 130. Melsen, Dwight Steven - One More Night 131. Filatov & Karas - Time Won't Wait (Record Mix) 132. Roland Clark, Mark Knight, James Hurr - Get Deep 133. Tiesto, Black Eyed Peas - Pump It Louder (Record Mix) 134. Stefy De Cicco, Ben Hamilton, Martin Jensen - Day 'N' Nite (Record Mix) 135. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 136. Hugel, Topic, Arash, Daecolm - I Adore You (Record Mix) 137. Dj Dimixer, Favia - One of Us (Record Mix) 138. Marc Korn, Danny Suko, Heart Fx - Every Breath You Take (Record Mix) 139. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 140. Klaas - The Way (Record Mix) 141. Mirko Donnini - Thinking of You (Record Mix) 142. Jonas Blue, Jp Cooper - Perfect Strangers (Record Mix) 143. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 144. Tiesto, Soaky Siren - Tantalizing (Record Mix) 145. R3Hab, Inna, Sash! - Rock My Body (Record Mix)

Will more data solve AI hallucinations? Maybe. But what about the industries that have the most to gain (and lose) from AI transformation like healthcare? Join us as we dive deep into the role of data and transformation and what obstacles the healthcare industry still has to clear to turn their digital delusions into data dreams. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Trillion-Dollar Data Center Investments for AIGenerative AI Transforming Health Tech Use CasesAI and Physician Burnout SolutionsOrganizational Challenges: AI Literacy and EducationData Quality, Cleanliness, and Health Tech OutcomesTransparency and Accountability in Health Data PipelinesImportance of RAG (Retrieval Augmented Generation)AI Hallucinations and Patient Safety RisksOpen Source AI Models and Health Data PrivacyFuture Impacts of Large Language Model InvestmentsTimestamps:00:00 "Tech and Healthcare Evolution Insights"06:50 AI Investment and Data Challenges in Ghana09:48 Ensuring Accurate, Real-Time Data Retrieval13:18 "Building Transparent GenAI Models"15:54 Prior Authorization Ensures Claims Accuracy18:34 Responsible Data Management Challenges22:45 AI Data Accuracy and Consequences25:04 Data Transparency and Accuracy ImperativeKeywords:Generative AI in health tech, artificial intelligence in healthcare, large language models, data center investment, AI hallucinations, data quality, retrieval augmented generation (RAG), physician burnout, AI-powered clinical notes, medical imaging AI, HR workforce optimization, health tech digital transformation, healthcare data privacy, healthcare data security, AI model training, AI education, data literacy, operational efficiency in healthcare, sustainable data centers, environmental impact of data centers, transparency in AI, data trustworthiness, real-time data extraction, cross-checking AI outputs, patient outcomes, healthcare regulations, high-stakes AI industries, open source AI models, AI supply chain management, healthcare claims denial, prior authorization automation, grounding AI models, human-in-the-loop in AI, data accuracy, precision in healthcare AI, medical decision making AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Neste episódio do Cabeça de Lab, falamos sobre a chegada do GitHub Copilt ao LuizaLabs. Exploramos o que é a ferramenta, como foi o processo de implementação em larga escala e os desafios de automatizar a governança para milhares de desenvolvedores. Também discutimos os ganhos esperados em produtividade, qualidade de código e segurança, além de refletir sobre o impacto cultural do Copilot no dia a dia das equipes e no futuro do desenvolvimento de software.Se você quer entender como a inteligência artificial está transformando a forma de programar e como ela pode potencializar o trabalho dos devs, este episódio é para você. Dê o play e descubra os bastidores dessa jornada. Se você quer entender melhor como levar sua solução de IA generativa a outro nível, dê o play e descubra como os grafos podem turbinar a sua RAG.Edição completa por Rádiofobia Podcast e Multimídia: ⁠⁠https://radiofobia.com.br/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---Nos siga no Twitter e no Instagram: @luizalabs @cabecadelabDúvidas, cabeçadas e sugestões, mande e-mail para o cabecadelab@luizalabs.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ou uma DM no InstagramParticipantes: LIVIA FACCHIN | https://www.linkedin.com/in/lívia-facchin-43ab5b12HENRIQUE MITTER | https://www.linkedin.com/in/henriquemitterLUCAS DOURADO | https://www.linkedin.com/in/lucdouraRAISSA XAVIER | https://www.linkedin.com/in/raissaxavierANA CAROLINA FONSECA BARRETO | https://www.linkedin.com/in/anacarolinafonsecabarreto

An airhacks.fm conversation with Antonio Goncalves (@agoncal) about: journey from Java Champion to Principal Software Engineer at Microsoft focusing on AI, the evolution from Java EE standards to modern AI development, writing technical books with LLM assistance, langchain4j as a Java SDK for LLMs providing abstraction over different AI providers, the importance of Java standards and patterns for LLM code generation, Boundary Control Entity (BCE / ECB) pattern recognition by LLMs, quarkus integration with LangChain4J enabling dependency injection and multi-tenancy, MCP (Model Context Protocol) as a new standard potentially replacing some RAG use cases, enterprise AI adoption using Azure AI Foundry and AWS Bedrock, model routers for optimal LLM selection based on prompt complexity, the future of small specialized models versus large general models, tornadovm enabling Java execution on GPUs with 6x performance improvements, GraalVM native compilation for LLM applications, the resurgence of Java EE patterns in the age of AI, using prompts as documentation in READMEs and JavaDocs, the advantage of type-safe languages like Java for LLM understanding, Microsoft's contribution to open source AI projects including LangChain4J, teaching new developers with AI assistance and the importance of curiosity, CERN's particle accelerator and its use of Java, the comparison between old "hallucinating architects" and modern LLM hallucinations, writing books about AI using AI tools for assistance, the structure of the Understanding LangChain4j book covering models RAG tools and MCP, enterprise requirements for data privacy and model training restrictions Antonio Goncalves on twitter: @agoncal

Cette semaine on vous propose en “replay” ce dossier consacré aux LLM transformés en assistant métier.A l'occasion de la conférence AWS reInvent à Las Vegas en décembre dernierSébastien S. a rencontré Grégory Becquembois, AWS Data Expert chez Decision Network.Ensemble, ils nous expliquent comment passer d'un simple modèle d'IA à un véritable assistant métier. Cet hors-série explore le potentiel des LLM avec, dans un premier temps, ce que sont le "continued pre-training" et le "fine-tuning" et le "Retrieval Augmented Generation" (RAG) dans un second temps (00:16:23) Une discussion passionnante sur l'innovation et la créativité à l'ère de l'intelligence artificielle !

In SSPI's Accelerate Change podcast series, sponsored by SES, we explore how creative collaboration is transforming the pace of innovation across the space and satellite industry. SES is championing a new era - one where partnerships, agile technologies, and bold ideas are breaking old cycles and building a more connected future. Through conversations with leaders in cloud, telecommunications, sustainability, and space infrastructure, we dive into the stories shaping the next frontier of global connectivity. In the second episode, we hear from three major players at Amazon Web Services: Shayn Hawthorne, General Manager of Space Services, Akanksha Alok, Solutions Architect - Artificial Intelligence and Machine Learning, and Jonathon Fraker, Senior Account Executive, USSF. Shayn Hawthorne has worked for over 30 years in the space field, first as an Active Duty and Reserve US Air Force astronautical engineer and space operations officer, building and launching research and development satellites for the Intelligence Community (IC) and conducting both space surveillance and counterspace operations. Shayn also served 20 years at the MITRE Corporation as Technical Director on IC sensors, Missile Defense Agency sensors and engagement systems, and Space Control Operations. Shayn then joined Amazon Web Services where he founded AWS Ground Station, Amazon's 1st space service, helped start AWS's Aerospace & Satellite Solutions Division, and developed on-orbit space edge runtimes. Shayn is now AWS's Principal Advisor for National Security sensors and satellites. In this role Shayn works with customers and builders across AWS to build new enterprises that utilize AWS services and features to disrupt how space operations are conducted. Akanksha Alok is an Artificial Intelligence and Machine Learning professional with a background in computer science from the University of Virginia and an MBA from Johns Hopkins. With over five years at Amazon Web Services, she has held impactful roles-first as a Data Scientist, where she built end-to-end machine learning pipelines, and currently as a Solutions Architect, helping organizations design and scale "intelligent" systems both on the ground and in space. Her expertise spans natural language processing, computer vision, and generative Al, with deep focus areas including agentic workflows, retrieval-augmented generation (RAG), context engineering, and large-scale model training and inference. Akanksha is passionate about translating cutting-edge research into practical solutions that drive real-world value. Jonathon Fraker is a Space Technology and National Security professional specializing in cloud-enabled space operations. At Amazon Web Services, he partners with the U.S. Space Force to implement mission-critical cloud solutions that enhance space operations capabilities. He has also developed new AWS space-edge services, delivering innovative solutions for both government and commercial missions. His expertise spans space mission management, ground systems architecture, and cloud technology integration for space and defense applications. During his tenure at Raytheon Technologies, he led FVEY space programs that pioneered cloud-based Mission Management systems. Jonathon focuses on advancing national space capabilities through commercial innovation, dedicating his career to empowering space and national security partners with transformative technologies.

Today's show:In this TWiST 500 double feature, Alex sits down with two breakout founders: Chalk's Marc Freed-Finnegan & Tollbit's Toshit Panigrahi!First, Chalk's CEO Marc Freed-Finnegan is tackling one of AI's biggest bottlenecks—data freshness. Instead of relying on stale batch jobs, Chalk delivers real-time pipelines for inference compute, automatically transpiling Python into C++/Rust so it can run blazing fast in production. Investors are calling it the ‘next Databricks'—and after hearing this convo, you'll see why.Then, Tollbit's CEO Toshit Panigrahi returns after raising a $24M Series A and signing up 1,400+ publishers. With RAG traffic exploding and robots.txt losing its teeth, their ‘bot paywall' could reshape how AI agents pay for the content they consume. Are we heading for a Spotify moment for data licensing?A must-watch if you care about the economics of AI, from data pipelines to publisher monetization.Timestamps:(0:00) Intro + sponsors(1:03) Alex tees up two Twist 500 interviews: Chalk & Tolbert(2:47) Why AI is shifting from training compute to inference compute(4:41) Data freshness & real-time inference explained(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(12:00) How Chalk transpiles Python into C++/Rust for speed(18:52) Chalk's business model, margins & $500M valuation(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(21:24) Show Continues…(28:02) Tollbit returns: $24M Series A & the rise of RAG bot traffic(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.(31:41) Show Continues…(36:53) Robots.txt losing relevance & the case for bot paywalls(39:19)Publishers, AI agents & the future economics of the webSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

This week on The RAG Podcast, I'm revisiting my episode with Joe Jani, founder and CEO of Metric Search, one of the fastest growing recruitment firms in the world.Joe launched Metric in 2019 and in just six years has scaled to 90 heads across the US and UK. At only 31 years old, he's already closed a private equity deal, taking seven figures off the table while setting the business on course for a $100m valuation.We talk about:The strategic decisions behind launching and scaling MetricNavigating the COVID pandemic without slowing momentumHow leadership and culture have fuelled rapid growthThe truth about managing and billing at the same timeWhat private equity means for the next stage of growthJoe's story is proof that with the right vision, culture and commercial focus, you can scale globally at pace while still building a business that lasts.Chapters00:00 Introduction to Joe Jarny and Metric Search02:09 Joe's Journey in Recruitment11:52 Launching Metric Search and Navigating COVID22:03 The MBO Process and Growth Strategy35:14 Private Equity Deal and Future Plans49:21 Personal Life and Work-Life Balance01:00:38 Myths in Recruitment and Leadership__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are showing you exactly how to use it in a brand-new, FREE Masterclass - built specifically for recruitment leaders like you.You're going to learn:Why your LinkedIn content isn't working - and how to fix it fastHow to generate inbound leads without being “LinkedIn famous”And the exact Hoxo 3X System agencies are using to book more calls - in just a few hours a...

Episode 29 of Shake The Tree, with myself Danny Marx. Broadcasting weekly on Data Transmission radio. Every Wednesday, 11am UK time. Expect the full spectrum of the (mostly vocal) House Music I play & love. This week's show features tracks & remixes from Prunk, Kiddy Smile, Low Steppa, Kim English, Dumitrescu, Estban & more. Hope you enjoy. ⚡️Like the Show? Click the [Repost] ↻ button so more people can hear it!

Wei Hu is the Senior Vice President, High Availability Technologies, at Oracle. In today's Cloud Wars Live, Hu sits down with Bob Evans for a wide-ranging discussion on Oracle's globally distributed database, AI-native workloads, and how Oracle is helping businesses meet data sovereignty requirements while delivering high performance, elasticity, and always-on availability across regions.Where AI Meets Your DataThe Big Themes:Globally Distributed Exadata Database on Exascale: Oracle's Globally Distributed Exadata Database on Exascale Infrastructure delivers something few cloud providers can: high performance, high availability, and full compliance. Built on Oracle's powerful Exadata platform, this architecture removes the traditional need to purchase or manage hardware. Organizations can start small and elastically scale compute and memory across multiple regions.Agentic AI and Vector Search at Enterprise Scale: Oracle's database innovation is designed for real-world AI demands, especially agentic AI. AI agents need massive compute, consistent availability, and extremely fast access to live business data. Oracle's globally distributed architecture supports in-memory vector indexes for lightning-fast retrieval augmented generation (RAG), making AI more responsive and effective. Additionally, Oracle keeps AI close to the data — eliminating stale data issues and ensuring compliance.Built for a Sovereign Cloud World: Data residency and sovereignty are no longer optional, they're legal imperatives. Countries around the world are implementing strict rules on where data must be stored, how it can be accessed, and who can process it. Oracle addresses these challenges with policy-driven data distribution, allowing customers to define how and where data lives. Whether it's for compliance with India's payment data regulations or Europe's GDPR, Oracle enables precise control without requiring app changes or replication of the full stack.The Big Quote: “The other thing that's interesting about agentic AI is that it's very dynamic. The work comes in, the demands comes in, like a tidal wave. Then it goes away, right, then a little, then when it comes again, there's another tidal wave. So, what you really want to do is have an infrastructure that is elastic, that can scale up and down depending on the demand."More from Wei Hu and Oracle:Connect with Wei Hu on LinkedIn and learn more about Globally Distributed Exadata Database on Exascale Infrastructure.* Sponsored Podcast * Visit Cloud Wars for more.

The theme of today's podcast is nourishment.It dawned on me a few minutes into my conversation with Hannah Cohen that when she said proper nourishment was critical to her writing process, she was being literal.  It was no metaphor. If Cohen's not hydrated and fed, the creative process becomes much more arduous. She's the first songwriter to ever tell me that. But when Cohen also told me that "the body keeps score," she was now talking nourishment as metaphor. She expressed a view that every writer knows: your writing process is always taking place. It's happening when you're eating, sleeping, working, talking, moving, whatever. Pen hitting paper is only a small part of that process. Cohen tells a great story in this episode of how her new song "Rag" came about. Back to the literal: it started with an actual rag on the side of the road. Cohen's latest album is Earthstar Mountain,

Tracklist: 01. PLS & TY - Take A Chance (Grossomoddo Remix) 02. KVSH & Tim Hox feat. Cumbiafrica - Corocito (Manguelena) 03. Raffa FL & Arianna Triassi - Mi Bomba 04. Martin Ikin & Hayley May - Rush 05. Andrea Lane & Zsak - Por Eso 06. Saul Antolin - Knights of the Jaguar (Groove Edit) 07. Sam Ourt & Tim Lights - Rude Boy 08. Proyecto Uno - El Tiburón (Andrew Storm Edit) 09. Joe Smooth - Promised Land (Mark Knight & James Hype Remix) 10. Chris Lorenzo, Marco Strous & Buraka Som Sistema - BaBaBa (Hangover) *TRACK OF THE WEEK* 11. Illyus Barrientos & Gene Farris - Problems 12. Jocelyn Brown, Luke Alessi, Chloé Caillet & Obskür - The One 13. Rag 'n' Bone Man, Max Chapman & Mischief - Whisper 14. HUGEL, Topic & Arash ft. Daecolm - I Adore You (Robert Georgescu & White Remix) 15. Ferreck Dawn & Hayley May - Deep Inside 16. Phats & Small - Turn Around (Hey What's Wrong With You)

Send us a textIf our visual scoring is still based on gut feeling, how do we scale precision? In this week's DigiPath Digest, I explored four new AI-focused papers that could reshape how we diagnose prostate, bladder, gastroesophageal, and endocrine cancers.From automated IHC scoring to predicting urethral recurrence post-cystectomy, these studies highlight the growing value—and responsibility—of integrating AI into our pathology workflows.And yes, I also reveal where to get my histology-inspired earrings

CFA Institute Research and Policy Center senior investment data scientist Brian Pisaneschi, CFA, breaks down the future of AI in investing—covering retrieval-augmented generation (RAG), agentic workflows, and why human creativity remains your strongest edge. Discover how to pair large language models with accurate data to cut through noise, reduce hallucinations, and make smarter decisions.
Listen now to sharpen your AI investing skills—and explore Brian's in-depth articles on the CFA Institute Research and Policy Center website, rpc.cfainstitute.org.

MariaDB is a name with deep roots in the open-source database world, but in 2025 it is showing the energy and ambition of a company on the rise. Taken private in 2022 and backed by K1 Investment Management, MariaDB is doubling down on innovation while positioning itself as a strong alternative to MySQL and Oracle. At a time when many organisations are frustrated with Oracle's pricing and MySQL's cloud-first pivot, MariaDB is finding new opportunities by combining open-source freedom with enterprise-grade reliability. In this conversation, I sit down with Vikas Mathur, Chief Product Officer at MariaDB, to explore how the company is capitalising on these market shifts. Vikas shares the thinking behind MariaDB's renewed focus, explains how the platform delivers similar features to Oracle at up to 80 percent lower total cost of ownership, and details how recent innovations are opening the door to new workloads and use cases. One of the most significant developments is the launch of Vector Search in January 2023. This feature is built directly into InnoDB, eliminating the need for separate vector databases and delivering two to three times the performance of PG Vector. With hardware acceleration on both x86 and IBM Power architectures, and native connectors for leading AI frameworks such as LlamaIndex, LangChain and Spring AI, MariaDB is making it easier for developers to integrate AI capabilities without complex custom work. Vikas explains how MariaDB's pluggable storage engine architecture allows users to match the right engine to the right workload. InnoDB handles balanced transactional workloads, MyRocks is optimised for heavy writes, ColumnStore supports analytical queries, and Moroonga enables text search. With native JSON support and more than forty functions for manipulating semi-structured data, MariaDB can also remove the need for separate document databases. This flexibility underpins the company's vision of one database for infinite possibilities. The discussion also examines how MariaDB manages the balance between its open-source community and enterprise customers. Community adoption provides early feedback on new features and helps drive rapid improvement, while enterprise customers benefit from production support, advanced security, high availability and disaster recovery capabilities such as Galera-based synchronous replication and the MacScale proxy. We look ahead to how MariaDB plans to expand its managed cloud services, including DBaaS and serverless options, and how the company is working on a “RAG in a box” approach to simplify retrieval-augmented generation for DBAs. Vikas also shares his perspective on market trends, from the shift away from embedded AI and traditional machine learning features toward LLM-powered applications, to the growing number of companies moving from NoSQL back to SQL for scalability and long-term maintainability. This is a deep dive into the strategy, technology and market forces shaping MariaDB's next chapter. It will be of interest to database architects, AI engineers, and technology leaders looking for insight into how an open-source veteran is reinventing itself for the AI era while challenging the biggest names in the industry.

Neste episódio do Cabeça de Lab, exploramos como unir RAG (Geração Aumentada por Recuperação) e grafos para superar limitações da busca vetorial tradicional. A conversa aborda desde o conceito e funcionamento de grafos, passando por vantagens e desafios dessa abordagem, até exemplos práticos de aplicação em soluções com IA generativa. Também discutimos como a arquitetura da aplicação influencia o desempenho e como decidir entre uma RAG tradicional e uma RAG com grafos para diferentes cenários.Se você quer entender melhor como levar sua solução de IA generativa a outro nível, dê o play e descubra como os grafos podem turbinar a sua RAG.Edição completa por Rádiofobia Podcast e Multimídia: ⁠⁠https://radiofobia.com.br/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---Nos siga no Twitter e no Instagram: @luizalabs @cabecadelabDúvidas, cabeçadas e sugestões, mande e-mail para o cabecadelab@luizalabs.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ou uma DM no InstagramParticipantes: MIRIÃ GOLLMANN | www.linkedin.com/in/miriagollmann/JACKSON OSVALDO | https://www.linkedin.com/in/jackson-osvaldo

Have you tried ChatGPT's updated Canvas mode in GPT-5?If you didn't know, most frontier LLMs have a way for you to render and run code in the browser like a virtual computer -- this is what ChatGPT's Canvas mode does. Previously, Google Gemini's Canvas and Anthropic's Artifacts were light-years ahead of ChatGPT's Canvas mode. With GPT-5, though, OpenAI has closed that gap. We'll tell you what's new, how it works, and how to put GPT-5's updated Canvas mode to work for YOU. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT-5 Canvas Mode Overview & FeaturesHow to Activate Canvas Mode in ChatGPTCanvas Mode: Inline Editing CapabilitiesCanvas Mode: Live Code Writing & RenderingBuilding Interactive Web Apps With CanvasUploading & Visualizing Data in Canvas ModeReal-World Canvas Mode Business Use CasesGPT-5 Coding Advancements in CanvasStep-by-Step Live Canvas Mode DemonstrationsTroubleshooting Canvas Mode Errors & LimitsComparing Canvas Mode to Gemini's CanvasFive Business Solutions Using GPT-5 CanvasTimestamps:00:00 "Become AI Expert with GPT5"03:46 "Exploring GPT-5's Canvas Mode"08:14 Exploring GPT-5 Canvas Mode13:48 "Exploring Context Engineering in AI"15:11 Live Test: Uploading Large Files17:47 Hosting Interactive Web Game Easily21:42 Creative Career Advancement Tips26:01 Unexpected Features and Mode Toggles28:47 "Podcast Revenue Calculator Need"33:14 "GPT-5 Canvas Mode Enhancements"34:27 Iterative Conversations with GPT538:24 "Client ROI Calculator Tool"42:34 "GPT-5's Impact on Business Efficiency"44:39 "Spread the Word on AI"Keywords:GPT-5, Canvas Mode, ChatGPT Canvas, GPT-5 Canvas Mode, GPT-5 update, OpenAI, ChatGPT updates, interactive editor, inline editing, code generation, code rendering, business dashboard, interactive web app, vibe coding, non-technical coding, prompt engineering, Context engineering, Retrieval Augmented Generation, RAG, interactive learning game, live coding demo, dashboard builder, data visualization, file upload, CSV analysis, resume website generator, portfolio site with Canvas, client ROI calculator, proposal generator, contract comparison tool, meeting summary builder, budget variance dashboard, enhanced code capabilities, SWE Bench Verified, software engineering benchmarks, syntactic code generation, contextual understanding, model selector, GPT-5 Pro, tSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

This week on The RAG Podcast, I'm revisiting my chat with Jordan Shlosberg, founder of Atlas, the first AI-first CRM built for the recruitment market.Jordan's no stranger to scale. Before Atlas, he founded Prosapien, growing it to $40 million in revenue in just five years before exiting. He's now bringing the same disruptive approach to recruitment technology.We talk about:How Atlas uses AI to eliminate low-value admin work for recruitersWhy the recruitment industry is ripe for disruptionLessons from scaling and exiting ProsapienHis vision for building a CRM that recruiters actually want to useHow he's creating a culture where employees share in the company's successJordan's mission is to give recruiters more time to do what they do best, building relationships and making placements, while Atlas handles the admin.If you're questioning whether your CRM is keeping up with AI's potential, this is one to watch.--------------------------------------Chapters00:00 Introduction to The Rag Podcast and Guest Jordan Shlosberg02:51 Jordan's Entrepreneurial Journey and Background05:57 The Birth of Atlas and AI in Recruitment08:51 The Role of Family Background in Entrepreneurial Drive12:03 Transition from Finance to Entrepreneurship15:03 Building ProSapient: The First Company18:06 Growth Strategies and Challenges in ProSapient20:55 Technology's Impact on Business Operations23:52 Navigating Funding and Investment Rounds26:41 The Evolution of Leadership and Management29:47 The Future of Atlas and AI in Recruitment43:54 Navigating a Competitive Recruitment Landscape45:31 Building Software for Recruitment Success48:48 Innovating in Recruitment Technology50:31 The Future of Spec CVs and AI Integration58:30 Streamlining Administrative Tasks with AI01:00:27 Enhancing Data Management and Reporting01:08:37 Customer Support and User Experience01:17:42 Vision for the Future of Atlas__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If

This Episodes Questions: Brians Questions Hey guys, appreciate you answering several of my questions in the past, so I thought of a few more. Feel free to separate as they are not related: 1: What do you do, if anything, to maintain furniture you have built? What would you tell a client if they were to ask you. I have always heard Murphy's oil is a good restorative, but when I looked at a bottle at the store I discovered it's just mineral oil. I would never recommend that. Or should I? Lemon Pledge Furniture Polish. Joking, but seriously, what is a good answer? Paste wax? Or just wipe the dust off and let it be? Peter Downing I'm building a dresser and have built the carcass out of cherry plywood. I've glued up a panel out of solid cherry that I want to use as the top. I want to attach the solid panel to the top of the carcass. Would you recommend using screws from the inside/underside of the plywood top and allowing for wood movement or is it ok to glue the solid wood top to the plywood carcass top? Eric Guys Questions Domino vs beadlock set up from rockler?   Same principle...and , in my experience...same outcome.    Thoughts? Crafted Carpentry Tampa When I wanted to learn how to apply shellac, I did a search and found a Youtube video of Guy from the late 70's when Youtube first came out demonstrating his technique involving a balled up rag and a mason jar with a lid to keep it in so it doesn't dry out between coats.  That video is fantastic and I learned a lot than just the rag and jar business. Inevitably, when I'm done shellacking for the day, I leave the rag Guy's Jar.  Because you never really know when you are done applying shellac to something until you arrive at that destination, I end up leaving that rag in the jar for a few weeks.  It's amazing how well it keeps even weeks later.  HOWEVER, on more than one occasion, when I pull Guy's Rag from the jar, it is moldy.  This surprised me the first time because I assumed that the amount of alcohol in the shellac would prevent anything from growing. Does this happen to y'all or is indicative of something amiss.  I just toss it and get a new rag. Additional data points: Shallac is < 2 months old, made from flakes, sourced from Oregon's shellacshack.com I'm using Platina colored shellac usually I'm using "Finishers Edge Shellac Reducer" instead of denatured alcohol because is way more expensive so it must be better right? Jar is a resealable mason jar with a rubber gasket Cloth is from the "bag of t shirts" you can buy at your local woodworking store Shellac still has a strong odor of fresh shellac I reuse the same jar to store my rag Because I'm not a proctologist, there is a chance I've misdiagnosed the mold so I attached an image of the rag. Robert Huys Questions Gents, there is a question here, but I wanted to share some info with you first. In a recent episode there was a bit of a discussion of using Tung oil and how to thin it, etc.  I recently made a  walnut desk inspired by the Nakashima style. I've had the good fortune to get my eyes and hands on some of his pieces for inspiration - they are amazing.  Anyway, on the Nakashima website they discuss the care of their furniture, mentioning how they use Southerland Welles Tung Oil Wiping Varnish. https://sutherlandwelles.com/product-category/wipingvarnish/ It is really easy to apply and looks fantastic, especially on walnut.  I used the Sealer and High Lustre Polymerized Tung Oil finishes. I highly recommend them. (this is not a paid ad!) Finally, here is my question: Have you ever taken a technique, tool, or finish that is used in another craft for your use in furniture making? An example might be Tru Oil used on gunstocks as a furniture finish? Or a technique used by luthiers that helped you in furniture making? Thanks again for a great podcast! Regards, David V. Hi guy I have a question or re3ally looking for advice. I noticed the tension on the v-belt of my delat 14 inch band saw was lose. It looked like freely wabblying when spinning the balde and I could come reaelly close to touching the two sides together when pinching the belt. Anyways I found the manuel online and it says there should be 1 inch deflection. asuming the maker knows what they are talking about I never seen a belt with that much allowance after being tight, so what do you think? Also Wen mention how much a pain replacing the tires or wheels were, how do you do that (i know google will answer my questions too, but we like hearing you guys talk)? Last part, are these upgrades really worth it, sometime I buy into something that really is not an improvement (https://www.youtube.com/watch?v=JpDA2X6L9Y4) (https://www.youtube.com/watch?v=4FOa9EJf91g) Paul Miotchell

Welcome to your weekly dose of true HedKandi Anthems!  We bring you the ultimate selection of house music, vocal house, nu-disco, funky house, and the occasional chill-out track every week! Follow us on social media: https://www.facebook.com/hedkandi https://www.instagram.com/hedkandi/ Join our community: https://www.facebook.com/groups/hedkandigroup   TRACKLIST ⤵ HOUR1 00:00:00 Kako Martinez feat Back To The Essence - Shadows Of Love (Dreamy Love Mix) 00:04:30 Diskobar - Love Me Tonight (Original Mix) 00:09:15 Soultizer, Soneec - You Belong To Me (Original Mix) 00:14:38 Disco Milieu - Disco Whey (Original Mix) 00:18:32 Gershon Jackson - C'Mon & Sing-A-Long (Mike Dunn Blackball MixX) 00:24:23 Les Bisous & Sgt Slick - Reach Out (Extended Mix) 00:28:31 Cerrone, Christine & The Queens - Supernature MMXXV (Purple Disco Machine Remix) 00:35:50 Groove P, Adeva - Hold On Honey (Extended Mix) 00:38:54 PinkPantheress vs Riva Starr - Illegal (Disco Dom Refunk) 00:42:39 Memi P., Lorraine Wilson - On the Radio (Extended Mix) 00:48:22 David Penn, Kurtis Mantronik, KPD - Get Down (Extended Mix) 00:52:30 David Penn - 7 Ways to Love 00:55:48 Harry Romero, Jose Nunez, Alex Alicea, Shawnee Taylor - I Wanna Thank You (Extended Mix) HOUR2 01:00:00 Solomun, Change - Love Recycled 01:06:22 Adam Ten, Jackie (IT) & Kool & The Gang - GET DOWN (Extended Mix) 01:11:28 Dombresky, Chaney, KLP - Running (Extended Mix) 01:14:36 Girls Of The Internet feat. Anelisa Lamola - Affirmations (Dennis Ferrer Extended Remix) 01:20:06 Jamie Jones & Baby Rose - Rolling Thunder (Extended Mix) 01:26:00 Chris Lake, Bonobo, Alexis Roberts - Falling 01:29:50 Nathalie Duchene and Radio Slave - We Are The Youth (Cassimm Extended Remix) 01:34:49 Prunk - Stay (Original Mix) 01:39:28 Rag 'n' Bone Man, Max Chapman & Mischief - Whisper (Extended Mix) 01:44:22 Tensnake - Capitano (Extended Mix) 01:49:59 Jinadu, Wh0, Just Aaron - Feels (Extended Mix) 01:56:38 The Supermen Lovers, OneRepublic - Starlight

Here's a lil secret: ChatGPT's newly released study mode isn't just for students. Actually.... we think everyday professionals have a lot more to gain from OpenAI's new Study mode. We'll break down how to use it, real use-cases and 3 tips to start making knowledge stick. Don't miss this one. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Study Mode Overview & GoalsStudy Mode vs. Standard ChatGPT ResponsesCustom Instructions and Prompt Engineering BasicsStep-by-Step Learning with Quiz FeaturesBusiness Use Cases for Study ModePersonalizing Study Mode for Roles & ContextModel Switching: GPT-4o vs GPT-3.5/O3Study Mode Tips: Uploads, Deep Research, ModesRetention and Knowledge Checks Using Study ModeTimestamps:00:00 "Everyday AI: Leveraging ChatGPT"04:40 Study Mode: Engaging Student Learning07:12 Exploring Language Model Features09:49 "RAG vs. Context Engineering (2025)"15:53 Context Engineering Enhances AI Interaction17:30 AI Tools for Overcoming Knowledge Retention19:59 Study Mode Enhances Knowledge Retention24:01 Personalize ChatGPT with Custom Instructions26:35 Interactive Competitor Analysis Guide31:40 ChatGPT's Model Switching Benefits33:02 Maximize Learning with Deep Research37:41 "AI Insights & Interactive Demos"Keywords:ChatGPT Study Mode, ChatGPT learning mode, OpenAI, step-by-step problem solving, learning tools, interactive AI tutor, business application of study mode, non-student use cases, AI brain rot, lifelong learning with AI, retention of information, AI-powered quizzes, context engineering, retrieval augmented generation, RAG, large language models, LLMs, prompt engineering, custom instructions, Socratic method AI, AI in higher education, AI for business professionals, onboarding with AI, personalized AI learning, AI-powered flashcards, deep research in ChatGPT, O3 model, GPT-4, model switching, context window, document uploads in ChatGPT, AI-generated summaries, market analysis with AI, competitor analysis, sales training with AI, interactive study guide, AI knowledge retention, business leader AI tools, personalized AI study plans, educational technology, AI for professional development, AI-assisted learning, new AI features 2024, using AI to boost career, conversational AI learning, AI knowledge quizzesSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Strap on the gloves and join us on the Paddy Wagon Podcast as we sit down with Chris Pickett, a former MMA fighter turned comedian and podcast host. In this episode, we learn "chewing the rag" isn't as disgusting as it sounds.  Chris shares his journey from the octagon to the stage, revealing the highs and lows of his his unforgettable 26-second MMA debut... Ok... Mainly lows. We take a dive into the world of MMA, discussing legendary fighters, the evolution of the sport, and touch on our two favorite NFL teams who are NOT headed in the right direction... The Pittsburgh Steelers and the Dallas Cowboys. Mike learns that Chris is a streamer who plays CFB 26 and invites himself onto Chris' channel for a tussle.  Whether you're a fight fan, searching for your Puerto Rican father or just love a good story, this episode is packed with humor, ground and pound, and a whole bunch of swear words. Don't miss it!   Be sure to check out Chris' podcast, Chewing the Rag wherever you listen to your favorite shows or at Chewintheragpodcast.com Give Chris a follow at @ChewinTheRagPod on both Instagram and Twitter   Episode Sponsors:     Mometu   https://mometu.com/   Looking for your next movie, documentary or TV show to binge?  Tired of seeing the same 20 movies recommended over and over?  Look no further than Mometu!!  Great content isn't reserved for 2 or 3 bigger streaming services we've all used and it doesn't always come in the form of a 100 million dollar budget.  Mometu helps you discover often under-served content.  Some of the best films you've never heard of are out there waiting to be enjoyed.  Don't let the algorithms tell you what's up next.  Mometu has over 10,000 hand-curated titles…. All free… All the time!  Put an end to those subscription services today. The Mometu app is available for phones, smart TVs and can also be streamed over the web.     Intro/Outro Music Provided by: https://uppbeat.io/t/kevin-macleod/achaidh-cheide https://uppbeat.io/t/kevin-macleod/celtic-impulse

Elliot Shmukler (Co-Founder and CEO at Anomalo) talks about the impact of data quality on AI, how unstructured data can be improved, and how monitoring of data lakes can help prevent model drift and give organizations confidence with predictable results.SHOW: 945SHOW TRANSCRIPT: The Cloudcast #945 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK:  http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their websiteSHOW NOTES:Anomalo websiteThe Cloudcast #598 - Data QualitySnowflake invests in AnomaloTopic 1 - Elliot, welcome back! It's hard to believe it has been 3 years since we spoke! Give everyone a brief introduction.Topic 2 - Here's the problem I see when it comes to AI adoption today. There isn't an “off the shelf” AI model with an organization's data built in; that's impossible. So, you must bring this data, often unstructured, to the model, often with mixed results. Do you agree?Topic 3 - I see data quality in two ways… the quality of the data before ingestion is one way, we want the data to be clean going in. But, we also need a way to detect, mitigate, and do a root cause analysis for quality checks along the way, correct? Give everyone an idea of what this life cycle looks like.Topic 4 - What are you seeing as the barriers to adoption? Is it the tools, the models, the need for RAG pipelines, the lack of data scientists, and AIOps?Topic 5 - We have this crossroads where proprietary data makes an organization unique, but exposing that unique data puts the organization at risk. How much of a factor does this play, and how do you advise organizations around this complex intersectionTopic 6 - There is always this concept of predictable results. This answer should be consistent and repeatable. We've seen things like model/data drift and hallucinations hinder this concept, leading to a lack of confidence in the results. How do you advise organizations to tackle this lifecycle management and predictability over time?Topic 7 - If listeners want to get started and learn more, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Using AI isn't a competitive advantage anymore.

Scott and Wes break down how to code with and for AI; perfect for skeptics, beginners, and curious devs. They cover everything from Ghost Text and CLI agents to building your own AI-powered apps with embeddings, function calling, and multi-model workflows. Show Notes 00:00 Welcome to Syntax! 03:56 How to interface with AI. 04:07 IDE Ghost Text. 05:45 IDE Chat, Agents. 08:00 CLI Agents. Claude Code. Open Code. Gemini. 11:13 MCP Servers. Context7 14:47 GUI apps. v0. Bolt.new. Lovable. Windsurf. 19:07 Existing Chat app like ChatGPT. 22:37 Building things WITH AI. 23:32 Prompting. 26:53 Streaming VS not streaming. 28:14 Embeddings and Rag. 31:09 MCP Server. CJ's MCP Deep Dive. 32:36 Brought to you by Sentry.io. 33:25 Multi-model, multi-provider. 36:27 npm libs to use to code with AI. OpenAI SDK. AI SDK. Cloudflare Agents. Langchain. Local AI Tensorflow. Transformers.js. Huggingface. 44:12 Processes and exploring. 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