Podcasts about tech stack

As enterprises expand across multiple cloud environments, on-premise data centers, and dynamic AI workloads, traditional perimeter defenses and siloed cloud-native tools are no longer enough to secure the modern network. In this episode, Ashish sits down with Murali Rathinasamy, Senior Director of Product at Cisco, to break down the next evolution of network security: the Hybrid Mesh Firewall. Murali explains why relying solely on cloud-native firewalls can create visibility gaps, and how unified policy orchestration allows security teams to manage enforcement points seamlessly. He shares a real-world case study of how Multicloud Defense is used to eliminate manual route table configurations and achieve zero-downtime, blue-green upgrades. The conversation also tackles micro-segmentation. Murali breaks down why segmentation initiatives usually stall in "analysis paralysis" and provides a practical, agentless roadmap to reduce your attack surface "one bite at a time". Guest Socials -⁠⁠ ⁠⁠⁠Murali's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions(00:00) Introduction(01:40) Murali Rathinasamy's Background and Role at Cisco(02:30) What is a Hybrid Mesh Firewall?(04:30) Bridging the Skills Gap: NetSec vs. CNAPP/CSPM(06:45) Case Study: Royal College of Surgeons in Ireland (RCSI)(09:40) The Limits of Cloud-Native Firewalls in a Multicloud World(13:30) Securing AI Workloads and Managing the Agent Blast Radius(15:40) Why You Need Unified Policy Orchestration Across Firewall Vendors(17:40) Why Micro-segmentation Fails: Overcoming Analysis Paralysis(24:45) How to Implement Micro-segmentation "One Bite at a Time"(31:30) Detecting and Blocking Prompt Injections with Cisco AI Defense(33:30) Where Does the Hybrid Mesh Firewall Fit in the Tech Stack?

Kevin Bentley, head of technology for Jollibee Group North America, shares his take on the biggest topics in restaurant technology, everything from the potential to roll out voice AI drive-thru capabilities at Jollibee to the potential staff impacts of advancing technology in the foodservice space. 

How does an independent pizza brand with zero initial restaurant experience scale to seven — and soon nine — locations while going head-to-head with venture-backed national chains?In this episode of the Restaurant Operator Podcast, host Mandy Detwiler, editor of Pizza Marketplace and QSRweb, sits down with Enga Stanfield, co-owner of Texas-based Mattenga's Pizzeria, to uncover the tech stack driving their massive success. Stanfield shared how shifting from a grueling, hands-on survival mode to a tech-forward strategy completely changed the game, specifically highlighting their tech partnership with Owner.com.Discover how automated SEO, frictionless custom-branded apps featuring 8-second reordering and rapid text-based customer feedback loops helped Mattenga's capture passive local sales and maintain a steady 10% to 15% growth rate — proving that independent operators don't just have to survive against the big chains, they can out-innovate them.Stanfield said her favorite part of Owner.com is the reviews segment of the software. "Those reviews and those rankings, those are forever," she said. Her team responds to negative reviews quickly, but all of her restaurants have a 4.5 ranking or better.To learn more about how Owner.com is aiding restaurants compete in today's market listen to the podcast in its entirety.

Jacob Lauritzen serves as the CTO at Legora, the fastest growing B2B enterprise company in history; hitting $100 million in ARR in just 18 months . Legora boasts a valuation of $5.6BN and has raised a total of $866 million in funding. Legora's investors include the likes of Accel, Benchmark, and Bessemer Venture Partners, alongside strategic tech giants NVIDIA (NVentures) and Salesforce Ventures. AGENDA:  05:01 - How to Hire the Best Product Talent in 2026 06:21 - The New Product Bottleneck: Shifting Beyond Code Creation 09:24 - System Design vs. Code Creation: The Future Role of the Engineer 14:04 - The Evolving Software Development Lifecycle & The Death of the Design Phase 22:23 - Will Product and Engineering Fully Converge? 29:16 - Scalability and UX: Designing for 10x vs. 100x Spikes 38:15 - Scaling the Organization: What Breaks with a 250 Person Product Team 47:05 - Quick-Fire Round: Hyper-Growth Tactics & Out-Working the Giants  

Episode 176: In this episode of Critical Thinking - Bug Bounty Podcast we're joined by top Adobe hacker Jim Green to deep-dive AEM. We talk through Sling selectors, Permissions, and how to spot AEM Red Flags.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater, rez0 and gr3pme on X: https://x.com/Rhynoraterhttps://x.com/rez0__https://x.com/gr3pmeCritical Research Lab:https://lab.ctbb.show/ Need a Pentest? We just launched CTBB Pentests!https://pentest.ctbb.show/Hack full time? Check out the Full-Time Hunter's Guild!https://ctbb.show/fthg====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.You can also find some hacker swag at https://ctbb.show/merch!Today's Sponsor: Adobe. Earn more for AI bugs with Adobe's new AI Tier! https://blog.adobe.com/security/adobe-expands-bug-bounty-program-to-incentivize-ai-security-researchAlso don't forget to also grab a 10% bonus for valid AI vulnerabilities in Adobe Stock and Lightroom Web. Use code: CTBB063026 in your report.Expires June 30, 2026. ====== This Week in Bug Bounty ======Scaling Bug Bounty triage in the AI era(https://www.yeswehack.com/security-best-practices/scaling-bug-bounty-triage-ai)The AI impact: a triager's perspectivehttps://www.intigriti.com/blog/business-insights/the-ai-impact-a-triagers-perspective====== Resources ======Sling Selectors - The Key to Unlocking AEM's Attack Surfacehttps://greenjam.co.uk/blog/sling-selectors/Just a Moment CTFhttps://poc.greenjam.co.uk/just-a-moment.htmlGeneral XSS jquery .text()https://poc.greenjam.co.uk/text-xss.htmlURL XXS Challengehttps://poc.greenjam.co.uk/url-xss.html====== Timestamps ======(00:00:00) Introduction(00:04:35) Background and AEM Bug(00:17:40) Sling Selectors & the Tech Stack(00:38:14) Permissions & Apache Sling Resolution(01:01:37) The Bugs & AEM Red Flags(01:31:55) Moment in Time CTF(01:40:38) General XSS jquery .text()(01:45:45) URL XXS Challenge

This week, Matt Larwood from Strata Vote joins me to talk about: – Hybrid meetings, – Smarter post-meeting workflows, – The shift away from clunky all-in-one software, – AI, and – Why better tech should mean better service for owners, not just less admin for managers. We also consider where strata sits compared to the broader “proptech” world, and what smarter systems could look like in the very near future.

Most real estate tech companies aren't actually companies. They're features.   In this episode, James and Keith sit down with Lone Wolf CEO Matt Fischer to talk about why the current real estate tech stack is fragmented, inefficient, and overdue for consolidation.   Coming from outside the industry, Matt shares what shocked him most about residential real estate; and why AI is about to eliminate massive amounts of manual work across brokerages, compliance, transaction management, and operations.   If you've ever felt overwhelmed by disconnected systems and endless logins this episode explains why that's happening and why it won't last.   Connect with Matt on LinkedIn.   Learn more about Lone Wolf on LinkedIn - Instagram - Facebook - YouTube.   Subscribe to Real Estate Insiders Unfiltered on YouTube! https://www.youtube.com/@RealEstateInsidersUnfiltered?sub_confirmation=1 To learn more about becoming a sponsor of the show, send us an email: jessica@inman.com   You asked for it. We delivered. Check out our new merch! https://merch.realestateinsidersunfiltered.com/   Follow Real Estate Insiders Unfiltered Podcast on Instagram - YouTube, Facebook - TikTok. Visit us online at realestateinsidersunfiltered.com.   Link to Facebook Page: https://www.facebook.com/RealEstateInsidersUnfiltered Link to Instagram Page: https://www.instagram.com/realestateinsiderspod/ Link to YouTube Page: https://www.youtube.com/@RealEstateInsidersUnfiltered Link to TikTok Page: https://www.tiktok.com/@realestateinsiderspod Link to website: https://realestateinsidersunfiltered.com This podcast is produced by Two Brothers Creative. https://twobrotherscreative.com/contact/ The views and opinions expressed on Real Estate Insiders Unfiltered are those of the hosts and guests in their personal capacities and do not necessarily reflect the views or positions of eXp World Holdings, Inc., eXp Realty, LLC, NextHome, Inc., or any of their respective affiliates, subsidiaries, officers, or directors. 

Partner with Jay! https://www.jayschwedelson.com/contactㅤPre-order Jay Schwedelson's new book, Stupider People Have Done It (out June 9, 2026). All net proceeds are donated to The V Foundation for Cancer Research—let's kick cancer's butt: https://www.amazon.com/Stupider-People-Have-Done-Marketing/dp/1637635206ㅤCheck out Jay's YOUTUBE Channel: https://www.youtube.com/@schwedelsonCheck out Jay's TIKTOK: https://www.tiktok.com/@schwedelsonCheck Out Jay's INSTAGRAM: https://www.instagram.com/jayschwedelson/ㅤMost people use AI to spit out a blog post and call it a day, but Jay Schwedelson thinks that's leaving the good stuff on the table. He shares a few sneaky free-tier tricks that pull back the curtain on your competitors' martech stacks, make AI tools quote your brand back to searchers, and even predict which emails in your inbox will get opened. Then things go fully off the rails into reality TV territory.ㅤBest Moments:(01:20) The Ask Gemini button hiding in your Chrome browser that exposes any competitor's full martech stack(03:14) Why comparison tables are the number one piece of content AI engines hunt for when answering queries(04:14) A ChatGPT prompt that builds a competitive comparison table skewed in your favor without lying(05:11) Uploading a screenshot of your analytics dashboard so AI can tell you what to actually do with it(06:00) The cheesy inbox screenshot trick that ranks which emails are most and least likely to be opened(07:30) Why Send Help is not the horror movie everyone thinks it is, plus the most bonkers reality show on TV right now

Text me!In this insightful interview, Caitlin Hamilton shares her journey from corporate marketing to becoming a successful business coach and entrepreneur. She discusses common challenges faced by high-achieving women in online business, the importance of simplifying systems, and strategies for scaling while maintaining work-life harmony. If you are an entrepreneur and know that you need to implement systems in your business to scale, this one is for you!  Support the showLINKS TO FREEBIES BELOW: WEEKLY NEWSLETTER where I share all the tips and tricks on how to grow organically online HERE If you are interested in sponsoring the show, send me a DMABOUT THE HOST: Former Executive Recruiter turned Digital Marketing Expert & Entrepreneur.  I'm here to show you that you can do it too! I help women to start, grow and scale their personal brand and business online through social media. In 2021 I launched ChilledVino, my patented wine product and in 2023 I launched The Feminine Founder Podcast and in 2025 I launched my Digital Marketing Agency called Feminine Founder Marketing. I live in South Carolina with my husband Gary and 2 Weimrarners, Zena & Zara. This podcast is a supportive and inclusive community where I interview and bring women together that are fellow entrepreneurs and workplace experts. We believe in sharing our stories, unpacking exactly how we did it and talking through the mindset shifts needed to achieve great things.Let's connect further!!LinkedIn HERE IG @cpennington55 FB HEREChilledVino HERE

Jede:r in Tech kennt sie: die Side-Project-Idee, die sich am Anfang wie der nächste geniale Wurf anfühlt. Ein echtes Problem, eine elegante technische Lösung, ein Wochenende Motivation und vielleicht sogar schon die passende Domain. Und dann? Dann kommen Alltag, Overengineering, fehlender Produkt-Market-Fit, Plattform Abhängigkeiten oder schlicht zu wenig Zeit. Genau darüber sprechen wir in dieser Episode. Ohne Hochglanz, ohne Gründerromantik, ohne nachträglich zusammengebasteltes Happy End.Wir schauen darauf, warum gescheiterte Side-Projects völlig normal sind und trotzdem kaum sichtbar werden. Mit dabei sind Themen wie Survivorship Bias, Startup-Statistiken, Payment first, Ship first, Dogfooding, Accountability und die unbequeme Wahrheit, dass Coding oft der einfache Teil ist, während Vertrieb, Distribution und Durchhaltevermögen der eigentliche Endgegner sind. Konkret wird es mit zwei ehrlichen Beispielen: einem Wohnungs-Crawler namens Wohnbot, der per WhatsApp neue Wohnungsanzeigen schicken sollte, und einer Fitness-App, die aus einem kleinen UX-Problem direkt in ein Rabbit Hole aus Flutter, CI, Monitoring und Perfektionismus gerutscht ist.Wenn du selbst schon Open Source Tools, Apps, Automationen oder andere Side-Projects gestartet und nie zu Ende gebracht hast, wirst du dich hier ziemlich sicher wiederfinden. Vielleicht nimmst du sogar etwas mit für dein nächstes Projekt. Zum Beispiel, dass eine gute Idee allein wertlos ist, wenn sie nie das Licht der Welt erblickt.Oder ganz einfach: Stop starting, start finishing.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

The future of war has been evolving before our eyes in Ukraine, yet the west still plans to fight the last war. In this special episode, guest host Noah Smith (@noahpinion) and Brandon Anderson sit down with Yaroslav Azhnyuk (@YaroslavAzhnyuk), a serial tech founder who went from building PetCube to founding The Fourth Law, one of the world's most advanced AI-guided drone companies. Over two hours we cover the technology, tactics, and geopolitics of drone warfare, and why the modern battlefield has already left the West behind:* Yaroslav's personal history and the Ukraine war [00:01:04 – 00:14:01]* The modern drone tech stack: why FPV drones are the new god of war, the future of the rifleman, fiber optic vs. AI, five levels of autonomy, and the eight dimensions of the autonomous battlefield [00:14:01 – 01:05:13]* The geopolitics and economics of drones: China's manufacturing advantage, the drone race, Western defense readiness, countermeasures, and why the gap is widening [01:05:13 – 01:58:57]For those looking for Noah Smith's commentary, it really gets going around the 00:51:31 mark.Yaroslav Azhnyuk / The Fourth Law:* X: https://x.com/YaroslavAzhnyuk* LinkedIn: https://www.linkedin.com/in/yaroslavazhnyuk/* The Fourth Law: https://thefourthlaw.aiNoah Smith:* Substack: Noah Smith * X: https://x.com/noahpinionTimestamps00:00:00 Cold Open: China's 4 Billion Drones and the Cameras-to-Explosives Pipeline00:01:04 Introduction: Brandon, Noah Smith, and Yaroslav Azhnyuk00:05:41 From Tech Entrepreneur to Defense: PetCube, Brave One, and the D3 Fund00:10:42 The Ethics of Building Weapons: Dual-Use Technology and the Wolf at the Door00:14:01 The Tech Stack: Cameras, Autonomy Modules, Interceptors, and a Semiconductor Fab00:18:47 Fiber Optic vs. AI: The Radio Horizon Problem and $32/km Cable00:25:32 FPV Drones: The New God of War — 70–80% of Frontline Casualties00:28:28 The Five Levels of Drone Autonomy: From Terminal Guidance to Full Autonomy00:41:37 The Eight Dimensions of the Autonomous Battlefield00:45:32 AI Safety and the Morality of Autonomous Weapons00:51:31 The End of the Rifleman? Noah's 2013 Prediction vs. Battlefield Reality01:05:13 China's Manufacturing Advantage and Western Vulnerabilities01:24:21 Policy Advice for Western Defense: Defense Valley and the Widening Gap01:32:54 The Drone Race: Who's Ahead, Category by Category01:41:57 Countermeasures: Shotguns, Jammers, Lasers, and Fishnets01:58:19 The Wedding and Final Takeaway: Be Prepared for WarTranscriptCold Open: China, FPV Drones, and the New Warning SignYaroslav [00:00:00]: Think about this. Last year, Ukraine produced 4 million FPV drones. Ukraine is not the most industrious nation in the world. China can produce 4 billion of these FPV drones.Noah [00:00:10]: Would you say that right now China is now the supreme conventional military power on Earth, given its ability to manufacture and deploy drones in the quantity and quality that you just described?Yaroslav [00:00:20]: I don't think we have all the information to claim that but we cannot count it out, and that alone should be a big warning sign. As I say, at some point in my life I went from making cameras that fling treats to pets to cameras that fling explosives to the occupiers. So that's the short story. And when you think about what your nation, what your patriots are going through, you realize that's the only morally right thing to do is to fight back, and it is immoral not to fight back, and then the choice becomes very clear.Introduction: Yaroslav Azhnyuk, Petcube, and the Last Flight into KyivBrandon [00:01:04]: Welcome to Latent Space. I'm Brandon. I normally do science podcasts, but today we're going to do something a little bit different. I'm joined by Noah Smith of Noahpinion on Substack and Twitter. And he has lots of interesting things to say about drones. And as a guest, we have Yaroslav Azhnyuk, founder of The Fourth Law and several other, drone-related startups. To get started, it is February 23rd, 2022. You are running a pet startup. You're connecting pets with their owners. Let's go in just a little bit of background. How did you get started in tech, and what were you working on before the Ukrainian war started?Yaroslav [00:01:50]: Good to be here. Thank you. On February 23rd, late in the evening, 11:00 PM Kyiv time, my wife and I landed in Kyiv. Actually, then she was a fiance. We came from Lviv, where we were looking at a church, where our wedding should have taken place. And we got into this cab ride from the airport to our home, and the driver was like, “You crazy. Like, everyone's leaving Kyiv. Why do you come?” We're like, “What? Nothing's going to happen. Dude, chill.” And then obviously, eight minutes later, or eight hours later, the bombs fell in the city. It was quite surreal. We probably landed on the last flight that landed in Kyiv, or one of those last flights. My background, I'm a tech guy. Studied applied mathematics in Kyiv Polytechnics, born and raised in Kyiv. My parents are old PhDs from academia, and grandparents too. Like, everything, from linguistics to nuclear physics. And I'm an entrepreneur, so I've built a bunch of companies. Petcube is the one you were referencing. So I lived in San Francisco 2014 to 2020, building Petcube, which is one of the leading, pet device companies in the world, selling lots of pet cameras. And then, yeah, as I say, at some point in my life I went from making cameras that fling treats to pets to cameras that fling explosives to the occupiers. So that's the short story.February 24th: Leaving Kyiv as the Invasion BeginsNoah [00:03:28]: February 24th, I guess a few hours after you, go to check out your wedding chapel, what do you do?Yaroslav [00:03:37]: We had a plan for this situation. So my parents and family live in Kyiv, and we're like, “Okay, this has actually started. The worst has, come true.” And so we basically packed our belongings and got in the car and spent 17 hours driving west. And that was pretty sure most people in our audience watched at least one apocalyptic movie in their life, so that was exactly like that. Like, felt exactly like that. Missiles are falling. Like, there was smoke in Kyiv. Like, my dad and I went, like, to central part of the cities. It's probably, likeYaroslav [00:04:20]: 800 meters from presidential office, to pick some stuff up at his workplace. Because he's, like, the head of an academic institution, so he had to get some of the things with him. And super surreal. Like, the streets are empty. Like, the gas stations are out of gas. Like, we found some gas station. We didn't have, like, spare canisters with us, so we're like, We figured out, like, the car was diesel, so like, we figured out, if it's diesel, you can actually store it in plastic, canisters, and we bought some window wash for the cars. We poured it out of the canisters, and we poured the diesel into that. Yeah, so it was like that. And then, like, helping friends get out, like my friend and his dog. Like, we found Like, my brother was also, like, riding in a separate car. We found a place for my friend who didn't have a car. It was like, yeah, it was like, totally surreal. And we didn't know of course, and you didn't know this will last for so long. You didn't know whether Ukraine will be able to defend Kyiv. And it was like, yeah, very little information and very little insight into future.From Pet Cameras to Defense Tech: Building for Ukraine and the Free WorldNoah [00:05:42]: What are your thoughts with regards to how do you, defend, Ukraine? So you eventually start building drones Like, what is the process to get from there from where you were building, devices that connect owners with pets to building drones, and what other things did you do to help the war effort in the process?Yaroslav [00:06:07]: It's definitely non-trivial, right? Like, I didn't go, to I didn't get any, like, military education when I was a student. Like, normally, in Ukraine, you would, you would go to like, this military school even if you're getting higher education in any other, sphere. I decided to skip that which is like, an unusual way to go. And I never thought that I will be somehow engaged in a war effort. Like, what is war? Of course, wars are over. It's the end of history. So one thing you got to understand about, like, many Ukrainians and like, I guess, it's also true about most of the people I met here in the US, that your who you are in terms of your nationality is a big part of your identity. So when that gets under attack, it's something deeper than just the country you live in gets under attack, right? And I Day one, I figured I'm going to I'm going to fight back with everything I can, right? But I didn't think on day one that I'm actually going to do, weapons. And a bunch of things. We were reaching out to a number of American, congresspeople and senators, and basically advocating for support of Ukraine, for voting for lend lease, which has happened in May 2022, but didn't actually work as expected. We helped start, Brave One, which is now a very important defense innovation cluster, sort of like a DIU here in the US. We helped start, a fund called D3. It's like, it was started or co-started by Eric Schmidt, former CEO of Google. So a bunch of these odd things, but then eventually I was like, “Okay,”by 2023 it was obvious this thing, A is going to last a lot more time, and B, that the whole world is shifting and that there's going to be a new arms race, that the warfare is redefined by drones as platforms. And for the first time in history, you have a platform that is software defined, that can increase your battlefield capabilities, in a in a step change just overnight. So it's like if you were able to push a software update and get all of your Roman legionnaires a new helmet? That has never been possible before. It's the first time in the history of war this is possible. So all of that and many other things like, supply chain fragilization, and the impact that AI is going to have on all of this all these things have become evident to me in 2023, and it's like, “Okay, I should do what I do best, or what I know how to do best, start a tech company, and sort of leverage the global techno capitalist machine, to provide, defensibility to Ukraine and the free world.” So that's literally the mission of the company, increase defensibility of Ukraine and the free world. And then there was some sort of soul-searching and like, asking yourself. It's like, “Okay, am I Actually, I know nothing about weapons. Am I actually, like, ready to make, things that other people use to kill other bad people?”Yaroslav [00:09:36]: When you think about what your nation, what your Compatriots are going through And think about all the terror of places like Bucha, the occupied cities in the east and south, the abducted children, the raped women, all the economic damage that's being done, and the intention to destroy a whole nation, to genocide the people of Ukraine, you realize that's the only morally right thing to do is to fight back, and it is immoral not to fight back. And then the choice becomes very clear. And look, we're just passing the ammunition. We're not doing the actual job. The actual fighters and defenders and heroes are people in the armed forces. We're just support.The Moral Question: Weapons, Responsibility, and Fighting BackNoah [00:10:33]: I have so many questions. Actually, I know you seem to have a question. Do you want to ask anything?Yaroslav [00:10:38]: No, I'm just listening. Go ahead.Noah [00:10:40]: I do want to talk about, some of let's say, the moral issues, like you just said. You endYaroslav [00:10:50]: I think there are no issues there.Yaroslav [00:10:52]: What would an example of a moral question be in this case?Noah [00:10:55]: No, I mean Okay. As you just said, you are creating the tools, but others are using them.Noah [00:11:05]: I was maybe thinking of having this conversation later, but one of the questions is like, is it actually you are going to be building them for your homeland, which you are building it for your homeland, which is I think, very a strong morally defensible position, but this technology is not going to stay with you, right?Noah [00:11:26]: This you will probably be selling these to other people Yeah. So the future is really where the moral issues may come into playYaroslav [00:11:38]: The this question becomes, easier and more complete if we ask this not about a particular technology or particular weapon, if we think that this question actually applies to any kind of technology Right? So -Knife or fire. You can use knife to do surgery and save people's lives, or you can use it as a weapon to take people's lives.Noah [00:12:06]: Cut tomatoes, too.Yaroslav [00:12:08]: Cut tomatoes too.Noah [00:12:09]: Yes, knife.Yaroslav [00:12:09]: That's helpful.Noah [00:12:10]: In Japan, sword and knife, they, call the same word.Yaroslav [00:12:14]: It's like, it's with any technology. Large language models, right? Look at how powerful they are and yet they're available to anyone in North Korea or in Russia.Yaroslav [00:12:29]: That's one side of the argument. The other side is As a maker, what is your responsibility for how the tools you're creating, will be used? There's definitely some responsibility, right? Then How should the decision process look like? Should you, like, try to calculate all the possible scenarios before starting to work on something? Or do you create something that is needed now to save people's lives, and then think about, addressing the unwanted edge cases later? In ideal world where there's like, or okay, it's not ideal world. In a mythical world where there is some one governing party and it gets to decide everything, and there is no other country, that can, decide on their own, you could say, “Well, we need to calculate for all the consequences, and only then, maybe build this building, by replacing this park because, maybe we need this park in the city,”right? So that kind of situation. But when you're in a situation where you're in a forest, in front of a wolf, you first going to deal with the wolf that wants to eat you, and then you're going to go consult Greenpeace. So that's kind of situation that Ukraine is in.The Fourth Law, Odd Systems, and Ukraine's Drone StackNoah [00:13:59]: Enough. Because this is a tech podcast, I did want to spend some time talking about, sort of the tech in that you've developed and what you've been working on. So can you explain, I guess, first of all, like, the problem that you were trying to solve from a technical standpoint? And I think, and then maybe, like, go into some of the solutions and some of the design process that led you from designing, little laser-guided, guiding lasers with a with an iPhone versus Having drones.Yaroslav [00:14:34]: Like, it so happened, that my partners and I, we sort of So I started one company called The Fourth Law, and its goal was and is to Make, massively scalable on-drone autonomy. And then In parallel with that together with my, Petcube co-founders, partners, and friends, we started another company called Odd Systems Which, was focused on making thermal cameras. Cameras, thermal cameras are seeing thermal radiation and are used to see at night. And we're now sort of those companies are getting closer and closer together and we're probably going to merge them. And this group of companies is currently the leading, team in on-drone AI and thermal imaging on the Ukrainian battlefield, and Likely one of the leading, if not the leading in the world. So We have these, like, three sort of business units, which are cameras, drone autonomy, and drones. So the cameras and drone autonomy sell daytime and nighttime cameras and different types of drone autonomous modules to other drone manufacturers, over 200 drone manufacturers in Ukraine. And then the UAV, business unit sells the drones themselves to the armed forces of Ukraine, Ukrainian government. And there are different types of drones. Those are sort of front strike, as we call them, so those are sort of FPV strike drones and the bombers, and then interceptors. And there are different kinds of interceptors. We do Shahed interceptors and we do ISR interceptors. We don't do the deep strike-FPV Drones, Interceptors, and Battery-Powered WarfareNoah [00:16:32]: What's an ISR interceptor?Yaroslav [00:16:33]: ISR is stands for intelligence, surveillance, reconnaissance, and those are basically drones which are which, Russians are using to watch over positions and then communicate where, the targets are coming.Noah [00:16:48]: It's a reconnaissance.Yaroslav [00:16:48]: That's, the ISR is sort of a classical term for a for a reconnaissance drone.Noah [00:16:53]: Are all of these battery-powered drones that you just described? ‘Cause I know that the sort of deep strike drones still have, like Some sort ofYaroslav [00:17:01]: Internal combustion engine?Noah [00:17:02]: Internal combustion engine. Are all the things you're talking about battery-powered?Yaroslav [00:17:06]: What we're working on is all battery-powered, right? We don't do the deep strikes, right? And then in terms of autonomy-Noah [00:17:12]: You can catch a Shahed with a battery-powered thing. It's not Fast to catch.Yaroslav [00:17:17]: No, absolutely. Look, Shahed interceptor, like ours, it's called Zero, it goes up to 326 kilometers per hour.Noah [00:17:26]: For reference, how fast is a Shahed?Yaroslav [00:17:28]: Eight, like, in internal phase it could be 280, but in cruise phase it's, like, 220-ish.Yaroslav [00:17:36]: Yeah. And sorry, I'm not like you can convert that into miles if you're interested.Noah [00:17:41]: No, that's fine.Noah [00:17:41]: Multiply by two thirds or point six or something.Yaroslav [00:17:44]: That's easy. Yeah, I was saying that for autonomy modules, right, we, -We make systems, autonomous systems for frontline, for interceptors and some for deep strikes as well, and then different levels of autonomy. So from terminal guidance, which is like lasts 500 meters, give or take, to autonomous bombing, to autonomous target detection, to autonomous navigation and all of that across day and night, different terrains, different time of the year, different platforms like quadcopters and fixed wing, and maybe some other platforms. So it's quite a wide variety of products. We also have like our own simulation. We have our own training school for the war fighters. And we're about to start construction of two, semiconductor plants to make, sensors for thermal cameras. So that's super exciting for me as a computer science guy is Doing semiconductors. Super cool.Noah [00:18:49]: Like in terms of kind of core drone technologies, you basically are one is an FPV replacement without fiber optics, and the other isYaroslav [00:18:59]: YouNoah [00:18:59]: Signal tracking with interceptorsYaroslav [00:19:00]: With or without fiber optics. Fiber optics Is just like, sort of a communication module.Yaroslav [00:19:05]: You can, you can use classical analog, video link and radio link. Those would be two separate radios. You can do digital, or you can do fiber optic, and then fiber optic Has its own advantages but also adds weight and decreases, the distance and decreases, how fast you can, sort of turn and With a drone. Yeah.Noah [00:19:33]: Do you need AI for fiber optic drones?Yaroslav [00:19:36]: Like you can use AI for fiber optic drones. AI replaces a human, right? Fiber optic is making your communication link more resilient. So those are slightly different goals. Like if you want, you can have, AI controlling hundreds of fiber optic drones instead of having 100 operators for each.Fiber Optics, Radio Horizons, and Terminal GuidanceNoah [00:20:03]: I guess I thought that the key reason that people moved to fiber optic drones was for like electronic, countermeasures. Or I guess to counter those.Yaroslav [00:20:13]: I think that's a correct assessment from sort of a public awareness standpoint. In practice it's somewhat more difficult Because besides electronic countermeasures, you have these issues of a radio horizon For FPV drones, which means that asYaroslav [00:20:36]: I believe Earth is round Some people disagree. But basically if you fly a drone and you have a land station over here and a drone flying over hereYaroslav [00:20:49]: If your drone is flying high, you have good direct radio visibility. If your drone goes low, and usually, Russian infantry and vehicles, they're on the ground and you want to hit them, you need to go low. Lower you go, maybe you'll get behind a hill or behind a forest, and if you're far enough, you'll just get behind the curvature of the earth. You get into what's called a radio shadow. And then That is a real bummer because for the last, be it 60 or 20 meters, you won't be able to see anything and it will be very difficult to hit the target. So to counter that what-- And then the distances that these FPV drones, act on they're, they can be quite large. So for example, here in the US there was this drone dominance program competition, and in drone dominance the furthest distance was about 10 kilometers.Noah [00:21:44]: What was drone dominance? What was that competition?Yaroslav [00:21:47]: Drone, the drone dominance is a is a program started, by the US government, to accelerate the development of drone technology here in the US.Noah [00:21:57]: Got it. And the longest range thing they were using was 10 kilometers.Yaroslav [00:22:00]: Was 10 kilometers, right. In Ukraine, like if your drone doesn't fly at least 20, 25, it just, no one's interested in it, and the usual hits are happening. It was like, okay, many hits are happening between 30 and 40 kilometers, and that's what expected from a regular 10-inch, FPV drone. So at that distance, even at altitudes of like 60 to 100 meters, you might start losing, the link. So some of the earlier AI technology that was fielded in FPV drone was this terminal guidance technology. That was the first product that we ever, launched that helped you as an operator, once you see the target from two, three, 500 meters, you lock onto the target and then, it just, drives the drone towards the target no matter what, even after you lost the visual connection. So optic fiber solves that. However, if you want to go like 20 kilometers with optic fiber, that will add an extra three kilos, of useful weight to your drone. SoNoah [00:23:12]: ‘Cause the cable that you have to unspool as you go weighs.Noah [00:23:15]: It is heavy.Yaroslav [00:23:15]: At first, like the spool is about 800 grams, so a bit less than a kilo, and then, and then think about 10, 10 kilometer optic fiber is another kilo, something like that. That takes away from your useful mass and then now you have like, you need a 15-inch drone and it can only carry maybe one or two kilos of explosives if you want to go, 20 kilometers. If you want to go to 30 or 40, like 30 is probably max. 40 is like very problem problematic on optic fiber. And then the problem with optic fiber is it's actually getting super expensive. So and why? Because of all the data centers for AI. That's literally the same optic fiber-Noah [00:24:01]: We're running out of centersYaroslav [00:24:02]: That's being used there.Yaroslav [00:24:02]: Like when Ukrainians and Russians come to Chinese factories to buy the optic fiber, they're like, “We're out. We sold it out to the Americans.”? That's the craziest thing. So optic fiber went up in price from like, $4 per, kilometer to like, $32 per kilometer in a few months in the beginning of this year. And I'veBrandon [00:24:26]: Claude Code is stopping the Russian drone effort here.Yaroslav [00:24:30]: Ukrainian as well. Yeah.Brandon [00:24:31]: Ukrainian. But I read somewhere that the Russians had grown more dependent on fiber optic drones relative to the Ukrainians, and that's one reason why the Ukrainians have sort of regained the initiative in drones recently.Brandon [00:24:42]: How accurate's that?Yaroslav [00:24:43]: The Russians were the first ones to scale that. I think by as of now, Ukraine has caught up. I think, like, as of maybe three months ago, Ukraine is mostly caught up on fiber optic. Yeah.Brandon [00:24:57]: What percent of damage would you say is in terms of FPV drone damage would you say is now fiber optic versus, like autonomous?FPVs as the New God of War: Tanks, Artillery, and Cost per KillYaroslav [00:25:07]: For our, for our audience, I actually, I cannot answer that question. Like, it's like I know the answer, but I would not disclose that. But for our audience, I think another interesting fact is out of all the casualties on the front line Between 70 and 80% are done by FPV drones.Brandon [00:25:30]: FPV drones are the new weapon of universal weapon of warfare.Yaroslav [00:25:34]: It'sBrandon [00:25:35]: Land warfare, anywayYaroslav [00:25:35]: They used to say that artillery is a god of war because artillery used to cause, like 80% of casualties, and now On that ranking-Brandon [00:25:46]: FPVYaroslav [00:25:47]: FPV drones rule.Brandon [00:25:48]: FPV drones are the god of war.Yaroslav [00:25:51]: Sort of. Dethroned artillery. But it's not to say that artillery is not useful, is not needed. Like, all of these systems are needed. Maybe except cavalry, although Russians still use it. I know, have you seen the videos of Russians using mules and horses?Brandon [00:26:09]: What is the usefulness-Yaroslav [00:26:10]: It'Brandon [00:26:10]: Of a tank in the in the modern-Yaroslav [00:26:11]: That's where we need Greenpeace to say a word, but they're silent. Yeah.Brandon [00:26:15]: What's the use of a tank on the modern battlefield?Yaroslav [00:26:21]: It's diminishing.Brandon [00:26:22]: Diminishing.Yaroslav [00:26:22]: However, I think there might be technologies which will, revive the tank. Look, tank still provides you armor, and armor is important. Like, you still need to armor and firepower, right? Like, you can be an armor personal carrier that provides you, armor. The challenge that currently exists is armor is not very well protected against incoming drones. However, there are ways to do to protect it. We were previously talking about this before the podcast. The CEO of Rheinmetall, recently sort of ridiculed, Ukrainian drone industry, saying that like, there is nothing interesting there, no real innovation, no to stand Compared to like, Rheinmetall or Boeing, and it's all made by housewives. There was like, obviously a ton of memes about this people ridiculing the CEO of Rheinmetall. And one of the best quotes, I heard on this topic is from my friend, Alexey Babenko, who's, the head of and founder of VIARI Drone, which is one of the largest manufacturers of FPV drones. They're our partner. They're using our autonomy. So he said that the drones we manufacture in one day will be more than enough to destroy all the tanks Rheinmetall manufactures in a year.Yaroslav [00:27:52]: Then, yeah, cost-wise, of course, a drone is like, $500 and a Rheinmetall tank is what, probably 5 million-ish or maybe more.Brandon [00:28:00]: Don't mess with those housewives.Yaroslav [00:28:03]: Drone wives.Brandon [00:28:04]: Drone wives.Yaroslav [00:28:06]: That's it.Noah [00:28:06]: There's a classic saying that everyone always fights the last war.Noah [00:28:12]: Yet do How did So from your standpoint, how did we get to the point where tanks became irrelevant in at least for now In a matter of just a few years?Yaroslav [00:28:24]: Look, I think it's the same way, how do we get to the point that calculators become irrelevant?Yaroslav [00:28:31]: Now we have iPhones. Like, why would you need a calculator? Technology progresses and its influence grows non-linearly. It's all exponential. So I can tell you that full autonomy, when you put it on a drone Look, so if you, if you think about a tank and a like, it's not a direct comparison, but even, like, a drone and a artillery shell or like, sort of cost per kill, an artillery shell for 155 caliber, which is a standard NATO caliber Currently market price is about $4,000 per piece. So compare that to say, $400 per drone. That's 10 times more expensive. Account for the amortization of the artillery gun and for how vulnerable it is and what is the sort of tactical, capabilities it gives you as compared to a drone. You'll figure out that an FPV drone is maybe three orders of magnitude, more versatile, more useful, more capable than artillery and many of than a classic artillery. Many of Because there are different types of artillery. Not just, like, one 155. You have mortars, you have all that. But give or take, roughly three orders of magnitude maybe. Again, it doesn't have that firepower. It's not one-to-one comparison still.Yaroslav [00:29:53]: Now, take that FPV drone. When you put full autonomy on that FPV drone, which can be not very expensive, like systems that we're, producing are like, in hundreds of dollars of pure bombFull Autonomy: From Human Pilots to Smartphone-Directed Drone MissionsNoah [00:30:06]: Just interrupt. You said full autonomy Just a second ago you were saying that the autonomy here is guidance, right? It's not decision-making.Yaroslav [00:30:14]: No, I was I was saying that's the f-First and sort of easiest pieces of autonomy that was fielded by us. But if you, if you add full autonomy to a droneBrandon [00:30:24]: He, I think he's asking what does it can you, for the listeners, can you explain What the term full autonomy means?Yaroslav [00:30:29]: Basically, I think a good way to think about an FPV drone is like an iPhone of warfare. It's, like, very inexpensive, very mass producible, very versatile. You don't need a bunch of other things when you have a iPhone in your pocket. You don't have, need an MP3 player, you don't need a calculator, don't need other things. All right? So FPV drone is an iPhone. Or like, okay, Apple please don't sue me, is a smartphone. And then, when you add autonomy to it sort of becomes like Uber or ride sharing. Okay? So what it means is instead of actually being a trained pilot who has this complex remote controller device which requires a couple months of training to actually pilot the drone, and then having to pilot it for 30 minutes, flying towards the target, et cetera, et cetera, now you basically, you have your smartphone, you have a drone, you pick your smartphone, you say, “We are here. The bad guys are here. Go and get them.” And the drone goes up, flies in a given direction, localizes itself on the map, finds the dedicated area where they, the bad guys are supposed to be sees the bad guys, bombs them, return, like, watches, so does a damage assessment, returns back, sits down, and then you can pick it up and watch the video if you didn't have the radio link, right?Noah [00:31:59]: That's a bomber drone.Yaroslav [00:32:00]: That's full autonomy for a bomber drone, right?Noah [00:32:03]: You're saying that no human decision is made in this entire process?Brandon [00:32:06]: That's not, that's not what he's saying.Yaroslav [00:32:07]: A human decision was made at the beginning of the process-Noah [00:32:09]: I get it. I get itYaroslav [00:32:09]: The same way as you would fire an artillery.Yaroslav [00:32:12]: When you fire an artillery, you don't stop at like, 500 meters away from a target and ask it whether, you want to strike or not. That's exactly, a human decision is always made at some point. So when you do that's full autonomy, and such full autonomy is happening as we speak. And such full autonomy increases the capabilities of an FPV drone, which is already, like, three orders more powerful than an artillery shell. Full autonomy increases its capabilities by four orders of magnitude because now you can have 100 times as many people who can use it, because you don't need to train those people, and this is important. You can have 10 times, mission success rate, and you can have 10 times utility per drone because now instead of being one-way kamikaze, it's, it can be a bomber.Brandon [00:33:05]: Now wait, let's, you said 10 times mission success rate, which means that fully autonomous bomber drones succeed in their missions 10 times more often than human piloted bomber drones do. That's an important thing to know.Noah [00:33:17]: Maybe, to push back onBrandon [00:33:19]: They're super, they're superhuman. They're, they' 10X superhuman.Yaroslav [00:33:22]: They're not vulnerable to electronic warfare. They don't care about the radio horizon. They don't lose track during navigation. They are not susceptible to human error when, an artillery shell or other drone blows up besides you and you're like, “Hell no,”like, “I'm getting out of here.” Right? That doesn't happen to an autonomous drone. Like, all of those things. Like, we have, like, one of the brigades that's using our drones with just first level autonomy They literally said that their success rates-Brandon [00:33:53]: What's first level autonomy?Yaroslav [00:33:54]: First level autonomy is just the terminal guidance.Yaroslav [00:33:57]: By the way, we have video of that. We can watch that.Brandon [00:33:59]: Terminal guidance means a human gets it nearby and then the AI takes over.Yaroslav [00:34:03]: The human flies it all the way, like 30 kilometers towards the target, and obviously the target was probably given to that human by someone who's flying some ISR drone, some reconnaissance drone, right? So all the way to the target, and once you see the target from a distance of 500 meters, you do target lock, and from there drone flies autonomous. So just that feature alone, it has increased the guy's, his call sign is Grom, so it has increased his, mission success rate, like precision of mission, yeah, mission success rate from 20% to 71%, and it also increased his kill zone from three kilometers to 10 kilometers, which means there's certain area around the front line which is designated kill zone. Whenever enemy goes into that area, it's almost guaranteed to be to be destroyed by a drone. And then obviously the drones are not launched from like, the zero line. They're usually launched from like, minus 10 kilometer-Mission Success, Failure Modes, and the Five Levels of AutonomyBrandon [00:35:03]: What is a zero line?Yaroslav [00:35:05]: Zero line is sort of an imaginary line of control, of two conflicting forces.Brandon [00:35:14]: It's important to explain these things to a lot of the listeners who areYaroslav [00:35:17]: Thank you for askingBrandon [00:35:18]: Familiar with warfare.Noah [00:35:20]: Myself.Noah [00:35:20]: I'm one of those listeners.Brandon [00:35:20]: You said that level one autonomy, in other words just terminal guidance, just, like, human gets it to the finish line and then it goes over the finish line, increases mission success from 20 something percent to 71%, or something like that.Yaroslav [00:35:33]: Increases the kill zoneBrandon [00:35:34]: Increases the kill zoneYaroslav [00:35:34]: Three kilometers to 10 kilometers.Brandon [00:35:36]: Got it.Yaroslav [00:35:36]: On both parameters-Brandon [00:35:37]: What is full autonomy, dude? AndNoah [00:35:38]: Actually on real quick, can we define mission success and like, maybe in a way, what are the failure modes of missions?Brandon [00:35:44]: I have a guess what mission success is.Noah [00:35:46]: But I couldBrandon [00:35:47]: Get ‘em.Yaroslav [00:35:49]: No, but that's a very good question, in fact, because, even if you fly into the target, well, first the target can be damaged or destroyed. Those are two different modes. Then there can be different targets. A sole infantryman is one kind of target. A dugout where supposed there are some, enemies there is another kind of target, and a some mechanical equipment is another type of target. Radio emitting equipment, which, like, often, like, the targets that the military want to get more than anything else is the some enemy radio tower or something like that or some small radio dish that really makes life difficult in that area, in that combat area. So those are different targets, right? It can be destroyed, can be damaged.Then sometimes, the drone hits but doesn't explode. Like, that happens. And then, there are other failure modes. You didn't even reach the target because you were A jammed by electronic warfare; B, you lost the control over drone because of the radio horizon; C, you were jammed by a different type of electronic warfare that happens way before You hit the target area. It's, impacting your, video receiver. So like jamming on video or jamming on control are two different types of jamming. Then something malfunctioned on a drone, just a mechanical malfunction, maybe like a motor broke or like, whatever. So all of those are different failure modes. Yeah, or maybe you got lost, you're navigate navigating to your, to your target. That happens, too.Noah [00:37:41]: The Level one autonomy, basically you manage to point in a direction.Noah [00:37:49]: You go there, and then the last mile The drone taking over.Yaroslav [00:37:52]: We define this like, I define that but it sort of got picked up by the industry. We define five levels of autonomy. So level one is terminal guidance. It's what we just discussed. Level two is bombing. Level three is autonomous target detection and engagement decision. Level four is autonomous navigation. And level five is autonomous takeoff and landing.Noah [00:38:15]: Those are good things to knowYaroslav [00:38:16]: Those are five levels of autonomy. Now, if youNoah [00:38:19]: I have a question for you.Yaroslav [00:38:19]: Sorry. Like, let me finish withNoah [00:38:21]: SorryYaroslav [00:38:21]: Theoretical part.Noah [00:38:23]: What is Tesla running at right now?Yaroslav [00:38:25]: Tesla?Noah [00:38:25]: No, sorry.Yaroslav [00:38:26]: That's very good point. Like, it's exactly, it was inspired by the levels of self-driving autonomy.Noah [00:38:32]: Waymo's level five, right?Noah [00:38:35]: You just tell it where you want to go, it picks you up, and then you go there.Yaroslav [00:38:36]: I think, like, if you, if you look at the classic definitions of self-driving cars, Waymo is still, like, level four because it still requires even remote, but still, like, human control. It's like if Waymo gets in trouble, there is an operator who takes over and resolves this. So that would still be a level four. It doesn't map directly, but it's also five levels.Brandon [00:38:58]: Can I, can I interject a question here? In terms of an FPV drone that's like a suicide drone that'll just blow itself up killing something, how do what it hit? Like, does it, just transmit back, or do you sort of like, lose track of it and hope it hit? Like, what happens to that?Yaroslav [00:39:16]: That's a great question. SoBrandon [00:39:18]: You need another droneYaroslav [00:39:19]: Like, the current battlefield in Ukraine is saturated with different types of drones. So obviously you have all the FPV drones and last year alone, Ukraine manufactured about 4 million of these, and then Russia's maybe, like, 20% less than that. And for this year, the publicly voiced target was 7 million on Ukrainian side. So it's, like, serious numbers. We're getting in serious numbers here. And then besides those, there are different, reconnaissance drones, ISR as we call them, and there are sort of tactical level ISR where we, both Ukrainians and Russians usually use, Mavic, drone by DJI. And then there are a bunch of locally produced drones, which are sort of fixed wing drones that can stay in the air for much longer than Mavic, maybe, like, half an hour. And then, there are drones that can stay for many hours or even up to a day. And those drones have, are more expensive, have more expensive cameras, et cetera, et cetera. We hunt those drones that Russians launch. The Russians hunt our drones, and so on. But ideally, when you, are a group of soldiers operating an FPV, you'll have someone in your, company, or someone in your platoon who has an ISR asset that will do target designation for you. They'll say, “Oh, like, there's a Russian vehicle over there. Go and get him.”and you go there, you get it, and they're like, “Okay, confirmed.”Battlefield Surveillance and the Eight Dimensions of AutonomyBrandon [00:40:57]: Those guys are watching. They have their own drones in the sky.Yaroslav [00:40:59]: Target destroyed. They have, like, a carousel of drones because One Mavic cannot stay more than 30 minutes. ItBrandon [00:41:06]: They're constantly surveilling the battlefield.Yaroslav [00:41:07]: Almost every spot on the battlefield.Yaroslav [00:41:11]: It's not always the case. Sometimes you will not have a surveillance asset, so then you would launch another FPV just to confirm that there was a hit. Then if you see there was a hit and you're not sure if it completely destroyed, you maybe hit again for good measure.Brandon [00:41:26]: You double tap.Yaroslav [00:41:28]: That's how it works. But I was about to give you another sort of piece of taxonomy. So you have five levels of autonomy, right? Then you have sort of eight dimensions of autonomous battlefield. So what is eight dimensions? It's crucial to understand how autonomy evolves in a modern, battlefield environment. So dimension number one is level of autonomy. What are the capabilities that your asset has? Dimension number two is the platform you're operating on. So it can be a quadcopter, a fixed wing drone, different types of maybe, like, a long range drone or short range drone, but it can also be a missile. You can have autonomy even on an artillery shell or a ground vehicle or a sea vehicle. So all of those are different platforms. Level three would be domain. So it's ground to ground or ground to air as an intersection, or ground to sea or sea to air. They're all, like, all the nuances with different domains. Then level four, would be higher levels of autonomy, such as swarming, drone carriers, drone nests, et cetera.Brandon [00:42:39]: Now when you're saying level, you're talking about dimensions, not about-Yaroslav [00:42:42]: Sorry. YeahBrandon [00:42:43]: Autonomy levels. So dimension four.Yaroslav [00:42:43]: The dimension. Yeah, I used to say I was supposed to say dimension. I say dimension because each of them works with another, right? So you might have, like third level autonomy, fixed wing drone operating in land to air, and stuff like that right? And then operating in a swarm or operating from a nest. Right? Then you have, sort of dimension number five is environment. So is it day or night? Is it summer or winter? Is it, humid, cold, dry? What kind of target is it? Is your target hiding in a forest, or is it, behind a hill or within buildings? So all of that is environment. Then you have, dimension number six is command and control. How are you dealing with or like, tens of thousands of those assets around the battlefield? How are you coordinating that on the higher levels of command? How are you collecting data? All that.Yaroslav [00:43:44]: Dimension number seven would be infrastructure, so things like simulation, data collection tools, security, deployment mechanisms, et cetera. So all those systems have to be developed separately and integrate with all the others. And finally, dimension number eight is sort of distribution. Have you deployed 100 of these systems or 100,000 of these systems? Because those are two very different ballgames. So that now gives you a more broad overview of how autonomy propagates across the battle space.Targeting, Human Responsibility, and Rules of EngagementNoah [00:44:23]: As someone who has done machine learning and had gone out of distribution and had things, go horribly wrong, you were talking several of these, kind of axes of thinking about drone warfare seem like they could be very susceptible to some sort of distribution shift if you start making things autonomous.Yaroslav [00:44:41]: Like what?Noah [00:44:41]: I mean Well, first ofYaroslav [00:44:43]: If the I'm very interested Sort of sort of kinds of scenarios that you're thinking about.Noah [00:44:48]: Like the most obvious one is you, if I assume these are computer vision guided systems for at least the last mile, how do you ensure that oh, well, like you now have some fog roll in or something, and you, the drones just attack the wrong thing? Or maybe, it probably will not turn around and fly back and attack you, but youYaroslav [00:45:10]: Same, the same, the same question, how do you ensure that your mortar fire hits the right thing? Well, it's like mortar fire, give or take half a kilometer could be plus or minus. So maybe you fire one, and then you fire another. So drones are actually, much better in being precise in those scenarios. And I think, to your point, I think five to 10 years from now it will be immoral to use weapons without AI.Yaroslav [00:45:44]: ‘Cause weapons without AI will be more likely to cause, collateral damage or unwanted damage. Same way, it will be immoral to drive your own car manually on a public road because it's more likely to cause, unwanted damage.Noah [00:46:02]: Wow, I never considered that mightBrandon [00:46:04]: Really? That's definitely coming.Yaroslav [00:46:07]: Anyway.Brandon [00:46:07]: No, but that' I don't know, it's an obvious, an obvious thought. I agree with you.Brandon [00:46:12]: I, No, they, obviously they're not going to let you drive once most of the cars on the road are autonomous.Noah [00:46:17]: No, that one, don't I believe.Yaroslav [00:46:19]: No, I think you were you were talking about drones, right?Brandon [00:46:21]: The drones, right. Cool.Yaroslav [00:46:22]: The weapons, right?Brandon [00:46:23]: Friendly fire and collateral damage and stuff like that is all minimized with AI.Brandon [00:46:27]: Here's my question. Take all let's go to level six autonomy. Let's take all of the target selection. Let's take all the battlefield data, integrate it into one big AI, and have that big AI basically be in command of the battlefield And agentically do target selection.Yaroslav [00:46:44]: Be the general, right?Brandon [00:46:44]: It's a general. It's, you've cut humans out of the loop except maybe as dexterous robots, repairing drones and fastening things to drones or maybe something like that because you don't have those robots yet. How soon are we there? AI general.Yaroslav [00:46:58]: The most important thing to ask ourselves is who will be faster to that us or our adversaries?Brandon [00:47:07]: I assume us, but how fast will we be to that? I hope us.Yaroslav [00:47:11]: I hope so too.Brandon [00:47:12]: How fast can we Like when are we looking at that in terms of like horizons years?Yaroslav [00:47:18]: Like technically, it could be done now. The question is of course, there's, some engineering work to be done. The bigger challenge is deployment. Right? So okay, technically Like operation in Iran, right? They, the publicly, it was claimed that I think Palantir system was used for target designation, et cetera, et cetera. So it is not exactly as you say, the AI makes all the decisions, but basically AI goes through all the data you have, gives you these 1,027 different targets and says, “You-- To confirm, please press Okay.” And you look at the targets and you're like, “Yeah, sounds right. Press Okay.”so that's, I think that's where we are now already, or we were a couple weeks ago as we're recording this on April 10th. Another question is how massively deployable it is. Is it, like, every decision being made like that or is it, like, just some of the decisions made like that? And then different levels of command and control. There you have, like, the platoon, the company level, the battalion, et cetera, et cetera, et cetera. But the tricky thing here when we get into that territory, the tricky thing is If your enemy is getting advantage of being Thousand times faster than yourself by deploying such systems What do you do?Yaroslav [00:49:10]: You got to-Brandon [00:49:12]: The if the enemy is a thousand times faster than you at deploying those systems?Yaroslav [00:49:16]: Like, if enemy starts deploying level six autonomy, as you call And you have not started doingBrandon [00:49:22]: You're in troubleYaroslav [00:49:23]: Yes, exactly. So you have to catch up. So my point is that it is very important to think about the safety of these systems, but that thinking should not slow you down in developing them because they are critical for your existential, survival, right? And like, one person who doesn't think, doesn't get to think about the ethics of the war is a dead person. That person surely doesn't get to think about that.Brandon [00:49:52]: What would be the safety risk of such a system?Yaroslav [00:49:55]: Of course-Brandon [00:49:56]: Friendly fire?Yaroslav [00:49:56]: Just wrong decisions, right?Brandon [00:49:59]: I see.Yaroslav [00:49:59]: Maybe, these decisions-AI Command Decisions, Dead Zones, and Complex BattlefieldsBrandon [00:50:06]: Skynet AI decides it's going to useYaroslav [00:50:08]: No, these-Brandon [00:50:08]: Drone army to kill usYaroslav [00:50:09]: Decisions will not only be made about drones. They are likely to made about what the humans should do on your side as well. Then obviously some environments are more like Ukrainian-Russian war, where you haveBrandon [00:50:26]: It will have to choose to risk lives. It will have to choose to sacrifice human lives-Yaroslav [00:50:28]: Of courseBrandon [00:50:29]: On your side.Yaroslav [00:50:29]: Of course. And then some environments are just, like, dead, like, dead zones and there are no civilians there, or virtually no civilians close to the front line because, like, super dangerous. Everyone has evacuated from there. But there are other environments which are more like, okay, there's a counterterrorist operation. There's, like, a group of terrorists or a group of civilians. Or like, it's like the recent operations in Iran, I imagine that the US and Israeli forces do not want to harm civilians. They only targeted the military targets there, right? So in those situations, it's a different level of responsibility for that decision-making as well. And then there is just such a big variety of those military missions, and I'm not even, like, well-informed or well-educated in military science to tell you about all those scenarios. We would need to put some general besides me, and maybe a Ukraine general and American general would have told you very different stories about these things.Brandon [00:51:34]: Got it. Can I ask a few more questions? All right. So in 2013, I wrote one of my first, paid articles ever was about how the era of drones will change human society. I was just sitting around bored thinking about things.Yaroslav [00:51:54]: You were way ahead of your time.Brandon [00:51:55]: I said, I said, “The following will happen.”Yaroslav [00:51:57]: It's, this article is real. I've read it.Yaroslav [00:51:58]: It's actually-Brandon [00:51:59]: I said small autonomous, suicide drones, will cleanse the battlefield of human infantry. Human infantry will not be able to stand against swarms of AI-powered, suicide drones. That was I didn't even know about, like, AlexNet at the time, I think.Yaroslav [00:52:19]: You're just an avid sci-fi reader.Brandon [00:52:23]: I'm an avid sci-fi reader, but also, like, it's not Like, there will be a way to do that. It's a it's a nonlinear multidimensional search problem, and you get enough compute, you'll find some search algorithm that will get you there. And soBrandon [00:52:38]: I, yeah, I think that one sentence describes the bitter lesson right there.Brandon [00:52:41]: It's just like it's a multidimensional search space. You search it somehow. I don't know. Figure out some get a grad student-Yaroslav [00:52:47]: Sooner or laterBrandon [00:52:47]: To make a search algorithm.Brandon [00:52:48]: It's not that hard. Anyway, so but then, but I guess the point is The point is that human infantry on the battlefield will be will be gone at the end. I wrote that in 2013. Many people on social media laughed at me for that called me hysterical, said things like, “Electronic warfare will knock all the drones out of the sky.”like, “You need humans to hold ground.”that's something you still hear from a lot of people on social media today. I feel that this article that I've written has never been directionally wrong. It has gotten more and more right steadily over time, and that we're very reading the battlefield reports from Ukraine, where, human infantry are basically guy, like a few guys hiding in dugouts for months, and I'm not sure what they're doing.Yaroslav [00:53:35]: That's on Ukraine's side. On the Russian side, that's just like a zerg rush.Brandon [00:53:38]: The zerg rush, and then they just die. Then, but they have some guys in dugouts too, right? Like hiding in dugouts for months.Yaroslav [00:53:45]: They have. Yeah.Brandon [00:53:45]: Like, but that like, what are those guys doing in the dugouts? Are providing, like, frontline, like, reconnaissance? Like, what are they doing?Yaroslav [00:53:54]: If there is a guy in a dugout with some bullets and automatic weapon, the other guy cannot come and take the that dugout. That'Brandon [00:54:07]: I seeYaroslav [00:54:08]: They are they're establishing control over territory.Brandon [00:54:10]: I see. So that is so there still is a use for human infantry on the battlefield as of today.Yaroslav [00:54:15]: LikeBrandon [00:54:15]: How long will that last?Yaroslav [00:54:17]: I think it will last for a while. This is funny. There's this whole Layer of the modern culture, a modern Ukraine culture built around the war-related stuff. So there is this -Punk rock band, that is called SZC, I guess in English that would be. Which stands short for like a deserter or something like that. So anyhow, this band has a song titled “2030.” It's basically about the year 2030, and the war still goes on as like the whatever, third world war or whatever. And they basically, they, sang about the AI and like cyborgs and everything, but the simple infantry is still needed, and we're still, like, getting cold in those dugouts, and we're still doing our job. That's sort of the theme of the song. And it seems like that's actually what's going to happen. There areGround Robots, Simulation, and the Limits of World ModelsBrandon [00:55:30]: Ground robots will not replace humans in the dugouts soon.Yaroslav [00:55:34]: I'm very much interested in following the whole humanoid robot theme andBrandon [00:55:39]: What about like a dog robot?Noah [00:55:41]: Or just mobile controlled platforms or something.Brandon [00:55:44]: Spider robot, yeah.Brandon [00:55:45]: Everything evolves into a crab.Brandon [00:55:46]: You build a crab robot.Yaroslav [00:55:47]: A humanoid-Noah [00:55:48]: The carcinization of warfare.Yaroslav [00:55:51]: There is a lot of utility in humanoid robots because the world is designed around humanoids. So I would not, like, 100% disqualify the possibility that sometimes 10 years in the future, humanoid robots, will be actually fighting. So that's an actual Terminator kind of scenario.Brandon [00:56:14]: Yeah, in the first Terminator movie, you look at what they've got on the battlefield, they've got flying bomber drones and humanoid robots.Yaroslav [00:56:20]: Look, the cost of large language models of running them is getting so low, you can have basically an inexpensive computer running, what was a state-of-the-art model a year and a half ago, running it locally on a device with an open source model, which also means that the Chinese can have it, the Russians can have it, the North Koreans can have it, et cetera. So that is already possible. And with when we're looking at the acceleration of the neural nets, I would've, if not the acceleration of the large language models, I would've said that I don't think that humanoid robots will be able to be useful in the battlefield earlier than in 10 years. But if you account for the exponential, it might be five years or so. The problem with all of the autonomous systems, and it's like starts with self-driving cars and even with all the AI, like modern day AI agents, to make them really, useful, you have to solve such a long tail of edge cases, that it's really difficult to make them useful. Like we were promised, self-driving cars, what, like 2007, Sebastian Thrun and Google, and even before that all the challenges, everything. And Elon of course told us it's going to be one year from 2014, and now we still don't have self-driving Teslas everywhere. We have Waymos in SF and some other places, but they're still, like, not perfect. So I think, I expect something similar from self-flying drones and fully autonomous drones, and we saw that firsthand as with each level of autonomy that we're adding, there is a very wide distance between a prototype and something that is ready to be scaled to millions of units and something that has been scaled to millions of units. But the race with like AI coding tools is just insane. So things might accelerate very fast, faster than we can imagine.Noah [00:58:46]: I think your point is that with due to this long tail behavior Level one autonomy as you've defined it, is actually very natural. Like you basically are just solving an image recognition and tracking system.Yaroslav [00:59:02]: It's actually interesting that you say it that way, and I thought about this the very same way, and we have this joke that there are like 200 companies in Ukraine which are trying to solve last mile, targeting or terminal guidance. It seems like we're like the only company that actually solved that because even that problem-Noah [00:59:22]: I'm not saying it's, I'm not saying it's trivial, but it's at least something that you imagine given our current state.Yaroslav [00:59:26]: Like us and Eric Schmidt, like Eric Schmidt's companies are pretty good.Yaroslav [00:59:29]: Like, I actually have lots of respect to what they're doing, and they're, they have been practically influential and helpful on the battlefield, and they have good engineering.Noah [00:59:38]: I wasn't, I wasn't saying it's trivial. I'm just saying this is a something naturally adaptive based upon things that we know work, well. But some of the other domains that where you do have to make decisions and you have a long tail become much harder, and you worry about edge cases more.Yaroslav [00:59:57]: Like the more, the more complex behavior you're trying to simulate, the more edge cases there are right? The more ways to do it wrong there are. And then there are different approaches. It's like if you think about, if you read academic papers about robotics, right? You sort of the robot is represented as something that has the sort of sensor input, and then you have three, levels of sort of logics or decision-making, which are perception, planning, and control, and then you have actuators as output.So pre-neural nets, you would do perception output and control all with classic logics, right? Then, with AlexNet and computer vision, you could do perception with neural nets and the rest with logic. You cannot currently do each of those separately with neural nets, each of those separately with logics, or you can just have one huge neural net that just takes lots of sensory data. It's not just pixels. Could be sound, could be accelerometer, could be everything, as input, and just outputs the controls. And some of the self-driving car companies are doing that or like, experimenting between different ways of doing that. So you can also, like, think about that and the way you implement those features, also influences how much degrees of freedom the system would have, right? Like control, you can do it classical algorithmic control with common filters and PAD filter, PAD controllers, et cetera, or you can do a neural net, that was trained in a gym with a reinforcement learning, et cetera. And those would be two different behaviors of a system.Noah [01:01:53]: I-- Maybe my point was just much more high level. It'Yaroslav [01:01:56]: Or you can If you go even like, if you go high level, you can, you can like train to like have whatever, like Feifei Li and folks who are doing like physical, sortBrandon [01:02:08]: World modelsYaroslav [01:02:08]: World models, right, physical intelligence, they're trying to make these big models and sort of understand the world and then supposedly you have such model and you can tell a drone, “Okay, like, go over that hill and like, find the bad guys and then get them,”or “Make me a video, make me a photo of the guy smiling and get back to me.” Right? That's one way. Another way you have like these subsystems, like one is navigation, another is finding the person, another is like getting to them to take a photo. And those are again, very different behaviors. And then it's not that one is necessarily better than the other, and we might have more technological ability to do one or another. But all of those systems will exist. And then again, you should always keep in mind that it's only the not only the good guys that are developing these systems, the bad guys are developing these systems as well.China's Drone Supply Chain and the West's Manufacturing GapNoah [01:03:00]: I guess where I'm going with this back to Noah's original thought with the end of the end of the soldier. And so in order to replace-Brandon [01:03:10]: Or at least the end of the rifleman.Noah [01:03:11]: Or the end of the rifleman, yeah.Yaroslav [01:03:13]: I'm not seeing that very close, and it was like I'm, as much as I'm a lover of sci-fi and all of that and a technologist, the more I try to beYaroslav [01:03:27]: Like the I try to have certain humility about these things, and like the military, domain and there was just so much human history and blood and tears, dedicated to sort of understanding this art of war and perfecting it and so on. There is so much knowledge in there that I don't feel like I even started to comprehend, a lot of that. But one thing that I really understood is that even though drones are now making eighty percent of the casualties, you go to the actual officers, you talk to the actual, like, brigade commanders, corps commanders, and they explain to you, how all of it fits together, how when you're thinking about an operation that involves a couple thousand people to get this piece of land, out of the enemy's hands, deoccu deoccupy it, how it is so complex, it involves, dozens of different types of drones and then land operations and reconnaissance operations, psychological operations and then aviations and tanks and logistics and all kinds of these different assets. So modern warfare is really very complex, and the fact that the drones are the latest, coolest thing, and then the AI is latest, coolest thing, doesn't mean that now it's that and only that right? So yeah. Whoever's looking into that I think should realize that it's not just what the press talks about, that the reality is much more difficult, much more complex.Brandon [01:05:17]: Let's talk about China and China's manufacturing capabilities. So suppose that someone, like suppose the United States went to war with China. AndYaroslav [01:05:26]: I hope not.Brandon [01:05:27]: I hope not as well. And then but suppose that drones were very essential to that war of all the types of drones that we're talking about here, and that suppose that China said, “All right, well, you need X and Y and Z, to make those drones to fight us, and we control the production of X and Y and Z, so we're just going to cut you right off, and now you have no drones.”Brandon [01:05:47]: I know that a number of countries, including Ukraine and Taiwan, have been making moves to China-proof their drone productions that China couldn't do that. Examples of things they might be able to cut off might include rare earths, fiber optic cable that you were talking about before, various other things that where even if they don't control one hundred percent of the production, they control enough of the production that would be extremely expensive to produce it without relying on Chinese sources. Or the market's fragmented enough, et cetera. What do you see as China's key bottlenecks, and how easy are those to overcome in terms of China-proofing drone production in case of a war against China?Yaroslav [01:06:30]: Let me start with a saying that -Although China does not sell directly to Ukraine and it does sell directly to Russia, a lot of Ukrainian supply chains, they start in China, right?Yaroslav [01:06:49]: We're not in a conflict with China, and we would not want to be in a conflict with China. And we'd hope that China stays a neutral power between Ukraine and Russia and the US as well. That said, the scenario that you're describing, everything is much worse.Yaroslav [01:07:11]: Think about this. Last year, Ukraine produced four million FPV drones. Ukraine is not the most industrious nation in the world.Yaroslav [01:07:19]: China can produce four billion of these FPV drones.Yaroslav [01:07:23]: China can make them not drones with propellers, but fixed-wing drones, which go not forty kilometers far, but maybe two to three hundred kilometers inland.

Summary In this episode, Justin Lake interviews Julie Whitten about the critical factors influencing frontline technology adoption, the human operating system behind change, and strategies to improve stakeholder engagement and trust. They explore practical approaches to accelerate adoption, the importance of trust, and how to effectively communicate with senior leaders. Key topics The People Stack framework and its layers Root causes of poor adoption and how to address them The importance of trust and clarity in change management Strategies for engaging senior leaders and frontline workers The role of readiness assessment and practice in successful implementation Chapters 00:00 Introduction to Change Management Challenges 02:08 Understanding the Consequences of Poor Adoption 06:00 The People Stack: Layers of Change 10:36 Trust as a Foundation for Change 11:02 Generational Perspectives on Trust 13:02 Personalizing Change in Large Organizations 17:06 Communicating Change to Senior Leaders 20:50 Assessing Readiness for Change 24:18 Implementing Effective Change Management Strategies 27:52 Prioritizing Change Management 31:19 The Importance of Early Change Strategy 34:04 Understanding Resistance and Adoption 37:39 Proactive vs Reactive Change Management 39:59 The People Stack: A New Approach to Change 44:11 Engaging with Clients for Successful Change 48:42 Connecting with Senior Stakeholders 49:42 Outro (Frontline Innovators) Final.mp4   Resources The People Stack by Julie Whitten - https://www.amazon.com/dp/B0H18SB1P1 Justin Lake on LinkedIn - https://www.linkedin.com/in/justinlake Julie Whitten on LinkedIn - https://www.linkedin.com/in/juliewhitten Skyllful - https://www.skyllful.com/  

It's not about the tech, it's about what you do with it! In this episode I share my tips for creating a simple but effective brand strategy focused tech stack. This will ensure the apps streamline and support, but don't get in the way of your thinking. I cover: • The principles of a lean tech stack • The brand strategy activities that need or benefit from supporting apps • My own brand strategy tech stack   Connect with me Learn Brand Strategy - The Brand Method program  Find me on Instagram

Does it feel like your favorite AI tool is declared dead one week, only to be resurrected the next? This week, Andrew sits down with Bryan Bischof, Head of AI at Theory Ventures, to explore the hidden levers of inference systems and the industry's obsession with prematurely writing off useful tools. Bryan shares his experiences with why prompt optimization is mostly a dead end, the secret to building high-performing data agents, and how his team builds operational software for VCs. The two also break down the origins of the satirical rip-grep.com and drop hints about Bryan's highly anticipated next AI game show experiment. AI Council 2026: Catch Bryan's track on inference systems and get tickets.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Events: Catch Bryan's track live at the AI Council Conference.Writing: Check out the April Fools manifesto at rip-grep.comTheory Ventures: Learn more about the work happening at Theory Ventures.X/Twitter: @BEBischofLinkedIn: Bryan BischofOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this episode, Matt Reiners sits down with Jess Kohn, HCM Consultant for Healthcare and Senior Living at Paycor, to talk about how senior living operators are rethinking their approach to workforce technology.Jess shares how she found her way into senior living through tech sales, what made her stay in the industry, and why relationships and trust matter so much when serving operators. The conversation explores how the pandemic accelerated technology adoption, why many organizations are now focused on consolidation and integrations, and how HR and workforce systems can directly influence employee retention, staff experience, and resident care.Matt and Jess also look ahead at the role of AI, data, and proactive decision-making in senior living operations — while emphasizing that the future still depends on preserving the human touch.Episode Highlights02:00 Matt introduces Jess Kohn and her work supporting senior living organizations through HR and workforce technology.03:06 Jess shares how her healthcare administration background and tech sales career eventually led her into senior living.05:21 Why the mission-driven nature of senior living made Jess want to stay in the industry.08:21 How technology adoption in senior living has changed from pre-COVID to today.09:58 The growing importance of integrations, simplification, and reducing tech overload.10:40 Why selling into senior living is really about trust, education, and long-term relationship-building.12:44 The workforce and HR challenges senior living leaders are trying to solve today, especially staffing and retention.15:07 How better HR systems can improve the day-to-day experience for managers, staff, and residents.16:59 Jess's perspective on the future of senior living operations, AI, data, and human touch.18:33 Final thoughts on why employee experience will remain central to the future of senior living.

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Most founders get the order wrong. They build for two years, then ask a marketer how to sell it. Connie Lund flipped the script. She started Zaboom with no dev team, no code background, and no VC funding. What she had was 50+ years of combined marketing and product experience, a GoHighLevel account, and a willingness to break things at 2 a.m. on a Sunday. In this episode, Connie walks Matt through how she built a working voice AI product for insurance agencies—using N8N, GoHighLevel, and Claude as her "CTO." Then landed paying customers in under 90 days. She also gets honest about what AI can't do for you: use good judgment, know when to stop, and figure out if what you're building actually matters to anyone. They cover the difference between outputs and outcomes, why talking to customers beats building in isolation every time, and how the traditional "raise VC, hire devs, ship product" playbook is getting replaced by something scrappier and faster. If you're a founder who's been waiting until the product is perfect to talk to people, this episode will make you uncomfortable. Good. Listen to this Startup Hustle episode now.⏱️ Episode Breakdown00:49 Introduction to Connie Lunn and Zaboom02:33 The Journey of Building Zaboom05:41 Tech Stack and Tools Used11:58 Prototype vs. Final Product16:16 Marketing and Customer Engagement21:09 Coaching and Helping Others25:31 Democratizing Technology and Skills32:08 Final Thoughts and AdviceLinks & ResourcesConnect with Connie Lund on LinkedInWhat Smart CTOs Are Doing Differently With Offshore Teams in 2025Subscribe to the Global Talent SprintFull Scale – Build your dev team quickly and affordablyIf you're trying to get your team out of the basement and into real product ownership, this episode is your playbook. Stop being a ticket factory. Build teams that think, create, and lead.Follow the show, rate it, and send this to someone who's still trying to do “real Scrum.” They need it more than you do.

Tech tools and software are an easy thing to accumulate. Most of us add tools when we find them, promising ourselves we'll dive in "as soon as we have time. Before long, we've got a giant tech stack that just kind of happened.In this episode, I'm talking about the costs of "tech debt" - not just the financial expense, but the minutes, hours, even cumulative days that we all spend on workarounds, redos, and tweaks, all the while thinking, "I'm sure I had a tool that was supposed to do that!"We'll also cover the three layers of your business where tech tends to accumulate, along with a simple, three-question audit to help you see your system clearly.The goal here isn't a perfect stack... it's just an intentional one, where you've got all the tools you need (and none you don't).Resources mentioned: Photographer's Business Dashboard Sign Up for the FREE Webinar: Economy Proof Your Business - 3 Ways to Make More Without Charging MoreResources:New to the podcast? Go to thiscantbethathard.com/welcome to get access to 3 of Annemie's best free resources.Join our community! We'd love to welcome you into our supportive, business-focused private Facebook group. Go to facebook.com/groups/thiscantbethathard to request access.Long-time listener? Leave a review!

#130Josh sits down with Sterling Douglass, CEO and co-founder of Chowly, alongside Michael Jacober, for a deep dive into how AI is reshaping the restaurant and technology landscape in real time. What starts as a conversation about building versus buying quickly evolves into a broader discussion on how even independent operators now have access to tools that were once reserved for enterprise-level brands. Sterling shares how AI is accelerating product development, empowering teams across disciplines, and fundamentally changing how companies think about adoption, efficiency, and innovation.The conversation expands into the future of SaaS, where traditional competitive advantages are rapidly eroding and being replaced by new forms of leverage like distribution, integrations, and execution speed. They explore the shift from static “systems of record” to dynamic “systems of action,” the risks of relying on subsidized AI infrastructure, and how companies can stay relevant as technology cycles compress from years to months. Along the way, they reflect on the cultural impact of AI, from how teams work to how leaders think, offering a candid look at what it takes to build and adapt in a world where everything is changing faster than ever.Links and resources

Two AI-backed private equity firms just confirmed the same thesis in the same week. They're not buying construction software. They're buying the firms that use it.This week: I sit down with the team behind Zero RFI (General Catalyst-backed) and a partner at E3 Tech (the Andreessen Horowitz JV) to unpack the rollup playbook coming for owner's reps and trade contractors. I cover the UK tier one that just put a humanoid robot on a live construction site for the price of a small van, and what the methodology behind that deployment actually teaches you. Plus a recap of April and a look at what's coming next week, including our episode with the CEO of Nemetschek on the HCSS deal.Three things you can action this week. No fluff.Links and resources mentioned in this episode:Bricks & Bytes Supply Chain & Procurement Report - https://bricks-bytes.com/downloads/procurement-report/Zacua Ventures Construction Robotics Report 2026 - https://zacuaventures.com/construction-robotics-report-2026/AEC Magazine on agentic BIM data wall - https://aecmag.com/ai/agentic-bims-missing-infrastructure/https://aecmag.com/ai/agentic-bims-missing-infrastructure/All3 / Mantis $25M raise - https://bricks-bytes.com/funding-ma/all3-25m-seed-construction-robotics/NABTU + Microsoft AI training partnership - https://news.microsoft.com/source/2026/04/21/nabtu-and-microsoft-expand-nationwide-initiative-to-strengthen-ai-training-and-career-pathways-across-the-skilled-trades/Daily Blueprint editions covered (27-30 April 2026) - https://bricks-bytes.com/daily-blueprint/Our newsletter - https://bricks-bytes.beehiiv.com/LinkedIn post for this episode (for comments/engagement) - [link coming

You don't need a developer, a $10,000 custom build, or some fancy tech you can barely pronounce to actually use AI in your business properly.The full AI tech stack running our entire business at HelloFunnels is genuinely budget-friendly. No N8N. No extra computers running in the corner of an office. No mystery integrations that only a developer can touch.It is a small handful of tools (most of which you have probably already heard of), all talking to each other and quietly doing the work in the background.In this episode, Kate is cracking open the full AI tech stack we use to run HelloFunnels. Every single tool, every single cost, and exactly what each one is doing for us behind the scenes.If you've been hearing all the AI hype lately but assuming it needs a giant tech budget or a developer on retainer to make it actually work, this episode is for you.Inside the episode:The two versions of Claude we run (and the reason we actually use both)Why Airtable and ClickUp together make up our "business brain"The little tool quietly connecting everything (and only costs about $20 a month extra)The optional fifth tool that completely changed how we approach ads and market researchPlus the actual total cost of the whole stack (it's lower than you think)This episode is the natural next step after last week's deep dive into our AI Business Brain. If you missed that one, go back and listen to it first for the full picture.

Send us Fan MailOne of the challenges that brands can often face when implementing a loyalty program is getting key stakeholders on the same page about the value of the initiative. More specifically, a chief financial officer and a chief marketing officer might have very different views of the program, with the former seeing it as a cost center while the latter sees it as a growth engine.  A CFO could focus on economics over perks by looking to add expiration policies or increasing redemption thresholds, whereas a CMO is focused on things like personalization, brand engagement, and customer acquisition and retention.  According to David Glantz, Director of Business Development for Germany's Loyalty Partner Solutions (LPS), one of the key ways a CMO can bridge the divide with a CFO is by having the right KPIs in place to effectively argue the value of the program for not just customers, but also the company. KPIs are just one aspect of the program design that LPS helps its partners create.  

Send us Fan Mailsome links are affiliate linksIn this episode, I'm sharing our March live Q&A where I answered rapid-fire questions about running a bookkeeping firm. If you've ever wondered how to manage a shared team inbox without micromanaging, what to do with merchant clearing account balances at year end, or how to navigate a CPA non-compete, this one's for you.In this episode you'll hear:How to manage a shared team inboxWhat to do with merchant clearing account balances at year endWhy building a 100% virtual client base can actually be easier than going localResources mentioned in this episode:Xero**:https://xeroamericas.partnerlinks.io/79afz10exu7dFor experienced bookkeepers & accountants:Learn how to start your bookkeeping business in The Bookkeeping Business Accelerator® >>Grab my FREE Start your Bookkeeping Biz Checklist >>Grab my FREE New Client Onboarding Templates >>For new bookkeepers:Learn the fundamental accounting skills in Katie Ferro's Become a Bookkeeper** >>For creators:Become a client at my firm, Of Course Financial >> https://hello.dubsado.com/public/form/view/69b0bd05819ab2af03e9b73fFor more information about the Ambitious Bookkeeper Podcast or interest in our programs or mentoring visit our resources below:Visit my website: ambitiousbookkeeper.comSubscribe to my Newsletter ambitiousbookkeeper.com/blogConnect on Instagram: instagram.com/ambitiousbookkeeperConnect on Threads: threads.net/@ambitiousbookkeeperPodcast Publishing Tools we use:Podcast Editing: Sabr Media LLCDescript**Buzzsprout**AFFILIATE DISCLAIMERWe participate in affiliate marketing programs, which means we may earn a commission from purchases made through the links above. However, our recommendations are based on our own research and expertise, and your trust is our priority.Join the next free training > Get access to the Dubsado Decoded Private Podcast Series here>>

Название релиза: Boss G-H, Yudzhin Tech - Stack Broken Дата релиза: 09.12.2025 Тип Релиза: Сингл Жанр: Dance Описание Артиста: Boss G-H — талантливый электронный музыкант из Казани, который создаёт энергичные треки в стилях Slap House, G-House и Bass House, идеальные для вечеринок и прослушивания в автомобиле. Его работы привлекли внимание крупных музыкальных платформ, и очень часто появляется в редакторских плейлистах. Yudzhin Tech - Яркий представитель электронной сцены, этот артист успешно сочетает мастерство продюсера и талант музыканта. Его уникальное звучание с глубокими битами и подвижными мелодиями делает композиции востребованными на клубах и фестивалях. Экспериментируя с инновационными элементами, он остается в центре музыкального прогресса. Описание релиза: Энергичный клубный трек с мощной мелодией и пульсирующими ритмами погружает слушателя в мир удовольствия благодаря ярким вокальным вставкам. Закрыв глаза, чувствуешь себя в центре вечеринки, окруженным светом и звуком, ощущая свободу и радость.

Drew Donaldson, founder of Automata Intelligentsia, shares insights on building effective automation systems for businesses, common pitfalls, and the future of AI-driven automation in sales, marketing, and operations.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

In this episode of UNSCRIPTED, host Sarah Nicastro recaps the key insights, standout sessions, and pivotal conversations from Field Service Next West 2026 in San Diego.From balancing globalization and localization to redefining the service value proposition, this episode explores how industry leaders are navigating the intersection of technology innovation, talent transformation, and culture-driven leadership. Sarah shares her personal reflections from the event, highlighting the themes that will shape the future of field service.

The Big Unlock · Michael Hasselberg, PhD, RN, Chief Transformation and Digital Officer, Nebraska Medicine In this episode, Dr. Michael Hasselberg, Chief Transformation and Digital Officer at Nebraska Medicine, makes a compelling case that sustainable digital transformation in healthcare requires more than technology, it demands the right organizational structure. By unifying IT, innovation, and strategy under a single transformation office, health systems can move from isolated pilots to enterprise-wide impact. Drawing from his journey across telehealth, mobile apps, VR, and AI, Dr. Hasselberg emphasizes that true transformation is about redesigning systems to deliver the right care at the right time. Nebraska Medicine deploys nearly one new generative AI tool per month, automating capacity management, discharge workflows, and revenue cycle operations. He also highlights the value of real-world innovation units where new technologies are tested with live patients before system-wide deployment. Dr. Hasselberg's most provocative insight: the next frontier of AI readiness isn’t a new technology, it’s application rationalization. He argues that to lead in AI and innovation, health systems must simplify their tech stack. Take a listen.

This is a recap of the top 10 posts on Hacker News on April 12, 2026. This podcast was generated by wondercraft.ai (00:30): I run multiple $10K MRR companies on a $20/month tech stackOriginal post: https://news.ycombinator.com/item?id=47736555&utm_source=wondercraft_ai(01:56): Tell HN: Docker pull fails in Spain due to football Cloudflare blockOriginal post: https://news.ycombinator.com/item?id=47738883&utm_source=wondercraft_ai(03:22): Pro Max 5x quota exhausted in 1.5 hours despite moderate usageOriginal post: https://news.ycombinator.com/item?id=47739260&utm_source=wondercraft_ai(04:48): Seven countries now generate nearly all their electricity from renewables (2024)Original post: https://news.ycombinator.com/item?id=47739313&utm_source=wondercraft_ai(06:15): Bring Back Idiomatic Design (2023)Original post: https://news.ycombinator.com/item?id=47738827&utm_source=wondercraft_ai(07:41): Anthropic downgraded cache TTL on March 6thOriginal post: https://news.ycombinator.com/item?id=47736476&utm_source=wondercraft_ai(09:07): Google removes "Doki Doki Literature Club" from Google PlayOriginal post: https://news.ycombinator.com/item?id=47743730&utm_source=wondercraft_ai(10:33): The peril of laziness lostOriginal post: https://news.ycombinator.com/item?id=47743628&utm_source=wondercraft_ai(12:00): AI Will Be Met with Violence, and Nothing Good Will Come of ItOriginal post: https://news.ycombinator.com/item?id=47737563&utm_source=wondercraft_ai(13:26): Apple update looks like Czech mate for locked-out iPhone userOriginal post: https://news.ycombinator.com/item?id=47737383&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

In this episode of the Seatrade Maritime Podcast, host Gary Howard sits down with Adam Pang, chief revenue officer at Unimed Maritime Solutions, to map out the digital revolution of healthcare at sea.Adam reveals how the industry is finally moving toward proactive health management. He shares concrete industry case studies on how aggregating "small signals" from across a fleet, such as spikes in fatigue, minor pain medication usage, or recurring gastrointestinal complaints, allows operators to identify systemic risks like provisioning contamination or ergonomic failures before they escalate into medical evacuations.Inside the Episode:Breaking Data Silos: How centralizing fragmented records reveals hidden infection clusters and prevents outbreaks.The Three Pillars of Risk: A look at the three primary challenges facing today's seafarers: chronic conditions, occupational injuries, and the growing mental health crisisThe "Invisible" ROI: Why investing in nutrition and wellness reduces hidden costs like crew turnover and lost operational efficiency.The Tech Stack of the Future: The role of AI, wearables, and portable diagnostics in creating the "Self-Aware Ship".Stop treating medical incidents as isolated events and start treating crew health as a core operational strategy.Tune in to discover how data-driven insights are making safer ships, healthier crews, and more resilient operations the new industry standard.

Check out the full video replay here:https://us02web.zoom.us/webinar/register/9017757792275/WN_OL8k1mMnQKSubj_wdwXciAToo many tools. Too many invoices. Not enough closings. Sound familiar? This FREE 30-minute training shows you exactly how to simplify your entire real estate tech stack......so you can build a pipeline of REAL buyers & MOTIVATED sellers that actually converts into MORE closings!Not part of our Skool community yet? (For real estate agents who want to take MORE listings...) GASP!?! You can join here now:https://www.skool.com/leads-listings-leverage-7797/about

Reach Out Via Text!Are you using AI or different technologies in your business in 2026? If not, what are you waiting for? The next 2-5 years are going to change the world in every aspect with the development of technology. Will you adapt and bring it into your operations or just watch everyone else and fall behind? Support the show10% off LMN Software- https://lmncompany.partnerlinks.io/growinggreenpodcastSignup for our Newsletter- https://mailchi.mp/942ae158aff5/newsletter-signupBook A Consult Call-https://stan.store/GrowingGreenPodcastLawntrepreneur Academy-https://www.lawntrepreneuracademy.com/The Landscaping Bookkeeper-https://thelandscapingbookkeeper.com/Instagram- https://www.instagram.com/growinggreenlandscapes/Email-ggreenlandscapes@gmail.comGrowing Green Website- https://www.growinggreenlandscapes.com/

Too many tools? Too little clarity?And not enough hours to manage it all?This episode is for you.On this week's episode of The Intentional Fundraiser, I talk about what a healthy major gifts tech stack actually looks like, and what to do about everything that's built up around it.We cover the four core tech categories that matter for major gifts work, a five-criteria framework for evaluating any tool in your stack, where AI genuinely fits in a major gifts fundraising context, and a simple ninety-day tune-up plan that won't become another project on your plate.I open the episode with a story about two development teams. One had eleven tools and a monthly meeting just to coordinate them. The other had four and their best portfolio results in years.Here's the question the episode is built around: Is your tech stack making donor relationships easier, or is it one more thing your team has to manage around?Your answer to that question might be worth thirty minutes of your week.

Listen below or click here for full show notes Main Mission, Part 1 (with an appropriate sound effect) Starfleet Academy cancelled Star Trek: Starfleet Academy EP Confirms Season 2’s Major Risk ‘Star Trek: Starfleet Academy’ Canceled After Two Seasons Why Paramount Plus Ended Star Trek: Starfleet Academy After Two Seasons Star Trek: Starfleet Academy Ending With Season 2 Breaking — STAR TREK: STARFLEET ACADEMY Ends with Season 2, Wrapping Known Kurtzman-Era Productions – TrekCore.com ‘Star Trek: Starfleet Academy’ To End With Season 2 At Paramount+ ‘Star Trek: Starfleet Academy’ to End With Season 2 (EXCLUSIVE) William Shatner Speaks Out After Starfleet Academy’s Cancellation: ‘That Aspect Of Star Trek I’ve Always Loved’ William Shatner Breaks Silence on Surprise ‘Star Trek: Starfleet Academy’ Cancelation – Men’s Journal Paramount+ Is Dismantling Star Trek After a Historic 9-Year Streaming Run Star Trek is Adrift: Why ‘Starfleet Academy’ is Folding After Season 2 The Real Reason for Paramount Dismantling Star Trek’s 9-Year Streaming Run Isn’t What You Think David Ellison On Cost Savings, Growth, The Tech Stack & AI As WBD Merge Star Trek: Starfleet Academy Cancellation Explained By Robert Picardo These 7 Rumored ‘Star Trek’ Shows Could Save the Franchise After ‘Starfleet Academy’s Cancelation The Star Trek Series Decades In The Making Lasted Just Over 2 Months Why Starfleet Academy's Cancelation Has Me Worried About The Star Trek Franchise ‘Star Trek: Starfleet Academy’ Offers the Franchise a Unique Way Forward STAR TREK’s TV Future Explained by Alex Kurtzman Amid Paramount Skydance Changes — GeekTyrant Subspace Chatter STAR TREK: YEAR ONE Has Already Been Pitched To Paramount Skydance STAR TREK: YEAR ONE Pitch Has Officially Reached Paramount Skydance -CBR “Star Trek: Year One” Has Been Pitched – Dark Horizons Star Trek: Starfleet Academy Fan Petition Hits Milestone After Paramount+ Cancellation Petition · Renew ‘Star Trek: Starfleet Academy' for a third season – United Kingdom · Change.org Star Trek: Scouts Final Episodes Released on YouTube Star Trek: The Next Generation Star Remembers When They Weren’t Real Trek | Den of Geek NickALive!: The 16th Anniversary Bundle! | Star Trek Online 25 Years Later, Star Trek Has Revealed The Hidden Reason Starfleet Actually Began PREVIEW — Inside IDW's THE ART OF STAR TREK: LOWER DECKS – TrekCore.comAndy Weir Apologizes To Alex Kurtzman After Slamming Modern STAR TREK ‘Project Hail Mary' Author Stirs Controversy Over Failed Star Trek Pitch, Then Apologizes To Alex Kurtzman – TrekMovie.com Andy Weir ‘Star Trek’ Comments Draw Fire From Author Don Winslow ‘Star Trek’: How The Beatles Inspired Kirk and Spock's Reboot Bond Leonard Nimoy’s Positive Reaction To Star Trek: DS9’s ‘Trials and Tribble-ations’ Star Trek: Prodigy Wins Emmy Award Land The Shuttlecraft Galileo by Brian Mix — Kickstarter STAR TREK: STRANGE NEW WORLDS Season 4 Premiere Expected In Late Summer Toy Fair ’26: Nacelle announces Lucille Ball & Gene Roddenberry action figures Action Figure Insider » Nacelle Toys Reveal New Star Trek Products at #Wondercon2026 Here are links to 57  additional stories.broken out by series, movies and other categories. CLASSIC TV SERIES (in order of premiere) Star Trek: The Original Series (1966 – 1969) [3 seasons] 57 Years Ago Today, Star Trek Released A Time Travel Masterpiece That The Franchise Has Never Beaten – ComicBook.com ‘Star Trek' Actress Admits She Had a Crush on William Shatner Star Trek: The Next Generation (1987 – 1994) [7 seasons] 10 Star Trek: The Next Generation Episodes To Skip On A Rewatch Star Trek: TNG’s Chain of Command Is Mandatory Viewing for Every Sci-Fi Fan Star Trek: Deep Space Nine (1993 – 1999) [7 seasons] One Of Star Trek's Best Episodes Was Created Out Of Spite Star Trek: Voyager (1995 – 2001) [7 seasons] The Star Trek Episode That Only Exists Because Of A Sex Joke STREAMING SERIES AND MOVIES (in order of premiere) Star Trek: Picard (2020 – 2023) [3 seasons] Why 1 Returning Star Trek: The Next Generation Star Was Disappointed by Picard Season 3's Reunion – ComicBook.com ‘Star Trek: Picard’ Never Confirmed ‘Voyager’s Alternate Future Captain La Forge Reveal Star Trek’s Marina Sirtis Explained Why Comparing Her Experience On Picard Season 3 To TNG Was ‘Depressing’ | Cinemablend Star Trek: Lower Decks (2020 – 2024) [5 seasons] Star Trek: Lower Decks Made An Abandoned Vulcan Character Franchise Canon Star Trek: Strange New Worlds (2022 – present) [4th season yet to premier, 5th/final season filmed] Star Trek director ‘was very proud of’ arguably the worst Strange New Worlds episode STAR TREK: STRANGE NEW WORLDS Season 4 Promises “Classic” Episodes Alongside Bold New Experiments Star Trek: Starfleet Academy [2026 – present] [season 2 will end series] Star Trek Officially Confirms It Now Follows One of the Oldest Star Wars Rules – ComicBook.com Starfleet Academy Showrunner Teases Season 2: ‘The Dynamics You Thought Were Going to Be One Way Forever Start to Slowly Shift' – IGN REVIEW – Star Trek: Starfleet Academy “Rubincon” – Trek Central Starfleet Academy is Star Trek (despite what so-called fans would have you believe) Star Trek's Most Divisive Spin-Off Warps Past a Major Streaming Milestone Starfleet Academy's Finale Improved Because It Removed Terrible Star Trek Characters Star Trek: Starfleet Academy season 1 finale provides 6 unexpected glimpses of the future Star Trek: Starfleet Academy Is The Greatest Argument For The Return Of Long TV Seasons Yes, There Will Be a Starfleet Academy Season 2. Here’s What We Know About It – Reactor KUOW – ‘Starfleet Academy’ isn’t for everybody, but ‘Star Trek’ still is (Did ‘Star Trek’ jump the targ?) 39 Years Later, The Star Trek Franchise Just Put Itself On Trial — Again Jonathan Frakes Reacts to ‘Absurd’ Star Trek: Starfleet Academy Gag The United Federation of Planets Has a War College Now — Are We Gonna Talk About It? – Reactor Star Trek just fumbled what could have been an all-time villain reveal Star Trek: 3 Best Things About Starfleet Academy Season 1 (& The 5 Worst) – ComicBook.com Starfleet Academy season 1 finale makes it painfully obvious what's coming for the Doctor in season 2 Star Trek: Starfleet Academy Calls Out a Missing Piece of Starfleet Canon 60 Years Later Star Trek actor was Jonathan Frakes’ ‘secret weapon’ on Starfleet Academy Star Trek icon praises Starfleet Academy’s ‘great’ Khionian actor unannounced “Star Trek: Legacy” series Star Trek: Legacy Is ‘Never Gonna Happen’ Says TNG Icon Trek series that never were, for one reason or another, [such as “Phase II”] The Lost ‘Star Trek' Movies and Shows That Almost Happened—and the Stories Behind Them THEATRICAL MOTION PICTURES (in order of premiere) Star Trek: First Contact (1996) Tom Hanks Wanted To Play An Extremely Important Star Trek Character Fourth Kelvin-timeline movie [cancelled in 2025 after many false starts] Why Star Trek 4 Isn't Happening OTHER MEDIAStar Trek video games/board games We Boldly Go Hands-On With Star Trek: Infection & Live To Tell About It Star Trek toys/collectibles/other merchandise March STAR TREK Merch Roundup: Klingon Weapons, STARFLEET ACADEMY Pins, New EXO-6 Figures, and More! – TrekCore.com Star Trek Comics/graphic novels/magazines Star Trek: The Last Starship #8 Exclusive Preview Star Trek: The Last Starship #6 – Comic Book Preview MISCELLANEOUS Paramount+ / Paramount Skydance David Ellison On Cost Savings, Growth, The Tech Stack & AI As WBD Merger Star Trek related science news A Modest Proposal: Star-Trek-like Communicator Badges for Siri | Scientific American Franchise-wide/Miscellaneous All 10 Star Trek Series Finale Episodes, Ranked – AOL All 14 Star Trek Movies Ranked According To Rotten Tomatoes Paramount has a Star Trek Strategy Problem. Here Are Five Ways to Fix It. 10 essential Star Trek episodes to watch after Starfleet Academy season 1 Every Star Trek First Season Ranked Worst to Best – Reactor Everything We Know About the Future of ‘Star Trek’ Column | What ‘Star Trek' teaches us about the 21st century – The Pitt News Rod Roddenberry on Carrying Forward the STAR TREK Legacy – Nerdist The 10 Best Star Trek Episodes of All Time – ComicBook.com Where did ‘Star Trek’ go? And what does it mean for the future of Paramount – and movie theaters? – East Idaho News 10 Most Uncomfortable Star Trek Scenes Of All Time Star Trek Should Boldly Go Back To Network TV ‘Star Trek: The Next Generation’ Trivia: Take the World’s Hardest Quiz Actor Watch Jonathan Frakes Says STARFLEET ACADEMY Could Be His Last Time Directing STAR TREK — GeekTyrant Shatner's 95th sparks global Star Trek party Shatner Reveals Why He Avoids Watching Star Trek Main Mission, Part 2 (with an appropriate sound effect) Star Trek: The Cruise 2026 End Of Show It’s about time to refill the dilithium chamber and get on out of here. Find Clinton at Comedy4Cast Find Chuck and Kreg at Technorama Podcast (MUSIC IN) If you liked the show, please be sure to tell a friend about it. And subscribe, so you’ll never miss an episode. We’d love to hear from you. Follow us on BlueSky (@thetopicistrek), visit our Facebook page or call us at 816-TREKKER, that’s (816) 873-5537 Don’t put on the red shirt! END RECORDING – HAILING FREQUENCIES CLOSED

Is AI creating advantage—or exposing inefficiency at scale? Kortney Harmon breaks down why 2026 won't be defined by better tools, but by better operations.As growth slows and teams shrink, firms can't outwork broken systems. Fragmented data, bloated tech stacks, and unclear workflows are quietly draining productivity—and AI is only accelerating the problem. The firms pulling ahead are doing less, better: integrating systems, tightening workflows, and turning scattered data into operational clarity.Discover why operational discipline—not more technology—is what will separate scalable firms from stagnant ones in 2026.______________________Follow Crelate on LinkedIn: CrelateWant to learn more about Crelate? Book a demo hereSubscribe to our newsletter: https://www.crelate.com/blog/full-desk-experience

In this episode of FP&A Unlocked, Paul Barnhurst is joined by Josh LaSov to explore how FP&A is evolving with data, BI, and AI. They discuss how finance professionals can move beyond traditional reporting by combining financial and operational data, and why understanding data at a deeper level is now essential. Josh shares how AI is changing analysis, forecasting, and workflows, and how FP&A teams can use it to increase productivity and deliver faster insights.Josh LaSov is an FP&A and data professional with experience in consulting, ERP implementations, and analytics. He has implemented NetSuite and FP&A tools across many companies and previously co-founded Satori Reporting, a BI platform for NetSuite users that was later acquired by private equity. He is now the founder of Causi AI, where he focuses on building AI agents to help finance teams automate analysis, processes, and forecasting.Expect to Learn:What makes FP&A professionals stand out todayWhy combining financial and operational data is criticalHow BI tools expand the role of FP&AHow AI is improving analysis, forecasting, and workflowsHere are a few relevant quotes from the episode:“AI helps you save a lot of time, but the judgment and analysis still need to be done by you.” - Josh LaSov“You can't explain why numbers changed if you don't understand the data behind them.” - Josh LaSovJosh highlights that FP&A is no longer just about building reports or models. The role is shifting toward deeper analysis and faster decision-making. While AI can handle large amounts of data and speed up workflows, the real value still comes from understanding the business and communicating insights clearly.Campfire: AI-First ERP:Campfire is the AI-first ERP that powers next-gen finance and accounting teams. With integrated solutions for the general ledger, revenue automation, close management, and more, all in one unified platform.Explore Campfire today: https://campfire.ai/?utm_source=fpaguy_podcast&utm_medium=podcast&utm_campaign=100225_fpaguyFollow Josh:LinkedIn: https://www.linkedin.com/in/josh-lasov-7897334/Homepage: https://www.cauzzy.ai/AI Agent Marketplace: https://marketplace.cauzzy.ai/YouTube Channel: https://www.youtube.com/@cauzzyAIFollow Glenn:LinkedIn: linkedin.com/in/glenntsnyderEarn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode[02:25] – Introducing Josh LaSov[04:59] – What Great FP&A Looks Like[09:52] – Building Satori Reporting[13:19] – BI Tools and Reporting Challenges[16:25] – Introduction to Causi AI[25:05] – AI Agents and Accuracy Challenges[29:22] – How FP&A Should Use AI[36:10] – AI Tech Stack & Future Direction[43:05] – Key Skills for FP&A[46:53] – Get To Know Function

You can only grind through so many hard years before the whole industry starts to feel it.In this episode, Mike Brewer sits down with Dom Beveridge to unpack the biggest themes from this year's 20for20 survey.The overarching word for 2026 is exhaustion. That fits.After three straight years of tight conditions, stalled deals, cost pressure, and nonstop operational change, operators are ready for the next stage of the cycle.But that pressure has also forced progress.Multifamily has used this slower stretch to rethink its operating model.AI is the clearest example.Tech leaders see it as a major win.Operations leaders are still more cautious.That gap matters.AI is moving from experiment to infrastructure. Quickly! It is showing up in call handling, CRM, leasing workflows, and resident communication.Centralization is changing, too.The big shift was not removing leasing teams.It was moving admin work out of the on-site office and into shared services.That is the formula now.Support leasing.Offload admin.Let onsite teams focus on residents, relationships, and real problems.Tech stack bloat is still a major issue!! Most operators know they have too many tools.Far fewer have a plan to fix it.That is the real cost.Not just software spend.Operational drag.Too many apps mean more training, more errors, more confusion, and less adoption.Fraud is evolving as well.The issue is not only fake documents.It is also bad screening decisions on applicants who were never financially stable enough to succeed in the lease.That is why more operators are moving screening into shared services.It creates more consistent decisions and reduces pressure at the property level.Maintenance centralization, on the other hand, still looks more like talk than reality.The bigger opportunity is better intake, better data, and better execution.The through line in this conversation is simple.Tech fatigue is real!AI is getting realer! I know - not a word, but I like it! Centralization has matured.Tech sprawl is catching up to operators.And the companies that simplify fastest will have the edge. Love that word - simplify! Watch this episode if you want the clearest possible read on where multifamily operations and PropTech are headed next. Subscribe now. Every episode is built for the operator in the trenches, not the one in the boardroom.Link to the annual survey - https://20for20.com/annual-survey/20 for 20 - https://20for20.com/MultifamilyCollective Blog: https://www.multifamilycollective.comThe Daily Collective Book: https://amzn.to/3YI6BDaHosted by: https://www.multifamilymedianetwork.com

Sponsors - Claim your exclusive savings from our partners with the links below:Sourcewhale - Check Out Sourcewhale & Claim Your Exclusive Offer Here.Atlas - Check Out Atlas & Claim Your Exclusive Offer HereRaise - Check Out Raise & Claim Your Exclusive Offer Here.-------------------------Extra Stuff:Learn more about our online skills development platform Hector here: https://bit.ly/47hsaxeJoin 6,000+ other recruiters levelling up their skills with our Limitless Learning Newsletter here: https://limitless-learning.thisishector.com/subscribe-------------------------Get in touch:Linkedin: https://www.linkedin.com/in/hishemazzouz/-------------------------

In this episode, we explore the complexities of moving your online store to a better platform to handle rapid growth.Hitesh Matlani, founder of Avid Brio, explains how migrating to Shopify Plus helps brands manage more orders and complex tools without breaking. He shares real-world stories about organizing inventory, handling tricky tax rules, and using data to make better business decisions.He also gives advice on when it is the right time to switch platforms and how to avoid losing your search engine rankings during the move.Topics discussed in this episode:  How Shopify Plus handles enterprise growth. What breaks when tech setups fail.Why data loss worries many merchants. What advanced plans offer growing brands. How API limits affect system integration. Why ERP integration automates inventory sync. What signs prove it is time to replatform. Why rushed migrations lead to nightmares. How AI changes the web development market. Why smart data warehouses simplify moves. Links & Resources Website: https://www.avidbrio.comLinkedIn: https://www.linkedin.com/company/avid-brioX/Twitter: https://x.com/AvidBrio/Instagram: https://www.instagram.com/avidbrio/Get access to more free resources by visiting the show notes at https://tinyurl.com/4prbxdr4I'd love your feedback. Tap the the link to send me a text.______________________________________________________LOVE THE SHOW? HERE ARE THE NEXT STEPS!Follow the podcast to get every bonus episode. Tap follow now and don't miss out!   Rate & Review: Help others discover the show by rating the show on Apple Podcasts at https://tinyurl.com/ecb-apple-podcasts   Join our Free Newsletter: https://newsletter.ecommercecoffeebreak.com/   Support The Show On Patreon: https://www.patreon.com/EcommerceCoffeeBreak   Partner with us: https://ecommercecoffeebreak.com/partner-with-us/

Volunteer managers often rely on a mix of spreadsheets, emails, and manual processes to keep programs running. But as volunteer programs grow, those systems can quickly become overwhelming and difficult to manage. In this episode, Tobi Johnson explores the role technology plays in helping volunteer leaders work more efficiently and strategically. She breaks down the concept of a “tech stack” and explains how the right combination of tools can reduce administrative workload and create more time for relationship-building and program development. Rather than recommending specific platforms, Tobi focuses on the core functions volunteer software should support, including recruitment, onboarding, scheduling, communication, and impact tracking. She also discusses how organizations can evaluate which tools are truly necessary and avoid adding software that creates more complexity than value. If you are wondering whether your current systems are helping or slowing you down, this episode offers practical guidance on choosing technology that strengthens your volunteer strategy and supports the long-term growth of your program. Full show notes: 206. Essential Volunteer Software - The Tech Stack You Can't Afford to Skip Volunteer Software - Episode Highlights [00:26] - Why Software Matters [06:03] - Core Volunteer Functions [08:26] - Stack Evolves Over Time [09:47] - Website Is Essential [15:34] - Communication Automation [17:48] - Training and Compliance [19:06] - Recognition and Retention [27:35] - Newsletter Break [29:56] - Cost Benefit Framework [37:26] - Integration and UX Tips [41:28] - Red Flags and Support [43:03] - Final Takeaways and Wrap Helpful Links VolunteerPro Blog - Pro Roundup: A Month of Love with Free Nonprofit Tools, Downloads, and Templates  Volunteer Nation Episode #205 – My Top Time Management Tips for Overwhelmed Volunteer Managers Volunteer Nation Episode #173 – Is Your Volunteer Website Turning People Away?  Thanks for listening to this episode of the Volunteer Nation podcast. If you enjoyed it, please be sure to subscribe, rate, and review so we can reach more people like you who want to improve the impact of their good cause.  For more tips and notes from the show, check us out at TobiJohnson.com. For any comments or questions, email us at WeCare@VolPro.net.

This week, we sit down with two guests from Anthropic, Matt Samuels, Senior Product Counsel, and Den Delimarsky, a core maintainer of the Model Context Protocol, or MCP. Together, they unpack why MCP is drawing so much attention across the legal industry and why some are calling it the USB-C for AI. For law firms long burdened by disconnected systems, scattered data, and the infamous integration tax, MCP offers a shared framework for connecting models to the places where real work and real knowledge live, from iManage and Slack to email, data lakes, and internal tools.Den explains that the promise of MCP is not tied to one model or one vendor. Instead, it creates a standardized way for AI tools to securely interact with many different systems without forcing organizations to build one-off integrations every time they want to connect a new source. The conversation gets especially relevant for legal listeners when Greg and Marlene press on issues like permissions, ethical walls, least-privilege access, and auditability. The answer from Anthropic is reassuring. MCP is built to work with familiar enterprise security concepts such as OAuth and role-based access, meaning firms do not have to throw out their security model in order to explore new AI workflows.Matt brings the legal and operational lens, translating MCP into practical use cases for lawyers, legal ops teams, and security leaders. He describes how AI becomes far more useful once it has access to the systems lawyers already rely on every day, while still operating within carefully defined administrative controls. The discussion highlights a key shift in how firms should think about AI. This is no longer about asking a chatbot a clever question and getting a polished paragraph back. With MCP, firms are moving toward systems where AI can retrieve, correlate, summarize, draft, and support actions across multiple platforms, all while staying inside the guardrails set by the organization.The episode also explores how MCP fits into the rise of agentic workflows, apps, plugins, and skills. Rather than treating AI as a static assistant, Anthropic describes a future where these tools become active participants in legal work, pulling together information from multiple sources, helping assemble case timelines, drafting notes into a shared document, and supporting lawyers in a far more integrated workspace. The conversation around skills is especially useful for firms thinking about standard operating procedures, preferred drafting styles, escalation rules, and repeatable work product. Skills and MCP do different jobs, but together they start to look like the operating system for structured legal workflows.By the end of the conversation, one message comes through clearly. The legal profession is still early in this shift, but the pace is picking up fast. Both Matt and Den encourage listeners to stop treating these tools like abstract future concepts and start experimenting with them now. At the same time, they offer an important note of caution. As much as these systems promise speed and efficiency, lawyers still need to protect the craft of lawyering, their judgment, and the human choices that matter most. For firms trying to make sense of where AI is headed next, this episode offers a grounded and practical look at the infrastructure layer that could shape what comes next.Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | Substack[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.] ⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.comMusic: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

#122Josh sits down with Brianne Harvey, founder of Break Bread Consulting and the newly launched Restaurant Resource, to unpack why so many restaurant teams underutilize the powerful tools they already pay for. Using the analogy of a brand-new iPhone being treated like an old Nokia, Brianne explains how operators often invest in sophisticated systems—from back-office platforms to combi ovens—only to use a fraction of their capabilities. They explore why tech adoption breaks down, how implementation requires ongoing training and reinforcement, and what it really takes to embed systems into daily operations without overwhelming teams.Brianne shares the story behind Restaurant Resource, a free, national directory built to help operators discover software, service providers, and suppliers without biased paywalls. She discusses Break Bread's focus on emerging multi-unit brands, the operational inflection point that happens between 10 and 50 locations, and the habits that consistently show up in the best scaling restaurant groups. The conversation also dives into AI—how Brianne uses it daily to triage email, automate workflows, and accelerate research, where it falls short, and why guardrails and critical thinking matter more than ever. Throughout, one theme remains clear: technology should support hospitality, not overshadow it. In the end, the artistry, taste, and human connection at the table are still what matter most.Timestamps04:05 Why Brianne Built Restaurant Resource09:03 Break Bread Consulting And The 10 To 50 Location Inflection Point14:37 What Restaurants Get Wrong About Tech Adoption18:39 Inventory, Back Office Tools, And Data Accuracy Challenges22:00 What The Best Scaling Restaurant Groups Do Differently26:47 Apicii, Complex Openings, And Operational Mindset28:13 How Brianne Uses AI In Daily Operations34:43 Where AI Is Headed In Restaurant Tech46:51 Guest-Facing AI And The Future Of Admin Roles50:11 What AI Can't Replace: Taste, Hospitality, And Relationships52:22 Brianne's Grilled Cheese And Memorable Meals59:06 Jose Andres, Recipe Systems, And Closing ThoughtsLinks and resources

SPACs have populated the public markets with a variety of quantum computing hardware technology companies, and now one is poised to list the first quantum software company. This week, we speak with Dr. Joe Fitzsimons, CEO of Horizon Quantum, and Harry You, Chairman of dMY Squared Technology Group, Inc (OTC:DMYY). The two announced a $546 million combination in September. Joe explains how Horizon is endeavoring to create the first universal operating system for quantum computers and why that presents both challenges and opportunities while these machines are still in the error correction phase. Harry gives his perspective on how the development of the quantum computing space could mimic the trajectory of classical computing and which layers of this emerging tech stack could offer the greatest upside to public investors at this early stage.

You're not bad at tech. You've just been given the wrong information about what you actually need to run a coaching business.In this episode, I'm breaking down the exact tech stack I recommend for coaches over 50 who are in the building phase of their business. No complicated funnels, no expensive platforms, no overwhelm. Just six simple, affordable tools that work.Here's what I cover:Why you already know more about tech than you thinkThe 6 essential tools to run and grow your coaching business (and how much they actually cost) How AI tools like ChatGPT can replace expensive platforms you don't need yetWhat you do NOT need, and what to stop paying for right now  How to look like a total professional without a complex setup Why simple tech is the secret to staying out of overwhelm and getting clients fasterIf you've ever felt stuck, overwhelmed, or like technology was standing between you and your coaching business, this episode will change how you see it.Ready to build your coaching business the simple way? Start with my free Business Assessment at https://www.debbieshadid.com/schedule Let's connect! Website: https://www.debbieshadid.com Instagram @debbieshadid Subscribe on YouTube #DebbieShadid #LifeCoachBusinessBuildingSchool

If she could build a scalable sales system in 1906… what's your excuse?Madam C.J. Walker didn't just sell haircare products.She built a repeatable leadership system that trained thousands of women to distribute them without her being in every room.In this kickoff episode of the She Built This series, Dawn unpacks the real reason Walker became one of the first self-made women millionaires in American history  and why most modern founders are still stuck because they refuse to document what only lives in their heads.This is not a history lesson. It's a founder wake-up call.If you're ready to stop being the bottleneck and start building systems that scale without you, join us inside the AI for Founders Community on LinkedIn.It's free. It's strategic.And it's full of founders doing the real work of delegation, leadership, and AI-powered systems.What You'll Learn in This EpisodeWhy systems — not hustle — are the real growth strategyThe 3 structural moves Walker built that most founders still skipHow to stop being the bottleneck and step into real CEO leadershipWhy delegation failures are usually documentation failuresHow AI can help you finally get your processes out of your head and into scale-ready formResourcesJoin the AI for Founders Community Send a text AI in Action Conference March 19th and 20th in Grand Rapids, Michigan. Get In the Room! https://hellodawn.live/Action2026Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

#798 What if the secret to scaling your solopreneur business was hiding in your tech stack? In this episode, host Brien Gearin sits down with Ernesto Mandowsky — founder of MDM (Million Dollar Machine) — to explore how entrepreneurs can use tools like Notion, ConvertKit, and more to streamline operations, deliver five-star client experiences, and build systems that actually support growth. Ernesto shares his journey from throwing a $35K party at 18 to transforming legacy restaurants and launching a tech integration consultancy that serves coaches, consultants, and creators. Whether you're stuck in survival mode or scaling to seven figures, this episode is full of actionable insights for turning your business into a well-oiled machine! (Original Air Date - 7/1/25) What we discuss with Ernesto: + $35K party kickstarted entrepreneurship + From Deloitte to culinary school + Helping solopreneurs scale with tech + Using Notion as a business hub + The Five Recipes business framework + Solving tech overwhelm with systems + Building a team to free up time + Using AI for podcast prep and automation + Client journey from “pop-up” to “brasserie” + Scorecard tool for business clarity Thank you, Ernesto! Check out Million Dollar Machine at ⁠YourMDM.co⁠⁠⁠⁠. Follow Ernesto on ⁠LinkedIn⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Everyone says you need to "Start an AI Agency" to make millions in 2026. And technically, the hype is there ($307 Billion was spent on AI implementations last year). But if you're reading this, you probably know the uncomfortable truth. Most of those projects are failing. The problem isn't the "AI" or the "Client." It's the Learning Gap. Most agencies are selling "tools" (chatbots) when businesses are desperate for "outcomes" (custom automation). The method that actually saved my business $44,000/year—and is generating up to $10 returns for the top 5% of companies—is simple: The Architect Method. So today, I'm going to show you how to stop "prompting" and start "architecting." We are going to build a custom, enterprise-grade solution that replaces expensive software... without writing a single line of code yourself. We analyze the conflicting data between the IDC Spending Report and the MIT Failure Study. We then break down the "Architect" logic that separates the 95% who fail from the 5% who succeed. Finally, we use Claude to run a "Tech Stack Interview" and build a recursive, self-correcting automation system for High Level and Google Workspace. Anyway, here is how we will use AI to stop guessing and start building: Step 1: The "$307 Billion Lie." We look at the stats (95% failure rate) and explain why the "Standard Agency Model" is dangerous for beginners. If you are just selling "implementation," you are selling a commodity. Step 2: The "Learning Gap" (MIT Study). We reveal why AI tools "drift" and fail over time. The secret isn't better prompting—it's building a system that understands your specific Tech Stack context before it writes a single word. Step 3: The "Architect" Protocol. Most people ask AI to "do the work." I show you how to ask AI to "design the blueprint" first. We use the Recursive Self-Correction technique to have the AI write its own Python scripts and fix its own errors. Step 4: The "Tech Stack Interview." We watch live as I get the AI to interview me about my specific setup (High Level, Gmail, Custom Database). This ensures the code it writes actually works for my business, eliminating the "Hallucination" problem. If you want to be part of the 5% making AI work instead of the 95% burning cash, this video shows you the shift you need to make.

I've spent the past 5 years trying to navigate the internet without handing my data (& life) over to surveillance capitalism.In today's episode, I'm sharing my current tech stack — the browsers, search engines, email providers, and other tools that I use to share my wrk online without Google, Facebook, or AI overlords.As you listen, please know this effort is a work in progress and always evolving! You can learn my entire process by taking my class OPT OUT: 5 Steps to Break Up with Big Tech Today. My current privacy-focused tech stackKagi search + Orion browserProton Mail (affiliate link) + Zoho MailSignalFind everything else mentioned here: offthegrid.fun/shownotes/privacy-focused-tech-stack  RESOURCES + LINKS

Ever find yourself drowning in software subscriptions and wondering if there's a better way? Yeah, me too. That's why I wanted to pull back the curtain and show you exactly what's in my 2026 tech stack: the tools that actually run both InTune Family Counseling and Productive Therapist. In this episode, I'm walking through my practice management tools, team collaboration setup, phone system (and why I don't recommend what I currently use

Your tech is supposed to give you back TIME. So why are you spending 10-15 hours a week buried in manual tasks? In this episode, I'm breaking down the Frankenstein tech stack problem that's eating your profit and energy. If you're bouncing between six different platforms, copying and pasting data, and drowning in tools that don't talk to each other, this is for you. You'll learn: The exact tech audit I use to identify what's costing you time versus saving you time My non-negotiable tools (spoiler: you need way less than you think) Revenue-based tech recommendations for 5-10K, 10-20K, and 20K+ months Why simple sticks and how to stop adding layers of complexity The migration strategy that won't overwhelm you Special shoutout to Shine Pages for being the all-in-one platform that consolidates website, email marketing, scheduling, and payment processing. Check out the 14-day trial in the show notes. Stop letting tech drain your profit. Start using it to get your life back. Connect with Amanda: Instagram: @awalkmyway (https://www.instagram.com/awalkmyway/) "How To Get Clients" Limited Series: amanda-walker.com/limitedseries 10 Powerful Questions: amanda-walker.com/questions

Creative teams struggle with approval bottlenecks and manual handoffs. Christine Royston, CMO at Wrike, explains how AI-led orchestration streamlines creative collaboration for 20,000+ companies including Airbnb and NVIDIA. She details automated approval routing systems that eliminate confusion over roles and responsibilities, centralized workflow management that keeps all reviews and commentary in one platform, and intelligent task orchestration that automatically routes work to the right people with clear deadlines.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.