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Choosing the right brokerage is one of the most important decisions a real estate agent can make - and most people don't give it nearly enough thought. In this episode, Cory sits down with his good friend, fellow agent, and real estate investor Anthony Scornaienchi, known as @casual_realestate on Instagram, for a candid conversation about why they both made the move to REAL and haven't looked back. This isn't a sales pitch - it's two agents who have seen what the industry looks like from the inside sharing why they believe REAL represents a genuine shift in what a brokerage can be. They break down what makes REAL stand out for both new and experienced agents, from the technology and tools that actually make your day-to-day easier, to the culture of collaboration that most brokerages simply don't have, to the platform REAL has built that gives agents real leverage to grow their business and their income. Whether you're a brand new agent trying to figure out where to hang your license or a seasoned producer wondering if there's a better home for your business, this episode gives you an honest, boots-on-the-ground look at what REAL is actually like from two people living it. If you've been thinking about making a move, this is the episode to listen to before you decide. Book your call with Neo Home Loanshttps://www.neoentrepreneurhomeloans.com/wjpodcast/ Book your mentorship discovery call with Cory RESOURCESGet business funding - revenued.com/juice
Stuck writing your novel? Wherever your draft stalls out—chapter one, 20,000 words, the messy middle—that spot isn't random. It's a clue that tells you exactly what your story is missing.Almost every writer who gets stuck while drafting a novel assumes the same thing: that hitting a wall means something about them. That they're not disciplined enough, they're not a "real" writer, or they simply don't have what it takes to finish a book.But getting stuck isn't a verdict on you as a writer. In fact, it's valuable information you can use to your advantage. Because the exact place where you lose momentum may just reveal the missing piece in your story's foundation. And the good news is that those gaps are fixable.In this episode, I'm breaking down the three most common places writers get stuck while drafting a novel, what each one reveals about your story, and how to fix the underlying issue so you can move forward without anything holding you back. You'll hear me talk about things like:[00:54] Why getting stuck doesn't mean you're a bad writer (and how your stall gives you valuable information about your story).[02:27] Why writers get stuck in chapter one and how to tell when you have a situation instead of a fully developed story.[05:16] The real reason many writers hit a wall around 20,000 words (and the missing piece that keeps Act 1 from moving into Act 2).[08:32] Why the messy middle feels impossible to write when your antagonist isn't creating enough pressure and conflict.[13:42] How Stefanie, Cheryl, and Gina found the missing pieces in their stories, broke through their sticking points, and went on to finish and publish their novels.Getting stuck isn't proof that you're not meant to write your book. It's a sign that your story is asking you to strengthen something underneath the surface. And when you know what's missing, you can go back, build the foundation, and move forward with a story that can actually support a full-length novel.
"It's an in-house, ready-to-go agency. Which is free for all merchants." That's how Sachin Malhotra, Shopify's Director of Product for Merchant Marketing, describes Campaign Autopilot, the new AI marketing tool Shopify just announced as part of Editions. It sets up your ad accounts, syncs your catalog, and runs Meta Advantage+ checkout campaigns inside the guardrails you set. You teach it your boundaries, it does the heavy lifting, and you keep oversight the whole way. Sachin walks Kurt through how the "ask me first" controls work, why the tool optimizes across Meta, Microsoft Ads, ChatGPT, and Snap instead of fixating on one channel, and how it stacks with Shop Campaigns and its pay-only-when-you-get-an-order billing. If online advertising has ever felt like yelling into the void, start here. LINKS Campaign Autopilot: shopify.com/blog/introducing-campaign-autopilot Shopify Editions SPONSORS Swym - Wishlists, Back in Stock alerts, & more getswym.com/kurt Cleverific - Smart order editing for Shopify cleverific.com Zipify - Build high-converting sales funnels zipify.com/KURT WORK WITH KURT Apply for Shopify Help ethercycle.com/apply See Our Results ethercycle.com/work Free Newsletter kurtelster.com The Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.
Hour 1 of Scotty G. & The Coach with Scott Garrard and Tim LaComb. Starting Lineup Make A Decision LeBron! What You May Have Missed
Hour 2 of Scotty G. & The Coach with Scott Garrard and Tim LaComb. LeBron James' agent Rich Paul sends clear message to frustrated fans over the Decision 4.0 G, B, & U: Red Sox halt Orioles' win streak, extend their own to 14 Bill Armstrong, General Manager for the Utah Mammoth
Domo and AWS reveal how AI agents freed sales reps from 20 hours of weekly busywork, turning scattered data into real-time coaching and forecasting.Topics Include:Domo and AWS teams introduce today's session on AI agents in sales.Topic: using AI agents to transform sales operations, from insight to action.IT teams increasingly asked to turn data into actionable outcomes, not just access.Domo's CRO wanted AI agents to boost sales rep efficiency significantly.Reps act like "archaeologists," digging through scattered systems for basic context.This digging eats roughly 20 hours weekly, half of reps' time.Goal: personal AI agent per rep, understanding their book of business.Live demo begins: agent app surfaces urgent items needing attention.Agent tracks deal milestones, timelines, and forecasts from call and email data."Deal coach" feature grades rep performance and suggests next actions.Agent tone can be tuned from gentle to direct, aiding tough feedback.Architecture overview begins: building an AI-ready data foundation first.Data from CRM, calls, and emails flows into a cloud warehouse.Two agents built: automated deal analysis and personalized deal coach.Agents write insights back to CRM, preserving human edit control.Recipe: build foundation, activate with agents, distribute to people.Governance must be embedded throughout, not bolted on afterward.Second example: Fogo do Chão uses AI to analyze restaurant reviews.AWS architecture explained: Domo runs on Bedrock, defaulting to Anthropic models.Q&A: sales team adoption was immediate and enthusiastic post-rollout.Participants:Jason Longhurst – Head of Product Marketing, DomoAman Tiwari - Sr Solutions Architect, ISV, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
On this podcast Dominique DiPrima and Dr. Melina Abdullah update the call to action as Black Lives Matter Grassroots, the NAACP and the family of Kieth Porter are calling for the arrest of Brian Palacios the ICE officer who killed Black American Keith Porter in Los Angeles. Karmelo Anthony, Nolan Wells, and Tyrin Johnson are also in the conversation. Dr. Melina Abdullah is a professor of Pan African Studies at Cal State LA and the Director of Black Lives Matter Grassroots.
Howie Kurtz on the environmental impact of Canadian wildfires, President Trump ordering a review of climate guidance from the National Academy of Sciences, a media report detailing dismissed immigration assault charges, and escalating military conflicts between the U.S. and Iran. Learn more about your ad choices. Visit podcastchoices.com/adchoices
What students achieve is tied to whether they feel valued — and the same is true for the teachers who serve them. In this Motivational Monday conversation, coach and author Debbie Simões (founder of Best Questers, co-author of High Five to Thrive) shows teachers how valuing students transforms a classroom, even on the hardest days. Drawing on years in inner-city classrooms, Debbie shares how to see past a child's behavior to the person of value underneath, how to communicate to connect instead of to correct, and how to be a "hope agent" for yourself and your colleagues in a season of burnout and teacher shortages. In this episode, you'll learn: Why "communicate to connect" changes how kids respond to correction The difference between behavior-based praise and identity-based praise How to respond when a student is at their worst What it means to be a "hope agent" when your own tank is low The mantra that can transform a school: people of value who value people and add value to them Full show notes and resources: https://www.coolcatteacher.com/e950 If this episode encouraged you, share it with a teacher friend and rate the show wherever you're listening.
By 2030, the biggest wave of new jobs isn't going to reward people who can chat with AI. It's going to reward people who can build with it.Right now most people are still typing prompts one at a time, while a small group is quietly building AI agents that run their businesses in the background.In this episode, I show you exactly how I went from doing the work to directing it, and how you can build your first AI agent this week even if you've never touched code.Watch until the end and you'll walk away with a repeatable way to think about every future agent you build.✅ Get Your FREE AI Company Operating System here: https://go.danmartell.com/3SXCfgk
Most flippers are chasing finishes. Claire and Sam O'Connor are chasing emotion. In this episode, Keith Robinson sits down with the sisters behind O'Connor Estates to discuss how they've built a thriving luxury development business by creating homes that buyers fall in love with, not just homes that look good on paper. They share why thoughtful design consistently beats cookie-cutter renovations, how they divide responsibilities as business partners, and why betting on yourself is often the biggest investment you'll ever make. Links mentioned during the episode: O'List: https://oconnorestates.com/the-o-list/ To learn more and connect with Claire and Sam visit Instagram - YouTube and online at oconnorestates.com. Secure your ticket at https://www.unlockconference.com/ and use discount code REIU20 for 20% off your ticket. *Lock in your spot now before the price goes up.* Code can be used on all full-priced passes leading up to the event and cannot be combined with any other discounts. Subscribe to Real Estate Insiders Unfiltered on YouTube! https://www.youtube.com/@RealEstateInsidersUnfiltered?sub_confirmation=1 To learn more about becoming a sponsor of the show, send us an email: jessica@inman.com You asked for it. We delivered. Check out our new merch! https://merch.realestateinsidersunfiltered.com/ Follow Real Estate Insiders Unfiltered Podcast on Instagram - YouTube, Facebook - TikTok. Visit us online at realestateinsidersunfiltered.com. Link to Facebook Page: https://www.facebook.com/RealEstateInsidersUnfiltered Link to Instagram Page: https://www.instagram.com/realestateinsiderspod/ Link to YouTube Page: https://www.youtube.com/@RealEstateInsidersUnfiltered Link to TikTok Page: https://www.tiktok.com/@realestateinsiderspod Link to website: https://realestateinsidersunfiltered.com This podcast is produced by Two Brothers Creative. https://twobrotherscreative.com/contact/ The views and opinions expressed on Real Estate Insiders Unfiltered are those of the hosts and guests in their personal capacities and do not necessarily reflect the views or positions of eXp World Holdings, Inc., eXp Realty, LLC, NextHome, Inc., or any of their respective affiliates, subsidiaries, officers, or directors.
Aujourd'hui, Bruno Poncet, cheminot, Laura Warton Martinez, sophrologue, et Charles Consigny, avocat, débattent de l'actualité autour d'Olivier Truchot.
Eliot Deval revient, sans concession, sur tous les sujets qui font l'actualité. Vous voulez réagir ? Appelez le 01.80.20.39.21 (numéro non surtaxé) ou rendez-vous sur les réseaux sociaux d'Europe 1 pour livrer votre opinion et débattre sur les grandes thématiques développées dans l'émission du jour.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Na początku lipca Reuters ujawnił nagranie z wewnętrznego town hallu w Meta. Mark Zuckerberg przyznał wprost: agenci AI rozwijają się wolniej, niż zarząd zakładał. Firma zwolniła 10 % kadry, przesunęła siedem tysięcy osób do zespołów AI i wyda w tym roku nawet sto czterdzieści pięć miliardów dolarów na infrastrukturę. Zakład jeszcze się nie zwrócił.Jarosław Kuźniar sprawdza, co mówią najnowsze dane. Gartner umieścił agentów na szczycie rozdmuchanych oczekiwań. Tylko 17 % firm ich wdrożyło, ale ponad 60 % planuje to zrobić w ciągu dwóch lat. Mimo to ponad 40 % projektów ma zostać anulowanych do 2027 roku. W tle jest zjawisko "agent washing”. Realną agentowość oferuje podobno tylko około stu trzydziestu z tysięcy dostawców. Testy Carnegie Mellon pokazują, że najlepsze modele kończą samodzielnie jedną trzecią zadań, a przy ośmiu powtórzeniach tego samego zadania skuteczność potrafi spaść z 60 % do 25 %.Komentarz inwestora Tomasza Karwatki dodaje ramę Geoffreya Moore'a. Koniec hype'u to nie koniec technologii, tylko przejście przez przepaść do pragmatycznej większości rynku. Nie zastępowanie ludzi, ale wzmacnianie ich narzędziami. To tam dziś są prawdziwe pieniądze.Z tego felietonu dowiesz się:- Co powiedział Zuckerberg pracownikom Meta o agentach AI?- Dlaczego Gartner widzi agentów na szczycie rozdmuchanych oczekiwań?- Czym jest "agent washing"?- Jak duży jest problem z powtarzalnością działania agentów?- Gdzie dziś naprawdę są pieniądze na AI, według Tomasza Karwatki?Chcesz mówić tak, żeby ludzie naprawdę słuchali i pamiętali? 5 modułów tematycznych. 5 sesji live z ekspertami. Dostęp do platformy szkoleniowej 24/7. Narzędzia i prompty AI. Zamknięta społeczność liderów. Sprawdź program kursu Public Speaking Academy i dołącz teraz: https://academy.voicehouse.co/psaJuż 28 lipca o 19:00 Jarosław Kuźniar zdradzi wszystko na temat Public Speaking Academy: moduły, eksperci, narzędzia, format pracy. 60 minut. Na Zoomie. Za darmo.Do zobaczenia: https://luma.com/ejo96t8sMasz pytanie do ekspertów? Możesz je zadać tutaj: https://tally.so/r/npJBAV W aplikacji Voice House Club m.in.:✔️ Wszystkie formaty w jednym miejscu.✔️ Możesz przeczytać lub posłuchać.✔️ Transkrypcje odcinków Serii in Brief z dodatkowymi materiałami wideo.Dołącz: https://bit.ly/VoiceHouseClub Znajdziesz nas też:
SUMMARY: Steven Walchek, CEO at Liminal, discusses secure AI enablement for regulated industries and why most enterprises are stuck in perpetual AI pilots. We explore the "agentic cliff" and how Behavioral Agent Automation Platforms (BAAPs) discover and deploy agents by observing how work actually happens.SHOW: 1046SHOW TRANSCRIPT: The Enterprise AI Show #1046 TranscriptSHOW VIDEO: https://youtu.be/nVte_ZKDID4SHOW SPONSORS:ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoRESOURCES:Liminal AISteven Walchek - LinkedInKEY TOPICS:Horizontal security for generative AIData privacy and compliance in AISecurity layers in AI deploymentAgentic AI and behavioral automationFuture industry trends in AI securityTAKEAWAYSSecurity for AI must be integrated at the application layer, not just network or perimeter.Data privacy concerns are central to AI adoption in regulated industries.Organizations need a security layer that supports multi-model, multi-provider AI engagement.Behavioral automation and agentic AI require observability and policy enforcement.The AI industry is still in early adoption, with significant growth expected in the next five years.CHAPTERS/TOPICS:00:00 Introduction and guest introduction02:09 Steven's background and journey in tech03:54 The core problem of AI security in regulated industries07:45 Data privacy concerns and industry challenges12:01 Liminal's approach to AI security and compliance15:52 Security at the application layer and network layer20:02 Agentic AI, behavioral automation, and observability30:04 Future trends and industry outlook31:46 How to connect with Liminal and closing remarksFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Wolfie looks at some rumours linking MGW with a move to Tottenham Hotspurs! Try Oxford Natural, Use Code FFTV For Up to 70% Off!
The Tenpenny Files – Adam Finnegan explores chronic Lyme disease, immune tolerance, persistent infection, and the hidden history of biological warfare. Drawing from personal illness, military archives, scientific research, and Operation Paperclip, he questions whether a tick bite tells the whole story behind years of debilitating symptoms and medical uncertainty for countless patients worldwide...
Description: The latest developments in the fatal ICE shooting in Maine raise even more questions, as the agent's ex-wife and former girlfriend come forward with troubling allegations about his past. We break down what they've said, what's been confirmed, and how the investigation is unfolding. Then we dive into Donald Trump's latest speech, where his rhetoric reached new heights with renewed efforts to cast doubt on future elections and lay the groundwork for challenging the upcoming midterms. We unpack the claims, the political strategy behind them, and the growing concern over what comes next. Plus, the administration's newest proposal to expand the definition of domestic terrorism by targeting left-wing extremism is already igniting fierce debate over civil liberties, selective enforcement, and the future of political dissent. All that and more on this afternoon edition of Rush Hour. Stay informed, stay skeptical, and let's get into it.
What do World Cup taxes, AI-built accounting tools, and remote work have in common? In this episode, Blake and David unpack how tax rules hit global athletes and sports bettors, why Xero's new AI products signal a shift toward accountants building their own software, and where firms still face risk with audit standards, cybersecurity, and homegrown apps. You'll also hear what's really happening with remote work and a listener correction on Trump accounts.SponsorsCanopy - http://accountingpodcast.promo/canopyOnPay - http://accountingpodcast.promo/onpayThe Value Builder System - http://accountingpodcast.promo/valueCloud Accountant Staffing - http://accountingpodcast.promo/casChapters(00:00) - Cold Open and Welcome (00:27) - World Cup Chat Setup (04:04) - World Cup Player Taxes (06:58) - Betting and Prediction Taxes (09:47) - Xerocon London Highlights (12:58) - Xero Ultra Midmarket Push (15:31) - Xero Force Agent Builder (20:56) - More Xero Updates (23:22) - App News Canopy Close (26:13) - TaxDome Kiosk In Person (27:34) - Rippling Banking Payroll (29:37) - Exit Readiness Pitch (30:30) - AI Audits Need Rules (32:40) - QC 1000 Rollbacks (35:58) - CBIZ Activist Pressure (39:04) - Vibe Coding Boom (40:41) - DIY Tools Hidden Risks (48:05) - WISP Versus Security (48:57) - Remote Work Reality (50:13) - AI Usage Cost Chaos (54:13) - Trump Accounts Correction (58:23) - AI Handles CPE Reporting (01:01:13) - CPE Plug And Farewell Show NotesWorld Cup players face tax penaltieshttps://www.accountingtoday.com/news/world-cup-players-face-tax-penaltiesHow Much Will World Cup Players Pay in Taxes? In 2026, FIFA is the Real Winnerhttps://www.cpapracticeadvisor.com/2026/07/06/fifa-is-the-real-winner-of-the-2026-world-cup/186247/World Cup Betting Tax Rules Differ for Prediction Markets, Sportsbookshttps://www.bloomberg.com/news/articles/2026-07-12/world-cup-betting-tax-rules-differ-for-prediction-markets-sportsbooksXero CEO on AI, the builder class and Xero at 20https://www.accountingweb.co.uk/tech/tech-pulse/xero-ceo-on-ai-the-builder-class-and-xero-at-20How we're building Xero to scale with growing businesseshttps://blog.xero.com/product-updates/xero-ultra-launch-scaling-businesses/Introducing XeroForce: Your no code custom AI agent builder for financial workflowshttps://blog.xero.com/news-events/introducing-xeroforce-ai-agent-builder/Paying your bills just got cheaper: Standard ACH is now free in Xerohttps://blog.xero.com/product-updates/paying-your-bills-just-got-cheaper-standard-ach-is-now-free-in-xero/Xerocon London 2026: The Agentic Era Has Arrived for Small Business Financehttps://blog.xero.com/product-updates/xerocon-london-2026-agentic-era-small-business-finance/TaxDome Launches Kiosk: The In-Person Client Experience, Now Digitally Integratedhttps://www.cpapracticeadvisor.com/2026/06/09/taxdome-launches-kiosk-the-in-person-client-experience-now-digitally-integrated/184868/Rippling Launches Business Bankinghttps://www.cpapracticeadvisor.com/2026/06/23/rippling-launches-business-banking/185574/MindBridge urges clearer PCAOB guidance on AI auditshttps://itbrief.co.uk/story/mindbridge-urges-clearer-pcaob-guidance-on-ai-auditsPCAOB Issues Proposed Amendments to QC 1000 and Seeks Public Commenthttps://pcaobus.org/news-events/news-releases/news-release-detail/pcaob-issues-proposed-amendments-to-qc-1000-and-seeks-public-commentRestarting the M&A Flywheel — CBIZ, Inc.https://cbizflywheel.com/Starbucks starts vibe coding enterprise stackhttps://www.semafor.com/article/07/09/2026/starbucks-starts-vibe-coding-enterprise-stackSoftware vendors aren't losing sleep over vibe-coding — yethttps://www.accountingtoday.com/news/software-vendors-arent-losing-sleep-over-vibe-coding-yetMost accounting firms can be impersonated by email – we checked 275 of themhttps://www.accountantsdaily.com.au/business/22638-most-accounting-firms-can-be-impersonated-by-email-we-checked-275-of-themDespite return-to-office crackdowns, remote work is alive and well as the rate has barely changed over the last two yearshttps://fortune.com/2026/07/05/remote-work-data-shows-hybrid-and-flexible-work-arrangements-are-here-to-stay-census-data/AI bills are baffling the C-suite after shift to usage-based pricinghttps://www.theregister.com/ai-and-ml/2026/07/03/ai-bills-are-baffling-the-c-suite-after-shift-to-usage-based-pricing/5266383Need 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 @Dav...
SaaStr 869: The Agents #010: How Agents Will Steal Your Customers. Plus: The $10K App Our Agent Replaced in an Hour and the $14 Migration. Agents aren't just automating your work. They're about to start stealing your customers. In this episode, we get into what happens when agents can migrate a customer off your platform for $14 and replace a $10,000 app in an hour - and what that means for how you build, sell, and retain in the age of AI. Plus, Jason goes hands-on as AI VP of Product, using Claude MCP into Replit to ship real features. And we talk about something nobody wants to admit: agent burnout is real. You'll learn: Why the $14 Marketo migration is a wake-up call for every SaaS vendor How a HeySummit customer's $10K app got replaced by an agent - without anyone asking it to What it actually looks like to use Claude as your AI VP of Product in Replit Why agents are creating a new kind of burnout, and what to do about it
A few weeks back, we talked with Jamf about identifying hallmarks of AI Use on device. However, on-device AI use is only part of the story these days. We welcome back Joel Rennich from JumpCloud to talk about what agent identity looks like in July of 2026. Hosts: Tom Bridge - @tbridge@theinternet.social Marcus Ransom - @marcusransom Selina Ali - LinkedIn Guests: Joel Rennich - LinkedIn Matt Slocum - LinkedIn Links: https://www.ietf.org/archive/id/draft-klrc-aiagent-auth-00.html https://datatracker.ietf.org/wg/wimse/documents/ https://spiffe.io/ https://github.com/spiffe/spiffe https://oauth.net/2/dpop/ RFC-8693 https://datatracker.ietf.org/doc/html/rfc8693 https://www.rfc-editor.org/rfc/rfc8693.html https://www.theguardian.com/australia-news/2026/jul/10/2006-throwback-took-down-telstra-national-phone-networ https://www.slate.auto/en Sponsors: Iru Fleet Device Management Workbrew Watchman Monitoring If you're interested in sponsoring the Mac Admins Podcast, please email podcast@macadmins.org for more information. Get the latest about the Mac Admins Podcast, follow us on Twitter! We're @MacAdmPodcast! The Mac Admins Podcast has launched a Patreon Campaign! Our named patrons this month include Weldon Dodd, Damien Barrett, Justin Holt, Chad Swarthout, William Smith, Stephen Weinstein, Seb Nash, Dan McLaughlin, Joe Sfarra, Nate Cinal, Jon Brown, Dan Barker, Tim Perfitt, Ashley MacKinlay, Tobias Linder Philippe Daoust, AJ Potrebka, Adam Burg, & Hamlin Krewson
Neuron Live is back and we are going deep on Microsoft's big move in AI agents.
Could your cryptocurrency disappear overnight — and if it did, would anyone be responsible? As digital assets become more mainstream, so do the scams, security failures, and legal questions surrounding them… In this episode of The Agent of Wealth Podcast, host Marc Bautis is joined by Courtney M. Werning, Principal at Meyer Wilson Werning and leader of the firm's cryptocurrency litigation practice. Courtney has spent more than a decade helping investors recover losses caused by financial institutions, securities fraud, and cryptocurrency-related misconduct. Together, they explore the hidden risks of crypto investing, the rise of increasingly sophisticated scams, and what investors should know if their digital assets are compromised.In this episode, you will learn:Why many crypto losses aren't simply the result of market volatility — and when investors may have legal options.The most common cryptocurrency scams, including social engineering attacks, account takeovers, phishing schemes, and recovery scams.Why Gen Z is being targeted by scammers more frequently than any other generation, despite growing up in a digital-first world.Practical steps investors can take to better protect themselves from fraud, AI-powered scams, and cybersecurity threats.And more!Resources:Episode Transcript & Blog | meyerwilson.com | Bautis Financial: 8 Hillside Ave, Suite LL1 Montclair, New Jersey 07042 (862) 205-5000 | Schedule an Introductory CallWant to be a guest on The Agent of Wealth? Send Marc Bautis a message on PodMatch, here: https://tinyurl.com/mt4z6ywc
Enterprises are running more AI agents than their security teams realize, and attackers only need to be right once. Anand Oswal, EVP of Network Security at Palo Alto Networks, explains how to secure agents across four surfaces: enterprise, SaaS, endpoints, and the browser. With host Michael Krigsman, he covers shadow agent discovery, MCP and browser risks, prompt injection, agent identity, and why a unified platform beats a stack of point products.YOU'LL DISCOVER✅ The four agent surfaces every CISO must secure at once: enterprise, SaaS, endpoints, and the browser✅ Why discovery comes first: you cannot secure agents, models, tools, and plugins you cannot see✅ The Palo Alto Networks finding that one third of public MCP servers carry takeover level vulnerabilities✅ How vibe coding agents demand privileged access to local files, terminals, and cloud credentials✅ How browser agents inherit your session and cookies and can perform identity impersonation✅ Runtime threats to know: prompt injection, memory poisoning, tool misuse, and model DoS✅ How MCP and A2A protocols expand the attack surface, and why a centralized AI gateway anchors identity, runtime, and observability controls✅ The case for zero trust, an AI-driven SOC, and one unified platform over point products, and where Prisma AI fits⏱️ TIMESTAMPS0:00 Introduction0:22 Agent memory poisoning and tool misuse0:59 Discovering shadow agents across four surfaces2:32 Vibe coding agents and MCP risk4:46 Browser agents and session misuse6:20 Runtime threats and prompt injection7:17 Agent-to-agent protocols and attack surface8:04 Agent identity and the control plane9:16 Centralizing control at the AI gateway10:23 Zero trust and an AI-driven SOC11:29 One platform, not point productsSubscribe for weekly conversations with the business and technology leaders shaping the enterprise. Get the CXOTalk newsletter: https://newsletter.cxotalk.com Show notes, transcript, and summary: https://www.cxotalk.com/episode/palo-alto-networks-evp-securing-ai-agents-in-the-enterpriseEpisode 924#CXOTalk #EnterpriseAI #CIO #AIGovernance #AgenticAI #IBM #DigitalTransformation #AIStrategy #AILeadership
What does serving wine at a nightclub have to do with selling $20 million homes?More than you might think.On this episode of RWorld Talk, Chris Krzemien sits down with Jason Sims, one of the founders of Serhant Miami, to discuss how an unconventional career path in hospitality helped shape a successful career in luxury real estate.Jason shares how 15 years in wine, spirits, and hospitality taught him the skills that matter most when working with high-level clients, from understanding emotions and expectations to creating an experience that goes far beyond the transaction.We discussed:➡️ Why the emotional difference between a $1 million buyer and a $20 million buyer➡️ How Jason went from reading Sell It Like Serhant on his honeymoon to joining the team➡️ How to win relocation buyers by selling a lifestyle and not just a house➡️ Why every client gets the same level of service regardless of price point➡️ The $200,000 check mistake he wishes he could take back➡️ What the Serhant culture actually looks like from the inside➡️ Why you cannot do real estate part-time and what happens when you tryIf you have ever thought about moving into luxury real estate or building a referral-based business from a nontraditional background, this is the episode for you.Chapters:00:00 Welcome00:39 Hospitality to Real Estate02:23 Selling Ultra Luxury04:06 Referrals and Social Media08:14 Joining Serhant Miami13:02 Relocation Buyer Playbook14:57 Area Atlas Lifestyle Map16:18 Relocation Priorities Traffic17:35 Florida Lifestyle Activities18:30 Key Biscayne Cycling Scene19:27 Discipline Preparation Mindset26:56 Invest In Yourself Advice28:46 Wrap UpFOLLOW US:Instagram: @rworldtalkLinkedIn: @rworldtalkpodcastWebsite: https://rworld.com/LISTEN ON AUDIO:Spotify: https://open.spotify.com/show/6TFUYs7cTWw539wUD7aLkE?si=79cdc73ede2f4828Apple: https://podcasts.apple.com/us/podcast/rworld-talk-south-florida-real-estate/id1671206655#RealEstate #SouthFlorida #Realtor #Luxury #LuxuryRealEstate #Mindset #Highperformance #RyanSerhant #SerhantMiami #Relocation #Hospitality #Cycling
Watch the full episode with Debra Silverman here: https://youtu.be/zITYuor_hMISupport this show http://supporter.acast.com/inspiredevolution. Hosted on Acast. See acast.com/privacy for more information.
In this episode of the AI Agent & Copilot Podcast, John Siefert, Founder and CEO of Cloud Wars, is joined by Cedric Wells, IT leader and former Senior Manager of Infrastructure and Operations at Gorilla Glue. Together, they explore how AI is reshaping IT leadership, software development, governance, and enterprise transformation. Wells shares why continuous learning, balancing strategic vision with execution, and maintaining strong security and data governance will define successful organizations in the AI Era. Their conversation also reflects many of the leadership themes that attendees explored at the 2026 AI Agent & Copilot Summit NA. Key Takeaways Growth mindset is becoming the most valuable IT skill. Wells believes technical expertise alone is no longer enough. The speed of AI innovation requires professionals at every level to continuously refresh their knowledge and remain adaptable. He explains that technologies evolve so rapidly that learning has become a permanent responsibility rather than a periodic exercise. As Wells notes, "Having a mindset that's really around learning as much as I can as things are changing" is essential. He also reminds listeners, "It's changing so fast," making curiosity and adaptability foundational qualities for future IT leaders. AI enhances leadership — but doesn't replace technical understanding. Wells argues that AI is helping close the gap between technical specialists and business leaders, allowing executives to understand complex technologies more quickly. However, leaders still need enough technical context to ask intelligent questions and make informed decisions. As he explains, "Being able to really as a leader leverage AI as much as possible" creates significant advantages. He also emphasizes that "bridging that gap with your leadership skills and leveraging AI on the technical side" will define successful IT leadership moving forward. Governance and security are becoming even more important. Throughout the conversation, Wells repeatedly emphasizes that AI initiatives require close collaboration between infrastructure, information security, governance, and data teams. Without proper oversight, organizations risk exposing sensitive information, creating compliance issues, or building unreliable AI systems. Wells reminds listeners that "It's very important to make sure that those two departments are aligned" and warns that "Employees are doing it whether or not you like it," making proactive governance and secure enablement far more effective than restrictive policies alone. Visit Cloud Wars for more.
In today's Cloud Wars Minute, I look at why Salesforce's new Help Agent represents a major shift toward performance-based enterprise AI. Highlights 00:03 — Salesforce is launching the Agentforce Help Agent, a pre-built AI customer service agent that customers can deploy in a matter of minutes. It's designed as an alternative to custom-built agents, connecting to existing Salesforce knowledge articles and support content, which means only minimal configuration is required. 00:23 — I'm going to walk you through the features of this new agent before getting to the part I'm most excited about, and I think you will be too. The agent was built on the Agentforce platform and uses the Salesforce Data Cloud and CRM data for context, incorporating the responsible use and governance policies there too. 00:43 — It delivers enterprise-grade customer support by answering customer questions, troubleshooting issues, escalating complex cases to a human support agent. Salesforce validated the agent internally before the launch, and the company has reported that its own Help Agent handled 4.3 million customer conversations and resolved around 70% of inquiries autonomously, really showcasing its effectiveness. 01:16 — Here's the kicker: the new Help Agent operates on a resolution-based pricing model. This means that customers are only charged when the agent successfully resolves a customer's issue. There's no charge if the conversation is handed off to a human agent before resolution, and this approach is quite groundbreaking. In many ways, Salesforce is testing a new pricing model for enterprise AI. 01:50 — From an AI in the workplace perspective, this agent operates on a performance-based pricing scenario, similar to how a gig worker is paid for successful tasks completed, right? So, Salesforce is not the first company to use outcome-based pricing for software, but bringing it to Agentforce and pushing it further into enterprise AI is remarkable stuff and a great step forward from Salesforce. Visit Cloud Wars for more.
Tony Holdstock-Brown is the co-founder and CEO of Inngest, the durable execution platform that quietly powers your favorite AI agents.We get into why agents work in a demo and die in production, building their own cloud to get 20x lower cost, growing 35x after AWS and Cloudflare copied them, growing a dev tools company without a personal brand or Twitter account, why he thinks evals today are like “asking the criminal if they committed the crime”, and the thing they built to score 100% of your production agents without paying for LLM as a judge.Thank you to Numeral, Flex, Amplitude, Merge, and Monaco for supporting this episode.Numeral: Sales tax on autopilot https://www.numeral.comFlex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapitalAmplitude: AI analytics https://www.amplitude.comMerge: Every model, one API https://www.merge.dev/turnerMonaco: The revenue engine for startups https://www.monaco.com/Timestamps:(0:00) The hidden infra layer every AI agent runs on(1:46) Building complex chains of logic(3:31) Why agent SDK's don't go far enough(4:49) Healthcare was the original event-driven nightmare(6:32) Storing traces on your infrastructure enables self-improving loops(14:26) Why Inngest was already in the right place for AI(15:49) Score agents off product events, not LLM's(17:31) The OpenAI copy-paste signal(21:24) Swap in LLMs and cut costs 20x(23:44) How customers pulled the product forward(25:41) Orchestration belongs outside the sandbox(29:48) Building a neocloud to cut costs 20x(32:09) Most neoclouds just resell AWS(32:54) All AI infrastructure is converging(34:49) Why Claude can't just build your backend(36:44) How to build a software factory(39:12) Agents are a lottery you get addicted to(42:44) Loops must exist until AGI hits(45:38) If models keep getting better, why orchestrate?(48:28) When incumbents steal your features(52:30) Why you can't vibe code infrastructure(55:54) Why Tony has no personal brand(59:38) Dev tools GTM without Twitter(1:03:20) Lessons from the founder of DuckDuckGo(1:10:39) Truth as a company value(1:13:08) Taking too long adapting to AI(1:15:10) Startups are 100% R&D(1:17:19) Ali from Databricks(1:19:03) Writing his own code, Voice-to-text with local models(1:23:53) Evals are batshit insaneReferencedInngest: https://www.inngest.com/Principles by Ray Dalio: https://www.amazon.com/dp/1501124021?lv=shuf&channelId=500&plpRedirect=mhFallbackTraction - How Any Startup Can Achieve Explosive Customer Growth: https://www.amazon.com/dp/1591848369?lv=shuf&channelId=500&plpRedirect=mhFallbackFollow TonyTwitter: https://x.com/itstonyhbLinkedIn: https://www.linkedin.com/in/tonyhb/Follow 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/
This Day in Maine for Friday, July 17th, 2026.
We'd love to have your feedback and ideas for future episodes of Retail Unwrapped. Just text us!Growing dependence on AI has revealed how risk and trust are influencing customer shopping behavior. Join Shelley and Shiv Gupta, Chief Analytics and Solutions Officer at Volute Group, as they explore how AI is used as a confessional when consumers trust agents more than websites, data collectors, and even other humans. They also discuss why unprompted data is a rich information mining opportunity for retailers, plus how to use AI to determine a customer's lifetime value, intent and probability of purchasing decisions, and how to leverage branding with unemotional, impartial AI feedback. Shiva believes, “Niche retailers are going to do a whole lot better than they've ever done before because they can define the product, audience, and service with a lot more clarity because they don't have a large spread of assortment.” Find out why what you say about your brand and your product may be less influential than what others are saying. As Shiv says, “The misconception is that if you speak louder, you'll be heard better; but you need to speak smarter.” Special Guest: Shiv Gupta, Chief Analytics & Solutions Officer, Volute Group. For more strategic insights and compelling content, visit TheRobinReport.com, where you can read, watch, and listen to content from Robin Lewis and other retail industry experts, and be sure to follow us on LinkedIn and Twitter.
Every capability in an agent needs its own evidence and release bar. A model-provider slip, an incorrect tool call, and a wrong fertility-benefits answer should not be held to the same pass rate.William Horton, Staff AI Engineer at Maven Clinic, joined us the day after Maven Assistant reached its first external users. The agent helps members inside Maven Clinic's women's and family healthcare platform find providers, manage appointments, navigate Maven, and get basic health information. William had spent much of launch day reading chat traces and turning the surprises into product decisions and tests.William shows how a production failure moves through Maven's system: the trace becomes a regression case, code handles deterministic checks, and LLM judges cover behavior that cannot be reduced to exact outputs. Human labels calibrate those judges, while the consequence of a wrong answer determines whether the capability ships. You can apply the same release workflow to the agent you are building now.“For a lot of our tool-call evaluation, I'll accept that it runs ten times and passes nine times. Going for that ten out of ten is just not worth the effort.”— William Horton, Staff AI Engineer, Maven ClinicYou can also find the full episode on Spotify, Apple Podcasts, and YouTube.
Следващото Ratio събитие: Фантастични животни и къде да ги намерим - https://ratio.bg/events/fantastic-beasts/ В този епизод Кив разговаря с Милен Колев – embedded software инженер с над 7 години опит в разработката на системи, работещи близо до хардуера – от микроконтролери и real-time операционни системи до контролни алгоритми и автономни превозни средства. В момента Милен е част от екипа на проф. Stephanie Wehner в Техническия университет в Делфт, където работи като програмист на вградени (embedded) устройства за квантови мрежи. Точно квантовите мрежи са и темата на днешния епизод. С Милен се опитваме на разбираем език да говорим за квантовите феномени, които използваме за комуникация, с какво тази комуникация ни е полезна на практика и изобщо „комуникация“ ли е това. В дискусията ще научите какво мислим, че е възможно, какво вече сме постигнали и защо Европа е сред световните лидери в тази критично важна технология. Споменато в епизода: https://quantuminternetalliance.org Партньори: Grapwise.ai И Данни за добро За подкаста: „Агент 001“ изследва пресечните точки на технологиите и обществото, на дигиталното и реалното, на нещата и данните за тях. Това е една от шестте серии на Ratio Podcast – подкаст за любопитни хора. С негова помощ ще навлезете в света на Изкуствения интелект и технологиите и ще чуете неформални разговори с интересни събеседници, свързани или вдъхновени от науката и AI. Автор на музиката на подкаста е Мишо - http://www.mihailivanovbass.com/
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In this episode, we explore the rapidly changing role of artificial intelligence in the tax and accounting profession. What began as simple AI-generated emails and content creation is quickly evolving into agent-based systems capable of performing real work across firm workflows.Drawing on conversations from industry events and firsthand experiences with firms and clients, we discuss why many believe we're at a major inflection point for AI adoption. Topics include the rise of AI agents, client expectations, the challenges of establishing a reliable "source of truth," and the growing need for governance, testing, and validation as firms automate sensitive processes.The discussion also tackles one of the profession's biggest questions: How do firms preserve professional judgment and develop future talent when more routine work is handled by AI? From structured versus unstructured data to workflow transformation and client service, this episode examines where AI is delivering value today—and where human expertise remains essential.Key topics include:The transition from AI experimentation to AI-powered workflowsWhy agentic AI could transform tax and advisory servicesRisks of overtrusting AI-generated outputsData security, governance, and quality control concernsThe role of professional judgment in an AI-enabled futureHow firms can balance automation with client relationshipsWhat tax season 2027 could look like as AI adoption acceleratesThis conversation offers a practical look at the opportunities, challenges, and realities facing firms as AI moves from novelty to necessity.
In this episode of Elixir Wizards, Charles Suggs and Emma Whamond are joined by Zach Daniel, creator of the Ash Framework and Igniter, VP of Engineering at Remedy Meds, and upcoming ElixirConf keynote speaker, to talk about what sits between an LLM and useful engineering work. Zach reflects on how much has changed since his last appearance on the podcast in October 2024, moving from Igniter, code generation, and project patching into AI agents, context layers, and custom engineering workflows. The conversation explores how deterministic tools and probabilistic LLMs can work together, and why the most useful AI systems often depend on the structure built around the model. We also discuss why teams should be careful about outsourcing the systems that hold their organizational knowledge and decision-making. He shares his perspective on owning the AI stack, building internal knowledge systems, training junior developers in an AI-augmented world, avoiding vendor lock-in, and why Elixir may be especially well-suited for safer agentic workflows. Zach will be a keynote speaker at ElixirConf 2026, September 10–11 in Chicago, and the Elixir Wizards will be there too! Join us and the broader Elixir community, and use promo code Elixirwizards for 10% off in-person or virtual tickets at https://elixirconf.com/ Key topics discussed in this episode: Zach Daniel's work with Ash, Igniter, and AI tooling How software development has changed since 2024 Deterministic code generation vs. LLM-generated code Combining structured tools with AI agents What it means to own your AI stack Organizational knowledge as an engineering “spinal column” Context layers, documentation, and internal workflows Building custom agentic systems Security, vendor lock-in, and open source LLMs Junior developers and apprenticeship in the AI era Why Elixir and the BEAM fit agentic workflows Links mentioned: Ash Framework https://ash-hq.org/ Igniter https://igniter.hexdocs.pm/ Phoenix Framework https://www.phoenixframework.org/ Remedy Meds https://remedymeds.com/ Keynote: Code Generators are Dead. Long Live Code Generators - Chris McCord | ElixirConf EU 2025 https://www.youtube.com/watch?v=ojL_VHc4gLk https://phoenix.hexdocs.pm/Mix.Tasks.Phx.Gen.Live.html LSP https://en.wikipedia.org/wiki/Language_Server_Protocol Claude Code https://claude.com/product/claude-code GitHub Actions https://github.com/features/actions Harness Engineering https://en.wikipedia.org/wiki/Agent_harness Claude SDK https://code.claude.com/docs/en/agent-sdk/overview Zach's Twitter https://x.com/ZachSDaniel1 ElixirConf https://elixirconf.com/ AshConf https://luma.com/wz4z0iz6 Goatmire https://goatmire.com/Special Guest: Zach Daniel.
Every real estate agent seems to have an award. So how do you work out who's actually the best person to sell your home?In this episode, Ed and Andrew unpack what real estate awards really measure, why so many agents can call themselves "award-winning", and the simple checks that matter far more than a trophy. You'll learn:The truth behind real estate agent awards How so many agents end up with an award, and what those awards actually measure A simple checklist to choose the right agent, looking past the trophies The interesting part? The best agent for your home isn't necessarily the one with the most awards. Book a meeting with Opes Partners to start your path to financial freedom with a detailed financial plan for $0.For more from Opes Partners:Sign up for the weekly Private Property newsletterInstagramTikTok
Tim Pool breaks down Democrat rep Seth Moulton calling on people to obstruct federal law enforcement BUY CAST BREW COFFEE TO FIGHT BACK - https://castbrew.com/ Join The Discord Server - https://timcast.com/join-us/Live Show - https://youtube.com/timcastirl News - http://youtube.com/timcastnews Daily Show - http://youtube.com/timcast X - https://x.com/Timcast Insta - http://instagram.com/timcast
Why humans won't shop alone anymore. Raja Rajamannar, Senior Fellow at Mastercard, joins CoinDesk's Sam Ewen for a conversation that is equal parts blockchain brand masterclass and roadmap for what marketing looks like when agents start making the decisions. Raja makes the case that agentic commerce doesn't simplify the marketer's job, it doubles it because now you have to win over the human and their agent, and the criteria for each are completely different. - Timecodes: 0:00 – Rethinking sales: humans vs. AI agents 2:17 – Crypto's branding problem 5:47 – Preserving value and remittances as use cases 7:53 – Cash to credit cards: an early parallel to crypto 14:31 – Money, emotion, and the Mastercard brand journey 17:48 – Experiential marketing over traditional ads 19:00 – Mastercard-flavored macarons and sensory branding 20:17 – The rise of agentic commerce 24:38 – Marketing to both humans and their AI agents 29:20 – Building empathy into AI transactions - This episode is brought to you by RealFi, a smarter stablecoin, backed by real-world assets. Find out more at realfi.co. - Ledn provides a secure and transparent way to access liquidity while maintaining your bitcoin holdings. Perfect 8 year track record of keeping clients assets safe. Don't sell your bitcoin. Get a bitcoin-backed loan. Check out your rate by using their loan calculator at ledn.io - JPEG Trading is a global proprietary trading firm specializing in cryptocurrency and decentralized finance markets. From market structure and liquidity provision to quantitative trading strategies, JPEG Trading operates across the full spectrum of blockchain-based assets. Follow @jpegtrading on X to stay ahead of the latest developments in digital asset markets: https://x.com/jpegtrading - "Spotlight" features host Sam Ewen.
Every hype cycle has a sales guy. Crypto had them. AI agents have them now, and most of what's being sold as an "agent" is old automation with a new label. It's called agent washing, and Gartner projects 40%+ of agentic AI projects will be cancelled by 2027.So how do you tell the real thing from a fresh coat of paint? And even if it is real, do you actually need a complex agent for what you're looking to achieve?Host Erick Espinosa sits down with Mariano Jurich, Senior Product Leader at Making Sense, who helps mid-market and PE-backed companies separate real AI value from plausible noise, and who tells clients, more often than you'd expect, that the boring workflow automation is the better buy.Inside this episode:The four traits that define a real AI agentThe "if-then-do" test that exposes a washed agent in one sentenceWhy "agentic" is overkill for most problems companies bring himWhy agentic AI breaks when you treat it like a cloud migrationWhat to put in writing before you signFind out more about Mariano Jurich here.Learn more about Making Sense here.Reach out to today's host, Erick Espinosa - erick@sociable.coGet the latest on tech news - https://sociable.co/ Leave an iTunes review - https://rb.gy/ampk26Follow us on your favourite podcast platform - https://link.chtbl.com/rN3x4ecY
Today Eightfold launched its AI Candidate Agent, so I wanted to explain how the multi-agent world of HR 2030 is coming together. In this podcast I explain what Eightfold is up to and how multi-agent AI systems are now starting to sweep across talent acquisition, particularly in high-volume recruiting. And it's more complex, interesting, and valuable than you may think. This article explains the market and business case in more detail, and we encourage you to read about HR 2030 to see where this exciting world is going. Additional Information The Talent Acquisition Revolution: How AI is Transforming Recruiting Interview with Ashutosh Garg, Co-Founder & CEO of Eightfold.ai and Viven.ai HR 2030, The Josh Bersin Institute, And Galileo Chapters (00:00:00) - Interviewing With the Candidate Agent(00:01:46) - Is the Candidate Agent Also an Internal Candidate Agent?(00:09:17) - HR in 2030: The Super Agent(00:20:19) - AI in Talent Acquisition: Announcement
Profitant de sa grande popularité, Joséphine Baker, pendant la Seconde Guerre mondiale, n'aura cessé de renseigner les uns, de remonter le moral des autres.Retour sur le rôle inattendu de Joséphine Baker pendant la Seconde Guerre mondiale !
While LLMs and agents are new to appsec and everyone else, a lot of AI security requirements translate to well-known API security requirements. Jeremy Snyder helps us frame the OWASP LLM Top 10 into five layers in order to help orgs understand and prioritize their attack surface. A lot of orgs don't have to deal with model-specific threats or building their own GPU architecture, but every org adopting LLMs and agents should be aware of how those agents are being invoked and the output those agents are producing. That awareness of input and output helps in identifying and mitigating prompt injection attacks, ensuring agents are working within their expected boundaries, and taming token budgets. Resources: https://genai.owasp.org/llm-top-10/ https://github.com/rtk-ai/rtk https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.html https://www.firetail.ai/blog/beyond-the-spectacle-rsac-2026-and-the-5-layers-of-ai-security Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-391
Right on schedule for America's 250th birthday, we've wrapped our arc on Benedict Arnold - the American military officer who turned his back on his own country to spy for the British Army. Tucked away within this complex story, lives the unsolved identity (identities?) of Agent 355. The female spy who helped her country by gleaning military secrets from the British. In this episode, Charlie Higson explores just who this woman (or women) might have been, with ‘355: The Women of Washington's Spy Ring' author, Kit Sergeant. Together, they break down this remarkable tale of betrayal and deception… all in the name of freedom.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
The freight market changes fast, but a lot of broker operations still look the same: endless check calls, status emails, manual appointment scheduling, missing PODs, and a nonstop flood of “where's my order” messages. We sat down live with Jett McCandless, founder and CEO of Project44, to make a major announcement and dig into the why behind it: LSP44 is launching as a dedicated business built specifically for logistics service providers, including 3PLs, freight brokers, and freight forwarders. We talk through the history that led here, from Project44's early LSP roots to the hard lessons of selling into shippers with entrenched EDI teams and slow enterprise change management. Jett shares what changed when capital stopped being “free,” how prioritization decisions damaged LSP relationships, and how product reliability helped drive a dramatic NPS turnaround. The big takeaway: LSPs buy and use technology differently because their product is the service, and they need infrastructure that plugs into their operating system and scales without adding overhead. Then we get tactical on logistics AI. Where do AI agents belong in the workflow, and where are they just an expensive band-aid? Jett breaks down the API-first approach, the gaps agents should fill, and the orchestration layer that constantly tests vendors, routes tasks to the best performer, and delivers outcomes without forcing customers to manage a fragmented tech stack. We also dig into trust, data rights, and why “cool demos” are getting replaced by brutal ROI questions across the industry. If you care about freight visibility, AI automation, TMS strategy, and what the next decade looks like for domestic brokers versus global forwarders, this one goes deep. Subscribe, share with a broker operator who's tired of vendor sprawl, and leave a review with the one freight task you'd automate first.Thanks to our sponsors:Cloneops.ai: Not just AI. Industry-born AI.cloneops.aiBitfreighter: Scale Freight. Not Integration Costs. Win More. Accept More.bitfreighter.comTriumph: Accelerate quote-to-cash with AI-powered invoicing, bank-grade carrier payments, and transaction-based market intelligence.triumph.io/morecapacity
The episode highlights a structural shift in cybersecurity risk, moving from a reliance on human skill as both the source of attack and defense to a landscape shaped by autonomous AI agents acting as privileged entities inside client environments. This pivot is illustrated by Sysdig's discovery of an agentic ransomware attack (“Jade Puffer”) where AI software—not a human operator—managed intrusion end-to-end, adapting in real time without manual intervention. The key structural effect is a drastic reduction in the cost and skill required to mount effective attacks, while simultaneously introducing unmanaged access points in the form of AI agents with human-equivalent credentials. Supporting this shift, Sysdig found that the AI-driven “Jade Puffer” attack executed more than 600 payloads, automatically adjusted after failures, and required minimal human oversight. ZDNet reported Apple's unusually rapid patch cycle, attributed by the company to the speed of AI-driven exploit development. According to IT Pro, attackers typically remain inside networks for about two and a half weeks before detection, with nearly half of breaches only discovered after data loss. The U.S. cybersecurity agency CISA admitted to lacking an incident response playbook, improvising during a breach. These developments collectively indicate that existing human-centric security models are being outpaced by autonomous threats. Further reinforcing this thesis, The New Stack emphasized a governance gap: most organizations lack standards for assigning identity or scoping access for AI agents, which today operate using human credentials without effective monitoring or control. AvePoint's research, as cited by Dave Sobel, suggests the number of unseen AI tools inside organizations has nearly tripled, while about half of employees now use AI agents frequently. While agent-based automation expands operational efficiency, the inability to monitor or restrict these agents exposes a widening attack surface and undermines traditional governance. For MSPs and IT service leaders, the operational ramifications include increased accountability for identifying, inventorying, and scoping AI agents as privileged identities within client environments. Continuing to rely on human-centric security and pricing models risks misalignment with actual exposure. The analysis suggests treating AI agent identity management as a distinct, recurring service line—akin to user identity and multifactor authentication—with pricing linked to risk rather than labor hours. Failure to proactively address this governance gap may result in unaccounted incidents and reactive, non-strategic service delivery that affects renewal cycles and liability positions. 00:00 5 Security Alarms Ringing at Once 04:22 Why Hacking No Longer Takes Skill 06:40 Your Agents Became the New Insiders 09:14 Why Do We Care? Supported by: ScalePad
Head over to http://patreon.com/kindafunny this month to grab a membership and receive exclusive content and ad-free episodes! God of War Laufey might've been confirmed for next year, EA responds to backlash about College Football, and Id software plays down the impact of its layoffs. Thank you for the support! Run of Show - 00:00:00 - Start00:08:30 - God of War Laufey studio hints at 2027 release window following tweet that assures players it "will be available on disc"00:34:53 - Ad00:35:53 - EA removes microtransactions from EA Sports College Football 27 following backlash00:41:22 - Id software plays down impact of layoffs, insists it still has enough staff to make ‘games and tech'00:56:18 - Aerial Knight has announced a new game: “Aerial_Knight's MrFreezy”00:58:18 - Agent 64: Spies Never Die launches August 11th00:59:50 - Wee News!01:00:55 - SuperChats & You‘re Wrong Learn more about your ad choices. Visit megaphone.fm/adchoices
From 07/13 Hour 2: Anthony Davis' agent addressed the media and made AD's future with Washington crystal clear.
Talk Python To Me - Python conversations for passionate developers
Coding agents have gotten really good at one kind of work. You scope a feature, edit some files, run the tests, ship it. It all happens on disk. But that is not how data work feels. You load something, you look at it, you run a cell, you watch how it responds, and you decide the next move from whatever is sitting in memory. And until now, your agent couldn't see any of that. It only saw the files. Never the live state. This episode, that wall comes down. marimo pair drops a coding agent right inside a running notebook, with full access to every variable Python is holding in memory. The notebook becomes a shared canvas. You point, it runs the code. You tell it to zoom in on the Picasso paintings, and the chart just updates. No MCP tools to wire up, no schema to describe. Just Python, and an agent that can finally see what you see. Trevor Manz is back to walk us through it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Links from the show marimo pair: marimo.io/pair Course transcripts announcement: talkpython.fm/blog anywidget: Jupyter Widgets made easy: talkpython.fm marimo: marimo.io blog: marimo.io GitHub: github.com given this: martinalderson.com llms.txt: talkpython.fm mcp: talkpython.fm cli: talkpython.fm open issues: github.com Discord: marimo.io Marimo Pair: marimo.io OpenCode: opencode.ai AI Tooling for Software Engineers in 2026: newsletter.pragmaticengineer.com Watch this episode on YouTube: youtube.com Episode #555 deep-dive: talkpython.fm/555 Episode transcripts: talkpython.fm Theme Song: Developer Rap
Tim Pool breaks down the story of an ICE operation in Biddeford, Maine that turned deadly after a 26-year-old Colombian man was shot and killed during a confrontation with federal agents. BUY CAST BREW COFFEE TO SUPPORT THE SHOW - https://castbrew.com/ Become A Member And Protect Our Work at http://www.timcast.com Host: Tim Pool @Timcast (everywhere) | https://www.shoutout.fans/timpool My Second Channel - https://www.youtube.com/timcastnews Podcast Channel - https://www.youtube.com/TimcastIRL For advertising inquiries please email sponsorships@rumble.com