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Software Engineering Radio - The Podcast for Professional Software Developers
Kacper Łukawski, a Senior Developer Advocate at Qdrant, speaks with host Gregory M. Kapfhammer about the Qdrant vector database and similarity search engine. After introducing vector databases and the foundational concepts undergirding similarity search, they dive deep into the Rust-based implementation of Qdrant. Along with comparing and contrasting different vector databases, they also explore the best practices for the performance evaluation of systems like Qdrant. Kacper and Gregory also discuss topics such as the steps for using Python to build an AI-powered application that uses Qdrant. Brought to you by IEEE Computer Society and IEEE Software magazine.
In this explosive episode, former USC football standout Owen Hanson—once living the dream on the field—reveals how he plunged into the dark underworld of the Sinaloa Cartel, moving hundreds of millions in cocaine across continents. Known as “O-Dog”, Hanson opens up about his journey from campus celebrity and sports bookmaker to international drug trafficker working directly with El Chapo's network. Host Johnny Mitchell dives deep into Hanson's transformation—from selling steroids to teammates at USC, to orchestrating high-level cartel deals spanning Peru, Mexico, Australia, and the U.S. Hanson recounts the lavish highs, the paranoia of living double lives, and the eventual FBI sting that brought it all crashing down. Now a free man and entrepreneur, Hanson shares how he rebuilt himself after prison, founding California Ice Protein and using his story to warn others about ego, greed, and the illusion of power. This episode blends crime, redemption, and raw honesty—a gripping story of how a promising athlete became a global kingpin, and how he's now rewriting his legacy. Go Support Owen! Movie: https://www.primevideo.com/detail/Cocaine-Quarterback-Signal-Caller-for-the-Cartel/0ITIO5AR39FDEY5RIG7APVMWF9 Book: https://www.thecaliforniakid.com/ IG: https://www.instagram.com/theofficialcakid/ YouTube: @theofficialcakid This Episode Is #Sponsored By The Following: GLD! Work Hard and Change the Game. For a limited time only, new customers are getting an insane deal. Use code MITCHELL to get 50% Off plus a Free Chain at https://gld.com BetterHelp! This World Mental Health Day, we're celebrating the therapists who've helped millions of people take a step forward. If you're ready to find the right therapist for you, BetterHelp can help you start that journey. Our listeners get 10% off their first month at https://betterhelp.com/CONNECT Rag & Bone! Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code CONNECT at https://rag-bone.com #ragandbonepod Join The Patreon For Bonus Content! https://www.patreon.com/theconnectshow 00:00 Intro: The Rise and Fall of Owen Hansen 01:00 College Football Glory & Wild USC Parties 04:41 Owen Hansen's Documentary & Rebuilding Trust 07:00 From Prison to Entrepreneur: Life After Release 11:00 Logistics of the International Drug Trade 17:00 Creative Smuggling: Wine, Chocolate & Global Routes 18:22 Get A Great Deal From GLD! 20:58 Bookmaking Millions: The Sports Betting Business 35:00 The Art of Collecting Debts & Avoiding Trouble 44:00 Law Enforcement Evasion and Daily Operations 46:58 Today's Sponsors 49:33 Cartel Connections & The Power of Payouts 01:00:00 Scaling Up: Canada, Australia & Moving Big Loads 01:11:00 Money Laundering and Gold: Schemes & Shell Companies 01:19:00 The Fall: Informants, Raids, and Indictments 01:31:00 Warehouse Operations, Canada, and High Volume Moves 01:40:00 High Life Burnout and Personal Toll 01:54:00 Sentencing, Cooperation, and Prison Life 02:03:00 Extradition, Testimony, and Sentence Reduction 02:08:00 Prison Reflections and Survival 02:12:00 Reinvented: Ice Cream Kingpin & The Road Ahead 02:13:00 Final Thoughts: Redemption and New Beginnings Learn more about your ad choices. Visit podcastchoices.com/adchoices
What if the real breakthrough in AI isn't the model itself, but the data that gives it knowledge? In this episode of Tech Talks Daily, I sit down with Edo Liberty, founder and Chief Scientist of Pinecone, to unpack how vector databases have quietly become the backbone of modern AI infrastructure. We explore why retrieval-augmented generation (RAG) works so effectively out of the box, and why fine-tuning large models often adds complexity without real-world value. Edo shares how Pinecone's research revealed that different models—from OpenAI to Anthropic—require differently structured context to perform well, a discovery that's reshaping how enterprises think about AI implementation. As the former Director of Research at Yahoo and AWS, Edo offers a grounded perspective on where the real innovation is happening. He explains how the shift from traditional data structures to vector representations is redefining how machines “know” and retrieve information, creating smarter, context-aware systems. We also touch on his recent transition to Chief Scientist, his excitement for returning to hands-on research, and why he believes the convergence of AI and data represents the defining technological shift of our lifetime. So, what does it mean for developers, business leaders, and anyone building with AI when knowledge becomes an accessible layer of infrastructure? Can we build systems that truly “know” as humans do? Join the conversation, and after listening, I'd love to hear your thoughts—do you think the future of AI lies in the models or in the data that feeds them?
Send us a textWe're joined by Douwe Kiela, CEO of Contextual.ai and pioneer in RAG research. From deploying AI agents at Fortune 500 companies to shedding light on data privacy and security, Douwe shares his expertise and insights on how to make data simple, effective, and secure.00:46 Introducing Douwe Kiela01:37 RAG - Here to Stay or Go?06:59 LLMs with Context08:20 Making AI Successful10:34 Why Contextual AI?17:18 LLM versus SLMs20:28 Speed over Perfection22:07 Hallucinations26:02 Making AI Easy to Consume28:50 Defining an Agent32:53 Reaching Contextual AI33:14 The Contrarian View34:37 The Risks of AI36:53 For FunLinkedIn: linkedin.com/in/douwekielaWebsite: https://contextual.ai/ Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
Send us a textWe're joined by Douwe Kiela, CEO of Contextual.ai and pioneer in RAG research. From deploying AI agents at Fortune 500 companies to shedding light on data privacy and security, Douwe shares his expertise and insights on how to make data simple, effective, and secure.00:46 Introducing Douwe Kiela01:37 RAG - Here to Stay or Go?06:59 LLMs with Context08:20 Making AI Successful10:34 Why Contextual AI?17:18 LLM versus SLMs20:28 Speed over Perfection22:07 Hallucinations26:02 Making AI Easy to Consume28:50 Defining an Agent32:53 Reaching Contextual AI33:14 The Contrarian View34:37 The Risks of AI36:53 For FunLinkedIn: linkedin.com/in/douwekielaWebsite: https://contextual.ai/ Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
This week on The RAG Podcast, I'm joined by Nick Hoadley, founder of Insurance Search, a specialist executive search practice in the global insurance market.Nick quit a successful broking career nine years ago and launched a recruitment business with zero agency experience. Since then, he has shifted from 100% contingent to 100% retained, built a lean team, and maxed out a seven-figure practice while holding 50 to 60% profit margins. He is now expanding in the US with a partner model designed to scale without fixed overheads.We talk about:- How he went from insurance broker to founder with no prior agency experience- The playbook for moving from 100% contingent to 100% retained- Why a podcast and thought leadership now drive executive mandates worldwide- Building a lean delivery engine, research and board search that sustains 50% plus margins- The US partner model that scales without headcount or fixed overhead- What to productise next, from human capital research to peer forums- Practical advice on letting go of delivery to win bigger workIf you are aiming to grow an executive search practice while protecting profit, this is the episode to watch.Chapters00:00:30 Nick Hoadley's Journey00:01:00 From Contingent to Retained00:01:28 Impact of Podcasting00:01:57 Aligning Personal and Professional Goals00:02:27 AI and the Future of Recruitment00:02:57 Building Client Trust00:03:27 Scaling with a Partner Model00:03:59 The US Market Expansion00:04:28 Conclusion and Future Outlook__________________________________________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...
With massive context windows and new agent frameworks, do vector databases still matter? Ram Sriharsha, CTO at Pinecone, joins the conversation to make the definitive case that they're more critical than ever. He explains that at the core of all AI is search, and externalizing this function is non-negotiable for security, auditability, and control.Ram offers a clear starting path for engineering leaders: begin with simple Retrieval-Augmented Generation (RAG) applications, but immediately implement a robust evaluation framework to manage hallucinations and ensure quality. He shares his perspective on the skills that matter most now, arguing that curiosity and the rise of the generalist engineer are critical in an AI-powered world. This episode is a guide to building the AI stack from the ground up, from using AI as a "good junior engineer" for testing to cultivating the engineering mindset of tomorrow.Bring AI into your code review process with LinearBFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Pinecone: pinecone.ioPinecone Tutorials & Blog: Explore guides on RAG, vector databases, and moreConnect with Ram Sriharsha: LinkedInReferenced in today's show:Your New 500K AI Coworkers Just ArrivedHow I influence tech company politics as a staff software engineerCoinbase says 40% of code written by AI, mostly tests and TypescriptCelebrating 1 Trillion Web Pages ArchivedSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever
LUCIUS - Thick As ThievesSOMBR - 12 to 12DANGER MOUSE & BLACK THOUGHT - Up (with Rag'n'Bone Man)LUCY DACUS - Bus Back To RichmondHAIM, BON IVER - Tie you downRICHARD ASHCROFT - Heavy NewsVIVA SUECIA - Mala PrensaLEIVA - Cortar por la Línea de PuntosTHE BLACK CROWES - A ConspiracyAMBER MARK ft ANDERSON.PAAK - Don't Remind MePINKPANTHERESS - Stateside + Kylie MinogueGORILLAZ - THE MANIFESTO FT. TRUENO & PROOFWHITNEY - DamageWET LEG - Catch These FistsEscuchar audio
Be a part of the journey and allow Claptone to transport you to a place of sonic delights, with a mix designed to enchant outside of the club. Follow our golden masked friend and be the first to hear the new editions of the CLAPCAST tale... 01. Armand Van Helden x Hitty – Keep Forgettin' (Extended Mix) [Ministry Of Sound]02. Rag'n'Bone Man, Max Chapman, Mischief – Whisper (Max Chapman & Mischief Terrace Mix) [Defected]03. Lucas & Steve – Push The Feeling On (Extended Mix) [Musical Freedom]04. Huxley – My Mind (Extended Mix) [Club Sweat]05. DJ Gregory – Block Party (Tim Croft Remix) [ID]06. Ammo Avenue – Uprise (Original Mix) [Casa Bonita]07. Dario Núñez, Alex Now (ES) – Dark Beat (Extended Mix) [Golden]08. Roger Sanchez, Gipsy Kings – El Gitano (Dub Edit) [Stealth]09. Space Castorz – Peligrosa (Extended Mix) [Gasolina]10. Chris Lake, The Chemical Brothers – Galvanize (Chris Lake Extended Mix) [Positiva]11. Watermät & James Mac – Make A Livin' (Extended Mix) [Sweat It Out]12. BISCITS – Wrong Is Right (Extended Mix) [Wrong.]13. Sarah Story & Joe Goddard – Keep Needing (Original Mix) [Stories]
We dig into how search is shifting from links to answers, why reputation now outranks tactics, and how to position your brand inside LLMs before it's 10x harder. Ross Barefoot joins Matt to compare notes on pruning, big content, reviews, local, and the reality of client communication.• LLMs as a new gatekeeper layer and why fundamentals still matter• EEAT with real experience, proof, and long‑form content• Reputation first: reviews beyond Google and social mentions• Pruning thin and off‑topic content to clarify entity• RAG, freshness, and Google's role in retrieval• Hidden gems: surfacing forums and long‑tail answers• Merchant Center and local search as stable channels• Measurement gaps, anonymized referrers, and log insights• Social's rising weight in brand visibility• Client education, budgets, and communication systemsGuest Contact Information: Website: eepseo.comLinkedIn: linkedin.com/in/rossbarefootMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of LLM Visibility™ and the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show
01. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 02. Demi Lovato - Fast (Record Mix) 03. R3Hab, Inna, Sash! - Rock My Body (Record Mix) 04. Rihanna, Calvin Harris - We Found Love (Record Mix) 05. Galwaro, Lizot, Gabry Ponte - Like a Prayer (Record Mix) 06. Zerb, The Chainsmokers, Ink - Addicted (Record Mix) 07. Gamuel Sori, Lovespeake, Amice - Us (Record Mix) 08. David Guetta, Sia - Beautiful People (Record Mix) 09. Shouse, Cub Sport - Only You (Record Mix) 10. Lucas & Steve, Lawrent, Jordan Shaw - End Of Time (Record Mix) 11. Coldplay, Avicii - A Sky Full of Stars (Record Mix) 12. Lola Young, Ted Bear - Messy (Record Mix) 13. Don Diablo - Momentum (Record Mix) 14. Joe Stone, Ferreck Dawn - Man Enough (Record Mix) 15. Goodboys, Nu Aspect, Avaion - Blindspot (Record Mix) 16. Twocolors, Safri Duo, Chris De Sarandy - Head Above Water (Record Mix) 17. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 18. Noizu - Summer 91 (Looking Back) (Record Mix) 19. Melsen, Dwight Steven - One More Night 20. Semm, Orfa - How Deep Is Your Love (Record Mix) 21. Armin Van Buuren, Maia Wright - One More Time (Record Mix) 22. Fisher, Flowdan - Boost Up (Record Mix) 23. Alexander Popov, Whiteout, Vaileri - Need to Feel Loved (Record Mix) 24. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 25. C Block, The Distance, Riddick - So Strung Out (Record Mix) 26. Richard Grey - At Night (Record Mix) 27. Avalan Rokston, Alex Caspian - Something to Believe In (Record Mix) 28. Feder, Emmi - Blind (Record Mix) 29. Tiesto, Soaky Siren - Tantalizing (Record Mix) 30. Alok, Gryffin, Julia Church - Never Letting Go (Record Mix) 31. Zhu - In the Morning! (Record Mix) 32. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 33. Claptone, Sea Girls, Henry Camamile - Put Your Love On Me 34. John Summit - La Danza (Record Mix) 35. Disclosure - She's Gone, Dance On 36. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 37. Zerb, Sofiya Nzau - Mwaki (Record Mix) 38. Hypaton, David Guetta, La Bouche - Be My Lover (Record Mix) 39. Faul, Wad, Pnau - Changes (Record Mix) 40. Matt Sassari, Sidepiece - Elektro (Record Mix) 41. Firebeatz, Dubdogz - Give It Up (Record Mix) 42. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 43. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 44. Sevdaliza, Yseult, Pabllo Vittar, Tiesto - Alibi (Record Mix) 45. Avicii - Wake Me Up (Record Mix) 46. Argy, Omiki - WIND (Record Mix) 47. Ava Max - Don't Click Play (Record Mix) 48. Rompasso, Bedanokov - In the Dark (Record Mix) 49. Alesso, Calvin Harris - Under Control (Record Mix) 50. Steve Angello - Me 51. Junior Jack - Stupidisco (Record Mix) 52. Doechii, Dj Dark - Anxiety (Record Mix) 53. Annabell Kowalski - Hey Boy Hey Girl (Record Mix) 54. R3Hab, Sophie And The Giants - All Night (Record Mix) 55. Kungs - Never Going Home (Record Mix) 56. Robin Schulz, Cyril, Sam Martin - World Gone Wild (Record Mix) 57. Tony Igy - Cascade (Record Mix) 58. Max Oazo - Gimme! Gimme! Gimme! (Record Mix) 59. Bassjackers - Wrong Or Right (The Riddle) (Record Mix) 60. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 61. Oneil, Kanvise, Smola - Boys (Record Mix) 62. Teriyaki Boyz, Hayat - Tokyo Drift (Record Mix) 63. Fisher, Aatig - Take It Off (Record Mix) 64. Mirko Donnini - Thinking of You (Record Mix) 65. James Hype, Kim Petras - Drums (Record Mix) 66. Martin Jensen, Fastboy - One Day (Record Mix) 67. Misha Miller, Alexvelea, Bodega - Bam Bam (Record Mix) 68. Alok, Innerverse, Frey - Allein Allein (Record Mix) 69. Cedric Gervais, Sick Individuals - Feel Better 70. Mentol, Aden - I Could Be The One (Record Mix) 71. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 72. Moby, Blond Ish, Kiko Franco - Natural Blues (Record Mix) 73. Sofiya Nzau, Madism, Robert Miles - Hutia (Record Mix) 74. Marshmello, Jonas Brothers, Alex Caspian - Slow Motion (Record Mix) 75. Madison Mars, Little League - New Vibe Who Dis (Record Mix) 76. Dj Snake, Bipolar Sunshine - Paradise (Record Mix) 77. Fedde Le Grand - Got Your Money (Record Mix) 78. Joezi, Lizwi - Amathole (Record Mix) 79. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 80. J Balvin, Willy William, Gonsu, Jenia Smile, Ser Twist - Mi Gente (Record Mix) 81. One-T, Ywy, Nika - The Way To Love (Record Mix) 82. Bob Sinclar - Cruel Summer (Record Mix) 83. Darude, Glazur, Xm - Sandstorm (Record Mix) 84. Huntr-X, Ejae, Audrey Nuna, Rei Ami, Dj Dark - Golden (Record Mix) 85. Filatov & Karas - Time Won't Wait (Record Mix) 86. Armand Van Helden, Salvatore Mancuso - my my my (Record Mix) 87. Topcover - First Day (Record Mix) 88. Modjo - Lady (Hear Me Tonight) (Record Mix) 89. Maesic, Marshall Jefferson, Salome Das - Life Is Simple (Record Mix) 90. Lost Frequencies, Janieck Devy - Reality (Record Mix) 91. David Guetta, Mistajam, John Newman - If You Really Love Me (How Will I Know) (Record Mix) 92. Imanbek, Younotus - Heal My Heart (Record Mix) 93. Playmen, Damiano, Michael Tsaousopoulos, Ferrylake - Naked (Record Mix) 94. Robin Schulz, Jasmine Thompson - Sun Goes Down (Record Mix) 95. Kanvise, Lew Heart, Falcoma - All Good Things (Record Mix) 96. Adam Lambert - Ghost Town (Record Mix) 97. Crazibiza, Cheesecake Boys - Nasty (Record Mix) 98. Basto!, Yves V - Cloud Breaker (Record Mix) 99. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 100. Boney M, R3Hab - Sunny (Record Mix) 101. Calvin Harris, Ellie Goulding - Outside (Record Mix) 102. Argy, Omnya - Aria (Record Mix) 103. Redondo, Shayee - Feeling Good (Record Mix) 104. Becky Hill - Outside Of Love (Record Mix) 105. Morgan Page, Telykast - Dancing All Alone (Record Mix) 106. Akcent, Sera, Misha Miller - Don't Leave (Kylie) (Record Mix) 107. Axwell, Ingrosso - More Than You Know (Record Mix) 108. Alok, Jess Glynne - Summer's Back (Record Mix) 109. Lady Gaga, Dj Dark - The Dead Dance (Record Mix) 110. Faul & Wad, Nico & Vinz, Altego, Old Jim - How I Feel (Am I Wrong) (Record Mix) 111. Relanium, Deen West - Leel Lost (Record Mix) 112. Bob Sinclar, Steve Edwards, Fisher - World, Hold On (Record Mix) 113. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 114. Swanky Tunes, Shapov - Wannabe 115. Arei, Dj Lev - Du Hast (Record Mix) 116. Punch Exciters - Dance Of The Fire (Record Mix) 117. Otnicka, Kaskeiyp - For an Angel (Record Mix) 118. Dr Kucho!, Gregor Salto, Oliver Heldens - Can't Stop Playing (Record Mix) 119. Kddk, Alex Alta - 1&2 (Record Mix) 120. Empire Of The Sun, Tony Romera - Walking on a dream (Record Mix) 121. Fred Again.., The Blessed Madonna - Marea (Weve Lost Dancing) (Record Mix) 122. Lufthaus, Sophie Ellis-Bextor - Immortal (Record Mix) 123. Joel Corry, Jennifer Lopez - Get Right 124. Zerb, Sofiya Nzau, Izzy Bizu - Kumbaya (Record Mix) 125. Stefy De Cicco, Ben Hamilton, Martin Jensen - Day 'N' Nite (Record Mix) 126. Don Diablo, R3Hab, Neeka - Disco Marathon 127. Rob Laniado - Vibing 128. Felguk, Watzgood - Horny 129. Shouse, Cub Sport - Only You (Record Mix) 130. Hugel, Topic, Arash, Daecolm - I Adore You (Record Mix) 131. Lucas & Steve, Laura White - Are You Ready 132. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 133. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 134. Eelke Kleijn, Joris Voorn - Transmission (Record Mix) 135. Alle Farben, Graham Candy, Lahos - Flowers (Record Mix) 136. Ive, David Guetta - Supernova Love (Record Mix) 137. Avicii, Dan Tyminski - Hey Brother (Record Mix) 138. Twocolors, Safri Duo, Chris De Sarandy - Head Above Water (Record Mix) 139. Melsen, Dwight Steven - One More Night 140. Joe Stone, Ferreck Dawn - Man Enough (Record Mix) 141. Cassian, Yotto, Da Hool - Love Parade (Record Mix) 142. Dimitri Vegas, Chapter & Verse, Goodboys - Good For You 143. Belters Only - I Love You 144. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix)
In this episode of Spirit Box I'm joined by author and witch, Lee Morgan, to discuss his new title 'The Rag and Bone Man'. which is due out in November and is currently available for pre-order. Lee's work has been a big inspiration to me so it was a real pleasure to talk to him and we had a rich conversation that moved between witchcraft, storytelling, and the strange gothic landscapes of Tasmania.We talked about the genesis of The Rag and Bone Man, a project that began as a novel and grew into a fusion of fiction, research, and grimoire. Lee spoke about writing in trance-like states, about stories that come from spirits themselves, and about the way fiction can become the proper vessel for truths that can't be held by fact.From there we wandered into the realm of Tasmanian Gothic—its haunted histories, its spirits, and its place in Lee's search for a writer's voice between England, Australia, and Tasmania.In the Plus show we explored spiritualism, witchcraft, and the strange physical manifestations of mediumship, alongside the recurring motifs that weave through Lee's body of work.Our discussion also turned to the craft of writing: the patience it requires, the toll it can take, and the gift of treating creativity as a form of spiritual inheritance. Lee described how characters arrive as if alive, how stories can heal and transform, and how witchcraft itself deepens one's experience of the world.Along the way we touched on Irish myth, storytelling traditions, the relationship between spirit and text, and the global reach of Lee's magical writing.Show notes:The Rag and Bone Man https://www.crossedcrowbooks.com/shop...Lee's Patreon / u19417687 Lee's website https://www.leemorganbooks.com/Lee on Instagram / ensorsmasks Sounds of Infinity https://www.amazon.co.uk/Sounds-Infin...Rag and Bone man historical reference https://en.wikipedia.org/wiki/Rag-and...Keep in touch?https://linktr.ee/darraghmason
In this episode, we talked with Ranjitha Kulkarni, a machine learning engineer with a rich career spanning Microsoft, Dropbox, and now NeuBird AI. Ranjitha shares her journey into ML and NLP, her work building recommendation systems, early AI agents, and cutting-edge LLM-powered products. She offers insights into designing reliable AI systems in the new era of generative AI and agents, and how context engineering and dynamic planning shape the future of AI products.TIMECODES00:00 Career journey and early curiosity04:25 Speech recognition at Microsoft05:52 Recommendation systems and early agents at Dropbox07:44 Joining NewBird AI12:01 Defining agents and LLM orchestration16:11 Agent planning strategies18:23 Agent implementation approaches22:50 Context engineering essentials30:27 RAG evolution in agent systems37:39 RAG vs agent use cases40:30 Dynamic planning in AI assistants43:00 AI productivity tools at Dropbox46:00 Evaluating AI agents53:20 Reliable tool usage challenges58:17 Future of agents in engineering Connect with Ranjitha- Linkedin - https://www.linkedin.com/in/ranjitha-gurunath-kulkarniConnect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/
Learn how Coveo automated LLM migration like a "mind transplant," building frameworks to optimize prompts and maintain quality across model changes.Topics Include:AWS and Coveo discuss their Gen-AI innovation using Amazon Bedrock and Nova.Coveo faced multi-cloud complexity, data residency requirements, and rising AI costs.Coveo indexes enterprise content across hundreds of sources while maintaining security permissions.The platform powers search, generative answers, and AI agents across commerce and support.CRGA is Coveo's fully managed RAG solution deployed in days, not months.Customers see 20-30% case reduction; SAP Concur saves €8 million annually.Original architecture used GPT on Azure; migration targeted Nova Lite on Bedrock.Infrastructure setup involved guardrails and load testing for 70 billion monthly tokens.Migrating LLMs is like a "mind transplant"—prompts must be completely re-optimized.Coveo built automated evaluation framework testing 20+ behaviors with each system change.Nova Lite improved answer accuracy, reduced hallucinations, and matched GPT-4o Mini performance.Migration simplified governance, enabled regional compliance, reduced latency, and lowered costs.Participants:Sebastien Paquet – Vice President, AI Strategy, CoveoYanick Houngbedji – Solutions Architect Canada ISV, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
En este podcast estrenamos "La culpa", regreso de Floridablanca por todo lo alto y compartimos lo nuevo de Gorillaz con el rapero argentino, Trueno, "The Manifesto", que formará parte del próximo disco de Damon Albarn y compañía para 2026. Aparte, escuchamos lo nuevo de Sorry, de Fcukers, Walls, Sila Lua y Black Thought, es decir, Danger Mouse con The Roots, en esta ocasión con Rag'n'Bone Man como invitado. THE MOUNTAIN GOATS - Cold at NightVIVA SUECIA - Dolor y GloriaVIVA SUECIA - Bien Por TiSHARON VAN ETTEN & THE ATTACHMENt THEORY - I Can't Imagine (Why You Feel This)FLORIDABLANCA - La CulpaPARCELS - YougotmefeelingFCUKERS - I Like It Like ThisDANGER MOUSE & BLACK THOUGHT - Up (with Rag'n'Bone Man) GORILLAZ - The Manifesto ft. Trueno WALLS - Cuántas Penas Vale Tu AmorSILA LUA - Que me pasaTHE BELAIR LIP BOMBS- Back Of My HandWET LEG - PokemonSORRY - Today Might Be The HitHERMANA FURIA - Desde el Río Hasta el MarQUEEN - Bohemian RhapsodyEscuchar audio
This week, on episode 1 of season 9 of The RAG Podcast, I'm joined by Samm Green, co-founder of Few & Far, a UK-based product management recruitment business with 22 people and a powerful story of resilience.Samm was the very first guest I ever recorded on The RAG back in 2019, and at that time, he had big plans to scale to 40 staff and eventually exit. While some of that came true, the road since has been far from smooth.In this episode, Samm opens up about: - The financial and emotional toll of losing over £350,000 during the market downturn. - How burnout and stress led to physical illness and a trip to A&E. - The decision to rebuild and focus on profit, not just growth. - Why transparency and community have been key to recovery. - How he's turned the business around to be on track for £1m EBITDA in 2025.This is one of the most honest conversations I've ever had on The RAG. It's a story about resilience, leadership and learning what success really means when the pressure hits hardest.Chapters00:00 Sam Green's Journey02:53 The Growth and Challenges of Few&Far05:55 Navigating the Post-COVID Landscape09:00 The Impact of Financial Loss on Mental Health11:27 Lessons Learned from Redundancies and Business Cuts14:36 Rebuilding and Regaining Profitability17:20 The Importance of Mental Health in Business20:17 Strategies for Business Development and Community Building23:16 The Future of Recruitment in a Changing Market26:00 Personal Reflections and Future Aspirations28:48 Conclusion and Final Thoughts__________________________________________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...
Are dashboards dead? For complex enterprise use cases, the answer might be yes. In this episode, I'm joined by Irina Malkova (VP Data & AI at Salesforce), to discuss her team's transformational journey from building complex dashboards to deploying AI-powered conversational agents.We dive deep into how this shift is not just a change in tooling, but a fundamental change in how users access insights and how data teams measure their impact.Join us as we cover:The Shift from Dashboards to Agents: We discuss why dashboards can create a high cognitive load and fail users in complex scenarios , and how conversational agents in the flow of work (like Slack) provide targeted, actionable insights and boost adoption.What is Product Telemetry?: Irina explains how telemetry is evolving from a simple engineering observability use case to a critical data source for AI, machine learning, and recommendation systems.Why Standard RAG Fails in the Enterprise: Irina shares why typical RAG approaches break down on dense, entity-rich corporate data (like Salesforce's help docs) where semantic similarity isn't enough, leading to the rise of Graph RAG.The New, Measurable ROI of Data: How moving from BI to agents allows data teams to precisely measure impact, track downstream actions, and finally have a concrete answer to the ROI question that was previously impossible to justify.Data Teams as Enterprise Leaders: Why data teams are uniquely positioned to lead AI transformation, as they hold the enterprise "ontology" and have experience building products under uncertainty.
In today's episode we break down all your questions and tell the FULL story of Spennys injury during wine night 3.0. From the Emergency room, Lifeflight Airplane ride, waiting 3 days for surgery in a sketchy hospital, to his possible 3 year recovery. We then breakdown the never before seen bus crash Gavin and Evan had, Ryan's second Hummer Crash, And Kens $10k trip to Europe and our childish pranks. Enjoy the podcast and if you're new here please follow and rate us 5 stars! Sign up for your $1 per month trail at https://www.shopify.com/wideopen Connect with quality therapists and mental health experts who specialize in you at https://www.rula.com/WIDEOPEN #rulapod #ad Get up to $200 off Square hardware when you sign up at https://www.square.com/go/WIDEOPEN! #squarepod #ad Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code WIDEOPEN at www.rag-bone.com #ragandbonepod #ad To watch the podcast on YouTube: https://bit.ly/LifeWideOpenYT Don't forget to subscribe to the podcast for free wherever you're listening or by using this link: https://bit.ly/LifeWideOpenWithCboysTV 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/LifeWideOpenWithCboysTV You can also check out our main YouTube channel CboysTV: https://www.youtube.com/c/CboysTV Learn more about your ad choices. Visit podcastchoices.com/adchoices
Today on The Lonely Island and Seth Meyers Podcast, the guys discuss The Tizzle Wizzle Show (Jammy Shuffle) from the Christmas show 2009 with James Franco. But before they do that, they respond to your comments from last week's episode while wondering if Jorm is ever going to join. You'll have to listen to the whole thing to find out! They also talk about some sketches they missed from last week and some from this show, including Mark Wahlberg Talks to Christmas Animals, Office Christmas Presents with Jerry and Carl, and Underground Festival with a special voice note from Michael O'Brien! The Tizzle Wizzle Show (Jammy Shuffle) | https://youtu.be/am6jQEanzvA?si=f4zakjjz7xKnfn-P Jake Tapper's drawing | https://www.instagram.com/p/DPR4rDhklDf Mark Wahlberg Talks to Christmas Animals | https://www.youtube.com/watch?v=sZSu0sgtA68 Office Christmas Presents (Jerry and Carl) | https://www.youtube.com/watch?v=8cP9BM2W-vc What Up With That?: Jack McBrayer & Mike Tyson) | https://www.youtube.com/watch?v=njcwA-HvL3U Che confronting Ye https://youtu.be/CzESR3iAOSA?si=HmTfNDvLRquxNOSs Underground Festival | https://www.youtube.com/watch?v=z8nsOZb4JL0 Not all the clips we mention are available online; some never even aired. Send us an email: thelonelyislandpod@gmail.com Send us a voice note: https://www.speakpipe.com/thelonelyisland Send Jorma stuff: P.O. Box 4024 New York, NY 10185 Photos and everything else can be found by following us on Instagram @thelonelyislandpod Support our sponsors: Rag and Bone Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code ISLAND at rag-bone.com #ragandbonepod Factor Eat smart at FactorMeals.com/ISLAND50OFF and use code ISLAND50OFF to get 50% off your first box, plus Free Breakfast for 1 Year. *Offer only valid for new Factor customers with code and qualifying auto-renewing subscription purchase. Quince Make your bed the coziest place in the house this fall—with Quince. Go to Quince.com/ISLAND for free shipping on your order and 365-day returns. Now available in Canada, too. Learn more about your ad choices. Visit megaphone.fm/adchoices
In this episode of BRAVE COMMERCE, Rachel Tipograph and Sarah Hofstetter sit down with Megan Frank, SVP of Marketing and R&D at Mizkan, the 221-year-old, family-owned food company behind iconic brands like RAGÚ, Bertolli, Nakano, and the newly acquired Zing Zang.With a portfolio of legacy brands that have stood the test of time, Megan shares how she keeps them relevant to today's consumer while staying true to their roots. She discusses the importance of preserving core brand assets, creating a culture of empowerment, and leveraging frameworks like OGSM to connect long-term vision to short-term action.Megan also explains how her team drives speed and agility within a family-owned structure, how retail partnerships are managed through data-backed joint business planning, and why consolidating media and shopper marketing under one team has unlocked more seamless consumer journeys.Key takeaways:Legacy brands can move fast. Clear vision and accountability empower teams to act with speed across functions.Relevance requires evolution. Megan shares how timeless assets and modern activations work together to engage new consumers.Data drives accountability. A custom measurement model helps Mizkan shift retailer conversations toward results-based planning. Hosted on Acast. See acast.com/privacy for more information.
В этом выпуске разбираемся, что такое векторные базы данных – зачем они понадобились, если есть SQL и текстовый поиск, как устроены под капотом и в чём их ключевое отличие от привычных подходов. Объясняем простыми словами: как данные превращаются в векторы, как по ним происходит быстрый поиск и почему это вообще работает. В гостях Андрей Васнецов – основатель Qdrant. Вместе обсуждаем, откуда пошёл хайп, что изменилось с приходом LLM, как на практике применяются векторные базы (не только в RAG), какие есть популярные движки и встроенные решения в Postgres и ClickHouse, а также с какими подводными камнями, ограничениями и компромиссами сталкиваются команды при работе. Партнёр команды Podlodka — наши давние друзья @AvitoTech. Это команда с крутыми процессами, культурой здравого смысла и эксперимента. Узнать про их технологии, подходы и прокачку компетенций в командах можно по ссылкам: Статья “Как DS-инженеры совершенствуют автогенерацию описаний и пополняют индекс объявлений Авито” https://clc.to/G1TJ5g Статья “Как аналитики Авито с помощью ML помогают людям выбирать хорошие авто с пробегом” https://clc.to/TMFC5A Реклама. ООО "Авито Тех”, ИНН 9710089440, erid:2SDnjdPnvxw Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях! Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Андрей Смирнов, Егор Толстой Полезные ссылки: Интервью Осетинской https://youtu.be/_GwPpxtMcNs Андрей в подкасте TeamleadTalks https://youtu.be/agYxjnc8mdU Главная разработка Андрея https://github.com/qdrant
PATREON: https://www.patreon.com/YouShouldKnowPodcast FACEBOOK: https://www.facebook.com/people/You-Should-Know-Podcast/61552092953106/ NEW TWITCH CHANNEL: https://m.twitch.tv/peytonhardin/home Peyton's Polaroids: https://instagram.com/peytonpolaroids?igshid=MzRlODBiNWFlZA== TRUE VAULT ESCAPADES: https://youtube.com/@AtomicWolf54 00:00 NEW THINGS COMING 2:19 CAM JOINS 7:35 PUBLIC GYM FACIAL 14:21 LOCKER ROOM HORROR STORY 18:04 SHOWER SLIP AND SLIDE 21:43 DRAFT KINGS 23:14 PUNCHING LOCKER OPEN 25:49 TARZAN CLUB 31:28 SMALL FACED BURGLAR 37:43 BETTER HELP 38:58 CREATE A PERSON GAME 49:22 RIDGE 51:02 HOW TO EAT STRAWBERRIES 57:49 BATTLE SCARRED KNEES 1:00:24 RAG & BONE 1:02:20 TRASH TALK STUTTER 1:07:38 24 HOUR MILE CHALLENGE 1:12:23 POP CULTURE: WWE & SPORTS 1:17:19 ANNOUNCEMENTS Todays Sponsors: Draft Kings Casino - New players get 500 spins over 10 DAYS on your choice of Cash Eruption slots when you wager five dollars. Play classic Cash Eruption today, then Red Hot Joker or Coins and Clovers tomorrow—it's all up to you! Get the app, sign up with code YSK Better Help - Our listeners get 10% off their first month at http://betterhelp.com/ysk #ad Ridge - One thing to pack, five ways to power! Get 10% Off @Ridge with code YSK at http://ridge.com/ysk #Ridgepod Rag & Bone - Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code YSK at http://rag-bone.com #ragandbonepod YouShouldKnow P.O. BOX 191564 2825 Oak Lawn Ave Dallas, Texas 75219 FOLLOW PEYTON: https://instagram.com/psh8?igshid=ZDg1NjBiNjg= JOIN THE DISCORD: https://discord.gg/V5WYhSte2R Learn more about your ad choices. Visit podcastchoices.com/adchoices
Quelles recherches, quelles découvertes ont retenu l'attention de nos consœurs et confrères de la presse scientifique ce mois-ci ? Avec Vincent Nouyrigat , Epsiloon : Grandeur et décadence du paresseux géant Franck Daninos, Sciences et Avenir : Seuls ? À la recherche de la vie extraterrestre Philippe Hénarejos, Ciel & Espace : 2023 : et si un astéroïde frappait la lune ? François Lassagne, Pour la Science : Ce que notre santé doit à la vie sociale des mitochondries Elsa Couderc, The Conversation : Comment commence un cancer ? Musiques diffusées pendant l'émission - Grand Corps Malade – Ensemble - Clara Luciani - La grenade - Calvin Harris, Rag'n'bone Man – Giant - Luedji Luna, Seu Jorge – Apocalipse (Playlist RFI) - Lykke Li - Possibility.
Quelles recherches, quelles découvertes ont retenu l'attention de nos consœurs et confrères de la presse scientifique ce mois-ci ? Avec Vincent Nouyrigat , Epsiloon : Grandeur et décadence du paresseux géant Franck Daninos, Sciences et Avenir : Seuls ? À la recherche de la vie extraterrestre Philippe Hénarejos, Ciel & Espace : 2023 : et si un astéroïde frappait la lune ? François Lassagne, Pour la Science : Ce que notre santé doit à la vie sociale des mitochondries Elsa Couderc, The Conversation : Comment commence un cancer ? Musiques diffusées pendant l'émission - Grand Corps Malade – Ensemble - Clara Luciani - La grenade - Calvin Harris, Rag'n'bone Man – Giant - Luedji Luna, Seu Jorge – Apocalipse (Playlist RFI) - Lykke Li - Possibility.
A true clearance rack episode for us covering a ton of different style topics — a mea culpa moment for Berghain, the format of Tom Sachs recent drop, mid-range men's fall footwear, designer strollers, an "Are we doing...?" segment, Erewhon goes nationwide, batch cocktails, nostalgic ski hats, Taylor possibly appearing at ACL, wishlist items, and more.Subscribe to the newsletter: retailpod.substack.com willdefries.substack.com Shop the Sunday Scaries Scented Candles: www.vellabox.com/sundayscariesWatch all Retail Therapy episodes on YouTube: www.youtube.com/sundayscariespodcastSupport This Week's SponsorsShopify: www.shopify.com/scaries ($1/month trial!)Rag & Bone: www.rag-bone.com (SCARIES for 20% off)Follow AlongRetail Therapy on Instagram: www.instagram.com/retail.podWill deFries on Twitter: www.twitter.com/willdefriesWill deFries on Instagram: www.instagram.com/willdefries Barrett Dudley on Twitter: www.twitter.com/barrettdudleyBarrett Dudley on Instagram: www.instagram.com/barrettdudleySunday Scaries on Twitter: www.twitter.com/sundayscariesSunday Scaries on Instagram: www.instagram.com/sunday.scaries
01. Joezi, Lizwi - Amathole (Record Mix) 02. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 03. Fisher, Flowdan - Boost Up (Record Mix) 04. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 05. Dubdogz, Zerky - Sun Goes Down (Sound Of Violence) (Record Mix) 06. Robin Schulz, David Guetta - On Repeat (Record Mix) 07. Armand Van Helden, Salvatore Mancuso - my my my (Record Mix) 08. Ava Max - Don't Click Play (Record Mix) 09. J Balvin, Willy William, Gonsu, Jenia Smile, Ser Twist - Mi Gente (Record Mix) 10. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 11. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 12. R3Hab, Mufasa, Rani - Believe (Record Mix) 13. Nicky Romero, Giacobbi, Fatboi - Move It (Record Mix) 14. Kaz James - Sun Is Shining (Record Mix) 15. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 16. Stefy De Cicco, Ben Hamilton, Martin Jensen - Day 'N' Nite (Record Mix) 17. Oneil, Kanvise, Murana - Redlight (Record Mix) 18. Semm, Orfa - How Deep Is Your Love (Record Mix) 19. Calvin Harris, Dua Lipa - One Kiss (Record Mix) 20. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 21. Shane Codd - Rather Be Alone (Record Mix) 22. Dj Dimixer, Dante, Dmitrii G - Only you (Record Mix) 23. Argy, Omiki - WIND (Record Mix) 24. Lucas & Steve - Push The Feeling (Record Mix) 25. Mind Electric - Things You Say (Record Mix) 26. Coldplay, Avicii - A Sky Full of Stars (Record Mix) 27. Byor - Superstar 28. Faul, Wad, Pnau - Changes (Record Mix) 29. Otnicka - Celebrate the Love (Record Mix) 30. Swedish House Mafia, Niki, The Dove - Lioness 31. Jax Jones, Martin Solveig - All Day & Night (Record Mix) 32. Pierse, Blair - Bitter Sweet Symphony (Record Mix) 33. Don Diablo - Freek Like Me 34. Sean Finn - Crazy (Record Mix) 35. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 36. Avicii - Fade into Darkness (Record Mix) 37. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 38. Dynoro, Gigi D'Agostino - In My Mind... (Record Mix) 39. Pete Tong, Roro, Jules Buckley, The Essential Orchest - Rhythm Of The Night (Record Mix) 40. Oliver Heldens, Becky Hill - Gecko (Overdrive) (Record Mix) 41. Akcent, Sera, Misha Miller - Don't Leave (Kylie) (Record Mix) 42. Basto!, Yves V - Cloud Breaker (Record Mix) 43. Eelke Kleijn, Joris Voorn - Transmission (Record Mix) 44. Alok, Daecolm, Malou - Unforgettable (Record Mix) 45. Playmen, Damiano, Michael Tsaousopoulos, Ferrylake - Naked (Record Mix) 46. Jerome Robins, Karsten Sollors - Don't Stop The Music (Record Mix) 47. Modjo - Lady (Hear Me Tonight) (Record Mix) 48. Clean Bandit, Anne-Marie, David Guetta - Cry Baby (Record Mix) 49. Robin Schulz, Erika Sirola - Speechless (Record Mix) 50. Avalan Rokston, Alex Caspian - Something to Believe In (Record Mix) 51. Alexander Popov, Whiteout, Vaileri - Need to Feel Loved (Record Mix) 52. Imanbek, Younotus - Heal My Heart (Record Mix) 53. Ofenbach - Be Mine (Record Mix) 54. Arei, Dj Lev - Du Hast (Record Mix) 55. Junior Jack - Stupidisco (Record Mix) 56. Armin Van Buuren, Sam Gray - Dream a Little Dream (Record Mix) 57. Relanium, Deen West - Leel Lost (Record Mix) 58. Weiss, Harry Romero - Where Do We Go (Record Mix) 59. Klaas - The Way (Record Mix) 60. Bob Sinclar - Cruel Summer (Record Mix) 61. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 62. Marc Korn, Danny Suko, Heart Fx - Every Breath You Take (Record Mix) 63. Lady Gaga, Dj Dark - The Dead Dance (Record Mix) 64. Shane Codd - Get Out My Head (Record Mix) 65. Annabell Kowalski - Hey Boy Hey Girl (Record Mix) 66. Dj Snake, Bipolar Sunshine - Paradise (Record Mix) 67. Adam Lambert - Ghost Town (Record Mix) 68. Marshmello, Jonas Brothers, Alex Caspian - Slow Motion (Record Mix) 69. Tiesto, Bia, 21 Savage - Both (Record Mix) 70. R.I.O., Gonsu, Jenia Smile, Ser Twister - Shine On (Record Mix) 71. Alok, Gryffin, Julia Church - Never Letting Go (Record Mix) 72. Zerb, Sofiya Nzau - Mwaki (Record Mix) 73. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 74. Shouse - Love Tonight (Record Mix) 75. Fedde Le Grand - Got Your Money (Record Mix) 76. Joel Corry, Jennifer Lopez - Get Right 77. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 78. Cedric Gervais, Sick Individuals - Feel Better 79. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 80. Martin Jensen, Fastboy - One Day (Record Mix) 81. Nicky Romero - All Night Long 82. Axwell, Ingrosso - More Than You Know (Record Mix) 83. Kddk, Alex Alta - 1&2 (Record Mix) 84. Rompasso, Bedanokov - In the Dark (Record Mix) 85. Maurizio Basilotta, Mf Productions - You're Not Alone (Record Mix) 86. Don Diablo, Nelly Furtado - Doing Nothin' 87. Avicii - Wake Me Up (Record Mix) 88. Fisher, Flowdan - Boost Up (Record Mix) 89. Oneil, Kanvise, Smola - Boys (Record Mix) 90. Lufthaus, Sophie Ellis-Bextor - Immortal (Record Mix) 91. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 92. Alle Farben, Graham Candy, Lahos - Flowers (Record Mix) 93. Teriyaki Boyz, Hayat - Tokyo Drift (Record Mix) 94. Maesic, Marshall Jefferson, Salome Das - Life Is Simple (Record Mix) 95. Felix, Charlotte Haining, Switch Disco - I Found You (Record Mix) 96. Tiesto, Soaky Siren - Tantalizing (Record Mix) 97. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 98. Eric Prydz - Proper Education (Record Mix) 99. Filatov & Karas - Time Won't Wait (Record Mix) 100. Matt Sassari, Sidepiece - Elektro (Record Mix) 101. Shouse, Cub Sport - Only You (Record Mix) 102. Big Gigantic, Parson James, Bryn Christopher - Sweetest Sacrifice 103. Charli Xcx, Sam Smith - In The City (Record Mix) 104. Noizu - Summer 91 (Looking Back) (Record Mix) 105. Cyril, James Blunt - Tears Dry Tonight 106. Faul & Wad, Nico & Vinz, Altego, Old Jim - How I Feel (Am I Wrong) (Record Mix) 107. Lilly Wood, Prick, Robin Schulz - Prayer In C (Record Mix) 108. Doechii, Dj Dark - Anxiety (Record Mix) 109. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 110. Dimitri Vegas, Chapter & Verse, Goodboys - Good For You 111. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 112. Iommi, Micah, Perfect Pitch, Alex Caspian - Up And Down (Record Mix) 113. Gregory Porter, Jonas Blue - Liquid Spirit (Record Mix) 114. Semm, Orfa - How Deep Is Your Love (Record Mix) 115. Steve Angello - Me 116. Fred Again.., The Blessed Madonna - Marea (Weve Lost Dancing) (Record Mix) 117. Otnicka, Kaskeiyp - For an Angel (Record Mix) 118. Redondo, Shayee - Feeling Good (Record Mix) 119. Twocolors - Heavy Metal Love (Record Mix) 120. Block & Crown, Mike Ferullo - Let the Music Play 121. Kygo, Ava Max, Tiesto - Whatever (Record Mix) 122. Diplo, Maren Morris - 42 (Record Mix) 123. Basto! - I Rave You (Record Mix) 124. Dante Klein - Gotta Feel 125. Avicii, Dan Tyminski - Hey Brother (Record Mix) 126. Joezi, Lizwi - Amathole (Record Mix) 127. Swedish House Mafia, Pharell - One (Your Name) (Record Mix) 128. Argy, Omiki - WIND (Record Mix) 129. Max Oazo - Gimme! Gimme! Gimme! (Record Mix) 130. Alok, Ella Eyre, Kenny Dope, Never Dull - Deep Down (Record Mix) 131. Melsen, Dwight Steven - One More Night 132. R3Hab, Vize, Jp Cooper, Amice - Jet Plane (Record Mix) 133. David Guetta, Anne-Marie, Coi Leray - Baby Don't Hurt Me (Record Mix) 134. Huntr-X, Ejae, Audrey Nuna, Rei Ami, Dj Dark - Golden (Record Mix) 135. Zerb, Sofiya Nzau, Izzy Bizu - Kumbaya (Record Mix) 136. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 137. Oneil, Kanvise, Murana - Redlight (Record Mix) 138. Nicky Romero, Giacobbi, Fatboi - Move It (Record Mix) 139. Global Deejays, Jenia Smile, Ser Twister - The Sound Of San Francisco (Record Mix) 140. One-T, Ywy, Nika - The Way To Love (Record Mix) 141. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 142. Dj Louis - Let Me Blow Ya Mind 143. Robin Schulz, Jasmine Thompson - Sun Goes Down (Record Mix) 144. Lucas & Steve, Laura White - Are You Ready
Dana Love, founder of PoobahAI (exited 5 companies, PhD in economics), breaks down why Web3 lags mainstream adoption and how AI-built software can unlock the space: “the future of Web3 is coding without coders.” We cover: the zero→one grind, macro shifts (globalization → nationalization), inflation realities, and why blockchains need to drop the barrier to projects, devs, and users. Dana shares Poobah's approach—virtual co-founder, multi-chain no/low-code, pre-audited on-chain digital objects, and real showcases (NFT ticketing, RWA real estate, car auction). We also talk go-to-market (students & exec MBAs), chain partnerships, and their seed round.Timestamps[00:00] Dana's thesis: coding without coders is Web3's future[00:01] Background: exits, policy PhD, AI/ML → crypto since 2011[00:02] Patterns from 5+ exits: first $1 of revenue + investment; hearing “your baby is ugly”[00:04] Macro: globalization → nationalization; inflation dynamics & wages[00:07] Startup stages: 0→1 vs 1→10 vs 10→50—don't over-process the first customer[00:08] Why Web3 adoption lags: tooling, UX, paucity of devs/projects/users[00:10] Public vs private chains; why transparency is a feature for upstarts[00:11] Naming Poobah & the “many hats” founder[00:12] Poobah overview: virtual co-founder, on-chain generation, digital objects (pre-audited contracts)[00:15] Code quality: making no-code generate good code; best-practice RAG/context[00:17] Focus: Web3 first—massive untapped value[00:18] GTM: students, MBAs, exec MBAs → enterprise wedge[00:19] Case: Princeton CS student ships NFT ticketing as a vibe-coder[00:20] B2B: chain licenses to drop coding barrier to near-zero[00:22] The “hackathon circus” & why broadening the builder base matters[00:23] Non-dev creators as founders: fine-arts → sticky NFTs[00:24] The Shopify moment for Web3 (payments/regulatory context)[00:27] RWAs: real estate fractionalization; car auctions; built in weeks[00:30] Will AI replace devs? Senior vs junior leverage; law firm analogy[00:36] Market will rebalance skills & pay; seniors x AI = force multiplier[00:37] Roadmap (6–12 mo): low-code launch → no-code, multi-chain MCP, virtual co-founder[00:38] The ask: chain partnerships, seed syndication, universities & exec MBAsConnecthttps://poobah.ai/https://www.linkedin.com/company/poobahai/https://www.linkedin.com/in/danalove/https://x.com/DanaFLoveDisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/
In this episode, I sit down with Saket Saurabh (CEO of Nexla) to discuss the fundamental shift happening in the AI landscape. The conversation is moving beyond the race to build the biggest foundational models and towards a new battleground: context. We explore what it means to be a "model company" versus a "context company" and how this changes everything for data strategy and enterprise AI. Join us as we cover:Model vs. Context Companies: The emerging divide between companies building models (like OpenAI) and those whose advantage lies in their unique data and integrations.The Limits of Current Models: Why we might be hitting an asymptote with the current transformer architecture for solving complex, reliable business processes. "Context Engineering": What this term really means, from RAG to stitching together tools, data, and memory to feed AI systems. The Resurgence of Knowledge Graphs: Why graph databases are becoming critical for providing deterministic, reliable information to probabilistic AI models, moving beyond simple vector similarity. AI's Impact on Tooling: How tools like Lovable and Cursor are changing workflows for prototyping and coding, and the risk of creating the "-10x engineer." The Future of Data Engineering: How the field is expanding as AI becomes the primary consumer of data, requiring a new focus on architecture, semantics, and managing complexity at scale.
In this episode, we talk about practical guardrails for LLMs with data scientist Nicholas Brathwaite. We focus on how to stop PII leaks, retrieve data, and evaluate safety with real limits. We weigh managed solutions like AWS Bedrock against open-source approaches and discuss when to skip LLMs altogether.• Why guardrails matter for PII, secrets, and access control• Where to place controls across prompt, training, and output• Prompt injection, jailbreaks, and adversarial handling• RAG design with vector DB separation and permissions• Evaluation methods, risk scoring, and cost trade-offs• AWS Bedrock guardrails vs open-source customization• Domain-adapted safety models and policy matching• When deterministic systems beat LLM complexityThis episode is part of our "AI in Practice” series, where we invite guests to talk about the reality of their work in AI. From hands-on development to scientific research, be sure to check out other episodes under this heading in our listings.Related research:Building trustworthy AI: Guardrail technologies and strategies (N. Brathwaite)Nic's GitHubWhat did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.
Why you should listenGarima Agrawal bridges the gap between PhD-level AI research and practical consulting applications—she understands both the Formula One engine and how to help you drive the car better.Learn the layered prompting technique that eliminates most hallucinations and turns ChatGPT into a thinking partner rather than a content generator you can't trust.Discover which LLM to use for specific tasks—ChatGPT for analysis, Claude for coding, Gemini for technical research, and Perplexity for citations—so you stop wasting time with the wrong tool.You're using ChatGPT every day, but deep down you don't fully trust it. You've been burned by hallucinations. You watch it confidently give you wrong information, and you're left wondering which parts are reliable and which parts are fiction. You know AI should be making you more productive, but instead you're second-guessing every output and spending more time fact-checking than creating. Meanwhile, you see other consultants talking about Claude, Gemini, Perplexity—and you're not sure if you should be using those instead or if ChatGPT is fine. You're stuck in this loop of knowing AI is powerful but not knowing how to harness it properly. This week, I sat down with Garima Agrawal, who brings a rare combination: PhD-level AI research expertise and real-world consulting experience running her own firm. She breaks down the exact framework that eliminates most hallucinations, reveals which LLM actually performs best for specific consulting tasks, and shares the prompting mistakes that sabotage your results before you even start. If you're ready to stop fighting with AI and start using it as the leverage tool it should be, this conversation gives you the practical roadmap you need.About Garima AgrawalGarima Agrawal is the founder of HumaConn LLC, a consulting firm focused on empowering businesses and investors with tailored AI solutions. At HumaConn, she specializes in designing strategies for effective AI integration—helping clients enhance efficiency, streamline operations, and identify high-potential AI-driven opportunities that bridge innovation with real-world impact.She also serves as Head of AI Models and Services at Minerva CQ, where she leads the development and deployment of real-time, goal-oriented AI systems that power agentic, human-in-the-loop assistance in customer contact centers—boosting engagement and operational performance.Garima holds a Ph.D. in Artificial Intelligence from Arizona State University, where her research focused on making AI knowledge-aware—enabling large language models to reason reliably in specialized domains. Her core expertise includes reducing hallucinations, optimizing retrieval-augmented generation (RAG), and building cost-effective, trustworthy AI pipelines.With over a decade of experience spanning software engineering, data science, and AI leadership, Garima bridges the gap between cutting-edge research and real-world application—helping organizations build AI that delivers meaningful, measurable results.Resources and LinksHumaconn.comGarima's LinkedIn profileGarima's Google Scholar profileChatGPTClaudeGemini
Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model.Featuring:Rajiv Shah – LinkedIn Daniel Whitenack – Website, GitHub, XUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
AI is moving fast and if you're not keeping up, you're falling behind. In this episode of Lunch With Norm, Norm Farrar sits down with Steve Chou to unpack how sellers can actually implement AI in 2025 to drive revenue, boost conversions, and save time across Amazon and DTC. ✅ You'll learn how to: - Use AI to improve onsite search and 4x search-driven revenue - Build AI-powered upsells and cross-sells like Amazon - Create a RAG database to reduce hallucinations in customer service - Find and segment your highest-LTV customers using smart AI signals - Leverage tools like Gemini, Gamma, Base44, Lovable, Fly.io, 11Labs, and NotebookLM - Turn AI into a creative team: from email to content to chatbot to product research Plus: - How Steve built a fully automated cigar rating app in 2 days - What Shopify store owners should stop ignoring right now - Why “no-code” tools may be holding you back - Pro prompt tips to get better output from ChatGPT and Claude - What AI creators need to watch out for (hint: lawsuits, ADA compliance, hallucinations) This episode isn't about the theory of AI, it's a full breakdown of how to tactically implement AI systems today to make your brand smarter and more scalable.
Everyone's talking about Agentic AI, but beyond the buzz, what's actually happening on the ground? The mnemonic security podcast is continuing to dive into the world of Agentic AI in our latest episode, recorded live at Sikkerhetsfestivalen.For this episode, Robby is joined by fellow podcaster (CloudFirst Podcast and KI til Kaffen) Marius Sandbu. They look at real-world implementations of agent-based systems, particularly what's been done in Norway. And try to answer the question: are we ahead, behind, or just cautious?They also discuss lessons learned from local projects, the current state of the global ecosystem, and what it really takes to make Agentic AI useful; diving into integration concepts like MCP and RAG, and how they're being applied in practice.Send us a text
01. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 02. One-T, Ywy, Nika - The Way To Love (Record Mix) 03. Don Diablo - The Way I Are (Record Mix) 04. Tujamo, Azteck, Inna - Freak (Record Mix) 05. R.I.O., Gonsu, Jenia Smile, Ser Twister - Shine On (Record Mix) 06. Misha Miller, Alexvelea, Bodega - Bam Bam (Record Mix) 07. Morgan Page, Telykast - Dancing All Alone (Record Mix) 08. Hypaton, David Guetta, La Bouche - Be My Lover (Record Mix) 09. Zerb, Sofiya Nzau - Mwaki (Record Mix) 10. Crazibiza - Fresh (Record Mix) 11. Oceana, Bodybangers - Endless Summer (Record Mix) 12. Dj Snake, Bipolar Sunshine - Paradise (Record Mix) 13. Moby, Blond Ish, Kiko Franco - Natural Blues (Record Mix) 14. Bolier, Joe Stone, Voost - Keep This Fire Burning (Record Mix) 15. Avicii, Dan Tyminski - Hey Brother (Record Mix) 16. Melsen - Be Your Lover 17. Richard Grey - At Night (Record Mix) 18. Dimitri Vegas, Like Mike, Ne-Yo - Higher Place (Record Mix) 19. Lady Gaga, Dj Dark - The Dead Dance (Record Mix) 20. Nicky Romero, Barmuda - Fade Away 21. Kungs - Never Going Home (Record Mix) 22. Lucas & Steve, Lawrent, Jordan Shaw - End Of Time (Record Mix) 23. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 24. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 25. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 26. Alok, Daecolm, Malou - Unforgettable (Record Mix) 27. Diplo, Miguel - Don't Forget My Love (Record Mix) 28. Noizu - Summer 91 (Looking Back) (Record Mix) 29. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 30. Faul & Wad, Nico & Vinz, Altego, Old Jim - How I Feel (Am I Wrong) (Record Mix) 31. Basto! - Again & Again (Record Mix) 32. Cyril, Dean Lewis, Amice - Fall At Your Feet (Record Mix) 33. Teriyaki Boyz, Hayat - Tokyo Drift (Record Mix) 34. Shane Codd - Rather Be Alone (Record Mix) 35. Fisher, Flowdan - Boost Up (Record Mix) 36. Eelke Kleijn, Joris Voorn - Transmission (Record Mix) 37. Kanvise, Lew Heart, Falcoma - All Good Things (Record Mix) 38. Dom Dolla, Clementine Douglas - Miracle Maker (Record Mix) 39. Axwell, Ingrosso - More Than You Know (Record Mix) 40. Oneil, Dj Dimixer - Children (Record Mix) 41. Anna Naklab, Younotus, Alle Farben - Supergirl (Record Mix) 42. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 43. Ive, David Guetta - Supernova Love (Record Mix) 44. Demi Lovato - Fast (Record Mix) 45. Jax Jones, Martin Solveig - All Day & Night (Record Mix) 46. John Summit - La Danza (Record Mix) 47. Tim Berg - Seek Bromance (Record Mix) 48. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 49. Lola Young, Ted Bear - Messy (Record Mix) 50. Aria, Na-No - Bleu Chanel (Record Mix) 51. Maesic, Marshall Jefferson, Salome Das - Life Is Simple (Record Mix) 52. Rain Radio, Dj Craig Gorman - Talk About (Record Mix) 53. Tiesto, Soaky Siren - Tantalizing (Record Mix) 54. Argy, Omnya - Aria (Record Mix) 55. Alok, Ava Max - Car Keys (Ayla) (Record Mix) 56. Darude, Glazur, Xm - Sandstorm (Record Mix) 57. Joe Stone, Ferreck Dawn - Man Enough (Record Mix) 58. Rob Laniado - Vibing 59. Joel Corry, Pickle, Vula - Stay Together (Baby Baby) (Record Mix) 60. Anyma, Ellie Goulding - Hypnotized (Record Mix) 61. Annabell Kowalski - Hey Boy Hey Girl (Record Mix) 62. Loreen - Warning Signs (Record Mix) 63. Felix Jaehn, Shouse - Walk With Me (Record Mix) 64. Gorgon City, Romans - Saving My Life (Record Mix) 65. Genesi, Innellea, Meduza, Nu-La - Edge Of The World 66. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 67. Twocolors, Safri Duo, Chris De Sarandy - Head Above Water (Record Mix) 68. Rompasso, Bedanokov - In the Dark (Record Mix) 69. Otnicka, Kaskeiyp - For an Angel (Record Mix) 70. Playmen, Damiano, Michael Tsaousopoulos, Ferrylake - Naked (Record Mix) 71. Alle Farben, Graham Candy, Lahos - Flowers (Record Mix) 72. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 73. Basto! - I Rave You (Record Mix) 74. Joezi, Lizwi - Amathole (Record Mix) 75. Topcover - First Day (Record Mix) 76. Pete Tong, Roro, Jules Buckley, The Essential Orchest - Rhythm Of The Night (Record Mix) 77. Titov - Philosophy (Record Mix) 78. Dua Lipa, Imanbek - Love Again (Record Mix) 79. Mirko Donnini - Thinking of You (Record Mix) 80. Matt Sassari, Sidepiece - Elektro (Record Mix) 81. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 82. Calvin Harris, Ellie Goulding - Outside (Record Mix) 83. Murdbrain, Theajsound, Rachel Morgan Perry - Save Me (Record Mix) 84. Iommi, Micah, Perfect Pitch, Alex Caspian - Up And Down (Record Mix) 85. Akcent, Sera, Misha Miller - Don't Leave (Kylie) (Record Mix) 86. Zhu - Faded (Record Mix) 87. Bassjackers - Wrong Or Right (The Riddle) (Record Mix) 88. Oneil, Kanvise, Smola - Boys (Record Mix) 89. Lana Del Rey, Kevin Blanc - Young & Beautiful (Record Mix) 90. Galantis - Runaway (U & I) (Record Mix) 91. Arei, Dj Lev - Du Hast (Record Mix) 92. David Zowie - House Every Weekend (Record Mix) 93. Max Oazo - Gimme! Gimme! Gimme! (Record Mix) 94. Argy, Omiki - WIND (Record Mix) 95. Fisher - Losing It (Record Mix) 96. Marshmello, Jonas Brothers, Alex Caspian - Slow Motion (Record Mix) 97. Lost Culture, Morfi, Carine - Lean On (Record Mix) 98. Imanbek, Younotus - Heal My Heart (Record Mix) 99. Dante Klein - Gotta Feel 100. Rue Jay - I Want Your Love 101. Empire Of The Sun, Tony Romera - Walking on a dream (Record Mix) 102. Armin Van Buuren, Maia Wright - One More Time (Record Mix) 103. Robin Schulz, Cyril, Sam Martin - World Gone Wild (Record Mix) 104. Pierse, Blair - Bitter Sweet Symphony (Record Mix) 105. Avicii - Wake Me Up (Record Mix) 106. Martin Jensen, Fastboy - One Day (Record Mix) 107. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 108. David Guetta - Family Affair (Dance For Me) (Record Mix) 109. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 110. C-Bool, Giang Pham - DJ Is Your Second Name (Record Mix) 111. Mentol, Aden - I Could Be The One (Record Mix) 112. Cid - Pass Out 113. Lykke Li, The Magician - I Follow Rivers (Record Mix) 114. R.I.O., Gonsu, Jenia Smile, Ser Twister - Shine On (Record Mix) 115. Semm, Orfa - How Deep Is Your Love (Record Mix) 116. Galwaro, Lizot, Gabry Ponte - Like a Prayer (Record Mix) 117. Doechii, Dj Dark - Anxiety (Record Mix) 118. Drenchill, Indiiana - Feel This Way (Record Mix) 119. Lufthaus, Sophie Ellis-Bextor - Immortal (Record Mix) 120. Alle Farben - Bad Ideas (Record Mix) 121. Joel Corry, Jennifer Lopez - Get Right 122. Lost Frequencies, Dimaro - Are You With Me (Record Mix) 123. Oliver Heldens, Weibird - Out of Love (Record Mix) 124. Fast Boy, Raf, Amice - Wave (Record Mix) 125. Moby, Blond Ish, Kiko Franco - Natural Blues (Record Mix) 126. Fred Again.., The Blessed Madonna - Marea (Weve Lost Dancing) (Record Mix) 127. Alok, Agents Of Time - Fever 128. Armin Van Buuren, Sam Gray - Dream a Little Dream (Record Mix) 129. Feder, Emmi - Blind (Record Mix) 130. Richard Grey - At Night (Record Mix) 131. Don Diablo - Momentum (Record Mix) 132. David Guetta, Sia - Beautiful People (Record Mix) 133. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 134. Melsen, Dwight Steven - One More Night 135. Swedish House Mafia, Pharell - One (Your Name) (Record Mix) 136. Goodboys, Nu Aspect, Avaion - Blindspot (Record Mix) 137. Dubdogz, Zerky - Sun Goes Down (Sound Of Violence) (Record Mix) 138. Sevdaliza, Yseult, Pabllo Vittar, Tiesto - Alibi (Record Mix) 139. Boney M, R3Hab - Sunny (Record Mix) 140. Bob Sinclar - Cruel Summer (Record Mix) 141. Faul & Wad, Nico & Vinz, Altego, Old Jim - How I Feel (Am I Wrong) (Record Mix) 142. Bassjackers, Kshmr, Sirah - Memories (Record Mix) 143. Zerb, Sofiya Nzau - Mwaki (Record Mix) 144. Shouse, Cub Sport - Only You (Record Mix)
"85% of AI use cases are being evaluated by the engineer who built it saying, 'yep, seemed to work pretty well.' If you're gonna build a system that's going to be critical to the business, that's going to be important that it gets it right, then you can't do that without evaluations." - Craig Wiley Fresh out of the studio, Craig Wiley, Senior Director of Product Management at Databricks who leads Mosaic AI, joins us to discuss the forefront of enterprise AI from model development to deployment at scale. Beginning with his career journey in ML operations, Craig explained how he recognized the critical connection between data and AI layers that could deliver order-of-magnitude acceleration in development cycles. Emphasizing the transition from classical ML operations to LLM operations, he showcased how Databricks' unified platform eliminates training-serving skew through data lineage capabilities and supports both fine-tuning and RAG approaches depending on industrial use case requirements. Highlighting compelling customer success stories including Suncorp's employee productivity platform and AstraZeneca's transformation of 400,000 clinical trial documents into queryable insights, Craig revealed a striking reality about enterprise AI evaluation - that 85% of AI use cases are being evaluated only by the engineers who built them, reinforcing that proper evaluation frameworks remain foundational for trustworthy AI implementation. He concluded by introducing Agent Bricks as Databricks' evaluation-centric approach to building production agents, emphasizing that model flexibility and rigorous testing are essential for enterprises moving from experimentation to production, while sharing his vision that the industry must evolve from the "year of agents" to the "year of evaluation and quality." Episode Highlights: [00:00] Quote of the Day by Craig Wiley [01:21] How Craig Wiley started his work in ML Ops that led him to Databricks [02:43] Data and AI layer connection creates order-of-magnitude acceleration [03:47] Mosaic AI acquisition expanded Gen AI solution capabilities [04:38] Classical ML statistics versus Gen AI evaluation challenges [05:48] Mosaic AI covers end-to-end from data ingestion [07:12] Training-serving skew eliminated through unified platform lineage [08:51] Fine tuning versus RAG depends on use case [10:49] Industrial agents benefit from fine-tuned smaller models [12:44] Common governance scheme covers tables through model access [13:52] Agent Bricks prioritizes accuracy over simplicity alone [15:44] Model flexibility crucial for speed and accuracy optimization [16:54] AB testing different models shows immediate performance differences [17:59] Suncorp and AstraZeneca demonstrate diverse AI applications [19:37] Asia Pacific shows aggressive AI adoption strategies [20:59] CFO approval requires proven agent effectiveness evaluation [22:00] 85% of AI cases evaluated only by building engineer [23:20] Model agnostic approach beats single-vendor AI strategies [24:12] Industry terminology evolves rapidly from RAG to agents [25:39] Customer creativity with governance capabilities inspires product development Profile: Craig Wiley, Senior Director of Product Management at Databricks and Mosaic AI LinkedIn: https://www.linkedin.com/in/craigwiley/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288
KJ Ellis joins the show as the boys talk Texas A&M hazing story, Sabrina Carpenter's thoughts on Italy, ball talk, choosing a walkup song for Parks, and This Weekend in Fun. Support us on Patreon and receive weekly episodes for as low $5 per month: www.patreon.com/circlingbackpodcast Watch all of our full episodes on YouTube: www.youtube.com/washedmedia Shop Washed Merch: www.washedmedia.shop • (0:00) Fun & Easy Banter • (14:25) A&M Hazing • (20:00) Sabrina Carpenter Went to Italy • (33:10) Ball • (47:20) Parks Walkup Song • (56:15) This Weekend in Fun Support This Episode's Sponsors: Rag & Bone: Upgrade your denim game with Rag & Bone! Get 20% off sitewide 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. Tecovas: Right now get 10% off at https://tecovas.com/crclbk when you sign up for email and texts. Vuori: Get 20% off your FIRST purchase of the most comfortable and versatile clothing on the planet at https://vuori.com/steam Learn more about your ad choices. Visit megaphone.fm/adchoices
Send us a textThe digital revolution in education is happening right now, and AI literacy has surged to become the #1 skill employers demand. With 70% of job skills projected to change by 2030, our conversation with Mike Todasco couldn't be more timely or crucial for parents and educators navigating this shifting landscape.Mike brings a rare dual perspective as both a visiting fellow at San Diego State University's AI Center and father of two school-aged children. His insights bridge the technical sophistication of artificial intelligence with the practical realities of raising children in a world where over 22% of kids aged 8-12 already use generative AI tools—many unable to distinguish between AI and human content.Throughout our discussion, Mike unpacks the delicate balance between embracing AI's educational potential and protecting children's cognitive development. We share compelling research about reduced prefrontal cortex activity when students rely on AI for writing tasks, alongside stories of remarkable progress when AI tutors are thoughtfully implemented. The contrast is stark and highlights the importance of intentional implementation.What makes this conversation particularly valuable are the practical applications. From using voice mode in ChatGPT during car rides to create personalized learning experiences, to implementing retrieval augmented generation (RAG) systems that minimize AI "hallucinations," Mike offers tangible strategies that work both in classrooms and at home. His suggestion to dedicate specific portions of curricula to AI literacy while preserving traditional instruction for foundational skills provides a balanced framework any educator can adapt.Perhaps most thought-provoking is his examination of children forming emotional attachments to AI companions programmed to be unfailingly supportive—raising profound questions about healthy relationship development in an increasingly AI-integrated world. As Mike puts it, "This is what scares me the most."Whether you're a teacher redesigning curriculum, a parent guiding digital natives, or simply curious about education's AI-powered future, this conversation provides the clarity and practical wisdom needed to ensure technology serves learning rather than diminishes it. The question isn't whether AI will transform education—it's whether we'll shape that transformation to truly benefit our children.Great News! The Brighter Side of Education is now CPD Accredited! Sponsored by Dr. Gregg Hassler Jr., DMDTrusted dental care for healthy smiles and stronger communities—building brighter futures daily. Head to the show notes to find if this episode is CPD eligible and details on how to claim your CPD certification!Sponsored by Dr. Gregg Hassler Jr., DMDTrusted dental care for healthy smiles and stronger communities—building brighter futures daily.Support the showIf you have a story about what's working in your schools that you'd like to share, email me at lisa@drlisahassler.com or visit www.drlisahassler.com. Subscribe, tell a friend, and consider becoming a supporter by clicking the link: https://www.buzzsprout.com/2048018/support. The music in this podcast was written and performed by Brandon Picciolini of the Lonesome Family Band. Visit and follow him on Instagram.
In this DCF Trends-Nomads at the Summit Podcast episode, Chris James, CEO of NoesisAI, delivers a sweeping, insight-rich overview of how different classes of AI models—from LLMs and RAG to vision AI and scientific workloads—are driving a new wave of infrastructure decisions across the data center landscape. With a sharp focus on the diverging needs of training vs. inference, James breaks down what it takes to support today's AI—from GPU-intensive clusters with high-speed interconnects and liquid cooling to inference-optimized, edge-deployed accelerators. He also explores the rapidly shifting hardware ecosystem, including the rise of custom silicon, heterogeneous computing, and where the battle between NVIDIA, AMD, Intel, and hyperscaler-designed chips is headed. Whether you're designing for scalability, sustainability, or the bleeding edge, this conversation offers a field guide to the infrastructure behind intelligent computing.
"I think the biggest trap to potentially fall into is, "Hey, it's moving so fast, so much is changing. Let's just wait it out." Completely the wrong approach. You just gotta get started." Nick Eayrs from Databricks "As tech people within the shipping industry, how do we explain, how do we make it accessible to all our users? So that's where we came up with the idea of a data supermarket, with in mind really the target of enabling self-service for our business. So by giving the analogy of a supermarket, it was much easier at the beginning to explain our business." - Simon Fassot from Hafnia Fresh out of the studio, Nick Eayrs, Vice President of Field Engineering for Asia Pacific and Japan at Databricks, and Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia, join us to explore how data intelligence is transforming enterprise AI across diverse industries in Asia. Nick explained the fundamental distinction between general intelligence and data intelligence - emphasizing how enterprises gain competitive advantage by training AI on their proprietary data rather than public knowledge. Nick showcased customer success stories including Standard Chartered Bank and TechComBank and shared his perspectives on how senior executives can take advantage of AI by moving fast rather than wait and see. Last but not least, Nick offered what great would look like for Databricks in Asia Pacific and Japan in serving their customers. Adding the lens of the customer, Simon shared Hafnia's transformation from legacy SQL Server systems to a unified Databricks architecture serving their global shipping operations and elaborated on how the company is breaking down silos with their data supermarket and "Marvis" AI copilot for maritime operations based on retrieval augmented generation. This is Part 1 from Databricks Data + AI Event Singapore. Episode Highlights: [00:00] QOTD by Nick Eayrs and Simon Fassot [00:49] Introduction: Nick Eayrs from Databricks [03:32] Customer obsession means deeply understanding their business context [05:22] Data intelligence versus artificial general intelligence explanation begins [06:42] AI trained on your data creates competitive advantage [08:17] Only 15% of companies have correct AI infrastructure ready [11:17] Don't wait for AI perfection, just get started now [12:30] Agent Bricks simplify AI development using natural language [13:49] Standard Chartered Bank cybersecurity use case with SIEM [16:22] TechCom Bank in Vietnam customer brain with 12,000 customer attributes [18:32] Shared responsibility model for ethical AI deployment [25:24] Asia Pacific psychology focuses on future, not past [26:28] Most important question: How do you get started? [30:18] What does great look like for Databricks? [33:16] Introduction: Simon Fassot from Hafnia [35:18] How Hafnia transformed to full cloud architecture centralizes data through Databricks [36:28] Self-service access needed for 300 onshore, 4000 vessel employees [37:00] Three user types: operations, business intelligence, domain experts and Use Cases for Hafnia [41:32] Unity catalog controls data quality for AI cases [42:21] Two-phase Gen AI: ingest unstructured, then consume data [44:25] How to implement Generative AI: One bad AI answer loses all user trust [45:31] How reports in Hafnia use RAG embedded in workflows [46:47] Data supermarket analogy simplifies self-service for business [48:39] Marvis AI personalizes Gen AI within company context [49:46] Neo4j partnership adds graph capabilities to ecosystem [53:33] DNA Port platform unifies scattered dashboards and applications [54:22] Databricks enables focus on business value over operations Profiles: Nick Eayrs, Vice President of Field Engineering, Asia Pacific & Japan at Databricks LinkedIn: https://www.linkedin.com/in/nick-eayrs/ Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia LinkedIn: https://www.linkedin.com/in/simon-fassot-68b95135/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288
The boys talk about the juxtaposition between the Euro and American Ryder Cup fits, the SEC schedule release, Dave needed Dillon's take on this wedding +1 scenario, & Dillon started 'Black Rabbit' on Netty. 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 • (15:25) Team USA Ryder Cup Gala Fit • (31:15) SEC Schedule Release • (39:50) Need Dillon's Take on this Wedding +1 • (57:25) Dillon Started Black Rabbit on Netty (and watched Gangs of New York) Support This Episode's Sponsors: Rag & Bone: Upgrade your denim game with Rag & Bone! Get 20% off sitewide 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. Tecovas: Right now get 10% off at https://tecovas.com/crclbk when you sign up for email and texts. Vuori: Get 20% off your FIRST purchase of the most comfortable and versatile clothing on the planet at https://vuori.com/steam Learn more about your ad choices. Visit megaphone.fm/adchoices
What does it take to go from CIA officer to founder of one of the world's fastest-growing AI startups? In this episode of The Mark Haney Show, I sit down with Brian Raymond, Founder & CEO of Unstructured.io, to unpack his remarkable story and the explosive growth of his company. • Brian's journey from UC Davis → CIA → Investment Banking → Startup Founder. • Why 90% of enterprise data is useless for AI—and how Unstructured.io fixes it. • The Fortune 1000 race to adopt GenAI, with billions being invested. • How AI agents are changing the game (and why they don't sleep). • Lessons from raising $65M+ in funding in just three years. • Where Brian sees the biggest opportunities for entrepreneurs in this new AI era. This isn't just a story about AI—it's about risk, resilience, and building at the bleeding edge of technology. Website: https://unstructured.io/ Youtube: @unstructuredio LinkedIn: https://www.linkedin.com/company/unstructuredio X: https://x.com/UnstructuredIO Github: https://github.com/Unstructured-IO
A one billion dollar lottery jackpot is enough to get anyone thinking. The cast covers all the important questions: What numbers do you play? What would you do if you won? Who would you tell? Should you remain anonymous? What would be the first thing you'd buy? Do you get a private jet or a jumbo yacht? Get up to $200 off Square hardware when you sign up at https://square.com/go/thecast #squarepod The best way to cook just got better. Go to https://hellofresh.com/THECAST10FM now to Get 10 Free Meals + a Free Item for Life! Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code THECAST at https://rag-bone.com #ragandbonepod Learn more about your ad choices. Visit podcastchoices.com/adchoices
This week we discuss two recent sightings of the extinct New Zealand Fiordland Moose, a disease that could have started the jackalope rumors, and a mystery animal that is stealing villagers clothes. Enjoy! (TWT 182)Underdog: Download the app today and sign up with promo code WILD to score $50 in Bonus Funds when you play your first $5.Soul: Get 30% off your entire order! Go to https://www.getsoul.com/ and use the code WILD.Poncho: Go to https://www.ponchooutdoors.com/wild and enter your email for $10 off your first order.Rag & Bone: Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code WILD at http://rag-bone.com/ #ragandbonepodToyota: toyota.com/trucks/adventure-detoursGet More Wild Times Podcast Episodes:https://podcasters.spotify.com/pod/show/wildtimespod/subscribehttps://www.patreon.com/wildtimespodMore Wild Times:Instagram: http://instagram.com/wildtimespodTikTok: https://www.tiktok.com/@wildtimespodcastFacebook: https://www.facebook.com/wildtimespod/X: https://x.com/wildtimespodDiscord: https://discord.gg/ytzKBbC9DbWebsite: https://wildtimes.club/Merch: https://thewildtimespodcast.com/merchBattle Royale Card Game: https://wildtimes.club/brOur Favorite Products:https://www.amazon.com/shop/thewildtimespodcastMusic/Jingles by: www.soundcloud.com/mimmkeyThis video may contain paid promotion.#ad #sponsored #forrestgalante #extinctoralive #podcast
SPONSORS: 1) MOOD: Discover your perfect mood and get 20% off your first order at https://mood.com and use code JULAN at check out! 2) RAG & BONE: Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code JULIAN at https://rag-bone.com #ragandbonepod PATREON: https://www.patreon.com/JulianDorey (***TIMESTAMPS in description below) ~ Ephraim Mattos is the East Asia Operations Manager for White Mountain Research and is the Founder and CEO of the Fireside Journal. He grew up in Milwaukee, Wisconsin, and went on to serve in the armed forces as a US Navy SEAL. EPHRAIM'S LINKS: - WEBSITE: https://strongholdrescue.org/?fbclid=PAZXh0bgNhZW0CMTEAAaZ6QnPdHprxpt7njhHMyw2CiAuGfA1NtPcT33J8dLdZ3EvoqMadK6jb0Dw_aem_UGZH-q7yd-nMVmmpBrCdCA - YT: https://www.youtube.com/@Ephraim.Mattos FOLLOW JULIAN DOREY INSTAGRAM (Podcast): https://www.instagram.com/juliandoreypodcast/ INSTAGRAM (Personal): https://www.instagram.com/julianddorey/ X: https://twitter.com/julianddorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 00:00 - Intro 00:54 – Eagles, Fatherhood, Wife Refugee, Stronghold, Jungle, Milwaukee 12:47 – SEAL Training, Alaska, Interrogation 21:40 – SEAL Life, Best Decision, BUDS 29:47 – Surviving BUDS, Stress, Myanmar Firefight 40:10 – Airstrike Myanmar, Firefight 01:01:42 – Presidential Limits, USAID, Power 01:12:26 – Military vs Isolationism, China Aid 01:24:30 – Soft Power, Incentives, Ukraine 01:19:56 – Open-Mindedness, AI on AI 01:42:47 – Truth, AI Warfare, Sniper 01:55:36 – China, Myanmar, Ethnic Cleansing 02:08:29 – Media Neglect, Myanmar 02:17:58 – China Funded M3th Soldiers , Yaba, Evil, Division 02:34:31 – Myanmar Geopolitics, Chinese Advisers, Team, Ambulances 02:49:27 – Stronghold Work, Faith, Haiti 03:01:24 – God 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 338 - Ephraim Mattos Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices
Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code FEAR at https://www.rag-bone.com :'D ✨EXTRA BONUS EPISODES ON PATREON✨ Patreon - https://www.patreon.com/FearAnd
01. Playmen, Damiano – Naked (michael Tsaousopoulos & Ferrylake Remix) 02. Tiësto, Soaky Siren – Tantalizing (alex Caspian Remix) 03. Oneil, Kanvise, Favia – Cause You Are Young 04. Shouse – Love Tonight (barthez Remix) 05. Diplo & Maren – Morris 06. Gorgon City Feat Katy Menditta – Imagination (valeriy Smile Remix) 07. Alesso – Falling (lisitsyn Remix) 08. Faul & Wad, Nico & Vinz, Altego, Old Jim – How I Feel Am I Wrong 09. Argy, Omnya – Aria 10. Black Station & Satomic – Moon 11. Avalan Rokston – Something To Believe In (alex Caspian Remix) 12. Cyril, Dean Lewis – Fall At Your Feet (amice Remix) 13. Gorilla Zippo – Танцую До Утра 14. Arei, DJ Lev – Du Hast 15. The Black Eyed Peas – Dont Stop The Party (valeriy Smile Remix) 16. Alok & Gryffin & Julia Church – Never Letting Go 17. Abor & Tynna – Baller (alex Caspian Remix) 18. Oneil, Kanvise & Smola – Since You Been Gone (alex Caspian Remix) 19. Sound Of Legend – Game Started 20. Lady Gaga – The Dead Dance (dj Dark Remix) 21. Sam Feldt, Oaks – My Heart Goes (alex Caspian Remix) 22. Calvin Harris & Rag'n'bone Man – Lovers In A Past Life 23. DJ Nejtrino, DJ Peretse – Road To Hell 24. Rompasso, Johnny Penns – Deep Inside 25. Oneil, Kanvise & Smola – Wind Of Change (alex Caspian Remix) 26. Robin Schulz, Cyril, Sam Martin – World Gone Wild 27. Crash Adams – New Heart (dj Bliss Remix) 28. Block & Crown Feat. Daisy – Mr Vain 29. David Guetta & Sia – Beautiful People (raffi Saint Remix) 30. Camisra, James Hype – Let Me Show You 31. Tiesto – Lethal Industry (rose Ringed Extended Remix) 32. Delerium – Silence (john Summit Remix) 33. Eric Mars – Popcorn 34. Chris Lake Feat. Laura V – Changes 35. Shouse, Cub Sport – Only You 36. Hugel, Topic & Arash Feat Daecolm – I Adore You (alex Caspian Remix) 37. Tiësto, Sevdaliza, Yseult, Pabllo Vittar – Alibi 38. Yves V, Dubdogz, Ilira – Are You Ok 39. Hurts, Purple Disco Machine – Wonderful Life 40. Mark Dann Feat Giovanni Ricci – Let Me Die (alex Caspian Remix) 41. Alesso, Nate Smith – I Like It (alesso & Sentinel Vip Remix) 42. Lucas & Steve – Push The Feeling 43. Calvin Harris Feat Clementine Douglas – Blessings 44. Boney M., R3hab – Sunny 45. Avicii – Wake Me Up (andry Makarov Remix) 46. Fisher, Bbyclose – Blackberries 47. DJ Nejtrino, DJ Peretse – I've Been Thinking About You 48. Robin Schulz – One By One 49. Goodboys, Nu Aspect, Avaion – Blindspot 50. Modjo – Lady (slim Tony & Slashy Disco Remix) 51. Alesso Ft Nico & Vinz – I Wanna Know (alesso & Deniz Koyu Rmx) 52. Joel Corry & Pickle Feat Vula Stay Together – Baby Baby 53. DJ Peretse, DJ Nejtrino – Pardonne - Moi 54. Kanvise, Lew Heart, Falcoma – All Good Things 55. Marshmello, Jonas Brothers Slow Motion (alex Caspian Remix) 56. Meduza & Alok Feat. Goodboys – Piece Of Your Heart (alok Remix) 57. Imanbek, Jay Sean – Gone (da Da Da) (tank & Masstero Remix) 58. Demi Lovato – Fast 59. Ferry Corsten – Rock Your Body Rock (space Motion Remix) 60. Moby, Blond Ish, Kiko Franco – Natural Blues 61. Alle Farben Feat Graham Candy & Lahos – Flowers 62. Ive & David Guetta – Supernova Love 63. David Guetta & Cedric Gervais – A Better World (cedric Gervais & Alexander Remix) 64. Camelphat & Elderbrook – Cola (jerome Robins Remix) 65. Argy, Meduza – Melodia 66. Ben Delay – I Never Felt So Right (lebedeff & Kofa Remix) 67. David Guetta, Benny Benassi – Satisfaction 68. DJ Peretse, DJ Nejtrino – Don't Worry
Today we are joined by Gabe Saporta and Sean Barrett. Gabe is the lead singer for Cobra Starship and was one of the early contributors to the East Coast rock scene. Starting in basements and dining halls to touring in huge arenas. We also breakdown the history of the music scene around rock and punk and how it evolved into pop/radio tunes with autotune and technology. Sean has been the host of The Gathering of the Juggalos for the past 3 years so we dive deep in the culture and find out why all juggalos love Faygo. We also take maybe our BEST CALL ever. Our friend Ramsey, a social media expert and app developer, breaks down how social media companies intentionally keep you on their platform and create an algorithm for you that may involve fear or rage to keep you emotionally involved. To end the episode, we call the bro who drove JT home from the Oasis concert in a PediCab to find out more about the industry. #goingdeepwithchadandjt #chadandjt #podcast #cobrastarship More about Gabe here: https://www.instagram.com/xbrotegex/ More about Sean here: https://www.instagram.com/mrseanbarrett/ Come see us on Tour! Get your tix - http://www.chadandjt.com NEXT BROS BEFORE JOES SHOW (SEPT 19) HERE: https://www.showclix.com/event/joes-september19th We are live streaming a Fully unedited version of the pod on Twitch, if you want to chat with us while we're recording, follow here: https://www.twitch.tv/chadandjtgodeep Grab some dank merch here:https://shop.chadandjt.com/ TEXT OR CALL the hotline with your issue or question: 323-418-2019(Start with where you're from and name for best possible advice) Check out the reddit for some dank convo: https://www.reddit.com/r/ChadGoesDeep/ Thanks to our Sponsors:Brotege: The Best Skincare products for bros - get started today for just 10$ Visit https://www.brotege.com/deep HomeChef: The Best Meal Kits! Go to https://www.homechef.com/godeep and get 50% off your first box + free dessert. BILT REWARDS: Pay your rent with BILT and start earning points towards travel, fitness, restaurants and more! Go to https://www.joinbilt.com/godeep to get started today! Rag & Bone: The best Fashion and Clothing to look sharp and fresh. Denim Jeans, Shirts, Jackets & More! Get 20% off your order today! Go to https://www.rag-bone.com and use code GODEEP PRODUCTION & EDITS BY: Jake Rohret
Remember RAG?
This episode is packed with big-picture energy talk and some seriously nerdy (but fun) data breakdowns. John Kalfayan from collide. and Chuck start with what's really happening in oil and gas today before shifting into the challenges of putting AI to work in the field. From there, things get deep: contract dedications, what RAG actually means, how data chunking works, and the never-ending battle with duplicate info. We also weigh the costs of storage, querying, and running models, plus the tradeoffs between RAG and foundational models. If you've ever wondered about vector databases, data strategy, or just why we have a rant about sand, it's all here. By the end, we hit on the human side too: education, privacy, and making sure the right people can access the right data.Click here to watch a video of this episode.Join the conversation shaping the future of energy.Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.Apply today at collide.ioClick here to view the episode transcript. 00:00 - Intro01:51 - Oil and Gas Industry Insights06:34 - AI Deployment Challenges09:12 - Contract Dedications Explained10:32 - Understanding RAG12:52 - What is RAG in Data Management13:43 - Data Chunking Techniques17:17 - Cost Considerations in Data18:03 - RAG vs Foundational Models19:21 - Vectorized Databases Overview23:47 - Managing Duplicate Data26:28 - Data Strategy Considerations28:24 - Sand Rant31:32 - Identifying Gaps in Data33:10 - The Cost of Storage33:56 - Effective Data Querying35:50 - AI Education and Awareness37:53 - Privacy Concerns with Language Models40:54 - Data Access and Availabilityhttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters
Ethan Smith is the CEO of Graphite—the leading SEO growth agency—and my go-to expert on SEO. After 18 years of mastering traditional SEO, Ethan has been at the forefront of what is called AEO: answer engine optimization, or, more simply, getting your product to show up in ChatGPT/Claude/Gemini/Perplexity answers. He's discovered that ChatGPT traffic converts six times better than Google search—and most companies are completely missing this opportunity.In our conversation, we discuss:1. His 7-step playbook to rank #1 in ChatGPT2. Why ChatGPT traffic converts 6x better than Google3. How early-stage startups can win at AEO immediately (unlike with SEO, which takes years)4. The three tactics that actually work: landing pages, YouTube videos, and Reddit comments5. Why help-center content can suddenly be your highest-ROI investment6. The specific Reddit strategy that works (spoiler: be authentic)7. Why AI-generated content doesn't work—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflowsVanta—Automate compliance. Simplify security.Great Question—Empower everyone to run great research—Where to find Ethan Smith:• Twitter: https://twitter.com/ethan_l_s• LinkedIn: https://bit.ly/ethans-linkedin• Graphite: https://graphite.io/• Graphite Research Papers: https://bit.ly/graphite-five-percent—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Ethan(04:34) The changing landscape of SEO(06:19) AEO (answer engine optimization) vs. GEO (generative engine optimization)(08:13) The impact of AEO(11:51) How early-stage startups can win at AEO(14:34) The quality of AEO leads(15:35) On-site vs. off-site traffic(16:32) Reddit's role in AEO and avoiding spam(20:11) How AI models use citations (RAG)(21:41) Key principles for winning at AEO(25:00) Avoiding hyper-SEOed content, and the importance of originality(28:55) Actionable AEO playbook: steps and experiments(33:35) Tracking, measuring, and share of voice(38:34) Adapting AEO for B2B, commerce, and early-stage companies(41:11) Is letting AI index your content good?(43:06) Experimentation, control groups, and measuring results(46:15) The future of AEO, SEO, and search channels(51:35) AI-generated content: what works and what doesn't(55:25) The dangers of infinite AI derivatives(58:44) The future: convergence of LLMs and search(01:00:40) Help-center optimization and the long tail(01:03:18) Lightning round and final thoughts—Resources and episode mentions: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-aeo-ethan-smith—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
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