Podcasts about tech stack

Running your dev process off your main machine doesn't have to mean the cloud. Scott and Wes break down how to host projects on a box you can reach from any device, close your laptop mid-build, and keep long-running processes alive. They cover Scott's stack (Mosh, Caddy, Tailscale, Zed, and terminal AI agents like Claude Code), the annoyances of mobile TUIs, and whether it beats staying local. Show Notes 00:00 Intro 00:36 Welcome to Syntax! 01:56 Benefits of Remote Development 07:50 Process for Remote Development 09:34 Tech Stack for Remote Development Mosh instead of SSH Caddy for domains and routing Tailscale for local network Zed editor Herdr for terminal sessions Opencode or ClaudeCode for AI via the term Termius for iOS AI 15:09 Tools and Alternatives for Remote Development 21:16 Exploring Workspaces and Terminal Management 30:31 Mobile Terminal Applications and Their Features 32:30 Navigating the Terminal Landscape: Tools and Alter 35:22 Headless Browsers and Authentication Challenges 38:35 Work Trees and Their Use Cases 44:21 Cloud Hosting and Local Development Solutions 45:28 Sick Picks & Shameless Plugs. Sick Picks Scott: Elgato Stream Deck Pedal Wes: Packing Cubes Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Financial advisors are being pitched new AI tools almost every day.The promise is simple: more automation, better client service, and fewer hours buried in administrative work.But adding AI to a fragmented technology stack doesn't automatically make your business smarter. If your client data is incomplete, trapped inside disconnected systems, or flowing through tools you haven't properly vetted, AI may amplify the problems you already have.Today, I'm talking with Triad's Chief Technology Officer, Quin Kilgore, to explore why the next era of advisor technology won't be won by the firm with the most software.We discuss why the tools that helped build your firm may not be the tools that carry it forward, where convenience can create hidden compliance risks, and how AI could reshape everything from marketing attribution and advisor coaching to client events and everyday operations.3 Insights From This Week's Episode…#1.) The Hidden Risk Beneath Every AI Tool Advisors tend to focus on what a new AI tool can do. But the bigger risk may be hiding in incomplete client records, fragmented systems, and unclear data policies. We explore why AI adoption can make weaknesses in your firm's foundation much harder to ignore.#2.) Why Today's Tech Stack May Become Tomorrow's BottleneckFor years, advisory firms built their businesses around software that was expensive to customize and painful to replace. Quin explains how quickly that equation is changing, and why advisors may need to reconsider what a “core” technology system even looks like.#3.) The Client Intelligence Advisors Are Leaving BehindYour client conversations contain far more valuable information than a traditional fact finder can capture. We explore what becomes possible when that information can be organized, understood, and used throughout the firm.INTERESTED IN TRIAD'S AI MASTERMIND?Triad's AI Advisor Lab, led personally by Michael Hyatt, is built for financial advisors who want to cut through the hype, apply AI more effectively, and stay ahead as the industry evolves. Apply here to see if the mastermind is the right fit for your firm: https://bradleyjohnson.com/178-ai-advisor-labSHOW NOTEShttps://bradleyjohnson.com/178FOLLOW BRAD JOHNSON ON SOCIALXInstagramLinkedInFOLLOW DBDL ON SOCIAL:YouTubeTwitterInstagramLinkedInFacebookDISCLOSURE DBDL podcast episode conversations are intended to provide financial advisors with ideas, strategies, concepts and tools that could be incorporated into their business and their life. No statements made in the episode are offered as, and shall not constitute financial, investment, tax or legal advice. Financial professionals are responsible for ensuring implementation of anything discussed related to business is done so in accordance with any and all regulatory, compliance responsibilities and obligations. The Triad member statements reflect their own experience which may not be representative of all Triad Member experiences, and their appearances were not paid for. Triad Wealth Partners, LLC is an SEC Registered Investment Adviser. Please visit Triadwealthpartners.com for more information. Triad Wealth Partners, LLC and Triad Partners, LLC are affiliated companies. TP07265629240See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Every new piece of software promises to make your firm more efficient. Yet as your tech stack grows, so do the manual workarounds, disconnected data, and operational bottlenecks. Before long, your team becomes the integration layer between systems that were never designed to work together. Jim Andresen, the Chief Operating Officer of TorkLaw, oversees marketing, intake, HR, office operations, and IT for one of the nation's fastest-growing plaintiffs' firms. He's also the CEO of LawWorks, an AI-native operating system built from the operational challenges TorkLaw faced while scaling nationwide. In this episode, Jim joins Chris Dreyer to explain why disconnected technology quietly limits growth, how fragmented data weakens AI, and what firms should prioritize before adding another tool to their stack. They also discuss scaling across multiple states, choosing the right technology, building operational flexibility, and why the future belongs to firms that own—not rent—their data. You'll learn: Why legal tech becomes less effective when disconnected systems create operational bottlenecks. How AI-native operating systems improve data quality and workflow automation. What law firms should consider before investing in new case management software. Why controlling structured and unstructured data strengthens AI performance. We help elite personal injury firms turn their marketing into qualified opportunities and high-value signed cases. Check us out at Rankings.io. Like what you hear? Hit Subscribe! We do this every week. If you want to keep learning from the best voices in PI, join us at PIMCON 2026. Buy your tickets now! Subscribe to our newsletter and get the freshest news every Monday: newsletter.rankings.io Get Social! Personal Injury Mastermind w/ Chris Dreyer powered by Rankings.io is on Instagram | YouTube | TikTok

Roger and Annie preview Roger's upcoming NATP presentation, using ERC and the Kwong case as case studies for how firms can turn disruptive tax changes into revenue rather than just extra work. They walk through the mistakes made during ERC (delayed action, existing-clients-only focus, missed growth opportunity), the closing window on Kwong refund claims, and what firms need in place internally and externally to capitalize on the next unexpected change. The conversation closes with a candid take on AI's role in reshaping the profession, and why proactive communication, not tax return production, is where firms will keep their value.SponsorsPadgett -  Contact Padgett or Email Jeff PhillipsGet NASBA Approved CPE or IRS Approved CELaunch the course on EarmarkCPE to get free CPE/CE for listening to this episode.Chapters(00:00) - Welcome Back Annie (00:50) - Previewing The Conference Talk (02:46) - Clients Want Advisory (08:09) - AI And The Future (10:03) - ERC Lessons Learned (15:16) - Tools For Fast Changes (17:29) - Marketing Beyond Clients (26:05) - OBBA And Data Mining (31:14) - Invest in Tech Stack (32:16) - OBB Client Communication (34:58) - Kwong Case Refund Window (39:29) - Data Mining and Online Accounts (41:45) - Communicate Even If Referring (46:18) - From Awareness to Action Plan (48:08) - AI as Drafting Assistant (49:39) - Future of Advisory Work (53:18) - AI Judgment and Pricing (58:08) - Wrap Up and Next Updates Follow the Federal Tax Updates Podcast on Social Mediatwitter.com/FedTaxPodfacebook.com/FedTaxPodlinkedin.com/showcase/fedtaxpodConnect with the Hosts on LinkedInRoger HarrisAnnie SchwabReviewLeave a review on Apple Podcasts or PodchaserSubscribeSubscribe to the Federal Tax Updates podcast in your favorite podcast app!This podcast is a production of Earmark MediaThe full transcript for this episode is available by clicking on the Transcript tab at the top of this pageAll content from this podcast by SmallBizPros, Inc. DBA PADGETT BUSINESS SERVICES is intended for informational purposes only.

If you've ever DM'd — or emailed, or texted, or asked on a discovery call — "wait, what tools do you actually use to run your business?" you're not alone. It's one of the most common questions I get, and until now, the answer's only ever lived in her replies. This episode puts it in one place, once and for all.This isn't a roundup of trendy tools I've never actually used. It's the exact stack running my business right now — website, email, podcast, content, and client management — broken down tool by tool, and tied back to the four pillars of marketing without social media: your email list, your website, your podcast or content, and the SEO that helps people find it all.What you'll learnThe website platform I uses for her own business and recommends to my web design clients — and whyHow to choose an email platform that actually reflects your brand, not just your messageWhat it really takes to run a professional podcast without a studio or a production teamWhy "systems" like client management software are quietly part of your marketing, whether you think of them that way or notWhere AI tools fit into an owned-media content process — and where I draw the lineEpisode Highlights[00:00] Why Jan finally put her entire tech stack in one place — and why you've probably been asking this question too[02:15] The website platform running Jan's business, and how it protects the one digital asset that's fully yours[05:40] The email platform Jan uses to build trust before a subscriber reads a single word [08:50] How Jan records and produces a professional podcast without a studio — and why that barrier is lower than you think[12:00] The tool keeping Jan's content plan organized across every channel, and why "more ideas" usually isn't the actual problem[15:10] The behind-the-scenes system that protects the client experience once someone says yes[17:30] How Jan uses AI in her content process — and the one line she won't let it cross [19:45] Bringing the whole stack together: picking the right tool for the season you're actually inKey Takeaway"None of these tools are the strategy. They're just the vehicles. It's not about having the most tools or the trendiest ones — it's about having the right ones for the season you're actually in."Resources MentionedShowit — website platform (JanTouchberry.com/showit)Flodesk — email marketing platform (JanTouchberry.com/email)Riverside — podcast recording platform (riverside.fm)Enji — marketing hub for content planning (JanTouchberry.com/marketing)HoneyBook — client management and CRM (JanToucberry.com/Honeybook)Claude — AI assistant for content production (claude.ai)CONNECT WITH JAN:Here are all the best places and FREE stuff

Continuing their discussion of The Agency Fund's proposed technology stack for the social sector, David and Santiago explore the three frontend approaches outlined in the article: frontline worker tools, chatbots, and custom applications. Drawing on their own experience developing digital tools for social impact, they reflect on the strengths, limitations, and future potential of each approach. https://theagencyfund.substack.com/p/a-default-tech-stack-for-the-social

SummaryIn this episode, Josh Nielsen, founder and CEO of ZenCastr, shares the journey of building a remote podcast recording platform, lessons learned from early challenges, and insights into scaling a tech business during COVID-19. Discover how innovation, timing, and customer feedback shaped ZenCaster's evolution and its role in empowering podcasters.TakeawaysBuilding a remote recording platform for podcastersLessons learned from early product challengesThe impact of browser technology on product developmentStrategies for scaling a tech business during COVID-19Innovations in audio and video integrationMonetization strategies for small and large podcastsThe importance of customer feedback and product-market fitHiring and leadership lessons from a founderFundraising decisions during rapid growthChapters00:00 Introduction and Background00:30 Origin of ZenCastr04:05 Realizing the Potential in Podcasting06:23 Lessons Learned from Building ZenCastr09:19 Monetization and Growth11:38 Expanding ZenCaster's Services12:14 Monetization Options for Small Podcasters13:44 Building a Podcast Network for Everyone15:13 Using Growth Algorithms to Grow Podcasts20:48 Expansion into Show Growth and Cross-Promotion23:21 Growing Pains and Hiring a Co-Founder25:46 Lessons Learned and the Importance of Co-Founders29:23 Transitioning from Developer to Business Leader30:32 Transitioning from Solo Operation to Leading a Company35:24 Fundraising and Making Decisions38:14 Scaling the Business and the Need for Funding41:35 Tech Stack and Building the Platform48:29 Hiring and Building the Team51:08 Transitioning from Programming to Leadership54:08 Staying Engaged with Programming55:04 How to Connect with JoshLearn more: https://zencastr.com/https://www.linkedin.com/in/joshnielsen/Credits:Hosted by Ryan RoghaarProduced by Ryan RoghaarTheme music: "Perfect Day" by OPM  The Eggs Podcast Spotify playlist:bit.ly/eggstunesThe Plugs:The Show: eggsthepodcast.com@eggsthepodcast on X and InstagramMike "DJ Ontic": Shows and info: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠djontic.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@djontic on twitterRyan Roghaar:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠rogha.ar⁠⁠

Technology should make accounting firms more efficient, but many firms have accumulated layers of disconnected tools that create complexity rather than clarity. In this discussion, Heather Smith is joined by Tyler Caskey from The Bean Counters and John Munden from Cloud Office to explore how firms can simplify their technology stack, improve workflow visibility, reduce manual work and make better technology decisions. Key Discussion Points Tyler Caskey shares why firms often accumulate too many disconnected tools and how visualising workflows can reveal inefficiencies. John Munden explains how standardised workflows help reduce bottlenecks, improve onboarding and create consistency across teams. The panel discusses common technology traps including decision fatigue, duplicated processes and underutilised software. Practical advice is shared on auditing a tech stack, identifying manual processes and prioritising integrations. The conversation explores leadership, change management, client communication challenges and the future role of automation and API-driven workflows. The key takeaway is that firms do not need more technology. They need better connected technology, clearer workflows and a structured approach to change. By focusing on visibility, automation and process consistency, accounting firms can reduce overwhelm and create scalable systems that support long-term growth. Episode resources and links:   Tyler Caskey : https://www.linkedin.com/in/tylercaskey/ John Munden :  https://www.linkedin.com/in/jmunden/ Cloudoffis : https://cloudoffis.com.au/ Apps & Tools Mentioned Xero, SharePoint, APS, Excel, Microsoft Lists, HandiSoft, BGL, NowInfinity, FYI Docs, Xero Practice Manager, Content Snare, Annature, Adobe Sign, DocuSign, Employment Hero, MYOB, QuickBooks, Stripe, Pinch Payments, Macquarie Bank Feeds, Mayday, Seamless If this episode helped you, the best way to support the show is to leave a review somewhere as it helps more people find us. And if you want to continue the conversation, come find me Heather Smith | Accountant and Storyteller on:   LinkedIn: https://www.linkedin.com/in/HeatherSmithAU/ Accounting Apps newsletter: http://accountingapps.io/ Accounting Apps Mastermind: https://www.facebook.com/groups/XeroMasterMind YouTube Channel: https://www.youtube.com/ANISEConsulting X: https://twitter.com/HeatherSmithAU

"David and Santiago discuss The Agency Fund's recent article on a technology stack for the social sector, exploring the backend systems that make modern AI-enabled tools possible. From LLM gateways and agent builders to data pipelines, monitoring, and experimentation, they examine the growing ecosystem of open tools that can help small organisations access capabilities once reserved for large technical teams. Along the way, they reflect on how these developments relate to IDEMS' own work and why this is an exciting moment for organisations seeking to build impactful technology with limited resources. https://theagencyfund.substack.com/p/a-default-tech-stack-for-the-social"

What apps and tools do you actually need to run an online business while traveling the world? In this episode, I share my complete digital nomad tech stack that I've used to make over $1 million online from around the world. Whether you're building an online business, creating content, or dreaming of working from anywhere, you'll learn everything you need to travel AND grow. Links: ClickUp: https://try.web.clickup.com/x8hy18zqoiuz ActiveCampaign: https://try.activecampaign.com/ugizyfl7ufzv Riverside.fm: https://riverside.sjv.io/c/3325409/3200238/28064 ThriveCart: https://thewanderlover--checkout.thrivecart.com/thrivecart-standard-account/ Adobe: https://adobe.prf.hn/click/camref:1100lupfB  NordVPN: https://go.nordvpn.net/aff_c?offer_id=15&aff_id=104585&url_id=902 BlueHost: https://bluehost.sjv.io/9Wm7zW Libsyn: https://goto.libsyn.com/L0RdGj Nordace Backpack:https://www.avantlink.com/click.php?tt=cl&merchant_id=8898599c-c32e-4802-a5ea-2905034bfdf0&website_id=0c00ff9a-c5d4-4396-824a-7c582389bd85&url=https%3A%2F%2Fnordace.com%2Fen%2F ---------------- ⟡ Instagram: https://www.instagram.com/thewanderlover/ ⟡ Podcast: https://thewanderlover.com/podcast ---------------- RESOURCES FOR YOU: ⟡ Your 0 to $100K Game Plan: https://thewanderlover.com/100k-game-plan/ ⟡ Make Your First $5k Online: https://thewanderlover.com/business-academy/ ⟡ Become a PAID Travel Creator: https://thewanderlover.com/travel-influencer-handbook/

The Road to Macstock stops to talk to Paula Marie Davis, who previews her first Macstock appearance and the path that led her from longtime Mac user and wellness coach to launching Ditch the Dogma with Ecamm. She explains why creators need to care for the person running the tech stack, how conference inspiration can become post-event exhaustion, and how movement, time mapping, and small wellness practices can support energy, creativity, and follow-through.  This edition of MacVoices is supported by MacVoices Magazine, our free magazine on Flipboard. Updated daily with the best articles on the web to help you do more with your Apple gear and adjacent tech, access MacVoices Magazine content on Flipboard, on the web, or in your favorite RSS reader. Show Notes: Chapters: 00:34 Introduction to Paula Marie Davis 01:10 Discovering MacStock Through Ecamm 02:07 Paula's Long History with the Mac 03:01 Moving From StreamYard to Ecamm 03:49 Launching Ditch the Dogma 04:07 Wellness Without One-Size-Fits-All Rules 06:37 Falling in Love with Ecamm 07:23 Bringing Wellness to the MacStock Stage 08:50 Rebooting Yourself: The Upgrade Behind the Tech 09:30 Supporting the Person Running the Tech Stack 10:20 Turning Conference Inspiration Into Implementation 11:41 Wellness, Confidence, and Content Creation 13:17 Making the Session Interactive 14:40 Finding Time for Wellness Practices 16:35 Handouts, Time Maps, and Practical Takeaways 17:04 MacStock Discount Code and Event Details 17:55 Where to Find Paula Marie Davis Links: Macstock Conference http://macstockconference.com Paula's Discount Code: ditchdogma  Guests: Paula Marie Davis is a well-being advocate and creator, soon relaunching the Ditch the Dogma Live Show (June 3, 2026). Known for her grounded, no-BS approach to health and life, she says what most people tiptoe around. A mother of five and a wife for over 30 years, Paula brings real-life experience, not just theory, to every conversation. For more than two decades, Paula's work has been shaped by hands-on experimentation, uncovering what actually helps women feel strong, clear, and capable without chasing quick fixes, one-size-fits-all solutions, or handing power to so-called gurus. Working from her home studio in Illinois, she focuses on practical movement, breathwork, and holistic routines tailored for real life, not trends. Her approach centers on daily habits that help the body handle stress, use energy efficiently, and sustain long-term health. After years of building and marketing her own business behind the scenes, Paula now brings that work into livestreaming and digital content. While her work is rooted in helping women, the principles she teaches apply to anyone who wants to better understand and support their health, so they can consistently show up, be visible, and share the message they were created to deliver. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Welcome to the CanadianSME Small Business Podcast, hosted by Maheen Bari. Today, we explore how modern financial systems and cloud technology are helping businesses move from confusion to clarity. Joining us is Depo Ogunruku, Chartered Professional Accountant and Founder of Outsourced Finance. Depo shares how SMEs can use smarter financial systems to improve cash flow, reduce stress, and scale confidently. Key Highlights Finance Transformation: Depo explains how cloud accounting is reshaping business finance. Cash Flow Reality: Depo shares why profitable businesses can still face cash shortages. Financial Mistakes: Depo highlights the most common errors business owners should avoid. Scaling Finance Teams: Depo explains when businesses should bring in financial experts. 2026 Financial Systems: Depo outlines the systems needed for sustainable growth. Special Thanks to Our Partners: UPS: https://solutions.ups.com/ca-beunstoppable.html?WT.mc_id=BUSMEWA ADP Canada: https://www.adp.ca/en.aspx For more expert insights, visit www.canadiansme.ca and subscribe to the CanadianSME Small Business Magazine. Stay innovative, stay informed, and thrive in the digital age! To learn more about how we are supporting the ecosystem, please visit the CanadianSME Small Business Foundation at smbfoundation.ca. Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation

In this special HITEC edition of The Modern Hotelier, hosts David Millili and Steve Carran sit down with Apaleo co-founder Philip von Ditfurth and SVP Revenue Florian Montag to explore the future of hospitality technology, AI, and open platform architecture.The conversation dives into why Apaleo chose a composable, API-first approach long before it became an industry trend, how leading hotel brands are leveraging technology to improve both guest experiences and operational efficiency, and what hoteliers need to do today to prepare for the rise of agentic AI.Philip shares lessons learned from building technology platforms across fragmented industries, while Florian offers a hotelier's perspective on AI adoption, governance, and the importance of creating a future-ready technology foundation. Together, they discuss why flexibility, open infrastructure, and strategic technology decisions will define the next generation of successful hotel operators.Key Topics Include: The power of open APIs and composable hospitality technology  Why AI readiness starts with the right technology foundation  Lessons from innovative hotel brands like citizenM Building a future-proof hotel tech stack  The balance between guest experience and operational efficiency Watch the FULL EPISODE on YouTube: https://youtu.be/uBwm8n1ExM8Links:Philip on LinkedIn: https://www.linkedin.com/in/philip-von-ditfurth-1a570/ Florian on LinkedIn: https://www.linkedin.com/in/fmontag/Apaleo: https://apaleo.com/For full show notes head to: https://themodernhotelier.com/episode/296Follow on LinkedIn: https://www.linkedin.com/company/the-..Join the conversation on today's episode on The Modern Hotelier LinkedIn pageConnect with Steve and David:Steve: https://www.linkedin.com/in/%F0%9F%8E...David: https://www.linkedin.com/in/david-mil.

In episode 164 of The Side Hustle Experiment Podcast  John (https://www.instagram.com/sidehustleexperiment/ ) and Drew (https://www.instagram.com/realdrewd/) Jack Poulin  (https://www.instagram.com/jackpoulinn/) He shares his journey from sneaker reselling to becoming a growth operator, and dives deep into offer creation, marketing strategies, and building a successful coaching business in the Amazon space.Don't forget to Like, Subscribe, and hit the bell so you don't miss future episodes with top entrepreneurs and creators.Chapters00:00 Introduction to Growth Operating02:39 Jack's Journey to Becoming a Growth Operator05:41 Understanding Offer Structures and Market Gaps08:30 The Importance of Unique Mechanisms in Offers11:15 Learning and Development in the Coaching Space13:52 Evolving Offer Structures in Coaching16:47 Differentiating Yourself in a Saturated Market19:31 The Role of Organic and Paid Strategies22:41 Effective Outbound Strategies for Client Acquisition25:37 Closing Techniques and Sales Call Dynamics28:18 Structuring Deals and Partnerships30:36 Identifying Operational Gaps32:06 Partnership Structures and Revenue Sharing32:57 Learning from Mistakes in Business34:32 The Importance of Delegation36:16 The Journey of Building a Team37:59 The Role of Content Creation40:02 Client-Centric Business Philosophy41:45 Effective Funnel Strategies42:04 Tech Stack and Automation in Business44:59 Nurturing Leads through Email Marketing47:12 Leveraging AI for Business Efficiency49:08 The Value of Young Entrepreneurship#makemoneyonline #sidehustleexperimentpodcast #sidehustles Follow us on Instagram: https://www.instagram.com/sidehustleexperimentpodcast/ Listen on your favorite podcast platformYoutube: https://bit.ly/3HHklFOSpotify: https://spoti.fi/48RRKcPApple: https://apple.co/4bmaFOk Check out Drew's StuffInstagram: https://www.instagram.com/realdrewdTwitter: https://twitter.com/DrewFBACheck out John's StuffInstagram: https://www.instagram.com/sidehustleexperiment/Twitter: https://twitter.com/SideHustleExp FREE ResourcesFREE Guide: How to Make Money Reviewing Products https://bit.ly/3HIGFSP

Join us for “Pass the Baton: Relay Your Way to Accounting Wins” and discover how Relay helps accountants hand off tedious tasks, streamline workflows, and boost recurring revenue. Learn actionable strategies to save time, deliver more value to your clients, and finish ahead of the competition—no running shoes required. Chloe Deree from Relay will be on hand to discuss how adding a Bank to your Tech Stack saves you time, saves your client's money, and can benefit you and your firm long after your engagement ends.Learn More about the Relay Partner Program here: https://www.schoolofbookkeeping.com/qb-power-ups-relay-PA QB Power Hour is a free, biweekly webinar series for accountants, ProAdvisors, CPAs, bookkeepers and QuickBooks consultants presented by Dan DeLong and Sharring Fuller who are very passionate about the industry, QuickBooks and apps that integrate with QuickBooks.Connect with Sharrin's Clone and Conquer Hub: https://snip.ly/SharrinQBPHGet QuickAnswer with Dan's School of Bookkeeping Community: https://snip.ly/QuickAnswersWatch or listen to all of the QB Power Hours at https://www.qbpowerhour.com/blogRegister for upcoming webinars at https://www.qbpowerhour.com/ 

Remi Kalir shares the Fair Feedback Project for addressing bias in student evaluations on episode 628 of the Teaching in Higher Ed podcast. Quotes from the episode If you actually have students write about affirming values as a kind of open free write before they complete an evaluation of teaching, it actually has been shown to mitigate bias. -Remi Kalir There are many people who are experiencing the effects of these structural patterns of bias who don’t look like me. So what can I do? How can I show up as an individual in this? -Remi Kalir I did not want people coming to the Fair Feedback project and then having long-winded, tangential, potentially problematic conversations with Claude as a chatbot. -Remi Kalir You can call it my complicity, you can call it my complexity, whatever you might call it, but I am very much entangled in this AI moment, trying to understand how I am navigating all of this. -Remi Kalir Resources The Fair Feedback Project Remi Kalir at the Duke Center for Teaching and Learning Remi Kalir — remi(x)learning Claude’s Remi Record The Research on Course Evaluations, with Betsy Barre (Teaching in Higher Ed) The Potential Impact of Stereotype Threat, with Robin Paige (Teaching in Higher Ed Episode 79) How Better Teaching Can Make College More Equitable, with David Gooblar (Teaching in Higher Ed Episode 599) Claude M. Steele, Stanford Department of Psychology Whistling Vivaldi: How Stereotypes Affect Us and What We Can Do, by Claude M. Steele Ludmila Praslova, PhD — Vanguard University The Canary Code: A Guide to Neurodiversity, Dignity, and Intersectional Belonging at Work, by Ludmila N. Praslova Teaching: Is There a Fix to the Teaching-Evaluation Problem? by Beth McMurtrie (The Chronicle of Higher Education) A Practical Guide to Modern Teaching Evaluation, by Michael McCreary (Engaged Learning Collective) Transforming College Teaching Evaluation: A Framework for Advancing Instructional Excellence, by Ann E. Austin, Noah D. Finkelstein, Andrea Follmer Greenhoot, Doug Ward, and Gabriela Cornejo Weaver Rebecca Fordon — AI Law Librarians Aria Chernik, JD, PhD — Duke Learning Innovation & Lifetime Education Claude Code Cowork by Claude Bartz v. Anthropic — Anthropic Copyright Settlement Anthropic Settles With Authors in First-of-Its-Kind AI Copyright Lawsuit (NPR) My Tech Disclaimer, by Doug Belshaw My 2026 Tech Stack, by Bonni Stachowiak (Teaching in Higher Ed) The Data Fix with Dr. Mél Hogan (podcast) Poll Everywhere

Sana Learning is a revolutionary product in the $400 Billion L&D market. Today I sat down with Rita Azevedo, Director of Client Engagement at Sana, to talk about everything. What is AI-native learning, how does Sana Learning fit into Workday's strategy, and how do companies like Polestar, Rolls Royce, Travelers, and others revolutionize L&D with Sana. And most of important of all, we get Rita's perspective on the reinvention of L&D, which we call “Dynamic Enablement for Growth.” As you'll hear, AI-native learning platforms like Sana can totally transform training teams, turning them into “business enablement” functions working directly in the business. We discuss how Polestar has done this in detail. Rita is an experienced L&D leader (having lead training at Klarna) and has worked at Sana since the company had only 30 employees, so she has a wealth of knowledge and experience in AI transformation in L&D. PS: We are customers of Sana (Galileo Learn is built on Sana, and our new Global HR Excellence Certification is built on Sana), so we can speak to its features in detail if you're interested. Chapters 00:00 Introduction to the Podcast and Guest 01:44 The Revolution in Learning and Development 03:30 Sana's Position in the Learning Market 05:53 Understanding Sana Learning's Unique Features 07:08 The Future of Learning: Proactive vs. Reactive 09:11 Case Study: Polestar's Learning Approach 12:47 User Experience and Integration in Learning 14:07 The Role of AI Tutors in Learning 16:07 Dynamic Skills Assessment in Learning 18:42 The Shift in L&D Responsibilities 21:35 Empowering Subject Matter Experts 24:25 Managing Content Creation and Quality 27:18 The Future of Learning and Change Management 31:02 Advice for Organizations Exploring Learning Solutions   Additional Information The AI Native Revolution in Corporate Learning (research) Our new Corporate Learning Maturity Model HR 2030: The New Role, Operating Model, and Tech Stack for HR Get Galileo: Experience Sana Yourself! Chapters (00:00:00) - Meet Rita Azevedo from sana(00:02:16) - SANAA's Take on Learning & Development(00:04:26) - Sauna Learning: Workday Learning Powered by Sauna(00:06:34) - Sana Learning's AI-based Learning Platform(00:10:12) - Sales Training: The Future of Learning at Sana(00:13:33) - L&D 2.8: User Experience(00:14:44) - L&D: The Tutor, the Editor and the Admin(00:17:04) - The L&D paradigm shift(00:19:22) - How Skills are Being Rated in the Future(00:22:30) - L&D: The Future of Content Management(00:27:56) - Learning vs. Agents: Can Microsoft Win with Both?(00:30:46) - How to move legacy courses to Scrum(00:31:50) - A New Way to Start with Workday's AI in 2020

Is your brain cluttered with every new tool, platform, and software someone told you that you absolutely need? Same. This episode started as a simple refresh of our tech stack after a listener wrote in asking what we actually use to run our businesses. Spoiler: the list is still shockingly short. But somewhere between Google Sheets and listing descriptions, we took a turn into AI territory, and y'all, we are not turning back. We walk through our bare-bones tech stack (yes, we still use a spreadsheet), talk honestly about how we are each using AI in our real estate businesses right now, and share why keeping things simple is not laziness, it is a strategy. We also get into SEO vs. AEO vs. GEO (yes, GEO is a real thing and it matters), what AI actually pulled up when Alissa searched herself, and the big announcement: Katy is teaching a monthly AI class inside the Hustle Humbly Community starting now. If you have been quietly panicking every time someone mentions AI, or if you have been using it already and want to go deeper, this episode is for you. Here's what we cover in this episode: The listener email that prompted this episode and our full simple tech stack answer Why simpler systems get used more consistently (and cost less money) Google Sheets, Trello, Canva, email, Google Drive, MLS, and yes, a little AI Transaction management and e-sign tools required by our brokerages How to qualify your tech choices based on the type of business you want to run SEO vs. AEO vs. GEO: what each one means and which one actually matters for your real estate business What happened when Alissa's seller looked her up with AI (hint: reviews matter a lot) How Alissa used ChatGPT to analyze multiple offers and review pre-approval letters Using AI to virtually stage photos, repaint rooms, and show sellers the vision How Katy used Claude to turn listing appointment notes and photos into a beautiful PDF checklist for a seller The Plaud device that listens to your appointments and summarizes them Why shiny tools do not fix broken habits Claude vs. ChatGPT: what is different and why Katy made the switch Projects, skills, and co-work inside Claude explained simply The new monthly AI class inside the Hustle Humbly Community for $25/month Why your Google reviews are your most important AI visibility tool right now Key Quotes & Takeaways: "Shiny objects feel productive, but they can delay real progress." Alissa "New tools do not fix broken habits. If you have systems in place that you're not using, a new system is not going to help you." Alissa "As long as you're running your business like a business and getting reviews from people, the internet and the AI are going to pick up on that." Alissa "You can not ask for more business if you are not taking care of the business you already have." Alissa "Using AI well will probably cut your task in half." Katy Products, People & Previous Episodes Mentioned: Episode 8: Tech Tools for Real Estate (hustlehumblypodcast.com/8) Google Sheets (free) Trello (free) Canva (free and paid) Google Drive (free and paid) ChatGPT (chatgpt.com) paid plan ~$20/month for photo editing Claude / Claude.ai (claude.ai) paid plan ~$22/month MLS e-sign (included with board dues) Dotloop (e-sign & transaction management) SkySlope (transaction management) Hustle Humbly Community (hustlehumblypodcast.com/membership) Email Templates 101 (emailtemplates101.com) Want to toast someone on the show? Send us a voice or video message with your name, who you are toasting, and why! Email it to team@hustlehumblypodcast.com. Leave us a review at http://ratethispodcast.com/hustlehumbly Get your FREE Database Template: http://hustlehumblypodcast.com/starthere Email Templates 101: http://emailtemplates101.com All Resources: http://hustlehumblypodcast.com Submit your topic ideas and toasts to Team@HustleHumblyPodcast.com

In this episode of the HR Leaders Podcast, I had an inspiring conversation with Arun Serikar, VP, HR Technology, Digital Platforms & AI Innovation, Corp Functions at Schneider Electric, to unpack what it really takes to simplify HR technology, scale AI, and build a better employee experience across a global enterprise.Arun shares how Schneider Electric went from 545 HR applications to 303, reducing tech debt, breaking regional silos, and building stronger governance around the tools, data, and platforms used across the business. He explains why employees are not looking for the “best system”, they are looking for fewer systems that actually work together.Most importantly, Arun breaks down how Schneider Electric is using AI to move HR from a back-office function to an intelligence layer for the enterprise, from internal chatbots and ticket reduction, to performance review AI assistance, agentic workflows, and a future where employees can complete tasks without jumping between systems.

Your team is already using AI. The question is whether they know what they should and should not be putting into it. Most business owners hand their people a powerful tool with zero guardrails and wonder why things feel chaotic. No policy. No boundaries. No plan. Just fragmentation. In this episode, BOP Coaches Shawn "Dickie" Stinson and Brandon "Donny" Gray sit down with Matthew Lingafelt, BOP's fractional Tech Stack role, to break down what an AI policy actually looks like for a small business and why you need one before your next employee opens an AI tool without a second thought. This is not about fear. This is about being intentional with one of the most powerful tools your business will ever use. ✅ Why "information in is information stored" and what that means for your business risk ✅ The three buckets of information and how to decide what belongs in AI and what does not ✅ How to build an AI policy that is one page, functional, and actually gets followed ✅ Why using AI without a project structure is costing your team time and memory ✅ The difference between AI as a complement to your business versus a substitute for your people ✅ What "you should not sacrifice ethics on the altar of efficiency" means for how you lead You do not need a 10-page document. You need a clear framework your team can actually use. Is your business using AI intentionally, or just hoping nobody puts the wrong thing in the wrong place?

Artificial intelligence is reshaping banking infrastructure, from accelerating core migrations to enabling agentic experiences that can automate complex workflows. In this episode of Bloomberg Intelligence's Tech Disruptors podcast, Vishal Dalal, chief product officer of financial solutions at Fiserv, joins BI fintech and payments analyst Diksha Gera to discuss how banks are using AI to modernize legacy systems and improve data quality while managing security, compliance and governance risks. The conversation explores Fiserv's vision for AgentOS, an intelligence layer that sits on top of bank data and applications, enabling agents to interact dynamically across platforms.

#136Josh and Mike sit down with Ming-Tai Huh, restaurateur, MIT graduate, former Toast and Square executive, and co-founder of Cambridge Street Hospitality Group. Ming shares the unlikely path that took him from management consulting and technology into the restaurant industry, beginning with a spontaneous decision to open a restaurant after becoming deeply involved in his local Cambridge community. He reflects on his early days at Toast, helping to build foundational products such as online ordering, loyalty, APIs, and partnerships, and explains how his experience as both an operator and a technologist shaped the way he thinks about restaurant software.The conversation dives into the future of restaurant technology, AI, SaaS, restaurant operations, and why supply chain management remains one of the industry's biggest unsolved problems. Ming discusses the rise of AI agents, the growing gap between experienced operators and first-time restaurateurs, the realities behind scaling restaurant software, and why he believes marketing attribution and ROI measurement remain major opportunities for innovation. Along the way, he shares stories about getting married inside an unfinished restaurant, building Puritan & Company from scratch, and what operators can learn from both the restaurant and technology worlds.Links and resources

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. 

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

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/  

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.

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

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 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>>

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

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.

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