Podcasts about copilot

As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows

"I relate it to one of the Wizard of Oz characters... I've seen behind the curtain. I know how it's all put together."What happens when a man who spent nearly five decades inside every corner of the self-funded industry decides his final act is to give the playbook away?My guest this week is Charlie Gragg, a true first-generation veteran of self-funding. Charlie started in the late 1970s underwriting stop-loss cases on napkins from payphone booths, went on to run his own TPA, and has now semi-retired into a role he believes the industry desperately needs: the fiduciary co-pilot.He won't take your broker of record letter; he doesn't want it. Instead, he partners with brokers, consultants, and C-suite executives to build health plans from scratch, the way an owner would.If you're a broker who knows you have a ceiling on your self-funding expertise, this episode is your permission slip to get help. Tune in.Thank you to our 2026 sponsors!ParetoHealth: ParetoHealth empowers midsize employers with a long-term solution to reduce volatility and lower overall health benefits costs. Visit https://www.paretohealth.com/fully-insured-vs-self-funding-with-paretohealth-spencer-podcast/?utm_source=youtube&utm_medium=referral&utm_campaign=SelfFundedwSpencer to learn more.Samaritan Fund: A program that connects those who need help to the support they need. We are proud to offer the Samaritan Fund Program. Visit SamaritanFundProgram.com to learn more.Vālenz Health: We're Vālenz Health, your partner in improving health literacy, reducing plan spend, and delivering high-value healthcare. Visit ValenzHealth.com to learn more.Imagine360: Imagine360 helps self-funded employers save on healthcare with smarter health plans. Cut expenses by 20-30% with custom solutions. Contact us today at Imagine360.com.Chapters:(00:00:00) Intro: Behind the Curtain of Self-Funding(00:00:55) The Fiduciary Co-Pilot: Why Charlie Won't Take Your BOR(00:02:58) Charlie's Background: First-Generation TPA in the Late '70s(00:04:46) Napkin Underwriting and $2,000 Aggregate Stop-Loss(00:06:18) The Two Sales: Selling the Employer AND the Underwriter(00:07:20) Why the TPA Business Is So Hard to Do Right(00:11:27) The Fiduciary TPA: Accountant of the Health Plan(00:13:32) The 401(k) Parallel: Fiduciary Standards Are Coming for Brokers(00:14:43) Building Custom Plans vs. Buying the Box(00:16:25) Stop Haggling Over Stop-Loss — Solve the Claims Instead(00:18:46) Owning Your Stop-Loss Through a Group Captive(00:21:25) The 3-6 Month Setup: Finding Fiduciary Partners First(00:23:34) The One Question to Ask Every TPA(00:26:07) Why PBMs Need the Fiduciary Standard Too(00:28:01) Eating the Elephant: Meeting Employers Where They Are(00:30:56) Winning Over the C-Suite Before the HR Director(00:34:42) Claims Negotiators, Re-Pricers, and the Lost Art of the Phone Call(00:39:11) Do You Still Need a Carrier Network?(00:41:51) The Quality Anomaly: Why the Best Care Costs Less(00:43:34) DRG Bundles and the $20,000 Burn Unit That Never Was(00:46:52) Wellness, Behavioral Health, and the Loyalty Dividend(00:55:31) Building the Utopian Health Plan: The Blueprint(01:01:03) What's Missing? Belief.(01:04:18) The Future: Adoption in the Mid-Market(01:06:33) Closing Thoughts: The System Won't Fix ItselfKey Links for Social:@SelfFunded on YouTube for video versions of the podcast and much more - https://www.youtube.com/@SelfFundedListen/watch on Spotify - https://open.spotify.com/show/1TjmrMrkIj0qSmlwAIevKA?si=068a389925474f02Listen on Apple Podcasts - https://podcasts.apple.com/us/podcast/self-funded-with-spencer/id1566182286Follow Spencer on LinkedIn - https://www.linkedin.com/in/spencer-smith-self-funded/Follow Spencer on Instagram - https://www.instagram.com/selffundedwithspencer/

"I relate it to one of the Wizard of Oz characters... I've seen behind the curtain. I know how it's all put together."What happens when a man who spent nearly five decades inside every corner of the self-funded industry decides his final act is to give the playbook away?My guest this week is Charlie Gragg, a true first-generation veteran of self-funding. Charlie started in the late 1970s underwriting stop-loss cases on napkins from payphone booths, went on to run his own TPA, and has now semi-retired into a role he believes the industry desperately needs: the fiduciary co-pilot.He won't take your broker of record letter; he doesn't want it. Instead, he partners with brokers, consultants, and C-suite executives to build health plans from scratch, the way an owner would.If you're a broker who knows you have a ceiling on your self-funding expertise, this episode is your permission slip to get help. Tune in.Thank you to our 2026 sponsors!ParetoHealth: ParetoHealth empowers midsize employers with a long-term solution to reduce volatility and lower overall health benefits costs. Visit https://www.paretohealth.com/fully-insured-vs-self-funding-with-paretohealth-spencer-podcast/?utm_source=youtube&utm_medium=referral&utm_campaign=SelfFundedwSpencer to learn more.Samaritan Fund: A program that connects those who need help to the support they need. We are proud to offer the Samaritan Fund Program. Visit SamaritanFundProgram.com to learn more.Vālenz Health: We're Vālenz Health, your partner in improving health literacy, reducing plan spend, and delivering high-value healthcare. Visit ValenzHealth.com to learn more.Imagine360: Imagine360 helps self-funded employers save on healthcare with smarter health plans. Cut expenses by 20-30% with custom solutions. Contact us today at Imagine360.com.Chapters:(00:00:00) Intro: Behind the Curtain of Self-Funding(00:00:55) The Fiduciary Co-Pilot: Why Charlie Won't Take Your BOR(00:02:58) Charlie's Background: First-Generation TPA in the Late '70s(00:04:46) Napkin Underwriting and $2,000 Aggregate Stop-Loss(00:06:18) The Two Sales: Selling the Employer AND the Underwriter(00:07:20) Why the TPA Business Is So Hard to Do Right(00:11:27) The Fiduciary TPA: Accountant of the Health Plan(00:13:32) The 401(k) Parallel: Fiduciary Standards Are Coming for Brokers(00:14:43) Building Custom Plans vs. Buying the Box(00:16:25) Stop Haggling Over Stop-Loss — Solve the Claims Instead(00:18:46) Owning Your Stop-Loss Through a Group Captive(00:21:25) The 3-6 Month Setup: Finding Fiduciary Partners First(00:23:34) The One Question to Ask Every TPA(00:26:07) Why PBMs Need the Fiduciary Standard Too(00:28:01) Eating the Elephant: Meeting Employers Where They Are(00:30:56) Winning Over the C-Suite Before the HR Director(00:34:42) Claims Negotiators, Re-Pricers, and the Lost Art of the Phone Call(00:39:11) Do You Still Need a Carrier Network?(00:41:51) The Quality Anomaly: Why the Best Care Costs Less(00:43:34) DRG Bundles and the $20,000 Burn Unit That Never Was(00:46:52) Wellness, Behavioral Health, and the Loyalty Dividend(00:55:31) Building the Utopian Health Plan: The Blueprint(01:01:03) What's Missing? Belief.(01:04:18) The Future: Adoption in the Mid-Market(01:06:33) Closing Thoughts: The System Won't Fix ItselfKey Links for Social:@SelfFunded on YouTube for video versions of the podcast and much more - https://www.youtube.com/@SelfFundedListen/watch on Spotify - https://open.spotify.com/show/1TjmrMrkIj0qSmlwAIevKA?si=068a389925474f02Listen on Apple Podcasts - https://podcasts.apple.com/us/podcast/self-funded-with-spencer/id1566182286Follow Spencer on LinkedIn - https://www.linkedin.com/in/spencer-smith-self-funded/Follow Spencer on Instagram - https://www.instagram.com/selffundedwithspencer/

Most MSPs can already tell you which of their clients' Microsoft 365 environments are misconfigured. The harder question is why so few get fixed — and what it takes to turn security visibility into security operations at scale. Dave sits down with Nick Ross, CEO of Cloud Capsule and a three-time Microsoft MVP, to talk about the operational gap MSPs can't close with assessment tools alone, and how his team is trying to close the distance between finding problems and remediating them across dozens of client tenants at once. Nick launched Cloud Capsule's Manage tier in May to move partners beyond assessment into remediation. He argues the biggest challenge in M365 security isn't visibility — it's execution: the knowledge gap around how to architect a policy, plus the manual hours to deploy it one tenant at a time. He walks through how the platform templatizes baselines, enforces desired state configuration so controls can't be quietly tampered with, and gives technicians the context to know whether flipping a control from red to green will flood the help desk with tickets. The conversation also digs into the harder business questions: whether pushing security work down to junior techs lowers the skill floor and introduces risk, how to prioritize 250+ controls without drowning in red, and the economic reality that many MSPs already know clients are misconfigured but can't get them to pay for the fix. Nick's answer leans on newer levers — the AI-readiness conversation, Copilot data governance, and cyber insurance renewals — to reframe security as table stakes rather than a hard sell. Supported by: Guardz  

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Microsoft Copilot wird derzeit in vielen Unternehmen eingeführt. Die Erwartungen sind groß: mehr Produktivität, schnellere Prozesse und weniger Routineaufgaben. Doch in der Praxis zeigt sich häufig ein anderes Bild. Nach anfänglicher Begeisterung nimmt die Nutzung ab, Mitarbeitende greifen auf bekannte Arbeitsweisen zurück und der erhoffte Mehrwert bleibt aus.

You see another article. "This platform just changed everything." And suddenly, the AI platform you've been using for months feels completely inadequate. You wonder if you're behind. You wonder if you should switch again. Neo and I have had this conversation more times than we can count, and it's one of the questions we get asked constantly at Inventium AI. Which of the four major AI platforms, Copilot, ChatGPT, Claude and Gemini, should you actually be using? In this How I AI episode, Neo and I walk through the three questions you should ask yourself before committing to any platform, then go through each one in turn to unpack where it shines and where it falls short. By the end, you will have a clear enough picture to make a call, or at least know which one to try next. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn: The three questions to ask before committing to any AI platform Why your data's location could rule out certain options entirely Which platform actually plugs into your daily work apps How pricing models are shifting in ways that could blindside your budget What to weigh before moving your whole company over Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out now. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

http://www.mofpodcast.com/http://www.pbnfamily.comhttps://www.facebook.com/matteroffactspodcast/https://www.facebook.com/groups/mofpodcastgroup/https://rumble.com/user/Mofpodcastwww.youtube.com/user/philrabhttps://www.instagram.com/mofpodcasthttps://twitter.com/themofpodcasthttps://www.cypresssurvivalist.org/Support the showMerch at: https://southerngalscrafts.myshopify.com/Shop at Amazon: http://amzn.to/2ora9riPatreon: https://www.patreon.com/mofpodcastPurchase American Insurgent by Phil Rabalais: https://amzn.to/2FvSLMLShop at MantisX: http://www.mantisx.com/ref?id=173*The views and opinions of guests do not reflect the opinions of Phil Rabalais, Andrew Bobo, Nic Emricson, or the Matter of Facts Podcast*Listener Mark prompts the MoF boys with an interesting question: can AI be useful in Preparedness? Other than being what promotes Phil to either local warlord or Leader of the Resistance when the machines take over? Mark used AI to cook up the pistol drill regimen some of the OG trainers would have recommended, and served it up for the boys to critique.Matter of Facts is now live-streaming our podcast on our YouTube channel, Facebook page, and Rumble at 7:30 PM Central on Thursdays . See the links above, join in the live chat, and see the faces behind the voices. Intro and Outro Music by Phil Rabalais All rights reserved, no commercial or non-commercial use without permission of creator

A moi d'être interviewée et par une fidèle auditrice, Elodie, du compte Elo et ses fils !On fait le bilan de l'année, on parle de Copilot', du Club Fait Main, de Main dans la main... En toute transparence, je vous raconte tout ce qui a fonctionné et moins fonctionné cette année !Bonne écoute et mille mercis à Elodie pour cette conversation :)Mélanie

Neuron Live is back and we are going deep on Microsoft's big move in AI agents.

In this episode of the Executive Function Braintrainer Podcast, host Darius Namdaran and Dr. Erica Warren explore how AI is beginning to transform executive functioning by reducing cognitive overload and helping people manage everyday tasks more effectively. They discuss the difference between AI chatbots and AI agents, and share practical examples of how these tools can support students, professionals, and anyone struggling with distraction, procrastination, or digital clutter. The episode highlights the growing potential of AI to act as a trusted digital co-worker, offering greater focus, organization, and peace of mind.Links:Obsidian: https://obsidian.md/ Claude cowork: https://claude.com/product/cowork Chat GPT: https://chatgpt.com/ Open Claw: https://openclaw.ai/ EF Student Coaching with Erica:⁠⁠https://learningtolearn.biz/⁠⁠⁠⁠EF Adult Coaching with Erica:⁠⁠⁠⁠https://dropintoyourbestself.com/coaching⁠⁠⁠⁠Executive Function Products and Tools: https://goodsensorylearning.com/collections/executive-functioning-skills-trainingivvi notes: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ivvi.app⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Executive Functioning Coaching Course: ⁠https://www.learningspecialistcourses.com/courses/teaching-EF-and-study-strategies⁠Executive Functioning Resources: ⁠⁠⁠https://goodsensorylearning.com/collections/executive-functioning-skills-training⁠⁠⁠Executive Functioning Assessments:⁠⁠⁠⁠ https://goodsensorylearning.com/search?type=product&q=EFCA⁠⁠⁠⁠Inner Voice:⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠https://goodsensorylearning.com/blogs/news/inner-voice-app⁠⁠Brought to you by:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ivvi.app⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://goodsensorylearning.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://learningspecialistcourses.com⁠⁠⁠⁠https://goodsensorylearning.com/products/executive-functioning-coaching-assessment⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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.

A recent survey using 138 metrics – access to a skilled workforce, the cost of doing business, infrastructure, and cost of living, to name a few – found one state rose above all as the best for where to run a business. Host Gene Marks talks about the top five. See if your state is highlighted. Gene also shares a few tips on how to structure paying oneself in an S Corporation to avoid a surprise when it's time to receive social security payments. In AI news, Microsoft listens to users' concerns over constant monitoring and offers options to turn off some Copilot functions. Listen to the podcast.   Topics: 00:00 – Introduction 00:50 – Top States for Businesses 03:19 – S Corp Payroll and Social Security 07:07 – Microsoft Adjusts Copilot's Course 09:38 – Episode Wrap-up Additional Resources S Corp Payroll: https://bit.ly/s-corp-payroll Meet Paychex: https://bit.ly/3VtM6bs DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

Build a fully working model-driven app from your existing Dataverse, SharePoint, or SQL data in under a minute — screens, navigation, and forms included. Generate new pages from a natural language prompt with Generative Pages, auto-populate records from any document in seconds with Automatic Form Fill, and embed Copilot to query your app data directly. Layer in an Agent Feed to proactively surface decisions, missing data, and action items, then connect to Outlook and Microsoft 365 through Work IQ to act on your app data without leaving your inbox. Jed Brown, Power Platform Group Product Manager, shares how to turn existing business data into a modern, AI-powered app.  ► QUICK LINKS:  00:00 - Create apps using Power Apps 01:07 - Create an app from existing data 02:26 - Copilot + Form Fill Assist 03:46 - AI-generated pages from a prompt 04:53 - Agent feed for proactive intelligence 06:16 - M365 integration via Work IQ 06:46 - Wrap up ► Link References Build your first Power App today at https://make.powerapps.com ► Unfamiliar with Microsoft Mechanics? Microsoft's Official Video Series for IT - Subscribe https://www.youtube.com/c/MicrosoftMechanicsSeries - Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog - Podcast: https://microsoftmechanics.libsyn.com/podcast ► Join us on social: - https://twitter.com/MSFTMechanics - https://www.linkedin.com/company/microsoft-mechanics/ - https://www.instagram.com/msftmechanics/ - https://www.tiktok.com/@msftmechanics    

Quantas vezes você repetiu a mesma instrução pro Copilot essa semana? Neste Snippet, recebemos Marina Coimbra, Arquiteta de Software na dti digital. Ela compara Instructions e Skills, os dois artefatos que sustentam o harness de um desenvolvimento orientado por IA, e mostra onde cada um entra no fluxo do time. Ela ainda explica por que isso pesa direto no tempo de code review. Dê o play e ouça agora!Assuntos abordados:Conceito de Harness;Instructions sempre ativas;Guia de conduta;SKILL.md explicado;Skills sob demanda;Portabilidade entre ferramentas;Redução de retrabalho;Conhecimento de time.Links importantes:Vagas disponíveisNewsletterDúvidas? Nos mande pelo LinkedinContato:  entrechaves@dtidigital.com.brO Entre Chaves é uma iniciativa da dti digital, uma empresa WPP #inteligenciaartificial

"Being on Shopify means you get access to agentic automatically, out of the box." Your store is already selling inside ChatGPT, Copilot, Gemini, and Shop, whether you've noticed or not. Aaron Glazer, Director of Product at Shopify, joins Kurt to explain Agentic Storefronts, the new Admin experience that finally makes that presence visible and controllable. The buyer behavior has already shifted. Shoppers now have long conversations with an AI about a whole use case, a camping trip, a problem, a gift, and arrive at your store already sold. Agentic Storefronts shows you the traffic, sales, and conversions from each AI channel, plus the real queries surfacing your products, so you can see where you rank and where you don't. Aaron and Kurt get into why this is the new SEO, why complete product data is the whole game, how Shopify Catalog structures your catalog for agents, what native checkout in an AI channel actually means, and why you stay the merchant of record with the customer relationship intact. Plus a bonus on Rollouts and SimGem heading into BFCM. 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 LINKS Agentic Storefronts: Shopify Admin > Agentic Storefronts (left nav) Shopify Catalog (for developers): build on the product discovery API Rollouts and SimGem: in Shopify Admin 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.

News sources: https://lmg.gg/ZCaCC Timestamps: 0:00 Copilot PC Insights0:57 OnePlus Leaves the US and Europe1:31 Japan and China Test Reusable Rockets3:16 QUICK BITS INTRO3:24 What Cable Tests USB-C Cables3:53 Proton 11 Improves Linux Gaming4:15 AMD FSR Multi-Frame Generation Leak4:43 Quantum AI Designs Vaccine Peptides5:04 Floating Robot Companion5:30 Credits Learn more about your ad choices. Visit megaphone.fm/adchoices

This weeks shownotes are brought to you by Microsoft CoPilot - and I think that's funny. Why? Because nobody really uses this outside of work. But here I am - using it. But I can all hear you say - "but Joel, producing the Two Jacks is essentially work" and I would agree. But let's not get carried away on such things. But I do get to compare and contrast AI models. And I do like the podcast (when the audio isn't fucked) so I guess I'm breaking even. Right?Highlights: copilot refuses to acknowledge my prompt that clearly states Jack is not me (he's just using the login) and also the FUCKING NERVE at the end to say it's produced by Two Jacks. Copilot suuuuucks.------------------------------------------------------------------------Jack the Insider (Joel Hill) and Hong Kong Jack cover the week's biggest stories: a downgraded Australian growth forecast, renewed Middle East tensions and oil-price risk, the cost of housing regulation, a controversial podcast appearance by the Prime Minister, new Pacific security ties, UK political drama, and a full sports roundup. The conversation mixes policy analysis, local anecdotes and sharp takes on political judgement.From the transcript: “The firm expects headline, inflation to remain elevated above 4% and unemployment to peak at 5%.”Shownotes with timestamps(All timestamps advanced by 25 seconds to allow for theme music)00:00:25 — Welcome and housekeeping  Hosts: Jack the Insider (speaking as Joel Hill) and Hong Kong Jack open the show and trade personal updates (dental woes, home repairs).00:02:12 — Australian economy update  Topic: Deloitte downgrades growth to 1.3% this financial year; inflation and unemployment outlook; RBA commentary on Commonwealth spending. Key takeaway: growth is slowing and inflation remains a problem.“Australia's growth outlook has deteriorated over the past six months. The economy is still expanding, but growth has slowed and the outlook has become more fragile.”00:06:05 — Middle East and oil risk  Topic: Iran, Strait of Hormuz disruptions, US options and the long-term economic impact of sustained higher oil prices. Discussion of the limits of military options and the political timing pressures in the US.00:11:36 — Housing, regulation and planning delays  Topic: RBA 2018 study on Sydney housing regulation costs; local DA delays, heritage listings and the cost of permits. Practical points on streamlining approvals and supply-side fixes.00:20:54 — Political gaffe: Prime Minister on a podcast  Topic: Reaction to the PM's Nova-style podcast appearance and awkward answers; media-advice failures; debate over whether senior politicians should accept small‑reach podcast interviews.00:31:40 — Pacific security and Fiji treaty  Topic: New treaty with Fiji makes it Australia's fourth alliance partner; strategic context and China's regional activity; soft-power vs bidding-war approaches.00:35:40 — UK politics and Nigel Farage  Topic: Farage resigns his seat and triggers a by-election amid funding questions; Andy Burnham's expected rise to Prime Minister and the legitimacy challenge for leaders chosen without a general election.00:46:58 — Europe and Germany's budget push  Topic: Germany pushes back on EU spending plans and flags competitiveness concerns; energy and industrial cost pressures.00:55:50 — Russia, Ukraine and military developments  Topic: Ukrainian strikes, Crimea pressure, and the risks of escalation; discussion of cruise-missile production and defensive needs.01:12:30 — Sport roundup  Topics covered: Women's cricket dominance; World Cup highlights (Argentina, Norway, Mbappé); State of Origin; AFL/NRL broadcast deals and coaching moves; track standout Cameron Myers.Key quotes from the episodeOn the economy: “Inflation has re-accelerated, interest rates have moved higher and the oil price shock triggered by conflict in the Middle East is not yet fully resolved.”On housing regulation: Hong Kong Jack: “If you could have that $380,000 that it was seven years ago that comes onto the cost of building a house in Sydney, just think how much better off people in Sydney would be.”What we liked and what to watchWorth following: developments in the Strait of Hormuz and any new RBA/Treasury commentary on growth and inflation.Local watch: NSW planning reforms and ICAC inquiries into property development.Politics: the fallout from the PM's podcast appearance and the UK by-election dynamics around Nigel Farage.How to listen and get involvedSubscribe on your favourite podcast app.Send us feedback or story tips — Jack the Insider and Hong Kong Jack read listener mail each week.Share this episode if you found the housing or geopolitics segments useful.Produced by Two Jacks — Episode 164. Thanks for listening; we'll be back next week.

In today's MadTech Daily, we look at Apple suing OpenAI over alleged trade secret theft involving former employees, Microsoft striking a deal with Nine to feature its journalism in Copilot AI results, and Integral Ad Science appointing Lidiane Jones as its new CEO. 

Canada's General Fusion is now the first publicly traded nuclear fusion company, as its Nasdaq debut gives it more cash to chase a breakthrough that could one day help meet soaring demand for clean power — if the still-unproven tech can finally produce more energy than it uses. Plus, doctors are warning about a tick-borne illness that was barely on their radar five years ago, as warming temperatures help ticks spread farther north and bring more diseases with them.And in The Big Picture: Ottawa and Alberta strike a deal with oil sands producers on a major carbon capture project, an Innu First Nation rejects Quebec's proposed hydro deal, and Chinese automaker Dongfeng gets ready to sell EVs in Canada.After today's interview we host an exclusive interview with Sumee Seetharaman, VP of AI/ML Practice in the Center of Excellence at TD:Brett:Hey, Peak Pals. Thanks so much for joining us today. We've got a great guest for you, Sumee Seetharaman, who is the VP of AI/ML Practice in the Center of Excellence at TD. This is gonna be a great conversation about AI at work, something I think we're all experiencing, so we're really excited to have you. To kick it off, the use of AI in Canadian workspaces is surging. According to KPMG, about 51% of Canadian adults are now using generative AI at work. Has the technology become just so commonplace in the workplace that Canadians need to have AI skills before they enter the workforce? And if so, which skills do they need? Sumee:Yeah, it's a great question. Interestingly, we're at a point where the personal use of AI is far exceeding use at work, a March 2026 Angus Reid survey found that over 70% of Canadians surveyed had used AI in the previous three months for personal use. So odds are that most folks are actively using AI for their day-to-day already and have some of the basic AI skills required at work. Skills like knowing how to use and prompt a chatbot effectively, and I'm not talking about just a single Q&A, but really knowing how to converse with the model. Treating, the response to your initial question as just the starting point. Knowing how to ask follow-up questions and providing clear instructions to refine the response. So the fluency is in really knowing how to iterate and refine, building out the parts that are missing, and pruning out the parts that don't feel right? Most people are learning to do this instinctively as they're using ChatGPT and Gemini apps. Next, I want to say folks who are using AI regularly are also starting to develop a good sense of the strengths and the limitations of the technology, right? All of us have encountered that the model sometimes hallucinates, and so we know and we've learned that we cannot treat the output of the model as gospel. And so in a work setting, this is where domain expertise, not AI expertise, is actually more helpful because we need experts to validate and apply human judgment on the output of the model. And also if you're actively using AI and reading on AI, AI can be used in harmful ways, so most folks are starting to develop an appreciation for the guardrails that are needed and what does responsible use of AI look like. And are careful about what you put into public versions of these models. You're starting to build a good awareness of privacy safeguards and such. All that to say if you're familiar with using ChatGPT or Gemini for personal use- You should be able to fluently use most AI tools in the workplace. So at TD, over seventy percent of our colleagues our workforce has access to a GenAI capability, whether it's virtual assistants that we have developed in-house for our frontline colleagues in contact centers or wealth operations or branches, or Copilot capabilities we've enabled across the organization. GitHub Copilot for developers and Power BI Copilot and Office 365 Copilot. So chances are, if you're joining TD, you have access to these AI capabilities to, to really amplify your impact, and you probably are already quite fluent in how to use them. Brett:TD is obviously ahead of the curve on AI, and I'd be interested from a practical standpoint, what are some examples of jobs at TD that AI is already transforming? Sumee:Yeah. So we recently announced our first agentic AI use case to, to speed up the pre-adjudication process of mortgage and HELOC applications. So when an application is submitted, AI agents that we've deployed are actively scanning the documents, calculating client income, performing consent checks, looking for discrepancies, et cetera. After this sort of document review process is done, the agents then produce a memo with their findings and this goes off to the underwriters to review and make a decision on the application. And so if you look through that agentic AI activation, it's transformed the jobs of colleagues like our underwriters who are now working hand-in-hand with AI agents and making decisions on applications much faster. We've gotten the review process down to an average of three minutes from an average of fifteen hours. Effectively, the way they're operating has transformed day-to-day. If I look at the role of our back-office staff that has transformed as well. They're now providing valuable oversight on our AI agents and helping us ensure that it's performing within the necessary parameters and it's delivering the right outputs. It's just the first set of use cases supporting the first pre-adjudication leg, but there's a much broader end-to-end transformation roadmap for our real estate secure lending operations. So we're just getting started. And as we gradually scale AI use within RESL operations, we'll start to see more role transformation across the board. On a similar vein I find the roles of our frontline colleagues are gradually evolving, transforming too. So our colleagues in branches are now using gen AI virtual assistants to help prepare for client meetings, answer complex questions effectively. Our colleagues in TD Securities are now using these virtual assistants to speed up the research process and really amplify the sales cycle. So across our frontline, our new hires now have an expert AI support on their fingertips, which means they can now spend far more time focusing on sales advice, deepening relationships with our clients. So slowly but surely, we see these roles evolving, getting actually much, much more client-focused and less manual work and less operational focus, if you will. Brett:What is TD doing to help train and upskill colleagues so that they can build the AI skills they need to thrive in these transformed roles? And I guess how do upskilling efforts differ for an individual who's a beginner with AI versus a new hire at Layer 6 who's looking to build their AI skills? Sumee:Yeah, it's a great question. We're actually employing a multi-pronged training strategy for AI across the organization. Obviously it's customized to your function, your role within the organization, but it takes many formats. It could be trainings, recordings, live, virtual or in-person immersive hands-on sessions, hackathons, longer-term programs and pilots, et cetera. Across the gamut, depending on the role you're in, depending upon the function you're in. I'll maybe talk about a few initiatives, what we've rolled out across the organization. The first one I'll highlight is TD Thrive, which is our enterprise learning platform. It has dozens of AI courses that are available on demand to every TD colleague, and these cover a broad spectrum of topics from one-on-one sessions like getting started on LLMs to very advanced, architecture of agentic systems, as an examp...

When most people hear "digital divide," they picture communities without broadband. But in 2026, that definition is dangerously outdated. "The digital divide is no longer just about internet access." These words from Graeme Gordon, Chief Executive Officer of Converged Solutions Group, set the tone for one of the most pressing conversations in technology today.In this episode of Tech Transformed, host Trisha Pillay sits down with Gordon to unpack the changing digital divide, the massive impact of AI adoption, and what it truly takes. Gordon, whose background spans electrical engineering, oil and gas robotics, and three decades of founding and scaling tech companies, says that the new digital divide is about meaningful participation in the AI-driven economy, not just connectivity.“More people are connected than ever before,” Gordon explains. “But connection without capability is just noise.” He points to mobile internet adoption as a case in point. Billions of people now access the internet via smartphones. However, the gap between scrolling social media and using cloud-based AI tools to build products and services remains wide.This participation gap is the new frontier of digital exclusion. The implications stretch well beyond individual users. Organisations, governments, and education systems that fail to close this gap risk being locked out of the innovation economy entirely.AI Adoption Without EducationFew developments have accelerated the digital divide conversation quite like the arrival of ChatGPT in late 2022. Gordon calls it plainly: "ChatGPT has disrupted and transformed the sector," and not just for technologists. The tool put generative AI in the hands of business professionals, students, and everyday users almost overnight.Gordon says it's time to rethink our approach to AI. At a recent event he attended with 100 business leaders in the room, every hand went up when asked if they had used an AI platform in the last 24 hours. When asked who had received any formal training on how to use those tools, not a single hand was raised. This is the core paradox of AI adoption today. The tools are everywhere. The understanding of how to use them safely, strategically, and effectively is not. Without structured digital literacy and education, rapid AI adoption becomes a liability rather than an asset for individuals and organisations alike.Barriers to Digital InclusionGordon identifies several interconnected barriers preventing organisations from fully participating in the digital economy. Let's have a look:Skills gaps remain the most acute. Technology evolves faster than most training programmes, let alone formal education curricula. University degrees and annual school terms were not designed for the pace of AI-driven change.Trust and credibility are equally critical. Gordon warns of what he calls "AI slop", the growing proliferation of AI-generated content and half-built solutions that look polished but lack substance or security. Organisations that rely on AI without proper oversight risk undermining the customer trust they're trying to build.While infrastructure quality is improving globally, it still creates disparities, particularly around data sovereignty. The question of where your data sits, who can access it, and under what compliance framework is no longer just a legal concern. It is a competitive and ethical one.Sovereign AIOne of the most forward-looking concepts Gordon introduces is sovereign AI, the idea that organisations must control not just their data, but the AI infrastructure that touches it. Just as data sovereignty became a boardroom priority, AI sovereignty is now following the same path."Business leaders type sensitive information into ChatGPT or Copilot without thinking twice," Gordon cautions. The solution isn't to avoid AI, it's to build internal AI agents and platforms that interact with large language models without exposing proprietary data to the open web. This is why hyperscaler data centres are appearing in unexpected geographies: latency is secondary; sovereignty is the driver.Gordon's advice to business leaders is refreshingly direct: go experiment. "You won't break anything," he says. The AI-driven economy rewards curiosity, iteration, and speed of learning, not perfection. Leadership teams need to model responsible AI use, invest in upskilling their people, and treat education as a strategic asset. This applies as much to frontline healthcare workers as it does to C-suite executives.If you would like to find out more, connect with Graeme Gordon on LinkedIn.TakeawaysThe evolving digital divide from access to participation.Impact of AI and ChatGPT on business and society.Importance of secure and sovereign AI infrastructure.Role of education in digital literacy for all.Leadership strategies for AI adoption and trust.Barriers to digital inclusion: skills, trust, infrastructure.Practical steps for organisations to implement AI responsibly.Chapters00:00 Understanding the Digital Divide02:49 The Role of AI in Participation06:01 Barriers to Digital Adoption09:07 The Importance of Education11:45 Building a Secure AI Foundation14:51 Trust and Credibility in AI18:11 Practical Advice for Organisations

You've probably seen Cowork mentioned inside Claude, or perhaps you clocked the headlines when Microsoft folded it into Copilot a couple of weeks ago. Either way, the question people keep asking is simple: how is this actually different from just chatting with Claude? The answer comes down to files, time and money - three things that change quite dramatically once you move from chat to Cowork. In this How I AI episode, Neo and I unpack exactly what Cowork can do that regular chat can't, how to know which one to reach for, and what the new Microsoft version means if you're a Copilot user. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn: What actually changes when Claude can touch files on your own computer The simple test for deciding between Chat and Cowork for any task How Cowork differs from Claude Code, and who each one is really built for Three lesser known Cowork features worth exploring What Microsoft's version of Cowork does differently, and what it costs Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out now. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

QOTW: What does success look like on Excel and Power BI projects? Other nonsense:

In this episode, Ray Cochrane breaks down AI distillation, the teacher-student technique frontier labs now lean on to train smaller, cheaper models. He also covers GPT-5.6’s government-vetted rollout, Claude Sonnet 5 landing on AWS, Maryland’s two-year data center pause, and Microsoft’s climbing carbon numbers. Finally, he wraps with Apple’s $30 billion Broadcom deal, Meta’s tamper-proof recording light, Michigan’s parasite outbreak, and a simulation that erased a super El Niño. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a quick personal update. Longer days have him outdoors, including a float trip on the Sandy River at Dabney State Park, where he found clearer water, clay-like sand, and easy footing. Next week brings both a move and a trip home, so he is stocking up on Trader Joe’s “Power Berries” and IKEA bags at his mom’s request. Then he turns to the lead story. AI Distillation Explained: How Frontier Models Teach Each Other Cochrane’s featured story comes from Hugging Face engineer Sergio Paniego. Distillation is teacher-student training for AI: a capable model generates the training signal, and a smaller student learns to match it. The classic off-policy version compresses giant models into cheap students, either through soft labels or piles of worked answers. Google’s Gemma models and DeepSeek’s R1-Distill line were built exactly this way. However, the industry is now converging on multi-teacher on-policy distillation, or MOPD. Labs build reinforcement-learning specialists for math, coding, and agentic work, then have them grade a single student, word by word, as the student generates its own answers. DeepSeek-V4, MiMo-V2-Flash, and NVIDIA’s Nemotron 3 Ultra all run versions of the recipe, and the Qwen3 team reported better results at roughly a tenth of the GPU hours of raw reinforcement learning. Finally, self-distillation lets models like Cursor’s Composer 2.5 learn from better-prompted versions of themselves. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. GPT-5.6 Arrives With a Government-Vetted Rollout OpenAI shipped GPT-5.6 as a three-tier family: Sol, Terra, and Luna. Sol costs five dollars in and thirty dollars out per million tokens, half of Claude Fable 5’s rate. The benchmarks split: Sol Ultra wins Terminal-Bench at 91.9 percent, while Claude Fable 5 still leads SWE-Bench Pro. Notably, the API launched in limited preview to roughly 20 partners vetted by the U.S. government, though the model went live in Microsoft 365 Copilot on day one. Claude Sonnet 5 Lands on AWS, Plus Quick AWS Wins Claude Sonnet 5 arrived on AWS through Bedrock, pitched as top-tier intelligence at Sonnet pricing. Additionally, Amazon WorkSpaces for AI agents reached general availability, enabling agents to drive full desktop applications securely. OpenSearch gained a log-analytics engine claiming four times the price-performance, and SageMaker now scales inference about twice as fast. Cochrane also flags that Kendra and Q Business move to maintenance mode at the end of July. Anthropic Wants You to Reflect on Your Claude Habits Anthropic launched Reflect, a beta feature that analyzes your past Claude conversations and visualizes how you actually use the assistant. It requires Memory, excludes incognito and health-related chats, and keeps its insights inside the tool. Cochrane loves the idea. He reviews his own transcripts to extract prompt patterns and turn them into reusable skills, and he suggests listeners simply ask their AI to do the same. AlphaEvolve Goes GA on Google Cloud Google made AlphaEvolve generally available to Google Cloud customers on the Gemini Enterprise Agent Platform. The agent acts as an evolutionary collaborator: provide a baseline algorithm and your goals, and it searches for better, human-readable code. BASF, JetBrains, and Kinaxis are the named early adopters. Meanwhile, Cochrane renews his standing wish that DeepMind release AlphaGo as a playable teacher. Google Adds “How This Ad Was Made” AI Labels Google is adding a “How this ad was made” section to My Ad Center across Search, YouTube, and Discover. Ads built with Google’s own AI tools automatically get the disclosure, backed by invisible watermarks. However, ads made with outside tools rely on advertiser self-declaration. Cochrane points out the limits of voluntary disclosure in an AI-flooded content economy. Microsoft’s Carbon Emissions Climb 25 Percent Microsoft’s new sustainability report shows emissions up 25% in 2025, driven by a data center construction spree. The gross figure is 34 million metric tons before offsets, while other coverage puts the net figure at around 20 million. Water consumption also jumped thirty-four percent, even as Microsoft claims its first water-positive year. Cochrane argues regulation needs to catch up, since Google and Amazon report similar increases. Prince George’s County Pauses Data Centers for Two Years Prince George’s County adopted a two-year moratorium on new data center development, the longest pause in Maryland so far. The resolution blocks new applications, including hyperscale projects, until the council passes real regulations. Water and energy impacts remain open questions the county intends to study. Cochrane gives kudos to residents for making their voices heard. Apple and Broadcom Ink a $30 Billion U.S. Chip Deal Apple is expanding its partnership with Broadcom with a multiyear agreement expected to exceed $30 billion. The deal covers custom silicon and wireless components, with more than fifteen billion chips to be made on American soil. Broadcom’s Fort Collins, Colorado plant anchors the work with a $1.5 billion equipment expansion. Tim Cook framed the deal as accelerating Apple’s commitment to American manufacturing. MSI and Intel Ship the First Arc G3 Extreme Handheld Intel detailed how it co-engineered the MSI Claw 8 EX AI+, the first handheld on the Arc G3 Extreme processor. Highlights include a heat-spreading board layout and game-tuning loops that Intel says run Cyberpunk 2077 up to thirty-seven percent faster. The device is on sale now in void purple for around $1,500. At that price, Cochrane jokes he would rather buy a computer. Meta’s Glasses Get a Tamper-Proof Recording Light Meta answered the most common privacy questions about its AI glasses. Photos stay private on the device until the wearer imports or shares them, and a white capture LED blinks during any recording with no off switch. Moreover, newer glasses disable the camera if the LED is blocked, tampered with, or destroyed. Cochrane reminds listeners these claims are Meta grading its own homework, but the blink signal is worth recognizing in public. Michigan’s Parasite Outbreak Tops 1,200 Cases Michigan’s cyclosporiasis outbreak reached 1,251 cases since June 22, with roughly forty hospitalizations along the way. Northwest Ohio adds more than five hundred cases. The parasite typically spreads through contaminated fresh produce, and investigators still have not found the source. Cochrane’s advice: wash your produce, and get tested if your symptoms fit. AI Finds the San Andreas Fault’s Silent Slips Researchers paired AI with borehole strainmeters to detect dozens of hidden slow-slip events beneath the San Andreas Fault’s Parkfield section. Each silent slip releases stress within hours and is reliably followed by low-frequency earthquakes. Together, the findings support a continuous spectrum from silent creep to destructive quakes. The study appears in Nature Communications, and Cochrane hopes it will lead to better earthquake prediction. Cloud Brightening Erased a Super El Niño, in a Simulation Finally, a Science Advances study simulated marine cloud brightening in response to the 1997 and 2015 super El Niño events. Seeding clouds over the eastern Pacific erased the events entirely inside the model. Real deployment would take roughly 2,400 ships spraying continuously, and the simulations showed side effects like extra warming over Europe and Asia. Cochrane finds the weather-machine concept fascinating, yet he questions the consequences of altering cycles the planet runs for a reason. The post AI Distillation: How Frontier Models Teach Each Other #1870 appeared first on Geek News Central.

Join us as Bob Belderbos breaks down how to actually learn new skills and languages in a world where AI can write the code for you before you've even finished the thought. Bob shares why he taught himself Rust the hard way, how keeping deliberate friction in your learning process protects you from skill atrophy, and why AI is incredible at explaining concepts but dangerous as a crutch for understanding them. You'll learn the difference between using AI to explain versus using it to do, how to structure a project-based learning path with tests as your guide, why coding autocomplete might be quietly hollowing out your skills, and how his Python and Rust cohorts are teaching professional engineers to use agents without losing ownership of their code. Timestamps 0:00 Welcome & Introduction 1:09 Bob's Background - From VBA to Python to Rust 4:39 Why Learn Rust When Python Already Works 11:43 AI as a Learning Assistant vs. a Socratic Teacher 12:30 The Slot Machine Problem - Agents and Skill Atrophy 17:24 Working Outside Your Expertise - The Fast LED Story 27:02 Structuring Prompts That Actually Teach You Something 33:56 Teaching Agentic AI in Production - The Expense Classifier Cohort 36:07 Autocomplete, Copilot, and the Line Between Helping and Hollowing Out 44:03 AI Slop, Coauthorship, and the Anti-Slop Engineer 53:49 What's Next - Rust, Haskell, and Bob's Upcoming Cohorts How to find Bob: https://www.linkedin.com/in/bbelderbos/ https://belderbos.dev/ Links from the show:

Key Takeaways Solgari's leading innovations: Grant explains that Solgari provides a customer engagement platform built on Azure that extends Microsoft Teams and Dynamics 365 (as well as other CRMs) to capture customer conversations and centralize that data for better engagement. Customers are adopting it to quickly solve specific engagement challenges, gain fast ROI, and apply it to AI strategies to drive more intelligent business outcomes. AI's role in customer engagement: Companies that centralize customer conversations into a single data platform gain an advantage because AI is only as effective as the data it can access. Grant says customer engagement is "ground zero for AI" as it enables capabilities like automation, sentiment analysis, and sales or service intelligence that improve customer satisfaction, reduce costs, and deliver measurable ROI. Use case: Grant shares details on Solgari's involvement with AMB Sports & Entertainment, who own the Atlanta Falcons. Solgari helped them unify fan engagement across voice, SMS, email, and WhatsApp within Microsoft Teams and Dynamics 365, creating a repository of fan conversations in Dataverse. By consolidating this data, AMB Sports & Entertainment is now well positioned to "create momentum around their AI strategy." Final thoughts: In closing, Grant shares why Solgari has shifted its customer and partner conversations away from product demos and toward business outcomes, showing how customer engagement data can evolve into valuable AI use cases over time. Visit Cloud Wars for more.

Jeremy Segal, Executive Vice President of Corporate Development, Progress (NASDAQ: PRGS) Buyers who mistake a high LOI bid for a winning strategy are easy prey for sellers who know the growth equity playbook. Jeremy Segal's position: precision at the LOI stage is a stronger differentiator than price. Jeremy Segal is EVP of Corporate Development at Progress (NASDAQ: PRGS), a publicly traded software company that has nearly doubled revenue through M&A, from under $400 million to nearly $1 billion. He has closed roughly 50 acquisitions across his career at Progress, LogMeIn, and Akamai. How do you build a cost-optimization model before LOI for lines you know you can execute? How do you win a competitive process against PE without the highest headline number? When a seller restricts access during the announce-to-close window, how do you decide whether to escalate or walk? And how do you handle a workforce that expected an IPO and got an acquisition instead? Jeremy answers each one. What You'll Learn Building a pre-LOI cost optimization model on what you can actually execute How to use existing infrastructure to outbid PE on price Escalating diligence friction before it kills a deal Why a no-retrade commitment builds trust with sellers Structuring retention pools when a target's IPO falls through What target profile actually fits a disciplined buyer Why private valuations haven't caught up to public markets If you're building deal models before LOI and want a framework for translating those assumptions into an operational plan you can actually execute, DealPilot, powered by M&A Science, has Buyer-Led M&A™ frameworks to help you close the gap between what you modeled and what you deliver. ____________________ This episode of M&A Science is presented by DealRoom. DealRoom just launched the only MCP server built for Buyer-Led M&A™ — so your AI and your deal data finally work together. Connect Claude, ChatGPT, or Copilot directly to DealRoom and let your AI read your pipeline, analyze due diligence documents, and automatically write findings back.  See for yourself: dealroom.net/mcp ____________________ Episode Chapters [00:00] Intro [05:07] Why M&A has to be the growth engine [07:36] Deal cadence and financial discipline [09:42] Pipeline strategy and the five-year roadmap [12:46] How the synergy model works before LOI [17:15] The no-retrade commitment [17:48] Chef: beating PE on a competitive deal [24:56] ShareFile: carve-out from Cloud Software Group [28:07] What to look for in a carve-out diligence [33:48] MarkLogic: when the seller restricts access [38:48] When seller motivation becomes an orange flag [40:09] What counts as a material change warranting a retrade [41:12] How public market cycles affect the deal pipeline [48:09] Advice for a first-time acquirer [49:46] The craziest thing in M&A [53:02] Early Warning Signs in Diligence

Intel Chat with Matt Bromiley and Chris Luft.Matt and Chris break down four stories from the week in threat intel:• Varonis Threat Labs' "Rogue Agent" — a permission boundary flaw in Google Dialogflow CX's Code Blocks feature that could let an attacker with a single permission (dialogflow.playbooks.update) inject persistent malicious code into a chatbot's execution pipeline and silently exfiltrate conversations; Google has fully patched it, no customer action required.• The EvilTokens campaign and "ghost phishing" — AES-GCM-encrypted phishing pages that look harmless to URL scanners and only reveal themselves after decrypting in the victim's browser, driving Microsoft device code phishing against Microsoft 365 accounts.• CISA adds four actively exploited flaws to the KEV catalog with a July 10 patch deadline under BOD 26-04: Adobe ColdFusion (CVE-2026-48282, CVSS 10.0), Langflow (CVE-2026-55255, chained with CVE-2026-33017), and Joomla's SP Page Builder (CVE-2026-48908) and Page Builder CK (CVE-2026-56290) extensions.• HalluSquatting — Tel Aviv University researchers show attackers can register the repository names AI coding assistants predictably hallucinate, then ride prompt injection to code execution on developer machines — with success rates up to 85% for repos and 100% for skill installs across Cursor, Windsurf, Copilot, Cline, Gemini CLI and more.Stories covered:• https://www.darkreading.com/application-security/dialogflow-cx-rogue-agent-flaw-enabled-ai-chatbot-data-theft• https://thehackernews.com/2026/07/new-ghost-phishing-wave-is-breaking.html• https://www.securityweek.com/cisa-urges-immediate-patching-of-exploited-coldfusion-langflow-joomla-flaws/• https://thehackernews.com/2026/07/new-hallusquatting-attack-could-trick.htmlChapters:0:00 Intro & catching up4:31 Google Dialogflow CX "Rogue Agent" flaw11:03 EvilTokens & "ghost phishing"17:37 CISA KEV: ColdFusion, Langflow & Joomla — patch by July 1024:56 HalluSquatting: weaponizing AI hallucinations33:16 Wrap-upThe Cybersecurity Defenders Podcast — a podcast about cybersecurity and the people that keep the internet safe. New episodes drop weekly.Subscribe wherever you listen:• Spotify: https://open.spotify.com/show/6ep00zeY3S8ffZ4o0UeSps• Apple Podcasts: https://podcasts.apple.com/us/podcast/the-cybersecurity-defenders-podcast/id1649981740• YouTube: https://www.youtube.com/@limacharlieioLearn more about LimaCharlie: https://limacharlie.io#cybersecurity #infosec #threatintel #AIsecurity #phishing

This episode features a discussion between host Chad Main and Rebecca Anderson, Head of Legal EMEA, Associate General Counsel at Microsoft, regarding the integration of artificial intelligence in corporate legal departments. The conversation covers Rebecca's career progression from a law firm associate to an international in-house counsel role. The core of the discussion examines Microsoft's internal AI deployment strategies, including the shift from personal productivity to intent engineering. Additionally, the episode addresses changing expectations for outside counsel regarding AI adoption and outlines the necessary skills for future legal professionals. Episode Highlights AI Deployment Phases: AI integration in legal departments progresses through three stages: personal productivity (prompt engineering), context engineering (curating institutional knowledge), and intent engineering (autonomous agents operating with human guardrails). Scaling Legal Support: Corporate legal teams can manage high volumes of client requests by utilizing AI-driven triage systems overseen by paralegals, which allows senior lawyers to focus on complex, high-value legal work. Expectations for Outside Counsel: Corporate clients expect law firms to implement AI strategies to improve efficiency, which will likely shift the industry's economic focus from billable hours to value-based billing. Future Legal Skills: While AI literacy and data curation are critical, foundational skills such as human judgment, emotional intelligence, and strategic business context remain essential for legal professionals. Things we talk about: Copilot for Legal  

A inteligência artificial está mudando a forma como trabalhamos, criamos produtos e até como as empresas contratam novos talentos. Mas, em meio a tantas transformações, surge uma pergunta importante: saber usar IA já virou requisito para quem quer construir uma carreira em tecnologia? No episódio de hoje do Podcast Canaltech, conversamos com Romulo Storel, sócio e diretor de Recursos Humanos da Codeminer42, sobre como a inteligência artificial está redefinindo o perfil dos profissionais mais valorizados pelo mercado. Durante a conversa, ele explica por que algumas empresas deixaram de proibir o uso de IA em avaliações técnicas, como ferramentas como ChatGPT, Claude e Copilot estão mudando a rotina dos desenvolvedores e quais competências estão ganhando importância em um cenário cada vez mais automatizado. O episódio também aborda os erros mais comuns de quem depende demais da IA, os desafios enfrentados por profissionais experientes e iniciantes e o que esperar dos processos seletivos e das carreiras em tecnologia nos próximos anos. Você também vai conferir: Claude leva seu assistente de IA mais avançado para celulares, DeepSeek quer criar seu próprio chip e reduzir a dependência da NVIDIA e celular robô com câmera que se move sozinha pode chegar em agosto. Este podcast foi roteirizado e apresentado por Fernanda Santos e contou com reportagens de André Magalhães, Bruno Bertonzin e Bruno de Blasi. A trilha sonora é de Guilherme Zomer, a edição de Jully Cruz e a arte da capa é de Erick Teixeira. O Podcast Canaltech está concorrendo para entrar no Top 20 do Prêmio iBest 2026! Se você acompanha nossos episódios, curte as entrevistas e gosta do conteúdo que produzimos todos os dias, sua ajuda pode fazer toda a diferença. Vote no Podcast Canaltech aqui. É rápido, gratuito e você pode votar até 3 vezes por dia. See omnystudio.com/listener for privacy information.

AI's all-you-can-eat era is ending.

In this episode, Ray Cochrane digs into “algorithmic outing,” new research showing that social feeds can infer your sexual orientation before you have consciously come out. He also covers Meta’s privacy-aware AI infrastructure, Alberta’s 466-million-line code scan with Claude, NVIDIA on reinforcement learning, and the many journeys of learning Rust. Along the way, he hits Google DeepMind’s A24 deal, WhatsApp usernames, and scuba-diving cyborg cockroaches. Finally, he looks up with Webb’s puzzling early universe, NASA’s emergency telescope rescue, and a gorgeous aurora from orbit. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a quick personal update. He hopes listeners had a good holiday weekend, and he shares that he spent his time working his other job at Oregon’s Finest, chatting with people around Portland. Because his Blurbry workweek tends to be solitary, he refills his social meter on the weekends. He then recalls a Saturday night out with coworkers at the Hungry Tiger before turning to the lead story. Algorithmic Outing: When Your Feed Knows Before You Do Cochrane leads with new research from Australia that identifies a phenomenon called “algorithmic outing.” In short, the recommendation systems behind your social feeds can infer your sexual orientation or gender identity and start serving related content before you have worked it out yourself. Importantly, the study is small and qualitative, built on in-depth interviews with twenty LGBTQ+ adults in the Hunter region of New South Wales and published in the journal Gender, Place and Culture. The mechanism is engagement signals: what you like, who you follow, and how long you linger on a post, a metric the industry calls dwell time. Lead researcher Dr. Justin Ellis of the University of Newcastle notes that several participants said the algorithm “knew” they were queer before they did, an experience that felt validating for some but frightening for others in public settings. For Cochrane, the deeper worry is what else that hidden pattern encodes, from upbringing to mental health, and where that data ultimately gets sold. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Meta’s Blueprint for Privacy-Aware AI Infrastructure Next, Cochrane turns to a sharp engineering piece from Meta on privacy-aware infrastructure. The core challenge is that a system must understand what a piece of data actually is before any privacy rule can protect it. A field named “age,” for example, might describe a person in one place and a cache setting in another. Meta’s answer deploys a large language model only on the genuinely ambiguous cases, then distills what it learns into fixed, human-reviewed rules. The payoff is concrete. According to Meta, those deterministic rules already handle about 85 percent of the traffic, and only the last 15 percent falls back to the model, which costs roughly 400 times more compute. Cochrane loves this edge-case approach. However, he contrasts it sharply with the AI-everywhere software he wrestles with at his weekend job, which he says the heavy AI reliance genuinely makes worse and harder to audit. Alberta Scans 466 Million Lines of Code With Claude This one comes from Anthropic, and it ties directly to Meta’s theme. A team inside Alberta’s Ministry of Technology and Innovation used Claude to scan 466 million lines of code in about twenty hours, a review Anthropic estimates would have taken humans roughly six and a half years. Notably, they ran around fifty AI agents in parallel, essentially an automated red team and blue team probing the systems at once. For Cochrane, this is the good version of AI in production: cleaning up and locking down real systems rather than running the show unsupervised. NVIDIA on Reinforcement Learning for AI Agents On the AI-building side, Cochrane walks through an NVIDIA developer piece on reinforcement learning for agents. Reinforcement learning rewards a model for good behavior rather than showing it the right answer, much like training a dog with treats. Additionally, he clears up a common mix-up. NVIDIA treats RAG, retrieval-augmented generation, as a separate tool: reinforcement learning changes how a model behaves, while RAG changes what facts it can reach. GitHub Retires Two Gemini Models Meanwhile, GitHub is retiring Gemini 2.5 Pro and Gemini 3 Flash across all of Copilot on July 31. The migration paths are Gemini 3.1 Pro and Gemini 3.5 Flash. Cochrane flags it as a sign of the times, since tools that felt brand new a couple of years ago are already getting sunset. He also wonders how quickly today’s “AI-optimized” chips will turn over as the models keep changing. The Many Journeys of Learning Rust One for the programmers, and Cochrane makes no secret of loving Rust. The Rust blog’s Vision Doc series explores how people actually learn the language, which is built around memory safety and its strict borrow checker. Honest themes surface throughout, including “clone guilt,” where beginners refuse to copy anything, and “silent attrition,” the learners who quietly bounce off. His take stands: getting your brain onto a memory-safe language rewires how you approach a problem. Google DeepMind Partners With A24 In an interesting collision of worlds, Google DeepMind is teaming up with A24, the studio behind Hereditary and Everything Everywhere All at Once. The two call it a first-of-its-kind research partnership, with DeepMind researchers and A24 building creative tools shaped by the artists who use them. Cochrane adds a detail worth noting: Google also invested in A24, so this is money on the table, not just a research handshake. For now, though, the announcement stays deliberately vague, with no named films or products. Google’s $1 Million Africa Indie Game Fund Another one from Google, and it is good news for developers. Google is launching an indie games fund for sub-Saharan Africa, a region whose gaming scene is growing about as fast as anywhere. The fund puts up $1 million across ten local studios, each receiving between $50,000 and $200,000 plus mentorship and hands-on support. Applications close at noon UTC on July 31. WhatsApp Usernames Are Here to Reserve WhatsApp is finally moving off phone numbers as your identity. With usernames, someone can start a conversation with you without ever seeing your number. Starting this week, you can reserve the name you want ahead of the full launch later this year. To claim yours, head into Settings, then Account, then Username. Intel Sets Its Q2 Earnings Date Cochrane flags a date worth watching for anyone tracking Intel. The company reports second-quarter results on July 23, right after market close, with an earnings call at 2 p.m. Pacific. Given recent US government investment and a shifting chip landscape, he is curious how the domestic chipmaker is holding up. Your Smartwatch Might Spot Illness Before You Do Shifting to health, Engadget reports that the wearables-plus-AI wave is starting to deliver. These devices excel at catching the moment your body drifts off its own baseline, often the first nudge to get checked out. A 2025 study from Texas A&M and Stanford suggests smartwatches can detect early signs of COVID or the flu within hours of infection. Additionally, Apple Watch’s irregular-rhythm alerts have flagged AFib correctly about 84 percent of the time. Working Memory and Consciousness Here is a heady one from Scientific American, written by philosopher Henry Taylor at the University of Birmingham. Working memory is the mental scratchpad holding whatever you are doing right now. Taylor opens with the doorway effect, that blank moment when you enter a room and forget why. Intriguingly, when information leaves working memory, it seems to leave conscious awareness at the same instant, a link drawing fresh attention across psychology, philosophy, and neuroscience. Scuba-Diving Cyborg Cockroaches Now for the wild one. Scientists have built tiny diving suits that let Madagascar hissing cockroaches survive underwater for up to three hours, while an unequipped roach suffocates in minutes. The 3D-printed suit feeds oxygen through tubes into the insect’s breathing holes, called spiracles, using a chemical generator with no electronics. This lab already steered the roaches with electrodes, so the diving suit is the new trick on top. Researchers pitch it for search and rescue, though Cochrane notes the reality of the spy bug has already arrived. Quantum Time Runs Backward at Los Alamos Next, a genuine brain-bender. Physicists at Los Alamos, led by Luis Pedro García-Pintos, found a way to make a quantum system look like it is running backward in time. To be clear, time is not literally reversing. Precise measurements just make the system’s evolution appear to unfold in reverse. The useful part is energy: measurement itself becomes a resource in what they call a continuous measurement engine. Cochrane admits the paper drifted further from his reality the more he read. Tall Trees Shrug Off Drought A new study in Science overturns some textbook wisdom. For years, the assumption held that taller trees suffer more in drought because they must lift water higher. However, researchers studying dipterocarps in Southeast Asia found that trees topping seventy meters slowed their growth by about the same amount as short ones during the 2023-2024 El Niño drought. The trick is plumbing: a seventy-meter tree grows base vessels roughly twice as wide as a ten-meter tree, so the real driver of drought stress is subtler than raw height. The Energy Department Purges Conservation Pages This next one frustrates Cochrane. The US Department of Energy deleted roughly 6,000 web pages about energy conservation, and the timing is brutal during a record heatwave. The move followed backlash over New York Mayor Zohran Mamdani urging residents to ease strain on the grid. Fortunately, the Internet Archive and its Wayback Machine preserved the pages before they vanished. For Cochrane, deleting that kind of public information simply does not make sense. Webb’s Puzzling New Universe Heading to space, Quanta Magazine explores how the James Webb Space Telescope keeps finding early-universe objects that should not exist. Those include black holes that grew enormous too fast and hundreds of mysterious “little red dots” around 650 million years after the Big Bang. As astrophysicist Rachel Somerville of the Flatiron Institute puts it, scientists have “almost gone from having too many early galaxies to having too many theories.” The hard part now is figuring out which theory is right. NASA’s Emergency Telescope Rescue NASA has a rescue mission underway for the Swift Observatory, a 2004 telescope that studies gamma-ray bursts. Recent solar storms puffed up Earth’s atmosphere, and the added drag has dragged Swift’s orbit down to about 224 miles, low enough to risk burning up this year. To intervene, NASA enlisted Katalyst Space Technologies of Flagstaff, Arizona, whose LINK spacecraft launched Friday. The plan is to boost Swift back up to roughly 373 miles. A Gorgeous Aurora From Orbit Finally, Cochrane closes on something beautiful. ESA shared a stunning aurora captured from orbit, a shimmering green band of light rippling over the planet. If you have a few minutes, it is well worth a look. Cochrane wraps with housekeeping and a thank-you to GoDaddy for two decades of support, then signs off, wishing listeners a wonderful evening. The post Algorithmic Outing: When Your Feed Knows Before You Do #1869 appeared first on Geek News Central.

Dan Adams is a 13-year Microsoft 365 and SharePoint veteran who joined Andrew to talk about the often misunderstood world of SharePoint, the shift to Microsoft Graph, and his custom PowerShell module built which can assess and benchmark M365 environments. Dan breaks down why SharePoint gets such a bad reputation (spoiler: it's usually about who built it, not the platform), explains why "everything in M365 is SharePoint" isn't just a meme, and digs into how the Microsoft Graph API is changing the way admins interact with the platform. He also shares his experience going from longtime podcast listener to first-time guest, and closes with some honest advice about reaching out to people in the community. Key Takeaways: SharePoint's bad reputation often comes from poor initial architecture, not the platform itself. Getting the information structure right at the start has downstream effects on everything from Copilot to Purview to legal compliance, and PowerShell automation is only as useful as the metadata you've set up to work with. The Microsoft Graph API is consolidating how everything in M365 is accessed. Where older APIs like the SharePoint client-side object model might count a batch of 100 items as 100 separate API calls, Graph treats that same batch as a single call, which is a meaningful difference for performance and rate limiting. Dan's custom PowerShell module (SP'r Smash Bros Automation) automates M365 permission extraction to produce security assessments against CIS benchmarks and Microsoft Secure Score. Built as a practical tool for consultants and admins, it delivers a fast, standardized baseline of a tenant's security posture, featuring an optional AI sidecar to instantly generate personalized remediation plans. Guest Bio: Dan Adams is a Microsoft 365 and SharePoint Architect with 13 years of M365 consulting experience. Leveraging deep SharePoint and strategic information architecture expertise, he has led teams to deliver over 40 Fortune 500 intranets across industries ranging from healthcare to the NFL. He is the architect behind multiple award-winning portals, including two Ragan "Best Overall Intranet" winners. Dan is also an AI enthusiast, an advanced PowerShell expert, and the creator of the custom "SP'r Smash Bros Automation" module for Microsoft 365. Resource Links: Dan Adams on LinkedIn: https://www.linkedin.com/in/dan-adams-10887650/ Dan Adams on Github: https://github.com/sprsmashbrosautomation Connect with Andrew: https://andrewpla.tech/links PnP PowerShell: https://pnp.github.io/powershell/ PDQ Discord Community: https://discord.gg/pdq The PowerShell Podcast on YouTube: https://youtu.be/OLsTaKC9GmM PowerShell Wednesday Playlist: https://www.youtube.com/watch?v=XQT8lrn8hhU&list=PL1mL90yFExsix-L0havb8SbZXoYRPol0B

The Information's Laura Bratton talks with Rocket Drew about small firms ditching Salesforce for custom AI apps. We also talk with Grace Kay about Tesla's strict new weekly AI spending caps for engineers, and Aaron Holmes discusses Microsoft laying off 4,800 employees while overhauling its Copilot strategy.Articles discussed on this episode: https://www.theinformation.com/articles/small-firms-use-claude-quit-salesforcehttps://www.theinformation.com/articles/tesla-caps-employee-ai-spend-200-per-week-adoption-push https://www.theinformation.com/articles/microsoft-memo-details-ai-app-overhaul-earn-right-exist Subscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

What happens when a CFO realizes AI could replace her job, and decides to master it instead? In this episode, host Heather Cole sits down with Kevina Purmanund, CFO of the 1826 Group, live from the FEI Financial Leaders Forum in San Antonio. Purmanund shares how a single conversation with an investor sparked her AI journey, how she now runs ChatGPT, Claude, and Copilot side by side to compare results, and how a revenue-per-head report that used to take a week now takes 30 minutes. She also opens up about the mistakes AI has caused, the review process she built to catch them, and how she brought a skeptical accounting team along with weekly demos and hands-on projects. Along the way, they cover data security and compliance, what to look for in AI training, and why investing in coaching and peer networks has been just as important to her growth as any AI tool. Whether you are just starting to experiment or already building your own tools, this conversation offers a candid look at what it takes to lead through change.Special Guest: Kevina Purmanund.

What if the biggest obstacle to successful AI adoption isn't the technology at all, but the state of your data and the way work gets done inside your business? In this episode, I speak with Jim Spignardo, Director of Cloud Strategy & AI Enablement at ProArch, about why so many AI initiatives struggle to deliver lasting value and what business leaders should be doing before deploying the next AI tool. After more than 25 years working across networking, cloud, cybersecurity, and enterprise technology, Jim has seen plenty of technology trends come and go. His perspective on AI is refreshingly grounded in experience rather than headlines. Instead of focusing on the latest models or features, he explains why data governance, business processes, and user adoption remain the biggest factors in determining whether AI succeeds or fails. One of the topics that stood out for me was Jim's definition of AI enablement. Rather than viewing AI as another application to deploy, he argues that real value comes from embedding AI into everyday workflows and helping people rethink how work is performed. That means identifying repetitive tasks, improving decision making, and creating measurable outcomes that executives can clearly understand. We also discuss why many businesses are carrying years of technical debt into their AI initiatives. Poor data quality, outdated processes, and unclear ownership can all limit the effectiveness of AI, regardless of how advanced the underlying technology may be. Jim explains why companies that invest time in cleaning and governing their data today will be far better positioned to build reliable AI systems tomorrow. Another fascinating part of our conversation focuses on ProArch's own AI adoption journey with Microsoft 365 Copilot. Rather than attempting a company-wide rollout overnight, Jim describes a phased approach built around real use cases, structured training, internal champions, and measurable success. It's a practical roadmap that many technology leaders could adapt inside their own businesses. We also tackle one of the biggest concerns surrounding AI: jobs. Jim believes AI should be viewed as a way to augment people rather than replace them, allowing employees to spend less time on repetitive administrative work and more time applying creativity, expertise, and critical thinking where it delivers the greatest business value. If you're responsible for technology strategy, cloud transformation, or AI adoption, this conversation offers practical advice on avoiding common mistakes while building a stronger foundation for long-term success. How prepared is your business for enterprise AI, and have you addressed the data, governance, and cultural challenges before expecting AI to deliver measurable results?

The Road to LagunaIn this Willy's Gasser 441 Episode; Chris rubs his seats, Chrissy sits in a field, Tim eats oysters and while Mental does not break 150, but he also did not get kicked out (again). Really, the crew dives into the upcoming lottery announcement for the 20th anniversary celebration race at WeatherTech Raceway Laguna Seca—a once-in-a-generation 24 Hours of LeMons event with an absurdly competitive selection process and massive national interest.That's right! The countdown is on for one of the most anticipated grassroots racing events ever: the 20th anniversary celebration at WeatherTech Raceway Laguna Seca. So the team breaks down everything you need to know about the upcoming race lottery, what it means if you get selected, and what to do if you don't—because either way, you're probably still going to California. But this isn't just about racing. It's about the journey.From there, the episode turns into a full-blown cross-country motorsport pilgrimage guide, covering:- Classic racing museums worth detouring for (Peterson, IMS, Henry Ford)- Route 66 nostalgia for cross-country drivers -Copilot strategy, snacks, audiobooks, and keeping drivers alive.The conversation expands into a survival manual for hauling race cars cross-country, including:- Trailer safety, sway control, and pre-trip inspections- Wind zones in the Rockies, desert crossings, and and sketchy mountain passes- Fuel planning in long empty stretches (New Mexico, Arizona, West Texas)- GPS towing modes and avoiding trailer-unfriendly roads (PCH warnings)- Why I-40 might save your sanity vs. the chaos of I-70- What NOT to do with a race trailer on scenic highways- How to plan food, sleep, and sanity for multi-day haulsFinally, they zoom into Laguna Seca logistics and lifestyle planning:- Camping inside the track (highly recommended, sells out fast)- Nearby RV parks, hotels in Salinas/Seaside- Classic Monterey region attractions: Cannery Row, 17-Mile Drive, Carmel, Monterey Bay Aquarium, Route 66 nostalgia connections for inbound travelers- Why Laguna Seca is a bucket-list track (corkscrew, history, elevation drop, ocean views)- What to do if you don't get selected (spectate, Lucky Dog at Chuckwalla, HPDE options)- Multi-track “racing vacation stacking” (Laguna → Sonoma → Hooked on Driving events)- Deep-dive travel planning for racers towing across the U.S.It ends with classic Everyone Racers chaos: road trip survival humor, copilot strategy, snacks philosophy, and stories of trackside organization (including the legendary “Chrissy restoring order at Laguna” anecdote).Whether you're racing, spectating, or just dreaming about it—this is the roadmap to getting there.Hot Wheels GT-40 runs 13,549 scale miles at 111 mph (Steven Edelstein @ the drive) https://www.thedrive.com/news/weird-experiment-this-hot-wheels-car-drove-13459-scale-miles-in-five-daysCarvana Moving Into Defunct Dealerships. (Natalie Neff @ Autoweek) https://www.autoweek.com/news/a71614585/carvana-new-car-dealership-move/23 Ft Banana Car keeps getting hassled by the man! (Dan Mihalascu @ Autoblog) https://www.autoblog.com/news/americas-most-pulled-over-driver-is-a-man-in-a-giant-banana2006 Chevy Cobalt is only $7500 on Racing Junk https://www.racingjunk.com/super-touring/184806724/2006-cobalt-nasa-scca-luck-dog-.html?category_id=4&np_offset=29Get Panda Planner! Seriously, it's $30 bucks man. https://www.panda-planner.com/Panda Planner How To YouTube; https://www.youtube.com/watch?v=-G7zntrrMpMJoin our F1 Fantasy League https://fantasygp.com/leagues/ Use code 74259541 to join in the funThose cool light number panels from Amazon https://a.co/d/9wDuvek2026 Lemons Rally Schedule https://24hoursoflemons.com/lemons-rally/ ⁠https://www.youtube.com/channel/UCPrTs8wdzydOqbpWZ_y-xEA ⁠ - Our YouTube

In today's Cloud Wars Minute, I explore Microsoft's shift to usage-based Copilot Cowork pricing and what it reveals about the changing economics of enterprise AI. Highlights 00:10 — Microsoft is moving Copilot Cowork from a fixed-price subscription model to usage-based pricing, and this is really reflecting the fact that heavy users are racking up massive compute costs compared to others. 00:55 — More and more, the focus is shifting to how organizations can scale those (AI) capabilities in a way that's financially stable, but beyond that, Microsoft has also said that it's considering a Microsoft-hosted version of DeepSeek as a lower-cost model alternative. 01:16 — Right now, at the moment, Copilot Cowork workloads are powered by models from OpenAI and Anthropic. We should expect to hear from Microsoft regarding DeepSeek, or another low-cost model choice, within the coming weeks. 01:32 — So, what are we really seeing here? Well, Microsoft's AI strategy is evolving beyond simply offering access to the most powerful models. Increasingly, it's about giving customers the right balance of performance, economics, and choice. 01:49 — This is also highlighting, for me, a big divide between how governments and businesses view the AI race. Governments often frame this AI race as a competition between nations, but enterprises are more likely to focus on which models deliver the best outcomes at the lowest cost for their customers. Visit Cloud Wars for more.

All frontier AI models are reportedly delayed. ⏳New reports show that frontier models there were supposed to be released this month like GPT-5.6 and Gemini 3.5 Pro have been delayed as a result of the ongoing Anthropic vs. U.S. Government dispute. So while we may have to wait a few more weeks for SOTA AI models, we DID get a ton of new AI features and model updates that are available now. Tune in as we dish the 7 new AI features that can change your workflow today. Claude Tag, Gemini Home, Copilot Excel Skills and 7 other AI Features Available Today you Should Be Using — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT 5.5 Instant Model Upgrade DetailsGoogle Finance AI Portfolio Tracker LaunchGemini-Powered Google Smart Speaker ReleaseClaude Tag Collaboration in Slack ExplainedCanva Grow 2.0 Automated Marketing PlatformGemini in Chrome Select from Screen FeatureMicrosoft Copilot Skills Automation in ExcelTimestamps:00:00 Upcoming AI Model Releases Delayed05:44 Switching between AI models07:15 AI-powered portfolio analysis tools12:51 Setting tasks with voice commands15:20 Introducing Claude team plan17:55 Discussing Anthropic's new feature21:50 Canva's New Feature at Cannes25:11 New Chrome Feature Overview28:45 Using Copilot skills in Excel31:33 Show schedule and subscribingKeywords: GPT 5.5 Instant, OpenAI, AI model update, conversational AI, large language models, Gemini 3.5 Pro, Google AI, Anthropic, Claude Tag, Slack integration, Claude Enterprise, Claude Team Plan, Claude Slack app, multiplayer AI in Slack, channel manager AI, proactive AI assistant, Google Finance app, portfolio tracking, AI research tool, finance AI, Android AI apps, iOS AI rollout, AI-powered key moments, smart speakers, Gemini for Home Assistant, Google smart speaker, natural language conversations, Siri, Alexa Plus, bidirectional voice mode, Google Calendar integration, AI home assistant, Canva Grow 2.0, performance marketing AI, ad automation, campaign optimization AI, Magic Layers integration, LinkedIn ads, TikTok ads, Meta ads, Gemini in Chrome, select from screen, computer use capabilities, Gemini 3.5 Flash, Chrome AI features, Microsoft Copilot, Excel AI, Copilot skills, reusable Copilot workflows, finance skills in Excel, business intelligence AI, custom Excel skills, markdown skills for AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Chase Idleman, Founder & CEO, Arlow "Caregiving Gets an AI Co-Pilot" full 812 Wed, 01 Jul 2026 00:23:15 +0000 m9ZvKfqsc0QVLqfDmFNGfIpCFjOe8ObT business CEO Spotlight business Chase Idleman, Founder & CEO, Arlow "Caregiving Gets an AI Co-Pilot" David Johnson CEO Spotlight 2024 © 2021 Audacy, Inc. Business https://player.amperwavep

Father Hudgins' homily: God is Not My Co-Pilot

Looks like it’s going to be a long, hot cybersec summer. The latest news roundup covers how Microsoft 365 Copilot got turned into a data exfiltration tool, why the FortiBleed attack is about much more than compromised firewalls, and how North Korea exploited a single npm maintainer account to poison more than a hundred software... Read more »

Looks like it’s going to be a long, hot cybersec summer. The latest news roundup covers how Microsoft 365 Copilot got turned into a data exfiltration tool, why the FortiBleed attack is about much more than compromised firewalls, and how North Korea exploited a single npm maintainer account to poison more than a hundred software... Read more »

OpenAI has released GPT-5.6, but the majority of us will have to wait. ⌚After the Anthropic vs. U.S. Government feud, it now looks like we'll have to wait for frontier models. That wasn't the only big AI news headline that might change your company's AI strategy. Anthropic got the green light to roll out Mythos 5 to a select few, Google reportedly extended its strike team to catch up on coding and more. OpenAI's limited release of GPT-5.6, Mythos starts slow reinstatement, OpenAI gets spicy and more AI news -- An Everyday AI chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI GPT-5.6 Limited Release ExplainedOpenAI Sol, Terra, Luna Model NamingUS Government Restrictions on AI RolloutsAnthropic Mythos 5 Access and StandoffAnthropic Fable 5 Suspension DetailsGoogle Gemini 3.5 Pro Release DelayedGoogle's AI Coding Mid-Training InitiativeRaiseUS Nonprofit: AI Workforce AdaptationAnthropic Accuses Alibaba of Model DistillationOpenAI & Broadcom Unveil Jalapeno AI ChipKey AI Industry Partnerships & Product LeaksTimestamps:00:00 OpenAI's GPT 5.6 limited release06:14 OpenAI's new model release details09:54 Access suspension and negotiations13:18 Google's AI strategy and delays16:33 Anticipating Gemini 3.5 Pro Release20:40 Accusations of AI model theft24:48 OpenAI and Broadcom chip partnership28:05 OpenAI's recent developments and updates29:56 OpenAI and AI weekly updatesKeywords: GPT-5.6, OpenAI, Anthropic, Mythos 5, Fable 5, Frontier models, Gemini 3.5 Pro, Google, model rollout, limited AI access, AI safety, US government AI regulation, Sol model, Terra model, Luna model, Max reasoning mode, Ultra mode, sub agents, advanced AI benchmarks, coding workflows, cybersecurity, third-party AI analysis, government licensing, AI model guardrails, AI model democratization, model naming scheme, model availability, AI model security, jailbreak resistance, safety filters, general model access, trusted testers, AI export control, national security, Anthropic pullback, supply chain risk, defense department, AI industry competition, talent loss, AI coding, mid training, engineering agents, AI strike team, RaiseUS nonprofit, workforce AI disruption, technology policy, industrial scale distillation, Alibaba, AI model theft, China-US tech tensions, distillation attacks, Jalapeno AI chip, Broadcom, AI inference, custom hardware, data center GPUs, Microsoft, Meta, Elastic compute, AI-powered career navigation, Slack Claude Tag, Canva Grow 2.0, Copilot skills, AI ad creation, AI automation, DigitalOcean plugin, Apple hardware AI, smart glasses, Vision Pro, portfolio tracking AI, Google Finance, home smart speakers, voice AI, GLM 5.2, open source AI, US labor market AI effects, AI job disruption, model leaks, government approval delays.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Master the new Microsoft Marketplace ecosystem. Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ Discover the tectonic shifts happening within the Microsoft ecosystem as Cyril Belikoff and Jon Yoo dive deep into the unification of the Microsoft Marketplace and the explosive rise of AI-driven commerce. This comprehensive discussion explores how the marketplace is transitioning from an incubation island to the mainland of Microsoft’s go-to-market strategy, allowing partners to tap into massive Azure consumption commitments. Learn how product-led growth, AI agents, and optimized digital flows are replacing traditional sales motions, making cloud marketplaces the default engine for scaling revenue in 2026 and beyond. https://youtu.be/cAeSIEXbnNo Key Takeaways Microsoft unified its various marketplaces into a single digital flywheel for customers to discover, try, and buy applications. Applications, such as Copilot certified agents, are contextually surfaced directly within Microsoft products to meet users in their flow of work. Customers are making massive Azure commitments, and purchasing full software stacks through the marketplace retires those commitments entirely. Cloud marketplaces have evolved from a secondary channel into the default go-to-market engine with triple-digit revenue growth. Partners must shift from deal-led transactions to product-led growth by optimizing their digital marketplace listings for AI and search engines. The future of software procurement will increasingly involve AI agents acting on behalf of organizations to seamlessly integrate multiple smaller applications. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags: Microsoft Marketplace, Azure commitments, AI agents, Frontier transformation, M365 Copilot, Foundry, digital flywheel, co-selling, product-led growth, ecosystem shift, SaaS distribution, REO, resale enabled offer, listing optimization, search engine optimization, agentic commerce, cloud go-to-market, revenue recognition, multi-party private offers, Hyperscalers Transcript: Cyril Belikoff and Jon Yoo Audio Podcast [00:00:00] Cyril Belikoff: Why do you have to outsource this or create this vi? Just edit the video right there yourself. Like why do you have to just go do the, as a marketer you want to create a beautiful piece of content, just go and create it. ’cause it can create it for you. Now [00:00:13] Jon Yoo: you can feel it happening. The ecosystem is shifting beneath us, the way Hyperscalers are partnering. [00:00:19] Jon Yoo: How AI is remaking the channel and what it means to win in 2026. [00:00:25] Vince Menzione: Welcome to The Ultimate Partner Podcast. I’m Vince Manzione, your host. [00:00:30] Jon Yoo: We just wrapped up two days in Bellevue with some of the sharpest partner leaders in the business, and what we heard wasn’t incremental, it was tectonic. In this series, we’re going deeper into these conversations, the insights, the frameworks, the real movement we’re seeing in this market right now, because being in the room changes everything and we’re bringing that room to you. [00:00:55] Vince Menzione: And I am thrilled actually for this next one. Uh, I’ve had this opportunity to spend a little bit of time with this gentleman before, and welcoming him back is a pleasure and an honor. Cyril Beov, the vice president. I’m gonna botch up your title ’cause I always say marketplaces, but it’s much more than that. [00:01:14] Vince Menzione: So come on up, zero. And we’re gonna have a conversation and Cyril is amongst other things at Microsoft. Good to see you, sir. Yeah, [00:01:24] Cyril Belikoff: you too, [00:01:25] Vince Menzione: uh, is responsible for the, the Microsoft marketplace. [00:01:29] Cyril Belikoff: Are these your notes here? [00:01:30] Vince Menzione: These are, um, what is that? Yeah, these is gonna be our, our questions, so we, yeah, I, I need help sometimes so prompting, but, uh, so great to have you. [00:01:38] Vince Menzione: So just for purposes of title and context, ’cause your role is much bigger than just marketplace. Yeah. And we’re, we’re gonna sit down and John, is this me? Yes. And then John’s gonna join us. [00:01:47] Cyril Belikoff: Okay. Great. [00:01:48] Joe, [00:01:48] Vince Menzione: well, we’re gonna get started and start having a conversation. And we’ve, we’ve done some of these things before. [00:01:53] Vince Menzione: I’ve, I’ve had, you had me on your stage Yes. In your event at Alyssa Taylor’s event. [00:01:57] Cyril Belikoff: Yes. [00:01:58] Vince Menzione: And then, uh, we’ve, we’ve done some nice things together on stage, both at, at our event in Redmond last year. Yes. Then at our big, uh, ignite breakfast back [00:02:07] Cyril Belikoff: and forth, we had Vince come to our wider org and sort of, uh, I got to do the reverse. [00:02:13] Cyril Belikoff: And so interview him in front of a bunch of, uh, 500 marketers on what do we have to think about for partners. And so he gave us sort of the what’s going on in the partner ecosystem, how to think about it as we think about it, our marketing. [00:02:26] Vince Menzione: And I tried to be candid and represent this group. [00:02:28] Cyril Belikoff: Yeah, that’s great. [00:02:29] Yeah. [00:02:30] Vince Menzione: Was wonderful. Thank you for doing that. [00:02:31] Cyril Belikoff: Yeah. [00:02:32] Vince Menzione: You, you work, you work in an amazing organization. Um, I’ve known Alyssa for many years as well, and you’re an incredible leader. And I just, I wanna frame this maybe with a conversation about, ’cause we’re gonna talk about what’s changed, but, but I think it’s still important for everybody in the room to understand what you did and what your team orchestrated around market. [00:02:52] Cyril Belikoff: Yeah, [00:02:52] Vince Menzione: because it was fragmented, it was in different organizations, it felt very dis disorganized, I guess. Yeah. For lack of a better word. [00:02:59] Cyril Belikoff: Yeah. Thank you. Um, essentially we took it from incubation Island to the mainland Microsoft. I love it. Uh, GTM [00:03:07] Vince Menzione: Yeah. [00:03:07] Cyril Belikoff: Is the simplest way to think about it. Um, and, uh, come September last year now, uh, we unified the, the, the, the many marketplaces. [00:03:19] Cyril Belikoff: Uh, whether it was an Azure marketplace or AppSource and others, and we created the new Microsoft marketplace. Yeah. So one single place for customers to come, discover, try, buy, and for partners, software companies and other NSIs to put their wares up. And, uh, it was the first step in a vision for us to create this digital flywheel for us to bring our customers and our partners together in a more, you know, automated way. [00:03:47] Vince Menzione: Which it, it sounds crazy when you think about it, right? Microsoft has always been like the partnership leader, the leader in the technology, and to have fragmented marketplaces before, right? Yeah. And so what clarity to bring that all together. [00:04:00] Cyril Belikoff: Yeah. It was a big, it was a big step for us and I think what we realized is that customers and partners were saying, Hey, uh, it’s all one place. [00:04:07] Cyril Belikoff: If I’m looking for a SaaS application or an agent or, and plug into teams or whatever it is. I just want to get it all in one spot. Uh, and, uh, and then we need you to connect us to your channel. [00:04:21] Vince Menzione: Yes. [00:04:21] Cyril Belikoff: Uh, and your partners and, uh, can you build out, you know, partner capabilities for that Connects channel to software companies, to, to customers in a digital flywheel way. [00:04:30] Cyril Belikoff: Um, one of the things we actually also announced at that time was this concept of what we call. The marketplace framework. So it’s not just the fact that we have this digital experience or web experience, but that, um, applications that go into the marketplace, depending on the type of applications they get contextually surfaced within Microsoft products. [00:04:53] Vince Menzione: Okay. [00:04:53] Cyril Belikoff: And so if you’re, [00:04:54] Vince Menzione: explain that for this Yeah. For me and for this crap. [00:04:57] Cyril Belikoff: Yeah. So if you are a, um, if you’re a co-pilot certified agent. M 365 copilot agent, you’ll be in the marketplace, but you’ll also be automatically surfaced inside the M 365 copilot, um, product. [00:05:11] Vince Menzione: Nice. [00:05:12] Cyril Belikoff: Same for, uh, large language models in foundry, add-ins in teams, those sort of things. [00:05:18] Cyril Belikoff: ’cause it’s one thing to be where people go to discover Tribu, but users also go into these stores, whether it’s a developer user or an end user. They go in the flow of their work and they want to move quickly. Yes. And so, uh, so they have access. We think that’s very attractive. And the feedback was, Hey, that’s quite differentiated. [00:05:35] Cyril Belikoff: ’cause we have, uh, hundreds of millions of customers in these products every day. [00:05:39] Vince Menzione: Yes. [00:05:39] Cyril Belikoff: And so giving our customers access, our partners access to it and improving their customer experience, um, has worked out well. [00:05:47] Vince Menzione: And something else you did too, because at one point, you know, we were talking about co-selling and single-threaded. [00:05:53] Vince Menzione: And Microsoft has this incredible ecosystem and channel. [00:05:57] Cyril Belikoff: Yes. [00:05:58] Vince Menzione: And it, it was totally disconnected from the whole marketplace strategy, right? Yes. Yeah. [00:06:03] Cyril Belikoff: Yeah. So we, uh, um, we launched, I think in, uh, sorry. At that time in September, we launched five of our largest distributors who were also federating the Microsoft marketplace into their marketplaces. [00:06:16] Cyril Belikoff: And then in the November timeframe at Microsoft Ignite, we launched resale enabled offer [00:06:23] Vince Menzione: RO, [00:06:23] Cyril Belikoff: which is REO, which is a new capability that is proven extremely popular, that connects the software company and the reseller, you know, um, to go and do more deals at scale faster. So [00:06:36] Vince Menzione: we have, we have four of the Es in the room, [00:06:38] Cyril Belikoff: right? [00:06:38] Vince Menzione: Some of the four at the top. Five or six. And then also one of your largest resellers software, one is here as well. [00:06:45] Cyril Belikoff: Yeah. Great. [00:06:46] Vince Menzione: Yeah. [00:06:47] Cyril Belikoff: Great. So it’s, uh, we’ve been busy. [00:06:48] Vince Menzione: Yeah. [00:06:49] Cyril Belikoff: Yeah. Like I said, um, uh, much more work to do. But we are moving from like this incubation project to mainland get it integrated into our core customer, go to market, uh, so that our, uh, software companies and partners have access to those customers. [00:07:03] Cyril Belikoff: And then integration, uh, with the channel. So [00:07:06] Vince Menzione: it’s been a lot happening these last 12 months. Uh. Then Frontier, let’s talk about Frontier. That’s another piece of this. [00:07:14] Cyril Belikoff: Yeah. I’m sure Steven touched on, uh, frontier Transformational or becoming Frontier or Frontier Firm. So probably not helpful to me rehash that. [00:07:23] Cyril Belikoff: I think in general. If you go to a Microsoft discussion or session and you don’t hear about frontier or Frontier transformation, please like, raise your hand and give feedback because that is, um, [00:07:34] Vince Menzione: I kept away from the word frontier with Steve. We were talking about it, but we weren’t using the term frontier. [00:07:38] Vince Menzione: Yeah. ’cause I feel like it gets overused. It’s, [00:07:40] Cyril Belikoff: yeah, it does. It’s, it’s sort of, um, what we try to do with it is articulate it in a way that it’s not just about AI for AI’s sake. [00:07:48] Vince Menzione: Yeah. [00:07:48] Cyril Belikoff: But it’s AI based on what the customer outcome is trying to, what the customer is trying to achieve on their outcome. Um, and so as part of that, of course, you know, agents, AI applications is a big part of what’s driving customers’ capability of, uh, to become frontier. [00:08:05] Cyril Belikoff: And, uh, the marketplace is part of that. ’cause they can either custom build that. Uh, or they can, you know, buy off the shelf, right? Uh, or, and actually in Combin they do mostly they do both, right? And so, um, in order to accelerate their ability to become more frontier, we have these, uh, partners that build, uh, third party solutions through a marketplace. [00:08:27] Cyril Belikoff: And then, uh, uh, those same partners or others that build bespoke solutions around that. So, um, a lot of momentum around, uh, AI apps and agencies, as you can imagine. Um, we have, I think, 5,000 plus AI apps and agents. [00:08:43] Vince Menzione: I was gonna ask you what you’re focused on now, but you, I think you’re tying into this now already. [00:08:47] Cyril Belikoff: Yeah. Um, so of course that’s important. [00:08:50] Vince Menzione: Yeah. [00:08:50] Cyril Belikoff: But really for us it’s about doubling down on driving customer, customer demand. How do we merchandise the right things that customers are looking for? How do we, uh, accelerate any of our flows? Like we will spend hours just looking at like the flow of one scenario. [00:09:07] Cyril Belikoff: Where is it getting stuck? How do we improve it? Um, and then how do we connect it to the channel? And, and what, what more things can we do like EO or multi-party private offers and the like, and we have. Probably an announcement a month in the next three or four months. [00:09:24] Vince Menzione: Oh, come on. Let’s, [00:09:24] Cyril Belikoff: that will, [00:09:25] Vince Menzione: I know, I know it’s early. [00:09:26] Vince Menzione: I know it’s early, but you, you’ve got some, I know you’ve got some things. Think [00:09:29] Cyril Belikoff: about the customer experience. Think about the channel integration and dream about [00:09:33] Vince Menzione: what maybe more of a global scale with some of the offerings, maybe, maybe. Um, so, you know, I, so I, the earnings, we talked about the earnings with Steven, but I thought that there was a very compelling number around the commitment number. [00:09:46] Vince Menzione: Yes. You and you run your Azure as part of your remit. We didn’t go through your entire remit. [00:09:50] Cyril Belikoff: Yep. [00:09:51] Vince Menzione: It’s not just marketplace. You also, you also own the Azure number. [00:09:53] Cyril Belikoff: Yep. [00:09:54] Vince Menzione: Let’s talk about that. [00:09:55] Cyril Belikoff: Yeah. Um. You know, it’s, it’s exciting times for customers. They want to do things not only with us, but with everyone in the room. [00:10:04] Cyril Belikoff: Um, and they are making very large commitments, huge commitments over the next two to three years to spend on Azure. Um, and so it’s now our joint jobs to go and help them identify the right business outcome and go and, you know, consume that commitment. It is just a commitment. It’s not actual. Consumption. [00:10:27] Cyril Belikoff: Yes. And so it’s all of our jobs to take advantage of that. The, the customers are saying, Hey, we have line of sight to the types of things we want to go do over the next two to three years. Uh, probably not everything is, you know, i’s dotted and t’s across, but they have line of sight to most of it. Um, and how do we go help them drive that? [00:10:46] Cyril Belikoff: Um, and so from an Azure perspective, obviously that’s very encouraging for us. It, it allows us to. Invest in more data centers and more capacity that we are doing as fast as we can. Um, and then, um, and then of course on marketplace, the marketplace can retire. [00:11:04] Vince Menzione: That’s [00:11:04] Cyril Belikoff: that Azure commitment. That’s, [00:11:05] Vince Menzione: I wanted to make sure [00:11:06] Cyril Belikoff: people understand that the, in fact, not only the Azure component from the marketplace, but the full software stack from the partner, uh, the software company retires the Azure commitment. [00:11:17] Cyril Belikoff: So if it’s. Uh, I’ll make it up if it’s, uh, a hundred bucks and it’s 50 50, it’s not 50 50, but, um, I won’t disclose any percentages, but let’s say it’s 50 50, it’s much more for the software company, by the way. Um, if it’s 50 50, it’s not just like the $50 for Azure that gets retired. It’s the entire a hundred dollars that gets retired on the customer commitment, commitment, which is great for the software company. [00:11:39] Cyril Belikoff: It’s also great for the customer that they can, you know. Bring that through, uh, to, uh, to their Azure commitment. And we do the same thing with our sellers. So the marketplace sales retire our sellers compensation. So we’re like checking every box so that there’s no friction in the system. So that, so the partner, the customer, our sellers, they’re all juiced to go and. [00:12:03] Cyril Belikoff: Deals with marketplace. [00:12:04] Vince Menzione: I, I hope everybody un understand. I mean, I understand this. I hope everybody else understand this too. ’cause I, I was, watch, you know, I, I, I watched LinkedIn and I see people post things and somebody made a comment about how difficult it was to use Microsoft Portal. And I was thinking to myself, do you realize that there’s, I’ll say 150 billion, but it’s probably a bigger number than that. [00:12:22] Vince Menzione: That’s a total addressable market available to you if you’re a Microsoft partner. You can access these customer commitments. [00:12:30] Cyril Belikoff: Oh yes. [00:12:30] Vince Menzione: If you bring your product on Mark over 400 now [00:12:32] Cyril Belikoff: Yeah. [00:12:33] Vince Menzione: You bring your product into the marketplace, you have access and the customer can retire that commitment. [00:12:38] Cyril Belikoff: Yeah. [00:12:39] Vince Menzione: Without having to justify a new cost justification. [00:12:41] Cyril Belikoff: Yeah. They don’t have to go to procurement. They don’t have to. Yeah. [00:12:44] Vince Menzione: Yeah. I mean, it’s a huge opportunity. [00:12:46] Cyril Belikoff: Yeah. [00:12:46] Vince Menzione: So, um, so you’ve been focused on quite a bit. We wanted to invite John on stage. [00:12:53] Cyril Belikoff: Great. [00:12:53] Vince Menzione: John, you from Sugar is here. Where’s John? Is John in the house? Where’s John? [00:12:57] Cyril Belikoff: There he is. [00:12:58] Vince Menzione: Who’s also an expert in Marketplace. [00:13:00] Vince Menzione: A great friend of Ultimate Partner. Great. Hey, how’s it going? He’s a great partner of Ultimate Partner. Great to see you, sir. All the way from San Fran. Oh, actually we’re on your side of the coast, so, uh, it’s long. He looks [00:13:12] Jon Yoo: cooler than us [00:13:12] Vince Menzione: though. He, he always looks cool. I said that about time. [00:13:15] Jon Yoo: You know, I gotta be comfortable. [00:13:16] Jon Yoo: I gotta be comfortable. [00:13:18] Vince Menzione: So John, good to, good to have you. You’re thanks for having us. You guys are like, every time I see a post from you, you’re moving into a new office space ’cause you’ve outgrown your office space. [00:13:26] Jon Yoo: Yeah, we’re, we’re really excited about the new office. We have hvac, which is a, a big, big, uh, it’s a big thing. [00:13:31] Jon Yoo: Improvements, high ceilings, you know, the whole works h help [00:13:36] Cyril Belikoff: sometimes. Yeah, [00:13:37] Jon Yoo: yeah, yeah, yeah. We, we have our, uh, office opening party if anyone’s an SF on Ally first. [00:13:41] Vince Menzione: Nice. Nice. Yeah. May, may, May 21st. May 21st. That’s right. Well, so, so you’ve been, you’ve had like a front row seat to all of this. I would love to get your perspective on what you’re seeing across partners and what’s changed over the last 12 months. [00:13:55] Jon Yoo: Yeah, so, uh, for those that don’t know, um, sugar is a, uh, a revenue platform for cloud marketplaces and co-selling. Um, so we partner very closely with Microsoft as well as either hyperscalers and other marketplaces like Snowflake, Alibaba, et cetera. And what we, what, what I’m seeing is a couple things. One marketplace is becoming a default to go to market engine. [00:14:17] Jon Yoo: So, you know, I think a lot of people see the stats about how the, the GMV, so, you know, the, the throughput through these marketplaces have been doubling. We’re seeing that in our data as well. So we’re seeing triple digit revenue growth from marketplaces. We’re seeing companies who, you know, maybe the earlier end of marketplaces were infra platform layer of software that used to really adopt it. [00:14:37] Jon Yoo: Now you’re seeing. You know, explosion in a business application layer of companies as well. And so that’s super exciting. I’d say the second piece is channel players are getting more and more involved. Um, I think, you know, I’m the Silicon Valley SaaS bubble, uh, or the AI bubble, so to speak. And I didn’t know as much about the channel world and even these big AI companies. [00:14:59] Jon Yoo: I mean, you’re seeing unprecedented, unprecedented demand, uh, for these, you know, LMS or these AI biz apps. And despite that, they are really working with a partner ecosystem because you’re realizing that most of the world do not really know how to adopt ai. Yeah. And they’re really leaning on expertise. [00:15:18] Jon Yoo: And these AI companies, AI native companies, are looking to channel partners who have these. You know, relationships with their end buyers on how to deliver change managements, how to deliver enablement, not just a system integration site. [00:15:32] Vince Menzione: And they’re also looking to the platform or platforms in the case, Microsoft here also. [00:15:36] Vince Menzione: Right. Which, because like what, where am I gonna do just go out and buy philanthropic or Claude or whatever? I need that to be integrated into my enterprise as well. Right, exactly. [00:15:46] Jon Yoo: So we’re definitely seeing like more adoption of Microsoft Foundry, for example, as people think about security and governance and whatnot. [00:15:52] Vince Menzione: Yeah. Very cool. Any comments on, on? [00:15:55] Cyril Belikoff: Yeah, that makes absolute sense. It’s, uh, um, you know, lots of layers to AI from data. The a, the AI layer itself, the application layer, uh, and innovations happening at all of those pieces of the stack. Um, and so when a software company is trying to, you know, uh, modernize their thought process or build new. [00:16:19] Cyril Belikoff: They ha they have to think about all of those components. Foundry obviously is the AI layer and it provides them with capability to be agile and move quickly and do compliance and, and snap into an organization’s, um, architecture. But it’s the same applies to data, like how it’s fine to have AI but doesn’t, doesn’t do anything without data. [00:16:40] Vince Menzione: Right. [00:16:40] Cyril Belikoff: And so then how do they get data in the cloud? Um, uh, [00:16:44] Vince Menzione: and then how do you security [00:16:45] Cyril Belikoff: govern and govern, right? And how you secure govern, you know, all those sort of things. So obviously we have first party experiences, but they have partners with, um, their own solutions. They’re built on top of, [00:16:53] Vince Menzione: yeah. [00:16:53] Cyril Belikoff: Those Microsoft layers. And, uh, you know, like John says, lots of momentum. [00:16:58] Vince Menzione: So let’s talk about the maturity curve. Like walk us through it. Where do you see partners in this room sitting today? And what does it take to move for them to move to the next stage? Like, what would be your guidance for, for this group? [00:17:11] Jon Yoo: So, you know, we, we work across the entire spectrum of companies. You know, we work with the, the largest enterprises who’ve done billions through these marketplaces like Snowflake, workday, to leading AI companies like Glean or OpenAI, uh, to earlier stage startups who are completely new to marketplaces and really look for, for guidance around what do I do in my first 90 days? [00:17:33] Jon Yoo: How do I get the attention of Microsoft sellers, or how do I. Optimize my marketplace operations so that we can be discovered, uh, really easily on Microsoft Marketplace and others. And the, the way that I think about it is companies first come on, because it is buyer driven oftentimes. So, I mean, that’s just the truth of the nature of you have these big enterprises that want to, you know, burn down their Mac agreements, for example, and that’s how they get started. [00:17:59] Jon Yoo: And or a, a as like this whole space maturing, you’re seeing. A new CRO come in and they’ve done this at X, Y, Z companies and they want to bring that playbook over. But then as they start to do a couple deals through these marketplaces, they think, and this is start of the the flywheel, right? Hey, what do I need for co-selling? [00:18:19] Jon Yoo: And there are systems, you know, integrations and playbooks that need to be done well. Once you do have co-selling figured out, how do I now know which opportunities to co-sell? So we have things like intense signals to be able to. Help them, you know, help overlay a cloud, go to market lens over your existing pipeline. [00:18:36] Jon Yoo: And then now it becomes less of a partnership initiative and actually elevates up to the CRO initiative. And across each of those, um, layers, uh, you have different automation needs because once you actually start to get the flywheel going, it becomes. Holy crap. Now I’m doing 10, 20, 30, 50% of my revenue through these market, you know, through, through marketplace. [00:18:58] Jon Yoo: And it’s creating different data pipelines of work to be done. And now I have to figure out my finance angle of how do I do revenue recognition through these indirect channels. And so that, that, that is kind of the maturity covers. I think about it when you try to retrofit like, uh, all the automation up front, it doesn’t go as well. [00:19:16] Jon Yoo: You have to do a crawl, walk, run approach so that you can also build and bring the rest of the organization with you. So if I look at ’em to the, you know, there’s some familiar faces, some folks that probably are wondering some new faces [00:19:28] Vince Menzione: as well. [00:19:29] Jon Yoo: Yeah. What, what Microsoft marketplace or what marketplace even is. [00:19:33] Jon Yoo: I’d probably say people are in that transformation bucket of, Hey, I’ve done a couple of deals, we’re in this early stages of co-selling. Now I, now I gotta figure out how to supercharge it because this is kind of the future, you know, we can talk more about agenta commerce and whatnot, but, um, I think a lot of people are figuring it out than looking for. [00:19:51] Jon Yoo: For guidance here, [00:19:53] Vince Menzione: zero. [00:19:55] Cyril Belikoff: Yeah. You know, I would say, um, I’ll get what I call tactical yet strategic. [00:20:01] Vince Menzione: Okay. [00:20:01] Cyril Belikoff: Which just think about product-led growth. Yeah. Just think about, uh, similar to the consumer world, if you wanna sell something, you need search engine optimization. If you are thinking about these marketplaces and Microsoft marketplace being one, how are you optimizing your listing so that when a user goes into like the search bar, it’s optimized to bring back the results that make sense to you? [00:20:29] Cyril Belikoff: I think historically we’ve had scenarios where some partners have used the marketplace primarily as like a transaction thing. They’ve done the deal, but then they’re transacted on the marketplace ’cause they wanna retire the the Azure commitment. And that is changing to be sort of product led and marketplace led, uh, versus deal led. [00:20:49] Cyril Belikoff: Uh, but you cannot have a generic one line sentence in your listing. You will not be surfaced unless the customer literally knows your name and will search for you. You’ll not be surfaced if they search for a particular category healthcare app that does something right. And if that’s your thing, you should have the right keywords, you have the right images, have the right videos, and we believed in it so much. [00:21:14] Cyril Belikoff: We actually built a listing optimization AI tool that will auto look at your listing. And based on our best practices, and we know what our search engine is doing, we will make recommendations to you on how to improve. Listing. And so it’s not like a read a document as a best practice. It actually will be an ai, uh, customized tool for your particular listing. [00:21:37] Cyril Belikoff: So lean into those types of things, you know, to, as John says, says, think about the digital flow. This over time will become much more of your, of your business. So make sure you’re thinking about, you know, if someone’s on the marketplace and they decide to trial something for you, how, how are you following up? [00:21:56] Cyril Belikoff: Like, how do you take the next steps? Um, maybe you, maybe you working with a reseller and you don’t have your own sellers, but how do you wiring that into your resellers so your resellers are following up? Or if you have your own sellers, you know, your own sellers are doing it. So you have to sort of digitize your thinking on sales and marketing in this new market, commercial marketplace world, versus in the same way we would’ve done in like the consumer marketplace on Amazon or, you know, um, as you search something on Google. [00:22:26] Cyril Belikoff: Maybe bing. Um, so, um, yeah, yeah. This [00:22:29] Vince Menzione: size. B Come on, come on. [00:22:31] Cyril Belikoff: I [00:22:31] Vince Menzione: had bing. [00:22:32] Cyril Belikoff: Um, [00:22:33] Jon Yoo: I do wanna double click on that, which is when, when we, you know, I talk about like, hey, a lot of it’s buyer driven. A lot of people think about private offers, but then the marketplace offers. But the reality actually, when we look at the data is that there’s a lot more self-service [00:22:46] Vince Menzione: correct [00:22:47] Jon Yoo: offers than there are what they call private offers. [00:22:50] Jon Yoo: So where there’s deal led and that, that, that, that shift. It’s super exciting to see where now these marketplaces are becoming where buyers or users go to discover new products. Let alone, you know, in the future where let’s say there’s an AI agent that has some reward seeking function, and in order to do its job, it needs to go purchase a tool marketplace might be the channel where this happens, which is all the reason why that your listing does need to be optimized. [00:23:16] Jon Yoo: So that one, the agent knows exactly what your tool does and it can match against. Reward. And then second, you have to win the a EO race, right? Yeah. Of, of how you show up in these AI engines. So just wanted to double click on how important that is. Yeah. [00:23:31] Cyril Belikoff: Makes, makes total sense. And we’re, we’re seeing that shift from private office to having a public listed price and a, a public offer as well. [00:23:39] Cyril Belikoff: And so we’re, we’re ourselves investing in our own marketing demand generation. Just in the last three to four months because we’ve seen that taking off and as soon as we saw the signal, we’re like, oh, we should pour fuel on that fire. Because if, if we see organically customers don’t do it, we should, you know, we should go after that and help them understand that we’re here. [00:23:58] Cyril Belikoff: And, uh, if it’s working for some that are doing it by themselves, it’ll work for others and we’re seeing really, really good results. Um, so yeah, get your listing optimized. Think about your digital flows. As John says, the flows of the future are probably agentic wise, maybe not even a human coming to the Microsoft marketplace. [00:24:17] Cyril Belikoff: So you gotta be thinking, not now, it’s okay. You have time. Um, but in the future, you know, six months from now, that quite easily is a scenario. So you really have to start thinking about those, uh, those, uh, digital flows. [00:24:29] Vince Menzione: Yeah. It’s so insightful. Well, it’s what you call product led growth, basically. Yes. And agent led growth. [00:24:35] Vince Menzione: Yes. Right. In some respects. So this is where like we need to think about that. The future model where the agent comes in and actually does the purchasing. We’re not there yet, are we? [00:24:45] Jon Yoo: No. With some products, you know, um, especially, especially if it’s like developer tools. We’re starting to see some of that, but, uh, no one’s gonna buy a cybersecurity solution. [00:24:55] Jon Yoo: Um, that’s seven figures or an agent’s not gonna do that. Right. But the eng the, the search functions are a little bit changing. [00:25:03] Vince Menzione: Yeah. So a lot of ai, you know, we had Steven Boyle on earlier, we were talking about ai, AI natives, you know, that’s Jason Grey’s organization does a lot of work in that area. How do these organizations need to think and act and how do they leverage the cloud marketplaces? [00:25:17] Vince Menzione: Or how do le how do marketplaces fit into the equation? ’cause most of them are coming from a different like paradigm or mindset. [00:25:24] Jon Yoo: I mean, uh, it’s like the number one question, you know, I’ll give a little personal story of like, I get a lot of parking tickets, uh, and I don’t know how to pay off my late fees. [00:25:34] Jon Yoo: So we set up a little open claw that will actually go and ask me questions, and it actually pays off my parking tickets on my behalf. Um, so, so, so, you know, on the other hand, like there, there’s layers to it, right? It could be like layer one, I ask ai, Hey, how do I pay off my parking tickets? Layer two could be. [00:25:52] Jon Yoo: Hey, you know, what’s the best way for me to structure my cadence to pay off the parking tickets? And then layer three is like, Hey, AI, proactively check if I have parking tickets and go pay it on my behalf. Here’s my credit card information, you know, stored in a secure vault. So, uh, what, what I mean by a native as a company bring that analogy is, uh, bringing it at its core. [00:26:12] Jon Yoo: So like a little for, for sugar. We’ve spent the past six months optimizing around our entire, like company brain where we are storing all the context. To a singular, singular place that is queryable, that there’s no coordination tax between teams. Our entire product development process actually is automated where we have multiple agents debating one another, PRDs to code generation, code review, uh, you know, security, qa, et cetera, et cetera. [00:26:40] Jon Yoo: And then there’s humans in the loop across the process. So I would actually think about when we, when we fit that into, into marketplaces, it’s not just thinking about who’s going to send the offers or who’s gonna do the co-sell, or who’s gonna X, Y, Z, but how do you bring all that together so that your sales reps and your partnership person and Microsoft all has to share context in a given deal and it’s done automatically without, you know, back office folks having to update what partner led or partner influence means and reporting things in a, in an old way. [00:27:11] Jon Yoo: So it’s almost re-imagining. Entire workflow, given everyone should have open context of what’s going on in a given deal. So let’s say maybe a hand wavy way of answering that question. Yeah. But it does mean that we should be re-imagining, uh, what the job to be done is, uh, very fundamentally [00:27:28] Vince Menzione: cy, how are you thinking about it since you’re building the, the, the toolkit at Microsoft? [00:27:32] Cyril Belikoff: Yeah. Um, yeah. Well, John says absolutely is right, particularly around marketplace and how that sort of flow and ecosystem will work. Um, in addition to that, it’s. Not only about how marketplace or about developers ’cause the developer, uh, scenario or persona was the first globally to see the value of AI and agents in the flow of their work. [00:27:55] Cyril Belikoff: It was the first to like, oh, one developer can now do much more. I can be empowered, I can build agents to work on my behalf. I can, uh, I can be an architect instead of a hands-on coder. Right. It’s changed the profile of what developers do exactly what. Uh, John mentioned what he’s doing himself. That’s just one profile of a user. [00:28:17] Cyril Belikoff: Th there are many other profiles. A sales person, a marketer, a uh, CFO team, hr. Each of these are literally going through the same transformation. They’re one beat behind developers because developers, you know, was really tech enabled and tech stack driven, and the, and the opportunity was, was obvious quite quickly. [00:28:39] Cyril Belikoff: These are coming really quickly. This is not like the internet adoption cycle that took many multiple years. This is like, we’re talking months. So, and even inside Microsoft, we have our own, what we call, uh, frontier Marketing Internal Initiative to re, um, rewire marketers and how they go about their daily job and stop doing it this way and do it this way. [00:29:04] Cyril Belikoff: Just pick up M 365 copilot with. Coworking Claude, uh, embedded and just go do the work. Why do you have to outsource this or create this? Just edit the video right there yourself. Like, why do you have to just go do the, as a marketer you want to create a beautiful piece of content, just go and create it. [00:29:21] Cyril Belikoff: ’cause it can create it for you now. [00:29:22] Vince Menzione: Yeah, [00:29:23] Cyril Belikoff: three months ago, literally three months ago, it couldn’t do that. And so what is it gonna be in two months for a marketer or a salesperson or finance person? I mean, just co-pilot in Excel. What that is doing to the financial business is in, like if you, any financial person will tell you they live and breathe through in Excel, like it’s just, it’s their equivalent of, it runs [00:29:44] Vince Menzione: most businesses [00:29:44] Cyril Belikoff: their dev tool, right? [00:29:45] Cyril Belikoff: It’s their thing. It’s really [00:29:46] Vince Menzione: is. [00:29:47] Cyril Belikoff: So this is happening over and over again. Again, if you can package those things up and package a package, that piece of IP on a marketplace is, is not only gonna be a big system, it could be a very, very small piece of. Functionality in a flow for a marketer or a salesperson that is so valuable that can be solved many times on a marketplace. [00:30:08] Cyril Belikoff: And in many cases, everyone’s a software company at this point. Everybody can go and package something up. And so I would be stunned if we don’t see cross pollination from system integrators to channel partners, all just publishing on marketplaces based on, oh, I’ve done this thing four times. I cannot do it 400 times. [00:30:26] Cyril Belikoff: Let me just package it up and put it on a marketplace. So. Yeah, I’m sure you know, John alluded to that. It’s, there’s a lot of exciting times. [00:30:33] Vince Menzione: No, the future [00:30:33] Jon Yoo: is [00:30:33] Vince Menzione: great. What do you [00:30:34] Jon Yoo: totally, I mean, it’s, it’s a case of like, how do, what does being marketplace native also mean? [00:30:38] Cyril Belikoff: Yes. [00:30:38] Jon Yoo: You know, and not, I feel like I’ve seen so many people just use it as a, Hey, we’re opportunistically there and if we get some leads out of it, great. [00:30:45] Jon Yoo: Or if there’s some deals, great, but they’re not really leaning in and being marketplace native the way, you know, and right now there’s, this might be uncomfortable, but there’s no excuses. You know, like creating a partner marketing content with your brand guidelines. It should not take so many time. Or it’s a 10 minute exercise. [00:31:02] Jon Yoo: Exactly. Exactly. Three [00:31:03] Cyril Belikoff: prompts. [00:31:05] Vince Menzione: It used to be that ops used to get involved because, oh, we, we know that they have a commitment. Let’s go run it through the marketplace. Right now, what you both have been suggesting here is it becomes a discoverable process. It becomes part of your normal go to market strategy, and you’re, you’re driving pr, product led growth and SEO and all the things you need to do running a a corporation and modern corporation today. [00:31:26] Cyril Belikoff: Yeah, [00:31:26] Vince Menzione: exactly. So, what’s the future like? Where, where do we go in 12 months with this? What do you think? What do you predict? We, we get out a Ouija board or a crystal ball here. What, what, what do we think? [00:31:38] Cyril Belikoff: I think more broadly in the industry, you’re gonna, some of the scenarios that John alluded to, agent to agent interactions, uh, many agents acting on behalf of humans and on behalf of organizations, uh, and doing. [00:31:55] Cyril Belikoff: Simple things and quite complex things. Uh, and those need to be, uh, managed carefully, uh, with, uh, the right, uh, engagements and built carefully. And in, in many cases, customers will look to partners that are quote unquote certified on, uh, uh, HyperCloud platform. Uh, as a way to get going quickly, but also get the, the quality that they need. [00:32:21] Cyril Belikoff: Um, and I think instead of buying this monolithic, massive application, I think we will see lots more of smaller applications being built that have cleaner open, uh, you know, MC, you know, MCP type agent interfaces that can just work together, uh, without, you know. More complicated integration work, [00:32:42] Vince Menzione: cobbled together your own solutions as opposed to big [00:32:45] Cyril Belikoff: monolithic [00:32:45] Vince Menzione: applications. [00:32:46] Cyril Belikoff: Yeah, there’ll be a much more agile, [00:32:48] Vince Menzione: yeah. [00:32:48] Cyril Belikoff: Uh, personalization. I mean, a lot of people saying SaaS is dead. It’s not quite dead. But I think that SaaS will get significantly more agile, more custom and more personal, uh, for, uh, for customers. [00:33:03] Jon Yoo: I, I would agree with that. Um, I mean, I’m biased, but I think marketplace are gonna be even more relevant than ever. [00:33:08] Jon Yoo: I mean, it’s already highly relevant, but, uh, as you, you know, I think in the past the, the narrative was, well, there’s a new generation of buyers and they’re millennials. They, they wanted, you know, uh, I always talk about consumer experience to B2B sales, you know, and, and now it’s like agents that’s that on steroids. [00:33:24] Jon Yoo: Um, but what I, you know, beyond that, I think, uh, there, there’s a lot of talk of like SAS apocalypse or software companies getting. Destroyed by, you know, the, the, the AI labs or SaaS is dead or whatever. I think SaaS is gonna, I mean, there’s gonna be way more software companies because the cost to build is a lot easier. [00:33:46] Jon Yoo: That means that competition will be. Even more fierce than ever. And you have all these AI native companies that are coming out with a quicker time to market, quicker time to value, and they have some recursive loops that makes the product even that much better. Um, so what that means for everyone is like, one, you gotta go back to the, the core differentiations. [00:34:06] Jon Yoo: Or like in the past, maybe the, the time to build was the differentiation, but today it’s, or you know, there’s some other, obviously the core elements, but then there’s. Distribution. Yeah. So how do you partner with Microsoft, for example? How do you have your own self-improving like distribution model? That makes sense. [00:34:22] Jon Yoo: Marketplace being a huge component of that. Two is obviously there, there’s a piece of like network and data. That’s what we think about of hey, what makes our product better as more, more people use it. Um, because yeah, competition is crazy fierce and it finally goes into times deployment. That’s why you see these companies like. [00:34:41] Jon Yoo: Open AI anthropic that are competing for their enterprise, uh, pie. And instead of doing it themselves, they’re, I mean, I think OpenAI just did a joint venture of like $4.1 billion into the deployment company. Anthropics doing the same, they’re surrounding themselves with the ecosystem and channel is going to be more relevant than than ever, as long as you know how to enable AI services and know how to deliver on this technology to the, to the broader world. [00:35:07] Jon Yoo: And so. Channel awesome. Marketplace, awesome. You know, competition’s gonna be fierce. Success is not going anywhere. [00:35:16] Vince Menzione: Good conversation, gentlemen. [00:35:18] Jon Yoo: Awesome. [00:35:18] Vince Menzione: I’ve been told we’re over time. I wanted to open it up to questions. Um, but I do feel like we, yeah, I’ll get, I’ll get yelled at. But this was incredible. Um, some great, I mean, the, the pa it, it’s terrific to see. [00:35:36] Vince Menzione: How far we’ve come in, so shorter period of time, and it’s only gonna continue to get better. I think the one question I’ll have is like, what, what would hold any of these companies back at this point? It feels like it’s such a compelling reason we need to move forward. Is there, is there anything, like why would, why would we hold back? [00:35:54] Cyril Belikoff: Um, you know, some of the discussions we have, um, is about how to balance today’s world with tomorrow’s world a little bit. [00:36:01] Vince Menzione: Yeah. [00:36:02] Cyril Belikoff: Today’s business model with tomorrow’s business model, today’s financial results with tomorrow’s financial results. Um, and there are very different approaches to all of this. [00:36:13] Cyril Belikoff: Those AI natives, they’re like, there is no yesterday. There’s only tomorrow. Um, there those companies that realize they’re being threatened by AI natives and so they have to move quickly. Um, and, uh. Figure out a, a, a business model and then someone else who wants to do a bit of both and bridge into it. [00:36:32] Vince Menzione: Yeah. [00:36:32] Cyril Belikoff: Um, and just within that frame there are different ways to tackle it, whether it’s create two teams, one’s the future team, one’s the current team, and, you know, may the best team win, um, makes sense with the customer and that, uh, or, uh, give the, give the customer the choice and have the teams going together. [00:36:49] Cyril Belikoff: So there are lots of different approaches. [00:36:51] Vince Menzione: Right. So great to have you. Did you have some, did you have a comment to make on that? [00:36:55] Jon Yoo: Uh, no. Just, uh, unwillingness to lean in and learn something new. Yeah. [00:36:59] Vince Menzione: Yeah. [00:37:00] Jon Yoo: I’m, I’m, I’m much more in the burn all boats buckets. Yeah, [00:37:03] Vince Menzione: I know. Me too. [00:37:03] Jon Yoo: Of, uh, no, no old team and new team. [00:37:05] Jon Yoo: Just new team and you know, that’s just push forward. [00:37:07] Vince Menzione: Well, great to have two amazing leaders on stage with [00:37:10] Cyril Belikoff: us. Thanks [00:37:10] Vince Menzione: so [00:37:10] Cyril Belikoff: much. [00:37:10] Vince Menzione: So thank you [00:37:11] Jon Yoo: so much. Yeah, thank [00:37:11] Vince Menzione: you [00:37:15] Jon Yoo: so much. [00:37:16] Vince Menzione: Don’t forget. Ultimate Partner Live is coming soon, October 26th through October 28th in Reston, Virginia. I hope to see you there. [00:37:28] I.

If you've ever stared at a model picker and wondered whether to click Flash, Sonnet, Opus, Instant, or Think Deeper, you are not alone. These naming conventions are genuinely confusing, and most people just pick something and hope it works. The stakes are higher than they might seem, though. Token misuse has left some companies with eye-watering AI bills, including one case where a single employee ran up a $500,000 tab in a month. The good news is that there is a simple mental model that cuts through all the noise, and once you have it, choosing the right model for any task takes seconds. In this How I AI episode, Neo and I walk through the four major AI platforms, Gemini, ChatGPT, Claude, and Copilot, and break down exactly which model to use and when. We also get into tokens, usage limits, and why matching the model to the task matters far more than most people realise. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn: Why ignoring model numbers and reading the small print instead saves a lot of confusion What Fable and Mythos are, and why you can't use them right now How token usage works and why the right model choice protects your access Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out on July 7, 2026. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

While Anthropic and the U.S. Government continued to try and make amends, there was another seismic shift quietly taking place: open source surged. Between Microsoft reportedly testing Open Source models for Copilot and the powerful new GLM-5.2, there was a clear trend this week in AI world. Missed it all? Don't worry, we'll catch you up so you can make the informed decisions for your company. Anthropic Continues Fable Fight, Microsoft Goes Open Source, Midjourney's Big Pivot and More AI News That Matters -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic Fable 5 and Mythos 5 Export BanTrump Labels Anthropic a National Security ThreatMicrosoft Copilot CoWork Open Source Model SwitchMicrosoft Considers DeepSeek-V4 for AI Cost ReductionChinese GLM 5-2 Sets Open Source BenchmarkGLM 5-2 Challenges Proprietary AI ModelsMidJourney Hardware Pivot: AI Medical Imaging ScannerCursor Building 1.5T Parameter Model, GitHub CompetitorAI CEO Summit: G7 Pushes US-Led AI CoalitionOpenAI Prepares GPT-5.6 ReleaseAnthropic, OpenAI, Google Face Geopolitical AI ScrutinyAdvancements in Token Efficiency and Cost ControlTimestamps:00:00 Trump's comments on Anthropic06:17 Microsoft exploring lower-cost AI models09:07 Microsoft exploring DeepSeek amid tensions13:45 AI model performance and efficiency trends15:59 AI leaders meet at G7 Summit21:22 Midjourney unveils first hardware product23:26 MidJourney's innovative spa technology28:50 Discussing Cursor's evolution and impact32:24 Talking about AI use cases33:27 Rumors and upcoming AI model releases37:20 OpenAI's major new hiresKeywords: Anthropic, Fable Five, Mythos Five, export controls, national security threat, Dario Amodei, Amazon, supply chain risk, Defense Production Act, Copilot CoWork, Microsoft, usage based pricing, open source AI, DeepSeek V4, Chinese AI model, token costs, Azure, agentic AI, enterprise AI billing, data security, compliance filters, GLM 5-2, Zhipu AI, 753 billion parameter model, MIT open source license, long context window, autonomous coding, Hugging Face, benchmark performance, text only model, multimodal capabilities, token efficiency, AI spend, G7 summit, AI governance, AI coalition, AI standards, cybersecurity risks, bioterrorism, chip trade, Sam Altman, OpenAI, Claude Opus 4.8, Gemini 3.5 Pro, MidJourney, medical imaging, MidJourney scanner, full body ultrasound, Butterfly Network, MRI alternative, spa launch, SpaceX, Cursor, 1.5 trillion parameter model, code hosting, GitHub competitor, code generation, AI super apps, Colossus compute, technical prompts, context window expansion, GPT 5.6, Claude Conway agent, Grok Imagine, Firefly AI, code artifacts, Google Ad Manager AI, Open Knowledge Format, Noam Shazeer, Dean Ball, Andrej Karpathy.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.