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SPONSORS:Lucy- Get 20% off your first order when you buy online with code HONEYDEW at lucy.coRag & Bones-Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code HONEYDEW at www.rag-bone.comMy HoneyDew this week is musician Richard Marx! Check out Richard's new album After Hours, out now where you stream music. Richard joins me this week to Highlight the Lowlights of his journey in the music industry! We touch on what it was like to come up in music, to then watch your kids grow up and follow the same path into the family business. Richard opens up about the loss of his father, the final words he left him with, and the change it sparked in his own life. We also get into how Richard handles his life long struggle with depression, and the role that creating and performing music plays in helping him navigate it.
SHOW: 992SHOW TRANSCRIPT: The Cloudcast #992 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SHOW NOTES:Tonic.ai websiteTonic Validate Product PageTonic Validate GitHubTopic 1 - Adam, welcome to the show. Give everyone a brief introduction.Topic 2: Our topic today is RAG systems, specifically RAG in production. Let's start with customization sources and types. When it comes to customizing off-the-shelf LLMs, RAG is one option, as is an MCP connection to a SQL database, and there is pre- and post-training, as well as fine-tuning. How does an organization decide what path is best for customization?Topic 3 - RAG came on the scene as the savior for organizations that want to use customer AI without the need for fine-tuning and additional training. It has either gone through or is currently still in the trough of disillusionment. What are your thoughts on RAG's evolution and the challenges it faces?Topic 4 - Let's walk through the basics of validation. Once you set up RAG, how would an organization know it works? How is accuracy measured and validated? Are you looking for hallucinations? Context quality?Topic 5 - What is Tonic Validate, and where does it fit into this stack? Is it in band? Out of band? Built into the CI workflow?Topic 6 - Accuracy is one aspect, but we hear more and more about ROI for Enterprises. How should ROI, risk, and compliance be measured?Topic 7 - Where and how does security fit into all of this? Also, your thoughts on synthetic data for training vs. real data?Topic 8 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Baris Gultekin, VP of AI at Snowflake, explains how “bringing AI to the data” is reshaping enterprise AI deployment under strict security and governance requirements. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. He shares the importance of bringing AI directly to governed enterprise data, advances in text-to-SQL and semantic modeling, and why high-quality retrieval is foundational for trustworthy AI agents. Baris also dives into Snowflake's approach to agentic AI, including Snowflake Intelligence, model choice and cost tradeoffs, and why governance, security, and open standards are essential as AI becomes accessible to every business user. LINKS: AWS' Automated Reasoning checks Sponsors: MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive MATS: MATS is a fully funded 12-week research program pairing rising talent with top mentors in AI alignment, interpretability, security, and governance. Apply for the next cohort at https://matsprogram.org/s26-tcr Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (03:02) Snowflake 101 and AI (09:25) Text-to-SQL and semantics (19:10) RAG, embeddings and models (Part 1) (19:17) Sponsors: MongoDB | Serval (21:02) RAG, embeddings and models (Part 2) (32:23) Bringing models to data (Part 1) (32:29) Sponsors: MATS | Tasklet (35:29) Bringing models to data (Part 2) (51:14) Designing enterprise AI agents (58:35) Trust, governance and guardrails (01:07:14) Agents and future work (01:15:33) Platforms, competition and value (01:26:04) Enterprise models and outlook (01:40:00) Outro PRODUCED BY: https://aipodcast.ing
Pete Watson: 22 years as a solo Rec2Rec in Australia (and why he'd never do it again)Pete Watson is the longest-serving boots-on-the-ground Rec2Rec in Australia.22 years running Mint R2R. Thousands of placements. A recognisable name across the entire Australian recruitment market.But 18 months ago, he was at the gym when he asked himself one question:"Would I do it all again?"His answer was immediate: "A fast no."Not because he failed. But because of what success actually cost him."Even though people look at 22 years as a business owner and go 'that's amazing, congratulations' - it's been brutal. It's been lonely. It's been isolating. It has not been good for mental health."So that afternoon, he knocked up a logo on Canva and launched Recruitment United.Within a week, 70 agency owners joined a WhatsApp group.Within four months, 500.Today, there are 330 subscribing members accessing weekly training, mate rates discounts, and a proper community of peers.This week on The RAG Podcast, Pete tells the full story.We cover:Why 22 years as a solo Rec2Rec nearly broke him mentallyThe gym moment that changed everythingHow he built a 500-member community in four months with zero planWhy the majority of his members have no intention of scalingThe rise of lifestyle businesses over exit strategiesNavigating divorce, becoming a stepdad, and buying back his family home13 years alcohol-free and why he finally started talking about itThis isn't about building an empire.It's about a founder who realised that isolated recruitment success was killing him—and built something to solve that for himself and others!If you've ever felt lonely as a solo founder, or wondered whether there's another way to build, this episode is for you.__________________________________________Episode Sponsor: AtlasAdmin is a massive waste of time. That's why there's Atlas, the AI-first recruitment platform built for modern agencies.It doesn't only track CVs and calls. It remembers everything. Every email, every interview, every conversation. Instantly searchable, always available. And now, it's entering a whole new era.With Atlas 2.0, you can ask anything and it delivers. With Magic Search, you speak and it listens. It finds the right candidates using real conversations, not simply look for keywords.Atlas 2.0 also makes business development easier than ever. With Opportunities, you can track, manage and grow client relationships, powered by generative AI and built right into your workflow.Need insights? Custom dashboards give you total visibility over your pipeline. And that's not theory. Atlas customers have reported up to 41% EBITDA growth and an 85% increase in monthly billings after adopting the platform.No admin. No silos. No lost info. Nothing but faster shortlists, better hires and more time to focus on what actually drives revenue.Atlas is your personal AI partner for modern recruiting.Don't miss the future of recruitment. Get started with Atlas today and unlock your exclusive RAG listener offer at https://recruitwithatlas.com/therag/__________________________________________Episode Sponsor:...
It's a new year of R Weekly Highlights! In this episode we learn of the positive intellectual diversity impacting R and Python communities, a great starting point to create your first RAG-powered knowledge store, and a new package enters the Shiny ecosystem that is certainly not tiny in its ambitions.Episode Links This week's curator: Eric Nantz: @rpodcast@podcastindex.social (Mastodon) & @rpodcast.bsky.social (BlueSky) & @theRcast (X/Twitter)R + Python: From polyglot to pluralism: A very targeted recap on posit::conf(2025) and a broader reflection on how the best design and devtools ideas from R and python have influenced each others' stacks for the betterRetrieval-Augmented Generation: Setting up a Knowledge Store in R{tinyshinyserver} 0.1.0: Tiny 'shiny' Server - Lightweight Multi-App 'shiny' ProxyEntire issue available at rweekly.org/2026-W03Supplement Resourcestinyshinyserver GitHub repository: https://github.com/lab1702/tinyshinyserverYann Tourman's R Weekly episode length analysis https://bsky.app/profile/yannco.bsky.social/post/3mbarm75kik2jSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.A new way to think about value: https://value4value.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)Mike Thomas: @mike_thomas@fosstodon.org (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) Music credits powered by OCRemixWe're the Fugawe Forest - Legend of Zelda: A Link to the Past - XPRTNovice feat. Weisty - https://ocremix.org/remix/OCR03597Zelda's Graceful Nightmare - 25YEARLEGEND: A Legend of Zelda Indie Game Composer Tribute - Matheus Manente - https://zelda25.ocremix.org/index.html
David Schatz talks about his discovery of Rag genes that are critical for antigen receptor development and how that discovery depended on taking high risks and using approaches that everyone thought could never work. Host: Cindy Leifer Guest: David Schatz Subscribe (free): Apple Podcasts, RSS, email Become a patron of Immune! Links for this episode MicrobeTV Discord Server Transfer of recombinase activity in non-lymphoid cells (Cell 1988) Identification of the RAG-1 gene (Cell 1989) Evolution of a recombinase (Semin Immunol 2004) Time stamps by Jolene Ramsey. Thanks! Music by Tatami. Logo image by Blausen Medical Send your immunology questions and comments to immune@microbe.tv Information on this podcast should not be construed as medical advice.
The guys kick things off with some rapid-fire news, including Tsitsipas' outfit in Adelaide, the Sinner vs. Alcaraz exhibition, and Milos Raonic's retirement.They then break down the recent tournaments in Brisbane, Hong Kong, and the United Cup, along with a quick recap of the Battle of the Sexes. To close things out, they spin a Wheel featuring players ranked 40–100 to decide which player they're unofficially sponsoring for the year.Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code [NOTHINGMAJOR] at www.rag-bone.com #ragandbonepod00:00 Introduction and Episode Overview01:12 Sam in New Zealand03:09 Fashion Critique and Red Carpet Highlights05:37 Sinner Alcaraz exhibition07:39 Milos Raonic's Retirement09:46 United Cup Recap a13:15 Brisbane Tournament Results15:06 Medvedev's Unique Winning Streak17:16 Aesthetically Pleasing Tennis Games20:48 Hong Kong Tournament Results24:15 Battle of the Sexes Debate26:11 Curious Case of Wild Cards27:17 Retirement Tours and Wild Cards29:42 Wheel of Fate 37:11 Future Segment Ideas
Most organizations are sitting on mountains of documents, PDFs, emails, and images they still cannot fully search, organize, or understand.In this episode of IT Visionaries, host Chris Brandt sits down with Tim McIntire, CTO of Hyland, to unpack why unstructured data is still one of the biggest blockers between AI hype and real results. Tim breaks down why so many companies struggle to access the content they already have and what it really takes to make that information usable, trustworthy, and valuable.From building content that is ready for AI to unlocking new context-aware agents and improving governance and transparency, Tim explains how leading organizations are finally turning everyday content into real business impact and why the future of enterprise AI starts with cleaning up what is already in the basement. Key Moments:02:36 - What Hyland Actually Does04:18 - Why 80% of Enterprise Data Is Unusable06:46 - From 30,000 Manual Indexes to Automation07:47 - Vectorization: Making Documents AI-Ready09:45 - The ROI of Eliminating Mundane Work10:55 - AI vs RPA: Why Intelligence Changes Everything13:23 - Federate Don't Migrate: Meeting Customers Where They Are16:29 - Governance Can't Be an Afterthought18:11 - The Explainability Breakthrough20:10 - Day 1 to Day 90: Faster Time to Value22:56 - Enterprise Agent Mesh Explained24:06 - Context Engineering: The New AI Superpower26:36 - Confidence Scores: When Humans Step In28:12 - Right Model for the Right Job31:00 - The 18-Month Prediction: Agents Everywhere -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
I'm joined today by fan favorite author Lee Morgan to discuss his newest work, The Rag and Bone Man. This book has a 'head, heart, and hands' component that looks at the Victorian Age and Spiritualism and its relationship with witchcraft, from a research angle, from a creative writing angle, and finally from a practical grimoire one.Rag & Bone Man by Lee MorganWho comes meandering along your street in the dawn hours. He's looking for old things that still have a bit of fat left in them, including off-cuts of the dreams of outsiders. If you decide to stop and talk to him, he will tell you the old tales of how to tease out the teeming world of spirits that bulges behind our reality. The Rag & Bone Man's uncanny narrative, bookended with historical context and a grimoire inspired by the novel, bridges the gap between old ideas and new paradigms with a watchful eye focused on historical biases.Find the book and Lee:The Rag & Bone Man: https://www.crossedcrowbooks.com/shop-crossed-crow-books/p/the-rag-bone-man Website: https://www.leemorganbooks.com/Patreon: https://www.patreon.com/c/u19417687
You still using AI to..... write emails?
In this episode of The Effortless Podcast, Amit Prakash and Dheeraj Pandey are joined by Alex Dimakis for a wide-ranging, systems-first discussion on the future of long-horizon AI agents that can operate over time, learn from feedback, adapt to users, and function reliably inside real-world environments.The conversation spans research and industry, unpacking why prompt engineering alone collapses at scale; how advisor models, reward-driven learning, and environment-based evaluation enable continual improvement without retraining frontier models; and why memory in AI systems is as much about forgetting as it is about recall. Drawing from distributed systems, reinforcement learning, and cognitive science, the trio explores how personalization, benchmarks, and context engineering are becoming the foundation of AI-native software.Alex, Dheeraj, and Amit also examine the evolution from SFT to RL to JEPA-style world models, the role of harnesses and benchmarks in measuring real progress, and why enterprise AI has moved decisively from research into engineering. The result is a candid, deeply technical conversation about what it will actually take to move beyond demos and build agents that work over long horizons.Key Topics & Timestamps 00:00 – Introduction, context, and holiday catch-up04:00 – Teaching in the age of AI and why cognitive “exercise” still matters08:00 – Industry sentiment: fear, trust, and skepticism around LLMs12:00 – Memory in AI systems: documents, transcripts, and limits of recall17:00 – Why forgetting is a feature, not a bug22:00 – Advisor models and dynamic prompt augmentation27:00 – Data vs metadata: control planes vs data planes in AI systems32:00 – Personalization, rewards, and learning user preferences implicitly37:00 – Why prompt-only workflows break down at scale41:00 – RAG, advice, and moving beyond retrieval-centric systems46:00 – Long-horizon agents and the limits of reflection-based prompting51:00 – Environments, rewards, and agent-centric evaluation56:00 – From Q&A benchmarks to agents that act in the world1:01:00 – Terminal Bench, harnesses, and measuring real agent progress1:06:00 – Frontier labs, open source, and the pace of change1:11:00 – Context engineering as infrastructure (“the train tracks” analogy)1:16:00 – Organizing agents: permissions, visibility, and enterprise structure1:20:00 – SFT vs RL: imitation first, reinforcement last1:25:00 – Anti-fragility, trial-and-error, and unsolved problems in continual learning1:28:00 – Closing reflections on the future of long-horizon AI agentsHosts:Amit PrakashCEO & Founder at AmpUp, Former engineer at Google AdSense and Microsoft Bing, with deep expertise in distributed systems, data platforms, and machine learning.Dheeraj PandeyCo-founder & CEO at DevRev, Former Co-founder & CEO of Nutanix. A systems thinker and product visionary focused on AI, software architecture, and the future of work.Guest:Alex DimakisAlex Dimakis is a Professor in UC Berkeley in the EECS department. He received his Ph.D. from UC Berkeley and the Diploma degree from NTU in Athens, Greece. He has published more than 150 papers and received several awards including the James Massey Award, NSF Career, a Google research award, the UC Berkeley Eli Jury dissertation award, and several best paper awards. He is an IEEE Fellow for contributions to distributed coding and learning. His research interests include Generative AI, Information Theory and Machine Learning. He co-founded Bespoke Labs, a startup focusing on data curation for specialized agents.Follow the Hosts and the Guest: Dheeraj Pandey:LinkedIn - https://www.linkedin.com/in/dpandeyTwitter - https://x.com/dheerajAmit Prakash:LinkedIn - https://www.linkedin.com/in/amit-prak...Twitter - https://x.com/amitp42Alex Dimakis:LinkedIn - https://www.linkedin.com/in/alex-dima...Twitter - https://x.com/AlexGDimakis Share Your Thoughts Have questions, comments, or ideas for future episodes?
From investing through the modern data stack era (DBT, Fivetran, and the analytics explosion) to now investing at the frontier of AI infrastructure and applications at Amplify Partners, Sarah Catanzaro has spent years at the intersection of data, compute, and intelligence—watching categories emerge, merge, and occasionally disappoint. We caught up with Sarah live at NeurIPS 2025 to dig into the state of AI startups heading into 2026: why $100M+ seed rounds with no near-term roadmap are now the norm (and why that terrifies her), what the DBT-Fivetran merger really signals about the modern data stack (spoiler: it's not dead, just ready for IPO), how frontier labs are using DBT and Fivetran to manage training data and agent analytics at scale, why data catalogs failed as standalone products but might succeed as metadata services for agents, the consumerization of AI and why personalization (memory, continual learning, K-factor) is the 2026 unlock for retention and growth, why she thinks RL environments are a fad and real-world logs beat synthetic clones every time, and her thesis for the most exciting AI startups: companies that marry hard research problems (RAG, rule-following, continual learning) with killer applications that were simply impossible before. We discuss: The DBT-Fivetran merger: not the death of the modern data stack, but a path to IPO scale (targeting $600M+ combined revenue) and a signal that both companies were already winning their categories How frontier labs use data infrastructure: DBT and Fivetran for training data curation, agent analytics, and managing increasingly complex interactions—plus the rise of transactional databases (RocksDB) and efficient data loading (Vortex) for GPU-bound workloads Why data catalogs failed: built for humans when they should have been built for machines, focused on discoverability when the real opportunity was governance, and ultimately subsumed as features inside Snowflake, DBT, and Fivetran The $100M+ seed phenomenon: raising massive rounds at billion-dollar valuations with no 6-month roadmap, seven-day decision windows, and founders optimizing for signal ("we're a unicorn") over partnership or dilution discipline Why world models are overhyped but underspecified: three competing definitions, unclear generalization across use cases (video games ≠ robotics ≠ autonomous driving), and a research problem masquerading as a product category The 2026 theme: consumerization of AI via personalization—memory management, continual learning, and solving retention/churn by making products learn skills, preferences, and adapt as the world changes (not just storing facts in cursor rules) Why RL environments are a fad: labs are paying 7–8 figures for synthetic clones when real-world logs, traces, and user activity (à la Cursor) are richer, cheaper, and more generalizable Sarah's investment thesis: research-driven applications that solve hard technical problems (RAG for Harvey, rule-following for Sierra, continual learning for the next killer app) and unlock experiences that were impossible before Infrastructure bets: memory, continual learning, stateful inference, and the systems challenges of loading/unloading personalized weights at scale Why K-factor and growth fundamentals matter again: AI felt magical in 2023–2024, but as the magic fades, retention and virality are back—and most AI founders have never heard of K-factor — Sarah Catanzaro X: https://x.com/sarahcat21 Amplify Partners: https://amplifypartners.com/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction: Sarah Catanzaro's Journey from Data to AI 00:01:02 The DBT-Fivetran Merger: Not the End of the Modern Data Stack 00:05:26 Data Catalogs and What Went Wrong 00:08:16 Data Infrastructure at AI Labs: Surprising Insights 00:10:13 The Crazy Funding Environment of 2024-2025 00:17:18 World Models: Hype, Confusion, and Market Potential 00:18:59 Memory Management and Continual Learning: The Next Frontier 00:23:27 Agent Environments: Just a Fad? 00:25:48 The Perfect AI Startup: Research Meets Application 00:28:02 Closing Thoughts and Where to Find Sarah
James and Frank unwrap 2025 as the Year of AI Development, covering new models, the rise of agents, and editor integrations like Copilot in VS Code that changed how developers write and maintain code. You'll hear practical takeaways—how next-edit, local models, RAG/vectorization and app‑on‑demand sped prototyping, slashed maintenance time, and why the hosts think the AI boom has legs into 2026 despite looming uncertainty. Follow Us Frank: Twitter, Blog, GitHub James: Twitter, Blog, GitHub Merge Conflict: Twitter, Facebook, Website, Chat on Discord Music : Amethyst Seer - Citrine by Adventureface ⭐⭐ Review Us (https://itunes.apple.com/us/podcast/merge-conflict/id1133064277?mt=2&ls=1) ⭐⭐ Machine transcription available on http://mergeconflict.fm
Grab this project to learn the basics of RAG and working with agents https://www.parsity.io/ai-with-rag2025 was one of the most confusing years to be a software developer.We were told AI would replace us.Then we were told it would make us 10× more productive.Neither actually happened — but the hype affected careers, hiring, education, and mental health in real ways.In this episode, I break down the 5 worst tech trends of 2025, based on what I saw firsthand as a working engineer and bootcamp owner — layoffs that never stopped, juniors getting squeezed out, AI being used as a crutch, the collapse of coding bootcamps, and the biggest lie in tech: the AI productivity myth.Then we flip the script.I also cover the best trends that quietly emerged and how I'm personally planning to take advantage of them going into 2026 — from AI agents and coding tools that actually help, to why generalist engineers and system-level thinking are winning again.If you're:A junior developer trying to break inA senior wondering how AI really affects your careerOr just tired of LinkedIn hype and doom headlinesNo magic prompts. No fake roadmaps. Just reality — and a practical way forward.Send us a textShameless Plugs Free 5 day email course to go from HTML to AI Got a question you want answered on the pod? Drop it here Apply for 1 of 12 spots at Parsity - Learn to build complex software, work with LLMs and launch your career. AI Bootcamp (NEW) - for software developers who want to be the expert on their team when it comes to integrating AI into web applications.
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Oliver Heldens, Becky Hill - Gecko (Overdrive) (Record Mix) 57. Weiss, Harry Romero - Where Do We Go (Record Mix) 58. DJ Snake, Bipolar Sunshine - Paradise (Record Mix) 59. DJ Kuba, Neitan, Bounce Inc. - Watch Out (Record Mix) 60. Hugel, Topic, Arash, Daecolm - I Adore You (Record Mix) 61. Crazibiza - Fresh (Record Mix) 62. R3hab, Inna, Sash! - Rock My Body (Record Mix) 63. Jerome Robins, Karsten Sollors - Don't Stop The Music (Record Mix) 64. Sean Paul, Odd Mob - Get Busy 65. Gamuel Sori, Lovespeake, Amice - Us (Record Mix) 66. Kddk, Alex Alta - 1&2 (Record Mix) 67. Fast Boy, Raf, Amice - Wave (Record Mix) 68. Felix, Charlotte Haining, Switch Disco - I Found You (Record Mix) 69. Camelphat, Elderbrook - Cola (Record Mix) 70. Tiesto, Sneaky Sound System, Wolfgang Gartner - I Will Be Here (Record Mix) 71. John Summit - La Danza (Record Mix) 72. Avalan Rokston, Alex Caspian - Something to Believe In (Record Mix) 73. Pete Tong, Roro, Jules Buckley, The Essential Orchest - Rhythm Of The Night (Record Mix) 74. Oliver Heldens, Ian Asher, Sergio Mendes - Mas Que Nada 75. Duke Dumont - Won't Look Back (Record Mix) 76. Akcent, Sera, Misha Miller - Don't Leave (Kylie) (Record Mix) 77. Relanium, Deen West - Leel Lost (Record Mix) 78. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 79. Alle Farben - Bad Ideas (Record Mix) 80. Sakko, Jibaro - Carnival (Record Mix) 81. Argy, Omiki - WIND (Record Mix) 82. Oceana, Bodybangers - Endless Summer (Record Mix) 83. Zerb, Sofiya Nzau - Mwaki (Record Mix) 84. Ava Max - Don't Click Play (Record Mix) 85. Darude, Glazur, Xm - Sandstorm (Record Mix) 86. Prospa, Josh Baker, Rahh - You Don't Own Me 87. Max Oazo - Gimme! Gimme! Gimme! (Record Mix) 88. Hugel, Ultra Nate - Free (You Got To Live) (Record Mix) 89. Noizu - Summer 91 (Looking Back) (Record Mix) 90. Titov - Philosophy (Record Mix) 91. Nicky Romero, Barmuda - Fade Away 92. Filatov & Karas - Au Au (Record Mix) 93. Alesso, Sacha - Destiny (Record Mix) 94. Roland Clark, Mark Knight, James Hurr - Get Deep 95. Marc Korn, Danny Suko, Heart Fx - Every Breath You Take (Record Mix) 96. Jonas Blue, Malive - Edge of Desire (Record Mix) 97. Killteq, D.hash, Vallhee - I Like It (Record Mix) 98. Imanbek, Sofia Reyes, Luisa Sonza - NOT U (Record Mix) 99. J Balvin, Willy William, Gonsu, Jenia Smile, Ser Twist - Mi Gente (Record Mix) 100. Alok, Ella Eyre, Kenny Dope, Never Dull - Deep Down (Record Mix) 101. Avicii - Wake Me Up (Record Mix) 102. Sevdaliza, Yseult, Pabllo Vittar, Tiesto - Alibi (Record Mix) 103. Klaas - The Way (Record Mix) 104. Mirko Donnini - Thinking of You (Record Mix) 105. Sonny Fodera, D.o.d, Poppy Baskcomb - Think About Us (Record Mix) 106. Dubdogz, Zerky - Sun Goes Down (Sound Of Violence) (Record Mix) 107. Teriyaki Boyz, Hayat - Tokyo Drift (Record Mix) 108. Amor - Tell Me (Record Mix) 109. Faros - Say It Right (Record Mix) 110. Lost Frequencies, Dimaro - Are You With Me (Record Mix) 111. Lufthaus, Sophie Ellis-bextor - Immortal (Record Mix) 112. R3hab, Mufasa, Rani - Believe (Record Mix) 113. Zhu - In the Morning! (Record Mix) 114. Afrojack, Aloe Blacc - In My World (Record Mix) 115. Otnicka - Celebrate the Love (Record Mix) 116. Shouse, Cub Sport - Only You (Record Mix) 117. Cassian, Yotto, Da Hool - Love Parade (Record Mix) 118. Twocolors, Safri Duo, Chris De Sarandy - Head Above Water (Record Mix) 119. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 120. Don Diablo, R3hab, Neeka - Disco Marathon 121. Filatov & Karas - Time Won't Wait (Record Mix) 122. Calvin Harris, Rag'n'bone Man - Giant (Record Mix) 123. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 124. Block & Crown, Lissat - Ocean Cake (Record Mix) 125. DJ Antonio, Drama Heroes, DJ Chris Parker, Tomyam - Space (Record Mix) 126. Sean Finn - Give It to Me (Record Mix) 127. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 128. Demi Lovato - Fast (Record Mix) 129. Alexander Popov, Whiteout, Vaileri - Need to Feel Loved (Record Mix) 130. Arei, DJ Lev - Du Hast (Record Mix) 131. Zerb, The Chainsmokers, Ink - Addicted (Record Mix) 132. James Hype, Kim Petras - Drums (Record Mix) 133. Robin Schulz, David Guetta - On Repeat (Record Mix) 134. Gorgon City, Romans - Saving My Life (Record Mix) 135. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 136. Lana Del Rey, Kevin Blanc - Young & Beautiful (Record Mix) 137. Aize, Sasha - Waiting for Tonight (Record Mix) 138. Galantis - Runaway (U & I) (Record Mix) 139. Argy, Omnya - Aria (Record Mix) 140. Fast Boy, Topic - Forget You (Record Mix) 141. Felix Jaehn, Sarah Barrios - Now's A Good Time To Be (Record Mix) 142. Alok, Jess Glynne - Summer's Back (Record Mix) 143. Ian Carey, Michelle Shellers, Manyfew, Joe Stone - Keep On Rising (Record Mix)
Rey Ortega, a software engineer with over 25 years of experience and founder of Grata Software, reveals how entrepreneurs can use AI to scale smarter and faster. Drawing from his surprising journey from Nashville recording studios (working sessions with Tim McGraw) to becoming an AI pioneer, Rey breaks down how to leverage different models like Claude, ChatGPT, and Grok while emphasizing why human expertise remains essential. Rey also shares how he adapted the Perfect Webinar framework to win major B2B contracts, including the University of Central Florida, by structuring presentations around customer questions instead of cookie-cutter offers. Listeners discover the truth about how AI models work, the power of RAG systems, why most entrepreneurs fail not in operations but in customer acquisition, and actionable tools from his free AI course for finding clients and building automated systems without losing the human touch. https://go.gratasoftware.com Get 3 months of ClickFunnels for only $99 at the link below, that's an 83% discount to get started! https://www.clickfunnels.com/cfradio
Collide AI 2025 Wrapped Part 1 turns into a real talk on why forward deployed engineers win where AI pilots stall, with Michael Cortez, John, and Nick Smart swapping war stories from completions, geophysics, and the startup trenches while they map out how Collide Enterprise moves past basic chat tools into search plus workflows that actually hold up in the real world.Click here to watch a video of this episode.Join the conversation shaping the future of energy.Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.Apply today at collide.ioClick here to view the episode transcript. 00:00 Setup and intros 00:45 Michael's path and joining Collide 01:59 Nick's background and role shift 03:08 Collide Enterprise vs community 04:16 Search, RAG, and workflow evolution 06:31 Why out of the box AI falls short 08:41 Time savings and real work focus 11:39 Single source of truth vision 13:16 Small teams scaling bigger assets 17:18 AI adoption vs past tech hype 19:26 Digital transformation missing link 20:20 Why FDEs make pilots work 23:36 Biggest learnings this year 31:52 What's next in 2026 38:57 Bold predictions for 3 to 5 years 47:37 Fine tuned models teaser and wraphttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcattershttps://app.collide.io/content/RprbJAD
As the year draws to a close, the Dev Interrupted team reflects on a transformative year in engineering spanning the rise of RAG and vector databases to the emergence of agentic workflows. For the first time, we're taking the conversation out of the booth and into the IDE. Head over to the Dev Interrupted YouTube channel to watch the team vibe code custom holiday cards and close out the year with some chaotic creativity.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
TestTalks | Automation Awesomeness | Helping YOU Succeed with Test Automation
AI is transforming how software is built, but testing AI systems requires an entirely new mindset. Don't miss AutomationGuild 2026 - Register Now: https://testguild.me/podag26 Use code TestGuildPod20 to get 20% off your ticket. In this episode, Joe Colantonio sits down with Imran Ali to break down what AI testing really looks like when you're dealing with LLMs, RAG pipelines, and autonomous QA workflows. You'll learn: Why traditional pass/fail testing breaks down with LLMs How to test non-deterministic AI outputs for consistency and accuracy Practical techniques for detecting hallucinations, grounding issues, and prompt injection risks How RAG systems change the way testers validate AI-powered applications Where AI delivers quick wins today—and where human validation still matters This conversation goes beyond hype and gets into real-world AI testing strategies QA teams are using right now to keep up with AI-generated code, faster release cycles, and DevOps velocity. If you're a tester, automation engineer, or QA leader wondering how AI changes your role,not replaces it,this episode is your roadmap.
In This Episode of Business Lunch, we unpack why the real power in AI isn't the model itself—but the protocols wrapped around it. Even advanced AI systems still get things wrong 15–20% of the time, which makes unchecked automation a serious business risk. The winners aren't chasing smarter models; they're building structured decision systems that catch errors, manage leverage, and define when humans step in.We explore how companies use tools like RAG and multi-layer “triple-check” frameworks to dramatically reduce AI error rates, why stabilizing decision-making must come before accelerating it, and how operating leverage—done right—can either amplify profits or protect downside. The big takeaway: well-designed AI protocols are becoming a new form of intellectual property, increasing predictability, transferability, and valuation by creating true founder-independent businesses.In short, the future advantage isn't faster AI—it's better thinking systems.Connect with me on social:TikTok: Check out my TikTok HereInstagram: Check out my Instagram HereFacebook: Check out my Facebook HereLinkedIn: Check out my LinkedIn HereSubscribe to my YouTube
This year-end live show features nine rapid-fire conversations to make sense of AI's 2025 and what might define 2026. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. Zvi Moshowitz maps the OpenAI–Anthropic–Google race, the denialism gap, and why his PDoom is still ~60–70%. Greg (ARC-AGI Prize), Eugenia Kuyda, Ali Behrouz, Logan Kirkpatrick, and Jungwon Hwang cover sample-efficient benchmarks and ARC-AGI 3, companions and human-flourishing metrics, continual-learning memory, Gemini 3 Flash for developers, and AI for scientific decisions. Sponsors: Gemini 3 in Google AI Studio: Gemini 3 in Google AI Studio lets you build fully functional apps from a simple description—no coding required. Start vibe coding your idea today at https://ai.studio/build MATS: MATS is a fully funded 12-week research program pairing rising talent with top mentors in AI alignment, interpretability, security, and governance. Apply for the next cohort at https://matsprogram.org/s26-tcr Framer: Framer is the all-in-one tool to design, iterate, and publish stunning websites with powerful AI features. Start creating for free and use code COGNITIVE to get one free month of Framer Pro at https://framer.com/design Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) Sponsor: Gemini 3 in Google AI Studio (00:31) Live show experiment (02:26) Zvi: discourse and denial (13:28) Continual learning and doom (22:05) ArcAGI: what's missing (Part 1) (22:09) Sponsors: MATS | Framer (25:28) ArcAGI: what's missing (Part 2) (31:58) Scaffolds and tiny models (38:58) ArcAGI 3 game worlds (45:13) AI companions landscape (Part 1) (45:21) Sponsors: Shopify | Tasklet (48:29) AI companions landscape (Part 2) (58:14) Wabi apps and caution (01:08:16) Nested learning, layered memory (01:23:14) Gemini 3 Flash launch (01:34:09) RAG, agents, dev advice (01:42:20) Elicit speeds evidence synthesis (01:57:57) Outro PRODUCED BY: https://aipodcast.ing
Gemini 3 was a landmark frontier model launch in AI this year — but the story behind its performance isn't just about adding more compute. In this episode, I sit down with Sebastian Bourgeaud, a pre-training lead for Gemini 3 at Google DeepMind and co-author of the seminal RETRO paper. In his first-ever podcast interview, Sebastian takes us inside the lab mindset behind Google's most powerful model — what actually changed, and why the real work today is no longer “training a model,” but building a full system.We unpack the “secret recipe” idea — the notion that big leaps come from better pre-training and better post-training — and use it to explore a deeper shift in the industry: moving from an “infinite data” era to a data-limited regime, where curation, proxies, and measurement matter as much as web-scale volume. Sebastian explains why scaling laws aren't dead, but evolving, why evals have become one of the hardest and most underrated problems (including benchmark contamination), and why frontier research is increasingly a full-stack discipline that spans data, infrastructure, and engineering as much as algorithms.From the intuition behind Deep Think, to the rise (and risks) of synthetic data loops, to the future of long-context and retrieval, this is a technical deep dive into the physics of frontier AI. We also get into continual learning — what it would take for models to keep updating with new knowledge over time, whether via tools, expanding context, or new training paradigms — and what that implies for where foundation models are headed next. If you want a grounded view of pre-training in late 2025 beyond the marketing layer, this conversation is a blueprint.Google DeepMindWebsite - https://deepmind.googleX/Twitter - https://x.com/GoogleDeepMindSebastian BorgeaudLinkedIn - https://www.linkedin.com/in/sebastian-borgeaud-8648a5aa/X/Twitter - https://x.com/borgeaud_sFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)Blog - https://mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) – Cold intro: “We're ahead of schedule” + AI is now a system(00:58) – Oriol's “secret recipe”: better pre- + post-training(02:09) – Why AI progress still isn't slowing down(03:04) – Are models actually getting smarter?(04:36) – Two–three years out: what changes first?(06:34) – AI doing AI research: faster, not automated(07:45) – Frontier labs: same playbook or different bets?(10:19) – Post-transformers: will a disruption happen?(10:51) – DeepMind's advantage: research × engineering × infra(12:26) – What a Gemini 3 pre-training lead actually does(13:59) – From Europe to Cambridge to DeepMind(18:06) – Why he left RL for real-world data(20:05) – From Gopher to Chinchilla to RETRO (and why it matters)(20:28) – “Research taste”: integrate or slow everyone down(23:00) – Fixes vs moonshots: how they balance the pipeline(24:37) – Research vs product pressure (and org structure)(26:24) – Gemini 3 under the hood: MoE in plain English(28:30) – Native multimodality: the hidden costs(30:03) – Scaling laws aren't dead (but scale isn't everything)(33:07) – Synthetic data: powerful, dangerous(35:00) – Reasoning traces: what he can't say (and why)(37:18) – Long context + attention: what's next(38:40) – Retrieval vs RAG vs long context(41:49) – The real boss fight: evals (and contamination)(42:28) – Alignment: pre-training vs post-training(43:32) – Deep Think + agents + “vibe coding”(46:34) – Continual learning: updating models over time(49:35) – Advice for researchers + founders(53:35) – “No end in sight” for progress + closing
Back in the day, everything was recorded on tape. Tape is deteriorating, and some people are trying to restore old recordings before they crumble. Help support The Next Track by making regular donations via Patreon (https://www.patreon.com/thenexttrack). We're ad-free and self-sustaining so your support is what keeps us going. Thanks! Show notes The ‘Race Against Time' to Save Music Legends' Decaying Tapes (https://www.nytimes.com/2025/12/01/arts/music/iron-mountain-audio-tape-preservation.html?unlocked_article_code=1.5k8.0fv0.uB189zBaKzZZ&smid=nytcore-ios-share) Rag paper - Wikipedia (https://en.wikipedia.org/wiki/Rag_paper) Compact Cassette tape types and formulations - Wikipedia (https://en.wikipedia.org/wiki/Compact_Cassette_tape_types_and_formulations) The Bootleg Series Vol. 18: Through The Open Window, 1956-1963 (https://amzn.to/4sgG25A) The 50th Anniversary Collection: The Copyright Extension Collection, Volume 1 - Wikipedia (https://en.wikipedia.org/wiki/The_50th_Anniversary_Collection) Our next tracks: The Durutti Column: The Return Of The Durutti Column (https://amzn.to/48SEwh2) Zapp: Zapp (https://amzn.to/3MEeoz4) If you like the show, please subscribe in Apple Podcasts (https://itunes.apple.com/podcast/the-next-track/id1116242606) or your favorite podcast app, and please rate the podcast.
Jen Gaster: How she sold her business to her team (and kept the tax bill at zero)Jen Gaster launched HR Heads in 2008 at the height of the financial crisis with a six-month-old baby and zero income security.17 years later, she runs three brands, 22 people, and just completed an Employee Ownership Trust (EOT) transaction.Tax-free exit, 5-year payout. The employees own the business when the mortgage is paid off.One week after they completed the deal, Rachel Reeves changed the rules.EOT payments are now taxable for anyone doing it after the budget.Jen got in just in time.But here's what makes this story different.She built the business with her husband Rupert. Same office but separate brands and working processes (They've literally only attended one client meeting together in their entire lives!)This week on The RAG Podcast, Jen tells the full story.We cover:Starting a business during the 2008 financial crash with a babyWorking with your spouse without destroying your marriageWhy she admits "I don't think I'm a brilliant man manager"The EOT transaction and how they structured a tax-free exitHow Rachel Reeves' budget changed the rules one week after they completedWhy legacy mattered more than a trade saleThis isn't about building an empire.It's about a founder who wanted to reward the people who built the business with her and managed to do it without a tax bill.If you've ever wondered whether there's another way to exit, this episode has the blueprint.__________________________________________Episode Sponsor: AtlasAdmin is a massive waste of time. That's why there's Atlas, the AI-first recruitment platform built for modern agencies.It doesn't only track CVs and calls. It remembers everything. Every email, every interview, every conversation. Instantly searchable, always available. And now, it's entering a whole new era.With Atlas 2.0, you can ask anything and it delivers. With Magic Search, you speak and it listens. It finds the right candidates using real conversations, not simply look for keywords.Atlas 2.0 also makes business development easier than ever. With Opportunities, you can track, manage and grow client relationships, powered by generative AI and built right into your workflow.Need insights? Custom dashboards give you total visibility over your pipeline. And that's not theory. Atlas customers have reported up to 41% EBITDA growth and an 85% increase in monthly billings after adopting the platform.No admin. No silos. No lost info. Nothing but faster shortlists, better hires and more time to focus on what actually drives revenue.Atlas is your personal AI partner for modern recruiting.Don't miss the future of recruitment. Get started with Atlas today and unlock your exclusive RAG listener offer at https://recruitwithatlas.com/therag/__________________________________________Episode Sponsor: HoxoEvery recruitment founder is investing in LinkedIn.Spending thousands on Recruiter licences.Building connections. Posting content. Growing networks.But here's the question almost no one can answer:How much revenue is LinkedIn actually bringing into your business?Most founders have thousands of connections but no clear process to turn that attention into cash.That's the problem we solve.At Hoxo, we help recruitment founders build predictable revenue systems on LinkedIn, not just noise or vanity metrics.Our clients are turning LinkedIn into £100K–£300K in new billings within months, using their existing networks and a simple repeatable process.To show you how it works, we've created a short training video exclusively for RAG listeners.In less than 10 minutes,...
Episode SummaryThe future of cyber resilience lies at the intersection of data protection, security, and AI. In this conversation, Cohesity CEO Sanjay Poonen joins Danny Allan to explore how organisations can unlock new value by unifying these domains. Sanjay outlines Cohesity's evolution from data protection to security in the ransomware era, to today's AI-focused capabilities, and explains why the company's vast secondary data platform is becoming a foundation for next-generation analytics.Show NotesIn this episode, Sanjay Poonen shares his journey from SAP and VMware to leading Cohesity, highlighting the company's mission to protect, secure, and provide insights on the world's data. He explains the concept of the "data iceberg," where visible production data represents only a small fraction of enterprise assets, while vast amounts of "dark" secondary data remain locked in backups and archives. Poonen discusses how Cohesity is transforming this secondary data from a storage efficiency problem into a source of business intelligence using generative AI and RAG, particularly for unstructured data like documents and images.The conversation delves into the technical integration of Veritas' NetBackup data mover onto Cohesity's file system, creating a unified platform for security scanning and AI analytics. Poonen also elaborates on Cohesity's collaboration with NVIDIA, explaining how they are building AI applications like Gaia on the NVIDIA stack to enable on-premises and sovereign cloud deployments. This approach allows highly regulated industries, such as banking and the public sector, to utilize advanced AI capabilities without exposing sensitive data to public clouds.Looking toward the future, Poonen outlines Cohesity's "three acts": data protection, security (ransomware resilience), and AI-driven insights. He and Danny Allan discuss the critical importance of identity resilience, noting that in an AI-driven world, the security perimeter shifts from network boundaries to the identities of both human users and autonomous AI agents.LinksCohesityNvidiaSnyk - The Developer Security Company Follow UsOur WebsiteOur LinkedIn
В современном LLM мире очень много базвордов... один из них - RAG. Разберем подробно.Спасибо всем, кто нас слушает. Ждем Ваши комментарии.Музыка из выпуска: - https://artists.landr.com/056870627229- https://t.me/angry_programmer_screamsВесь плейлист курса "Kubernetes для DotNet разработчиков": https://www.youtube.com/playlist?list=PLbxr_aGL4q3SrrmOzzdBBsdeQ0YVR3Fc7Бесплатный открытый курс "Rust для DotNet разработчиков": https://www.youtube.com/playlist?list=PLbxr_aGL4q3S2iE00WFPNTzKAARURZW1ZShownotes: 00:00:00 Вступление00:03:00 Зачем нужен RAG?00:07:20 Что такое Embedding?00:18:00 Зачем embedding в RAG? 00:39:40 На что влияет размерность вектора?00:44:30 Собираем RAG вместеСсылки:- https://youtu.be/_HQ2H_0Ayy0?si=aQibjpqQQlvghBwZ : Классное видео от индуса - https://habr.com/ru/articles/779526/ : Не менее классная статья на хабре- https://www.manning.com/books/build-a-large-language-model-from-scratch : Книга про LLMВидео: https://youtube.com/live/RrORn5-4bu0Слушайте все выпуски: https://dotnetmore.mave.digitalYouTube: https://www.youtube.com/playlist?list=PLbxr_aGL4q3R6kfpa7Q8biS11T56cNMf5Twitch: https://www.twitch.tv/dotnetmoreОбсуждайте:- Telegram: https://t.me/dotnetmore_chatСледите за новостями:– Twitter: https://twitter.com/dotnetmore– Telegram channel: https://t.me/dotnetmoreCopyright: https://creativecommons.org/licenses/by-sa/4.0/
In this explosive episode, Johnny sits down with Aaron Peila — a former multi-state Oxy distributor who survived five brutal years inside USP Victorville, one of the deadliest federal prisons in America. From running a massive opioid pipeline across Nevada, Utah, Idaho, Alaska, and the Pacific Northwest to navigating the violent racial politics of high-security federal lockup, Aaron pulls no punches as he breaks down his story in raw, unfiltered detail. Aaron explains how he built an oxy empire during the height of the opioid boom, how pills flowed through dirty doctors and retirement communities, and why markets like Alaska were paying exorbitant prices. He also opens up about the corruption inside the Bureau of Prisons, the influx of contraband phones after COVID, and what it really takes to survive in a place where everyone has a weapon and people get stabbed regularly. From music-industry ambitions and touring with rap artists…to DEA pressures, federal enhancements, snitches, RICO fears, and the three overdose deaths that nearly put him away for life… to trying to rebuild a life after 14 years inside a system designed to break you — this is one of the most gripping redemption-arc interviews we've ever had. If you want a real look into the American opioid era and the prison machine that chews up everyone involved, this episode is it. Go Support Aaron! Clothing Brand: https://cceapparel.creator-spring.com/ IG: https://www.instagram.com/aaronpeila/ TikTok: https://www.tiktok.com/@peilaroni This Episode Is #Sponsored By The Following: Hims! To get simple, online access to personalized, affordable care for ED, Hair Loss, Weight Loss, and more, visit https://hims.com/CONNECT Rag & Bone! Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code CONNECT at www.rag-bone.com #ragandbonepod Join The Patreon For Bonus Content! https://www.patreon.com/theconnectshow 00:00 Intro: Aaron Peila's Story 01:22 Life Lessons From Prison 02:47 Reentering Society and Social Changes 03:47 Prison During COVID: Corruption & Phones 06:06 Prison Gangs & Racial Politics 08:36 Hustling Evolution: Weed to Pills 14:42 The Rise of the Pill Game 20:30 Building a Multi-State Operation22:49 This Episode Is Sponsored By Hims 24:29 Shipping, Networks, and Profits 33:33 Money Laundering & Legal Strategy 40:33 Getting Busted: The Pistol Case 49:41 Indictments, Conspiracy, and Betrayal51:57 This Episode Is Sponsored By Rag & Bone 54:15 Federal Sentencing & Prison Transfers 01:15:41 USP Victorville: Arrival & Politics 01:27:18 Race, Cars, and Prison Politics 01:34:37 Putting in Work: Removals and Demos 01:47:00 Violence, Stabbing, and Survival Skills 01:58:12 Hustles and Addiction Inside Prison 02:08:04 Getting Released: Transfers and COVID 02:18:16 Reflection, Growth, and Forgiveness 02:31:18 Life After Release & New Beginnings Learn more about your ad choices. Visit podcastchoices.com/adchoices
#party @record_playlists 01. Argy, Omiki - WIND (Record Mix) 02. Rihanna, Calvin Harris - We Found Love (Record Mix) 03. Fisher, Flowdan - Boost Up (Record Mix) 04. John Summit, Inez - crystallized (Record Mix) 05. Fred Again.., The Blessed Madonna - Marea (Weve Lost Dancing) (Record Mix) 06. Felix Jaehn, Shouse - Walk With Me (Record Mix) 07. Mind Electric - Things You Say (Record Mix) 08. Eastblock Bitches, Ostblockschlampen - Sunglasses at Night (Record Mix) 09. Maesic, Marshall Jefferson, Salome Das - Life Is Simple (Record Mix) 10. Meysta, Bersage, Haluna - Salt (Record Mix) 11. David Guetta, Cedric Gervais, Chris Willis - Would I Lie to You (Record Mix) 12. Lilly Wood, Prick, Robin Schulz - Prayer In C (Record Mix) 13. Block & Crown, Lissat - Ocean Cake (Record Mix) 14. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 15. Tiesto, Black Eyed Peas - Pump It Louder (Record Mix) 16. Alesso, Sacha - Destiny (Record Mix) 17. Daft Punk - Around The World (Record Mix) 18. Alok, Daecolm, Malou - Unforgettable (Record Mix) 19. Twocolors, Roe Byrne, Amice - Stereo (Record Mix) 20. Lucas & Steve, Lawrent, Jordan Shaw - End Of Time (Record Mix) 21. Zhu - In the Morning! (Record Mix) 22. Demi Lovato - Fast (Record Mix) 23. Zerb, Sofiya Nzau, Izzy Bizu - Kumbaya (Record Mix) 24. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 25. Tiesto - The Business (Record Mix) 26. Dimitri Vegas, Chapter & Verse, Goodboys - Good For You 27. Avicii - Wake Me Up (Record Mix) 28. Vize - Wait (Alibi Blue) (Record Mix) 29. Alexander Popov, Whiteout, Vaileri - Need to Feel Loved (Record Mix) 30. Dante Klein - Gotta Feel 31. Anyma, Ellie Goulding - Hypnotized (Record Mix) 32. Oliver Heldens, Becky Hill - Gecko (Overdrive) (Record Mix) 33. Gorgon City, Katy Menditta - Imagination (Record Mix) 34. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 35. Skytech - The Rhythm (Record Mix) 36. Ava Max - Don't Click Play (Record Mix) 37. Twocolors, Safri Duo, Chris De Sarandy - Head Above Water (Record Mix) 38. Alle Farben, Graham Candy, Lahos - Flowers (Record Mix) 39. Keanu Silva, Don Diablo - King of My Castle (Record Mix) 40. Nicky Romero - All Night Long 41. Junior Jack - Stupidisco (Record Mix) 42. Hypaton, David Guetta, La Bouche - Be My Lover (Record Mix) 43. Lost Culture, Morfi, Carine - Lean On (Record Mix) 44. Topcover - First Day (Record Mix) 45. Richard Grey - At Night (Record Mix) 46. Alok, Gryffin, Julia Church - Never Letting Go (Record Mix) 47. Empire Of The Sun, Tony Romera - Walking on a dream (Record Mix) 48. Misha Miller, Alexvelea, Bodega - Bam Bam (Record Mix) 49. Ofenbach - Be Mine (Record Mix) 50. Mr. Belt & Wezol, Rscl - Opened Up My Soul 51. Block & Crown, Daisy - Mr Vain (Record Mix) 52. Armin Van Buuren - Es Vedra (Record Mix) 53. Hugel, Topic, Arash, Daecolm - I Adore You (Record Mix) 54. Crazibiza - Fresh (Record Mix) 55. Alesso, Calvin Harris - Under Control (Record Mix) 56. Alesso, Calvin Harris - Under Control (Record Mix) 57. Albert Brite - Wild (Record Mix) 58. Thomas Gold - Pump Up The Jam (Record Mix) 59. Lady Gaga, Dj Dark - The Dead Dance (Record Mix) 60. Gamuel Sori, Lovespeake, Amice - Us (Record Mix) 61. Shouse, Cub Sport - Only You (Record Mix) 62. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 63. Dj Louis - Let Me Blow Ya Mind 64. Tujamo, Azteck, Inna - Freak (Record Mix) 65. Sean Paul, Odd Mob - Get Busy 66. Tiesto, Kshmr, Vassy - Secrets (Record Mix) 67. David Guetta, Cedric Gervais - If A Better World (Record Mix) 68. Ian Carey, Michelle Shellers, Manyfew, Joe Stone - Keep On Rising (Record Mix) 69. Felix, Charlotte Haining, Switch Disco - I Found You (Record Mix) 70. Coldplay, Avicii - A Sky Full of Stars (Record Mix) 71. Marc Korn, Danny Suko, Heart Fx - Every Breath You Take (Record Mix) 72. Afrojack, Aloe Blacc - In My World (Record Mix) 73. Dj Kuba, Neitan, Bounce Inc. - Watch Out (Record Mix) 74. Cassian, Yotto, Da Hool - Love Parade (Record Mix) 75. Phao, Kaiz - 2 Phut Hon (Record Mix) 76. Akcent, Sera, Misha Miller - Don't Leave (Kylie) (Record Mix) 77. Relanium, Deen West - Leel Lost (Record Mix) 78. Melsen - Be Your Lover 79. Pete Tong, Roro, Jules Buckley, The Essential Orchest - Rhythm Of The Night (Record Mix) 80. Fisher - Losing It (Record Mix) 81. Huntr-X, Ejae, Audrey Nuna, Rei Ami, Dj Dark - Golden (Record Mix) 82. New World Sound, J2, Sara Phillips - Outta My Head (Record Mix) 83. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 84. Global Deejays, Jenia Smile, Ser Twister - The Sound Of San Francisco (Record Mix) 85. Oneil, Kanvise, Murana - Redlight (Record Mix) 86. Rue Jay - I Want Your Love 87. Lunax, Mia Amare - Sweet Harmony (Record Mix) 88. Duke Dumont - Won't Look Back (Record Mix) 89. One-T, Ywy, Nika - The Way To Love (Record Mix) 90. Nicky Romero, Giacobbi, Fatboi - Move It (Record Mix) 91. Gorgon City, Mk - There for You (Record Mix) 92. Alok, Ella Eyre, Kenny Dope, Never Dull - Deep Down (Record Mix) 93. Lana Del Rey, Kevin Blanc - Young & Beautiful (Record Mix) 94. Oliver Heldens, Ian Asher, Sergio Mendes - Mas Que Nada 95. Doechii, Dj Dark - Anxiety (Record Mix) 96. Diplo, Miguel - Don't Forget My Love (Record Mix) 97. Noizu - Summer 91 (Looking Back) (Record Mix) 98. Calvin Harris, Ellie Goulding - Outside (Record Mix) 99. Alis Shuka, Byjoelmichael - Not About Us (Record Mix) 100. Robin Schulz, Cyril, Sam Martin - World Gone Wild (Record Mix) 101. Titov - Philosophy (Record Mix) 102. Martin Jensen, Fastboy - One Day (Record Mix) 103. Bob Sinclar - Cruel Summer (Record Mix) 104. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 105. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 106. Goodboys, Nu Aspect, Avaion - Blindspot (Record Mix) 107. Max Oazo - Gimme! Gimme! Gimme! (Record Mix) 108. Saint Jhn, Imanbek - Roses (Record Mix) 109. Block & Crown - Mr DJ Give Me More 110. David Zowie - House Every Weekend (Record Mix) 111. Dj Snake, Bipolar Sunshine - Paradise (Record Mix) 112. Bassjackers, Kshmr, Sirah - Memories (Record Mix) 113. Kddk, Alex Alta - 1&2 (Record Mix) 114. Fast Boy, Topic - Forget You (Record Mix) 115. Garas, Eugenio Fico - Perfect 116. David Guetta - Family Affair (Dance For Me) (Record Mix) 117. Showtek, Smack, Sam Gray - Take My Heart Away (Record Mix) 118. Sakko, Jibaro - Carnival (Record Mix) 119. Galwaro, Lizot, Gabry Ponte - Like a Prayer (Record Mix) 120. Don Diablo, R3Hab, Neeka - Disco Marathon 121. Tony Igy - Cascade (Record Mix) 122. Felix Jaehn, Sarah Barrios - Now's A Good Time To Be (Record Mix) 123. Galantis - Runaway (U & I) (Record Mix) 124. Jerome Robins, Karsten Sollors - Don't Stop The Music (Record Mix) 125. Faros - Say It Right (Record Mix) 126. Adam Lambert - Ghost Town (Record Mix) 127. Claptone, Sea Girls, Henry Camamile - Put Your Love On Me 128. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 129. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 130. Killteq, D.Hash, Vallhee - I Like It (Record Mix) 131. Afrojack, Aloe Blacc - In My World 132. Dj Dimixer, Favia - One of Us (Record Mix) 133. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 134. Filatov & Karas - Au Au (Record Mix) 135. Alok, Jess Glynne - Summer's Back (Record Mix) 136. Eric Prydz - Proper Education (Record Mix) 137. Arei, Dj Lev - Du Hast (Record Mix) 138. Feder, Emmi - Blind (Record Mix) 139. Zerb, Sofiya Nzau - Mwaki (Record Mix)
SPONSORS: 1) RAG & BONE NEW YORK: Go to https://www.rag-bone.com/ and use code JULIAN for 20%! 2) AMENTARA: Go to https://www.amentara.com/go/julian and use code JD22 for 22% off your first order! PATREON https://www.patreon.com/JulianDorey ****TIMESTAMPS in description below**** - Alok M. Kanojia, also known as Dr. K., is an American psychiatrist and co-founder of the mental health coaching company Healthy Gamer. He streams interviews on Twitch, where he and participants discuss mental health topics. DR. K'S LINKS: YT: https://www.youtube.com/@HealthyGamerGG WEBSITE: https://www.healthygamer.gg X: https://twitter.com/HealthyGamerGG TikTok: https://www.tiktok.com/@healthygamer.gg IG: https://www.instagram.com/healthygamer_gg/ FOLLOW JULIAN DOREY INSTAGRAM (Podcast): https://www.instagram.com/juliandoreypodcast/ INSTAGRAM (Personal): https://www.instagram.com/julianddorey/ X: https://twitter.com/julianddorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 – Intro 01:28 – Gaming Addiction, India Trip, Emotional Suppression, Meditation Paradox 13:26 – Diablo & Warcraft, Sent to India, Yogis & Temperature Control, Layers of Reality 23:59 – Yoga Physiology, Empty Stomach Rule, Diet & Meditation, Tai Chi Experiment 33:04 – Mind–Body Split, Gut Brain, Serotonin, Ayurveda, Inflammation Theory 42:53 – Eastern vs Western Medicine, Pills vs Hard Work, Laziness Debate 53:11 – Convenience Trap, Decision Fatigue, Habit Weakness, Flow State 01:04:01 – Habits vs Mental Training, Ignorance Causes Suffering, Residency Patient Story 01:15:49 – Consciousness, ADHD Patterns, Subconscious Decisions, Identity Formation 01:26:34 – Emotion vs Understanding, Experience Over Information, India Origins 01:35:30 – India Stories, Sensory Removal, Deep Meditation States 01:47:31 – Orgasm Addiction, Meditation, Nature of Thought 01:55:16 – Ashram Life, Yogic Purging, Bipolar vs Awakening, Advanced Practices 02:09:11 – Chi Experiment, Perception Training, Spiritual Plateau, Walking Discipline 02:20:49 – Losing Enlightenment Drive, Privilege Awareness, 7 Continents Kid 02:30:36 – Privilege, Emotional Evolution, Youth Mental Health Decline 02:41:36 – Fixing Mental Health Crisis, Systemic Issues, Incels, Natural Selection Pressure 02:51:46 – Tech & COVID, Eating Disorders, Cognitive Overload, The “Ick” 03:01:06 – Achievement ≠ Peace, Healthy Gamer Parenting, Trauma & Epigenetics 03:16:46 – PTSD Treatment, Trauma as Adaptation, Rewiring After Trauma 03:19:04 – Dr. K's work CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef - https://www.instagram.com/joeydeef/ Julian Dorey Podcast Episode 365 - Dr. K (Healthy Gamer GG) Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices
Satish Bhambri is a Sr Data Scientist at Walmart Labs, working on large-scale recommendation systems and conversational AI, including RAG-powered GroceryBot agents, vector-search personalization, and transformer-based ad relevance models.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractThe MLOps Community Podcast features Satish Bhambri, Senior Data Scientist with the Personalization and Ranking team at Walmart Labs and one of the emerging leaders in applied AI, in its newest episode. Satish has quietly built one of the most diverse and impactful AI portfolios in his field, spanning quantum computing, deep learning, astrophysics, computer vision, NLP, fraud detection, and enterprise-scale recommendation systems. Bhambri's nearly a decade of research across deep learning, astrophysics, quantum computing, NLP, and computer vision culminated in over 10 peer-reviewed publications released in 2025 through IEEE and Springer, and his early papers are indexed by NASA ADS and Harvard SAO, marking the start of his long-term research arc. He also holds a patent for an AI-powered smart grid optimization framework that integrates deep learning, real-time IoT sensing, and adaptive control algorithms to improve grid stability and efficiency, a demonstration of his original, high-impact contributions to intelligent infrastructure. Bhambri leads personalization and ranking initiatives at Walmart Labs, where his AI systems serve more than (5% of the world's population) 531 million users every month, roughly based on traffic data. His work with Transformers, Vision-Language Models, RAG and agentic-RAG systems, and GPU-accelerated pipelines has driven significant improvements in scale and performance, including increases in ad engagement, faster compute by and improved recommendation diversity.Satish is a Distinguished Fellow & Assessor at the Soft Computing Research Society (SCRS), a reviewer for IEEE and Springer, and has served as a judge and program evaluator for several elite platforms. He was invited to the NeurIPS Program Judge Committee, the most prestigious AI conference in the world, and to evaluate innovations for DeepInvent AI, where he reviews high-impact research and commercialization efforts. He has also judged Y Combinator Startup Hackathons, evaluating pitches for an accelerator that produced companies like Airbnb, Stripe, Coinbase, Instacart, and Reddit.Before Walmart, Satish built supply-chain intelligence systems at BlueYonder that reduced ETA errors and saved retailers millions while also bringing containers to the production pipeline. Earlier, at ASU's School of Earth & Space Exploration, he collaborated with astrophysicists on galaxy emission simulations, radio burst detection, and dark matter modeling, including work alongside Dr. Lawrence Krauss, Dr. Karen Olsen, and Dr. Adam Beardsley.On the podcast, Bhambri discusses the evolution of deep learning architectures from RNNs and CNNs to transformers and agentic RAG systems, the design of production-grade AI architectures with examples, and his long-term vision for intelligent systems that bridge research and real-world impact. and the engineering principles behind building production-grade AI at a global scale.// Related LinksPapers: https://scholar.google.com/citations?user=2cpV5GUAAAAJ&hl=enPatent: https://search.ipindia.gov.in/DesignApplicationStatus ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkm
Thank you to everyone listening to the one and only CAST. Please enjoy a beautiful chunk of our favorite moments of 2025. Can't wait for so so many more laughs with you all. Best fans in the world. Do us a favor and share your favorite moments in the comments below. What was your take on 2025? Follow Sebastian: @SebastianComedy Follow Pete: @PeteCorreale To watch the podcast on YouTube: https://bit.ly/PeteAndSebastianYouTube Don't forget to follow the podcast for free wherever you're listening or by using this link: https://bit.ly/PeteAndSebastian If you like the show, telling a friend about it would be amazing! You can text, email, Tweet, or send this link to a friend: https://bit.ly/PeteAndSebastian For Sebastian's tour dates, go to: https://www.sebastianlive.com/ For Pete's tour dates, go to: https://www.petecorreale.com/ Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code THECAST at https://rag-bone.com #ragandbonepod Sign up for your one-dollar-per-month trial and start selling today at https://shopify.com/thecast Learn more about your ad choices. Visit podcastchoices.com/adchoices
Software Engineering Radio - The Podcast for Professional Software Developers
In this episode of Software Engineering Radio, Srujana Merugu, an AI researcher with decades of experience, speaks with host Priyanka Raghavan about building LLM-based applications. The discussion begins by clarifying essential concepts like generative vs. predictive AI, pre-training vs. fine-tuning, and the transformer architecture that powers modern LLMs. Srujana explains diffusion models and vision transformers, highlighting how multimodal AI is reshaping content creation. The conversation then moves to practical aspects—where LLMs make sense, where they don't, and a decision framework for evaluating use cases. They explore common application patterns such as retrieval-augmented generation (RAG) and agentic architectures, breaking down components like planners, orchestrators, memory, and tools. Key considerations for model selection, evaluation metrics, and safety guardrails are discussed in depth. The episode also touches on prompting strategies, automated prompt optimization, and emerging trends like multi-sensory AI and the "Internet of Senses." Finally, Srujana shares tips on staying current in a fast-moving AI landscape and emphasizes lifelong learning and curated knowledge sources.
AI Applied: Covering AI News, Interviews and Tools - ChatGPT, Midjourney, Runway, Poe, Anthropic
In this episode of AI Applied, Conor Grennan and Jaeden dive into the complex legal challenges facing AI companies, focusing on Perplexity's recent lawsuits. They explore the implications of retrieval augmented generation (RAG) and how it compares to Meta's strategic partnerships with news publishers. Tune in to understand the evolving landscape of AI, legal battles, and the ethical considerations shaping the future of technology.Get the top 40+ AI Models for $20 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
New Schizo Just Dropped:We discover our new favorite schizo, Adam Wayne Bailey. A true genius Haitian Island Invasion: Two men in Texas are arrested for planning to take over a Haitian island with an army of homeless people. What is this distracting us from? Andy Dick and Corey's Twitter: Andy Dick is hanging with bums like he should and Corey's Twitter confirms that the divorce with Courtney has now been settled. Corey is also out here fighting for his life on his social. THE BEAR!, FUCK YOU, WATCH THIS!, ELTON JOHN!, STEP INTO CHRISTMAS!, FELDMAS!, DRAGONBALL Z!, MEMES!, TICKLESACK!, TOTS TURNT!, DONATIONS!, NEW SCHIZO JUST DROPPED!, ADAM WAYNE BAILEY!, RAT NASTY BITCH!, CLOWN ASS DOUCHEBAGS!, REACHER!, BASH YOUR HEAD!, CHOICES!, DECISIONS!, PLOT OF LAND!, 2.5 ACRES!, WISCONSIN!, TALK SHIT!, DIPSHIT GRANDPARENTS!, R2D2!, FAKE WIFEY!, DIFFERENT CHARACTERS!, MAKE SENSE!, DAUGHTER!, STATE OF MIND!, MINNESOTA!, 2.5 ACRES!, HAITIAN ISLAND!, INVASION!, ENSLAVE!, CONSPIRACY!, TAKE OVER!, CRIME!, TWO GUYS!, COMEDIC!, INEPT!, DISTRACTION!, VIRAL STORY!, CLICKBAIT!, TIME WILL TELL!, ANDY DICK!, DRUNK!, HOLLYWOOD!, FAVORITE RAPPER!, OUTKAST!, MISSY ELLIOTT!, DOCUMENTARY!, STAGED!, DAILYMAIL!, RAG!, GROPE!, GRABBED BUTTS!, NO ANGELS HAVE SPOKEN OUT!, FIGHTING FOR HIS LIFE! You can find the videos from this episode at our Discord RIGHT HERE!
01. David Guetta, Sia - Beautiful People (Record Mix) 02. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 03. Gorgon City, Mk - There for You (Record Mix) 04. Joel Corry, Pickle, Vula - Stay Together (Baby Baby) (Record Mix) 05. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 06. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 07. Madison Mars, Little League - New Vibe Who Dis (Record Mix) 08. Kamrad - Be Mine (Record Mix) 09. Kddk, Alex Alta - 1&2 (Record Mix) 10. Arei, Dj Lev - Du Hast (Record Mix) 11. Albert Brite - Wild (Record Mix) 12. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 13. Robin Schulz, Ilsey - Headlights (Record Mix) 14. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 15. Otnicka - Celebrate the Love (Record Mix) 16. Charli Xcx, Sam Smith - In The City (Record Mix) 17. Alok, Illenium - To The Moon 18. Lucas & Steve, Lawrent, Jordan Shaw - End Of Time (Record Mix) 19. Dynoro, Gigi D'Agostino - In My Mind... (Record Mix) 20. Arc North, Cour, New Beat Order, Lunis - Faded (Record Mix) 21. Felix Jaehn, Shouse - Walk With Me (Record Mix) 22. Akcent, Sera, Misha Miller - Don't Leave (Kylie) (Record Mix) 23. Lufthaus, Sophie Ellis-Bextor - Immortal (Record Mix) 24. Shane Codd - Rather Be Alone (Record Mix) 25. Robin Schulz, Cyril, Sam Martin - World Gone Wild (Record Mix) 26. Daft Punk - Around The World (Record Mix) 27. Alesso, Sacha - Destiny (Record Mix) 28. Sean Finn - Crazy (Record Mix) 29. Lola Young, Ted Bear - Messy (Record Mix) 30. Lost Frequencies, Janieck Devy - Reality (Record Mix) 31. Duke Dumont - Won't Look Back (Record Mix) 32. Mind Electric - Things You Say (Record Mix) 33. Klaas - The Way (Record Mix) 34. Disclosure - She's Gone, Dance On 35. Zerb, Sofiya Nzau, Izzy Bizu - Kumbaya (Record Mix) 36. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 37. Argy, Omiki - WIND (Record Mix) 38. David Zowie - House Every Weekend (Record Mix) 39. Alle Farben, Graham Candy, Lahos - Flowers (Record Mix) 40. Zhu - Faded (Record Mix) 41. Hugel, Topic, Arash, Daecolm - I Adore You (Record Mix) 42. Dimitri Vegas, Chapter & Verse, Goodboys - Good For You 43. Faros - Say It Right (Record Mix) 44. Lost Frequencies, Dimaro - Are You With Me (Record Mix) 45. Jake Shore, Rich Dietz - Everybody 46. Shouse - Love Tonight (Record Mix) 47. Dj Snake, Bipolar Sunshine - Paradise (Record Mix) 48. Anyma, Ellie Goulding - Hypnotized (Record Mix) 49. Maurizio Basilotta, Mf Productions - You're Not Alone (Record Mix) 50. Demi Lovato - Fast (Record Mix) 51. Ive, David Guetta - Supernova Love (Record Mix) 52. Kaz James - Sun Is Shining (Record Mix) 53. Oceana, Bodybangers - Endless Summer (Record Mix) 54. R3Hab, Sophie And The Giants - All Night (Record Mix) 55. Stefy De Cicco, Ben Hamilton, Martin Jensen - Day 'N' Nite (Record Mix) 56. Dj Antonio, Drama Heroes, Dj Chris Parker, Tomyam - Space (Record Mix) 57. Axwell, Ingrosso - More Than You Know (Record Mix) 58. Misha Miller, Alexvelea, Bodega - Bam Bam (Record Mix) 59. Oneil, Kanvise, Smola - Boys (Record Mix) 60. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 61. Alex Adair, Don Diablo, Cid - Make Me Feel Better (Record Mix) 62. Alok, Gryffin, Julia Church - Never Letting Go (Record Mix) 63. Diplo, Maren Morris - 42 (Record Mix) 64. Zerb, Sofiya Nzau - Mwaki (Record Mix) 65. Oliver Heldens, Becky Hill - Gecko (Overdrive) (Record Mix) 66. Ava Max - Don't Click Play (Record Mix) 67. Imany, Ivan Spell, Daniel Magre - You Will Never Know (Record Mix) 68. Armin Van Buuren - Es Vedra (Record Mix) 69. Calvin Harris, Dua Lipa - One Kiss (Record Mix) 70. Mau P - The Less I Know The Better 71. Fisher, Aatig - Take It Off (Record Mix) 72. One-T, Ywy, Nika - The Way To Love (Record Mix) 73. Jonas Blue, Jp Cooper - Perfect Strangers (Record Mix) 74. Moby, Blond Ish, Kiko Franco - Natural Blues (Record Mix) 75. Maesic, Marshall Jefferson, Salome Das - Life Is Simple (Record Mix) 76. Zhu - In the Morning! (Record Mix) 77. Felix, Charlotte Haining, Switch Disco - I Found You (Record Mix) 78. Dj Antoine, Tom Novy - Superstar (Record Mix) 79. Dj Louis - Let Me Blow Ya Mind 80. Sean Finn - Give It to Me (Record Mix) 81. Goodboys, Nu Aspect, Avaion - Blindspot (Record Mix) 82. Eric Prydz - Proper Education (Record Mix) 83. Lady Gaga, Dj Dark - The Dead Dance (Record Mix) 84. Basto! - Gregory's Theme (Record Mix) 85. Robin Schulz, David Guetta - On Repeat (Record Mix) 86. Vize - Wait (Alibi Blue) (Record Mix) 87. Armand Van Helden, Salvatore Mancuso - my my my (Record Mix) 88. Topcover - First Day (Record Mix) 89. Cat Dealers, Lothief, Santti - Sunshine (Record Mix) 90. Joezi, Lizwi - Amathole (Record Mix) 91. Cassian, Yotto, Da Hool - Love Parade (Record Mix) 92. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 93. Afrojack, Aloe Blacc - In My World (Record Mix) 94. Dj Kuba, Neitan, Bounce Inc. - Watch Out (Record Mix) 95. New World Sound, J2, Sara Phillips - Outta My Head (Record Mix) 96. C-Bool, Giang Pham - DJ Is Your Second Name (Record Mix) 97. Playmen, Damiano, Michael Tsaousopoulos, Ferrylake - Naked (Record Mix) 98. Adam Lambert - Ghost Town (Record Mix) 99. Dom Dolla, Clementine Douglas - Miracle Maker (Record Mix) 100. Pete Tong, Roro, Jules Buckley, The Essential Orchest - Rhythm Of The Night (Record Mix) 101. Filatov & Karas - Time Won't Wait (Record Mix) 102. Alok, Ella Eyre, Kenny Dope, Never Dull - Deep Down (Record Mix) 103. Bolier, Joe Stone, Voost - Keep This Fire Burning (Record Mix) 104. Avicii, Dan Tyminski - Hey Brother (Record Mix) 105. Block & Crown, Lissat - Ocean Cake (Record Mix) 106. Sevdaliza, Yseult, Pabllo Vittar, Tiesto - Alibi (Record Mix) 107. Huntr-X, Ejae, Audrey Nuna, Rei Ami, Dj Dark - Golden (Record Mix) 108. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 109. 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Alok, Jess Glynne - Summer's Back (Record Mix) 142. Annabell Kowalski - Hey Boy Hey Girl (Record Mix)
Thinking of building your own AI security tool? In this episode, Santiago Castiñeira, CTO of Maze, breaks down the realities of the "Build vs. Buy" debate for AI-first vulnerability management.While building a prototype script is easy, scaling it into a maintainable, audit-proof system is a massive undertaking requiring specialized skills often missing in security teams. The "RAG drug" relies too heavily on Retrieval-Augmented Generation for precise technical data like version numbers, which often fails .The conversation gets into the architecture required for a true AI-first system, moving beyond simple chatbots to complex multi-agent workflows that can reason about context and risk . We also cover the critical importance of rigorous "evals" over "vibe checks" to ensure AI reliability, the hidden costs of LLM inference at scale, and why well-crafted agents might soon be indistinguishable from super-intelligence .Guest Socials - Santiago's LinkedinPodcast Twitter - @CloudSecPod If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-Cloud Security Podcast- Youtube- Cloud Security Newsletter If you are interested in AI Cybersecurity, you can check out our sister podcast - AI Security PodcastQuestions asked:(00:00) Introduction(02:00) Who is Santiago Castiñeira?(02:40) What is "AI-First" Vulnerability Management? (Rules vs. Reasoning)(04:55) The "Build vs. Buy" Debate: Can I Just Use ChatGPT?(07:30) The "Bus Factor" Risk of Internal Tools(08:30) Why MCP (Model Context Protocol) Struggles at Scale(10:15) The Architecture of an AI-First Security System(13:45) The Problem with "Vibe Checks": Why You Need Proper Evals(17:20) Where to Start if You Must Build Internally(19:00) The Hidden Need for Data & Software Engineers in Security Teams(21:50) Managing Prompt Drift and Consistency(27:30) The Challenge of Changing LLM Models (Claude vs. Gemini)(30:20) Rethinking Vulnerability Management Metrics in the AI Era(33:30) Surprises in AI Agent Behavior: "Let's Get Back on Topic"(35:30) The Hidden Cost of AI: Token Usage at Scale(37:15) Multi-Agent Governance: Preventing Rogue Agents(41:15) The Future: Semi-Autonomous Security Fleets(45:30) Why RAG Fails for Precise Technical Data (The "RAG Drug")(47:30) How to Evaluate AI Vendors: Is it AI-First or AI-Sprinkled?(50:20) Common Architectural Mistakes: Vibe Evals & Cost Ignorance(56:00) Unpopular Opinion: Well-Crafted Agents vs. Super Intelligence(58:15) Final Questions: Kids, Argentine Steak, and Closing
¿Por qué los agentes de IA pierden el contexto en conversaciones largas? ¿Por qué buscan archivos por palabras y no por funcionalidad? Apple ha publicado CLaRa, una investigación que ataca los problemas fundamentales del RAG. Hoy explicamos qué es un RAG, por qué falla, y cómo esta nueva aproximación podría cambiar la forma en que programamos con IA. ------------ Escucha este podcast o ve el vídeo en Be Native: https://benative.dev Conviértete en el Maestro que las empresas necesitan con el Swift Mastery Program 26: https://acoding.academy/smp26 ------------ Si usas Claude Code, Cursor, Copilot o cualquier agente de IA para programar, seguro que has experimentado esto: llevas una hora de sesión, el modelo entiende perfectamente tu proyecto, y de repente... parece que se le va la cabeza. Te propone cosas que ya habíais descartado. Ignora archivos que le pasaste hace veinte minutos. ¿Por qué pasa esto? La respuesta está en cómo funcionan los sistemas RAG (Retrieval-Augmented Generation) y en sus limitaciones fundamentales. En este episodio explicamos: → Qué es un RAG y por qué es esencial para los agentes de código→ Por qué el buscador de archivos no entiende tu código, solo palabras→ Cómo la compresión en conversaciones largas destruye el contexto que has construido→ Qué es CLaRa, la nueva investigación de Apple que unifica búsqueda y generación→ Por qué comprimir inteligentemente puede dar mejores resultados que usar el texto completo Apple sigue apostando por la eficiencia sobre la fuerza bruta. No buscan el modelo más grande, buscan el más inteligente. Y CLaRa es un ejemplo perfecto de esa filosofía. Investigación disponible en abierto:Paper: arxiv.org/abs/2511.18659GitHub: github.com/apple/ml-claraModelos: huggingface.co/apple/CLaRa-7B-Instruct El desarrollo ha cambiado para siempre con la llegada de los agentes de IA, y para poder sacarle el mayor provecho y ser un desarrollador de los que buscan las empresas por su ultra-productividad, tienes que ser un Maestro: consígue la Maestría con el Swift Mastery Program 2026. Descárgala ya desde el App Store: Be Native y escúchanos desde ahí. Suscríbete a nuestro canal de Youtube: Apple Coding en YouTube Descubre nuestro canal de Twitch: Apple Coding en Twitch. Descubre nuestras ofertas para oyentes: - Cursos en Udemy (con código de oferta) - Apple Coding Academy - Suscríbete a Apple Coding en nuestro Patreon. - Canal de Telegram de Swift. Acceso al canal. --------------- Consigue las camisetas oficiales de Apple Coding con los logos de Swift y Apple Coding así como todo tipo de merchadising como tazas o fundas. - Tienda de merchandising de Apple Coding.
Randy hosts Real or Fake: Anime, Will got cucked at Thanksgiving dinner, 'Chair Company', Fan Feedback, and the Crumbl CEO loves ball. Support us on Patreon and receive weekly episodes for as low $5 per month: www.patreon.com/circlingbackpodcast Watch all of our full episodes on YouTube: www.youtube.com/washedmedia Shop Washed Merch: www.washedmedia.shop • (0:00) Fun & Easy Banter • (9:35) Real or Fake Anime • (30:30) Will Family Cucking • (44:25) Chair Company • (1:09:20) Fan Feedback • (1:20:25) Crumbl CEO Loves Ball Support This Episode's Sponsors: Rag & Bone: Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code STEAM at https://rag-bone.com/ #ragandbonepod Squarespace: Check out https://squarespace.com/steam for a free trial, and when you're ready to launch, use OFFER CODE: STEAM to save 10% off your first purchase of a website or domain. Rocket Money: Cancel your unwanted subscriptions and reach your financial goals faster with Rocket Money. Go to https://rocketmoney.com/circling today. Fitbod: Get 25% off your subscription or try the app FREE for seven days at https://fitbod.me/steam Underdog Fantasy: Download the app today and sign up with promo code STEAM to score ONE HUNDRED DOLLARS in Bonus Funds when you play your first FIVE dollars – that's promo code STEAM Must be 18+ (19+ in Alabama & Nebraska; 19+ in Colorado for some games; 21+ in Arizona, Massachusetts & Virginia) and present in a state where Underdog Fantasy operates. Terms apply. See assets.underdogfantasy.com/web/PlayandGetTerms_DFS_.html for details. Offer not valid in Maryland, Michigan, Ohio, and Pennsylvania. Concerned with your play? Call 1-800-GAMBLER or visit www.ncpgambling.org. In New York, call the 24/7 HOPEline at 1-877-8-HOPENY or Text HOPENY (467369) Learn more about your ad choices. Visit megaphone.fm/adchoices
We recap our Thanksgiving Break in Fun, talk Kiffin hightailing it to Baton Rouge, general ball talk, and Dave going to the zoo. Support us on Patreon and receive weekly episodes for as low $5 per month: www.patreon.com/circlingbackpodcast Watch all of our full episodes on YouTube: www.youtube.com/washedmedia Shop Washed Merch: www.washedmedia.shop • (0:00) Fun & Easy Banter • (14:15) This Thanksgiving in Fun • (33:55) Kiffin to LSU • (46:15) Ball Talk • (1:05:25) Dave Went to the Zoo Support This Episode's Sponsors: Rag & Bone: Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code STEAM at https://rag-bone.com/ #ragandbonepod Squarespace: Check out https://squarespace.com/steam for a free trial, and when you're ready to launch, use OFFER CODE: STEAM to save 10% off your first purchase of a website or domain. Rocket Money: Cancel your unwanted subscriptions and reach your financial goals faster with Rocket Money. Go to https://rocketmoney.com/circling today. Fitbod: Get 25% off your subscription or try the app FREE for seven days at https://fitbod.me/steam Underdog Fantasy: Download the app today and sign up with promo code STEAM to score ONE HUNDRED DOLLARS in Bonus Funds when you play your first FIVE dollars – that's promo code STEAM Must be 18+ (19+ in Alabama & Nebraska; 19+ in Colorado for some games; 21+ in Arizona, Massachusetts & Virginia) and present in a state where Underdog Fantasy operates. Terms apply. See assets.underdogfantasy.com/web/PlayandGetTerms_DFS_.html for details. Offer not valid in Maryland, Michigan, Ohio, and Pennsylvania. Concerned with your play? Call 1-800-GAMBLER or visit www.ncpgambling.org. In New York, call the 24/7 HOPEline at 1-877-8-HOPENY or Text HOPENY (467369) Learn more about your ad choices. Visit megaphone.fm/adchoices
As the Thanksgiving weekend passes, let's look at some technology things that we're thankful for and excited about. SHOW: 980SHOW TRANSCRIPT: The Cloudcast #980 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[Mailtrap] Try Mailtrap for free[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTESTHINGS TO BE THANKFUL FOR:Thankful for healthHappy Birthday to ChatGPTThe feature on an iPhone that remembers the code sent in an SMS messageRole playing, brain storming, scenario planning on ChatGPT/GeminiTools like Vercel that let non-programmers use AI to build apps (the future of PaaS)Tools like NotebookLM making complex stuff like LLM training, RAG patterns, True competition in the cloud market as differentiation emergesThe beginnings of alternatives to NVIDIA in the AI HW Acceleration marketThe evolution of wearables like fitness trackers, or AirPods (better sound quality, noise cancelling, language translation, etc.) FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod
Send us a textIntro: Paper Planes by M.I.A.Album 16: Victorious by The Perishers (2007)Song 1: VictoriousSong 2: To Start a NewSong 3: 8am DepartureAlbum 15: Icky Thump by The White Stripes (2007)Song 1: Bone BrokeSong 2: Little Cream SodaSong 3: Rag & Bone
Join these two gen-Xers as they battle high power blowers, bagel thieves, couch shopping, and the pure evil of Titanic's Billy Zane. Special guests: Sebastian's ongoing house work & Pete's sloppy backdrop make an appearance. Follow Sebastian: @SebastianComedy Follow Pete: @PeteCorreale To watch the podcast on YouTube: https://bit.ly/PeteAndSebastianYouTube Don't forget to follow the podcast for free wherever you're listening or by using this link: https://bit.ly/PeteAndSebastian If you like the show, telling a friend about it would be amazing! You can text, email, Tweet, or send this link to a friend: https://bit.ly/PeteAndSebastian For Sebastian's tour dates, go to: https://www.sebastianlive.com/ For Pete's tour dates, go to: https://www.petecorreale.com/ Upgrade your denim game with Rag & Bone! Enjoy 25% off sitewide during their biggest sale of the year, November 21st through December 1st (a few exclusions apply). Plus, stack our exclusive code THECAST for even more savings at https://rag-bone.com #ragandbonepod Sign up for your one-dollar-per-month trial and start selling today at https://shopify.com/thecast Learn more about your ad choices. Visit podcastchoices.com/adchoices
Happy Thanksgiving QA! This week we're bringing you a special VIDEO episode with Jorm and Seth thanking you all for your wonderful gifts and support, you've given Jorm this year during his recovery. This was Jorm's idea, so he of course invited his doctor on as well, Dr. Shirvinda Wijesekera, MD, to talk about his injury and the surgery to fix Jorm's EXPLODED back. Enjoy this one, and let us know what you think of the video. No promises that we'll do more, but you're welcome...Happy Thanksgiving! No links this week. Go eat something!Send us an email: thelonelyislandpod@gmail.comSend us a voice note: https://www.speakpipe.com/thelonelyislandSend us stuff: P.O. Box 4024New York, NY 10185Photos and everything else can be found by following us on Instagram @lonelymeyerspod Support our sponsors: AuraVisit AuraFrames.com and get $45 off Aura's best-selling Carver Mat frames - named #1 by Wirecutter - by using promo code ISLAND at checkout. This exclusive Black Friday Cyber Monday deal is their best of the year, so order now before it ends! Support the show by mentioning us at checkout! Factor Eat smart at FactorMeals.com/SLAND50OFF and use code ISLAND50OFF to get 50% off your first box, plus Free Breakfast for 1 Year. Get delicious, ready-to-eat meals delivered—with Factor. *Offer only valid for new Factor customers with code and qualifying auto-renewing subscription purchase.ShopifySign up for your one-dollar-per-month trial and start selling today at SHOPIFY.COM/lonelyisland Cash AppDownload Cash App Today: #CashAppPodCash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at cash.app/legal/us/en-us/card-agreement. Promotions provided by Cash App, a Block, Inc. brand. Visit cash.app/legal/podcast for full disclosures. Rag & BoneUpgrade your denim game with Rag & Bone! Enjoy 25% off sitewide during their biggest sale of the year, November 21st through December 1st (a few exclusions apply). Plus, stack our exclusive code ISLAND for even more savings at rag-bone.com #ragandbonepod Learn more about your ad choices. Visit megaphone.fm/adchoices
John and Bobby broke down how RAG actually works and why the real battle isn't the LLM, it's the chaos sitting in PDFs, Excel files, post-job reports, random folder structures, and handwritten scans. They showed how extraction, chunking, and embeddings fall apart when data is messy, and why clean structure, good metadata, and consistent organization matter way more than people want to admit. They also hit on how tools like MCP and text-to-SQL let AI pull from WellView, production systems, and databases in one place, instead of everyone living in 20 different apps. The takeaway was simple: AI gets powerful fast when the data is ready, but if the inputs are junk, you'll just get faster junk back.Click here to watch a video of this episode.Join the conversation shaping the future of energy.Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.Apply today at collide.ioClick here to view the episode transcript. https://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters
SPONSORS: - Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code NOTTODAY at www.rag-bone.com #ragandbonepod - Take advantage of HexClad's Best Sale of the Year and GET UP TO 52% Off by going to https://hexclad.com/NOTTODAY #hexcladpartner - Control Body Odor ANYWHERE with @shop.mando and get 20% off + free shipping with promo code NOTTODAY at https://shopmando.com! #mandopod - New players play $5 and get 500 total Spins over 10 days on Cash Eruption games! New customers sign up using https://dkng.co/nottoday or through my promo code NOTTODAY. #DKPartner This week on Not Today Pal, Jamie and Rob dive into the chaos of modern dating: from using a gift card on the first date (power move or
With three rounds left of the 2025 season, Oscar Piastri is still in contention to become Formula 1 World Champion for the first time. So what's it like being in the thick of an F1 title fight with so much at stake? Speaking to Tom Clarkson before the Sao Paulo Grand Prix, Oscar opens up about the pressure of a title battle and why fighting a teammate is different to racing against any other driver. He also discusses whether his relationship with teammate Lando Norris has changed this year and how he feels McLaren have handled the challenge of treating them both equally. It's easy to forget that this is only Oscar's third season as an F1 driver. With seven wins, seven podiums and five pole positions, he's taken a huge leap forward. What exactly did he work on over the winter to make so much progress this year? And how are race engineer Tom Stallard, manager Mark Webber and new physio Artturi Simila all helping his development? As well as reflecting on the highs, Oscar also talks about dealing with setbacks in Australia, at Silverstone and in Azerbaijan, which is good insight into how he'll bounce back from a difficult weekend in Brazil. It's All To Drive For in 2025. Be there! Book your seat for a Grand Prix this season at tickets.formula1.com Listen to more official F1 podcasts Every race analysed on F1 Nation Expert answers to your questions on F1 Explains THIS EPISODE IS SPONSORED BY... SelectQuote: Get the right life insurance for you, for less, and save more than 50% at selectquote.com/beyondthegrid Rag & Bone: Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code GRID at www.rag-bone.com
Dave has something to say about the firing of Mavs GM Nico Harrison, Dave is thinking about doing this activity with his son, LSU is trying to avoid paying Brian Kelly's buyout, and we have an MLB gambling indictment. Support us on Patreon and receive weekly episodes for as low $5 per month: www.patreon.com/circlingbackpodcast Watch all of our full episodes on YouTube: www.youtube.com/washedmedia Shop Washed Merch: www.washedmedia.shop • (0:00) Fun & Easy Banter • (12:40) Nico GONE • (31:35) Does My Kid Need to do this Activity? • (46:25) LSU Trying Not to Pay Brian Kelly • (59:45) MLB Gambling Indictment Support This Episode's Sponsors: Fair Harbor Clothing: Head to https://www.fairharborclothing.com/ and use code CIRCLING20 for 20% OFF your full price order now through 11/15 Rag & Bone: Upgrade your denim game with Rag & Bone! Get 20% off your entire order with code STEAM at http://rag-bone.com/ #ragandbonepod Squarespace: Check out https://squarespace.com/steam for a free trial, and when you're ready to launch, use OFFER CODE: STEAM to save 10% off your first purchase of a website or domain. Rocket Money: Cancel your unwanted subscriptions and reach your financial goals faster with Rocket Money. Go to https://rocketmoney.com/circling today. Learn more about your ad choices. Visit megaphone.fm/adchoices
The boys recap their Weekends in Fun, including Randy's time at the Ren Fair, Bryan Johnson did 5 grams of shrooms, Dave has a "Would you rather?" for Texas fan Dillon, and Dillon watched 'House of Dynamite.' Support us on Patreon and receive weekly episodes for as low $5 per month: www.patreon.com/circlingbackpodcast Watch all of our full episodes on YouTube: www.youtube.com/washedmedia Shop Washed Merch: www.washedmedia.shop • (0:00) Fun & Easy Banter • (15:35) Recapping TWIF • (37:10) Bryan Johnson is Killing Shroom Culture • (53:00) Texas Fan "Would You Rather?" • (1:05:35) Dillon Watched 'House of Dynamite' Support This Episode's Sponsors: Fair Harbor Clothing: Head to https://www.fairharborclothing.com/ and use code CIRCLING20 for 20% OFF your full price order now through 11/15 Rag & Bone: Upgrade your denim game with Rag & Bone! Get 20% off your entire order with code STEAM at http://rag-bone.com/ #ragandbonepod Squarespace: Check out https://squarespace.com/steam for a free trial, and when you're ready to launch, use OFFER CODE: STEAM to save 10% off your first purchase of a website or domain. Rocket Money: Cancel your unwanted subscriptions and reach your financial goals faster with Rocket Money. Go to https://rocketmoney.com/circling today. Learn more about your ad choices. Visit megaphone.fm/adchoices
SPONSORS: Booking.com - Head over to Booking.com and start your listing today. Get Seen. Get Booked on Booking.com. Ridge Wallet - Take advantage of Ridge's biggest sale of the year and GET UP TO 47% off by going to https://www.Ridge.com/HONEYDEW Rag & Bones - Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code HONEYDEW at https://www.rag-bone.com My HoneyDew this week is comedian and actor David Koechner! Check out David on the road, and the latest film he starred in called Ganymede. David joins me this week to Highlight the Lowlights of his small town upbringing, breaking out into show business, and his long battle with alcoholism. We talk about David's experience growing up catholic in a small Missouri town, and how he would go from sneaking episodes of SNL while his parents were out of the house, to eventually getting a one season run himself. David also opens up about his struggles with alcoholism, the trouble it has got him in, and finding his way into recovery. Check out my new standup special “Live and Alive” streaming on my YouTube now! https://youtu.be/PMGWVyM2NJo?si=SrhXjgzR1pe6CyYE SUBSCRIBE TO MY YOUTUBE and watch full episodes of The Dew every toozdee! https://youtube.com/@rsickler SUBSCRIBE TO MY PATREON - The HoneyDew with Y'all, where I Highlight the Lowlights with Y'all! Get audio and video of The HoneyDew a day early, ad-free at no additional cost! It's only $5/month! AND we just added a second tier. For a total of $8/month, you get everything from the first tier, PLUS The Wayback a day early, ad-free AND censor free AND extra bonus content you won't see anywhere else! http://patreon.com/RyanSickler What's your story?? Submit at honeydewpodcast@gmail.com Get Your HoneyDew Gear Today! https://shop.ryansickler.com/ Ringtones Are Available Now! https://www.apple.com/itunes/ http://ryansickler.com/ https://thehoneydewpodcast.com/ SUBSCRIBE TO THE CRABFEAST PODCAST https://podcasts.apple.com/us/podcast/the-crabfeast-with-ryan-sickler-and-jay-larson/id1452403187
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