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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.
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
Send us a text❗️Is synthetic data trustworthy enough to train AI for patient care? It just might be—and that's what both excites and terrifies me. ❗️Hey trailblazers! In this episode of the Digital Pathology Podcast, I take you through the second part of our AI in Pathology series—this time, we're focusing on generative AI and how it's revolutionizing diagnostics, education, and workflow in our field.From synthetic H&E slides that could pass for real to multimodal agents that can read your histology images and chat with you about them—yes, really—this is where digital pathology meets the “bleeding edge” of AI development.We'll also look at real use cases, a synthetic biobank you can trust, and the biases, hallucinations, and ethical minefields that come along for the ride.
RADIO PROGRAM ISSUED LIVE, RECORDED IN VIP BOILER STUDIO, AND WILL BE BROADCASTED INTEGRALLY FROM RADIO ABRERA FM (BARCELONA) MIXED BY JOHN C. BRAVE, BARCELONA ON SATURDAY, AUGUST 09, 2025 - HOUSE, NU-DISCO, SOULFUL HOUSE, DEEP HOUSE, JACKIN HOUSE, TRIBAL HOUSE, PROGRESSIVE HOUSE & TECH-HOUSE. EVERYTHING MIXED WITH RELOOP RP-8000-MK2 PLATES, TIME CODE VINYLS, PIONEER DDJ-1000SRT. LONG LIFE AT THE HOUSE MUSIC. ENCOURAGE AND ENJOY THE SESSION !!! ¡¡¡¡¡¡¡¡¡¡¡¡ PROMOTIONAL USE ONLY !!!!!!!!!!!!! 1) Rag'n'Bone Man, Mischief, Max Chapman - Whisper (Extended Mix) 2) Michelle Weeks, Gabriel Deb - Turn Around (Extended Mix) 3) Luca Martini, Nina Moon - Desire (Extended Mix) 4) Edsoul, RudiKastic - Never Gonna Give You Up (Main Version) 5) Jackers Revenge - Close To You (Clubmix) 6) Max Magnani - Release Me (Funky Mix) 7) Girls Of The Internet, Anelisa Lamola - Affirmations (Dennis Ferrer Extended Remix) 8) Laurent Simeca - Gotta Be Free (Original Mix) 9) Jodie Harsh - Kiss It Better (Original Club Mix) 10) Nari, Lissat, Nabuk - Cada Vez (Funky Tribal Mix) 11) Rasmus Faber - Esta Loca (Extended Mix) 12) The Cube Guys, Silvano Del Gado - Chambacu (Original Mix) 13) Saintpaul DJ, Luca Pedonese, Roland Clark - The Dancer (Silvano del Gado Remix) 14) Joshwa, Enzo is Burning - Night Moves (Extended Mix) 15) Dirty Disco, The Blessed Madonna, Kylie - Edge Of Saturday Night (Dirty Disco Mainroom Remix) 16) Black Eyed Peas - Rock That Body (ROWKA Remix) (ROWKA Remix) 17) Cristian Marchi, Reverend Haus - Fast Cars & Superstars (Original Mix) 18) Block & Crown, Lissat - Control The Darts (Original Mix) 19) Sofi Tukker, The Knocks - One On One (Extended Mix) 20) Wolfram, Josh Ludlow - YoYo Disco (Purple Disco Machine Extended Remix)
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
It's always a good day if you see a pelican. In Episode 30 of Talking Postgres with Claire Giordano, open source developer Simon Willison—creator of Datasette and co-creator of Django—joins to explore how AI is useful for data engineers today. We move past the hype and boosterism to dig into example after example: structured data extraction, alt text and accessibility, safety and security (aka the fiddly bits), and why Postgres's fine-grained permissions are such a good fit for AI-powered workflows. Also: Pulitzer-worthy data tooling, the science fiction of the 10X engineer, agents, MCP, RAG, the multitude of models, and why Simon spends so many waking hours on the jagged frontier of AI.Links mentioned in this episode:Blog: Simon Willison's WeblogBlog: Simon's Willison's TIL - Things I've LearnedPodcast episode: Working in public on open source with Simon Willison and Marco SlotProject page: Django Web FrameworkProject page: Datasette, for finding stories in data GitHub repo: llm CLI tool and Python libraryDemo: Language models on the command-line w/ Simon WillisonBlog post: OpenAI's new open weight (Apache 2) models are really good, by Simon Willison Podcast episode: Accessibility and Gen AI podcast with guest Simon WillisonBlog post: New dashboard: alt text for all my images, by Simon Willison Keynote talk: Big Opportunities in Small Data, by Simon Willison at Citus Con: An Event for Postgres 2023 Blog post: How OpenElections Uses LLMs, by Derek Willis Blog posts tagged with pelican-riding-a-bicycle on Simon Willison's Weblog Blog post: No, AI is not Making Engineers 10x as Productive, via Colton Voege, featured on Simon's weblogGitHub repo: pgvector extension to PostgresCal invite: LIVE recording of Ep31 of Talking Postgres to happen on Wed Sep 17, 2025
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
This week on The RAG Podcast, I'm joined by Stuart Mitchell, the founder of Hampton North, a specialist cybersecurity search firm based in the US.Stuart launched his business, and in just nine months, he had already surpassed the seven-figure mark. There were no cold calls, no marketing spend, just LinkedIn and a consistent commitment to personal branding.We talk about:How he's built a brand that attracts top talent and clientsWhat it was like launching through RecruitHubHis remote first mindset and how that's shaped the teamThe “Magic Inbox” that helped him scale at record speedAnd why authenticity is his biggest competitive edgeEvery one of Stuart's hires so far has approached him directly after following his content. He's building an Avengers-level team of high performers who believe in his approach and are now reaping the rewards of it.If you're running a recruitment business or thinking about starting one, this is the episode to watch.Catch it live on my LinkedIn at 12 pm on Wednesday or listen back afterwards wherever you get your podcasts.Chapters00:00 Introduction to Stuart Mitchell and Hampton North02:53 Stuart's Journey into Recruitment06:08 Building a Personal Brand08:59 Transitioning to Cybersecurity Recruitment11:57 The Launch of Hampton North14:34 The Role of Recruit Hub17:36 The Impact of Personal Branding on Business20:40 Navigating the Recruitment Landscape23:28 Hiring and Building a Team26:46 Work-Life Balance as a New Parent29:40 Advice for Aspiring Recruitment Entrepreneurs__________________________________________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...
House music at its best! Let Dave Baker take you on a journey of discovery and aural pleasure as he brings you the hottest and freshest funky, deep and tech house releases every week. It may be freezing here in Sydney but these tunes definitely bring the heat! In the first hour of this extended mix we have tunes so sweet and delicious, if they were on a spoon you'd be licking it all day! In the second hour we have nothing but pure electric energy with plenty of banging beats and dirty bass while still keeping the uplifting vibe alive. If you love this mix please take a minute out of your day to comment against the episode 276 instagram post here: www.instagram.com/hothousehours/ Share the Soundcloud direct link with friends: https://soundcloud.com/hothousehours/episode276 Tracks released on July 25 unless shown. 1. Whisper (Extended Mix) - Mischief, Max Chapman, Rag'n'Bone Man [Defected]
Tracklist: 01. Rag 'n' Bone Man, Max Chapman, Mischief - Whisper 02. Samm (BE) - Body Language 03. Shimza x ARCO x Kasango - Fire Fire 04. The Good Men x Milk & Sugar - Give It Up 05. Switch Disco, Tones And I - HIDEAWAY (Afro Remix) 06. Illyus Barrientos, Gene Farris - Problems 07. Toman - Verano En NY 08. Felipe Allenn x MORENITA - Morenita 09. Francis Mercier, Barbatuques - Baian (Boa Noite) 10. Roger Sanchez & The Gipsy Chico Castillo - El Gitano 11. Muzzaik, Stadiumx - Turbo *TRACK OF THE WEEK* 12. Fedde Le Grand - Liquid Music 13. Mohtiv - Your Touch 14. Raffa FL, Arianna Triassi - Mi Bomba 15. PLS & TY - Take A Chance (Grossomoddo Remix) 16. Lilya Mandre & Dennis Louvra - Paradis 17. MAXI MERAKI - HYPED
Pınarating (6 Ağustos 2025) - Ragıp Narin by Kafa Radyo
In this technical deep dive, Generation AI explores the evolution from prompt engineering to context engineering - a critical shift in how we build intelligent AI systems. Hosts Ardis Kadiu and Petar Djordjevic from Element451 break down why static prompts are no longer enough and how dynamic context management is the key to creating truly smart agents. They explain the technical architecture behind retrieval augmented generation (RAG), discuss the challenges of building multi-agent systems that coordinate effectively, and reveal how Element451's new bulk jobs feature represents the cutting edge of context engineering in higher education. The episode concludes with an analysis of Mark Zuckerberg's vision for "personal superintelligence" - always-on AI assistants that remember everything about you. This matters because institutions need to understand that the success of AI agents depends entirely on having rich, well-structured data and proper context management - not just smart models.Introduction and the Shift from Prompt to Context Engineering (00:00:00)Welcome back Petar Djordjevic as co-host for the third timeThe transformation from static prompt libraries to dynamic context systemsWhy GPT-4's evolution to reasoning models changed everythingHow agents use tools to gather real-time information instead of relying on frozen knowledgeDefining Context Engineering vs Prompt Engineering (00:04:11)Context engineering as managing dynamic information for AI tasksThe evolution from one-shot prompt problems to complex agent workflowsHow automation requirements drove the need for context engineeringWhy "it's their first day on the job every day" for AI modelsDeep Dive into RAG (Retrieval Augmented Generation) (00:17:17)The complete RAG pipeline: from user query to accurate responseBreaking down queries into multiple intents for better resultsVector databases and metadata attachment for information storageThe importance of combining keyword search with semantic searchAdvanced RAG Techniques and Challenges (00:21:08)Data preparation: parsing PDFs and extracting meaningful chunksWhy semantic search alone isn't enough - the CS101 problemRe-ranking and post-processing to get the most relevant resultsHow to handle citations and build user trust in AI responsesBuilding Complex Agent Systems at Element451 (00:33:08)Element451's new Bulk Jobs feature as a case studyThe research phase: gathering student data, interaction history, and contextWhy data-rich platforms are essential for successful agentsMoving from segment-based personalization to true "segment of one"Context Pruning and Tool Selection (00:41:31)Why you can't just throw all data into the context windowPerformance degradation with large contexts - the needle in haystack problemSelecting the right tools for each task (SMS vs WhatsApp example)How to compress and adapt content for optimal performanceMulti-Agent Coordination and State Management (00:46:48)The challenge of multiple agents working on the same studentContext writing: how agents remember what they did and whyPreventing redundant actions across different departmentsBuilding systems that coordinate like experienced teamsCommon Mistakes in Context Engineering (00:50:17)The danger of being "lazy about context" and assuming AI is smart enoughWhy domain expertise is crucial for building effective agentsThe importance of vertical-specific agents (Cursor, Harvey, Sierra examples)How Element451 leverages its CRM data for education-specific agentsThe Future: Personal Superintelligence (00:53:18)Mark Zuckerberg's vision of always-on, memory-rich personal AIMeta's glasses as the computing platform of the futureAndrej Karpathy's small model with massive context approachChallenges: ambient monitoring, recall/summary, lifelong memory files - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.
Ich war mal wieder auf der Biennale in Venedig, die nach dem Zeigen von (hervorragender) Kunst in 2024, in diesem Jahr architekturinteressierte Besucher anlocken möchte, um die Stadtkassen zu füllen; 10 € Eintritt kostet Venedig aktuell pro Person, die Biennale 25 € . Man könnte fast meinen, das Studio B Kollektiv reihe sich absichtlich Jahr für Jahr ein in den Tross der Venedig-Biennalebesucherinnen: die Männer uniformiert in weißen Leinenhosen und Panamahüten, die weiblich gelesenen Kulturmenschen in wehenden floralgemusterten Sommergewändern mit einem Sonnenschirm in der Hand, den man post-sale mit einem bequem vertretbaren politischen Statement hat beschriften lassen.Alles falsch gedacht, waren Teile der Lob- und Verrissbrigade doch einfach nur in der Emilia-Romagna, genauer in ihrem kulinarischen Epizentrum Bologna, in dem alles, wirklich alles, schmeckt, wie in der Werbung; außer der Bolognese, die man noch so edel "Ragù" nennen kann und die doch eine unterwürzte Hackfleischsoße bleibt, egal auf welchem Restaurantniveau man sich bewegt. Das ist aber kein Beinbruch, getraut sich doch kein Bologneser, ein Restaurant zu eröffnen, ohne selbstgemachte Tagliatelle (und Unterarten) auf den Tisch zu bringen oder ein Kotelett à la Bolognese (suuuuuperdünnes Kalbskotelett mit Parmaschinken und Parmesan überbacken in, really, Soße), kurz: man kann ohne verstärkte Besuche des lokalen Fitnessklubs vor und nach dem Urlaub einen solchen nicht angehen. Unterstützend sollte es schon vor Ort und zwischen den Fressereien heißen: Bewegung, Bewegung, Bewegung! Aber das ist in Bologna kein Aufruf, das ist ein Imperativ, existieren große Teile der Innenstadt doch heute noch in ihrer mittelalterlichen Struktur. Und dennoch versucht man 10 Buslinien durch die engen Straßen zu jagen, was spektakulär fehlschlägt: wenn man nicht gerade mit einem Koffer unterwegs ist, ist man schneller zu Fuß.Das wird erleichtert durch eine 1288 eingeführte städtebauliche Vorschrift, die besagt, dass jedes in Bologna neu zu bauende Haus mit einer Arkade versehen werden muss. Die Portici, wie sie in der heimischen Zunge heißen, sind ein architektonisches Feature, bei dem die erste Etage eines an einer Straße stehenden Hauses den Fußweg überdacht. Damit das hält, baut man also Säulen unter den ersten Stock, vorn an der Straße, und fertig ist der ganzjährige Sonnen- und Regenschutz. Der Fußweg wurde dann im Allgemeinen noch mit Marmormosaiken gepflastert und verschliffen und so wandert man durch die ganze cirka 2x2km große Innenstadt wie in einem einzigen marmorierten Korridor, was die Sache auch bei klimakatastrophalen 35 Grad erträglich und durch häufige Stopps an den absurd großartigen Eisläden gar zum Vergnügen macht.Wir waren also eher zufällig perfekt auf das Motto der dieses Jahr in Venedig stattfindenden Architekturbiennale vorbereitet:Intelligens. Natural. Artificial. Collective.Ähm. Genau.Intelligens meint laut eigener Aussage: "Eine Kombination aus „Intelligenz" und Gemeinschaft; verweist sowohl auf technologische als auch auf soziale Aspekte der Architektur." Dieses Portmanteau funktioniert nur für Inhaber eines kleinen Latinum, denn nur auf Latein heißt *gens "*Volk, Gemeinschaft, ethnische Gruppe". Entsprechend wirr und mit dem Hammer passend gemacht erklären sich auch die anderen Worte: AI ist dabei, Umwelt natürlich und das Collective meint wohl, dass man auch als Architekturlaie mit palavern kann. Nichts wie hin!Der Vorteil an Bologna ist, neben den erwähnten epikuräischen Wohltaten, dass es verkehrstechnisch im Zentrum Norditaliens liegt. Für 5 € und eine Stunde Zeit kommt man von Bologna aus mit der S-Bahn nach Modena, Ravenna, Parma und wenn man den Fernzug für ein paar Euro mehr nimmt, in der gleichen Zeit bis nach Mailand oder Venedig. Also macht man das natürlich: auf in das Venedig Italiens!Wie gesagt, 2025 ist "nur" die Architekturbiennale am Start und man ahnt, dass das nicht ganz so der Publikumsmagnet ist, wenn man am Giardini des Biennale um 11:00 Uhr, zur täglichen Eröffnung, nicht anstehen muss - zur Kunstbiennale ein tägliches Ritual.Warum das so ist, wird klar, wenn man den Bruchteil des Aufwands betrachtet, der in den Zwischenjahren in die Bespielung der Pavillons im Giardini fließt: Die ČSSR (die es dort noch gibt, denn ihr Haus wurde 1926 gebaut) macht gleich ganz zu, genauso wie Venezuela. Dem Russen wird wie schon letztes Jahr das Haus weggenommen und mit Didaktischem bespielt, der Schweizer stellt Holzwände in den Pavillon, die irgendwas mit Umwelt zu tun haben. Das führt dann dazu, dass ratlose ältere Männer diese Holzwände beklopfen und so Sachen sagen wie: "Ja, nachhaltig isses scho'". Die "Nordic Countries" (Finland, Sweden, Norway) luden ein paar Künstler ein, deren Output eher dem inklusiven Laienanspruch des diesjährigen Biennalemottos entsprach. Man versuchte zum Thema "was zu machen" und was rauskommt, wenn man einem Künstler sagt, wozu er was machen soll, ist halt ein verrostetes Auto und wirre Erklärtafeln mit den Buzzwords der Saison von Ökologie bis Transsexualität, weil, verrostetes Auto! Skjønner? Förstår?! Ymmärrän?!!Wie letztes Jahr zur Kunstbiennale stach auch dieses Jahr Großbritannien hervor, auch diesmal wieder seiner kolonialen Geschichte gegenübertretend, nur mit geringerem Budget, was angesichts der monumentalen Videoinstallation in 2024 keine Kunst ist. Die verschiedenen Räume sind an ehemals kolonial Unterdrückte vermietet und diese zeigen zum Beispiel in einer raumfüllenden Balkengrafik, welches Land wie viele Umweltschäden in ihrer Geschichte angesammelt hat. Dass ich, um das zu verstehen, die zwei verschiedenen Erklärungen zweimal lesen und mir zusätzlich nochmal verbal erklären lassen musste, lag an mir, klar. Umhüllt war das britische Haus von einem Vorhang aus kleinen Glocken aus Ton und Kohle, Materialien, die seit zigtausenden Jahren in Afrika verwendet werden, um Kälte wie Wärme zu speichern und da man die Dinger bei 35 Grad im Schatten anfassen konnte, war der Effekt erfühlbar. So geht intelligentes Ausstellungsdesign.Im Verhältnis regelrecht oppulent bespielt war der deutsche Pavillon, man hatte einen Raum zur Wärmekammer umgestaltet, bei der man als Begehende die zukünftigen Temperaturen in unseren Städten am eigenen Leib erfahren konnte, dazu gab es geschmackvolle Statistiken an die Wand projiziert und die übliche Space Age Music. Viel Infotafel brauchte man nicht, um die Message zu verstehen, aber dass sich Deutschland als einzige Nation selbstverleugnend den Tafeltext in der Landessprache spart und nur in italienisch und englisch erklärt ist.. keine Ahnung was es ist.. bekloppt? Dabei sprach im Pavillon ein jeder deutsch, wie gefühlt auf der ganzen Biennale die Hälfte. Macht das Publikum zur Kunstbiennale einen auf Bohème, trifft sich zur Architekturbiennale stabil die deutsche Mittelschicht mit Papa im mittleren Management, Mutti irgendwas Soziales und den obligatorischen zwei Teenagertöchtern am Handy. Das andere Besuchermodell war der geschiedene Vater ohne Sorgerecht, der, obwohl gerade entlassen, weil AI (nein, weil er zu oft Montags gefehlt), das noch für sich behält und die ETFs angezapft hat, um den 14-jährigen Sohn drei Tage durch Venedig zu schleifen, wobei er vergeblich versucht, mit ihm per Mansplaining zu bonden. Der Balg rennt mit neutraler Miene hinterm Papa her und nickt und versucht verstohlen, mit den Teenagerinnen in Blickkontakt zu kommen. Das funktioniert leider gar nicht, denn die riechen den Odor des Verlierer-Vaters am Sohn. Bitter.Raus aus diesen deprimierenden Bienalegärten also. Gehen wir ins Arsenale, dem zweiten großen Ausstellungskomplex in den ehemaligen Schiffswerften der Stadt. Hier wird richtiges Geld verbraten und man sieht es. Zunächst geht es wieder durch einen Raum, der uns zeigen soll, wie sich Erderwärmung anfühlt. Wir haben es verstanden. Danach zeigt die Biennale, wie man Ausstellung macht. Nicht nach Ländern geordnet wie in den Kunstjahren wird hier alles gemixt und gematcht, derer man international habhaft werden kann, so dass die Qualität der Objekte unter der Quantität manchmal leidet. Das Thema ist immer noch "Irgendwas mit AI und Umwelt" und hier wird zum Glück größtenteils nicht versucht, Kunst zu machen, sondern Information zu vermitteln. Mit der Proliferation von Beamern und Flachbildschirmen ist das ein leicht anstrengendes Multimediaspektakel, bis man bemerkt, dass zwischen all dem Geflimmer immer gleich und doch leicht unterschiedlich aussehender "Krempel" steht. Nun: Die Erfindung und Kommodifizierung des 3-D-Druckers ermöglicht, eine solche Ausstellung in unvorstellbarer Geschwindigkeit mit mehr oder weniger passenden Objekten vollzukacken. Der 3-D-Drucker ist der neue Flachbildschirm. Was Architekten früher in mühevoller Klebearbeit hergestellt haben, macht jetzt der Printer und es ist meist nicht wirklich hilfreich.Ansonsten gibt es Tafeln, Filme, Installationen mit Ideen, wie man die Welt besser machen kann, die aber, so mein Gefühl, zu 90% die Welt nicht retten werden, da sie nicht skalieren. Den wohl größten Beitrag zum Umweltschutz leistet die 2025er Biennale mit dem Feature, die langen Ausstellungstexte, die, machen wir uns ehrlich, zu großen Teilen mit Hilfe von AI erzeugt wurden, wiederum mithilfe von AI auf einen Absatz zusammenzufassen und diesen unter den ausführlichen Text zu drucken. Ich hab die Zusammenfassungen letztes Jahr noch umweltschädigend selbst per Handyfoto und ChatGPT erzeugt, das sollte Schule machen!Damit so eine Bienale auch ästhetisch packt, zeigen uns eingesprengelt große Architekturbüros in teuren 3D-Animationen zum Beispiel wie man "organisch" Holzhäuser in den Jungle bauen könnte, ohne diesen zu beschädigen, das sieht dann aus wie Avatar in grün und keiner kommt auf die Idee zu fragen, warum man irgendwelche Scheiß-Häuser in den Jungle bauen sollte. Irgendwie hat man das Gefühl, dass das alles die Hobbyprojekte überbezahlter Architekten sind, die kein einziges Problem lösen außer dem der eigenen Steuererklärung, denn natürlich kann man diese Ausgaben ganz prima gegen den Gewinn der Agentur rechnen.Die tollen Objekte kommen fast immer aus überraschenden Ecken, Holzschnitzer aus Buthan teilen sich eine riesige traditionelle Schnitzarbeit mit einem Roboter (der natürlich "AI" genannt wird) und man steigt um das 10x10 Meter große Ding und rätselt, was schnitzte Mensch, was Maschine.Oder das Objekt "Calculating Empires", eine Timeline interdisziplinärer Entwicklungen der letzten 500 Jahre in einem parallelen Zeitstrahl, begehbar auf dreißig Metern.Diese Grafik gibt es hochauflösend und zum reinzoomen auf einer Website und die ist jetzt gebookmarked, denn wie Entdeckungen und technische Entwicklungen zusammenhängen, habe ich selten begreifbarer gesehen, es schärft aus der Perspektive der Vergangenheit den Blick für die Gegenwart und so fällt einem dann beim abschließenden Besuch des Hong-Konger Pavillion auf, dass dort Bücher über Architektur ausliegen. Richtige Bücher. Über die Architektur Pekings.Willkommen in 2025. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit lobundverriss.substack.com
TRACKLIST: 01 - Andrea Tomei - With You 02 - Micky More & Andy Tee, Don Carlos & Taka Boom - The Music Of Your Mind (Groove Culture Mix) 03 - Luppi Clarke - Higher 04 - Mohtiv - Make It Smooth 05 - David Penn - Rollerball 06 - Muzzaik, Stadiumx - Turbo 07 - Rag'n'Bone Man & Max Chapman & Mischief - Whisper 08 - Richard Grey - Cumbia Cienaguera (Funky Tribal House) 09 - Ferreck Dawn & Hayley May - Deep Inside 10 - Micky More & Andy Tee, Kathy Brown & Sheree Hicks - Celebrate 11 - Mambana, Low Steppa - Felicidad (Low Steppa Remix) 12 - Roger Sanchez, Park & Sons feat Julie McKnight - This Feeling (Junior Sanchez Dub) 13 - Paul Johnson - Baby (Mercer Rework) 14 - Qubiko - Moving On 15 - Eric Sneo - Tanz Der Familie 2009 (Remix 2009) #luppiclarke #djluppiclarke #HBFam #housemusic #house
THE EPSTEIN ORIGIN STORY, GERRYMANDERING, AMERICA'S MAYOR & NUCLEAR CATASTROPHE We start with “America's Mayor,” HEIDI LAMPERT of Waldport, Oregon. We then meet the dastardly Jeffrey Epstein as presented by the great DR. BOB FITRAKIS, who broke the first stories about Epstein's financial roots in Central Ohio. Long-time activist JOHN STEINER raises the specter of gerrymandering and how we must fight it. KPFA mainstay DON GOLDMACHER raises the issue of re-districting California to match the gerrymandering in Texas and other warped “rotten boroughs.". “Policy is the answer” says HEIDI V as she conjures a movement to defeat fascism. From Texas we hear ALICE EMBREE fill in many of the blanks the Lone Star fight over the manipulation of who will control the US House. Long-time writer/activist THORNE DREYER founder of “The Rag” in Houston & Austin's best left radio station shows us his great new “Notes from the Underground.” Energy expert KEVIN KAMPS confirms that the South Texas Nuke Plant did freeze in the big Lodestar Storm, resulting in dozens of deaths. The details of the Texas energy fiasco during the Big Freeze are supplied by MYLA RESON. We remember the great DAN HIRSCH who powerfully and effectively fought nukes through his whole life & has sadly just passed on. From Michigan we get from ROGER RAPOPORT the inside scoop on the insane proposed restart of the Palisades atomic reactor, versus a self-financed green transition. From southern Ohio we hear from VINA COLLEY about the killing power of uranium enrichment.
This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview hereJames Phoenix - Co-Author of "Prompt Engineering for Generative AI"Mike Taylor - Co-Author of "Prompt Engineering for Generative AI"Phil Winder - Author of "Reinforcement Learning" & CEO of Winder.AIRESOURCESJameshttps://x.com/jamesaphoenix12https://www.linkedin.com/in/jamesphoenixhttps://understandingdata.comMikehttp://saxifrage.xyzhttps://twitter.com/hammer_mthttps://www.linkedin.com/in/mjt145Philhttps://twitter.com/DrPhilWinderhttps://linkedin.com/in/drphilwinderhttps://winder.aiLinkshttps://brightpool.devhttps://karpathy.aihttps://help.openai.com/en/articles/6654000https://gemini.google.comhttps://dreambooth.github.iohttps://github.com/microsoft/LoRAhttps://claude.aihttps://www.langchain.com/langgraphDESCRIPTIONLarge language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems.* Book description: © O'ReillyRECOMMENDED BOOKSJames Phoenix & Mike Taylor • Prompt Engineering for Generative AIPhil WiBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!
In this episode, we sit down with Nitin Lahoti, the Co-founder of Mobisoft, a pioneering digital product development company. Nitin shares his incredible entrepreneurial journey, from his early days in a small village to building a global tech company with a strong focus on AI and digital innovation.Discover how Mobisoft transitioned from a mobility-focused startup to a full-fledged digital engineering powerhouse, tackling complex problems in healthcare, logistics, and transportation. Nitin dives deep into the company's strategic pivot to Artificial Intelligence, discussing their work with Generative AI, RAG for knowledge retrieval, and custom AI solutions for e-commerce and research.Join us for a thought-provoking conversation on how AI is reshaping the IT industry, the future of work for developers, and crucial advice for entrepreneurs navigating the fast-changing tech landscape.YouTube Chapters:00:00 - Introduction to Nitin Lahoti, Co-founder of Mobisoft00:32 - Nitin's Journey: From a Small Village to Entrepreneurship01:50 - The Founding of Mobisoft and Focusing on Mobility02:30 - The Evolution into a Full-Stack Digital Engineering Company04:25 - Building End-to-End Products for Global Clients in Healthcare06:10 - Transitioning to a Product-Based Company in Transportation & Logistics07:20 - Solving Urban Mobility Challenges with Smart, Green Solutions09:35 - The Strategic Shift to AI: Services, Solutions, and Consulting10:30 - Building Competency in Generative AI and Solution Accelerators12:20 - Real-World AI Use Cases: Client Conversations & Opportunities13:25 - Automating E-commerce Photoshoots with Generative AI14:40 - Creating Private LLMs for Enterprise Research15:40 - Is AI Just a Marketing Gimmick? A Look at True ROI17:45 - Beyond ChatGPT: The Backend of Specialized AI Models20:25 - The Impact of Agentic AI on Developers and IT Services21:30 - How Will Companies Like TCS, Infosys, and Mobisoft Evolve?23:40 - Restructuring the Workforce in the Age of AI25:20 - The 5-Year Vision for Mobisoft and the Tech Industry27:45 - Final Advice for Entrepreneurs in the AI Era29:36 - Conclusion
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
Chris Redmond is back on The RAG for the third time and his story keeps getting better.When I first interviewed Chris in 2019, he'd just gone fully remote and was chasing a digital nomad lifestyle with no fixed office. At the time, I thought he was mad.Then COVID hit, and while the rest of the industry scrambled, Chris and his team were already built for the new world.Fast forward to now, Redholt is a retained headhunting firm running at 60 percent profit with just 8 people. Chris lives in Dubai, has transformed his health (losing 35kg in six months), and is building towards something much bigger: a business that runs without him and can one day be sold.In this episode, we cover:His unique forensic recruitment modelWhat it takes to move from lifestyle business to scalable businessThe pressure of being the only BD engine in your companyWhy personal reinvention is key to professional growthAnd how social media is helping drive both brand and client retentionWatch the episode live on my LinkedIn this Wednesday at 12 pm or catch up afterwards wherever you get your podcasts.If you're a founder thinking about long-term value and lifestyle alignment, this one's not to be missed.Watch our ten-minute video on “The most profitable way to grow your recruitment agency in 2025” here: https://hubs.ly/Q03lBpYC0Apply to be on the next RAG season here: https://hubs.ly/Q03yjlLd0 Chapters00:00 Introduction to The Rag Podcast03:23 Chris Redmond's Journey and Business Evolution10:13 Red Hole's Unique Recruitment Methodology17:56 Scalability and Future Plans for Red Hole22:02 The Impact of Moving to Dubai29:06 Personal Transformation and Health Journey50:36 The Power of Social Media in Business01:04:30 Future Vision and Exit Strategy for Red Hole__________________________________________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...
Episode 26 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 Ben Westbeech, Dames Brown, RAHH, Dave Lee, Cash Only, Audiojack & Hannah Wants, Ferreck Dawn & Hayley May, Emma B and more. Hope you enjoy. ⚡️Like the Show? Click the [Repost] ↻ button so more people can hear it!
Using AI isn't a competitive advantage anymore.
Caddebostan'da Ragıp Paşa Köşkü yapılırken çevrede çıkan dedikodular, Abdülhamit paşaları neden Kadıköy tarafına rağbet ediyordu ve başka şeyler...
Dans cet épisode, Gil Katz nous montre comment Intelsia utilise l'intelligence artificielle pour transformer des données publiques éparpillées en levier stratégique pour les entreprises. Matching d'appels d'offres, RAG sur-mesure, agents intelligents… un vrai retour aux fondamentaux : créer de la valeur, pas de la hype.
Luke Marsden, CEO and Founder, HelixML talks about Private GenAI. What is it? Why do you need it? We also discuss integration into CI/CD pipelines, the layers of a Private GenAI Stack, and why most organizations are opting for RAG over fine-tuning LLMs.SHOW: 943SHOW TRANSCRIPT: The Cloudcast #943 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW 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.[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 website[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.SHOW NOTES:HelixML websiteHelixML GitHubHelix 1.0 Announcement BlogTopic 1 - Welcome to the show Luke. Give everyone a brief intro.Topic 2 - Let's start with Priavte GenAI. What is it? Why should organizations out there consider it? Why not just use OpenAI GPT's and fine tune them?Topic 2a Follow up - Regulatory Compliance - take the opposing forces in the EU for instance to using SaaS based services based in the United States.Topic 3 - Let's break down the layers in a typical Private AI stack. I'm seen various ways to represent this such as infrastructure layer, MLOps layer, models, data layer (typically RAG), etc. How do you break up the stack into individual componentsTopic 4 - My mind immediately jumps to similarities in the DevOps space. Abstraction layers and components like Docker and containers comes to mind, integration into CI/CD pipelines, etc. I feel like MLOps is it's own thing with specific tools and workflows. Does this all come together and if so how?Topic 5 - Also, what does this mean for versioning and lifecycle management of the models and the data?Topic 6 - We are seeing more and more data pipelines with backed by multiple models, sometimes in multiple locations. How do handle this from both a scheduling and interface standpoint? Is everything hidden behind APIs for instance?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
What I've learned from 40 recruitment founder interviews in a yearThis week's episode of The RAG is a little different - it's just meAfter 40 in-person interviews across the UK, Dubai and Sydney, I wanted to take a moment to reflect on what I've learned in season 8 and what's next for the show.Here's 3 key learnings that I cover in this solo episode:Why headcount is no longer the main measure of successWhy remote teams, offshore talent and AI are shaping the future of recruitmentWhy profit is becoming more important than scale and exitIf you're a founder who's rethinking what growth really means and you want to build something profitable, sustainable and enjoyable - then this will helpWatch our ten-minute video on “The most profitable way to grow your recruitment agency in 2025” here: https://hubs.ly/Q03lBpYC0Apply to be on the next RAG season here: https://hubs.ly/Q03yjlLd0 Chapters00:00 Season Reflection and Future Plans02:48 Shifts in Recruitment Success Metrics05:44 Personal Business Transformation and Insights09:01 Profit Maximization Focus for Future Seasons11:43 Engagement and Community Building__________________________________________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...
Episode: 3321 Scott Joplin persevered in creating Ragtime music as a black musician in post-Civil War America. . Today, Joplin and Ragtime.
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
We chat with Jennifer Reif about integrating LLMs with data using RAG, vectorized data, and Graph databases.Discuss this episode: discord.gg/XVKD2uPKyF
1 - Swing Out, Uncle Wilson - The Three Peppers – 19382 - Down T' Uncle Bill's - Chick Bullock with Todd Rollins and his Orchestra - 19343 - Uncle Eph's Dream - Skeets Tolbert and his Gentlemen of Swing – 19414 - I Got an Uncle in Harlem - Hot Lips Page - 19495 - We All Love Uncle Joe - Fred Harrison6 - How's Your Uncle - The High Steppers - 19317 - When Uncle Joe Plays a Rag on His Old Banjo - Arthur Collins – 19128 - Uncle Bud - Billy Jones with Tampa Blue Jazz Band - 19219 - Uncle Bud - Erskine Hawkins (The Twentieth Century Gabriel) and his Orchestra – 194110 - Uncle George - Herb Greggerson with Slim and his Country Cousins11 - Aunt Patsy - Prince's Band – 191612 - Uncle Harry - Noel Coward - 195513 - Shout 'Em Aunt Tillie - Duke Ellington and his Orchestra – 193014 - The Little Brown Suit My Uncle Bought Me - Sgt. "Ace" Goodrich - 194315 - He's My Uncle - Rose Blane with Abe Lyman and his Californians – 194016 - Bop's Your Uncle - George Shearing – 1948
ChatGPT Agent is here!↳ What the heck is it? ↳ How does it work? ↳ What do you need to know? Glad you asked, shorties. Join us for the answers. Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today.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 Agent Mode Overview & NamingLive ChatGPT Agent Demo WalkthroughChatGPT Agent Mode Availability & PricingOperator vs. Deep Research Capabilities ExplainedChatGPT Agent Virtual Computer FunctionsSpreadsheet and PowerPoint Generation in ChatGPTMini RAG-Ready Agents with Data ConnectorsChatGPT Agent Security and Biological Risk ClassificationTimestamps:00:00 "Introducing ChatGPT Agent"03:41 Potential Delay for Paid Plan Rollout09:24 "Chat GPT Agent: New Tools Overview"12:44 OpenAI-Microsoft Tensions Over Software Overlap16:42 "ChatGPT's New RAG Feature Unveiled"21:55 AI Agent with Weapon Risk23:31 Agent Models: Boon or Bane?29:05 "Agent Mode: Seamless Editing Integration"Keywords:ChatGPT Agent, Agent Mode, OpenAI, virtual computer, Agentic skills, Operator, Deep Research, browsing websites, web research, synthesizing information, Microsoft competitor, PowerPoint creation, Excel spreadsheet creation, terminal access, public API integration, connectors, data analysis, image generation, multi-agent environments, retrieval augmented generation, mini RAG, AI operating system, human-in-the-loop, security concerns, biology classifier, biological weapons classification, chemical weapons classification, O3 model, Google Gemini 2.5 Pro, agentic models, AI workflows, editable slide deck, Microsoft Office alternative, AI-powered presentations, spreadsheet automation, cloud-based agents, AI task automation, calendar integration, Gmail connector, Google Drive connector, Outlook connector, team collaboration, premium AI features, desktop to browser transition, file creation, terminal commands, workflow automationSend 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
What if your company had a digital brain that never forgot, always knew the answer, and could instantly tap the knowledge of your best engineers, even after they left? Superintelligence can feel like a hand‑wavy pipe‑dream— yet, as Misha Laskin argues, it becomes a tractable engineering problem once you scope it to the enterprise level. Former DeepMind researcher Laskin is betting on an oracle‑like AI that grasps every repo, Jira ticket and hallway aside as deeply as your principal engineer—and he's building it at Reflection AI.In this wide‑ranging conversation, Misha explains why coding is the fastest on‑ramp to superintelligence, how “organizational” beats “general” when real work is on the line, and why today's retrieval‑augmented generation (RAG) feels like “exploring a jungle with a flashlight.” He walks us through Asimov, Reflection's newly unveiled code‑research agent that fuses long‑context search, team‑wide memory and multi‑agent planning so developers spend less time spelunking for context and more time shipping.We also rewind his unlikely journey—from physics prodigy in a Manhattan‑Project desert town, to Berkeley's AI crucible, to leading RLHF for Google Gemini—before he left big‑lab comfort to chase a sharper vision of enterprise super‑intelligence. Along the way: the four breakthroughs that unlocked modern AI, why capital efficiency still matters in the GPU arms‑race, and how small teams can lure top talent away from nine‑figure offers.If you're curious about the next phase of AI agents, the future of developer tooling, or the gritty realities of scaling a frontier‑level startup—this episode is your blueprint.Reflection AIWebsite - https://reflection.aiLinkedIn - https://www.linkedin.com/company/reflectionaiMisha LaskinLinkedIn - https://www.linkedin.com/in/mishalaskinX/Twitter - https://x.com/mishalaskinFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro (01:42) Reflection AI: Company Origins and Mission (04:14) Making Superintelligence Concrete (06:04) Superintelligence vs. AGI: Why the Goalposts Moved (07:55) Organizational Superintelligence as an Oracle (12:05) Coding as the Shortcut: Hands, Legs & Brain for AI (16:00) Building the Context Engine (20:55) Capturing Tribal Knowledge in Organizations (26:31) Introducing Asimov: A Deep Code Research Agent (28:44) Team-Wide Memory: Preserving Institutional Knowledge (33:07) Multi-Agent Design for Deep Code Understanding (34:48) Data Retrieval and Integration in Asimov (38:13) Enterprise-Ready: VPC and On-Prem Deployments (39:41) Reinforcement Learning in Asimov's Development (41:04) Misha's Journey: From Physics to AI (42:06) Growing Up in a Science-Driven Desert Town (53:03) Building General Agents at DeepMind (56:57) Founding Reflection AI After DeepMind (58:54) Product-Driven Superintelligence: Why It Matters (01:02:22) The State of Autonomous Coding Agents (01:04:26) What's Next for Reflection AI
Saoud Rizwan and Pash from Cline joined us to talk about why fast apply models got bitter lesson'd, how they pioneered the plan + act paradigm for coding, and why non-technical people use IDEs to do marketing and generate slides. Full writeup: https://www.latent.space/p/cline X: https://x.com/latentspacepod Chapters: 00:00 - Introductions 01:35 - Plan and Act Paradigm 05:37 - Model Evaluation and Early Development of Cline 08:14 - Use Cases of Cline Beyond Coding 09:09 - Why Cline is a VS Code Extension and Not a Fork 12:07 - Economic Value of Programming Agents 16:07 - Early Adoption for MCPs 19:35 - Local vs Remote MCP Servers 22:10 - Anthropic's Role in MCP Registry 22:49 - Most Popular MCPs and Their Use Cases 25:26 - Challenges and Future of MCP Monetization 27:32 - Security and Trust Issues with MCPs 28:56 - Alternative History Without MCP 29:43 - Market Positioning of Coding Agents and IDE Integration Matrix 32:57 - Visibility and Autonomy in Coding Agents 35:21 - Evolving Definition of Complexity in Programming Tasks 38:16 - Forks of Cline and Open Source Regrets 40:07 - Simplicity vs Complexity in Agent Design 46:33 - How Fast Apply Got Bitter Lesson'd 49:12 - Cline's Business Model and Bring-Your-Own-API-Key Approach 54:18 - Integration with OpenRouter and Enterprise Infrastructure 55:32 - Impact of Declining Model Costs 57:48 - Background Agents and Multi-Agent Systems 1:00:42 - Vision and Multi-Modalities 1:01:07 - State of Context Engineering 1:07:37 - Memory Systems in Coding Agents 1:10:14 - Standardizing Rules Files Across Agent Tools 1:11:16 - Cline's Personality and Anthropomorphization 1:12:55 - Hiring at Cline and Team Culture Chapters 00:00:00 Introduction and Guest Intros 00:00:29 What is Klein? Product Overview 00:01:42 Plan and Act Paradigm 00:05:22 Model Evolution and Building Klein 00:07:40 Beyond Coding: Klein as a General Agent 00:09:12 Why Focus on VS Code Extension? 00:11:26 The Future of Programming and Agentic Paradigm 00:12:34 Economic Value: Programming vs. Other Use Cases 00:16:04 MCP Ecosystem: Growth and Marketplace 00:21:30 Security, Discoverability, and Trust in MCPs 00:22:55 Popular MCPs and Workflow Automation 00:25:30 Monetization and Payments for MCPs 00:37:53 Competition, Forks, and Open Source Philosophy 00:40:39 RAG, Fast Apply, and Agentic Simplicity 00:50:11 Business Model and Enterprise Adoption 00:57:04 Background Agents, Multi-Agent Systems, and CLI 01:00:41 Context Engineering and Memory 01:12:39 Team, Culture, and Closing Thoughts
The poem I read at the beginning called Crying For A Vision at Ghost Ranch will be part of a new collection called Where Do Dreams Come From? The poem that Simon reads is A Man Lost By A River by Michael Blumenthal from the anthology, The Rag and Bone Shop of the Heart, edited by Robert Bly, James Hillman, and Michael Meade. The poem Ben reads is one of his own and it is called We Need Artists Today. If you want to know more about the Male Journey - the Men's work we have all been involved in go to https://www.malejourney.org.uk/ With massive thanks to Ben and Simon. Here is Ben's - Poet Facebook Page https://www.facebook.com/BenBurnsPoet/ Here is Simon's Agent's page https://hatchtalent.co.uk/actors/simon-bubb/
Would you walk away from recurring revenue to chase a bigger opportunity overseas?On this week's episode of The RAG Podcast, I'm joined by Jamie Trevett, founder of Just Construction. Jamie was last on the show in 2022 when his UK construction recruitment firm had 25 staff and a growing contract book.Fast forward to today and Jamie has completely transformed the business. He shut down the contract side in the UK and relocated the company's focus to the US market, where he now runs a similarly sized team doing 95% of their work stateside.In this episode, we discuss:Why he made the bold decision to leave the UK market behindThe operational and cultural shifts required to succeed in the USHow time zones and remote management work across continentsThe growing influence of AI on recruitment deliveryWhat the future could look like for Just Construction, including a potential saleIf you're thinking about scaling into the US or questioning how to futureproof your business in a changing market, you'll get real insight from this one.Chapters00:00 Introduction to Jamie Trevett and Just Construction02:59 Transitioning from the UK to the US Market05:56 Challenges in the UK Construction Recruitment Market08:49 Shutting Down the Contract Side of the Business12:07 Building a Stronger Focus on Permanent Recruitment14:57 Navigating Time Zones and Work Arrangements17:53 Strategies for Expanding into the US Market21:04 The Impact of AI on Recruitment23:43 Future Plans and Potential Sale of the Business__________________________________________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...
Software Engineering Radio - The Podcast for Professional Software Developers
Jacob Visovatti and Conner Goodrum of Deepgram speak with host Kanchan Shringi about testing ML models for enterprise use and why it's critical for product reliability and quality. They discuss the challenges of testing machine learning models in enterprise environments, especially in foundational AI contexts. The conversation particularly highlights the differences in testing needs between companies that build ML models from scratch and those that rely on existing infrastructure. Jacob and Conner describe how testing is more complex in ML systems due to unstructured inputs, varied data distribution, and real-time use cases, in contrast to traditional software testing frameworks such as the testing pyramid. To address the difficulty of ensuring LLM quality, they advocate for iterative feedback loops, robust observability, and production-like testing environments. Both guests underscore that testing and quality assurance are interdisciplinary efforts that involve data scientists, ML engineers, software engineers, and product managers. Finally, this episode touches on the importance of synthetic data generation, fuzz testing, automated retraining pipelines, and responsible model deployment—especially when handling sensitive or regulated enterprise data. Brought to you by IEEE Computer Society and IEEE Software magazine.
Send us a textIn this episode we interview Dave Davies, Senior SEO expert and AI strategist at Weights & Biases, a leading AI tool manufacturer.What you'll learn in this episode:How generative engines are transforming SEO, content strategy, and attribution modelsTactical SEO differences between Bing and Google in a generative-first search eraWhy agents and retrieval-augmented generation (RAG) will shift buyer behaviorPractical content formatting tips that help LLMs surface your work fasterWhen and how to write for humans versus writing for generative systemsHow to prepare for the agent-to-agent protocol revolution and structured data indexingWhy CCbot (common crawl) access is essential to your visibility in AI models
In this episode, I share how I built SteveBot, a custom AI assistant powered by a RAG database that mimics every lesson that I’ve ever taught. I break down the tech stack, the biggest mistakes made, and how this changes the classes I teach. What You’ll Learn How I built my AI Bot from my course, blog, and podcast The cool tech that makes it all work seamlessly Tips to create your own AI-powered project easily Sponsors SellersSummit.com – The Sellers Summit is the ecommerce conference that I’ve run for the past 8 years. It’s small and intimate and you’ll […] The post 598: I Turned My Course, Blog, And Podcast Into An AI Bot – Here's The Tech Behind It appeared first on MyWifeQuitHerJob.com.
Listen now: Spotify, Apple and YouTubeWhat if you had a personalized AI toolkit—not just a chatbot—that actually remembered your projects, your workflows, and even your family's preferences?In this episode, Marc and Ben sit down with Mike Bal, a product leader experimenting at the frontier of AI tooling. Mike shares how he built a local memory system for Claude using Model Context Protocols (MCPs), enabling persistent knowledge graphs that connect everything from his product designs to his family's vacation plans. They walk through how it works—step-by-step—including a live demo of Fleur (essentially a mini app marketplace to make it easy for non technical people to add MCPs to Claude), how Mike structures entities and relationships, and why this setup beats traditional RAG approaches for real-world usage.If you've ever wanted your AI to truly understand you and the work you do—or you're curious how a product leader uses AI to streamline everything from design reviews to family logistics—this episode is packed with real-world inspiration and actionable examples.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox
Ari Paparo and Eric Franchi speak with Adam Epstein, co-founder and CEO of Gigi, an AI assistant focused on automating tasks within the Amazon DSP. Adam shares how the product evolved from a streaming TV tool to a broader AI-powered platform for media agencies. He discusses the challenges of training a vertical AI agent using retrieval-augmented generation (RAG), the reasoning behind a chat-based interface, and how agencies are integrating their own processes into Gigi. The conversation also touches on the potential impact of agentic AI on agency workflows and team structures. Learn more about your ad choices. Visit megaphone.fm/adchoices
ALEATORIO RANDOM PROJECT 030 1- WHAT DO YOU BELIEVE IN? – RAG´N´BONE MAN 2- NO PENSAR NUNCA EN LA MUERTE – MAYTE MARTIN 3- THE BLUEST BLUES – ALVIN LEE 4- TIFLA ANDALUSIYA – AMSTERDAM ANDALUSIAN ORCHESTRA 5- COMO EL AGUA – CAMARON DE LA ISLA & PACO DE LUCIA 6- YO ME QUEDO EN SEVILLA – PATA NEGRA 7- HOMESICK – ATLANTA RHYTHM SECTION 8- LOUISIANA ZYDECO – CLARENCE GATEMOUTH BROWN 9- EVIL WOMAN – ELECTRIC LIGHT ORCHESTRA 10- YOU CAN´T ALWAYS GET WHAT YOU WANT – THE ROLLING STONES 11- I HEARD IT THROUGH THE GRAPEVINE – MARVIN GAYE 12- BASIT 1º MOUVEMENT TUSHIYA – ORCHESTRE AL BRIHI DE FES 13- THE PATH – CONCEP NEUF 14- ¿??
What's the point in building a business if you lose everything at home?On this week's episode of The RAG Podcast, I'm joined by Matt Tyson, founder of Knockout Consulting and former owner of two successful payroll companies.Matt has achieved what many founders dream of—two life-changing exits in 15 years. But behind the success was a personal cost he never expected. In his pursuit of business growth, he lost sight of the very reason he started—his family.In this deeply honest conversation, we discuss:How Matt built and exited two payroll businessesThe pressure of selling a company during uncertain timesWhat he'd do differently to protect his marriage and mental healthWhy emotional balance matters just as much as financial goalsStrategies for building a business that doesn't cost you everything elseIf you're a founder chasing an exit or deep in growth mode, this is a powerful reminder to check in on what really matters.Chapters00:00 Introduction to Growth and Balance02:52 Matt Tyson's Journey and Business Philosophy06:03 Transition from Banking to Payroll09:08 Building and Exiting Businesses12:01 The Importance of Compliance and Contractor Welfare14:54 Navigating Business Growth and Personal Life17:47 The Emotional Impact of Business Success20:54 The Role of Family and Support Systems23:49 Establishing Walker Smith and Growth Strategies27:01 Innovations in Contractor Support29:41 The Journey of Building a Group of Businesses32:56 Recognizing Personal Struggles and Changes35:48 Reflections on Work-Life Balance38:43 Conclusion and Lessons Learned42:43 Navigating Business Exits During Uncertain Times45:38 The Importance of Financial Control and Cost Management49:27 Identity and Purpose After Selling a Business50:39 The Emotional Impact of Business Transitions56:52 Lessons Learned from Personal Relationships and Business01:00:44 Finding Balance: Work, Life, and Personal Fulfillment01:09:29 Key Strategies for Business Growth and Exit Planning__________________________________________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:...
Selam Fularsızlar. Bugün iki film birden. İlk kısımda mantık bulmacaları, içgörü problemleri, Apple'ın "düşünme illüzyonu" makalesi, ve insan ile makinaların akıl yürütmelerinin kıyası var. İkinci kısımsa aylar önce devamını getirmek istediğim bir konu: Deepseek'in getirdiği teknik yenilikler, Nvidia'nın neden bu kadar önemli olduğu ve Stargate Projesi. Umarım hepiniz iyisinizdir. . Yeni Kitap: Fularsız Felsefe: Dört Önemli Mesele . Konular: (00:04) Kurtlar, kuzular, otlar (02:12) Tıkandım (04:30) Akıl yürütme modelleri (06:19) Köprü ve meşale problemi (08:38) İçgörü (09:57) Dokuz nokta problemi (11:36) ChatGPT'nin gaslighting modu (13:37) Akıl yürütmek mi hatırlamak mı (14:45) ARC: Sınav için çalışmak (16:00) Apple: Düşünme İllüzyonu (17:05) Hanoi Kulesi (20:35) Recursion (23:13) Düşünürmüş gibi yapmak (26:30) Korelasyon makinaları (29:40) Eureka (32:09) Bonus: Deepseek (34:34) Mixture of Experts (38:14) Medyanın hataları (41:34) 5.5 milyon dolar (43:23) NVIDIA ne iş yapar (47:16) Stargate Projesi (48:35) RAG ve ajanlar (50:26) Son . Kaynaklar: Makale (PDF): The Illusion of Thinking Yazı: ChatGPT and the wolf, goat and cabbage problem Yazı: History of the Nine Dot Problem South Park: Chinpokomon (S3, E11) Yazı: Mixture of Experts Video: Visualizing transformers and attention Video: How DeepSeek Rewrote the Transformer ARC-AGI-2 Leaderboard ------- Podbee Sunar ------- Bu podcast, On Dijital Bankacılık hakkında reklam içerir. Bankacılık On'la Rahat. Dünya Döndükçe EFT-Havale- Fast Ücreti Yok. ON Mobil'i _ndir! Bu podcast, Pegasus hakkında reklam içerir. Yeni seyahat rotanı planlamak için hemen https://www.flypgs.com/ 'u veya Pegasus Mobil uygulamasını ziyaret et! Bu podcast, Garanti BBVA hakkında reklam içerir.
In this episode of The Retail Pilot, we sit down with Molly Howard, cofounder and CEO of La Ligne, the beloved fashion brand known for its effortless aesthetic, powerful storytelling, and slow burn sustainable success. Molly shares her fascinating path from private equity and investment banking at Credit Suisse to working at Rag & Bone and ultimately launching La Ligne with former Vogue editors Meredith Melling and Valerie Macaulay.You'll hear how her finance background uniquely shaped the brand's business model, why La Ligne prioritized profitability over hype, and how her cofounder chemistry laid the foundation for trust and longevity. Molly also opens up about navigating tariffs, scaling e-commerce thoughtfully, and the turning point that made her realize they needed to “drop product like a magazine” to keep customers returning weekly.Whether you're a founder, fashion lover, or just obsessed with good retail strategy, this is a must-listen conversation filled with lessons in leadership, resilience, and intuition.Show Notes:• Molly's unexpected journey from Credit Suisse to the fashion industry• The early days at Rag & Bone and the deal that flipped her role from banker to brand-side strategist• How a boat ride in Hawaii turned into a cofounder pitch• The vision behind La Ligne's name and how they built a brand rooted in non-fussy French minimalism• Why La Ligne raised under $4 million and how they've remained profitable ever since• The benefit of launching without institutional investors• Dividing responsibilities among three cofounders and why “three is easier than two”• Building a direct-to-consumer first model with mindful wholesale partnerships like Net-a-Porter and Shopbop• The challenges and creativity that came from growing without an early e-commerce hire• Influencer marketing, ShopMy, and keeping authenticity at the center• The La Drop strategy and why weekly product releases became key to customer loyalty• Facing down supply chain shocks and rising tariffs while keeping the brand nimble• The joy of physical retail and Molly's passion for designing store spaces• Denim, menswear, and collaborations as La Ligne's next frontiers• Rapid fire: Molly's favorite brands, best advice received, go-to pieces, and the Tupac class that shaped her thinkingLike what you hear?Follow The Retail Pilot and leave us a review. Share this episode with a friend who loves fashion or dreams of launching their own brand. You can also tag us on Instagram with your takeaways—we'd love to hear what inspired you.Hosted by Ausha. See ausha.co/privacy-policy for more information.
Ross joins Will Critchlow of SearchPilot for a wide-ranging conversation on the evolving landscape of e-commerce SEO and content strategy in the AI era. They cover how e-commerce brands are adapting content for multimodal search, why digital PR is surging, what still works in a zero-click world, and how Siege's homepage study reveals surprising traffic shifts from AI engines like ChatGPT and Google's AI Overviews. Ross also shares lessons from working with Instacart, thoughts on EEAT, brand building in 2025, and how SEOs can think more like product teams to win long-term. Plus: goal-setting, basketball, and how to build your perfect calendar. Show Notes 0:08 – Introductions 1:00 – Ross on what e-commerce clients are asking for in 2025 2:12 – High-fidelity content and why it still drives SEO value 3:24 – The digital PR spike—and why it might not be right for every brand 4:17 – Rethinking link building: content that earns links without outreach 5:11 – The shift from link bait to real brand-building campaigns 6:34 – Why measuring content value is still messy 7:28 – Investing in analytics and attribution models that actually work 8:52 – Instacart case study: how it's still winning in 2025 9:59 – Calculators as a defensible content type against AI overviews 11:15 – Homepage traffic is up 10%—what Siege's study found 12:56 – Differences in B2B vs B2C AI traffic attribution 14:15 – How AI referrals may go dark: no referrer, just branded visits 15:40 – SearchPilot's view: aggregating dark and disaggregated traffic sources 17:20 – How LM-driven browsing creates long tail referral lift 18:57 – AI is doing the searching: optimizing for “robot” queries 21:00 – Why retrieval-augmented generation (RAG) matters for e-commerce 22:44 – Digital PR's role in influencing AI citation engines 23:51 – Siege's brand mention study: impressions up, but who's watching? 25:20 – Review volume = the next big SEO edge in e-commerce 26:04 – Instacart's product reviews may be helping SEO more than you think 27:15 – Human authorship: should you expose expert bylines? 28:52 – Where author signals matter most 30:04 – Real-world reviews are the new long tail content strategy 31:09 – Who's doing it well? 32:14 – Brand authority, SEO signals, and Siege's convo with Dr. Pete 33:48 – Building a brand health dashboard (and what to track in 2025) 36:18 – Who owns content? SEO increasingly embedded in product teams 37:40 – Product SEO as a mindset, not just a technical checklist 39:24 – Optimizer mentality, health goals, and personal systems 40:11 – Ross's “perfect calendar” and how it supports business goals 42:06 – Will on process goals vs outcome goals in business and life 43:44 – Can you be too optimized? Balancing mental health and iteration 45:07 – Long-term vision in a 3-week world 46:00 – Where to find Ross online and what Siege is working on next Show Links Will Critchlow on LinkedIn: https://www.linkedin.com/in/willcritchlow Homepage Study: https://www.siegemedia.com/strategy/ai-homepage-traffic-increase SearchPilot: https://www.searchpilot.com/Subscribe today for weekly tips: https://bit.ly/3dBM61f Listen on iTunes: https://podcasts.apple.com/us/podcast/content-and-conversation-seo-tips-from-siege-media/id1289467174 Listen on Spotify: https://open.spotify.com/show/1kiaFGXO5UcT2qXVRuXjsM Listen on Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zaW1wbGVjYXN0LmNvbS9jT3NjUkdLeA Follow Siege on Twitter: http://twitter.com/siegemedia Follow Ross on Twitter: http://twitter.com/rosshudgens Directed by Cara Brown: https://twitter.com/cararbrown Email Ross: ross@siegemedia.com #seo | #contentmarketing
Why most recruitment businesses fail to attract top-tier leadership talentOn this week's episode of The RAG Podcast, I'm joined by Dan Grim, founder of Inside Recruitment.With 25 years in the industry and two previous equity partnerships under his belt, Dan now runs a solo rec-to-rec firm helping recruitment businesses hire the kind of leadership talent that drives real scale.In this episode, Dan explains:Why most founders can't attract true A playersThe key traits and expectations that top 10% performers are looking forWhy having a clear shareholder agreement matters more than you thinkHow personal struggles shape better leadership decisionsWhat a good general manager or MD actually enables in a recruitment firmIf you're thinking about stepping back from the day-to-day or need someone to drive your next phase of growth, this is essential listening.Chapters00:00 Introduction to The Rag Podcast and Dan Grimm02:36 Dan Grimm's Journey in Recruitment09:52 Transitioning from Recruitment to Business Leadership18:35 The Importance of Values in Business25:57 Understanding Roles and Responsibilities in Business31:26 Navigating Business Partnerships and Agreements38:10 Personal Challenges and Career Resilience40:21 Navigating Expat Life and Family Dynamics43:11 Career Transitions and the Role of Networking47:13 Challenges of Leadership and Personal Struggles51:25 Reflections on Career Choices and Business Dynamics55:07 The Importance of Self-Reflection in Leadership59:44 Building a Business: Insights and Strategies01:05:47 Finding the Right Fit: Recruitment and Company Culture01:10:17 The Value of Retaining Top Talent01:15:23 Final Thoughts on Leadership and Business Growth__________________________________________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/
Douwe Kiela, Founder and CEO of Contextual AI, discusses why RAG isn't obsolete despite massive context windows, explaining how RAG 2.0 represents a fundamental shift to treating retrieval-augmented generation as an end-to-end trainable system. Subscribe to the Gradient Flow Newsletter
Tanmai Gopal, CEO and Co-Founder at Hasura, discusses the importance of reliability and trustworthiness for both generative and agentic AI. We discuss the pitfalls in existing data pipelines and how to enhance the results.SHOW: 931SHOW TRANSCRIPT: The Cloudcast #931 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:[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.[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:Hasura websiteHasura GitHubTopic 1 - Welcome to the show, Tanmai. Give everyone a quick introduction.Topic 2 - Our topic today is Reliable and Trustworthy AI Agents. First off, what's the problem we're solving for here (define reliability and trustworthiness)? Are we solving for hallucinations? Reliability? Connecting private and Enterprise data to models with fine-tuning or RAG?Topic 3 - How is reliability or trustworthiness measured? I would imagine this isn't black and white, but maybe a bit more subjective?Topic 4 - How do Agentic and GenAI differ, if at all, with this model? I would think that since Gen AI lends itself more to the creative side and Agent AI is very deterministic, the approaches to solving the problem might be different. Thoughts?Topic 5 - Let's talk about data pipelines. Today, many organizations take an off-the-shelf frontier or foundational model and then apply a RAG pipeline to it for customization. Sometimes fine-tuning is involved, but in my experience, this is the exception rather than the rule. What is wrong with that architecture today? How is this less reliable?Topic 6 - Let's talk about Hasura and PromptQL. As I understand it, you are decoupling query planning from execution, thereby creating a more deterministic AI workflow. Now… that's a mouthful. Can you break down what this means and explain how the architecture differs?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
One of the most immediate and high-impact applications of LLMs has been in software development. The models can significantly accelerate code writing, but with that increased velocity comes a greater need for thoughtful, scalable approaches to codereview. Integrating AI into the development workflow requires rethinking how to ensure quality,security, and maintainability at scale. CodeRabbit is The post CodeRabbit and RAG for Code Review with Harjot Gill appeared first on Software Engineering Daily.
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