Podcasts about Vibe

This is preview (full ep released to subscribers 03/02/2026) — to access all our content & to join the NM Discord, subscribe: patreon.com/newmodels & newmodels.substack.com _ We speak often in the New Model sphere about scanning and sensing rather than reading—communication through vibes. Peli Grietzer is a comparative literature PhD (Harvard) who has spent over a decade developing a rigorous theory of what a “vibe" actually is, how we increasingly follow ineffable cues to navigate our world and these, taken together, in fact exist as empirical objects in mathematical space. On this episode, Peli joins NM to talk about his work for a more general audience. For more: @peligrietzer (X & IG)
 Substack: Second Balcony
(https://peligrietzer.substack.com/) Theory of a Vibe (https://www.glass-bead.org/wp-content/uploads/GB_Site-1_Peli-Grietzer_Eng.pdf) Theory of a Vibe '25 (https://peligrietzer.substack.com/p/theory-of-vibe-25)

Grab a FREE COPY of Jeff Dudan's Book DISCERNMENT HERE CHECK OUT THE FULL EPISODE HERE! What if you don't actually have “low energy”… you just have BLOCKS In this powerful conversation with Erin King: @MrsErinKing  , we break down the real science of vibe, leadership energy, and why trying to “do more” is actually draining you. You'll learn why energy isn't something you create — it's something you access. We unpack: The 3 biggest energy mistakes killing your vibe Why quitting isn't the answer (shifting is) How clarity instantly boosts your energy The 5 energy types — and how to discover yours Why Oprah's biggest success came from a demotion How leaders accidentally drain their teams The difference between high energy and aligned energy If you've felt burned out, stuck, disconnected, or unclear about your next move — this will change how you think about performance forever. Energy cannot be created or destroyed… but it CAN be blocked. And most people are living with boulders in their stream.  Learn more about Erin King and her work here:

The last stop on the Road to WrestleMania is this Saturday and Steph and Bianca have loads to say! And though the Chamber has championship implications, Liv Morgan has chosen Stephanie Vaquer as her title opponent. We also saw AJ Styles say goodbye to his in-ring career and make more history! Catch the Vibe! It's HWP Xtra! Hosts: Stephanie Hardy Follow Stephanie & HWP on Instagram: https://www.instagram.com/queenstephhardy & https://www.instagram.com/hardywrestlingpodcast Follow Stephanie & HWP on X: https://www.x.com/QueenStephHardy & https://x.com/hardywrestlepodBianca AddisonFollow Bianca on Instagram: https://www.instagram.com/biancaaddisonFollow Bianca on X (formally known as Twitter): https://www.x.com/biancaaddisonFollow Bianca on TikTok: https://www.tiktok.com/eboniroseringsideTags: #hwp #hardywrestlingpodcast #hwpxtra #wweraw #smackdown #wwenxt #royalrumble #wrestlemania #eliminationchamber #wweonnetflix #rawonnetflix #wweid #aewdynamite #aewcollision #wowsuperheroes #tnawrestling #weluvwrestling #wrestlingcommunity #womenswrestling

This conversation with Jackie Woodside feels like settling into a deep breath with someone who has lived many lives and still chooses joy, intention, and a higher vibration every day. Jackie returns to share the heart behind her two upcoming films, Your Money Vibes and The Frequency of Miracles, inviting you to step into your own adventure with more faith and courage.Jackie is a USA Today and five-time international Amazon bestselling author, TEDx speaker, coach, and founder of the Conscious Living Summit. Beyond her accomplishments, it's her energy that leaves a mark. She talks about meeting the director who encouraged her to bring Money Vibe to the screen, the unexpected challenges of making a film, and the moments when faith had to be louder than fear. We explore basketball, racquetball, flow states, teamwork, and what it means to stay dialed into your body and purpose. Jackie reminds us that life is a team sport and that our vibrational pattern touches everyone around us.Takeaways:Your inner vibration shapes every part of your lifeFaith can open doors that fear tries to close Collaboration creates synergy none of us can build alone Your consciousness helps shape an evolving humanityDiscover more about Jackie's upcoming films:Frequency of MiraclesYour Money VibesConnect with Jackie and explore her work:WebsitePodcastFacebookInstagramLinkedInYouTubeI've also launched a new podcast called Year Of The Horse Adventure Coach. You can listen here: Apple Podcasts SpSend a text Support the show✨ Join My TEDx Spokane Journey! Get early updates, BTS moments, and reflections as I prep for TEDx Spokane.

This episode is a real-time walk through the season I'm in right now. Life feels full. Emotional. Heavy in places. Expansive in others. And instead of pushing through or trying to “fix” myself, I'm living differently. In this episode, I talk about the foundational pieces that hold me when things feel like a lot: – the walk – the block – nervous system regulation – building foundation before intensity – why tone still matters (and how it fits now) – and what This Is How I Live Now actually looks like in real life I share how walking daily became my anchor, why I don't skip foundation, and how Tone and THE VIBE support strength, regulation, and consistency without burnout. We also move into: – the meaning of THE VIBE inside of Tone (private school energy) – how I'm thinking and living differently in this season – my nighttime rituals and why sleep is sacred now – and the mindset shifts, sayings, and manifestations I use when life feels heavy This episode connects directly to: – the This Is How I Live Now guide + workbook – a new blog post on my night must-haves and rituals (all links are there) – and Session 2 inside THE VIBE (bonus content for Private School) If you're craving a quieter, more intentional space, you're also invited to HER Feed—our private, safe community off social media. No algorithms. No noise. Just support, grounding, and real connection. Explore everything here: ✨ GlitterU + Tone + THE VIBE: https://www.glitteru.com ✨ Join HER Feed (private + off social): https://www.glitteru.com/group ✨ Blog (all product links live there): https://www.glitteru.com/blog This is a season of less force and more trust. This is how I live now.

In this episode of The Ross Simmonds Show, Ross breaks down the so-called “SaaSpocalypse” after $1 trillion in SaaS market cap vanished in a single week. While headlines scream that “AI will replace SaaS,” Ross argues the reality is far more nuanced. He introduces a three-part framework ; Exposed, Embedded, Evolved , and outlines the strategic shifts founders and marketers must make to survive and compound in the age of AI agents. Key Takeaways and Insights: 1. The $1 Trillion Wake-Up Call -SaaS stocks were crushed in early 2026, triggering fear across markets. -AI agents, LLM advancements, and disappointing earnings accelerated the correction. -The dominant narrative says AI will replace SaaS , but the situation is more complex. -Market fear is loud. Structural change is quieter, but very real. 2.AI Agents, Vibe Coding & the Death of Per-Seat Pricing? -AI agents interacting directly with APIs challenge traditional SaaS interfaces. -“Vibe coding” demonstrates how quickly software can now be replicated. -Per-seat pricing models are under pressure as automation scales output. -The interface is shifting from dashboards to conversations. 3.The Data Reality Most People Ignore -Global SaaS spending is projected to grow from $318B (2025) to $500B+ (2028). -Enterprise contracts and deep dependencies don't disappear overnight. -Pricing models may change. Market leaders may change. -Software demand isn't vanishing, it's evolving. 4.The Extinction Stack: Exposed, Embedded, Evolved -SaaS companies fall into three survival tiers. -Not all SaaS companies face equal risk. -Your future depends on depth of integration and data moat. -Operators must identify where they sit, now. 5.Type 1: The Exposed -Horizontal point solutions with weak moats and low switching costs. -Easily replicated with AI tools in days or weeks. -Rely on habit rather than proprietary advantage. -Most vulnerable to margin compression and churn. 6.Type 2: The Embedded -Deeply integrated systems of record inside enterprises. -Painful and complex to replace due to migration risk. -The risk isn't extinction ,it's interface disruption. -Must become AI-first before agents abstract them away. 7. Type 3: The Evolved -AI-native or aggressively AI-integrated platforms. -Built on proprietary data, regulatory moats, and deep user memory. -AI increases the value of their data advantage. -Positioned not just to survive, but accelerate. 8.Distribution Is the New Defensive Moat -AI can replicate features. It cannot replicate trust. -Brand equity, audience relationships, and distribution compound. -As product development gets cheaper, distribution becomes the advantage. -This is the moment to double down on quality and amplification. 9.From Time-Based to Outcome-Based Thinking -Per-seat and time-based pricing models face structural pressure. -The future favors outcome-driven pricing and accountability. -Buyers will demand measurable impact, not access. -Service businesses must shift from hours sold to results delivered. 10. Intentional AI vs Fear-Based AI -Two types of teams are emerging: intentional adopters and reactive adopters. -AI without process creates noise, not leverage. -10,000 mediocre AI assets won't move the needle. -10 strategic, AI-enabled assets can change a business trajectory. —

Tropische Strände, Highspeed-Züge & Menschen, die dich nach dem Flug einfach umarmen. Taiwan hat uns komplett erwischt. Direkt aus dem Flieger fährt Michael einmal quer durchs Land bis ganz in den Süden. Reisfelder im Sonnenaufgang, Fischreiher über den Flüssen, plötzlich Dschungel, dann wieder Meer. Hengchun fühlt sich an wie ein entspanntes Surferstädtchen irgendwo zwischen Südostasien und Kalifornien. Nur sicherer, freundlicher - und überraschend vielseitig. Nachtmärkte, Mungobohnen-Suppe mit Eis, Flat White auf Weltklasseniveau, Familien auf Fahrrädern, Strände wie aus dem Bilderbuch und überall diese selbstverständliche Offenheit der Menschen. Taiwan ist modern und wohlhabend, politisch komplex, geschichtlich vielschichtig und im Reise-Alltag vor allem: leicht. Öffis, die funktionieren, Essen, das begeistert und ein Land, das dich ganz tief in dein Herz lässt, ohne sich aufzudrängen. Wenn ihr wissen wollt, wie sich ein Hidden Champion in Asien wirklich anfühlt, dann kommt mit in den Süden.—Unsere Werbepartner findet ihr hier.Kommt zu unserer LIVE-Show:11.4.2026 Mannheim (SWR Podcastfestival)Tickets gibt es HIER.Mehr Reisen Reisen gibt es bei Instagram und in unserem Newsletter-Magazin.—HengchunEntspannte Kleinstadt im Süden Taiwans, nahe dem Kenting Nationalpark. Bunte Gassen, kleine Cafés, Nachtmarkt und perfekter Ausgangspunkt für Strände und Natur.https://www.instagram.com/hengchun_town/Kenting National ParkTropischer Nationalpark mit Stränden, Bergen und üppigem Grün. Ideal zum Surfen, Wandern oder einfach für Tage am Meer.https://www.instagram.com/kenting_national_park/South Slot CoffeeChilliges Café mit Terrasse, Liegestühlen und tropischem Vibe. Perfekt für einen Flat White nach der Ankunft im Süden.https://www.instagram.com/southslotcoffee/Kitchen Swell CafeGroßzügiger Raum mit viel Holz, internationalen Speisen und entspanntem Surfer-Feeling. Ideal für Frühstück oder Lunch.https://www.instagram.com/kitchenswell/Huang Sweet Mung BeansTraditioneller Spot für taiwanesische Mungobohnensuppe – süß, mit Eis serviert, ein Klassiker im tropischen Süden.(Kein klarer offizieller Instagram-Account, Infos über lokale Listings)https://www.taiwan.net.tw/Step UpKleiner Laden, in dem man sich eigene Flip-Flops zusammenstellen kann. Farben, Sohlen, Bänder – alles individuell kombinierbar.https://www.instagram.com/stepup.tw/The SurfSurfboutique mit lässigen Shirts, Boards und echtem Küsten-Vibe. Treffpunkt für junge Locals und Reisende.https://www.instagram.com/thesurf_taiwan/FamilyMartTaiwanesische Convenience-Store-Kette mit überraschend guter Kaffeekultur. Praktisch für Snacks, Getränke und schnellen Flat White unterwegs.https://www.instagram.com/familymart_tw/ Hosted on Acast. See acast.com/privacy for more information.

Jake Stauch is the Co-founder and CEO of Serval. Serval automates IT with AI.We talk taking on incumbents with an AI-native product, why IT departments haven't had much automation historically, the 12+ month journey of landing their first customer, and how teams can increase talent density as they scale.Try Numeral, the end-to-end platform for sales tax and compliance: [https://www.numeral.com⁠](https://www.numeral.xn--com-xw0a/)Sign-up for Flex Elite with code TURNER, get $1,000: https://form.typeform.com/to/Rx9rTjFzTimestamps:(0:14) AI-native employee support(5:15) How an early work trial almost ended the entire company(9:05) Why IT hasn't had much automation(13:09) Vibe coding for IT professionals(15:31) Competing against publicly traded incumbents(23:32) Having less than three months of runway for seven years building his first hardware consumer health startup(33:15) Lessons from five years at Verkada(39:11) The single question that led birthed the idea for Serval(44:19) Navigating 12+ months of zero revenue(52:05) Knowing when not to pivot(55:15) Finally landing the first three customers(58:07) Getting pre-empted for a Series A(1:01:04) Getting a Series B term sheet the next day(1:05:54) How to structure design partnerships that convert(1:08:48) Building a mirror instead of system of record(1:13:49) Make the implementation part of the product(1:15:24) How to increase talent density as you scale(1:21:32) Why every new hire should help you recruitReferencedTry Serval: https://www.serval.com/Careers at Serval: https://www.serval.com/careersEpisode with Filip @ Verkada: https://www.youtube.com/watch?v=fXI3GdicIHwFollow JakeTwitter: https://x.com/jakeservalLinkedIn: https://www.linkedin.com/in/jakestauchFollow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

From touring with Destiny's Child to being nominated for a Grammy award, the guys of True Vibe have had so many career highlights together. In this episode of the Pure Joy Podcast, I was delighted to sit down with the guys whose poster hung in my high school locker and reminisce about their music. Jonathan Lippmann, Nathan Gaddis, Jason Barton, and Jordan Roe reunite to share the hilarious and moving memories of their career together. Was there ever a rivalry with the group Plus One? Who was the best dancer? What was it really like to be on tour with Beyonce? If you grew up listening to True Vibe — or love a good nostalgia moment — this one’s for you.

This episode is not meant to be rushed. It's not something to listen to while multitasking. It's something to sit with. In this episode, I walk you through a practice I use — not as an idea or a concept, but as a way of living. For a long time, I knew what to do but couldn't always sustain it. I knew the habits, the routines, the mindset work — but my body didn't always cooperate. What I've learned through years of coaching, teaching, and living is that most of us don't have an information problem. We have a capacity problem. When the nervous system is overloaded, you can't outthink it. You can't discipline your way out of it. And you can't shame yourself into consistency. So I stopped trying to force change and started building structure that calms the body first. In this episode, you'll hear: why stress doesn't live in your thoughts — it lives in your nervous system why safety, not pressure, is the starting point for real change how tapping works as rhythmic, grounding input for the body the exact structure of the practice I use for body, life, and wealth why consistency comes from steadiness, not urgency This episode is the spoken companion to my 25-page guide, This Is How I Live Now — a calm, repeatable practice designed to be returned to, not rushed through. Calm isn't passive. It's preparatory. Links • Workbook: https://glitteru.com/theshop • Start here: https://www.glitteru.com/start • THE VIBE inside TONE: https://tonen10.com

After a bad loss to the Cavs, we talk about what's going wrong with the team. Is it the coach?

  Welcome back to the pod, girl

This is the first release of THE VIBE. In this episode, I'm sharing Settle — a short grounding practice designed to help your nervous system land before you do anything else. This isn't about doing meditation “right.” It's about creating enough internal safety for your body to exhale. Settle is the foundation. The place we arrive. The place everything else builds from. You can use this practice: before movement after a long day when your thoughts feel loud or anytime you need to come back into your body This practice is free, and it's yours to return to whenever you need it.

We love the idea of calm. We know grounding, breathwork, and meditation “work.” But most of us don't slow down long enough to use them — especially when life feels full, loud, or overwhelming. In this episode, we talk about why real change can't start in the mind alone. When the body is stressed, the brain, gut, emotions, and decision-making are all affected. And no amount of willpower fixes that. This is a conversation about starting from the inside — calming the nervous system first, so clarity, consistency, and movement can actually stick. Tune into episode 305 for a free clip of the vibe .

The Atlanta Vibe are in the midst of season two for Major Leage Volleyball and Atlanta sports fans are loving every moment of it! See omnystudio.com/listener for privacy information.

Apparently you can vibe code your way into hacking 7000 robot vacuums. A man used Claude to try and vibe code a way to control his own vacuum to be able to be controlled with an Xbox controller, and accidentally took control of SEVEN THOUSAND of them. And they have cameras. Thankfully, he didn't abuse that power. But in the wrong hands, this could be very very bad.Watch the podcast episodes on YouTube and all major podcast hosts including Spotify.CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles.Get more news, views and reviews on Clownfish TV News - https://more.clownfishtv.com/On YouTube - https://www.youtube.com/c/ClownfishTVOn Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvgOn Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629

Rob Walling is a godfather of the bootstrapped SaaS movement — he's started 6 companies (5 bootstrapped), built and sold Drip for 8 figures, and created the infrastructure behind MicroConf, TinySeed (which has raised nearly $60 million and invested in over 210 SaaS companies), and Startups for the Rest of Us (820+ episodes over 15 years). But here's what surprised me: Rob told me he's more of a creator these days than a software founder. The guy who built and sold an email marketing platform now gets his dopamine from podcasting, writing books, and making YouTube videos. And his experience on both sides gives him a perspective on the vibe coding trend that I think every creator needs to hear. In this episode, we get into the actual mechanics of how Rob runs his business — the team of 11 people, the $100,000-$120,000 monthly payroll, the four brands he wishes were two. We talk about how he eliminated stress from his life through therapy, hiring owner-level thinkers, and handing the project management to someone else entirely. And we have a real conversation about why vibe coding a SaaS product is probably not the opportunity you think it is — even if you have a big audience. This is part 1 of a 2-part episode; part 2 lives on Rob's podcast, Startups for the Rest of Us. → Rob Walling on Twitter/X → Rob Walling's YouTube Channel → Startups for the Rest of Us (Podcast) → MicroConf → TinySeed → Drip (Rob's 8-figure exit) → SavvyCal (co-founded by Derek Reimer) Full transcript and show notes *** TIMESTAMPS (00:24) Introduction — why Rob Walling is a unicorn in the bootstrapped SaaS world (02:40) Mapping the full Rob Walling business ecosystem: podcast, MicroConf, TinySeed, books, YouTube (05:15) How Producer Ron keeps the trains running on time across four brands (06:44) Inside the team of 11: roles, full-time commitment, and why Rob stopped hiring part-time (07:53) The psychology of making your first full-time hire (and Rob's 8-year wait for MicroConf) (09:33) Moving from task-level to project-level to owner-level thinkers (10:27) Four brands, two LLCs — the insurance story behind the split and why Rob wants to consolidate (12:18) Why Rob doesn't want his name on everything (and the legacy question) (14:41) Identity shifts: from SaaS founder to serial entrepreneur to content creator (16:31) The vibe coding reality check: why building SaaS is 10x harder than creating content (19:09) Why SaaS churn makes recurring revenue harder than it looks for creators (21:04) The construction analogy: tool sheds vs. skyscrapers and where vibe coding breaks down (24:53) Data from 234 investments: only 10-15% of successful SaaS companies lack a technical founder (27:00) The bigger opportunity for creators: equity partnerships instead of vibe coding (29:00) 'Build your network, not your audience' — why audiences plateau for SaaS growth (31:53) A week in Rob's life: deep work Mondays, advising Wednesdays, and the 329 TinySeed founders (34:00) How Rob eliminated stress: therapy, delegation, and giving up project management (38:46) Hiring for high-functioning: screening for 'Producer Ron'-level operators (41:21) The positive tension of deadline stress and why containers make you ship (43:09) Post-exit motivation: 6 months of comic books, guitar, and getting bored into purpose *** RECOMMENDED NEXT EPISODE → ⁠#291: 48 Hours With Clawdbot: How I'm Using It and Initial Reactions *** ASK CREATOR SCIENCE → Submit your question here *** WHEN YOU'RE READY

And we're back with TMK-as-usual! We are joined by Wendy Liu and Jimmy Wu from the Bay Area Current — a new leftist publication writing about the working class in San Francisco and beyond — as we chat about mapping out the rising milieu of right-wing culture in San Francisco, from the growing scene of tech intelligentsia publications that each have their different flavor of right-wingism to the psychic damage and hostile architecture of an urban landscape overflowing with B2B SAAS billboards. ••• Meet the New Right-Wing Tech Intelligentsia https://bayareacurrent.com/meet-the-new-right-wing-tech-intelligentsia/ ••• Tech Billboard Decoder: The Great Tech Vibe Shift https://bayareacurrent.com/tech-billboard-decoder-the-great-tech-vibe-shift/ ••• AI Company's Billboards Say Workers Are Disposable. But Are We? https://bayareacurrent.com/ai-tech-company-to-workers-youre-disposable-but-is-it-true/ ••• San Francisco's Billboards Aren't For You https://bayareacurrent.com/the-billboards-arent-for-you/ Standing Plugs: ••• Order Jathan's book: https://www.ucpress.edu/book/9780520398078/the-mechanic-and-the-luddite ••• Subscribe to Ed's substack: https://substack.com/@thetechbubble ••• Subscribe to TMK on patreon for premium episodes: https://www.patreon.com/thismachinekills Hosted by Jathan Sadowski (bsky.app/profile/jathansadowski.com) and Edward Ongweso Jr. (www.x.com/bigblackjacobin). Production / Music by Jereme Brown (bsky.app/profile/jebr.bsky.social)

Join Jordan, Commish, Pitt Girl, and our VP of Podcast Production Arthur. The Winter Olympics are done, USA Women's and Men's Hockey Gold, we welcome Alyssa Liu to the Committee, the Mess Olympics winners (Canadian Curling gold, Cheating Biathlete's 5 medals, credit card fraud biathlete won three golds), Jordan likes Pandas and Figure skating now (maybe a little too much), Mia Manganello from cyclist to speed skating bronze, Arthur has Olympic awards, College Football news, Thomas Hammock leave NIU to the Seahawks, Curry College going to College Football, Kyle Assmann commits to the Guelph Gryphons, Lewis and Clark are the RIVER OTTERS NOW, Chicago State has got their schedule, short shorts doing away in CFB? Ole Miss' generic yellow dog squishmellow, OH NO DISASTER DOWN UNDER causing Giancarlo Italiano to resign and oh so much, much more!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Igor Andriushchenko joins Crying Out Cloud to explain how vibe coding changes the role of security engineers. The shift from typing lines of code to shaping entire systems means security teams need new strategies. Developers expect their shipping velocity to increase tenfold with AI assistance. Relying on traditional hard deployment blocks will only cause friction. If you want to understand how to build secure guardrails for AI development without destroying developer momentum, this conversation covers the exact mechanics.What's Inside:The evolution of the Stockholm tech scene and human ambition driven by AI.How Lovable empowers non-developers to build disposable and deeply specific software.The concept of "soft guardrails" and why hard blocks fail in AI-assisted workflows.Future capabilities of AI pen testing using hundreds of autonomous agents.The shared responsibility model when business users build internal applications.

In today's episode, we'll explore how vibe coding can be used in the K–12 classroom to help students develop critical thinking skills. Visit AVID Open Access to learn more.

Governor Mikie Sherrill has taken office alongside a Democratic supermajority, yet New Jersey business leaders are more optimistic than they've been in eight years. Is this a true policy pivot or just a honeymoon phase? Micah Rasmussen of the Rebovich Institute for New Jersey Politics joins us to discuss what the first half of 2026 holds for the state's economy and business community. Topics discussed:Why the business community is optimisticGov. Sherrill's upcoming budget proposalOther short-term issues of interest to the business communityLooking ahead Resources:Register for IssueWatch Live: New Jersey Budget Analysis on March 24 or March 30New Jersey Budget updatesRebovich Institute for New Jersey Politics

Les suites de l'arrivée en grande fanfare de l'IA génératrice de vidéos propulsée par Bytedance ; Gemini 3.1 Pro est candidat le nouveau meilleur modèle de la semaine tout comme Claude Sonnet 4.6 ; Sam Altman compare les ressources d'entrainement des IA avec les ressources pour faire grandir un humain ; les suites de la hype d'OpenClaw, cet agent IA qui fait tout et n'importe quoi ; on aborde ensemble aussi des scandales Meta de la semaine, la liberté à l'américaine qui va s'exporter et un peu de jeux vidéo.  Me soutenir sur Patreon Me retrouver sur YouTube On discute ensemble sur Discord Interactions auditeurs Wildcat et ClaudIA. Mika et les FX effets spéciaux. Manus horribilis “Seedance 2 fait trembler Hollywood” ! Enfin, un petit frisson quoi. Le meilleur modèle du monde de la semaine est… Gemini 3.1 Pro ! On t'as pas Sonnet ! Anthropic et OpenAI jouent à PAC man. Caméo méo ! Human vs IA : fight ! Trois bidules en préparation chez OpenAI ! Et chez Apple aussi ! Cline en pince pas trop pour Open Claw. Je préfère nanobot. Stars and tripes Ring à un Search party pris. SMS : Tu es mort ? Ce n'est pas une excuse. SMS 2 : Meta lotion, l'année va être chaude. En fait, IEEPA le droit ! Le prix des consoles va-t-il baisser ? Non. Les américains vont nous apporter la liberté ! Jeux vidéo Phil good : la retraite à 58 ans ! Point final pour Bluepoint. Trou de VR : Horizon se mobilise. DLSS, DSR, 4K, le blind test ! Vibe gaming : encore plus de jeux sur steam ! Youpi …? Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé

"The people who figure that out first won't just ship faster - they'll build things that others can't even spec, because the spec emerges last from a process that only exists in the doing of it." ~ Jesse Posner When your AI knows your goals better than you remember them in the moment, something fundamental has shifted. This episode explores Jesse Posner's "The Secret to Vibe Coding" and the emerging art of human-AI partnership through the lens of real agentic workflows, the philosophy of naming what's happening while it's happening, and what it looks like when the spec emerges last from a process that only exists in the doing. Check out the original article: The secret to vibe coding by Jesse Posner (Link: https://x.com/jesseposner/status/2025680970784137238) References from the episode The Secret to Vibe Coding by Jesse Posner: for those without an X account, the article has been reposted on Nostr by average_bitcoiner. (Link: https://primal.net/average/the-secret-to-vibe-coding-and-the-only-skill-that-matters-in-the-age-of-ai) The Code Liberation by Max Hillebrand: the piece I mentioned as a possible follow-up Read episode - more philosophical take on the same ideas, keep an eye out for that one. (Link: https://primal.net/maxhillebrand/930187aa8c1e9a92) Host Links ⁠Guy on Nostr ⁠(Link: http://tinyurl.com/2xc96ney) ⁠Guy on X ⁠(Link: https://twitter.com/theguyswann) Guy on Instagram (Link: https://www.instagram.com/theguyswann) Guy on TikTok (Link: https://www.tiktok.com/@theguyswann) Guy on YouTube (Link: https://www.youtube.com/@theguyswann) ⁠Bitcoin Audible on X⁠ (Link: https://twitter.com/BitcoinAudible) The Guy Swann Network Broadcast Room on Keet (Link: https://tinyurl.com/3na6v839) Check out our awesome sponsors! HRF: The Human Rights Foundation is a nonpartisan, nonprofit organization that promotes and protects human rights globally, with a focus on closed societies. Subscribe to HRF's Financial Freedom Newsletter today. (Link: https://mailchi.mp/hrf.org/financial-freedom-newsletter) OFF: The Oslo Freedom Forum is a global human rights event by the Human Rights Foundation (HRF), uniting voices from activism, journalism, tech, and beyond. Through powerful stories and collaboration, OFF advances freedom and human potential worldwide. Join us next June. (Link: https://oslofreedomforum.com/)

Is it possible to be "fully recovered" and still have anxious thoughts, or are we all just making it up as we go?Welcome to the very first episode of Recovered & Rambling! This is a new monthly feature where I sit down with my right-hand person and friend, Brittany, for a completely unscripted, unfiltered conversation. Think of it as a "vibe check" on life, recovery, and the random stuff that keeps us laughing.In this episode, we're bridging the gap between my decade of recovery and Brittany's more recent journey. We dive into the awkwardness of therapy "first dates," the reality of having no control as a mom, and why we're both currently obsessed with the psychological warfare on The Traitors.HERE'S WHAT TO SAY TO YOUR BRAIN WHEN YOU'RE SPIRALING: https://ahealthypush.myflodesk.com/calmpanicTAKE MY FREE QUIZ AND FIND OUT WHAT'S CAUSING YOU TO STAY STUCK: https://www.ahealthypush.com/blocking-quizA HEALTHY PUSH INSTAGRAM: https://www.instagram.com/ahealthypush/GET THIS EPISODE'S SHOW NOTES: https://www.ahealthypush.com/post/rambling1

With the Supreme Court striking down the Trump Administration's reciprocal tariffs, and the announcement of new 15% tariffs by The White House, the economic forecast has become another blizzard of uncertainty. Kyla Scanlon, author of “In This Economy?”, helps us decode the sour vibes in this current economy, and the challenges facing investors. Plus, Berkshire Hathaway shareholders are bracing for an earnings report and shareholder letter that won't be delivered by Warren Buffett for the first time in sixty years. No pressure. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Join Psychic Medium Cari Mugz from Idaho Falls, as she pulls a card to let you know what's coming up for the week and the signs and symbols to watch for. Cari MugzInstagram: @spirit.medium.carimugz FB Page: Psychic Medium Cari MugzWebsite: https://www.carimugz.com/

Jaeden & Jamie discuss the acquisition of the AI agent Open Claw, created by Peter Steinberger, by OpenAI for a near billion-dollar valuation. They examine the unique aspects of Open Claw that led to its success and eventual acquisition, and explore the concept of "vibe coding" as a powerful tool for developing new applications and automating tasks, even for non-developers, highlighting both its potential and security trade-offs. Our Skool Community: https://www.skool.com/aihustleGet the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiWatch on YouTube: https://youtu.be/ICo9BT6ZvhYChapters00:00 The Acquisition of OpenClaw: A New Era for Solo Startups01:59 The Rise of OpenClaw: Features and Viral Success04:58 The Unique Approach: Open Source and User Empowerment08:58 Vibe Coding: The Future of Software Development10:47 Conclusion and Call to Action

Jon Westfall and I (Todd Ogasawara) covered several major industry updates and rumors this week: Apple's Upcoming Events: We discussed the rumors surrounding the Apple March 4 launch event, including the highly anticipated A18 Pro budget MacBook, which is expected to bring fun colors and a more accessible price point. Google's Latest Offerings: We touched on the Google Gemini Lyria 3 music creation feature. I was able to try it out a couple of times.  Additionally, we looked at the news that Google launched a Snapseed camera for iPhone, bringing pro manual controls and retro film effects to iOS. E-Ink Troubleshooting: Boox Note Air5 C I provided an update on the Boox Note Air5 C and a frustrating e-ink lag problem when using Microsoft OneNote. This writing lag is a known issue. The current solution when dealing with OneNote's infinite scrolling is simple but annoying: don't write near the very bottom of the display. Note that this specific issue doesn't seem to happen on the iPad or conventional Android tablets—it is strictly an e-ink quirk. Workplace Feedback, "Vibe Working," and OneNote We moved into a deeper discussion about evaluating work and the ongoing challenges of providing workplace feedback. Jon has been evaluating the work of his peers lately in OneNote, and to say it's not going well would be an understatement. We debated whether the fault lies with the tool itself or the user, leading into a wider conversation about the lack of attention to detail in professional environments. This tied perfectly into the difficulty of giving feedback to coworkers, especially when unreadable formatting or poorly optimized code directly impacts your own workflow. Finding that reasonable middle ground to deliver criticism without causing unnecessary friction remains a constant challenge. We introduced some new terms to frame this phenomenon, comparing Mark Zuckerberg's old "move fast and break things" mantra against the reality that carelessness often speaks directly to competency. We coined phrases like Minimally Viable Product / Deliverable, Vibe Working, and Generation AI to describe these modern workplace dynamics.

Jaeden & Jamie discuss the acquisition of the AI agent Open Claw, created by Peter Steinberger, by OpenAI for a near billion-dollar valuation. They examine the unique aspects of Open Claw that led to its success and eventual acquisition, and explore the concept of "vibe coding" as a powerful tool for developing new applications and automating tasks, even for non-developers, highlighting both its potential and security trade-offs. Our Skool Community: https://www.skool.com/aihustleGet the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiWatch on YouTube: https://youtu.be/ICo9BT6ZvhYChapters00:00 The Acquisition of OpenClaw: A New Era for Solo Startups01:59 The Rise of OpenClaw: Features and Viral Success04:58 The Unique Approach: Open Source and User Empowerment08:58 Vibe Coding: The Future of Software Development10:47 Conclusion and Call to Action See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Financial freedom isn't built on vibes. It's built on behaviour. In this episode, Kehla sits down with wealth mentor Lorna Poole to unpack what actually creates financial independence for female entrepreneurs — especially when money feels messy. Most high-achieving women aren't struggling because they lack intelligence or strategy. They're stuck in avoidance, hyper-independence, or waiting to feel “safe” before changing their money habits. This conversation cuts through the noise and gets grounded in what truly shifts financial outcomes. Lorna shares how radical self-responsibility, micro-behavioral changes, and long-game thinking build real wealth — not emotional highs or manifestation aesthetics. Together, they explore: – Why paying yourself first matters (even if it's $5) – How your nervous system reacts when you start keeping money – The emotional patterns women carry into their financial decisions – The difference between revenue and true wealth – Why neutrality with money is power This episode is a candid look at debt, independence, partnership, and the subtle ways feelings can hijack financial leadership. Financial freedom isn't about the number. It's about who you become in the process of building it. Follow Lorna on Instagram Follow Lorna on YouTube Connect with Lorna on LinkedIn Grab Lorna's Wealth Checklist Join the Money to Freedom Summit (March 2-6th 2026) Join the Financially Independent Females Facebook Group Follow Kehla on IG Kehla's Links

Todays conversation is hosted in person in NYC. Isaiah Washington and I discussed how he built AI tools built with Claude Code as a largely non technical person for his organization. We also discussed his experience at Facebook and Insight and his current role at Artemis. I greatly enjoyed the conversation and hope to have many more like it in the future.

This week, our host Ian Truscott chats with B2B marketing leader Lisa Bonnano, and then he and Robert tackle the topic of vibe coding killing SaaS software over a cocktail.   Lisa Bonanno is a revenue and customer-focused marketing executive with 20+ years of experience optimizing and scaling global pipeline engines from inquiry to advocacy for B2B SaaS businesses. Ian dives into Lisa's marketing leadership experience, what drew her to marketing as a profession, her views on getting a marketing education, what we can learn from B2C, and: What is on Lisa's rider when she's considering a new gig Where she starts when starting a new gig The advice she gives to young marketers looking to follow in her footsteps What she would chuck into our Rockstar CMO Swimming Pool - our portal to marketing hell The tune that gets her marketing mojo working After catching up with Lisa, Ian joins Robert Rose in the virtual bar, The Rose & Rockstar, for a chat about whether business users getting access to AI-generated code, or vide coding, is going to kill SaaS software.  If you have any comments or thoughts on this topic, we would love to hear them! Enjoy! — The Links The people: Ian Truscott on LinkedIn  Lisa P. Bonnano on LinkedIn Robert Rose on LinkedIn Mentioned this week: Tuesday 2¢ - Is The Vibe Killing SaaS? Ian's firm - Velocity B Robert's newsletter: Lens, his websites, robertrose.net and seventhbear.com Rockstar CMO: The Beat Newsletter that we send every Monday Rockstar CMO on the web and LinkedIn Previous episodes and all the show notes: Rockstar CMO FM. Track List: We'll be right back by Stienski & Mass Media on YouTube Florence + The Machine - Dog Days Are Over (2010 Version) Piano Music is by Johnny Easton, shared under a Creative Commons license You can listen to this on all good podcast platforms, like Apple, Amazon, and Spotify. Learn more about your ad choices. Visit megaphone.fm/adchoices

O Marcus não mexeu no app de IA dele, o Rambo deixou a IA mexer no app dele, e o Arthur fez a IA criar um app sozinha.

Jack and Jackson discuss what's ailing software stocks, and list Wall Street picks. And a tractor executive has the latest on farm incomes and planting tech.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Under the Hood of DynoWiper https://isc.sans.edu/diary/Under%20the%20Hood%20of%20DynoWiper/32730 Vibe Password Generation: Predictable by Design https://www.irregular.com/publications/vibe-password-generation Vulnerabilities (CVE-2025-65715, CVE-2025-65716, CVE-2025-65717) in four popular IDE Extensions https://www.ox.security/blog/four-vulnerabilities-expose-a-massive-security-blind-spot-in-ide-extensions/ Grandstream GXP1600 VoIP Phones https://www.rapid7.com/blog/post/ve-cve-2026-2329-critical-unauthenticated-stack-buffer-overflow-in-grandstream-gxp1600-voip-phones-fixed/

President Trump says he will decide within 10 to 15 days whether to continue diplomatic efforts with Iran or authorize military action. On paper, talks in Geneva have been described as “positive.” In practice, the military posture tells a more urgent story. Significant naval assets are in place, including carrier strike groups positioned to project air power quickly.What stands out is the operational framing. The buildup appears geared toward air and naval strikes, not large-scale ground deployments. Bombs in, not boots in. That distinction matters politically and strategically. A rapid, targeted operation is easier to message and easier to contain. A prolonged engagement is not.I have no inside knowledge of what comes next. But the reporting suggests that every preparatory step short of execution has been taken. That does not guarantee action. It does mean the window for decision is real. If a strike happens, the political fallout will depend almost entirely on duration. Days are one thing. Weeks are another.Politics Politics Politics is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Prince Andrew and the Epstein FalloutAcross the Atlantic, the Epstein document releases are producing consequences that are less sensational but more legally concrete than many expected. Andrew Montbatten-Windsor, formerly Prince Andrew, was arrested on suspicion of misconduct in public office and later released. The scrutiny centers not on lurid allegations alone, but on claims that confidential trade documents may have been shared with Jeffrey Epstein during Andrew's tenure as a trade envoy.That is the pattern emerging from the latest tranche of disclosures. The most actionable material involves documents, authority, and institutional misuse, not the more speculative narratives that dominate online conversation. Trade secrets and official privilege are prosecutable. Rumor is not.If these allegations hold, the implications extend beyond Andrew personally. They could destabilize broader political relationships in the United Kingdom and intensify scrutiny of other high-profile Epstein associates. The sensational headlines grab attention, but it is the paper trail that moves prosecutors.DHS Funding and Pre–State of the Union BrinkmanshipBack home, the Department of Homeland Security funding fight remains stalled. Democrats are demanding immigration enforcement reforms, including stricter warrant requirements, ending certain patrol practices, and unmasking field agents. Republicans have labeled those proposals red lines and accuse Democrats of leveraging the shutdown for political positioning ahead of the State of the Union.Nothing substantive is likely to move before the president addresses Congress. The incentives run the other way. Democrats want to be seen as fighting. Republicans want to frame the impasse as obstruction. In the meantime, DHS operates in partial shutdown conditions, with essential personnel continuing work but long-term uncertainty hanging over the department.The broader dynamic is familiar. Shutdowns are blunt instruments. They energize bases but rarely deliver maximal outcomes. Eventually, one side cuts a deal and angers its most committed supporters. The only open question is who blinks first and how much rhetorical damage accumulates before they do.Chapters00:00:00 - Intro00:02:11 - Dave Levinthal on Dems' Midterm Fundraising00:27:24 - Update00:29:00 - Iran00:33:30 - Former Prince Andrew Arrested00:35:10 - DHS Funding Talks00:38:20 - Karol Markowicz on Republican Vibes01:21:35 - Wrap-up This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.politicspoliticspolitics.com/subscribe

Diana and Renee break down the Dark Winds Season 4 premiere, including Joe Leaphorn's surprising announcement about his future, a missing girl case tied to a boarding school, and a dangerous new threat emerging on the reservation. They explore Leaphorn's grief, Bernadette's growing leadership, and the emotional and cultural depth that makes the series so compelling. Plus, rapid-fire reactions, standout moments, and what this premiere sets up for the rest of the season. They also share TV and Movie recommendations.  00:00 Dark Winds S4 Premiere Kickoff + Question of the Day (Is Leaphorn Ready to Retire?) 01:21 First Impressions: Music, '70s Vibe, and Linda Hamilton's Surprise Cameo 03:51 Joe Leaphorn's Grief Without Emma: Separation, Guilt, and That Quiet Montage 05:53 Retirement Bombshell: Leaphorn Taps Bernadette to Lead 06:36 Bernadette & Chee Finally Together (and Everyone at Work Knows) 07:29 Linda Hamilton's Dementia Tribute + Why the Cameo Hits So Hard 08:32 Opening Van Assassin & the Diner Massacre: Fargo Vibes and Rising Stakes 11:32 Who Stood Out: Joe/Emma Status, Showrunner Notes, and Relationship Fallout 15:03 Chee & Bernadette's New Dynamic + Gordo Friendship Moments 19:56 Breaking Down the Leaphorn–Bernadette Talk: Why She's the Right Choice 23:14 Albert, Billy, "That's Not Your Milkshake": The Mystery Thread and The Assassin's Target 25:56 Bigger Conspiracy Brewing: Missing Cousin, Hitman Money & a New City Ahead 26:35 Music Spotlight: Bad Company's "Seagull" and Why the Lyrics Fit Joe's Montage 29:26 Grounding Traditions: Joe's Navajo Balance, Family Rituals & Bernadette's Connection to Land 30:50 Culture Meets the Badge: Why Bernadette Is Best Positioned to Lead 31:53 Hard History & Awareness: Boarding Schools and Missing & Murdered Indigenous Women 32:56 Easter Eggs & Production Notes: Linda Hamilton, Robert Redford Tribute, and the Bubble Gum Clue 35:16 Rapid-Fire Reactions: One-Word Joe, Biggest Surprise, and What's Next This Season 39:11 Question of the Day: Is Leaphorn Really Ready to Walk Away? 42:24 TV & Movie Recommendations: What We're Watching Right Now 50:07 Final Wrap-Up: Thanks for Listening, Share the Show & See You Next Time Renee Hansen:  https://linktr.ee/renee.hansen  https://reneehansen.journoportfolio.com Follow and subscribe to Screens in Focus. Website: www.screensinfocus.comEmail: screensinfocus@gmail.com Instagram: @screensinfocuspodcast Facebook: Screens in FocusTikTok: Screens in FocusYouTube: Screens in Focus Feedback and TV/Movie Recommendations: Google Voice: (669) 223-8542 Free background music from JewelBeat.com: www.jewelbeat.com  

We were NOT.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

There's a particular kind of clarity you get when you talk to someone who spends their days breaking into things for a living. Not with malice — with purpose. John Steigerwald, known to most in the industry simply as "Stigs," co-founded White Knight Labs in 2016 with a mission that sounds almost disarmingly simple: build the best penetration testing team anyone has ever seen, and actually deliver results. Nearly a decade later, the company has grown to 40 people, gone international, and is busier than ever. The question worth asking is: why?The uncomfortable answer, according to Stigs, is that the fundamental problems haven't changed. At all."Honestly, it's still 2015," he said during our most recent conversation on ITSPmagazine's Brand Story series. Not as a metaphor. As a diagnosis. The same misconfigurations, the same weak identity policies, the same unlocked back doors that red teamers were exploiting a decade ago are still wide open today. The apps built in a COVID-era frenzy — pushed out fast, tested never — are now running critical business infrastructure. And the organizations using them are only finding out when something breaks.What's changed is the surface area. Cloud, AI, Microsoft 365, vibe-coded production apps — each new layer of technology gets adopted at speed, and each one arrives carrying the same original sin: no one turned on the basics. Stigs used Microsoft 365 as a pointed example. Millions of businesses are running on it with DMARC turned off, default configurations untouched, Copilot layered on top, and not a single CIS Benchmark policy applied. "Every client is vulnerable," he said. "Not just 10% of clients. Every client."That's a striking statement. It's also, if you've been paying attention to breach headlines, not a surprising one.The AI angle adds a new and almost darkly comedic wrinkle. Vibe coding — the practice of using AI tools like Cursor or Claude to generate production-ready code at speed — has given entry-level developers intermediate-level output. Which sounds great, until you realize that the AI models many of them leaned on were trained on outdated, sometimes vulnerable data. Stigs described visiting multiple clients with nearly identical security weaknesses, all tracing back to the same ChatGPT-generated setup instructions. "You and your neighbor did the same thing," he told one client. That's not just a funny anecdote. It's a warning about what happens when an entire industry bootstraps its infrastructure from the same flawed source.And yet, Stigs isn't anti-AI. He uses it every day. He just sees it with the clarity of someone who also finds the holes it leaves behind. His prediction for the near future: a massive wave of secure code review requests, as companies start reckoning with the vibe-coded backlog they've been quietly accumulating. AppSec is about to have a very good year.Looking forward, White Knight Labs is watching the growing intersection of private sector expertise and government infrastructure testing with particular interest. Critical infrastructure in America, long overdue for rigorous physical and embedded testing, is starting to receive that attention. Stigs and his team are already in the room.What makes White Knight Labs different isn't just technical skill — it's the ability to communicate what they find in language that actually lands. In an industry full of reports that gather dust, that matters. The best penetration test in the world is useless if no one acts on it.The door is open. It's been open for years. The question is who you call to finally lock it.To learn more about White Knight Labs, visit their website or reach out directly. Listen to the full conversation on ITSPmagazine.GUESTJohn StigerwaltFounder at White Knight Labs | Red Team Operations Leaderhttps://www.linkedin.com/in/john-stigerwalt-90a9b4110/RESOURCESWhite Knight Labs:  https://whiteknightlabs.com_____________________________________________________________Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

If you've ever felt like your brain moves at 100 mph while the world expects you to function at the speed limit…this episode is for you! ✨In Episode 234 of Becoming More Me, Theresa sits down with Ky Wescott from The Vibe With Ky- viral content creator, mental health advocate, and senior paid media strategist with an audience of 2+ million across TikTok, Instagram, and Facebook.Ky is known for creating the kind of ADHD content that makes people say, “Wait… does he live in my head?” But beneath the humor is something deeper: a real commitment to honesty, connection, and helping people feel less alone in their ADHD, anxiety, depression, and executive dysfunction.Together, Theresa and Ky talk about what it looks like to manage mental health without pretending you're fine, how to create amazing content without burning out, and why connection will always beat chasing virality.Episode Highlights:Ky's “chapter one” message for newly diagnosed ADHD and depressionThe hard season that changed everything for Ky: heartbreak, injury, and loss within the same 30 day periodWhat depression can look like behind the scenes, even when someone seems “positive” onlineWhy Ky prioritizes connection over virality, and the mindset shift that makes content sustainableContent batching, creative systems, and ADHD-friendly structure that supports consistencyMonetization that doesn't depend on platforms: partnerships, products, email lists, subscriptionsADHD in the workplace: task initiation, clutter, and setting your environment up for success.The “this can go away at any moment” reality of a platform… and why owning your audience mattersKy Wescott is the creator behind The Vibe With Ky and host of The Vibe With Ky Podcast. His content blends humor and mental health truth in a way that helps people feel seen, validated, and less alone.He's been recognized as a Feedspot Top 10 ADHD Influencer, named a JCI Ten Outstanding Young American, and was invited to the 2024 White House Creator Summit, where he met and spoke with President Biden.Connect with KyWebsite: TheVibeWithKy.comSocial: @TheVibeWithKySupport the showVisit theresalearlevine.org to get Theresa's Book, "Becoming More Me: Tapping into Success - Subconscious Secrets of an ADHD Entrepreneurial Mom" and receive the private sessions for Free!Becoming More Me with Theresa Lear Levine features conversations that Make the Never-Ending Journey of Becoming one you Want to get Present for & Enjoy! Theresa shares her struggles with trauma, anxiety & ADHD, and how nervous system regulation, EFT & Hypnotherapy, took her past her breaking point and into an embodied life of calm, clarity & confidence.Kindle, Audible & Paperback on AmazonCommunity:https://www.skool.com/becoming-more-me-communityBegin your transformation:gamechangingconversation.com Thanks for Listening! Please Leave a Review!Join the Email list:https://theresalearlevine.org/subscribeIG:instagram.com/theresalearlevineEmail:theresa@theresalearlevine.comWebsites:www.theresalearlevine.comwww.becomingmoreme.com...

How AI Agents are Disrupting the AdTech Landscape Semantic content classification driven by AI agents is currently transforming digital advertising and B2B content monetization as we know it. When leveraged the right way, marketers can classify B2B content into actionable signals and find the most relevant content across the open web. This shift toward AI-native advertising allows for a more sophisticated approach to targeting that moves beyond traditional cookies. So, how can brands strategically implement these tools to generate impactful results, and what does the rise of autonomous agents mean for the future of your digital marketing strategy? That's why we're talking to Brendan Norman (Co-Founder and CEO, Classify), who shares his expertise and experience on how AI agents are disrupting the AdTech landscape. During our conversation, Brendan discussed the evolution of digital advertising and the critical integration of AI and cloud-based tools to automate manual tasks and improve campaign optimization. He also elaborated on the massive shift from human-centric to agent-centric traffic, predicting that agent traffic will surpass human traffic within 18-24 months. Brendan also explained why he believes that the future belongs to marketers who can blend audience and contextual signals to monetize human and agent attention. He highlighted how new AI-native tools are democratizing advanced ad tech, significantly reducing costs and improving efficiency for large and small advertisers. https://youtu.be/yVobWZTmwco Topics discussed in episode: [03:01] Beyond Keywords: How semantic understanding allows advertisers to target the nuance of a page (like “snow removal” vs. just “winter”) rather than broad categories.  [06:46] Optimizing for AI Agents: Why “Generative Engine Optimization” (GEO) complements traditional SEO, and how brands must prepare for agents retrieving information instead of humans.  [12:34] The Shift in Web Traffic: The prediction that agent traffic will surpass human traffic on the web in the next 6 to 24 months.  [15:50] The Power of Context + Audience: Why the best advertising strategy combines who the user is (audience) with what they are consuming in the moment (context).  [20:47] Democratizing Ad Tech: How AI agents and new frameworks will allow smaller brands with smaller budgets to access sophisticated programmatic advertising tools.  [26:54] High-Fidelity Curation at Scale: How AI reduces the cost of processing massive data sets, making real-time optimization and curation accessible and sustainable.  [33:44] The “Middleman Tax”: A look at the inefficiency of current ad tech where only 35 cents of every dollar reaches the publisher, and how AI can fix this.  Companies and links mentioned: Brendan Norman on LinkedIn  Classify  Bluefish AI Agentic Advertising Org  IAB Tech Lab Transcript Brendan Norman – Classify, Christian Klepp Brendan Norman – Classify  00:00 I think overall, jobs will change. I think that people will have to spend a lot less time doing a lot of the manual, rote tasks that they’re doing today. You know, kind of in parallel with what we’re seeing in terms of vibe coding and people’s ability to build product really quickly, design new web pages really quickly, like get ship things out quickly. I think a lot of the infrastructure layer tools, or just call them like, like, chatGPT style, cloud based tools, LLMs (Large Language Models), we’ll see a lot deeper integration into existing advertising product. And what that does is it helps democratize the whole ecosystem. So I think it frees up people’s time, you know, to not have to do a lot of the basic administrative, you know, reporting, manual, campaign, optimization type stuff, and it will help service a lot better insights. Ultimately, I think the industry grows, and I think it scales even faster and cautiously, optimistically. I think that we, we will have back to building on the curation piece, and, you know, the advertiser, outcomes piece, publisher monetization piece, user experience piece, I think that all those things will increase. Christian Klepp  01:07 When done the right way and leveraging the right approach and technology, you can classify B2B content into actionable insights and find the most similar content across the open web. So how can this be done the right way, and what role do B2B Marketers play? Welcome to this episode of the B2B Marketers in the Mission podcast, and I’m your host, Christian Klepp. Today, I’ll be talking to Brendan Norman about this. He’s the Co-Founder and CEO of Classify, a software that organizes the world’s digital content, making a privacy, safe, searchable and monetizable. Tune in to find out more about what this B2B Marketers Mission is, and off we go. I’m gonna say Mr. Brendan Norman, welcome to the show. Brendan Norman – Classify  01:49 Thanks for having me, Christian. Christian Klepp  01:51 Great to have you on. I’m really looking for this conversation because, man, like you know, in our previous discussion, besides talking about snow and bad weather, we did have, we did have we did have some interesting discussions around, I’m going to say, AI machine learning, and how that all has some kind of like strong correlation to content. So let’s just dive in. I’m going to start with the first question here. So you’re on a mission to help publishers increase monetization potential and advertisers target the most relevant, curated inventory. So for this conversation, I’m going to focus on the following topic, and we can unpack it from there. So how B2B brands can optimize their own content. And you know, let’s be honest. Brendan, who the heck doesn’t want to do that, right? So your company classify, if I remember correctly. It’s a software that organizes the world’s digital content, making it privacy, safe, searchable and monetizable. So here’s the two-pronged question I’m happy to repeat. So first one is, walk us through how your software does that and B, how does this approach benefit? B2B companies looking to optimize their own content? Brendan Norman – Classify  03:01 Historically, how a lot of content gets categorized, classified, organized, it’s fairly unsophisticated, and it’s been fairly unsophisticated for a long time, just because, you know, the technology is difficult to do, and we haven’t really had the foundational ability to understand it in a way like a human understands it until fairly recently, and do it at Deep scale. So good analogy for this question is like, if you were having a we were having a conversation just a minute ago about the snow, you know, happening in Canada, and how cold it was and how much snow you got, and, you know, also around the fact that, like you had to shovel your driveway, you have a snow blower you were putting the snow. There’s a lot of different nuance to that conversation. I as a human, and most humans, are able to interpret all of that nuance and kind of positively negatively, understand that there’s a snow blower involved in that snow blower was used to remove the snow historically that conversation, you know, if it was just a blob of text, or if it were a web page, the the basic technology to understand it would have reduced it down to a category like snow or maybe winter, and that’s it, and that’s all the targeting that would have happened to that page. So our conversation, you know, gets transcribed. It gets put on a blog, or it gets put on a news site. The only thing that a machine could understand about it was, you know, snow and then potentially a keyword, tagged snow blower. And that’s all so we took a very different one. One of the reasons why you know that that makes it challenging for advertisers and also for publishers. If you’re the publisher of that content, you’re not able to help advertisers really understand the nuance to like, what are we talking about here? Because maybe an advertiser wants to sell snow blowers for that specific site. Maybe they’re looking to sell ski and since we were talking about removing snow from a driveway, probably not the best application to go sell skis on. What is helpful is to deeply understand all the nuance to like we were talking about a driveway. We were talking about removing snow from that driveway. So we invented, you know, a much better, more sophisticated way to scrape content, classify it according to all of the different, you know, nuances semantic understanding much more like a human would, and then embed all of those different, you know, semantic understandings into, you know, this, this, this file, and then we organize that in a way that makes it searchable and kind of understands all the relationships very quickly. And what that does is it helps advertisers, like if you know, I’m Honda selling snow blowers, which they make, arguably the best snow blower in the market, if they’re looking to reach people that are talking about snow removal from the driveway, they can very quickly see the list of all the different URLs across the internet, and they can build, you know, a deal ID, or they can build a targeting, contextual targeting segment to specifically pinpoint those very specific web pages. And that’s kind of how the technology works, and then also, also why it’s relevant to advertisers. Christian Klepp  06:21 Thanks so much for sharing that Brendan that definitely helps us give, you know, some perspective into, like, what your software does. And you know, just, I’m asking you this from, from somebody who probably has learned to write one or two lines of code, and that’s as far as my dev skills go. But like, how, how is your software different from like GEO (Generative Engine Optimization), or is there some kind of overlap? Brendan Norman – Classify  06:46 It’s fairly complementary. I mean, the problem that GEO, you know, is trying to solve, and we’ve got good friends, advisors, you know, like at Blue Fish AI and like, a really cool company, Andre, I worked with him at live rail. He was the co-founder back then, before we got acquired by Facebook, you know. And I think that the problem that they’re trying to solve is going back to that it was just stay on Honda snowblowers. They’re trying to help Honda understand how they’re represented inside of, inside of an LLM or inside of a chat bot. And what they also do is they help these companies restructure their pages for, you know, better representation inside of the other end of like a chatGPT or a cloud answer. So it is kind of SEO (Search Engine Optimization), but for the generative world where we sit on is kind of on a different side of that. It’s very complimentary, though, and we’re deeply understanding content at scale, and that’s helping, you know, the advertiser understand where to position their ad. We’re also just, you know, very quickly, moving into this new space of, traditionally, advertising technology is focused on a human going to a web page, reading that content, reading the article, watching a video, you know, whatever that content looks like, and then helping the right advertisers show up in a contextually relevant way, so that the human will click on that ad, and they’ll go to another web page, they’ll buy the thing, whatever somebody wants to sell. A very recent development, so back up a year or so, you know, chatGPT Claude when they’re out and their agents and their bots are scraping like going out to the web and they’re retrieving information. They’re doing it to train their models to make their models better at answering questions. But now, you know, fast forward to today. They’re actually spending more time just going to content and then using that content to answer a specific question. So like, what’s the best recipe for, you know, creating soft shell craps. It’ll query a couple different web pages. It’ll find that, it’ll retrieve that information and bring it back that that is not being monetized today. And there’s a really interesting thing that we’re, you know, we’re starting to work on, which is monetizing the attention of an agent. And, you know, it’s, there’s a lot to figure out, but it’s kind of like the early days of a web browser, and like early days of search, when humans would go, you know, to a search engine, they would pop in some keywords, or, like, right out of search, and then, you know, Google would look at their entire index of the web, which was an algorithm that was weighted based on the number of different contextual relevancy plus the number of connections between web pages. So a web page that I might have published in geocities.com that nobody else would link to, Christian Klepp  09:50 wow, GeoCities like… Brendan Norman – Classify  09:54 Throwing way back remember the days of like writing like HTML and you know, creating that, you know, looping in some type of image because nobody else had linked to that, like personalized page that you built, it would never get shown up. And, you know, the top 20 or 30 or probably even couple 1000, or maybe even 100,000 search results. So their algorithm was about contextual relevancy, plus the number of links that other pages that had to your page. And then they started to include advertising in that. So early days of ads in search were literally anything, you know, it’s any advertiser that wanted to advertise to you, and they were just kind of choosing the highest price, trying to figure out, you know, how do we make money? And then it evolved into much more contextually relevant ads and sponsored post or sponsored advertisements. So now you know, if you’re searching for, like, what’s the best, you know, LLM or chat bot, you’re probably going to see a sponsored ad from, you know, Claude and Perplexity and chatGPT. Now you’re also going to see the search results underneath those. What’s changing about that kind of rapidly is how we’re influencing because humans are spending less time going there and doing that, and also within Google, Gemini is also surfacing some AI summary quickly and kind of superseding that, creating a chatGPT experience inside of Google, which is a brilliant way to do it also. But a lot of human interaction with the web now is humans going to chatGPT going to cloud asking questions and kind of treating it like we used to treat search back in the day. So influencing that, influencing that agent, going out to the web and sitting in between. That is another really interesting way that you can help an advertiser tell that story, not necessarily to a human but to the agent who’s retrieving the information and then bringing it back to the human, Christian Klepp  11:56 Right, right, right? And if we’re talking about content, it’s, you know, doing it in such a way that the content shows up in the AI search. Brendan Norman – Classify  12:04 Exactly. Christian Klepp  12:05 Because everybody, everybody’s got those now, right, like Google or Bing, or whatever, they’ve got the, they’ve got the AI summary at the at the very top of the page, right when you, when you, when you key in something. Brendan Norman – Classify  12:17 Yeah. Christian Klepp  12:18 Okay, fantastic. I’m gonna move us on to the next question about because we’re on the topic of optimizing content. So what are some of the key pitfalls that like B2B Marketers and their content teams? What should they be mindful of, and what should they be doing instead? Brendan Norman – Classify  12:34 That would be actually a better question for some of the GEO companies and something like more SEO focused companies about how to specifically optimize like your content. It’s a great question. I haven’t spent as much time, you know, deeply thinking through that. And the problem that we’re trying to solve is more of, you know, at scale, what is the semantic understanding of like, how somebody has built their page and or construct the video, as opposed to advising them on what they should do? You know, to think about it in a way that’s either more engaging. I would pivot that question more to the Geo and SEO focused folks, yeah, but super high level. I mean realizing that now web has two primary users of traffic. There’s humans who are bouncing or reading a, you know, web page or watching a video. But there’s also agents. And now the scale is like, changing very, very quickly. So you know, in the next year, two years, everybody will have lots of agents, kind of doing things on the back end for them. And, you know, we believe that, you know, in the next what, 6,12,18,24 months, Agent traffic will surpass human traffic on the web. So realizing that there’s these kind of two layers that one, humans see a web page and nice pretty pictures, and, you know, they see the layout great, but also having a web page that’s optimized in HTML, markdown, JSON, in ways that agents consume that, and then also knowing the different types of agents. So the cool thing that we’re building right now, in addition to this content graph of all the content, which is effectively like a understanding all the context between the content. It’s a mouthful, an agent graph that helps to inform this is an agent coming to my site. So in a lot of ways, it’s very similar to the folks who over the last decade or so, have built these identity graphs or audience graphs, and they know that like you, Christian versus me, Brendan, they’ve got some profiling on us. They understand our search history, our retargeting, our purchase intent, a lot of things that they’re appending to like you as a specific profile or an IP address. The rapid evolution of all this is mapping out the land. Landscape of different agents, where they come from, and then the personalization of these agents, and basically applying a lot of the similar logic that we’ve used for identity graphs and for audience graphs towards agents to help understand, how do you modify the content on the back end that humans never see, so that when they’re retrieving information, interacting with the content they’re doing it, you’re presenting in a really thoughtful way that drives like the answers and the results that you want to Christian Klepp  15:33 right, right? No, absolutely, absolutely. And in our previous conversation, you talked a little bit about contextual versus audience targeting. So and I mean, I’ve asked you this back then, but do you think one is better than the other, or do you think that they can work together? Brendan Norman – Classify  15:50 They should absolutely work together. Christian Klepp  15:52 And why? Brendan Norman – Classify  15:54 The reason, the reason is, you know, knowing who you are is a very important piece to the puzzle. Like, and if you even take a step back, like, what’s the whole point of advertising? Like, the whole point of advertising is storytelling, so that a brand or a service or a company can help market their brand service to the right person they’re trying to sell them something. The cool thing about the internet is we all now have this, you know, basic shared awareness that, like, there are certain things that are paid for on the internet, certain types of content that are gated. I might buy a subscription to The Economist, you know, I pay Claude a certain amount of money, a lot to be able to use it, you know, a lot and chatGPT, and then a lot of the web is free. Facebook is free, Tiktok is free, Instagram is free, LinkedIn is free. But the economics, it’s very expensive to run these businesses, so they have to, you know, support it through advertising. Ideally, you know, there’s a couple of ways to think about it, and there’s one camp of people on the internet who think that advertising is a necessary evil or a last resort, you know, we just cram it in there and make some money. There’s another camper of folks who actually think that it can be additive to the experience. And one of the reasons why, you know, it’s kind of a meme, and you always hear people talking about, you know, I didn’t need this thing, but I saw an ad for it on Instagram, and just had to buy it because it was really cool. The reason why that exists is that their advertising is phenomenal, and the targeting and optimization is phenomenal. And why it’s phenomenal on the back end is it knows a lot about you know me, who I am, what I’m interested in, based on my history, what I’ve been engaging with, where I’m spending time, you know, what I’m looking at, but it also knows specifically when I’m looking at that thing, you know, it might have a framework of saying, Brendan, really, you know, likes these types of skis, you know, he’s interested in, You know, a couple other, couple other interesting products, but the best time to serve each one of those products might be different, and it’s different depending on what I’m looking at, what I’m thinking about in that exact moment. And to kind of align these, these different graphs, graphs of intent, contextual understanding, and then audience, you know, the best time to serve me an ad for a new pair of skis is when I’m reading an article about skiing or something about the mountains. You know, it’s not necessarily when I’m reading about the Warriors, because I’m not really thinking about skiing when I’m reading about basketball. So to your point, the most effective ads are when you’re combining those two sets. It’s great for the advertiser, because I’m much more likely to click on it and go check out the skis. It’s also giving me a better experience, because it feels more native to the overall content that I’m reading. And that’s why it’s so important. It shouldn’t be an afterthought or a necessary evil or a last resort. It should be something that is intentionally thought about the entire design, because it can, it can actually be a cool experience. Christian Klepp  19:06 Absolutely, absolutely. I mean, you know, you’re talking to somebody that started his career in the in the advertising industry, so, yeah, I’ve heard that one before, and what you’ve been describing in the past couple of minutes sounds to me a little bit like time of day marketing too, right? Because you’re you know, are you the had a guest on, like, a year ago who talked about this? Right? Is, is Brendan, the same guy at eight in the morning and one one in the afternoon and seven in the evening? Right? There’s different different times of the day, different mindset, different motivation, different reason for being on your device or looking at, looking at specific type of content, right? But it is interesting, right? And it’s interesting and sometimes a little bit scary, how, um, how quickly the algorithm picks, picks this stuff up, right? Like, for example, last year, I was researching a lot on Japan, because we went there, right? Family trip and whatnot. And. And that’s what I kept seeing on Instagram, right? Like, because I was looking up specific temples and whatnot and and today I got another push. Like, would you like to invest in a temple that’s an on island in the Sea of Japan, right? Brendan Norman – Classify  20:12 Like, sorry, did you invest? Christian Klepp  20:17 No, I did not. But it was just, it was just funny that I got that ad right, like, it’s, like, Okay, interesting, but like, it’s so like it not, was not on my radar at all, right, Brendan Norman – Classify  20:29 Yeah, Christian Klepp  20:29 Okay, great. From your experience, and you talked a little bit about it now in the past couple of minutes, but like, from your experience, how can leveraging AI agents improve efficiency and save marketing leaders time? Brendan Norman – Classify  20:47 Ooh, there’s a couple different ways to think about that. So you know, part of it is this new agentic framework for how existing tools, you know, advertising and marketing tools, will communicate with each other today. You know, it’s fairly complex. You know, if I wanted to go build a contextual targeting segment to help one of our brands that we work with find the right contextual or inventory to target contextually, I would have to work with them. We build a targeting segment. We would upload that into our one of our SSPs, we would build a deal ID, you know, they would connect it back. And there’s a lot of different pieces that happen along the way. And each one of those pieces you have to go to, you know, a UI, I’ve got to go to a dashboard, I’ve got to push that thing in. Some of it happens through an API, but a lot of it happens like going to a whole bunch of different web pages to make sure this stuff all works. So stuff all works. What’s cool about agents? And I’ll unpack this, and then I’ll go to the more of the consumer focus side too. But what’s really cool about agents using, you know, things like the ACP framework from the Agentic Advertising Org., the ARTF (Agentic Real Time Framework) from IAB Tech Lab is they’re kind of built on some of the existing frameworks that allow humans to use natural language to communicate between these different systems. So there’s still the back end pipes of API pushing data or pulling data from one system to another. But on top of that is more of an agentic framework that allows, you know, a human just to use some prompting, like in chatGPT, to make a request, you know, that talks to a back end system. So that’s one part of the agentic framework for like, you know, how to think about this through the lens of advertising and marketing. And then the other side is, you know, more of the consumer focused. There are so many interesting and very quickly growing tools you know, that you can start to plug in, into Cloud, into Cloud code, and to building things that just rapidly accelerate development of different products and your ability to analyze data quickly. I think in the next, you know, 6 to 12 months, we’re going to have a totally different landscape for how people are buying like trading media also, you know, one more final thought about all of this is that a lot of the sophisticated tooling and pipes that we have are only accessible towards the largest advertisers today. And I think that you’ll pretty quickly see a democratization of the ability for anybody to just buy programmatic ads, whether you’ve got a $20 a month budget or a $20 million a month budget. Now, the ability to similar types of tools to access the right content across the web will start to be available towards a lot more folks outside of the existing, you know, kind of ad tech ecosystem. Christian Klepp  23:55 And I might be stating the obvious when I say this here, but that’s a good thing, isn’t it, because, I mean, I, again, I came out of this industry, and I know that, like, you know, if you wanted to advertise in the New York Times, for example, right? Like, how expensive that would be, or, or anything that was print, right? And then they migrated all that to digital, and then it still wasn’t, it still wasn’t affordable. It was, it was cheaper than print, but still not like, exactly like, you know, yeah, I wonder, wonder if they’ll be worth the investment or not. And then now you have this, this push towards the democratization of all of this through AI and machine learning and, and I do think that you know, for all the the scare mongering that you know people are doing now with, with, oh, you know, all this stuff around AI, I do think that that part certainly will be advantageous to to B2B companies and to marketing in general. Brendan Norman – Classify  24:49 Great. I mean, yeah, optimistically, I think I’m excited about the entire landscape changing because it does a couple things. It allows for much more contextually relevant ads. I know right now there’s only, let’s call it to the magnitude of like, 1000s, 10s of 1000s, maybe hundreds of 1000s, of campaigns and or brands that are able to use these pipes to reach the largest publishers. And all of a sudden you expand that out. You know, I think between meta and Google, they each have somewhere between 15 to 20 million unique advertisers on their platforms, and what that means is, you get really hyper specific ads. And it also means that, like, I might get a local ad for my hometown here for some restaurant that’s launching a promotion that I might only get here, and I might only get to your point, maybe not in the morning, but I’ll get in the evening. There’s a lot of different data sets around my identity, you know, the psychographic profile, contextual understanding of what I’m reading at that exact moment. And what it does a lot of things. It helps smaller brands get more traction, get more visibility. It also just helps improve the publisher experience, and like publishers, make more money. And then the user who’s consuming that content, reading the web page, watching a video, also has just a better experience. And then the other layer of that will continue to just go on, this narrative of agentic, tension, but the agents who are reading that content, watching that video for an end user. On the other side, are also able to interact with advertising content that’s very contextually relevant to the content that they’re consuming again, and it’s good for the storytelling of the advertiser and good for monetization of that publisher too. Christian Klepp  26:38 Absolutely, absolutely. Okay. So how can high fidelity curation? This is the next question, right? How can high fidelity curation make B2B companies more sustainable? And if you can just provide an example, Brendan Norman – Classify  26:54 Curations like, it’s such an interesting term, but you know, effectively, it’s just, it’s helping to use the word and the definition, the definition in the word, curate the right inventory to run an ad campaign on, and curate the right inventory and audiences. So it’s a really important part of the business. I think it involves a couple things. It involves front end targeting, of knowing who’s the back to that question, who’s the audience, and then what’s the right content, and then it also involves a lot of ongoing optimization. And I’ll say that there are some some interesting companies that that are really good at curation, who are building out the right automatic tools to think about more real time optimization, and it’s something that the really big social media companies do very well, like they’re constantly looking at lots and lots of signals when they’re running a campaign, and they’re looking at inventory and stitching together based on the signals that they’re acquiring around. Why certain campaigns do well, to your point, you know, when we’re testing that, selling that pair of skis to Christian, we’re testing a lot of things. We’re testing what he’s reading, you know, we’re testing maybe time of day. We’re testing, you know, where he is. There’s a lot of different elements on the back end that they will ingest and understand and then refeed into that targeting and optimization algorithm. And I think that that is one of the cool things that AI to use, like the air quotes, AI will help enable the processing of a lot of this data to just be a lot faster, be a lot more cost effective, and a lot of these systems that you know previously have been not accessible to the ad tech ecosystem, just because we we operate at such a crazy scale of 10s, hundreds of billions of requests and impressions and transactions that happen every single day. It’s very cost expensive if you’re processing all of that data and all these different signals, with the advancement of how the model cost is getting a lot less expensive, very quickly, not just from an LLM perspective, but then the foundational layers and the infrastructure layers, like we’re doing contextual intelligence as an infrastructure layer. There are inference layers that all kind of sit underneath the LLM and help inform an LLM understanding of that content. As those costs start to decrease, you’ll start to see a lot better performance from curation, just because, you know, it’s not as cost prohibitive, and we’ll be able to find that balance in terms of economics. Christian Klepp  29:45 Yeah, yeah, you hit the nail on the head there. Because, you know, I was just writing this down. You said faster, more cost effective and in my head, and you said it, it’s like, and at scale, like, you can scale this stuff faster, like, when I when I think back, like, years ago, when we, when we launched an ad campaign, and, you know, just the amount of effort, like, for the print and then the cost into, you know, the media placements and all of that and and just alone for like, one city, just just the amount of investment that was involved in all of that, right? Just think, thinking about that. It’s like, gosh, and then now you can scale all of that, like, even faster, because it’s because it’s digital, right? So it’s just such an incredible evolution. Like, I’m getting just as excited as you are man, I’m like, for this next question. Brendan, I’m not sure if you’re the type that likes to do this, but I need you to look into the crystal ball for a second here, right? Because we’re looking at, like, stuff that is, you know, the events that are yet to come, if I’m gonna that, make it sound a little bit suspenseful, but, um, the future of digital advertising, like, how do you think that could become less fragmented and more optimized with everything that we’ve talked about in this conversation. Brendan Norman – Classify  31:04 Yeah, I caution against, like, having any, any specific predictions, and more of, like, a framework for, I mean, for me, at least, yeah, more of a framework for how I think overall, jobs will change. I think that people will have to spend a lot less time doing a lot of the manual, rote tasks that they’re doing today. And, you know, kind of in parallel with what we’re seeing in terms of vibe coding and people’s ability to build product really quickly, design new web pages really quickly. Like, get ship things out quickly. I think a lot of the the infrastructure layer tools, or just call them like, you know, the like, chatGPT style, cloud-based tools, LLMs, we’ll see a lot deeper integration into existing advertising product. And what that does is it helps democratize the whole ecosystem. So I think it frees up people’s time to not have to do a lot of the basic administrative, reporting, manual, campaign, optimization type stuff, and it will help service a lot better insights. Ultimately, I think the industry grows, and I think it scales even faster. And, you know, cautiously, optimistically, I think that we, we will have back to building on the curation piece, and, you know, the advertiser, outcomes piece, publisher, monetization piece, user experience piece, I think that all those things will increase, and I I’m hopeful that with the integration of just better technology, embedding AI into a lot of these systems, it’s going to help steer us towards having better experiences across any type of Publisher content. I think that the advertisers will see better outcomes. I think that the people that are in this industry will get to think more creatively about how they’re, you know, building better creative storytelling, better reaching the right people with those stories. And my hope is that it just continues to expedite and grow the overall industry. Brendan Norman – Classify  33:17 That will be my hope as well. All right, get up on your soapbox here for a little bit. What is a status quo in your area of expertise? So anything that we’ve talked about now in this conversation, what’s the status quo that you passionately disagree with and why? Oh, you must have a ton. Brendan Norman – Classify  33:44 I definitely do. I mean, you know, Christian Klepp  33:48 just name one, just one, Brendan Norman – Classify  33:50 Like in any industry, you know, there’s always, there’s always the early adopters, you know, there’s always the kind of like the middle stack, you know, there’s always, like, the laggards. There’s definitely, you know, a smaller, but growing quickly, minority of folks who are really leaning into, you know, I’ll just call it AI, and then the agentic web, and there’s a lot of discussion right now in ad tech around like, what that means? I’m still hearing that. There’s a lot of skeptics who are kind of making fun of it, or, you know, trash talking about different protocols. Fine, like those are the folks that are absolutely going to get left behind. And I think a lot of those folks on the soapbox in the next 6 to 12 months will look back at, you know what they said, and we’ll all kind of say that didn’t age well, and you were not building this stuff. You weren’t fingers on keyboard or hands on keyboard. Vibe marketing, vibe targeting, building stuff like shipping new product and testing and iterating. What I what I don’t think, is that the really big platforms are just able to be super nimble and adapt to a lot of these new frameworks quickly, totally like the pipes will continue to stay there. I think that there will be startups that are more nimble, that can build and ship things, you know, proof of concepts, prototypes, get things out, learn from them, fail, iterate, and then start to scale meaningful businesses without having to rely on a lot of the existing infrastructure that exists today. Do I think the trade desk is, you know, going anywhere? No, do I think that they will, like, continue to be a valuable piece in this ecosystem, absolutely. And I think that they will ship things. I think that they’ll enable the industry like to build on top of of the pipes that they’ve already built. And at the same time, I think a lot of that rapid advancement will come from startups who are kind of proving that, like they don’t necessarily need the existing pipes and channels to be able to at the end of the day, you know, this whole ecosystem is about helping an advertiser surface their ad against the right content for a human or for an agent. And there have been a lot of folks kind of sitting in the middle for that space for a long time. One of my favorite stats, soapboxy stats, is that if an advertiser puts $1 in to the open web with a programmatic web, 35 cents comes out to a publisher, so 65 cents is being taken by some combination of middlemen, you know, who are collecting a margin for, you know, different services, also some version of fraud. There’s a lot of things that happen in between that and what I’m again, cautiously optimistic about, you know, like the big picture, AI, of facilitating, is the ability to reduce that margin so that, you know, advertiser puts $1 in. A lot more of that dollar comes out towards the publisher, I think big social media, you know, it’s around 70 cents comes out. So they take, you know, somewhere between 25 to 30 cents, which is kind of the value exchange of providing the services, all the targeting, all the technology that goes into supporting that, you know, as a more fair exchange. So I think what a lot of the folks on more of the startup on more of like the front end of the frontier tech in the space we’re excited about is getting to reduce a lot of that inefficiency and a lot of that margin in the middle, and helping more of that dollar show up towards the publisher where it should. Christian Klepp  37:34 Boom and there you have it. Man Brendan, this has been awesome conversation, so thanks again for your time, please. Quick intro to yourself and how folks out there can get in touch with you. Brendan Norman – Classify  37:45 Yeah. Brendan Norman, CEO co-founder at Classify, please. You know, hit me up on LinkedIn or shoot me an email. Check out our website, which is, you know, www.tryclassify.com. I’m happy to connect. You know, if you have questions about advertising from a publisher side, from an advertiser side. Love to chat about it. Christian Klepp  38:06 Sounds good. Sounds good once again. Brendan, thanks for your time. Take care, stay safe and talk to you soon. Brendan Norman – Classify  38:13 Cool. Thanks, Christian. Christian Klepp  38:14 All right. Bye for now.

Episode: The Boy AquariumToday's Vibe: heated rivalry and some banterEpisode Drop: 02/19/2026• • • • • • • • • • • • • • • • • • • • • • • • • • •In This Episode:Bad Bunny Feat. Super BowlWrestlingHeated Rivalry Show• • • • • • • • • • • • • • • • • • • • • • • • • • •Come Sit With Us:

If you want to learn, do 0:00 Vibe coding is the new product management 2:13 Training models is the new coding 6:49 Is traditional software engineering dead? 10:13 There is no demand for average 13:07 The hottest new programming language is English 14:12 AI is adapting to us faster than we are adapting to it 18:36 No entrepreneur is worried about AI taking their job 22:56 The goal is not to have a job 26:46 AIs are not alive 29:49 AI fails the only true test of intelligence 32:55 Early adopters of AI have an enormous edge 36:49 AI meets you exactly where you are 39:37 Always leverage the best intelligence 43:02 If you can't define it, you can't program it 44:37 The solution to AI anxiety is action 49:37 -- Transcript: http://nav.al/ai

AI Assisted Coding: How Spending 4x More on Code Quality Doubled Development Speed What happens when you combine nearly 30 years of engineering experience with AI-assisted coding? In this episode, Eduardo Ferro shares his experiments showing that AI doesn't replace good practices—it amplifies them. The result: doubled productivity while spending four times more on code quality. Vibe Coding vs Production-Grade AI Development "Vibe coding is flow-driven, curiosity-based way of building software with AI. It's less about meticulously reviewing each line of code, and more about letting the AI steer the process—perfect for quick experiments, side projects, MVPs, and prototypes."   Edu draws a clear distinction between vibe coding and production AI development. Vibe coding is exploration-focused, where you let AI drive while you learn and discover. Production AI coding is goal-focused, with careful planning, spec definition, and identification of edge cases before implementation. Both use small, safe steps and continuous conversation with the AI, but production code demands architectural thinking, security analysis, and sustainability practices. The key insight is that even vibe coding benefits from engineering discipline—as experiments grow, you need sustainable practices to maintain flexibility. How AI Doubled My Productivity "I was investing four times more in refactoring, cleanup, deleting code, introducing new tests, improving testability, and security analysis than in generating new features. And at the same time, globally, I think I more or less doubled my pace of work."   Edu's two-month experiment with production code revealed a counterintuitive finding: by spending 4x more time on code quality activities—refactoring, cleanup, test improvement, and security analysis—he actually doubled his overall delivery speed. The secret lies in fast feedback loops. With AI, you can implement a feature, run automated code review, analyze security, prioritize improvements, and iterate—all within an hour. What used to be a day's work happens in a single focused session, and the quality improvements compound over time. The Positive Spiral of Code Removal "We removed code, so we removed all the features that were not being used. And whenever I remove this code, the next step is to automatically try to see, okay, can I simplify the architecture."   One of the most powerful practices Edu discovered is using AI to accelerate code removal. By connecting product analytics to identify unused features, then using AI to quickly remove them, you trigger a positive spiral: removing code makes architecture changes easier, easier architecture changes enable faster feature development, which leads to more opportunities for simplification. This creates a self-reinforcing cycle that humans historically have been reluctant to pursue because removal was as expensive as creation. Preparing the System Before Introducing Change "What I want to generate is this new functionality—how should I change my system to make it super easy to introduce this one? It's not about making the change, it's about making the change easy."   Edu describes a practice that was previously too expensive: preparing the system before introducing changes. By analyzing architecture decision records, understanding the existing design, and adapting the codebase first, new features become trivial to implement. AI makes this preparation cheap enough to do routinely. The result is systems that evolve cleanly rather than accumulating technical debt with each new feature. AI as an Amplifier: The Double-Edged Sword "AI is an amplifier. People who already know how to develop software well will continue to develop it well and faster. People who did not know how to develop software well will probably get in trouble much faster than they would otherwise."   Edu's central metaphor is AI as an amplifier—it doesn't replace engineering judgment, it magnifies its presence or absence. Teams with strong practices will see accelerated improvement; teams without them will generate technical debt faster than ever. This has implications beyond individual productivity: the market will be saturated with solutions, making product discovery and distribution channels more important than implementation capability.   In this episode, we refer to Edu's blog post Fast Feedback, Fast Features: My AI Assisted Coding Experiment and Vibe Coding by Gene Kim.   About Eduardo Ferro Edu Ferro is Head of Engineering and Data Platform at ClarityAI, with nearly 30 years' experience. He helps teams deliver value through Lean, XP, and DevOps, blending technical depth with product thinking. Recently he explores AI-assisted product development, sharing insights and experiments on his site eferro.net.   You can connect with Edu Ferro on LinkedIn.

Coach Tory and Coach Don welcome you to Episode 408 of Everything Fast Pitch. In “Did You Know,” they cover an NCAA rule change allowing all institutional staff in baseball/softball to provide technical and tactical instruction through the end of the current season, noting it may widen the gap between well-funded “super schools” and smaller programs.  A listener question  addresses a Sports Illustrated article about Texas Tech and the Matador Club, explaining NIL/tampering loopholes where collectives can contact players even when coaches cannot, and discussing how agents and NIL have changed recruiting. The lead-off segment is Part 2 of Tory's interview with former Georgia standout and pro player Sara Mosley, who recounts her determination to play at Georgia, a showcase moment after being doubted by Coach Tony, her high school adversity (broken hips, two knee surgeries, and her father Bob Mosley's death junior year), and how those experiences reshaped her purpose. She describes COVID-era disruptions at Georgia, the team's run to the Women's College World Series after a difficult SEC season, and excitement about Georgia's new facility. Sarah discusses the challenging transition from college to pro softball (including playing in Chattanooga and with the Vibe), her Four in One Sports Christian-themed batting gloves and matching glove, and her move into coaching travel ball and taking a coaching job at her high school. In the cleanup segment, Tory and Don note early Division I trends. Several mid-majors earning big wins , and they identify four teams separating themselves early—Texas Tech, Tennessee, Texas, and Oklahoma—citing depth and pitching staffs. They also mention strong senior pitching across D1 and early struggles by some lower-half SEC teams, plus Nebraska as dangerous but with early losses that could affect seeding. The coaching tip addresses creating live batting practice without overusing team pitchers, suggesting scrimmage variations, front toss, small-group games, using older/guest pitchers or paid pitchers appropriately by age and timing, and balancing challenge with confidence. Support the show

Karl Ferguson Jr. never planned to be a photographer. He picked up a camera because he was following his interest in the burgeoning Hip Hop Scene. Years later, his portraits of Black culture have appeared in Vibe, Billboard, and The Hollywood Reporter. In this conversation, Karl talks about what it really takes to build a creative life on your own terms, why he spent two decades at Verizon while quietly becoming one of the most sought-after photographers in entertainment, and what it means to be a visual historian when representation is still a fight. Chapters 00:00  Introduction to Karl Ferguson and the "Visual Historian" 02:20  From The Bronx to the Music Industry 04:02  Picking Up the Camera Out of Necessity 06:26  The First Byline: Validation from Vibe Magazine 08:32  Mastering the Art of Networking and Relationships 15:07  The Responsibility of the Visual Historian 17:07  Creating Intimacy in Celebrity Portraiture 23:31  Building Community at The Grand Studio 25:48  Demystifying the Role of the Digital Tech 31:40  Breaking the Starving Artist Myth: The Verizon Years 43:40  The Importance of Personal Work and Creative Play 49:55  Redefining Success Through authentic Connection Connect with Karl: Follow Karl on Instagram: https://www.instagram.com/karlfergusonjr Karl's website: https://www.karlfergusonjr.com/ Support the Show Website: http://www.martineseverin.comFollow on Instagram: @martine.severin | @thisishowwecreate_ Subscribe to the Newsletter: http://www.martineseverin.substack.com This is How We Create is produced by Martine Severin. This episode was edited by Daniel Espinosa. Podcast show art is designed by Violetta Encarnación. Music by Timothy Infinite.   Subscribe wherever you get your podcasts Leave a review Follow us on social media Share with fellow creatives  

AI Assisted Coding: Stop Building Features, Start Building Systems with AI What separates vibe coding from truly effective AI-assisted development? In this episode, Adam Bilišič shares his framework for mastering AI-augmented coding, walking through five distinct levels that take developers from basic prompting to building autonomous multi-agent systems. Vibe Coding vs AI-Augmented Coding: A Critical Distinction "The person who is actually creating the app doesn't have to have in-depth overview or understanding of how the app works in the background. They're essentially a manual tester of their own application, but they don't know how the data structure is, what are the best practices, or the security aspects."   Adam draws a clear line between vibe coding and AI-augmented coding. Vibe coding allows non-developers to create functional applications without understanding the underlying architecture—useful for product owners to create visual prototypes or help clients visualize their ideas.  AI-augmented coding, however, is what professional software engineers need to master: using AI tools while maintaining full understanding of the system's architecture, security implications, and best practices. The key difference is that augmented coding lets you delegate repetitive work while retaining deep knowledge of what's happening under the hood. From Building Features to Building Systems "When you start building systems, instead of thinking 'how can I solve this feature,' you are thinking 'how can I create either a skill, command, sub-agent, or other things which these tools offer, to then do this thing consistently again and again without repetition.'"   The fundamental mindset shift in AI-augmented coding is moving from feature-level thinking to systems-level thinking. Rather than treating each task as a one-off prompt, experienced practitioners capture their thinking process into reusable recipes. This includes documenting how to refactor specific components, creating templates for common patterns, and building skills that encode your decision-making process. The goal is translating your coding practices into something the AI can repeatedly execute for any new feature. Context Management: The Critical Skill For Working With AI "People have this tendency to install everything they see on Reddit. They never check what is then loaded within the context just when they open the coding agent. You can check it, and suddenly you see 40 or 50% of your context is taken just by MCPs, and you didn't do anything yet."   One of the most overlooked aspects of AI-assisted coding is context management. Adam reveals that many developers unknowingly fill their context window with MCP (Model Context Protocol) tools they don't need for the current task. The solution is strategic use of sub-agents: when your orchestrator calls a front-end sub-agent, it gets access to Playwright for browser testing, while your backend agent doesn't need that context overhead. Understanding how to allocate context across specialized agents dramatically improves results. The Five Levels of AI-Augmented Coding "If you didn't catch up or change your opinion in the last 2-3 years, I would say we are getting to the point where it will be kind of last chance to do so, because the technology is evolving so fast."   Adam outlines a progression from beginner to expert:   Level 1 - Master of Prompts: Learning to write effective prompts, but constantly repeating context about architecture and preferences Level 2 - Configuration Expert: Using files like .cursorrules or CLAUDE.md to codify rules the agent should always follow Level 3 - Context Master: Understanding how to manage context efficiently, using MCPs strategically, creating markdown files for reusable information Level 4 - Automation Master: Creating custom commands, skills, and sub-agents to automate repetitive workflows Level 5 - The Orchestrator: Building systems where a main orchestrator delegates to specialized sub-agents, each running in their own context window The Power of Specialized Sub-Agents "The sub-agent runs in his own context window, so it's not polluted by whatever the orchestrator was doing. The orchestrator needs to give him enough information so it can do its work."   At the highest level, developers create virtual teams of specialized agents. The orchestrator understands which sub-agent to call for front-end work, which for backend, and which for testing. Each agent operates in a clean context, focused on its specific domain. When the tester finds issues, it reports back to the orchestrator, which can spin up the appropriate agent to fix problems. This creates a self-correcting development loop that dramatically increases throughput.   In this episode, we refer to the Claude Code subreddit and IndyDevDan's YouTube channel for learning resources.   About Adam Bilišič Adam Bilišič is a former CTO of a Swiss company with over 12 years of professional experience in software development, primarily working with Swiss clients. He is now the CEO of NodeonLabs, where he focuses on building AI-powered solutions and educating companies on how to effectively use AI tools, coding agents, and how to build their own custom agents.   You can connect with Adam Bilišič on LinkedIn and learn more at nodeonlabs.com. Download his free guide on the five levels of AI-augmented coding at nodeonlabs.com/ai-trainings/ai-augmented-coding#free-guide.

Today we're going to chat about what happens to your vibration when you take things personally.  You might not realize it, but reacting to others' words or actions as if they're about you can seriously lower your energy. In this episode, I'm breaking down why this happens, how it messes with your manifesting power, and practical mindset shifts to stop taking it all to heart.  Tune in for real-life examples and simple tips on how to stop letting others' moods affect your vibe and how to stay energetically aligned. Check out How to Stay Out of Other People's Vibrations For all things Law of Attraction, visit Jennifer365.com.   Get my Vibe Notes for high-vibe tips between episodes.   I offer schedule-as-you-want coaching. Coaching with me is a great way to raise your vibration. Want to support the podcast?  Buy me a coffee.  ☕️ Looking for an episode about a particular topic?  Check out the LYL Index.    

Which accounting firms really deliver sane hours and happy teams? Dom Piscopo (Big Four Transparency) reveals this year's best—and worst—by job satisfaction and hours, including surprising outliers. Blake and David also unpack how AI startups are carving up PwC-style services, why Hazel AI rattled wealth managers and Intuit/Xero stocks, and where GLs still hold a moat. Plus, a practical way to use AI for W‑4/withholding—and an accountant's take on Carvana's too-good-to-be-true margins.SponsorsOnPay - http://accountingpodcast.promo/onpayUNC - http://accountingpodcast.promo/uncFutureViews System - http://accountingpodcast.promo/bezChapters(01:19) - Pets, Candy, Jewelry & Prefixed Dinners: Where the Money Goes (03:14) - Live Chat Shoutouts + Today's Guest Tease: Big Four Transparency (05:53) - Yours, Mine & Ours: How Couples Split (or Merge) Money (08:56) - Financial Secrets vs. “Cheating”: The Bankrate Survey Findings (11:01) - Meet Dom Piscopo + 2025 Best/Worst Firms by Job Satisfaction (15:43) - How the Rankings Work: Sample Size, Methodology & Office Variance (19:28) - Service Lines Compared: Tax vs Audit vs Advisory Satisfaction Trends (22:28) - Hours Worked Rankings + Do Hours Actually Drive Happiness? (25:04) - Where the Big Four Land: Satisfaction & Hours Benchmarks (26:51) - AI Disruption Debate: “Every PWC Webpage Is a $10B Startup” Tweet (28:47) - AI Startups vs QuickBooks: The SaaS Attack Cycle Restarts (29:55) - Hazel AI Shakes Wealth Management: Tax Planning at Scale (32:19) - Consumers Trust AI Money Advice + A Withholding/W-4 Use Case (35:11) - “Good Enough” AI: How Firms Can Productize & Review AI Work (36:38) - What Humans Still Do: Taste, Comfort, and Serving the Underserved (41:51) - Intuit & Xero Stocks Drop: CEOs Defend the Data-and-Trust Moat (45:11) - TurboTax Disruption? Building Tax Engines with AI Agents (46:52) - Vibe Coding Reality Check: Small Tools Now, ERPs Much Later (51:32) - Carvana Accounting Red Flags: When Margins Don't Add Up (56:04) - Wrap-Up: Big Four Transparency + CPE Credits via Earmark  Show NotesValentine's Day Spending Expected to Reach New Records https://nrf.com/media-center/press-releases/valentine-s-day-spending-expected-to-reach-new-records Survey: Most Couples Keep At Least Some Of Their Money Separate https://www.bankrate.com/credit-cards/news/couples-finances/ Survey: 2 In 5 Americans In A Relationship Have Kept A Financial Secret From Their Partner https://www.bankrate.com/credit-cards/news/financial-infidelity-survey-2025/ AI Tax App Crashes Financial Stocks on Wall Street https://cpatrendlines.com/2026/02/10/ai-tax-app-crashes-financial-stocks-on-wall-street/ Americans Are Asking AI for Money Advice, But Should They Trust It? https://www.bestmoney.com/financial-advisor/learn-more/do-americans-trust-fin-ai 82% trust AI for financial information and guidance https://www.accountingtoday.com/news/82-trust-ai-for-financial-information-and-guidance Intuit Is Down 33% Year to Date. Here's Where the Stock Could Be Headed in 2026 https://www.tikr.com/blog/intuit-is-down-33-year-to-date-heres-where-the-stock-could-be-headed-in-2028 Intuit Stock Is Down 24% Already In 2026. Time to Buy? https://www.fool.com/investing/2026/01/30/intuit-stock-is-down-24-already-in-2026-time-to-bu/ Xero (ASX:XRO) Shares Crash 13% in Tech Selloff—Broker Urges Hold https://kalkine.com.au/news/technology/xero-asxxro-shares-crash-13-in-tech-selloffbroker-urges-hold Xero share price slides 14% in a week — what to watch next for ASX:XRO https://ts2.tech/en/xero-share-price-slides-14-in-a-week-what-to-watch-next-for-asxxro/ I've tested and ranked the 10 best vibe coding tools in 2026 https://www.techradar.com/pro/best-vibe-coding-tools Your Complete Guide To Vibe Coding Tools In 2026: Build Apps Just By Talking To AI https://softtechhub.us/2026/02/11/guide-to-vibe-coding/ AI startup Replit launches feature to vibe code mobile apps https://www.cnbc.com/2026/01/15/ai-startup-replit-launches-feature-to-vibe-code-mobile-apps.html Vibe coding - Wikipedia https://en.wikipedia.org/wiki/Vibe_coding What's actually driving Carvana's margins? https://www.cfo.com/news/whats-actually-driving-carvana-margins-ernie-garcia-drivetime-bridgecrest-zach-shefska-ray-shefska-/810911/Need CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsori...