Podcasts about Coding

AI code is here to stay. This episode was produced by Ariana Aspuru, edited by Jenny Lawton, fact-checked by Andrea López-Cruzado, engineered by David Tatasciore, and hosted by Sean Rameswaram. Code generated by a prompt on Google AI studio. Photo by Sean Rameswaram. Listen to Today, Explained ad-free by becoming a Vox Member: vox.com/members. New Vox members get $20 off their membership right now. Transcript at ⁠vox.com/today-explained-podcast.⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Jaeden & Jamie discuss Cursor's new agentic coding tool, Cursor Automations, which allows developers to automate code maintenance and task initiation for AI agents. They explore how these automated features can streamline workflows for complex projects and how similar functionalities are being implemented across various AI-powered tools.Our Skool Community: https://www.skool.com/aihustleGet the top 70+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiWatch on YouTube: https://youtu.be/2xWao4gpaoEChapters00:00 Introduction to Cursor and AI Automation02:30 Cursor Automations Announcement and Industry Impact04:13 Developer Tools and No-Code Automation Trends05:28 Practical Use Cases for AI Automation in Business07:07 Challenges and Solutions in Automating Data Collection08:17 Future of Automated Tasks with ChatGPT and AI Agents10:14 Integrating Automation into Business Software

Jaeden & Conor discuss the rapid growth of AI coding applications like Lovable and Replit, highlighting their impressive revenue and valuation milestones. They also explore some personal experiences building functional apps and websites using these AI tools without prior coding experience.Our New AI in Faith podcast: https://podcasts.apple.com/us/podcast/ai-in-faith/id1807189802Get the top 70+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustleWatch on YouTube: https://youtu.be/CnU4L19gBlsChapters00:00 The Growth of AI-Powered Applications05:53 Personal Experiences with AI Tools09:01 Building Custom Solutions with AI11:39 Conclusion and Call to Action See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hanover Park's Chris Hladczuk talks with TITV Host Akash Pasricha about the end of B2B SaaS and how AI is modernizing venture capital operations. We also talk with The Information's Stephanie Palazzolo and Aaron Tilley about Apple's crackdown on vibe coding apps like Replit, and Gecko Robotics CEO Jake Loosararian about his company's $71 million deal with the US Navy. Lastly, we get into Coinbase's ambition to build the payment layer for AI agents with our crypto reporter Yueqi Yang.Articles discussed on this episode: https://www.theinformation.com/articles/coinbase-dives-ai-agent-paymentshttps://www.theinformation.com/articles/apple-cracks-vibe-coding-appsSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

In this episode, Stacie sits down with surface pattern designer, children's book illustrator, and educator Mel Armstrong. Mel shares how she transitioned from software engineering into surface pattern design, how a search for gender-neutral fabric while pregnant sparked an entirely new path, and why persistence mattered more than overnight success. The conversation also explores Mel's accidental entry into children's book illustration, the beauty of building a global online community for creatives, and the business lessons she learned the hard way. This episode is a refreshing reminder that creative careers are often built step by step with curiosity, humility, and a willingness to keep going. Today on Art + Audience: From Software Engineer to Surface Pattern Designer: Mel shares how a search for gender-neutral fabric during pregnancy led her to discover Spoonflower and ultimately transition into surface pattern design. Building a Creative Career Slowly: Mel discusses growing her creative work gradually while raising children and balancing client work before going all-in on illustration and licensing. Accidental Children's Book Illustrator: A publisher discovered one of Mel's fabric designs and invited her to illustrate a book. Launching a children's book career that now includes more than a dozen titles. Understanding Book Royalties: Mel explains how advances, royalties, and library lending programs contribute to income for children's book illustrators. Creating a Global Creative Community: Mel talks about how teaching on Skillshare unexpectedly grew into a thriving online community for surface pattern designers. Learning the Business Side the Hard Way: Mel reflects on one of her biggest early mistakes, mismanaging the business and tax side of her creative career, and why business knowledge is essential for artists.   Connect with Mel Armstrong: Website: melarmstrong.com YouTube: @melarmstrong   Connect with Stacie Bloomfield: Subscribe, Rate, and Review: Art + Audience Podcast Website: staciebloomfield.com | leverageyourart.com Instagram: @gingiber | @leverageyourart  Facebook: @LeverageYourArt Pinterest: pinterest.com/leverageyourart Got questions? Call the Art + Audience Podcast hotline: (479) 966-9561 Get Stacie's book: The Artist's Side Hustle  

What happens when an AI hater starts building with AI agents? In this episode, we talk with software engineer Steve Klabnik, known for his work on the Rust programming language, about his journey from criticizing AI to experimenting with it firsthand. We explore Steve's programming language Rue, largely built with the help of AI tools like Claude, and discuss what this means for software engineering and the future of coding in an AI-driven world.Featuring:Steve Klabnik – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:The Rust Programming LanguageRustRueDaniel's RSA Meeting link for March 23, 2026Daniel's RSA Meeting link for March 24-25, 2026Upcoming Events: Register for upcoming webinars here!

What happens when you hand a 13-year-old an AI coding tool and zero instructions? In this special episode, Paddy hosts his son Arjan for a hands-on look at vibe coding — the AI-powered approach to building software using nothing but natural language prompts.Together they walk through Dolphin Quest, the fully functioning 3D game Arjan built using Replit Agent in roughly a week — complete with combat mechanics, an in-game economy, AI-generated dolphin artwork, multiple worlds, achievements, and boss battles. No coding experience required.Whether you're a product manager, business analyst, developer, or just curious about AI, this episode shows what's possible when you combine human creativity with the latest AI tools.What vibe coding is and why it's gone mainstream in 2026Live demo of Dolphin Quest — a 3D game built entirely by a teenager using AIHow Replit Agent plans, builds, tests, and debugs its own codeThe prompting techniques that worked (and the mistakes to avoid)Why creativity and domain knowledge matter more than coding skillsPractical tips for anyone wanting to start vibe coding todayTimestamps00:00 Introducing Arjun and Vibe Coding02:35 What Makes a Great Game03:31 Early Creativity and Dolphin Obsession06:30 The Vibe Coding Experiment Setup08:53 Tool Choice and Prompting Tips14:35 Dolphin Quest Demo Begins16:21 Worlds, Chests, and AI Dolphins18:22 Submarine Speed and Cheats Testing21:18 Achievements and Boss Combat26:21 Build Time and No-Code Reality30:06 Refinements and Vibe Coding Advice31:47 Wrap-Up and Final Thoughts⚡️ In each episode, Paddy Dhanda deep dives into a new human Superpower to help you thrive in the age of AI.Host: Paddy DhandaPaddy works at the largest Tech training organisation in the UK and is passionate about helping tech professionals build human skills to thrive in the age of AI.Contact Paddy: paddy@superpowers.schoolSubscribe to my newsletter:

Scott and Wes break down the world of remote coding agents — what they are, why you'd want one, and all the different ways you can run them, from Cursor Cloud and Claude Code to an old laptop sitting on your floor. They cover real-world use cases, environment setup, API key management, and the wild variety of interfaces that let agents work while you sleep. Show Notes 00:00 Welcome to Syntax! 03:14 Introduction to Remote Coding Agents 05:32 Practical Examples of Remote Agents 05:34 Website data grunt work. 07:48 Research assistant 08:57 Travel agent… agent 09:57 Where and When Remote Agents Run 10:43 Brought to you by Sentry.io 13:31 Where Remote Agents Run 19:14 CLI and User Interfaces for Remote Agents 24:53 Remote Development Environments 31:21 DIY Agents and Custom Solutions 36:09 The environment 38:08 Managing API Keys and Access 41:02 Web search 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

AI is transforming software engineering—faster than many teams can adapt. In this episode, Andi talks with Wolfgang Heider and Benedict Evert about what it really means to build “AI‑native” software, where prototypes turn into production apps in minutes.We explore why good engineering fundamentals still matter, how multi‑agent workflows mirror traditional roles, and why testing, governance, and clarity of intent become more important—not less.We also discuss the future of junior engineers, the risk of everyone reinventing the same solution, and why value—not code generation—is becoming the real differentiator.Links we discussedhttps://www.linkedin.com/posts/wolfgangheider_productmanagement-softwareengineering-ai-activity-7425746505883607042-D1OZhttps://www.linkedin.com/pulse/machines-making-wolfgang-heider-5mvsfhttps://www.linkedin.com/pulse/i-built-app-between-final-stranger-things-episodes-wolfgang-heider-5penf/https://futurelab.studio/ora/ https://futurelab.studio/htmlctl/

Bu bölümde MacBook Neo, Mert'in Xcode Agentic Coding deneyimi, Coraline kitabı ve Marathon oyunu üzerine sohbet ettik. Bizi dinlemekten keyif alıyorsanız, kahve ısmarlayarak bizi destekleyebilir ve Telegram grubumuza katılabilirsiniz. :) Yorumlarınızı, sorularınızı ya da sponsorluk tekliflerinizi info@farklidusun.net e-posta adresine iletebilirsiniz. Zaman damgaları: 00:00 - Giriş 05:40 - MacBook Neo 45:10 - Xcode Agentic Coding 1:18:10 - Okuduklarımız, Persian Fire 1:55:30 - İzlediklerimiz 2:04:45 - Oynadıklarımız, Marathon 2:38:33 - Albüm tavsiyesi Bölüm linkleri: Monofor MacBook Neo iPhone 17e Studio Display XDR Apple Finally Made a Repairable MacBook Xcode 26.3 unlocks the power of agentic coding Kitap Kulübü Etkinliği Teknopoli Old Man and the Sea Coraline Small Fry Persian Fire: The First World Empire and the Battle for the West Pirate Enlightenment, or the Real Libertalia The Pitt The Bourne Identity Hijack Coraline Microsoft's next Xbox, Project Helix, won't reach alpha until 2027 Marathon Asia Minor - Between the Flesh and Divine

BONUS: Why the Human Architect Still Matters—AI-Assisted Coding for Production-Grade Software How do you build mission-critical software with AI without losing control of the architecture? In this episode, Ran Aroussi returns to share his hands-on approach to AI-assisted coding, revealing why he never lets the AI be the architect, how he uses a mental model file to preserve institutional knowledge across sessions, and why the IDE as we know it may be on its way out. Vibe Coding vs AI-Assisted Coding: The Difference Shows Up When Things Break "The main difference really shows up later in the life cycle of the software. If something breaks, the vibe coder usually won't know where the problem comes from. And the AI-assisted coder will."   Ran sees vibe coding as something primarily for people who aren't experienced programmers, going to a platform like Lovable and asking for a website without understanding the underlying components. AI-assisted coding, on the other hand, exists on a spectrum, but at every level, you understand what's going on in the code. You are the architect, you were there for the planning, you decided on the components and the data flow. The critical distinction isn't how the code gets written—it's whether you can diagnose and fix problems when they inevitably arise in production. The Human Must Own the Architecture "I'm heavily involved in the... not just involved, I'm the ultimate authority on everything regarding architecture and what I want the software to do. I spend a lot of time planning, breaking down into logical milestones."   Ran's workflow starts long before any code is written. He creates detailed PRDs (Product Requirements Documents) at multiple levels of granularity—first a high-level PRD to clarify his vision, then a more detailed version. From there, he breaks work into phases, ensuring building blocks are in place before expanding to features. Each phase gets its own smaller PRD and implementation plan, which the AI agent follows. For mission-critical code, Ran sits beside the AI and monitors it like a hawk. For lower-risk work like UI tweaks, he gives the agent more autonomy. The key insight: the human remains the lead architect and technical lead, with the AI acting as the implementer. The Alignment Check and Multi-Model Code Review "I'm asking it, what is the confidence level you have that we are 100% aligned with the goals and the implementation plan. Usually, it will respond with an apologetic, oh, we're only 58%."   Once the AI has followed the implementation plan, Ran uses a clever technique: he asks the model to self-assess its alignment with the original goals. When it inevitably reports less than 100%, he asks it to keep iterating until alignment is achieved. After that, he switches to a different model for a fresh code review. His preferred workflow uses Opus for iterative development—because it keeps you in the loop of what it's doing—and then switches to Codex for a scrutinous code review. The feedback from Codex gets fed back to Opus for corrections. Finally, there's a code optimization phase to minimize redundancy and resource usage. The Mental Model File: Preserving Knowledge Across Sessions "I'm asking the AI to keep a file that's literally called mentalmodel.md that has everything related to the software—why decisions were made, if there's a non-obvious solution, why this solution was chosen."   One of Ran's most practical innovations is the mentalmodel.md file. Instead of the AI blindly scanning the entire codebase when debugging or adding features, it can consult this file to understand the software's architecture, design decisions, and a knowledge graph of how components relate. The file is maintained automatically using hooks—every pre-commit, the agent updates the mental model with new learnings. This means the next AI session starts with institutional knowledge rather than from scratch. Ran also forces the use of inline comments and doc strings that reference the implementation plan, so both human reviewers and future AI agents can verify not just what the code does, but what it was supposed to do. Anti-Patterns: Less Is More with MCPs and Plan Mode "Context is the most precious resource that we have as AI users."   Ran takes a minimalist approach that might surprise many developers:   Only one MCP: He uses only Context7, instructing the AI to use CLI tools for everything else (Stripe, GitHub, etc.) to preserve context window space No plan mode: He finds built-in plan mode limiting, designed more for vibe coding. Instead, he starts conversations with "I want to discuss this idea—do not start coding until we have everything planned out" Never outsource architecture: For production-grade, mission-critical software, he maintains the full mental model himself, refusing to let the AI make architectural decisions The Death of the IDE and What Comes Next "I think that we're probably going to see the death of the IDE."   Ran predicts the traditional IDE is becoming obsolete. He still uses one, but purely as a file viewer—and for that, you don't need a full-fledged IDE. He points to tools like Conductor and Intent by Augment Code as examples of what the future looks like: chat panes, work trees, file viewers, terminals, and integrated browsers replacing the traditional code editor. He also highlights Factory's Droids as his favorite AI coding agent, noting its superior context management compared to other tools. Looking further ahead, Ran believes larger context windows (potentially 5 million tokens) will solve many current challenges, making much of the context management workaround unnecessary.   About Ran Aroussi Ran Aroussi is the founder of MUXI, an open framework for production-ready AI agents, co-creator of yfinance, and author of the book Production-Grade Agentic AI: From brittle workflows to deployable autonomous systems. Ran has lived at the intersection of open source, finance, and AI systems that actually have to work under pressure—not demos, not prototypes, but real production environments.   You can connect with Ran Aroussi on X/Twitter, and link with Ran Aroussi on LinkedIn.

Ben and Andrew begin with the MacBook Neo, including Ben's memory needs, Apple's clever move to repurpose old iPhone chips, and the market for a $599 laptop. From there: A question about VisionOS, Andrew's notes after six weeks of Vision Pro joy, and an extended discussion of Claude's differentiation, harnessing, Microsoft's AI strategy, and the future of integration and AI. At the end: A question on the end of coding language, what went wrong at the Washington Post, and being right points on AI group chats.

It's an AI-heavy episode with real stakes: Jessica digs into OpenAI's evolving approach to shopping and why “closing the loop” on commerce could be the proving ground for consumer monetization. The group sparrs over charts: OpenAI vs. Anthropic annualized revenue, what “slope” investors actually care about, and whether Anthropic's developer-first strategy (code, tokens, and high ARPU) is the smarter path than consumer mindshare.Sam argues that “intelligence” is heading toward a global, frictionless commodity market (bad for margins, great for usage) and introduces the idea of “dark pools” (proprietary access/data/relationships) as the only durable moat. Dave counters with the more optimistic take: AI is collapsing the line between “consumer” and “developer,” turning everyone into a builder, and launching a new creative medium (with examples spanning from software to film). Brit adds fuel with “nano-targeted” commerce and a tour through A16Z's Top 50 GenAI web products list, highlighting both mainstream shifts and the internet's… more ‘unexpected' categories.Finally: a truly out-of-left-field deal pitch from Jess: should someone buy the Tennis Channel for ~$1B? Plus a rapid-fire pop culture close (Kelce's return, Oscars bets, and what everyone's watching) before Sam heads back to the sauna.Chapters:0:00 — Intro & Sam's Sauna Hat1:33 — First-Ever MOL Podcast Ad3:54 — ChatGPT's Shopping Pivot7:19 — The Chart: OpenAI vs Anthropic Revenue11:52 — The Slope: Linear or Super Linear?16:10 — Commerce Is Bad. Attention Is Good.19:04 — AI Is Turning Everyone Into a Builder20:15 — "$1B Raised, $900M spent on Inference"23:17 — AI Is Worse Than the Cable Business35:58 — Dark Pools: Death of the Open Marketplace40:45 — The P50 Problem: What Happens to Average People?42:38 — "Software Is Totally Commoditized"45:43 — Brit's Bot Corner: Anime Husband Chatbots 50:44 — Should You Buy the Tennis Channel for $1B?54:22 — Pop Culture CornerWe're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessSpotify: https://podcasters.spotify.com/pod/show/moreorlesspodOn demand reactions powered by AI: https://molchat.ai/ Connect with us here:1) Sam Lessin: https://x.com/lessin2) Dave Morin: https://x.com/davemorin3) Jessica Lessin: https://x.com/Jessicalessin4) Brit Morin: https://x.com/brit

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The Information's Rocket Drew talks with TITV Host Akash Pasricha about the $109 billion legal threat facing OpenAI in its court battle with Elon Musk. We also talk with Theo Wayt about xAI's leadership turnover and new hires from Cursor, Ex-ChatGPT Product Head Peter Deng about the future of consumer AI and "taste" in product development, and Managing Editor Laura Mandaro about the startups inching toward IPOs in a volatile market. Lastly, we get into Meta's "Avocado" model delay and the prospect of licensing Google Gemini with our Co-Executive Editor Martin Peers.Articles discussed on this episode: https://www.theinformation.com/briefings/meta-said-push-back-launch-avocado-modelhttps://www.theinformation.com/articles/startups-inching-toward-ipo-volatile-markethttps://www.theinformation.com/articles/xai-hires-two-senior-leaders-cursor-catch-codinghttps://www.theinformation.com/articles/musk-openai-lawyers-face-109-billion-claimSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

Depuis la Suisse, Thierry Weber s'intéresse à une nouvelle tendance qui transforme la programmation : le « vibe coding », ou programmation intuitive. Grâce à l'intelligence artificielle, il devient possible de créer des applications ou d'automatiser des tâches simplement en décrivant ce que l'on veut en langage naturel, sans écrire de code. Mais Weber rappelle que les développeurs ne disparaissent pas pour autant. Leur rôle évolue vers celui d'architecte et de superviseur du code généré par l'IA, afin d'éviter les erreurs, les failles de sécurité ou les logiques bancales. Pour lui, la véritable révolution tient surtout à la chute de la barrière entre l'idée et sa réalisation.

Ever wonder why a complex gallbladder surgery only nets the surgeon about $350, while the hospital collects thousands? In this episode, Dr. Christopher Childers and Dr. Nina Clark pull back the curtain on how the money actually flows in medicine. From the birth of the RVU to the "Two Midnight Rule," we're breaking down the math behind your paycheck.Next Step: Ready to make sure you're actually getting credit for the work you do? Join us for Episode 3, where we dive into the "Black Box" of Coding and Billing. ***Fellowship Application Link: https://forms.gle/QSUrR2GWHDZ1MmWC6Sponsor Disclaimer: Visit goremedical.com/btkpod to learn more about GORE® SYNECOR Biomaterial, including supporting references and disclaimers for the presented content.  Refer to Instructions for Use at eifu.goremedical.com for a complete description of all applicable indications, warnings, precautions and contraindications for the markets where this product is available. Rx only Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.  If you liked this episode, check out our recent episodes here: https://behindtheknife.org/listenBehind the Knife Premium:General Surgery Oral Board Review Course: https://behindtheknife.org/premium/general-surgery-oral-board-reviewTrauma Surgery Video Atlas: https://behindtheknife.org/premium/trauma-surgery-video-atlasDominate Surgery: A High-Yield Guide to Your Surgery Clerkship: https://behindtheknife.org/premium/dominate-surgery-a-high-yield-guide-to-your-surgery-clerkshipDominate Surgery for APPs: A High-Yield Guide to Your Surgery Rotation: https://behindtheknife.org/premium/dominate-surgery-for-apps-a-high-yield-guide-to-your-surgery-rotationVascular Surgery Oral Board Review Course: https://behindtheknife.org/premium/vascular-surgery-oral-board-audio-reviewColorectal Surgery Oral Board Review Course: https://behindtheknife.org/premium/colorectal-surgery-oral-board-audio-reviewSurgical Oncology Oral Board Review Course: https://behindtheknife.org/premium/surgical-oncology-oral-board-audio-reviewCardiothoracic Oral Board Review Course: https://behindtheknife.org/premium/cardiothoracic-surgery-oral-board-audio-reviewDownload our App:Apple App Store: https://apps.apple.com/us/app/behind-the-knife/id1672420049Android/Google Play: https://play.google.com/store/apps/details?id=com.btk.app&hl=en_US

New products from Perplexity and Replit show vibe coding evolving beyond “AI helps you code” into systems that plan goals, spin up teams of agents, and execute entire workflows across apps and files. The emerging pattern combines persistent agents, collaborative canvases, and multi-agent orchestration—turning vibe coding into a broader interface for building and operating digital work. In the headlines: agents get credit cards, Anthropic surges in Ramp adoption data, OpenAI folds Sora into ChatGPT, Musk outlines an xAI–Tesla computer-use system, Netflix may buy Ben Affleck's AI startup, and Lovable adds $100M in ARR.Learn more about AGENT MADNESS: Our 64-Bracket tournament to find the coolest Agent of 2026 ⁠https://www.agentmadness.ai/⁠Brought to you by:KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG's new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/Navigate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mercury - Modern banking for business and now personal accounts. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://mercury.com/personal-banking⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AIUC-1 - Get your agents certified to communicate trust to enterprise buyers - ⁠⁠https://www.aiuc-1.com/⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Vibe Coding is about to change the world… and I recommend you be at the forefront of that!Try Replit for Free:  https://replit.com/refer/derekvidell-----Hosted by Derek VidellLearn How to Run Profitable Facebook Ads Yourself: socialbamboo.com/30 (free call) social bamboo.com/5roas (free course) socialbamboo.com/dwy (paid program) I have DWY and DFY Meta Ads services available. Book a free call to start. Build a Perfectly Trained AI Chatbot: https://pro-bots.ai/trial (free course + 14 day software trial)Instagram | YouTube | SocialBamboo.com

What if your computer didn't need a screen in front of you to get work done? That's the shift Ben Guo, co-founder of Zo, is building toward, and this conversation gets into the specifics of what that actually looks like day to day.In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Ben Guo to explore Zo: a personal cloud computer with built-in AI agents, file storage, scheduled tasks, and the ability to receive commands over text or email. Together, they unpack how Zo differs from the OpenClaw movement and why Ben thinks the personal cloud becomes a device category everyone eventually owns.The conversation goes deep on how the Zo team actually builds software: writing AI-generated markdown plans before touching any code, reviewing those plans as GitHub PRs, and largely abandoning the traditional to-do backlog in favor of just prompting something and letting it run. They also get into the real overhead that comes with this new way of working, including context management, delegation judgment, and figuring out what belongs where.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

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#341: Nobody's arguing about whether you need feature flags in 2026. That debate ended years ago. But the code flowing through those flags? That's a different story. AI is writing more of it than ever, review times are climbing, and delivery throughput has actually declined. Trevor Stuart, co-founder of Split.io and now running Feature Management & Experimentation at Harness, calls it the six-lane highway ending in a two-lane bridge. The bottleneck didn't disappear. It moved. Coding got faster, but everything downstream -- reviews, security scans, delivery pipelines -- stayed the same width. Viktor points out this is the exact same pattern from the early agile days: his team shipped every two weeks, but testing still took six months. Different era, same structural problem. Feature flags are part of the fix, but not the way most people use them. Teams are now stuffing prompts, token limits, and temperature settings inside feature flag configurations and running A/B tests on AI agents in production. That's a long way from changing button colors on a marketing page, which is where experimentation started 15 years ago. The culture problem is harder than the tooling problem. Trevor has watched teams run one experiment, see it fail, and quit experimenting entirely. The fear of admitting failure kills more experimentation programs than bad data ever will. Meanwhile, the companies getting real results -- a fast food chain generating millions from kiosk experiments, a global bank driving hundreds of millions in customer acquisition -- are the ones treating experimentation as a permanent operating model, not a one-off project. The conversation also covers Trevor's path from co-founding Split to running it inside Harness post-acquisition. He stayed -- which doesn't happen as often as you'd think. Harness runs what he calls a 'startup within a startup' model, and he breaks down what that actually looks like from the inside, what was hardest to let go of, and why finding your 'why' matters more than any exit.   Trevor's contact information: LinkedIn: https://www.linkedin.com/in/trevorbstuart/   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

American universities stopped optimizing for students a long time ago. The University of Austin was built as a direct counter to that failure. Carlos Carvalho, its president, brings a statistician's precision to the diagnosis, tracing the causal chain from dropped standards to credential collapse while building an institution with no tuition and no government money, staking its survival entirely on student outcomes 20 years out. The conversation moves from the financial architecture of a university, through a curriculum that starts with Plato before it touches Python, to the deeper question of what a university owes a civilization in the age of AI and whether Austin is the right place to answer it.Agenda0:00 Intro + Three Years In 9:42 The $300M Bet 15:42 The Conglomerate Problem 21:42 Western Canon First 28:42 What AI Changes About Teaching 34:42 The Bastrop Lab 41:42 UATX in the Austin Ecosystem 48:42 Atoms vs Bits in Texas 53:42 American Exceptionalism as Mission 59:42 The Hit Pieces 1:06:42 The UCSD Math Collapse 1:11:42 Grade Inflation as Decay 1:14:42 AI and the Soul ProblemGuest BioCarlos Carvalho is the President of the University of Austin. Prior to taking on this role, he spent 15 years as a professor at the University of Texas at Austin's McCombs School of Business, where he held the La Quinta Centennial Professorship and founded the Salem Center for Policy. A native of Brazil, Dr. Carvalho earned his doctorate in statistics from Duke University and has also taught at the University of Chicago Booth School of Business. His research focuses on Bayesian statistics in complex, high-dimensional problems with applications ranging from economics to genetics to public policy. At UATX, he is leading a bold effort to build a new university that stands for American principles and academic excellence.Guest LinksUniversity of Austin: Website, Substack, Instagram, X, LinkedIn -------------------Austin Next Links: Website, X/Twitter, YouTube, LinkedInEcosystem Metacognition Substack

Get my 20+ NotebookLM tricks: https://clickhubspot.com/ocmf Episode 100: Is Google's NotebookLM about to replace After Effects, and what's really happening in the battle between ChatGPT and Anthropic's Claude? Matt Wolfe (https://x.com/mreflow) and Joe Fier (https://www.youtube.com/@joefier) break it all down in this packed episode, exploring the latest in generative AI video, the war between LLMs, and why Hollywood legends like Ben Affleck are bringing AI into filmmaking. This episode dives into the tsunami of new model releases from OpenAI, Google, and Anthropic—what's new, what's hype, and what it means for everyday creators and businesses. The hosts break down the surprising rise of Claude after a headline-making military contract dispute, explain how Claude made it ridiculously easy to jump ship from ChatGPT, and share behind-the-scenes looks at Google's Ultra plan, the cinematic power of NotebookLM, and its impact on traditional After Effects work. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) NotebookLM AI Tool Insights (06:57) Training AI: Steps Explained (13:56) Distilled Models for Efficiency (18:02) Million-Token Context for Coding (22:51) Efficient Tool Search System (28:31 Gemini 3.1 Flashlight Overview (33:16) Thumbnail Analysis and Optimization (41:37) Animating Videos with NotebookLM (43:21) AI Video Generation Progress (50:55) OpenAI's Pentagon Deal Controversy (56:13) Supply Chain Risks and War Talks (01:02:11) Hollywood's Tech Shift: Mixed Feelings (01:05:28) Streaming's Impact on Production Speed (01:10:01) Meta Glasses Privacy Controversy (01:13:40) Meta Sued Over Privacy Violations — Mentions: Joe Fier: https://www.youtube.com/@joefier NotebookLM: https://notebooklm.google/ After Effects: https://www.adobe.com/products/aftereffects.html Veo 3.1 https://gemini.google/overview/video-generation/ OpenClaw: https://openclaw.ai/ Manus: https://manus.im/ Nano Banana 2: https://blog.google/innovation-and-ai/technology/ai/nano-banana-2/ Claude: https://claude.ai/ Gemini: https://gemini.google.com/app Cursor: https://cursor.com/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Building forward momentum isn't about moving fast. Rather, it's about moving intentionally — especially when transitioning from developer to entrepreneur. In Season 27 of the Building Better Developers podcast, we explore what it truly means to keep progressing when challenges, distractions, and new responsibilities threaten to slow you down. In this episode, Andrew Stevens — software engineer, multi-time founder, CTO, and board member — shares how building forward momentum has shaped his multi-decade journey through technology and startups. Instead of focusing on overnight success, his story emphasizes sustained curiosity, disciplined execution, and constant recalibration. Over time, momentum is built layer by layer, not in dramatic bursts. Building Forward Momentum Through Collaboration At first, Andrew's entrepreneurial journey didn't begin alone. It started with collaboration. During the early dial-up internet era, local ISPs were emerging everywhere. At that point, Andrew joined forces with two complementary partners. While he focused on writing software, one partner handled infrastructure, and another concentrated on sales and commercialization. Because each person owned a specific strength, the venture gained traction quickly. This alignment created confidence. No single individual carried the entire burden, which reduced risk and accelerated learning. Building forward momentum often begins with the right partnerships, not total independence. In other words, developers don't need to master every business function before launching something new. Clarity about strengths — and awareness of gaps — is far more powerful. Building Forward Momentum During the Engineer-to-Founder Shift Eventually, Andrew transitioned into more solo ventures. At that stage, the dynamic shifted dramatically. Coding was no longer the only priority. Sales conversations, tax planning, customer communication, and financial oversight became daily responsibilities. As complexity increased, the temptation to retreat into technical work grew stronger. Many developers stall at this point. Technical tasks feel comfortable, whereas business responsibilities feel ambiguous. Meanwhile, operational issues quietly accumulate. Andrew openly discusses early financial mistakes and process failures. Nevertheless, those moments didn't stop progress. Instead, they forced adjustments that strengthened the foundation. Building forward momentum requires correction, not perfection. Entrepreneurship rarely follows a straight line. Each misstep generates feedback, and each adjustment reinforces resilience. Building Forward Momentum with AI as Leverage Alongside structured execution, Andrew emphasizes the strategic use of AI. One approach treats AI as a tool. He leverages it for rapid prototyping, static analysis, architecture critiques, and test case generation. In addition, AI significantly shortens debugging cycles, particularly when configuration issues arise. That said, production code still demands human judgment. AI accelerates iteration, but discernment remains essential. A second perspective positions AI as a channel. Increasingly, users ask AI systems for recommendations before making purchasing decisions. Consequently, products must be structured for discoverability within AI-driven ecosystems. Unlike traditional SEO, this requires thinking about how AI systems reference and surface information. AI doesn't replace disciplined builders — it amplifies their capacity. By reducing research time and accelerating experimentation, AI expands a founder's ability to test ideas. More testing leads to stronger building forward momentum. Building Forward Momentum Through Structured Execution Rather than relying on vague annual goals, Andrew breaks execution into focused horizons: Today This week This month This framework creates clarity without overwhelm. At the same time, he rejects the illusion of 100% productivity. Just as engineering teams cannot operate at full capacity indefinitely, founders cannot either. Space must be preserved for: Personal development Industry research Technical skill refinement Creative exploration Even while serving in executive roles, Andrew continues writing code. Staying close to the craft keeps strategic decisions grounded in technical reality. When skill development stops, momentum quietly declines. Protecting growth time is just as important as meeting deadlines. Building Forward Momentum Sustainably Entrepreneurship can feel isolating. Responsibility compounds, and decisions stack up quickly. For that reason, Andrew values trusted collaboration — including working alongside his spouse for nearly two decades. A reliable sounding board provides both stability and accountability. Unfinished edits will always exist. Features will occasionally slip. Competing ideas will demand attention. However, building forward momentum is not about tackling everything at once. Progress comes from choosing the next meaningful step and executing it consistently. The Real Lesson Ultimately, building forward momentum isn't defined by dramatic breakthroughs. It grows from sustained curiosity, strategic collaboration, structured execution, intelligent leverage of tools, and continuous personal development. Developers stepping into entrepreneurship often expect transformation to feel explosive. In reality, momentum compounds through disciplined repetition. Keep building. Keep learning. Keep adjusting. Over time, consistent forward motion turns into lasting impact. Stay Connected: Join the Developreneur Community

The rise of third-party payer audits is no secret to healthcare professionals and facilities, but one type of audit has gained particular attention in recent years: the clinical validation audit. Clinical validation audits ultimately lead to a downgrade of a hospital's diagnostic-related group (DRG) payment, but the process by which they reach that result makes them particularly curious. During utilization review, health plans make decisions about the patient's care and, in the case of clinical validation audits, actually make determinations about whether documented medical diagnoses are “clinically valid”. Join us to hear how clinical validation audits work and the rise in provider disputes involving clinical validation audits.Broadcast segments will also include these instantly recognizable panelists, who will report more news during their segments:·      POV: Penny Jefferson, Director of Coding & Clinical Documentation Integrity Services for the University of Davis Medical Center, will share her point of view during the broadcast.·      CDI Report: Cheryl Ericson will provide an update on clinical documentation integrity (CDI).·      SDoH Report: Tiffany Ferguson, CEO for Phoenix Medical Management, reports on the news that's occurring at the intersection of medical records and federal regulations.·      The Coding Report: Christine Geiger will report on the latest coding news.

E&M coding performance rises or falls on ten predictable breakpoints that drive payment, denials, rework, audits, and compliance risk. Join our panel for a practical discussion on what fixes those breakdowns and how AI supports scalable oversight through pattern detection, documentation review, exception based workflows, and autonomous E&M coding with human specialist exception handling.Brought to you by www.infinx.com

Ian and Aaron discuss their trip to Laracon EU, the all-new Solo, using the AI SDK for Outro, "poker propaganda", Gen-Z Abby's 2004 camera, and so much more.Sponsored by SavvyCal Appointments, Bento, Laravel Private Cloud, IttyBit, and Ray by Spatie.Interested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - Europe Can't Contain Us (07:04) - Poker Propaganda (12:34) - Laracon EU Recap (17:42) - Good Feedback (23:07) - Big Solo Update (42:03) - What's Next for Solo (01:01:20) - The Worktrees Question (01:10:57) - The Finalized Skill (01:17:28) - Outro & Gopher (01:26:43) - New Deadlines Are Coming (01:31:25) - 2004 Camera Links:SinnersJetBlue MintEncore Boston HarborDaniel CoulbournePete HeslopSoloXtermTyporaFasterOutro

Menlo Ventures' Venky Ganesan talks with TITV Host Akash Pasricha about Nvidia's Vera Rubin chip deal and investment into Thinking Machines Lab. We also talk with The Information's Aaron Holmes about Microsoft's new Office + Copilot bundle and its antitrust risks and Finance Editor Ken Brown about Amazon's $42 billion bond sale to fund AI infrastructure. Then we get into Tencent's WeChat AI agents with Juro Osawa and Jing Yang, and the vibe coding paradigm shift with South Park Commons GP Aditya Agarwal.Articles discussed on this episode: https://www.theinformation.com/articles/tencent-joins-chinas-ai-agent-race-top-secret-wechat-projecthttps://www.theinformation.com/articles/org-chart-microsoft-legal-staff-girding-cloud-bundling-suitshttps://www.theinformation.com/newsletters/applied-ai/microsoft-doubles-seat-based-pricing-aihttps://www.theinformation.com/briefings/amazon-raising-42-billion-bondsSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

https://www.medscape.com/viewarticle/docs-land-nearly-400-million-first-year-controversial-2026a10006e8 https://www.eyecodeeducation.com/courses/appropriate-use-of-g2211-in-optometry ---------------------- For our listeners, use the code 'EYECODEMEDIA22' for 10% off at check out for our Premiere Billing & Coding bundle or our EyeCode Billing & Coding course. Sharpen your billing and coding skills today and leave no money on the table! questions@eyecode-education.com https://coopervision.com/our-company/news-center/press-release/coopervision-and-aoa-join-forces-launch-myopia-collective Go to MacuHealth.com and use the coupon code PODCAST2024 at checkout for special discounts  Show Sponsors: CooperVision MacuHealth

Healthcare documentation is no longer written for a single audience. Today, the medical record must simultaneously meet federal regulatory requirements and the coverage expectations of individual payers.While these systems often overlap, they originate from different authorities and serve different purposes. One governs compliance and program integrity; the other determines whether services are approved and reimbursed.As prior authorization expands and audit scrutiny intensifies, hospitals are increasingly navigating both systems at once. Understanding the distinction between regulatory documentation standards and payer-driven requirements is becoming essential for aligning clinical workflows, documentation practices, and operational strategy in today's healthcare environment.During the next live edition of the venerable Monitor Monday, the  live Internet broadcast, senior healthcare consultant Penny Jefferson returns to the broadcast to explain what many today are calling the new face of healthcare.Broadcast segments will also include these instantly recognizable features:Monday Rounds: Ronald Hirsch, MD, vice president of R1 RCM, will be making his Monday Rounds.The RAC Report: Healthcare attorney Knicole Emanuel, partner at the law firm of Nelson Mullins, will report the latest news about auditors.Risky Business: Healthcare attorney David Glaser, shareholder in the law offices of Fredrikson & Byron, will join the broadcast with his trademark segment.Legislative Update: Adam Brenman, senior legislative affairs liaison for Zelis, will report on current healthcare legislation.

AI development is getting easier, but building production-ready systems remains a challenge. From vibe coding experiments at Mobile World Congress to shifts in AI silicon, networking infrastructure, and the evolving app economy, Patrick Moorhead & Daniel Newman explore what's actually changing inside enterprise technology on this episode of The Six Five Pod. The handpicked topics for this week are: MWC Recap and the Rise of "Vibe Coding": Experiments at Mobile World Congress highlighted how AI interfaces are lowering the barrier to building applications. Tools like Perplexity Computer enabled rapid prototyping of workforce tools, content systems, and market-modeling apps. While experimentation is easier than ever, production-grade systems still require security, accuracy, and operational discipline. The Collapse of Traditional Development Gatekeeping: AI-driven interfaces are reshaping who can build software. Users without deep engineering backgrounds can now quickly generate functional applications. Pat & Dan explore how this shift could dramatically increase the volume of software development while changing the role of traditional developers. AI Infrastructure and the Silicon Arms Race: AI infrastructure continues to evolve as companies compete to deliver efficient compute and networking at scale. Qualcomm is entering rack-scale inference with LPDDR-based architectures designed for efficiency, while Nvidia is investing heavily in optical networking through companies like Lumentum and Coherent to address power and scaling constraints. Intel's Push to Stay Competitive in Enterprise AI: Intel continues advancing its enterprise and carrier roadmap with technologies like Xeon 6 and the 18A process. While the company faces pressure in hyperscaler markets, it remains focused on maintaining relevance in enterprise and telecom infrastructure deployments. Apple's AI Infrastructure Challenge: Reports suggest Apple is evaluating Google Cloud to support infrastructure for future Siri capabilities. The hosts highlight the company's ongoing challenges with internal AI infrastructure development and the broader competition for AI talent. The Flip: Is AI Ending the App Economy? The weekly Flip debate takes on vibe coding. Will AI-driven development lead to an explosion of applications that disrupts traditional SaaS monetization models? Or will this shift simply upgrade the app economy with simple tools, while durable SaaS businesses focus on unique data, strong governance, and trusted platforms. AI Capex Continues to Drive Semiconductor Growth: Broadcom and Marvell continue benefiting from the rapid expansion of AI infrastructure. Demand for networking, connectivity, and high-performance silicon reflects the ongoing global buildout of AI compute capacity. Cybersecurity and AI Disruption Questions: CrowdStrike delivered strong financial results but faced investor questions about how AI could reshape the cybersecurity landscape. The discussion highlights how AI will both disrupt and reinforce security platforms. Capex Pressure and AI Investment Cycles: Amazon faced stock pressure related to the scale of its infrastructure investment, yet its Trainium chip strategy and expanding partnerships, including work with OpenAI, reinforce its long-term AI ambitions. For a deeper dive into each topic, please click on the links below. Subscribe to our channel so you never miss an episode. The Decode NVIDIA moves aggressively into optical networking supply chain https://www.cnbc.com/2026/03/02/nvidia-investment-coherent-lumentum.html Qualcomm enters rack-scale AI inference race https://www.qualcomm.com/news/onq/2026/03/ai-inference-that-scales-qualcomm-ai200-infrastructure-management-suite Intel's Xeon 6+ "Clearwater Forest" signals 18A moment https://x.com/PatrickMoorhead/status/2028751486587486675?s=20 Apple reportedly evaluating Google Cloud for next-gen Siri https://www.nasdaq.com/articles/apple-explores-deepening-google-partnership-next-gen-siri Perplexity Computer sparks new "AI operating system" narrative https://www.perplexity.ai/hub/blog/introducing-perplexity-computer https://x.com/PatrickMoorhead/status/2028089608559378846?s=20 Stripe's Billing for AI Startups https://techcrunch.com/2026/03/02/stripe-wants-to-turn-your-ai-costs-into-a-profit-center/ Bulls & Bears Broadcom earnings watch — custom AI silicon boom https://www.cnbc.com/2026/03/04/broadcom-avgo-q1-earnings-report-2026.html CrowdStrike Q4 earnings https://ts2.tech/en/crowdstrike-stock-holds-steady-after-upbeat-2027-forecast-as-wall-street-sizes-up-arr/ ServiceNow CEO buys $3M of stock https://www.barrons.com/articles/servicenow-ceo-buy-stock-execs-cancel-sales-be8c597f?gaa Amazon's Extreme AI Spending Sends Stock to Worst Month in Years https://finance.yahoo.com/news/amazon-extreme-ai-spending-sends-123002260.html  

With AI generating code faster than ever, coding alone is no longer enough. The engineers who will stand out aren't the ones who write the most code, but the ones who know what to build and why.In this episode, Drew Hoskins, author of “The Product-Minded Engineer”, shares how engineers can develop the product thinking skills that will define their careers in the AI era. Drew draws on his experience as a senior staff engineer at Microsoft, Meta, and Stripe to explain why the best engineers care as much about the what and why as the how. He introduces the Double Diamond Framework (Discover, Define, Develop, Deliver) and calls out why most engineers make the mistake of jumping straight to the Develop phase. He also explains the concept of the “great re-indexing”: the mental shift required to switch between thinking like an engineer and thinking like a user. As AI takes over more of the routine coding work, Drew argues that product skills, people skills, and ownership skills are what will separate good engineers from truly impactful ones.Key topics discussed:What makes an engineer “product-minded”Why engineers skip Discovery and what it costs themThe Double Diamond: a framework for building the right thingHow to think in user scenarios, not just system diagramsThe “great re-indexing” between engineer and user thinkingWhy discoverability can 10x your feature's impact for little costHow AI is making product skills more valuable, not lessWhat junior engineers should focus on to stay relevantTimestamps:(00:00) Trailer & Intro(02:35) What Is a Product-Minded Engineer?(05:37) What Did Drew Learn Working at Microsoft, Meta, and Stripe?(14:13) What Are the Biggest Challenges When Switching from Engineering to Product Management?(16:33) What Skill Gaps Hold Engineers Back from Product Thinking?(20:56) How Do You Bridge the Communication Gap Between Engineers and PMs?(26:07) What Are The Four Pillars (Double Diamond Framework)?(29:43) Why Should Engineers Care About the Deliver Phase?(32:40) How Should Engineers Apply the Double Diamond Framework Day-to-Day?(36:15) How Is AI Reshaping the Role of Product Engineers?(40:06) Should Product Managers Learn to Code in the AI Era?(43:56) What Is the Right PM-to-Engineer Ratio in the AI Era?(45:48) How Should Engineering Leaders Respond to AI Productivity Pressure?(51:04) What Advice Would You Give Junior Engineers Entering the Industry Today?(55:17) What Other Topics Does the Product-Minded Engineer Book Cover?(57:03) 3 Tech Lead Wisdom_____Drew Hoskins's BioDrew Hoskins blends product, engineering, and storytelling in his work and writing. He is the author of The Product-Minded Engineer. As an engineer, Drew has helped design and build a wide range of innovative products and platforms for Microsoft, Meta, and Stripe.Throughout his career, he has carried a passion for empowering developers. He's founded and led several teams to major successes with developer platforms that have withstood the test of time. He's currently a Staff Product Manager at Temporal Technologies, bringing durable execution to the masses.He is an expert bridge player, having won a North American Championship in 2025, and lives in the beautiful and nerdy San Francisco Bay Area.Follow Drew:LinkedIn – linkedin.com/in/drewhoskins2Newsletter – drewhoskins.substack.com Product-Minded Engineer - https://www.oreilly.com/library/view/the-product-minded-engineer/9781098173722/One-Page Bio – drewhoskins.carrd.coLike this episode?Show notes & transcript: techleadjournal.dev/episodes/250.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

In this episode, John and Dave cover a mix of retro gaming hardware, emulation history, and hands-on tinkering with old and new tech. They start by discussing Nintendo's new Virtual Boy accessory for the Nintendo Switch, reflecting on the strange legacy of the original system and what it's like to experience those games today. The conversation then dives into the fascinating story behind the Nintendo/Sega/Namco Triforce arcade platform and the effort to preserve and emulate these unique arcade systems. Dave also shares a retro-computing adventure recovering files from 1990-era floppy disks by rebuilding a DOS environment and reinstalling Microsoft Works on modern hardware. Finally, they wrap up with an update on Dave's long-running Commodore 64 project recreating the classic Mattel handheld football game, and how modern AI coding tools are now helping move the project forward.Topics discussed in this episodeNintendo's new Virtual Boy accessory for Nintendo Switch and Switch 2https://www.nintendo.com/en-ca/store/products/virtual-boy-for-nintendo-switch-2-120829/Nintendo announcement and details about the Virtual Boy accessory rollouthttps://www.nintendo.com/en-ca/whatsnew/virtual-boy-accessories-for-nintendo-switch-2-and-nintendo-switch-now-available-for-pre-purchase/Dolphin Emulator blog post: “Rise of the Triforce” — the history and emulation of Nintendo/Sega/Namco's arcade platformhttps://dolphin-emu.org/blog/2026/02/16/rise-of-the-triforce/Dolphin Emulator project websitehttps://dolphin-emu.org/MiSTer FPGA project (used for recreating vintage computer environments)https://mister-devel.github.io/MkDocs_MiSTer/MiSTer ao486 core for running DOS-era PCshttps://github.com/MiSTer-devel/ao486_MiSTerMicrosoft Works archive and documentation (classic DOS productivity suite mentioned in the episode)https://archive.org/details/microsoft-works-1.0-1.05-1988-05-english-5.25-360-kb-packard-bell-oemAtariAge forums discussion of the classic Mattel handheld football gamehttps://forums.atariage.com/topic/90135-1970s-mattel-classic-football-led-handheld-game/

In this episode, Sloan Dean returns to the show after completing MIT's AI Strategy and Leadership program to share how he's applying AI in his work daily. The conversation covers two practical use cases for hotel GMs: using Claude as an executive assistant for email and communication, and as a financial analyst for P&L benchmarking and cost analysis. Sloan also walks through the power and limitations of "vibe coding" and why the hotel leaders who lean into AI now will be the ones leading in the future. If you want to know where AI delivers real value today and where it still falls short, this is one you won't want to miss.Resources:Watch this conversation (and bonus content) on YouTubeNot Done podcastClaude CodeManus AIGamma A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

Try VibeCode here: https://www.vibecodeapp.com/sign-up?code=ref-38wevq7q7tlwMost entrepreneurs and no-code builders are missing a seismic shift happening right now — one that's transforming how startup ideas go from concept to product in weeks, not months. In this episode, Dan Hafner dives into his recent obsession with Claude Code and how it's revolutionizing his approach to product development through tools like VibeCode, revealing how he built real apps in just a month, from internal management systems to complete business operating platforms, all without writing a single line of code. You'll discover the core capabilities of Claude Code, practical workflows combining it with VS Code and GitHub, the most cost-effective ways to leverage models like Opus and Sonnet without burning through credits, and how to build responsive web and native iOS apps today — potentially without any developer resources. This episode is a clear call to action for founders, entrepreneurs, and no-code enthusiasts ready to rethink what's possible: those who master these tools now will launch faster, iterate quicker, and stay ahead in a world where your next big idea could be just a prompt away.Contact Dan: dan@dappernocode.com

Woodson Martin, CEO ofOutSystems, argues that successful enterprise AI deployments rarely rely on standalone agents. Instead, production systems combine AI agents with data, workflows, APIs, applications, and human oversight. While claims that “95% of agent pilots fail” are common, Martin suggests many of those pilots were simply low-commitment experiments made possible by the low cost of testing AI. Enterprises that succeed typically keep humans in the loop, at least initially, to review recommendations and maintain control over decisions. Current enterprise use cases for agents include document processing, decision support, and personalized outputs. When integrated into broader systems, these applications can deliver measurable productivity gains. For example,Travel Essencebuilt an agentic system that reduced a two-hour customer planning process to three minutes, allowing staff to focus more on sales and helping drive 20% top-line growth. Martin also believes AI will pressure traditional SaaS seat-based pricing and accelerate custom software development. In this environment, governed platforms like OutSystems can help enterprises adopt “vibe coding” while maintaining compliance, security, and lifecycle management. Learn more from The New Stack about the latest developments around enterprise adoption of vibe coding: How To Use Vibe Coding Safely in the Enterprise 5 Challenges With Vibe Coding for Enterprises  Vibe Coding: The Shadow IT Problem No One Saw Coming Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

AI agents have taken on a growing share of software development work, so much so that the hardest problems are shifting away from code generation towards something new, context. The challenge is now contextualizing why systems work the way they do, how architectural decisions were made, and the sources of truth that exist outside of The post Organizational Context for AI Coding Agents with Dennis Pilarinos appeared first on Software Engineering Daily.

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Who dares to make predictions in the current landscape? We do!  Our Predictions are back. Will our track-record continue on a high or will we be fundamentally wrong? Listen in to our Predictions for 2026 Navigation: Intro What will 2026 be all about? AI, AI and … more AI The big Hardware movements Of Start-ups and VCs Regulatory & Geopolitical Headwinds… and the Wars Fintech, Crypto and Frontier Tech Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show:   Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Bertrand Schmitt Introduction Welcome to Tech Deciphered Episode 74. That would be an episode about some predictions about 2026. What will be 2026 all about? I guess this year is probably starting with a bang. We saw the acquisition of xAI by SpaceX. We saw an acquisition from Grok by NVIDIA. What’s your take about what would be the big themes in 2026? I guess it would be for sure about AI and space. Nuno Goncalves Pedro What will 2026 be all about? Yeah. I predict a year that will be a little bit more of a year of reckoning in some way. There will be a lot of things that I think we’ll start seeing through. The fact that we are in the midst of an amazing transformational era for technology, the use of AI, but at the same time, obviously, a ridiculous bubble that is going alongside it as we’ve discussed in previous episodes. I think that we’ll start seeing some early reckonings of that, companies that might start failing, floundering, maybe a couple of frauds along the way, etc. I’ll tell you what I will not make many predictions about today, which is geopolitics. Geopolitics, I will not make predictions at all. Who the hell knows what’s going to happen to the world this year in 2026? I don’t dare making any predictions on that. Back to things where I would make predictions. I think on AI, we’ll have a little bit of reckoning. We’ll talk about it a little bit more in detail during this episode. Interesting elements around the hardware and physical space. Physical space, we just dedicated a full episode to it. We won’t go into a lot of details on that, but definitely on the hardware side, we’ll talk a little bit more about it. The VC landscape is going through an incredible transformation. We’ll talk about it today as well and some of our predictions for this year. What will happen to the asset class? It seems to be transforming itself dramatically. Obviously, that has a very direct impact on startups, so we’ll talk about that as well. And then to close a little bit the chapter on this, we will address some regulatory and geopolitical, let’s call it, headwinds without making maybe too many complex predictions. We shall see. Maybe by that time of the episode, we will be making some predictions. You guys should stay and listen to us, and maybe we will actually make some predictions about the geopolitical transformations that we will see this year in the world. Then last but not the least, we’ll talk about fintech, crypto, frontier tech, and a couple of other areas before concluding the episode. A classic predictions’ episode. We normally have a pretty good track record on some of these, but right now, the world is going a bit interesting, not to say insane. Bertrand Schmitt Yes, and going back to some news, Groq technically was not acquired, but, practically, it’s as if it got acquired. I’m talking about Groq, G-R-O-Q. The AI semiconductor company focused on inference AI, and it was late December. It was a way to end the year. This year, we started again with an acquisition of xAI by its sister company, SpaceX. I guess that’s where we are starting. AI, AI and … more AI We are going to start on AI. That’s definitely the big stuff. Everything these days, I guess, is about AI or has to have some connection with AI, or it doesn’t matter. I think every company in the world has seen that. You have to have the absolute minimum on AI strategy. You better execute on this strategy and show results, I would say. For the companies that were not AI native, you truly have to have a way to transform yourself. I guess at some point, the stretch might be too much, and it’s not really reasonable. Then you maybe better stay on what you are doing, especially if you’re in tech, you better be moving faster to AI. Nuno Goncalves Pedro Just to highlight, and I think throughout the episode, you’ll see that there’re obviously a lot of implications that would manifest themselves into capital markets. I mean, we’ll specifically talk about VCs and startups later on. But the fact that everything needs to be AI, the fact that there’s so much innovation happening right now, in my opinion, and this is maybe the first pre-topic to AI, is we’ll see a tremendous increase in M&A activity this year across the board. I mean, we’ve seen already some big acquihires we mentioned in some of our previous episodes, but we’ll see a lot more activity on M&A this year. Normally, that’s a precursor to the opening of capital markets. I predict also that there will be a reopening of the IPO market that never really reopened last year, to be honest. M&A, a lot more, reopening of the IPO market. Normally, it happens in the second or third quarter of the year. That’s what my M&A friends tell me. First quarter of year, everyone’s figuring out stuff. Then last quarter of the year, things should be more or less closed. Maybe the third quarter is the big quarter. We shall see. But definitely, as a precursor to our conversation today, I think we’ll see a lot of M&A, and we’ll see reopening of the IPO mark. Bertrand Schmitt I guess last year was not as big as you could expect on M&A given the tariff situation announced in April and May. I mean, it became quite tough to do IPO in such market conditions. Definitely, we can hope for something dramatically different in 2026. I guess talking about public markets and IPO, I guess the big one everyone is waiting for is SpaceX. SpaceX getting even more interesting with its xAI acquisition. Nuno Goncalves Pedro Do you think that because of the acquisition, it’s more likely that it will happen this year, or because of the acquisition, it’s less likely that it will happen this year? Bertrand Schmitt That’s a good question. My guess is the acquisition of xAI is all about xAI needing more financing and cheaper financing. This acquisition is a pathway to that. SpaceX being a much bigger company, a company that is also making much more revenues. I could bet that there is higher probability that, actually, SpaceX will go public in order to finance itself. At the same time, will it have enough time to prepare itself for the IPO given this acquisition just happened? Can they do that in 6 months? I mean, if anyone can do it, I guess it’s Elon Musk. It’s a strategy to present an even more attractive company with an even more interesting story, a story of vertical integration from AI to space. I guess the story as it’s presented itself right now, it’s one about having your AI data centers in space. Because in space, you have much better solar energy production with solar panels. You have a perfect cooling situation because you are in space. Thanks to Starlink, you have the mean to communicate between the satellites and with Earth itself. I think if someone can pull up a story like AI data center in space, I guess Elon Musk can. There is, of course, a lot of questions about is it practical? Is it economical? Yes. I certainly agree. I’m not clear on the mass, and can you make it work? Again, I mean, Elon Musk single-handedly, with SpaceX, managed to transform the space market on its head. I mean, they are the biggest satellite launching company in the world. They have the most satellites in the world. I mean, I’m not sure I would bet against him, and I guess I would probably believe that he could pull up something. Time frames, different story. The 2-3 years data center in space for AI as cheap as on Earth, I have more trouble with that one. I mean, it’s a usual suspect with Elon Musk. You promise something unachievable in a few years, but, ultimately, you still manage to reach it in 5 or 10. Again, I would not bet against the strategy. Nuno Goncalves Pedro Yeah. I’ve talked to a couple of space experts, people that have launched rockets, and have worked JPL, NASA, and a couple of other places, etc. For what it’s worth, their feedback is, “No way in hell, and we’re decades away.” We’ll see. I mean, to your point, Elon has pulled very dramatic stuff. Not as fast as he normally says he’s going to pull it, but within a time span that we all see it. Difficult to bet against him. In terms of actually the prediction, maybe to respond to the prediction as well, will SpaceX IPO? I’m going to make a prediction that has a very high likelihood of missing the mark, but I think Tesla’s going to buy and merge them both into it. It’s going to become a public company through Tesla. That’s my hypothesis. Bertrand Schmitt No. That’s supposed to be it. That’s how you solve that. Nuno Goncalves Pedro And Elon controls the whole universe. X, xAI, Tesla, SpaceX, all under one umbrella beautifully run. And SolarCity is well in there, of course, so wonderful. Bertrand Schmitt That’s possible. Certainly, you are not the only one thinking Tesla will acquire or merge with SpaceX. To remind everyone, Tesla is around 1.3, 1.5 trillion market cap. Depending on the day, SpaceX seems to be valued at similar range, 1.2, 1.3 trillion. It looks like it’s the most valued private company at this stage. These are companies of similar size, so that’s one piece of the puzzle. When you think about the combined company, we could be talking about a 3 trillion entity. Playing right here with the biggest companies in the marketplace today. Nuno Goncalves Pedro With a couple of tweets from Elon, it will rapidly get to 4 to 5 trillion. Bertrand Schmitt That’s so tricky. Nuno Goncalves Pedro Yes. On AI and back to AI, one thing I think that we’re about to see is this will probably be the year of agentic AI. Obviously, we predict a lot of growth on that side of the fence, in particular on the enterprise B2B side. We see a lot of opportunities coming through. From our perspective, at least at Chamaeleon, we generally believe that there’s going to be a lot of movements on agentic AI. It’s also going to be probably the year of the first big fails of agentic AI that will be newsworthy. There will be some elements about that loop and how it gets closed that will happen. I think we might see some scandals already. We’re already seeing the social network of bots talking to bots. We will see other scandals going on this year even in the consumer space and in the bot to bot space, which we now can talk about or in the AI agent to AI agent space. My prediction is we will see some move forwards. There’ll be some dramatic funding rounds along the way. We’ll see a couple of really cool things out of the gates coming out that are really impressive, but we’ll also see the first big misses of the technology stack. I don’t think we’ll go fully mainstream yet this year, so it’s probably maybe something more for 2027 along the way. That would be my prediction again. I think enterprise will lead the way. We’ll definitely see a lot of stuff on consumer as well that is cool. Then we’ll all have our own personal assistance in our hands, basically, literally in our phones. Bertrand Schmitt Going back to agentic AI, we also started the year with some pretty dramatic move. I mean, the launch of Clawdbot, renamed OpenClaw. I mean, this stuff took fire in like a week or 2. It was coded by just one person who actually didn’t even code the product but used AI to build the product, 100% used AI, proposing some new ways also to leverage AI to do coding. He has a pretty unique approach. It’s not vibe coding. I would say it’s a better way to do that. Then the surprising evolution with the launch of a social network for AI agents, Moltbook. I mean, this stuff, probably there is some fake in it. But at the same time, I think it’s quite impressive because it’s the first time we see truly 100,000 plus agents communicating directly to each other. Yeah. I mean, that’s the first time we see surfacing the possibility of some sort of hive mind on the Internet. It’s pretty surprising. Right now, all of this is a hack done in a few days. By end of year, by 2 years, 3 years, we might discover that, actually, the best approach to AI might not be the AI assistant like we are doing today, but a combination of hundreds of thousands of AI working closely together. We might be witnessing the first sign of new intelligence in a way. Nuno Goncalves Pedro Things like this social network might either be Skynet, the beginning of Skynet. They might be the beginning of Her, or they might just be a fad and nothing really happens. It’s just interesting to see what these agents are doing. Bertrand Schmitt Totally. Nuno Goncalves Pedro Obviously, there are real and clear and present dangers of some of the integrations of AI we’re seeing in the market. Interesting enough, and I’ll ask you for your prediction a bit, Bertrand. I think we’ll probably see the first big mishap of AI being used in some infrastructural decision in the age of AI. I mean, we’ve seen AI issues in the past and software issues in the past. We talked in previous episodes about that as well. Mishaps of software that have led to people dying. But I think probably the first big mishap will happen this year as well. Very public mishap of the use of AI and serve its interactions with infrastructure or something that’s very platform related, etc, that will have big impact that everyone will notice. That’s my prediction for the year as well. We’ll have the first big oops moment, as I would call it, for AI in this new age of full on AI. Bertrand Schmitt I would say first some perspective. I think today, people are not using AI directly for life and death decision, at least not that I’m aware. We’re not going to let AI fly a plane, for instance, tomorrow so you can be, reassured. At the same time, given there is such a race to AI, there definitely might be some mistakes. We were talking about the social network for AI agents, Moltbook. Apparently, all the keys used to secure the AI were shared by mistake because it was not properly locked down. We can see that indirectly, mistakes will be made for sure. Two, it’s highly probable that some people will trust AI too much to do some stuff, and this stuff might not work and might have some grave consequence. Hopefully, there is not so much of this. Hopefully, it’s mostly AI used for the good. But you’re right. I mean, at some point, the more we use the technology, the more there would be issue. I mean, it’s highly probable. Nuno Goncalves Pedro That will lead me to another prediction, which is, and we’ll talk about more of it later, but it probably will lead to the first significant movement in terms of regulatory environment certainly in the US at some point if it happens in the US in particular, where there will be some movement that will be like, “Hey, you guys can’t do this anymore.” Because this will probably emerge from mismanaged interfaces. From systems having access to stuff that they shouldn’t have access to in the first place. Talking a little bit more about what’s happening in AI. You’ve already mentioned some of the issues that relate actually to security and cybersecurity. We keep talking about AI. We keep talking about all these infrastructure pieces and platforms that are being built. I think we’ll have a lot more incidents like the one you just mentioned where things will be shared that shouldn’t have been shared, where people will break systems and get into it, etc. Let’s see where that takes us, which is a little bit ironic because, obviously, with AI, the promise is that cybersecurity becomes more robust as well because there’re agents working on our behalf on the cybersecurity side. There’s also agents working on the other side. Bertrand Schmitt It’s a constant race. It’s the attackers, defenders. Each time you have new technology, you have a new race to who is going to attack or defend the best. Each new wave of technology, it’s an opportunity to challenge the status quo. Nuno Goncalves Pedro The attackers have been winning, and I feel they’ll continue winning in 2026. I think it’s going to still be a year of attack. We’ll see more and more breaches, more and more stuff that will happen. Bertrand Schmitt I don’t know if they will win. I mean, it’s normal that they win once in a while. For sure, some infrastructure is not updated as it should. Some stuff are not managed as it should, so there will always be breaches. I don’t know if things are dramatically going to change because, again, everyone who cares who is going to update his infrastructure with AI for defense. There is no question that you have no choice. We will see. That I don’t know. For sure, AI will be used to attack directly with AI. Maybe you’re able to do bigger, larger scale attack. Or thanks to AI, you are simply able to create new type of attacks more easily. AI can be used behind the scene as a way to prepare and organise new type of attacks, even if it’s not used directly live in the battle. Nuno Goncalves Pedro One topic that we’ll come back to later is the geopolitics of everything, but maybe more broadly. On the geopolitics of AI, it’s very clear that we have an arms race going on. Obviously, the US on the one hand, China on the other hand is the two extremes, putting tremendous amount of capital into data centers just at the base of that infrastructure. Chipset development, chipset access, a huge theme in terms of the export restrictions, etc, that are being forced by the US. I think it will continue. From a European standpoint, obviously, they’re stuck between a rock and a hard place, to be very honest. Let’s see what happens on that side of the fence. My view of the world is that certainly from a US and China perspective, we’re going to see a lot more movements in 2026, like big movements. The Chinese movements we always see in delay.  It takes us a couple of months, sometimes even more than that to understand exactly what’s going on. I think we’re going to see some huge moves this year in terms of the States, the United States of America, and China really pouring capital into the creation of the next big winners around AI. I think the US is obviously more visible. We see a lot of these companies. We’ve just discussed xAI and its acquisition by SpaceX or merger. I don’t know what they’re calling it exactly. Effectively, on the China side, the movements I think are already very big. As I said, it will take a while to figure out exactly what those moves are. One thing that I propose is that at some point, China will have very little dependency on chipsets from the US. I’m not sure it’s going to happen this year, but I think the writing is on the wall. Irrespective of any other geopolitical issues that is coming to the fore at this moment in time. That’s one of the key areas or in arenas of fight. Bertrand Schmitt It makes sense. If you are China, you will look at what happened. You would think that you cannot just depend on the largest of one country. It makes rational sense, the same way it makes rational sense for the US to limit exports to China because there is value to delay some peer pressure that could use these technologies for good but also for bad. If you were an ally of the US, that would be one thing. But when you are not an ally of the US, that certainly should be a different perspective. Maybe one last point concerning agents, I think there will be a lot that will revolve around coding. We can see OpenAI with Codex. We can see Cloud with code. There was, of course, [inaudible 00:18:28] that was trying to be big on agentic coding. I think agentic coding was one of the big transformation in 2025 and is going to get bigger in 2026. I think for a lot of people who do coding, there was a radical transformation in terms of what you can achieve, what you can do, how much you can trust AI to help you code. I start to think we might see this year, the replacement of not just one AI replace one coder, but one AI replace a full team because of the new ability to manage that at scale. Coding might be a common activity where you are going to think about outcomes, think about objective, think about how you organise, but not really coding by itself anymore. A big change, like you used to code, directly your hand on the stuff, but step by step, everyone is going to become a manager of agent. I think in one year, we saw enough transformation to think that in the coming year, the transformation can be even more dramatic. Nuno Goncalves Pedro The big Hardware movements Now switching gears to hardware. Obviously, a lot of movements in 2025 and over the last few years. One piece of thesis that we’ve had long-standing at Chamaeleon is that we will see the emergence of AI devices. Some of them have been tremendous failures as we discussed in the past. I predict that we’ll have a couple of really interesting full stack AI devices in the market this year. Why does that matter? Because, as many of you know, obviously, there’s compute that can happen in data centers and cloud infrastructure all over the world, but also there’s compute that can happen at the edges. The more you can move to the edges and the more you can create devices that actually allow you to have user experiences that are very distinctive at the edge, the more powerful some of these devices might become. I predict Apple will not be the first to launch anything on this. I predict probably OpenAI, after the acquisition of IO, will maybe not launch something this year, but will announce something this year. I’ll step back on that prediction. They’ll announce something this year, but maybe not launch. But we’ll start seeing some devices that have some interesting value in the market, probably devices that are AI devices, but they are very focused on very specific user flows, and so very much adequate to specific activities. I won’t make a prediction on that, but I think areas that would make sense for that to happen would be obviously around fitness, health, et cetera, et cetera, where we already have the ascendancy of products like Oura Ring and others out there. Definitely, that’s one area that might have quite a lot of developments. I think AI-first devices, devices that are very focused on compute at the edges, providing user flows that are AI-enabled to end users, we’ll see a lot more of that and a lot more activity this year. Again, I don’t think Apple will be necessarily ahead of the game. Again, maybe OpenAI will give us something to at least think about and look forward to. Bertrand Schmitt First, I’m not sure it will be that transformational because if it’s not in your phone, in your pocket, there is only so much you can do with it, and there is only so much computing power you will have. I’m doubtful it would be really impactful this year. Nuno Goncalves Pedro I feel we’ve been discussing this shift of paradigm in input and output. For me, some of these devices could lead to that shift. Because, again, a mobile phone is not a great long-term paradigm for the usage that we have because it’s really constrained by the screen. The screen is really what takes most of the battery life away. If we didn’t have that screen, what could we do? If we have the block that is as big as a mobile phone, and it didn’t have a screen, it was just compute, that’s a mini computer, a microcomputer. Bertrand Schmitt That’s a fair point, but I don’t see that transformation this year. That’s really more my point. I can see that you can have AI-enabled smart glasses, and it’s clear there is a race to AI-enabled smart glasses. My point is more to go beyond the gadget, it would take quite a while. It would need to have cameras. It would need to analyse what you see. It would need to hear what you hear. Again, it might come, but then at some point, it would be okay, what do you do with it? We have the example of the movie Her. That’s showing Her what it could be. There are definitely possibilities. It’s clear that if you take the big VR headset like the Apple Vision Pro, there is a failure from that perspective in the sense that I think it’s a great, amazing device. The big problem is that it’s doing way more that makes sense. I think there will be a clearer separation between your smart AR glasses that has to be light, that has to be always unconnected, and that’s primarily there to help you make sense of the world around you. The true VR headset that doesn’t really require much in terms of AI, and it’s just there to immerse you in a different world. For this, we know, unfortunately, in some ways, that there is not a lot of demand for it. Maybe there is little demand because you are too hidden in your own world. The technology is not working well enough yet. There are a lot of reasons. But I think Apple trying to do both at the same time, AR and VR, with the Vision Pro, was a pretty grave structural mistake. I think we would see a clearer line of separation between the two. There is bigger market opportunity for AR glasses. That, I certainly agree. There is opportunity to connect that to a computing device. As you talk about, your glasses are your screen, your phone becomes something in your pocket connected to your glasses. Nuno Goncalves Pedro For me, Apple has their way of doing things. From the perspective of what you said, they normally really plan their devices. Even if it’s a big shift in terms of a new area, like they tried with the Vision Pro, and we criticised them for launching it as a device that should have been more of a dev device that they really launched as a full-on device, but that’s their playbook, classically. I think Apple needs to change how they put products out and how they experiment with those products, et cetera. I think they have enough money to be doing everything all the time and figuring it out. If they don’t want to put it out, then they need to do a lot more hell of testing internally with their silos, but they should be playing across all these arenas, VR, AR, everything. They just should put devices out that are either ready for prime time, or they should call it something else. They should call it like this is a dev device or whatever it is. Bertrand Schmitt I agree with you. My complaint is more that it was marketed as a consumer device when it was not. It was a true developer device. Two, they tried to mix the two at once, and it made no sense. No one is going to walk in their home or in the street with their Vision Pro on their head. You have to be deranged, quite frankly, to have use cases like this. I think that for me is a crazy mistake from a company like Apple that prides itself in pure UI, pure user interface, very well-designed device for one specific use case, not mixing the two use cases. We still don’t have Macs with a touchscreen, you know?  We still don’t have an iPad with a good OS that makes use of this great hardware. For some strange reason, they decided to mix everything in the Vision Pro with a device that weighs a ton on your head and is so uncomfortable. That’s why, for me, I’m like, “Guys, what is wrong? Why did you let this team run crazy?” I hope at some point, Apple will go back to the drawing board. My understanding is that that’s what they are doing. They are going to have two devices, one smart glasses, an evolution of the Vision Pro, just focus on VR. They might actually abandon the concept of the pure VR-oriented headset. Because, from a market size perspective, it might not be big enough for Apple, quite frankly. Nuno Goncalves Pedro I read on all of the above, and people at this point was like, “Why are then players like Samsung and others not doing it. LG, et cetera?” Because those players historically have not invented new categories. They’re amazing at catching up once the category is invented, and then they scale the hell out of it, and that’s what these companies have been exceptional at. I wouldn’t see a dramatic innovation, I think, in terms of devices coming from any of the big ones on that side of the fence. Not to disrespect them in any way, but I think that’s not been their playbook ever. Again, if the origination doesn’t come from a start-up or from an Apple, I don’t see those guys going after it. My bet is that we’ll see some start-up activity and, again, hopefully, some announcement from IO now within the OpenAI world. Bertrand Schmitt I would slightly disagree with you. I see where you are coming from. But take the Samsung Galaxy Note, that sudden much bigger headphone that no one was doing that was launched by Samsung, at some point, it forced Apple to launch an iPhone Max. Let’s look at the Z Fold that Samsung launched 7 years ago, copied by everyone. Now Samsung launching a trifold. Apple has still not launched their foldable phone. I think there is a mix, actually, of sometimes- Nuno Goncalves Pedro For me, that’s not a proper new category. It’s still a mobile phone. It just happens to have a screen that folds in half. Bertrand Schmitt The iPhone was still a mobile phone, you could argue.  Nuno Goncalves Pedro No. I think the iPhone was…  I could actually agree with you on that point. Maybe Apple is not as innovative in that case. I think what Steve Jobs was exceptionally good at in terms of his ability as this master product manager was to be an exceptional curator of user flows and user experiences, and creating incredible experiences from devices based on that. That was his secret sauce. Could you say, “Wasn’t all of this stuff already around?” It was. You just put it all together very neatly and very nicely. But if you’re talking about significant shifts in how a category is done, the iPhone was a significant shift in how the category was done. The Fold is still an interesting device. I actually have a Fold right now in front of me. The 7 that you highly recommended to me that we both got, the Z Fold 7. I think they do amazing devices. I don’t think they normally are the most innovative players. Then, when they come to innovation, it comes from technology edges. Obviously, they have Samsung Display, there’s a bunch of other things. They had the ability to do foldable screens in-house themselves. Bertrand Schmitt I don’t disagree with you. I think there is an interesting situation where some companies have some strengths, another one has some strengths. My worry with Apple is that this was not demonstrated with the Vision Pro. The Vision Pro was a hot pot of technologies barely integrated together, with use cases absolutely not well-defined and certainly not something that makes sense for most of us. There is a question of has Apple lost it? While Samsung actually keeps doing their own stuff, that, yes, might be more minor improvements, but at least they are doing it. Because it looks like Apple is missing the train on even the minor improvements. By the way, you might not be aware, but Samsung launched its Vision Pro competitor. Interestingly enough, it might be a better product in some ways, being much lighter and much more comfortable. Nuno Goncalves Pedro We should play around with that and report back to our listeners. Of Start-ups and VCs Moving to venture capital and the startup ecosystem and what’s happening there, I think it is very much a bifurcated environment, and it’s bifurcated for both VCs and for startups. If you’re a startup in the AI space, and you have the hottest team since sliced bread, and you can create FOMO at the speed of light, you can raise ridiculous rounds. Five hundred million at the $3 billion, or $4 billion, or $5 billion valuation, and you still haven’t really even started. First round, you can raise 500 million. That’s back to the whole discussion on Bubble and where are we, et cetera. Some of these companies might actually become huge, some of them might not. But definitely, we are seeing really the haves and have-nots on the startup ecosystem with incredible teams raising a lot of money very, very early on or mid-stage if they’ve already existed for a while, and then the rest not being able to raise. We see a lot of non-necessarily AI sectors, some of the areas of SaaS that don’t necessarily have AI in it, or fintech, or the consumer space that are really, really struggling. If you don’t have an AI story for your startup right now, it’s extremely difficult to raise money unless your numbers are just the best numbers ever. That’s, I think, the first part of the element of bifurcation that we’re seeing today. The second element of bifurcation that we’re seeing today in terms of fundraising is for VCs themselves, and really propelled by the large VC firms raising more and more capital in recent orbits, announcing 15 billion across funds raised. Lightspeed, I think, had made an announcement a couple of weeks ago as well. They’ve raised a bunch of money as well. The big guys are all raising a lot of money. At some point in time, the question some of you might ask is, “These VCs are redeploying more and more money if they have a couple of billion for a VC fund. How does that look like? Is that still VC?” My perspective, I’ve shared before in some of our previous episodes, is that that’s no longer venture capital. At that point in time, we’re talking about something else. Private equity hedge funds, if you want to call them, maybe funds that are really driven by growth investment or late-stage investment. If you have a couple of billion under management, you’re not going to make your returns by writing a $3 million check in a series seed and leading that round.  That has implications for everyone in the ecosystem. It has implications for smaller funds that obviously have a lot more difficulty in raising capital. It’s difficult to differentiate. Last but not least, also for startups that really continue searching for that capital that is out there. Andreessen Horowitz, for example, runs Speedrun, which is a great program for companies around consumer in particular. Initially, it was a lot for gaming. But at some point in time, Andreessen Horowitz could decide that they don’t want to invest more in you. They just put money from Speedrun, which is obviously a very small check compared to the very large checks they could write mid to late stage and that will have an effect on you as a startup. What happens at that point in time if Andreessen Horowitz is not backing you up in later stages? More than that, what happens if I can’t get these big funds interested in me? Are the small funds still valuable to me? Punchline, my view is yes. Obviously, we’re a smaller fund, so there’s parochial interest in what I’m saying. Small funds can still create a ton of value for you, also in terms of credibility, ability to accompany you in those first stages of investment, and the ability to bring other larger investors later down the road as well. There’s definitely a big movement happening in terms of the fundraising for VC funds, which we shouldn’t neglect, which is the big guys are raising a lot more capital and are therefore emptying the market to smaller funds that are having more and more difficult raising at this point in time. We had discussed that there would be a need for concentration in the industry, that micro funds would need to concentrate, and we didn’t have the space for so many micro funds as we had around. But the way it’s happening is extremely dramatic at this moment in time. I think it will continue through 2026. Bertrand Schmitt Remember a few years ago, with the rise of AI, there was more and more of the question about, “What’s the point of SaaS at this stage?” Because SaaS was around for 15 years. Basically, how do you come up with something new that was not already tested, validated by the market? How do you bring something new? We say this was reinforced to the power of 10. If your product is not clearly built from the ground up for a new use case enabled by AI, anyone could then might have built your product 5, 10 years ago, and therefore, why now has no clear answer, and it’s a big problem. I’m still surprised myself to still see some entrepreneurs where you talk to them about AI because you don’t see them in the deck, and they explain to you, “It’s not yet there,” and you’re like, “What’s wrong with you guys?” Fine. Do whatever you want. Do a small business and whatever, but don’t think you can come up pitch and raise without an AI story. The second category is people who come with an AI story, but you can feel very quickly, I guess you saw that many times, Nuno, where just a story layered on top with little credibility. It’s not better. It’s not enough to just have a story. Your business needs to be radically built differently or radically proposing some brand-new use cases that were impossible to solve 5 years ago. Nuno Goncalves Pedro To stack up on that, absolutely in agreement. If you’re just adding to the story, and it’s an afterthought, and you’re just trying to make the story somehow gel, once you go into one or two layers of due diligence, your investors will very quickly realise that you’re not really AI-first or dramatically AI-enabled or whatever. It’s just you’re sort of stacking something on top of another thesis. It needs to make sense from the product onwards. It’s not just, let’s just put it together with chewing gum, and magically, people will give you money. It was true also if we remember the good old crypto blockchain days, where everyone’s investing in crypto. A lot of stories that didn’t make much sense. In that sense, it’s not very different. I would go one step further. I think in the world of the VC winter that we’re a little bit in, where it’s more and more difficult if you’re a smaller fund to raise your fund at this moment in time, there’s a lot of sources of distinctiveness still talked about, like proprietary networks, access to deal flow, fast track record, all that stuff that really, really matters. But our bet continues at Chamaeleon continues being that you need to be AI-first as a VC fund yourself. You need to have core advantages in using not only readily-available AI tools or third-party available AI tools, data sources, technology stacks, but actually building your own stack over time, which is what we did with Mantis at Chamaeleon. Again, just to reinforce that, I think we’re at the beginning of that stage. We, Chamaeleon, are ahead of the game, but we think that the rest of the market will have to move towards that as well. Still, to be honest, very surprising to me to see that many significant large players are doing very little still around some of these spaces. They have data scientists. They’re running some tools. They’re running some analysis and all that stuff, but it’s still, again, back to the point I was making for startups, all glued up with chewing gum. It doesn’t all come together nicely, which it does need to from a platform standpoint. Bertrand Schmitt It’s quite surprising. I agree with you that some VC funds might think that they can do business as usual in that brand-new world. It’s difficult to believe. Nuno Goncalves Pedro Maybe moving a little bit toward the capital formation piece. We already discussed the M&A space really accelerating. We’ve also discussed the IPO market and some predictions on that. Secondaries, there’s obviously a lot of liquidity coming from secondaries from mid to late stage. I think it will continue throughout the rest of 2026. A lot of activity in buying, selling in secondaries as some asset managers are becoming more distressed, as some very high net worth individuals and family offices are becoming more distressed as well, at the same time, where there’s a lot of opportunities to potentially arbitrage around some investments. I believe a lot of money will be made and lost this year by decisions made this year, just to be very, very clear in terms of equity, purchases, et cetera. Exciting year ahead of us. Definitely a very, very interesting market ahead of us. Secondaries, M&A, growth, and late-stage investing, also, early-stage investing will continue just for those that were wondering. Last but not least, the public markets, the IPO market as well. Bertrand Schmitt One of the big questions for the IPO market would be, will SpaceX go public? Would it be good for the startup ecosystem? Because suddenly that they go public, it would be to raise money. If they raise money, will there be any money left for anybody else? That would be an interesting test of the market. For sure, it would be proof that market are risk on financing a new IPO like this one. Or as you said, maybe there is no IPO, and it’s a merger with Tesla. Time will tell. Nuno Goncalves Pedro Regulatory & Geopolitical Headwinds… and the Wars Moving maybe to our topic of regulation and geopolitical headwinds, as we’re seeing … definitely not tailwinds. The Google antitrust verdict and, obviously, the remedies are expected to come forward now, and a lot of people are saying, “There are some risks of structural separation.” What do you think? Is it cool, but nothing will happen in the end dramatically? Alphabet or Google? I’m not sure, actually. It’s Google LLC. I think that’s the case. It’s The United States versus Google LLC. Bertrand Schmitt I’m not sure. Personally, I’m not a big fan. I think there needs to be a better way to manage some anticompetitive behavior. I’m not a big fan. There was this temptation to do that for Microsoft 25 years ago. Look at what happened. No one needed to buy Microsoft to leave space for others. I see the same with Google, and I guess they are happy to not be the number 1 in AI today, but to have an open AI in front of them. Even if they are doing a great job, by the way, to move forward and go faster and faster. Personally, quite impressed now with some of what they have released. Gemini 3 is doing great from my perspective. I’m not a big fan of this. I think to be clear, it’s important that bigger companies don’t behave anticompetitively, but at the same time, we need to find the right approach where it’s not about breaking these companies, and it’s also not about forbidding them to do acquisitions. Because then you end up with what NVIDIA just did with a $20 billion acquihire IP licensing type of acquisition, because they didn’t want to have the uncertainties. They didn’t want to wait 1–2 years in order to acquire the people and the technology, so they organised it in a different way. But I don’t like that. I think they should be able to acquire companies without facing so much uncertainty. To be clear, it’s not new. Uncertainty when you are Google, NVIDIA, or others, it happens. It has happened for a decade plus, 2 decades. I think there needs to be, for sure, some safety valves. At the same time, we want an efficient capital market. An efficient capital market need companies that can acquire other companies. If you don’t do that efficiently, it will be worse for the entrepreneurs, it will be worse for the investors, it will be worse for everybody. I think we have not reached a good equilibrium from my perspective. We need more efficient acquisition process. And at the same time, we need to also enforce faster anticompetitive behavior. Because what you talk about concerning Google, this is a case that was what? That is 10 years old. You see what I mean? This is way too long. If you’re a startup, you are dead by then. It’s like the story of Netscape facing Microsoft. They were dead long after the fact. I think we need a different approach. I’m not sure the best answer. I’m not sure we’ll get a better approach. There are probably too many vested interest. My hope is that it will get better with this current administration because, certainly, the past administration was very anti acquisition and efficient markets. Nuno Goncalves Pedro We’ve talked about the European Union AI Act a bunch of times, so I don’t want to spend too many cycles on that. The only effect that I would say is we are seeing in very slow motion the splitting of the Internet. I once had Tim Berners-Lee, by the way, shouting at me that we were going to break the Internet when we were applying for the .mobi top-level domain. I was part of that consortium that eventually did get the .mobi top-level domain, and I had him shouting at us. But, apparently, this is going to split the Internet, Tim. So in case you’re listening. Because it will create all these different rules. If your data is relating to consumers there, then it’s treated in a different way, and The US is… Well, obviously, we have the case of California with its own rules and laws. I don’t know. I feel we’re having a moment of siloing that goes beyond economic and geopolitical siloing. It will also apply to the digital world, and we’ll start having different landscapes around it. We’ll see how this affects global expansion of services, for example, around AI, particularly for consumer, but I don’t foresee anything dramatically positive. Recently, we had the whole deal around TikTok finally having a solution for their US problem where there’s now a US conglomerate magically that owns it. The conglomerate doesn’t magically own it, they just straight up own it for the US. But it was driven by many of these concerns around data ownership. Where’s the data? Where is it based? I think a lot of other concerns that have to do with the geopolitics of China, obviously, being the basis of ByteDance, the owner of TikTok, that still is a significant owner, by the way, in TikTok in US. Then also the interest in the economics of making money out of something as powerful as TikTok, to be honest, in The US. Just to be clear, I don’t think this was all about the best interests of consumers. It was also about money. Just follow the money. Bertrand Schmitt There are for sure, some powerful interest at play. But let’s be clear. I think one is data, as you rightfully said, but the other one is algorithm. It’s not as if China is authorising any competitor on its territory. They have blocked access to most of the Internet platforms from the US, either finding new rules or just trade blocking them. So I don’t think it’s fair competition. You don’t want some of that data in China about the US or European consumer. Three, it’s about the algorithm. If suddenly, you are a foreign power, and you can as we know in China, you better follow what’s required of you from the Chinese Communist Party. You cannot take a chance with influencing other stuff like elections in other countries. It’s fair from the US perspective. One could even argue it’s fair from a Chinese perspective to want that. I think the only one in the middle who doesn’t really know what they want is Europe because on one side, they want to benefit from American platforms, on the other end, they want to have some controls. On the other end, they don’t create the environment for startups to flourish. So in that weird situation where they have to accept some control by the big US providers and either provider of underlying infrastructure or provider of consumer business facing services. Then they try to regulate them. But I think they are misunderstanding the power relationship, and I think some of this regulation would get some blowback, at least by the current administration. Just, I believe, this morning, there was some news around X being under a criminal investigation in France. This is not going to end well for the French startup and VC ecosystem. This is not going to end well for France and Europe when you depend so much from your American friends. Nuno Goncalves Pedro Regulation will be weaponised. Regulation constraints around exports, all of this will be weaponised geopolitically, and the bigger guys will normally win. I think that’s normally what we’ve seen. Just on TikTok just to… And you guys, if you’re listening to us, just see if you see a pattern here, but obviously, 19.9% still owned by ByteDance of the TikTok entity in the US. It was initially said that 80% of the TikTok entity is owned by non-Chinese investors. Initially, people were saying US investors, and then they changed it to non-Chinese because MGX, I think, has 15% of it. MGX is based in the UAE, connected obviously to Mubadala, the Abu Dhabi sovereign wealth fund. Silver Lake is in there, I think, with 15% as well. Oracle as well with 15%. Those three are the big bucket owners together, 45%. Silver Lake having collaborated with MGX before, and I’m sure a lot of connectivity there. Then you still see a pattern in this in terms of shareholders. If you don’t, then just Google it. Dell Family Office, Vastmir Strategic Investments, which is owned by billionaire Jeff Yass, Alpha Wave Partners, obviously involved with a bunch of things like SpaceX and Klarna, Virgoli, Revolution, which is Steve Case’s, a former founder of AOL, is also in there. Meritway, which is managed by partners, I think, of Dragonair. Vinova from General Atlantic, an affiliate of General Atlantic. Also, NJJ Capital, which I believe is Xavier Nil, the French billionaire that founded Iliad. Mostly American, I think, if the math is correct. 80% non-Chinese, which was what mattered, I think, in many cases. But do see if you saw a pattern in most of those investors. I won’t say anything more than that. Maybe moving to other topics, maybe just to finalise on regulation and geopolitics. In geopolitics, we should talk about wars if we predict anything. Not that we are nasty and one want to be negative, but what the hell is going on? Will we have ending to the wars we already have ongoing or not? But before that, the struggles on the App Stores, I think, will continue both for Apple and for Google Play Store. The writing’s on the wall, the EU keeps pushing it dramatically and Apple keeps just doing stuff. I’m on the board of an App Store company. Apple just creates all these things that basically make you not really… It doesn’t work. You can’t provision then an App Store on Apple devices. On iPhones, et cetera. We’ll see how that will continue going, but I feel the writing’s on the wall. Both Apple and Google will have to open up a bit more of their platforms. I’m not sure it will have a huge impact in the medium to long term, but definitely we need to see more openness in access to apps as given by the two big platform owners, Apple and Google, out there. Bertrand Schmitt Let’s be clear. Google is way more open than Apple. We both have Android devices. You can install alternative app stores. It’s a different ballgame by very far. Nuno Goncalves Pedro Google does other nasty stuff. It’s public. You can check which board I’m a part of. You can see what that company has done towards Google over time. But to your point, yes. It is true that Google has been more open than Apple, but Google has done their own things. Just to be very clear, so I’ll just leave that caveat bracketed there for people to think about it and maybe read a little bit about it as well. Bertrand Schmitt I can say that, me, from my perspective, that path of total control that Apple has been going through on all their devices, that includes macOS, pushed me to, over the past 2, 3 years, to completely live and abandon the Apple ecosystem. I just couldn’t accept that level of control, that golden handcuff approach of the Apple ecosystem, each their own obviously, they are golden, their handcuffs, but they are still handcuffs. Personally, that pushed me way more to Linux, Android, Windows, back to Windows after all these years. I just couldn’t stand it anymore. I want to pick my devices. I want to pick what I install on them, and I don’t want to be controlled like this by just one entity for all my tech devices. For me, at some point, it was just not acceptable anymore. It’s still very warm, very golden handcuffs, but for me, they were just handcuffs at this stage. Yes, what they are doing with the App Store is very typical of that mindset. I think it’s quite sad because I think it started with good intention in some ways. “We need a new computing paradigm, we need to make things smoother and safer,” but it has really become a way to control your clients. For me, it has reached a point where it’s just way too much. Nuno Goncalves Pedro There’s obviously the great power comes great responsibility that uncle Ben told Spider-Man or Peter Parker. But there’s also with great power comes shitload of money, and control. So it’s like, “Yeah. Should we open the server? Do we want to delay opening it up?” “Yeah.” Anyway, it is what it is. Maybe let’s end on the more difficult note of the episode, which is going to be around wars. What’s our prediction? Will we have an end to the Gaza situation with Israel? Will we have an end to Ukraine and, obviously, Russia? What will happen in Iran? Those are the three big, big conflicts right now. Then, obviously, if we want to add just bonus points, what’s going to happen to Greenland, and what’s going to happen to Taiwan, and what’s going to happen to Venezuela? Let’s throw the whole basket in there. We’ve never had like… Let’s talk about all these territories and all these countries. At some point in time, I’m saying this in a light manner, but it’s obviously more tragic than it should be light, and people are dying, and there’s a lot of implications of all of that that is happening right now. Do you have any predictions, Bertrand, for this year? Bertrand Schmitt No. It’s tough to predict on an individual basis. I think on a more bigger picture basis is on one side, obviously, the rise of China on one side. You have also the rise of other countries like India, while very indirectly connected to some of these conflicts are still part of the game, buying oil from Russia, for instance. At the same time, I think overall, the US is more clear about with the sheriff in town. I think it’s good because in some ways, you cannot pay for the goods, you cannot have such a massive advantage versus nearly every other country on earth and just not be clear about who is the boss in some ways. As a result, what are the rules of the game and how it should be played? The US is not alone, obviously, you have China, you have Russia, you have India, you have Europe. You have different other countries. But at some point, it’s not good when countries are not rational and are not clear. I think I prefer the current situation where things are more clear and where you have to assume responsibilities about what you are doing. It’s time to be rational again about how the world behave. Yes, the concept of power and balance of power. I think there has been that dream, maybe mostly coming from Europe, about the end of history. I think that’s simply not the case. It’s not the end of history. It’s still about the balance of power. It has always been about the balance of power. If you are dumb enough to think it was not about that anymore, I just have a bridge to nowhere to sell you. I don’t have specific prediction, but I think it’s clear there is a new sheriff in town. There is a new doctrine about the Western Hemisphere that has been in some ways resurrected on the [inaudible 00:51:35] train, and I think we’ll see more of it. I think at this point, the biggest question is for the Europeans. What do they want to do? Because right now, their position of being a dwarf militarily while being a pretty big giant economically, I don’t think it works. Nuno Goncalves Pedro I agreed on everything that you said. I do have predictions. I’ll stick a flag on the ground just with my predictions. Bertrand Schmitt Good luck. Nuno Goncalves Pedro They are mostly positive. I do think we’ll see an end or, for the most, end to the two big conflicts, the one in Gaza and the one in Ukraine. I think Ukraine will end up in readjustment of territory and splitting between Russia and the Ukraine, but the end of hostilities, I think that we will see an end to the conflict in Gaza also with a readjustment on what that will mean for the Palestinian territories and the Palestinians in general. That I’m not sure, but I feel that there will be an end to those two big conflicts. Iran, I have no clue. I will not put a stick on the ground that I have no clue. There are so many things that could go wrong there. I’ve been reading some really interesting thoughts about even some aggressive thoughts that this might be the time to really change regimes in Iran and for the US to have a bit more of an aggressive stance. I really don’t have a perspective. Obviously, there’s a lot at stake there. Then, if we talk about the other parts, Greenland, I will not opine too much on. Maybe we’re done for now. Maybe there’ll be some other concessions to the US that weren’t already there in the ’50s. Taiwan, I won’t bet either. I’m sad to say I think it might happen at some point in time, but I’m not sure when and what would drive it. Last but not the least, Venezuela is my only really negative prediction. I feel it will continue to be a significant dictatorship as it was before managed enough by other people with the difference now that it has a tax to be paid to the US in the form of oil of some sort, etcetera, and maybe gas, maybe other things as well that it didn’t have before. That’s probably my most negative prediction for the coming year on the geopolitical side. Bertrand Schmitt Without going into detail, I would mostly agree with what you shared. At least that makes sense. But as we know, it’s not always what makes sense, but what might happen. I can tell you 100% I would not have guessed this operation against Maduro. This was so well done, well executed, and shocking at the same time that it’s… I think it shows that it’s hard to guess some of this stuff because there are certainly some new ways to wage limited war, for instance. So it’s certainly interesting, and we certainly need to get used to pretty bombastic statements. But for Venezuela, I don’t think it can be worse than what it was before. I’m probably more optimistic that gradually it can get better. Nuno Goncalves Pedro Just to put perspective on why we’re not making predictions on some of these elements, I think this is a funny story, but I was in Madeira. Actually, first time I was in Madeira, although I’m originally from Portugal. I’ve never been to the islands. Obviously, as you guys know, or some of you might know, there’s a lot of connection between Madeira and Venezuela. There’s a lot of immigration from Madeira Islands to Venezuela. One of my Uber or Bolt drivers there in Madeira was Venezuelan. Was born in Venezuela, but Portuguese descent, et cetera. He was telling me this was still last year. Late last year. Because I told him I lived in US, et cetera, and he was like, “Oh, hopefully, Trump will get Maduro out of there.” In my mind, I was like, “Dude.” No disrespect to the gentleman, but it’s like, “Okay. Mike, your perspective on geopolitics is maybe a little bit exaggerated.” And a couple of days later, we know what happened. When geopolitical decisions are better predicted by some probably very astute Uber drivers, you’re like, “Maybe I shouldn’t make a bet. I have no clue what’s going to happen, no clue what’s going to happen in Greenland, et cetera.” Anyway, a couple of predictions on that element. Bertrand Schmitt That’s why it’s so right. You have to be careful with the prediction, but it doesn’t remove the fact that I think nations and companies that have to play a global game have to understand in some ways what is the game, what are the powers in place, what could happen potentially, but also be realistic. Not be about wish and dreams, but more about, what’s the power relationship? Who has the money? Who has the means? Who has the capacity to do this or that? Because if you start that way, at least the scope of what’s possible, what’s reasonable is more and more clear more quickly. Some stuff like happened with Maduro, I would never have predicted, but for sure, if there’s one country that can do this sort of stuff, it’s the US. I’m not sure anyone has a technology and the means in terms of support infrastructure to do something like this. It’s tough to predict what will happen a year from now for any specific country, but I think that even trying to get a better understanding about the forces in play and their capacity and understanding and accepting that at some point, it’s all about real politic and relationship of power, the more your eyes would be wide open about what’s possible versus simple, wishful thinking. Nuno Goncalves Pedro Fintech, Crypto and Frontier Tech Moving maybe to our last section around fintech, crypto, and frontier tech. For me, just two very quick predictions, views of the world. I think on the frontier tech side, I won’t make a prediction. I will just tell you all to go and listen to our episodes, the one on infrastructure, which is immediately prior to this one, and the episodes that we’ve had around a couple of other topics including AI, what’s the future of your children, because I think they illustrate a lot of the points that we’re seeing and manifesting themselves over the next year and over the next 2 or 3 years as well beyond that. I feel those tomes are complete in and out of themselves, so you can just go and listen to them. Then my second comment is on crypto. I feel crypto has become of the essence, particularly under the current administration in the US, very favored. Obviously, we are now in a world where crypto is just part of the economic system, and I think we’ll see more and more of that emerging, and in some ways, crypto is becoming mainstream. Question is what blockchains will be the blockchains of the future? Obviously, there’s a bunch of bets put out there. We, ourselves, as Chamaeleon, have one investment in one of the significant bets in the space. But besides that, who’s going to win or not, we feel that we’re past the crypto winter. It’s now mainstream days, and we’ll see a lot more activity in there. Bertrand Schmitt I must say with crypto, I’m a bit confused. As you say, we are past the crypto winter. There is much less uncertainty in regul

This week @adafruit we're showcasing the IoT Art Display with PyPortal and CircuitPython. Prototyping a simple NeoPixel LED lightbar for MIDI controllers. Shop talking about sculpt coating on 3D prints. This week's time lapse features an articulating toy inspired by Punch the Monkey. PyPortal Art Display Guide: https://learn.adafruit.com/pyportal-art-display Adafruit PyPortal https://www.adafruit.com/product/4116 https://www.digikey.com/en/products/detail/adafruit-industries-llc/4116/10230008 QT PY RP2040 https://www.adafruit.com/product/4900 NeoPixel Strip with JST https://www.adafruit.com/product/3919 NeoPixel Driver BFF https://www.adafruit.com/product/5645 Keyboard Sale: https://www.adafruit.com/category/1029 Timelapse Tuesday PunchPal Flexy Orangutan By GEEKDECO https://makerworld.com/en/models/2440810-punchpal-articulated-comfort-orangutan#profileId-2678435

More resources? ----------------------- Watch Full Episodes in my YouTube channel! https://youtube.com/@drtjahn ---------------------- Get Your Free Copy of my book, "Podiatry Profits Book: Crafting A Seven-Figure Lifestyle Practice" to grow your podiatry practice. You just cover the shipping: https://www.podiatryprofitsbook.com ---------------------- Do you want to build your dream private practice without the hassles of insurance networks? Then schedule a FREE 45-min Strategy Session with me. We will dive to look at your current practice and I will provide you with a crystal game plan for you: https://drtjahn.com/the-profit-accelerator-session/ ---------------------- I've created this EXCLUSIVE Private Facebook Group community of like-minded podiatrists who are coming together to build their DREAM PRIVATE PRACTICE, and FREE to join!! https://www.facebook.com/groups/podiatryprofits

In this episode, I speak with returning guest Dan Olsen, product management trainer, consultant, speaker, and author of The Lean Product Playbook. We go deep into the rise of "vibe coding" and what it means for product teams. Dan has gone deep into vibe coding, is offering training courses in it, and believes it firmly sits within his existing Lean Product Playbook process and supports the Product/Market Fit Pyramid. Episode highlights AI shifts the product bottleneck – As AI tools make engineers more productive, the limiting factor increasingly becomes product discovery and decision-making rather than development capacity. Product management isn't going away – AI can automate some tasks, but judgement, prioritisation, and making decisions under uncertainty remain core human responsibilities. The rise of the product builder mindset – New AI tools allow product managers to prototype ideas directly, giving them a more hands-on way to explore solutions. The vibe coding spectrum – AI development tools exist on a spectrum from simple browser-based tools through to full developer IDE integrations, letting teams adopt them at different levels of technical depth. Vibe prototyping vs vibe coding – For most product managers, the real opportunity isn't replacing engineers, but quickly generating interactive prototypes that help teams explore ideas before committing to production code. Divergent thinking still matters – AI tools often generate a single solution, so teams need to deliberately explore multiple directions and alternatives rather than blindly optimising the first result. Prototypes have four key audiences – Early prototypes help clarify ideas for the creator, align the product team, communicate concepts to stakeholders, and gather feedback from real users. Context beats clever prompting – The quality of AI-generated output depends far more on the context, requirements, and constraints you provide than on the prompt itself. Iteration beats one-shot builds – The real power of these tools comes from rapid experimentation and refinement rather than expecting a perfect result from a single prompt. ... and much more. Dan's stuff LinkedIn: https://www.linkedin.com/in/danolsen98/ Dan's Website: https://dan-olsen.com/ Dan's Vibe Coding Template: https://dan-olsen.com/vibe-coding/ YouTube: https://www.youtube.com/danolsen Lean Product Meetup: https://www.meetup.com/lean-product/ The Lean Product Playbook: https://amzn.to/1EYCUdP

In This Episode: Apple announcements. Coding with AI. Copyright and AI. This week the TEH Podcast is hosted by Leo Notenboom, the “Chief Question Answerer” at Ask Leo!, and Gary Rosenzweig, the host and producer of MacMost, and mobile game developer at Clever Media. (You’ll find longer Bios on the Hosts page.) Top Stories 0:00 GR: New Apple Stuff Might be a new low-end Macbook. 8:00 Lightweight? 13:00 GR: Vibe Coding Limits Coding with AI 20:00 LN: Learning how to ask for what you want Different possibilities for the future 30:00 GR & LN: Let's talk about why we use AI art again in light of https://www.theverge.com/policy/887678/supreme-court-ai-art-copyright  38:00 Faking real 40:00 How will it apply to video? How about using AI as a CGI tool? 46:00 LN: Server moves. Very geeky, but kinda interesting maybe. And how I took 50 sites offline with a single click. Oops. Ain’t it Cool 55:00 LN: The Collected Stories of Arthur C. Clarke – (Audio) 56:00 GR: Rental Family (Disney+) BSP: Blatant Self-Promotion 58:00 LN: How Does Cloud Storage Work? – https://askleo.com/75658   59:00 GR: 10 Ways To Start Recording Video With Your iPhone Fast https://macmost.com/10-ways-to-start-recording-video-with-your-iphone-fast.html Transcript teh_262 Video https://youtu.be/E5OqViJQREk

Dive into the realities of AI-assisted coding, the origins of modern fine-tuning, and the cognitive science behind machine learning with fast.ai founder Jeremy Howard. In this episode, we unpack why AI might be turning software engineering into a slot machine and how to maintain true technical intuition in the age of large language models.GTC is coming, the premier AI conference, great opportunity to learn about AI. NVIDIA and partners will showcase breakthroughs in physical AI, AI factories, agentic AI, and inference, exploring the next wave of AI innovation for developers and researchers. Register for virtual GTC for free, using my link and win NVIDIA DGX Spark (https://nvda.ws/4qQ0LMg)Jeremy Howard is a renowned data scientist, researcher, entrepreneur, and educator. As the co-founder of fast.ai, former President of Kaggle, and the creator of ULMFiT, Jeremy has spent decades democratizing deep learning. His pioneering work laid the foundation for modern transfer learning and the pre-training and fine-tuning paradigm that powers today's language models.Key Topics and Main Insights Discussed:- The Origins of ULMFiT and Fine-Tuning- The Vibe Coding Illusion and Software Engineering- Cognitive Science, Friction, and Learning- The Future of DevelopersRESCRIPT: https://app.rescript.info/public/share/BhX5zP3b0m63srLOQDKBTFTooSzEMh_ARwmDG_h_izkJeremy Howard:https://x.com/jeremyphowardhttps://www.answer.ai/---TIMESTAMPS (fixed):00:00:00 Introduction & GTC Sponsor00:04:30 ULMFiT & The Birth of Fine-Tuning00:12:00 Intuition & The Mechanics of Learning00:18:30 Abstraction Hierarchies & AI Creativity00:23:00 Claude Code & The Interpolation Illusion00:27:30 Coding vs. Software Engineering00:30:00 Cosplaying Intelligence: Dennett vs. Searle00:36:30 Automation, Radiology & Desirable Difficulty00:42:30 Organizational Knowledge & The Slope00:48:00 Vibe Coding as a Slot Machine00:54:00 The Erosion of Control in Software01:01:00 Interactive Programming & REPL Environments01:05:00 The Notebook Debate & Exploratory Science01:17:30 AI Existential Risk & Power Centralization01:24:20 Current Risks, Privacy & Enfeeblement---REFERENCES:Blog Post:[00:03:00] fast.ai Blog: Self-Supervised Learninghttps://www.fast.ai/posts/2020-01-13-self_supervised.html[00:13:30] DeepMind Blog: Gemini Deep Thinkhttps://deepmind.google/blog/accelerating-mathematical-and-scientific-discovery-with-gemini-deep-think/[00:19:30] Modular Blog: Claude C Compiler analysishttps://www.modular.com/blog/the-claude-c-compiler-what-it-reveals-about-the-future-of-software[00:19:45] Anthropic Engineering Blog: Building C Compilerhttps://www.anthropic.com/engineering/building-c-compiler[00:48:00] Cursor Blog: Scaling Agentshttps://cursor.com/blog/scaling-agents[01:05:15] fast.ai Blog: NB Dev Merged Driverhttps://www.fast.ai/posts/2022-08-25-jupyter-git.html[01:17:30] Jeremy Howard: Response to AI Risk Letterhttps://www.normaltech.ai/p/is-avoiding-extinction-from-ai-reallyBook:[00:08:30] M. Chirimuuta: The Brain Abstractedhttps://mitpress.mit.edu/9780262548045/the-brain-abstracted/[00:30:00] Daniel Dennett: Consciousness Explainedhttps://www.amazon.com/Consciousness-Explained-Daniel-C-Dennett/dp/0316180661[00:42:30] Cesar Hidalgo: Infinite Alphabet / Laws of Knowledgehttps://www.amazon.com/Infinite-Alphabet-Laws-Knowledge/dp/0241655676Archive Article:[00:13:45] MLST Archive: Why Creativity Cannot Be Interpolatedhttps://archive.mlst.ai/read/why-creativity-cannot-be-interpolatedResearch Study:[00:24:30] METR Study: AI OS Developmenthttps://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/Paper:[00:24:45] Fred Brooks: No Silver Bullethttps://www.cs.unc.edu/techreports/86-020.pdf[00:30:15] John Searle: Minds, Brains, and Programshttps://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/minds-brains-and-programs/DC644B47A4299C637C89772FACC2706A

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Viktor Gamov talks to Leonid Igolnik (Former CTO at Clari) about his career in B2B SaaS engineering leadership. Leonid's first job: teaching kids Pascal. His challenge: changing buyer behavior and scale complex systems.Books mentioned:► Influence without Authority: https://www.amazon.com/Influence-Without-Authority-Allan-Cohen/dp/0471463302► Drive: https://www.danpink.com/books/drive/► Blink: The Power of Thinking Without Thinking: https://www.amazon.com/Blink-Power-Thinking-Without/dp/0316172324SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo

When Dave Mabe backtested his strategy, it outperformed his own discretionary trading — and changed how he approached everything. In this episode, we discuss gapping breakouts, expectancy, systematic trading, drawdowns, and the reality gap between backtests and live execution. A practical conversation for traders serious about building durable edge. In this episode, we explore: ·        How Dave got introduced to markets: From early exposure to investing through his family to actively seeking more control over his capital and moving from swing trading into day trading. ·        Why rules matter: The transition from discretionary decisions to systematic frameworks — and why trading without a process is a fast path to inconsistency. ·        Backtesting as a “superpower”: What backtesting really does for strategy development and confidence in your edge. ·        Reconciling backtests with real life: Practical realities of execution, slippage, and market structure — and how to build a feedback loop so your live results get closer to your imulations. ·        Drawdowns and mindset: How to handle periods where a strategy doesn't behave as expected, and why many traders quit in drawdowns rather than at all-time highs. ·        Scaling a trading business: The difference between scaling size versus scaling breadth — and why uncorrelated strategies matter. ·        Practical first step for systematic traders: How to start adding structure to your trading with backtesting, even if you're not a programmer.   About the guest:   Dave has been a professional trader and technologist for over two decades. As a former CTO of Trade-Ideas, he has unique experience at the intersection of algorithm design, real-time market data, and automated execution. Outside trading, he writes a popular daily newsletter on backtesting and systematic strategy development, and hosts the Line Your Own Pockets podcast focused on systematic approaches to markets. Links + Resources: · Link to Better Backtesting —Dave's free multi-day email course on building strategies and improving them over time. · Trade-Ideas, Amibroker, RealTest — examples of backtesting and strategy development platforms discussed in context.   Sponsor of Chat With Traders Podcast:  Trade The Pool:  http://www.tradethepool.com Time Stamps: Please note: Exact times will vary depending on current ads. 00:00 Intro and Background 08:29 Stock Selection and Systematic Trading Rules 11:32   Position Sizing, Expectancy and Risk Management 16:50   Discovering Backtesting and First Backtests 18:40   Backtesting Principles, Sample Size and Common Pitfalls 20:34   Gradual Automation and Live Trading Implementation 22:17   Trading Journal and Reconciling Backtest vs Live 27:27   Scaling through Automation: More Trades, Better Results 29:26   Drawdowns, Psychology and Handling Setbacks 34:14   Tools, AI and Software for Backtesting and Coding 39:56   Common Trading Myths Debunked (Partials, Stops) 48:01   Getting Started: Practical Steps, Resources and Closing   Trading Disclaimer:   Trading in the financial markets involves a risk of loss. Podcast episodes and other content produced by Chat With Traders are for informational or educational purposes only and do not constitute trading or investment recommendations or advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Explore how AI could reshape crypto and finance, redefining traditional systems and introducing new threats. As AI-powered agents promise efficiency, Haseeb, Tom, Tarun, and guest Illia Polosukhin critique Citrini's controversial predictions on a global financial crisis and consider whether AI might just save or further complicate crypto's role in the economy. Welcome to The Chopping Block — where crypto insiders Haseeb Qureshi, Tom Schmidt, Tarun Chitra, and Robert Leshner chop it up about the latest in crypto. Joining us is Illia Polosukhin, co-founder of NEAR Protocol and contributing author to the original transformers paper that's revolutionized AI. Buckle up as we delve into AI's burgeoning role in the crypto world, dissect the sensational claims from Citrini's article predicting an AI-triggered financial crisis, and explore the potential of agentic coding in reshaping traditional systems. Let's get into it! Listen to the episode on Apple Podcasts, Spotify, Pods, Fountain, Podcast Addict, Pocket Casts, Amazon Music, or on your favorite podcast platform. Hosts ⭐️Haseeb Qureshi, Managing Partner at Dragonfly ⭐️Tarun Chitra, Managing Partner at Robot Ventures ⭐️Tom Schmidt, General Partner at Dragonfly  Guest⭐️ Illia Polosukhin, Co-founder of NEAR Protocol Disclosures THE 2028 GLOBAL INTELLIGENCE CRISIS by Citrini and Alap Shah https://www.citriniresearch.com/p/2028gic Timestamps 00:00 Intro 01:06 AI Agents Meet Crypto 08:06 Dark Forest Threat Model 15:31 How Close Are We 18:41 AI Coding Risks in Crypto 27:27 Citrini 2028 Crisis Explained 35:01 Demand Shock Missing Money 37:55 Automation Limits and Human Value 44:13 AI Zero Days and Botnets 51:40 Escrow Courts and Enforcement 56:05 Illia on Vibe Coding Future Learn more about your ad choices. Visit megaphone.fm/adchoices