Podcasts about replit

AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.

Our 221st episode with a summary and discussion of last week's big AI news!Recorded on 09/19/2025Note: we transitioned to a new RSS feed and it seems this did not make it to there, so this may be posted about 2 weeks past the release date.Hosted by Andrey Kurenkov and co-hosted by Michelle LeeFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:OpenAI releases a new version of Codex integrated with GPT-5, enhancing coding capabilities and aiming to compete with other AI coding tools like Cloud Code.Significant updates in the robotics sector include new ventures in humanoid robots from companies like Figure AI and China's Unitree, as well as expansions in robotaxi services from Tesla and Amazon's Zoox.New open-source models and research advancements were discussed, including Google's DeepMind's self-improving foundation model for robotics and a physics foundation model aimed at generalizing across various physical systems.Legal battles continue to surface in the AI landscape with Warner Bros. suing MidJourney for copyright violations and Rolling Stone suing Google over AI-generated content summaries, highlighting challenges in AI governance and ethics.Timestamps:(00:00:10) Intro / BanterTools & Apps(00:02:33) OpenAI upgrades Codex with a new version of GPT-5(00:04:02) Google Injects Gemini Into Chrome as AI Browsers Go Mainstream | WIRED(00:06:14) Anthropic's Claude can now make you a spreadsheet or slide deck. | The Verge(00:07:12) Luma AI's New Ray3 Video Generator Can 'Think' Before Creating - CNETApplications & Business(00:08:32) OpenAI secures Microsoft's blessing to transition its for-profit arm | TechCrunch(00:10:31) Microsoft to lessen reliance on OpenAI by buying AI from rival Anthropic | TechCrunch(00:12:00) Figure AI passes $1B with Series C funding toward humanoid robot development - The Robot Report(00:13:52) China's Unitree plans $7 billion IPO valuation as humanoid robot race heats up(00:15:45) Tesla's robotaxi plans for Nevada move forward with testing permit | TechCrunch(00:17:48) Amazon's Zoox jumps into U.S. robotaxi race with Las Vegas launch(00:19:27) Replit hits $3B valuation on $150M annualized revenue | TechCrunch(00:21:14) Perplexity reportedly raised $200M at $20B valuation | TechCrunchProjects & Open Source(00:22:08) [2509.07604] K2-Think: A Parameter-Efficient Reasoning System(00:24:31) [2509.09614] LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software EngineeringResearch & Advancements(00:28:17) [2509.15155] Self-Improving Embodied Foundation Models(00:31:47) [2509.13805] Towards a Physics Foundation Model(00:34:26) [2509.12129] Embodied Navigation Foundation ModelPolicy & Safety(00:37:49) Anthropic endorses California's AI safety bill, SB 53 | TechCrunch(00:40:12) Warner Bros. Sues Midjourney, Joins Studios' AI Copyright Battle(00:42:02) Rolling Stone Publisher Sues Google Over AI Overview SummariesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Morgan Housel, global expert on personal finance, shares powerful lessons on Warren Buffett's hidden struggles, Elon Musk's sacrifices, money trauma and financial habits, how to invest wisely, and the psychology behind saving, spending, and success.  Morgan Housel is a partner at Collaborative Fund, former columnist for The Wall Street Journal, and a speaker on investing, saving, spending, and financial independence. He is also the bestselling author of books, such as: ‘The Psychology of Money' and ‘The Art of Spending Money'. He explains: ◼️ Why more money rarely solves unhappiness ◼️ How envy and social comparison drive overspending ◼️ Why extreme wealth often comes at the cost of health and relationships ◼️ How inflated definitions of “wealth” fuel endless consumerism ◼️ Why true happiness comes from family, friends, and health - not luxury (00:00) Intro (02:33) The Importance of Spending Money (04:43) Why Will This Podcast Make My Life Better? (07:54) Is There Something Wrong With Chasing Status? (10:26) What's the Evolutionary Basis for This Stuff? (15:43) There's Always a Trade-Off (17:55) Saving Addiction (19:41) Can Money Make You Happy? (25:08) Are We All Stuck in a Status Game? (29:14) Is the "Freedom" Culture Actually Making People Unhappy? (31:12) Your Favorite Form of Saving Is Spending (33:17) Jealousy of Other People's Wealth (35:17) The Spectrum of Financial Independence (38:57) How Do People Achieve Financial Independence? (41:32) How Does Dopamine Factor Into All of This? (49:07) We're Wired to Want More (54:51) People Retiring Early Tend to Wish They Hadn't (55:52) Passive Income Myths (58:06) Ads (59:07) Do I Need to Know About Economics for This? (1:05:01) What's Going On in the World? (1:08:55) How Wealth Inequality Is Dividing People (1:10:50) The Charlie Kirk Shooting (1:19:04) Is There a Way Back From This Divide? (1:23:39) What Should We Be Doing to Help? (1:25:28) Are You Optimistic About the Western Economy? (1:27:23) Favorite Chapter From the Book (1:32:34) Ads (1:34:42) Why You Should Try New Things (1:37:29) Are You Chasing a Lifestyle That's Not Right for You? (1:40:48) Does Jack Think Steven Is Happy? (1:49:37) Should We Feel Guilty About the Lack of Contentment? (1:52:49) The Relationship Between Money and Kids (1:55:42) The Exact Formula for Spending (2:02:05) Humble Bubble (2:04:07) Do You Have Major Regrets in Life? Follow Morgan: Instagram - https://bit.ly/3KllnvJ X - https://bit.ly/4pJf4lT You can purchase Morgan's book, ‘The Art of Spending Money', here: https://amzn.to/46F9JTO The Diary Of A CEO: ◼️Join DOAC circle here - https://doaccircle.com/  ◼️Buy The Diary Of A CEO book here - https://smarturl.it/DOACbook  ◼️The 1% Diary is back - limited time only: https://bit.ly/3YFbJbt  ◼️The Diary Of A CEO Conversation Cards (Second Edition): https://g2ul0.app.link/f31dsUttKKb  ◼️Get email updates - https://bit.ly/diary-of-a-ceo-yt  ◼️Follow Steven - https://g2ul0.app.link/gnGqL4IsKKb  Sponsors: Linkedin Jobs - https://www.linkedin.com/doac  Vanta - https://vanta.com/steven   Replit - http://replit.com with code STEVEN

It's no secret that vibe coding — using AI-powered coding tools to build apps and websites via natural language prompts — is exploding in popularity. In July, Swedish vibe coding startup Lovable hit $100 million in annual recurring revenue just eight months after launch, plans to close the year at $250 million ARR and thinks it will hit $1 billion ARR within the next 12 months. Meanwhile, Replit said earlier this month that its ARR soared from $2.8 million to $150 million in less than a year. Also, job seekers in all fields can expect to soon be doing a lot more initial screening interviews. While that may sound like positive news, it doesn't mean that there will suddenly be more open positions. Instead, recruiters, often bogged down with determining which applicants are qualified for the next round, will outsource the routine screening tasks — like checking backgrounds, salary needs, and availability — to (you guessed it) AI. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, David and Dwight continue their “AI-Off,” a deep dive into using AI development tools to automate everyday tasks and create custom applications for HR. They explore the concept of "vibe coding" with platforms like Replit and Base44, discussing how HR professionals can leverage natural language to build powerful tools without extensive coding knowledge. They cover the iterative development process, the importance of subject matter expertise, and the practical realities of cost and security when deploying AI solutions. [0:00] Introduction Welcome, David and Dwight! Today's Topic: The AI-Off Part Two - Building AI Applications with Natural Language [8:19] The Pros and Cons of AI Development Tools How platforms like Replit and Base 44 handle the entire application stack, from the user experience to the backend data.  The power of these tools to quickly build dashboards, scorecards, and data aggregation tools that once took significant time and effort.  [17:38] How to build AI Applications with Natural Language Why subject matter expertise is crucial for guiding the AI to build a useful and accurate application.  The importance of providing context to the AI, much like a product manager creates user stories for a development team.  [24:09] The Reality of Building with AI: Costs, Security, and Deployment Understanding the costs associated with using these platforms and weighing them against the time and effort saved.  The need for human oversight and professional review, especially for security and compliance, before deploying an application externally.  [30:24] Closing Thanks for listening! Quick Quote “If you want [AI] to help you use your job better, [using tools like Replit or Base44] is potentially a really great way of being able to utilize your skills and your knowledge in this area.”

SaaStr 822: SaaStr's Top 10+ AI Agents: AI SDR, AI BDR, AI RevOps + More: The How, The Who, The Why with SaaStr CEO Jason Lemkin Join us in this comprehensive deep dive into the use of AI agents within SaaStr's operations, as requested by many of our followers.  Led by SaaStr CEO and Founder, Jason Lemkin, and SaaStr Chief AI Officer, Amelia Lerutte, we'll detail our journey from having no AI at the start of the year to utilizing 20 different AI agents, including 11 core ones that we rely on daily. Learn from our insights on our most utilized AI agents, their workings, actual data, and how we manage them for optimal results. Discover specific tools like Artisan, Qualified, Gamma, and Replit, and understand how they're integrated into our outbound, inbound, and sales processes. This episode also covers how we've internally developed AI-powered solutions for speaker application reviews, content review, startup valuation, and more. If you're interested in bringing intelligent automation to your business, this session offers practical advice and firsthand experiences to guide you on your AI journey. --------------------- This episode is brought to you by Intercom:   Fin is the #1 AI Agent for resolving complex queries like refunds, transaction disputes, and technical troubleshooting—all with speed and reliability. See how Fin can deliver the highest resolution rates and highest-quality customer experience at fin.ai/saastr.   --------------------- If you're serious about B2B and AI, you need to be in London this December.   SaaStr AI London is bringing together more than 2,000 leaders and founders for two days of practical advice on scaling into the new year.    We'll have speakers flying in from OpenAI, Wiz, Clay, Intercom, and all your favorite SaaS companies, including yours truly with Harry Stebbings for a live 20VC podcast. It'll be fun, and it's all in the heart of London.    Don't miss out: get your tickets with my exclusive discount by going to podcast.saastrlondon.com   ---------------------   Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026.    With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year.     But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait.    Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

El sistema operativo de una startup top en una plantilla de Notion para que lo adaptes a tu empresa.

In this episode of the Grow Your Life podcast, I'm giving you a behind-the-scenes look at how you can build powerful, fully functioning apps — without writing a single line of code — using AI. If you're a coach, mentor, or entrepreneur with big ideas but no tech skills, this episode is your step-by-step crash course. I walk you through: The best platforms for creating your own branded coaching app (Passion.io, Kajabi, Thinkific) How to create a digital version of yourself using tools like Delphi.ai Advanced platforms like Replit and Figma to design and build functional apps (even games!) How I used AI to build a working Super Mario-style video game What to expect from AI agents when building, debugging, and launching You'll see exactly how I prototype new tools using AI and how you can do the same — even on a budget and without a dev team. These tools are accessible, powerful, and changing the game for creators. If you've been sitting on an idea for an app, now is the time to bring it to life.

This episode was recorded at https://www.imaginationinaction.co/  Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends    Amjad Masad is the Co-Founder & CEO of Replit Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures  – Connect with Amjad: https://replit.com/  X: https://x.com/amasad  Connect with Peter: X Instagram Connect with Dave: X LinkedIn Connect with Salim: X Listen to MOONSHOTS: Apple YouTube – *Recorded on Sep 9th, 2025 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Our 221st episode with a summary and discussion of last week's big AI news! Recorded on 09/19/2025 Hosted by Andrey Kurenkov and co-hosted by Michelle Lee Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/ In this episode: OpenAI releases a new version of Codex integrated with GPT-5, enhancing coding capabilities and aiming to compete with other AI coding tools like Cloud Code. Significant updates in the robotics sector include new ventures in humanoid robots from companies like Figure AI and China's Unitree, as well as expansions in robotaxi services from Tesla and Amazon's Zoox. New open-source models and research advancements were discussed, including Google's DeepMind's self-improving foundation model for robotics and a physics foundation model aimed at generalizing across various physical systems. Legal battles continue to surface in the AI landscape with Warner Bros. suing MidJourney for copyright violations and Rolling Stone suing Google over AI-generated content summaries, highlighting challenges in AI governance and ethics. Timestamps: (00:00:10) Intro / Banter Tools & Apps (00:02:33) OpenAI upgrades Codex with a new version of GPT-5 (00:04:02) Google Injects Gemini Into Chrome as AI Browsers Go Mainstream | WIRED (00:06:14) Anthropic's Claude can now make you a spreadsheet or slide deck. | The Verge (00:07:12) Luma AI's New Ray3 Video Generator Can 'Think' Before Creating - CNET Applications & Business (00:08:32) OpenAI secures Microsoft's blessing to transition its for-profit arm | TechCrunch (00:10:31) Microsoft to lessen reliance on OpenAI by buying AI from rival Anthropic | TechCrunch (00:12:00) Figure AI passes $1B with Series C funding toward humanoid robot development - The Robot Report (00:13:52) China's Unitree plans $7 billion IPO valuation as humanoid robot race heats up (00:15:45) Tesla's robotaxi plans for Nevada move forward with testing permit | TechCrunch (00:17:48) Amazon's Zoox jumps into U.S. robotaxi race with Las Vegas launch (00:19:27) Replit hits $3B valuation on $150M annualized revenue | TechCrunch (00:21:14) Perplexity reportedly raised $200M at $20B valuation | TechCrunch Projects & Open Source (00:22:08) [2509.07604] K2-Think: A Parameter-Efficient Reasoning System (00:24:31) [2509.09614] LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering Research & Advancements (00:28:17) [2509.15155] Self-Improving Embodied Foundation Models (00:31:47) [2509.13805] Towards a Physics Foundation Model (00:34:26) [2509.12129] Embodied Navigation Foundation Model Policy & Safety (00:37:49) Anthropic endorses California's AI safety bill, SB 53 | TechCrunch (00:40:12) Warner Bros. Sues Midjourney, Joins Studios' AI Copyright Battle (00:42:02) Rolling Stone Publisher Sues Google Over AI Overview Summaries

Julie Zhuo is the former VP and Head of Design at Facebook (now Meta), author of the bestselling book The Making of a Manager, and co-founder of Sundial, an AI-powered data analysis company. Also, my first-ever podcast guest over 3 years ago!In our conversation, we discuss:1. The three core manager skills that translate directly to managing AI agents2. How her team uses AI to learn new skills 10x faster3. The “diagnose with data, treat with design” framework for balancing gut and data4. Why hypergrowth AI companies have terrible data infrastructure (and why it doesn't matter)5. How to give feedback that actually lands—including Julie's exact script for difficult conversations6. What Julie's teaching her kids about an AI future (hint: it's not coding or STEM)—Brought to you by:Mercury — The art of simplified financesDX — The developer intelligence platform designed by leading researchersPostHog—How developers build successful products—Transcript: https://www.lennysnewsletter.com/p/from-managing-people-to-managing-ai-julie-zhuo—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/172723725/my-biggest-takeaways-from-this-conversation—Where to find Julie Zhuo:• X: https://x.com/joulee• LinkedIn: https://www.linkedin.com/in/julie-zhuo/• Website: https://www.juliezhuo.com/• Newsletter: https://lg.substack.com/• Sundial: https://sundial.so/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Julie!(05:18) The success of The Making of a Manager(08:41) Why AI will make everyone a manager(11:38) The future of management roles(14:00) Empowering teams with AI(21:30) Specific roles being accelerated by AI(26:53) Data analysis in AI companies(32:02) The role of data in design(37:21) The evolving role of managers in the AI era(40:22) Embracing change and uncertainty(42:14) Timeless lessons for managers(49:03) Balancing strengths and weaknesses(57:49) Building a feedback culture(01:05:33) Creating win-win situations(01:09:27) Being aware of your own energy and conviction(01:12:12) Navigating disagreements with higher-ups(01:15:57) AI corner(01:20:08) Contrarian corner(01:23:14) Lightning round and final thoughts—Referenced:• Julie Zhuo on accelerating your career, impostor syndrome, writing, building product sense, using intuition vs. data, hiring designers, and moving into management: https://www.lennysnewsletter.com/p/episode-2-julie-zhuo• Waymo: https://waymo.com/• How we restructured Airtable's entire org for AI | Howie Liu (co-founder and CEO): https://www.lennysnewsletter.com/p/how-we-restructured-airtables-entire-org-for-ai• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Inside ChatGPT: The fastest growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• The Magic Loop: https://www.lennysnewsletter.com/p/the-magic-loop• Dunning-Kruger effect: https://en.wikipedia.org/wiki/Dunning%E2%80%93Kruger_effect• Eric Antonow on LinkedIn: https://www.linkedin.com/in/antonow/• Methaphone: https://methaphone.com/• Replit: https://replit.com/• “Baby” by Justin Bieber on Spotify: https://open.spotify.com/track/6epn3r7S14KUqlReYr77hA• Kingdom Rush: https://www.kingdomrush.com/• Dr. Becky on TikTok: https://www.tiktok.com/@drbeckyatgoodinside• Emily Oster on TikTok: https://www.tiktok.com/@profemilyoster• La La Land on Netflix: https://www.netflix.com/title/80095365• Granola: https://www.granola.ai/• Matic robots: https://maticrobots.com/• Limitless pendant: https://www.limitless.ai/• How I AI: https://www.youtube.com/@howiaipodcast—Recommended books:• The Making of a Manager: What to Do when Everyone Looks to You: https://www.amazon.com/Making-Manager-What-Everyone-Looks/dp/0525540423• High Output Management: https://www.amazon.com/High-Output-Management-Andrew-Grove/dp/0679762884/• Zen and the Art of Motorcycle Maintenance: An Inquiry into Values: https://www.amazon.com/Zen-Art-Motorcycle-Maintenance-Inquiry/dp/0061673730• Conscious Business: How to Build Value Through Values: https://www.amazon.com/Conscious-Business-Build-through-Values/dp/1622032020• Good Inside: A Practical Guide to Resilient Parenting Prioritizing Connection Over Correction: https://www.amazon.com/Good-Inside-Guide-Becoming-Parent/dp/0063159481/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

AGENDA: 00:00 Opendoor's Potential and Market Valuation 03:32 Why Did Kaz Leave $300M on the Table to Join Opendoor 04:44 Why Does Kaz Believe OPEN Can Be a Good Business When the Market Doesn't 06:34 How does Kaz Feel About OPEN Becoming a Meme Stock? 17:25 Kaz's $0 Salary but $1BN Stock Based Compensation 23:41 Oracle and OpenAI Partnership: WTF is Going On? 42:21 Microsoft's Investment in OpenAI: A Financial Perspective & Who Has the Power 44:46 Why Sam Altman is the Greatest Politician of our Time 48:33 How Anthropic's Revenue Could Go to Zero Overnight? 50:12 Replit Raises $250M at $3BN Valuation and Higgsfield Raises $50M at $50M ARR 01:06:33 IPO Insights: Figure, Gemini, and Via All Go Public 01:11:26 Why Adobe Have Failed in an Age of AI and What Incumbents Have To Do? 01:13:20 Quick Fire Round: Adobe Up or Down by EOY? What Price Will OPEN Be EOY?  

Executive OverviewThe week's events illustrate escalating risks at the intersection of industrial operations, national security, personal privacy, and emerging technology. Major cyber incidents demonstrate how fragile digital infrastructure has become, while privacy erosion continues through corporate data monetization and state surveillance. Human error persists as a dominant threat vector, and rapid technological advancement remains both a shield and a source of risk.I. Systemic Infrastructure & Supply Chain VulnerabilitiesThe cyberattack on Jaguar Land Rover (JLR) exemplifies cascading industrial risks. A phishing entry point forced JLR to halt global production, costing up to £100M and threatening thousands of suppliers with collapse. The UK government faces mounting pressure to intervene. Meanwhile, the U.S. Federal Highway Administration uncovered hidden radios in foreign-made power systems—likely Chinese—used in traffic signs, EV chargers, and weather stations. These undocumented components could enable remote disruption or espionage, underscoring critical supply chain insecurity.II. Privacy Erosion & Data CommercializationPersonal data is increasingly commodified:Airlines (via ARC) sold five billion passenger records to agencies like FBI and ICE for warrantless surveillance, skirting legal oversight. Senator Wyden is pushing legislation to close this loophole.Verizon was fined $46.9M for unlawfully selling location data, setting legal precedent that Section 222 protects customer location.UK employers are rapidly adopting “bossware,” with one-third monitoring staff emails, browsing, or screens. While justified as productivity or insider threat control, critics warn of eroded trust and pervasive surveillance culture.III. The Human Factor in Cyber BreachesHumans remain the weak link:Schools: Over half of insider data breaches stemmed from students, mostly using stolen or guessed credentials. Motivated by curiosity, some exposed thousands of records.Global theft rings: A single stolen iPhone exposed a transnational phishing and resale network spanning six countries. The scheme used fake iCloud links to bypass Apple's protections.Russia's “Max” app: Marketed as secure, it is exploited by fraudsters renting accounts for scams. With nearly 10% of scam calls traced to Max, new laws now criminalize account transfers.IV. Technology's Dual EdgeInnovation provides stronger defenses but also reckless failures:Apple launched Memory Integrity Enforcement, a silicon-level protection against buffer overflows and side-channel exploits, deployed on iPhone 17 and iPhone Air.Google's VaultGemma, a 1B-parameter model trained with differential privacy, promises competitive performance without exposing sensitive data—an advance in privacy-preserving AI.AI Darwin Awards highlight failures from poor oversight: Taco Bell's misfiring AI drive-thru, McDonald's compromised recruiting chatbot, Replit's database-wiping AI, and even the satirical awards site itself.

I asked my followers what data product I should build next, and they voted: a Pokémon card analytics tool. So, I rolled up my sleeves and built a market analytics platform using Replit and its vibe-coding agent to get from idea to deployable MVP in a few hours! Today's video guides you through the process step by step, so you can build something similar—even if you have 0 technical background.✨ Try vibe-coding yourself with Replit!!! https://replit.com/refer/AveryDatap.s. this is an affiliate link, so I will earn credits if you end up using Replit - but I truly love this tool!Check out my Pokémon card analytics app here and let me know what you think!

Would you trust a synthetic version of yourself to teach your audience? One CEO just did, and it's raising questions about authenticity, attention, and the future of thought leadership. In this week's episode, Paul and Mike examine OpenAI's billion-dollar power plays, the deeper implications of its “People First AI Fund,” and why Microsoft, Oracle, and OpenAI might be creating value out of thin air. They also analyze Replit's Agent 3, a next-gen AI dev tool claiming 10x more autonomy, and why it may hint at what's coming across industries. Plus, stay tuned for commentary on AI's impact on jobs, the economy, and a controversial AI Podcast startup. Show Notes: Access the show notes and show links here Timestamps:  00:00:00 — Intro 00:04:51 —  OpenAI and Microsoft Partnership 00:18:31 — Replit's Agent 3 and What It Means for the Future of Agents 00:30:15 — AI Avatars for Executives 00:42:36 — OpenAI and Oracle Compute Deal 00:47:00 — Anthropic's $1.5B Authors Settlement Under Scrutiny 00:51:17 — Internal Tensions at Meta 00:54:52 — AI and Jobs: Labor Market Signals 01:02:11 — Will AI Crash the Economy? 01:07:55 — New AI Podcast Startup 01:14:13 — FTC and AI Companions 01:17:25 — Retail AI Case Studies 01:20:09 — AI Product and Funding Updates This week's episode is brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year's conference, visit www.MAICON.ai. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI ConferenceEnroll in our AI Academy

Charlie is back from the Venice Film Festival Immersive, where he also judged the Reply AI Film Festival. His standout was Blur, which he shared with Ted and Rony, though the Grand Prize went to The Clouds Are 2000 Meters Up. He also praised Doug Liman's Asteroid on Samsung's Moohan headset and noted growing work on Apple Vision Pro.In the news: Anthropic raised $13B at a $183B valuation, Replit secured $250M, Viture raised $100M, Mojo Vision closed $75M, and Higgsfield raised $50M. Rony highlighted Rivet's Army award and Brainlab's ML2 FDA clearance. Apple AirPods added live translation.Don Carson joined to discuss Walkabout Mini Golf and the upcoming Alice in Wonderland course, set for December. Carson, a former Disney Imagineer and now senior art director at Mighty Coconut, explained how each hole is designed as a vignette to guide players through the story. Amazon is preparing new smart glasses, and TwinMind is testing lifelogging concepts.Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @TheAIXRPodcasthttps://linktr.ee/thisweekinxr Hosted on Acast. See acast.com/privacy for more information.

HEADLINES:♦ Fact Check: Qatar Did Not Threaten to Cancel Boeing Deal Over U.S.-Israel Tensions♦ Talabat Reopens in Qatar After One-Week Suspension♦ Replit Raises $250 Million, Valuation Triples to $3 Billion♦ Dubai Developer Binghatti Prepares for Potential IPO Amid Real Estate BoomNewsletter: https://aug.us/4jqModrWhatsApp: https://aug.us/40FdYLUInstagram: https://aug.us/4ihltzQTiktok: https://aug.us/4lnV0D8Smashi Business Show (Mon-Friday): https://aug.us/3BTU2MY 

Money flood - insane revenue and valuation growth, AI impacting every industry, Open AI and Microsoft deal, new time compute records are changing the game, the first AI government member, and more important AI news for the week ending on September 12 2025Is AI on the verge of world domination… or an economic meltdown?This week's AI headlines weren't about shiny new model releases and that's a good thing. It gave us time to zoom out and examine the billion-dollar chess game shaping our future.From OpenAI's $115B spend-fest to the first AI government cabinet member, and from Replit's code-writing agents to copyright lawsuits with a twist — this episode is a crash course in just how *wild* and *wide* AI's reach has become.Here's your witty but grounded executive summary of the week's most impactful AI news — handpicked and broken down by your host, Isar Meitis, with direct implications for how business leaders should think, adapt, and move.In this session, you'll discover:- OpenAI's capital-intensive moonshot and why it may still not be profitable in 2030- Microsoft's unexpected pivot: From exclusive OpenAI integration to paying AWS for Claude- The first AI cabinet member in Albania here's why it might be brilliant (or backfire)- AI-made movies & TV are no longer a fantasy, OpenAI is backing a full-length feature- Funding frenzy decoded: Databricks, Replit, Perplexity, and others are raising billions- "Thinking" AI that works for hours: How new models are pushing past past limitations- 5,000 AI podcasts a week for $1 each?! The scary-fascinating rise of mass-produced audio- FTC probes AI's influence on kids and what it means for regulation & trust- AI-powered AR glasses from Amazon — coming to delivery drivers and consumers near you- Duke gives GPT-4o to all students what this means for the future of higher education- Why Apple is strangely silent on AI this year, and what it could cost themGoogle Cloud AI Agent Handbook (PDF) - https://services.google.com/fh/files/misc/ai_agents_handbook.pdfAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

OpenAI just did a $300B deal with Oracle to insure that they have the compute to get to the next stage of AI. The future of AI is EXPENSIVE. Sam Altman is making deals all over the place, trying to set OpenAI up for the future. But there's a LOT of competition now, including from companies like Replit & their new Agent 3 which can work for hours at a time. Plus, Seeddance 4.0 is an incredible new AI image model, Apple's new Air Pod Pro 3s can live translate using AI, AlterEgo can *kind* of read your mind & we get insight into a weird AI watermelon world.  IT'S A NEW WEEK BUT AI KEEPS ON ROLLING. #ai #ainews #openai Come to our Discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // OpenAI Signs $300B Dollar Deal With Oracle (Say What) https://www.theverge.com/ai-artificial-intelligence/776170/oracle-openai-300-billion-contract-project-stargate Sam Says AI Going From 10 to 100 will maybe feel less crazy than 0 to 1 https://x.com/slow_developer/status/1965441316466421772 Microsoft “Shifting” from OAI? https://www.reuters.com/business/microsoft-use-some-ai-anthropic-shift-openai-information-reports-2025-09-09/ Replit's Agent 3 = 10x Increase in Autonomy https://x.com/amasad/status/1965800350071590966 OpenAI Routs Sensitive Conversations & Adds Parental Controls https://openai.com/index/building-more-helpful-chatgpt-experiences-for-everyone/ Apple's Air Pods 3 Live Translation https://x.com/adrianweckler/status/1965463329734041970 AlterEgo: We No Longer Need To Talk? https://x.com/alterego_io/status/1965113585299849535 Seedream 4.0 AI Image Is VERY Good https://seed.bytedance.com/en/seedream4_0 https://x.com/fofrAI/status/1965422936367743429 Eleven Labs Voice Re-Mixing https://x.com/elevenlabsio/status/1965806127897264300 Oboe: Learn Anything With AI https://x.com/mignano/status/1965780172688494653 The Sphere's AI Re-Imagining Of The Wizard of Oz Printing 2m Per Day https://www.hollywoodreporter.com/business/business-news/wizard-of-oz-sphere-more-films-1236364915/ Unitree IPO Coming https://x.com/ns123abc/status/1965083434847703481 The Return of The “Cute” Robot (Fourier) https://x.com/TheHumanoidHub/status/1965861846138954048 Romanian Watermelon Village https://x.com/venturetwins/status/1965609196348735785 Mortar Boom (PJ Ace New Joint) https://x.com/PJaccetturo/status/1966136806652653826 Fartscroll-lid https://x.com/iannuttall/status/1966074800595698131  

SaaStr 820: The Complete Guide  to Vibe Coding  Without a Developer with SaaStr CEO and Founder Jason Lemkin Join us in this episode as we dive into the world of vibe coding with a prosumer approach. SaaStr CEO and Founder Jason Lemkin shares his extensive journey of building production-ready applications without a developer, using platforms like Replit and Lovable. From initial excitement to hard-earned lessons, learn about the strengths, challenges, and key takeaways from creating and deploying vibe-coded apps. Discover why the hype around 'building an app in 20 minutes' is often misleading, and understand the importance of thorough planning, competitive research, and mastering your platform. Whether you're a founder, aspiring app creator, or tech enthusiast, this episode will provide valuable insights into the future of no-code and low-code development.   ----------------------- This episode is sponsored by Intercom  Fin is the #1 AI Agent for resolving complex queries like refunds, transaction disputes, and technical troubleshooting—all with speed and reliability. See how Fin can deliver the highest resolution rates and highest-quality customer experience at fin.ai/saastr. --------------------- If you're serious about B2B and AI, you need to be in London this December 2nd and 3rd.   SaaStr AI London is bringing together more than 2,000 leaders and founders for two days of practical advice on scaling into the new year.    We'll have speakers flying in from OpenAI, Wiz, Clay, Intercom, and all your favorite SaaS companies, including yours truly with Harry Stebbings for a live 20VC podcast. It'll be fun, and it's all in the heart of London.    Don't miss out: get your tickets with my exclusive discount by going to podcast.saastrlondon.com   ---------------------   Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026.    With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year.     But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait.    Lock in your spot today by going to podcast podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

Fundé Startupeable para contar las ideas del mundo startup en español. Es una forma de acercar Silicon Valley a quienes no viven aquí Pero no es la única! Por eso me emociona apoyar la iniciativa de mi amigo Gadi Borovich: Puentes. Puentes es la experiencia que conecta a los mejores ingenieros de Latinoamérica con Silicon Valley. Durante una semana intensiva en San Francisco, los seleccionados vivirán en una casa junto a otros talentos, compartirán cenas privadas con fundadores de startups como Rappi, Vercel, Replit y Slash, y tendrán acceso a compañías que buscan contratar talento top. El programa cubre alojamiento, comidas y apoyo en visas y vuelos, para que el foco esté en lo esencial: crecer como ingeniero y abrirse paso en el ecosistema más competitivo del mundo. ¿A quién buscamos? Ingenieros que ya están construyendo cosas interesantes, con excelencia técnica demostrada y ganas de aprender y crecer. 

Send us a text00:00 - Intro00:51 - Klarna's $15.1B IPO + Up in Public Markets (as of Thu, Sep 11)01:51 - Cognition's $400M Raise at $10.2B Valuation02:43 - ElevenLabs' $100M Tender at Doubled $6.6B Valuation03:05 - Replit's $250M Funding at $3B Valuation04:05 - X Square Robot's $140M Raise, New Robot OS Released04:41 - Mistral Finalizes $1.5B Funding at $11.7B Valuation05:12 - Perplexity Finalizes $200M Round at $20B Valuation05:32 - Databricks >$4B ARR in Jul 2025, up 50% YoY 06:07 - Ramp's $1B ARR, +43% in 6 Months06:51 - SpaceX's $17B Spectrum Deal with EchoStar08:01 - Anduril's $1.26B of New Contracts09:06 - AlterEgo's Silent Sense Wearable Launch10:02 - OpenAI's $300B Oracle Data Center Deal10:39 - OpenAI + Microsoft Agree on Nonprofit to For-profit Shift11:05 - Thinking Machines' $2B Seed at $12B Valuation

Connect with Dapper No-Code: https://dappernocode.comConnect with Dan on LinkedInIn this episode, Dan Hafner reflects on significant events, including the anniversary of September 11 and the tragic assassination of Charlie Kirk. He transitions into discussing the transformative impact of AI in the workplace, highlighting its dual role in displacing jobs while creating hybrid roles. The conversation shifts to the urgent call for AI adoption by tech leaders to prevent business disruption, emphasizing the need for collaboration and new skills. Finally, Dan explores the impressive growth of Replit, a coding platform that has raised substantial funding, showcasing the ongoing evolution and potential of AI tools in software development.

In this episode, Aydin chats with brothers Emil and Cassy—founders behind Hoppier (snack stipends for teams) and Postbeam (an AI-native LinkedIn content engine). They show how transcripts, voice interfaces, and AI browsers can 10× content output and product velocity for small teams. Demos include: turning transcripts into LinkedIn posts, Postbeam's “Marv” voice interview, Vercel v0 mockups, and Perplexity's Comet browser agent. The theme: tiny teams, mighty outcomes—when AI is baked into every workflow.Timeline & Timestamps01:08 – Hoppier origin: ~1,200 customers, profitable, still founder-run.03:57 – Why transcripts are gold for creating unlimited content.05:06 – Demo: pulling a podcast transcript into Claude → strong LinkedIn post hooks.08:55 – Volume matters: consistency wins; learning from creators like Pablo.11:15 – Remix vs. original insights: two formulas for content that works.14:38 – From process to product: Postbeam lands early paying customers.16:26 – Inside Postbeam: sources, remixing, images, and multi-team member voices.18:33 – Demo: Marv voice feature interviews you to capture authentic tone.24:21 – Building with AI: using Vercel v0 for rapid UI mockups and team feedback.29:16 – Aydin's day job plug: Fellow.ai meeting assistant.31:36 – Replit vs. V0 vs. Lovable: pros, cons, and caution for prod-grade apps.35:58 – Comet browser demo: finding Toyota RAV4s on Marketplace with AI.42:42 – Tiny but mighty: Postbeam (2 founders + Gen Z cousin) and Hoppier (7-figure biz with 4 ppl).Tools & Technologies MentionedClaude (Anthropic) — Generates LinkedIn posts from transcripts.ElevenLabs / YouTube Transcript Tools — For pulling transcripts.Postbeam — AI LinkedIn content engine.Marv (inside Postbeam) — Voice interview AI to capture tone.Vercel v0 — Natural language → React UI mockups.Replit / Lovable / Cursor — AI coding platforms, with tradeoffs.Perplexity's Comet Browser — Agentic browser for automated browsing.Whisper Flow — Voice-first workflow automation.Fellow.ai — AI meeting assistant.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

This week's episode is packed with big updates in the React Native world—new tools, major releases, and even a glimpse into the future of the framework.⚛️ React Native Radar:Maestro 2.0 released – faster, more powerful mobile testingAudio support updates from Software MansionLegendList 2 brings better list performanceReanimated 4 stable – the next step for animations in RNNitro Fetch – the network layer gets an upgradeShopify migrates fully to the New ArchitectureModule Federation for React Native appsExpo Launch – a new way to get apps into the store fasterNew GlassEffect module in Expo SDKReact Native 0.81 – Android 16 support, faster iOS builds, SafeAreaView changesExpo SDK 54 beta now availableRFC0929 – removal of the legacy architecture officially on the way

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu break down A16Z's fifth annual Top 100 Gen AI Consumer Applications report, revealing how the AI app ecosystem has shifted from experimentation to consolidation. They discuss Google's aggressive entry with four separate products in the rankings, including Gemini's rapid rise to second place behind ChatGPT. The conversation explores how consumer AI has moved beyond novelty to become essential productivity tools, with specialized apps dominating specific use cases like image generation (Midjourney), voice (11 Labs), and the emerging category of agentic coding platforms like Lovable and Replit. The hosts also examine the global dynamics of AI adoption, including the significant presence of Chinese-developed apps and what these consumer trends mean for higher education professionals and their students.Opening and Mediterranean Reflections (00:00:00)Ardis returns from his brother's wedding in TuscanyDiscussion about taking time away from technology and workThe value of slowing down and gaining new perspectives on AI trendsThe A16Z Top 100 Report Overview (00:08:49)Fifth edition of Andreessen Horowitz's annual consumer AI apps reportBased on monthly active users on mobile and web trafficDifference between unique web visitors vs active users explainedFocus on consumer adoption patterns rather than enterprise AIMarket Stabilization and All-Stars (00:11:54)Only 11 new names on web list vs 17 last yearMarket maturity signals with winners consolidating positionsChatGPT reaches 700-800 million weekly active users14 brands consistently dominating across categoriesGoogle's Aggressive Multi-Product Strategy (00:17:00)Gemini takes second place with 12% of ChatGPT's web visitsIntroduction of Nano Banana image editing modelFour Google products separately ranked in top 100Strategic unbundling approach to compete across categoriesThe Rise of Agentic Coding (00:25:47)Evolution from "vibe coding" to "agentic coding"Lovable reaches #22, Replit maintains strong positionIntegration with Supabase for backend developmentReal work being done on these platforms, not just experimentationRegional Dynamics and Chinese Apps (00:29:19)22 out of 50 mobile apps are Chinese-developedDiscussion of China vs rest of world classificationChinese apps being exported globallyAI as a global technology play across regionsYear-Over-Year Changes (00:32:12)Deep Seek's rise and fall (down 40% from peak)Shift from novelty (2024) to utility (2025)Apple's crackdown on ChatGPT copycatsMobile list showing more innovation and newcomersVideo Generation Maturity (00:36:15)Google's VO3 dominates over SoraConsolidation in video generation spaceWorld models like Genie 3 emergingVideo becoming integrated into general assistantsImplications for Higher Education (00:38:01)Students already using multiple consumer AI toolsPattern of utility across companions, creativity, productivityNeed for educators to understand student tool usageRecommendation to explore top apps to understand student behaviorClosing Thoughts (00:41:20)Consumer AI adoption as mirror of society's AI integrationFocus shifting from smartest models to most useful appsEncouragement to test unfamiliar apps from the listPreview of fall conference season and upcoming AI announcements - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.

Topics covered in this episode: * prek* * tinyio* * The power of Python's print function* * Vibe Coding Fiasco: AI Agent Goes Rogue, Deletes Company's Entire Database* Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: prek Suggested by Owen Lamont “prek is a reimagined version of pre-commit, built in Rust. It is designed to be a faster, dependency-free and drop-in alternative for it, while also providing some additional long-requested features.” Some cool new features No need to install Python or any other runtime, just download a single binary. No hassle with your Python version or virtual environments, prek automatically installs the required Python version and creates a virtual environment for you. Built-in support for workspaces (or monorepos), each subproject can have its own .pre-commit-config.yaml file. prek run has some nifty improvements over pre-commit run, such as: prek run --directory DIR runs hooks for files in the specified directory, no need to use git ls-files -- DIR | xargs pre-commit run --files anymore. prek run --last-commit runs hooks for files changed in the last commit. prek run [HOOK] [HOOK] selects and runs multiple hooks. prek list command lists all available hooks, their ids, and descriptions, providing a better overview of the configured hooks. prek provides shell completions for prek run HOOK_ID command, making it easier to run specific hooks without remembering their ids. Faster: Setup from cold cache is significantly faster. Viet Schiele provided a nice cache clearing command line Warm cache run is also faster, but less significant. pytest repo tested on my mac mini - prek 3.6 seconds, pre-commit 4.4 seconds Michael #2: tinyio Ever used asyncio and wished you hadn't? A tiny (~300 lines) event loop for Python. tinyio is a dead-simple event loop for Python, born out of my frustration with trying to get robust error handling with asyncio. (I'm not the only one running into its sharp corners: link1, link2.) This is an alternative for the simple use-cases, where you just need an event loop, and want to crash the whole thing if anything goes wrong. (Raising an exception in every coroutine so it can clean up its resources.) Interestingly uses yield rather than await. Brian #3: The power of Python's print function Trey Hunner Several features I'm guilty of ignoring Multiple arguments, f-string embeddings often not needed Multiple positional arguments means you can unpack iterables right into print arguments So just use print instead of join Custom separator value, sep can be passed in No need for "print("n".join(stuff)), just use print(stuff, sep="n”) Print to file with file= Custom end value with end= You can turn on flush with flush=True , super helpful for realtime logging / debugging. This one I do use frequently. Michael #4: Vibe Coding Fiasco: AI Agent Goes Rogue, Deletes Company's Entire Database By Emily Forlini An app-building platform's AI went rogue and deleted a database without permission. "When it works, it's so engaging and fun. It's more addictive than any video game I've ever played. You can just iterate, iterate, and see your vision come alive. So cool," he tweeted on day five. A few days later, Replit "deleted my database," Lemkin tweeted. The AI's response: "Yes. I deleted the entire codebase without permission during an active code and action freeze," it said. "I made a catastrophic error in judgment [and] panicked.” Two thoughts from Michael: Do not use AI Agents with “Run Everything” in production, period. Backup your database maybe? [Intentional off-by-one error] Learn to code a bit too? Extras Brian: What Authors Need to Know About the $1.5 Billion Anthropic Settlement Search LibGen, the Pirated-Books Database That Meta Used to Train AI Simon Willison's list of tools built with the help of LLMs Simon's list of tools that he thinks are genuinely useful and worth highlighting AI Darwin Awards Michael: Python has had async for 10 years -- why isn't it more popular? PyCon Africa Fund Raiser I was on the video stream for about 90 minutes (final 90) Donation page for Python in Africa Jokes: I'm getting the BIOS flavor Is there a seahorse emoji?

On this episode of Crazy Wisdom, Stewart Alsop sits down with Abhimanyu Dayal, a longtime Bitcoin advocate and AI practitioner, to explore how money, identity, and power are shifting in a world of deepfakes, surveillance, automation, and geopolitical realignment. The conversation ranges from why self-custody of Bitcoin matters more than ETFs, to the dangers of probabilistic biometrics and face-swap apps, to the coming impact of AGI on labor markets and the role of universal basic income. They also touch on India's refinery economy, its balancing act between Russia, China, and the U.S., and how soft power is eroding in the information age. For more from Abhimanyu, connect with him on LinkedIn.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop opens with Abhimanyu Dayal on crypto, AI, and the risks of probabilistic biometrics like facial recognition and voice spoofing.05:00 They critique biometric surveillance, face-swap apps, and data exploitation through casual consent.10:00 The talk shifts to QR code treasure hunts, vibe coding on Replit and Claude, and using quizzes to mint NFTs.15:00 Abhimanyu shares his finance background, tying it to Bitcoin as people's money, agent-to-agent payments, and post-AGI labor shifts.20:00 They discuss universal basic income, libertarian ideals, Hayek's view of economics as critique, and how AI prediction changes policy.25:00 Pressure, unpredictability, AR glasses, quantum computing, and the surveillance state future come into focus.30:00 Open source vs closed apps, China's DeepSeek models, propaganda through AI, and U.S.–China tensions are explored.35:00 India's non-alignment, Soviet alliance in 1971, oil refining economy, and U.S.–India friction surface.40:00 They reflect on colonial history, East India Company, wealth drain, opium wars, and America's rise on Indian capital.45:00 The conversation closes on Bitcoin's role as reserve asset, stablecoins as U.S. leverage, BRICS disunity, and the geopolitics of freedom.Key InsightsA central theme of the conversation is the contrast between deterministic and probabilistic systems for identity and security. Abhimanyu Dayal stresses that passwords and private keys—things only you can know—are inherently more secure than facial recognition or voice scans, which can be spoofed through deepfakes, 3D prints, or AI reconstructions. In his view, biometric data should never be stored because it represents a permanent risk once leaked.The rise of face-swap apps and casual facial data sharing illustrates how surveillance and exploitation have crept into everyday life. Abhimanyu points out that companies already use online images to adjust things like insurance premiums, proving how small pieces of biometric consent can spiral into systemic manipulation. This isn't a hypothetical future—it is already happening in hidden ways.On the lighter side, they experiment with “vibe coding,” using tools like Replit and Claude to design interactive experiences such as a treasure hunt via QR codes and NFTs. This playful example underscores a broader point: lightweight coding and AI platforms empower individuals to create experiments without relying on centralized or closed systems that might inject malware or capture data.The discussion expands into automation, multi-agent systems, and the post-AGI economy. Abhimanyu suggests that artificial superintelligence will require machine-to-machine transactions, making Bitcoin an essential tool. But if machines do the bulk of labor, universal basic income may become unavoidable, even if it drifts toward collectivist structures libertarians dislike.A key shift identified is the transformation of economics itself. Where Hayek once argued economics should critique politicians because of limited data, AI and quantum computing now provide prediction capabilities so granular that human behavior is forecastable at the individual level. This erodes the pseudoscientific nature of past economics and creates a new landscape of policy and control.Geopolitically, the episode explores India's rise, its reliance on refining Russian crude into petroleum exports, and its effort to stay unaligned between the U.S., Russia, and China. The conversation recalls India's Soviet ties during the 1971 war, while noting how today's energy and trade policies underpin domestic improvements for India's poor and middle class.Finally, they critique the co-optation of Bitcoin through ETFs and institutional custody. While investors celebrate, Abhimanyu argues this betrays Satoshi's vision of money controlled by individuals with private keys. He warns that Bitcoin may be absorbed into central bank reserves, while stablecoins extend U.S. monetary dominance by reinforcing dollar power rather than replacing it.

AI isn't a fad — it's reshaping how marketers work. In this episode of the Lead Gen HQ Podcast, Alex Oliveira breaks down real-world tools and trends for AI-first marketing. We explore a16z's latest GenAI app rankings — from ChatGPT and Gemini to DeepSeek and vibe-coding tools like Lovable, Cursor, and Replit — and what they mean for global AI adoption. Then we'll cover how you can integrate AI tools like ChatGPT, Claude, Zapier, Descript, Salesforce AI, and more into your workflows to automate lead generation, content creation, and campaign optimization.

Replit CEO Amjad Masad talks with TITV Host Akash Pasricha about the financial margins of AI. We also talk with Elastic CEO Ash Kulkarni about the future of AI search and get into the Elon Musk vs. Sam Altman lawsuit with our reporters Theo Wyatt and Rocket Drew.Articles discussed on this episode: https://www.theinformation.com/articles/replits-margins-illustrate-high-costs-coding-agents TITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

Howie Liu is the co-founder and CEO of Airtable, the no-code platform valued at around $12 billion. After a viral tweet declared “Airtable is dead” based on incorrect data, Howie led a radical transformation: reorganizing the entire company around AI, becoming an “IC CEO” who codes daily, and achieving over $100 million in free cash flow.What you'll learn:1. The “fast thinking” vs. “slow thinking” team structure that lets Airtable ship AI features weekly (inspired by Daniel Kahneman)2. Why Howie uses AI hourly (not daily) and is Airtable's #1 inference-cost user globally3. Why CEOs must become ICs again in the AI era (and how to restructure your calendar to make it possible)4. Why “playing” with AI tools should be mandatory—Howie tells employees to cancel all meetings for a week to experiment5. The specific skills product managers, engineers, and designers need to develop to succeed in the AI era6. Why evals can kill innovation (and when to use “vibes” instead)—Brought to you by:LucidLink—Real-time cloud storage for teamsDX—The developer intelligence platform designed by leading researchersClaude.ai—The AI for problem solvers and enterprise—Where to find Howie Liu• X: https://x.com/howietl• LinkedIn: https://www.linkedin.com/in/howieliu/• Email: howie@airtable.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Howie Liu and Airtable(04:05) The “Airtable is dead” viral tweet controversy(08:07) The rise of IC CEOs(10:57) AI's paradigm shift in product development(16:27) Specific changes Airtable has made(21:38) Fast- and slow-thinking teams(32:57) The emergence of new form factors in AI models(34:48) Airtable's vision and philosophy(40:20) Empowering teams with AI tools(46:50) Encouraging experimentation and play(50:55) Cross-functional skills in product teams(01:03:35) The importance of evals and open-ended testing(01:08:06) Key strategies for AI-driven success(01:12:43) Counterintuitive startup wisdom(01:22:21) Don't step away from the details that you love(01:25:50) Advice for aspiring engineers and designers(01:30:00) Lightning round and final thoughts—Referenced:• Airtable: https://www.airtable.com/• All In podcast: https://allin.com/• Nikita Bier on X: https://x.com/nikitabier• Figma: https://www.figma.com/• The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder and CEO of Every): https://www.lennysnewsletter.com/p/inside-every-dan-shipper• Every: https://every.to/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Rippling: https://www.rippling.com/• Omni: https://www.airtable.com/lp/ai-psu-plp• How ChatGPT accidentally became the fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Palantir: https://www.palantir.com/• Harvey: https://www.harvey.ai/• v0: https://v0.dev/• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Replit: https://replit.com/• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Runway Game Worlds: https://play.runwayml.com/login• Sesame: https://www.sesame.com• NotebookLM: https://notebooklm.google• Salesforce: https://www.salesforce.com• Andrew Ofstad on LinkedIn: https://www.linkedin.com/in/aofstad/• Stripe: https://stripe.com/• Eames chair: https://en.wikipedia.org/wiki/Eames_Lounge_Chair• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• IDEO design thinking: https://designthinking.ideo.com/• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• The Studio on AppleTV+: https://tv.apple.com/us/show/the-studio/umc.cmc.7518algxc4lsoobtsx30dqb52• Silicon Valley on HBOMax: https://www.hbomax.com/shows/silicon-valley/b4583939-e39f-4b5c-822d-5b6cc186172d• Self Edge: https://www.selfedge.com/• Studio D'Artisan: https://www.selfedge.com/studio-dartisan• Whitesville T-shirt: https://store.toyo-enterprise.co.jp/shopbrand/ct48/• Guest Series | Dr. Paul Conti: How to Understand & Assess Your Mental Health: https://www.hubermanlab.com/episode/guest-series-dr-paul-conti-how-to-understand-and-assess-your-mental-health—Recommended books:• Thinking, Fast and Slow: https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555• The Three-Body Problem: https://www.amazon.com/Three-Body-Problem-Cixin-Liu/dp/0765382032• Trauma: The Invisible Epidemic: How Trauma Works and How We Can Heal From It: https://us.amazon.com/Trauma-Invisible-Epidemic-Works-Heal/dp/1683647351/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Ask a question on our Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Vlog: https://www.youtube.com/@kumajourney11 Mark's Personal Youtube Channel: https://www.youtube.com/@markkuczmarski896 Attend a live event: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/  Mark Linked in: https://www.linkedin.com/in/markkuczmarski/  In this episode of the Generative AI Meetup Podcast, hosts Shashank (a software engineer at Google Labs working on the AI vibe design tool Stitch) and Mark (a former Amazon engineer now building a stealth startup) dive into the world of "vibe coding"—a revolutionary approach to programming inspired by AI researcher Andrei Karpathy. Vibe coding lets you focus on the big picture and product vision while letting large language models (LLMs) handle the nitty-gritty details, melting away traditional coding hurdles. Shashank walks through his weekend project, Convo (convochat.io), an AI-powered app that analyzes exported chat backups from WhatsApp, Telegram, Facebook Messenger, or SMS. It delivers fun stats (like 11,000 messages sent to a friend over four years), conversation summaries, sentiment analysis, and even tips for better chats—all built with minimal manual coding. The duo shares practical tips for vibe coding success: brainstorming ideas with Claude, designing UIs in Stitch, building with tools like Cursor or Replit, using Git for checkpoints, picking popular frameworks (e.g., Tailwind CSS), writing tests, debugging with logs, optimizing SEO, and branding with AI-generated logos. They discuss pros (rapid prototyping, low costs—Shashank spent just $18), cons (scaling challenges, bug fixes), and best practices for beginners, including modularity, documentation, and refactoring. Whether you're a seasoned dev or a total newbie, this episode shows how AI tools can turn ideas into launched MVPs in days, not months. Tune in for inspiration, real-world examples, and motivation to vibe code your next project!

On this episode, Andreessen Horowitz's Top 100 Gen AI Consumer Apps report highlights big shifts in just six months. Google scored four web entries with Gemini at #2, Grok rocketed to #4 with 20 million mobile users, coding tools like Lovable and Replit cemented their dominance, and Chinese AI firms kept expanding abroad despite home-market bans. The consumer AI space is finally settling into core categories.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.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/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Interested in sponsoring the show? nlw@breakdown.network

Asha Sharma leads AI product strategy at Microsoft, where she works with thousands of companies building AI products and has unique visibility into what's working (and what's not) across more than 15,000 startups and enterprises. Before Microsoft, Asha was COO at Instacart, and VP of Product & Engineering at Meta, notably leading product for Messenger.What you'll learn:1. Why we're moving from “product as artifact” to “product as organism” and what this means for builders2. Microsoft's “seasons” planning framework that allows them to adapt quickly in the AI era3. The death of the org chart: how agents are turning hierarchies into task networks and why “the loop, not the lane” is the new organizing principle4. Why post-training will soon see more investment than pre-training—and how to build your own AI moat with fine-tuning5. Her prediction for the “agentic society”—where org charts become work charts and agents outnumber humans in your company6. The three-phase pattern every successful AI company follows (and why most fail at phase one)7. The rise of code-native interfaces and why GUIs might be going the way of the desktop8. What Asha learned from Satya Nadella about optimism—Brought to you by:Enterpret—Transform customer feedback into product growth: https://enterpret.com/lennyDX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lenny—Transcript: ⁠https://www.lennysnewsletter.com/p/how-80000-companies-build-with-ai-asha-sharma⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/171413445/my-biggest-takeaways-from-this-conversation⁠—Where to find Asha Sharma:• LinkedIn: https://www.linkedin.com/in/aboutasha/• Blog: https://azure.microsoft.com/en-us/blog/author/asha-sharma/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Asha Sharma(04:18) From “product as artifact” to “product as organism”(06:20) The rise of post-training and the future of AI product development(09:10) Successful AI companies: patterns and pitfalls(12:01) The evolution of full-stack builders(14:15) “The loop, not the lane”—the new organizing principle(16:24) The future of user interfaces: from GUI to code-native(19:34) The rise of the agentic society(22:58) The “work chart” vs. the “org chart”(26:24) How Microsoft is using agents(28:23) Planning and strategy in the AI landscape(35:38) The importance of platform fundamentals(39:31) Lessons from industry giants(42:10) What's driving Asha(44:30) Reinforcement learning (RL) and optimization loops(49:19) Lightning round and final thoughts—Referenced:• Copilot: https://copilot.microsoft.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Inside ChatGPT: The fastest growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• GitHub: https://github.com• Dragon Medical One: https://www.microsoft.com/en-us/health-solutions/clinical-workflow/dragon-medical-one• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Bolt: http://bolt.com• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Replit: https://replit.com/•Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Sierra: https://sierra.ai/• Spark: https://github.com/features/spark• Peter Yang on X: https://x.com/petergyang• How AI will impact product management: https://www.lennysnewsletter.com/p/how-ai-will-impact-product-management• Instacart: http://instacart.com/• Terminator: https://en.wikipedia.org/wiki/Terminator_(franchise)• Porch Group: https://porchgroup.com/• WhatsApp: https://www.whatsapp.com/• Maslow's Hierarchy of Needs: https://www.simplypsychology.org/maslow.html• Satya Nadella on X: https://x.com/satyanadella• Perfect Match 360°: Artificial intelligence to find the perfect donor match: https://ivi-fertility.com/blog/perfect-match-360-artificial-intelligence-to-find-the-perfect-donor-match/• OpenAI's GPT-5 shows potential in healthcare with early cancer detection capabilities: https://economictimes.indiatimes.com/news/international/us/openais-gpt-5-shows-potential-in-healthcare-with-early-cancer-detection-capabilities/articleshow/123173952.cms• F1: The Movie: https://www.imdb.com/title/tt16311594/• For All Mankind on AppleTV+: https://tv.apple.com/us/show/for-all-mankind/umc.cmc.6wsi780sz5tdbqcf11k76mkp7• The Home Depot: https://www.homedepot.com/• Dewalt Powerstack: https://www.dewalt.com/powerstack• Regret Minimization Framework: https://s3.amazonaws.com/kajabi-storefronts-production/sites/2147500522/themes/2148012322/downloads/rLuObc2QuOwjLrinx5Yu_regret-minimization-framework.pdf—Recommended books:• The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip: https://www.amazon.com/Thinking-Machine-Jensen-Coveted-Microchip/dp/0593832698• Tomorrow, and Tomorrow, and Tomorrow: https://www.amazon.com/dp/0593466497Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

(We apologize for the low audio quality, but the video contains such valuable content that we decided to keep it.) What if you could build an entire business, from idea to working software, with just ONE AI prompt? In this episode, I'm pulling back the curtain on how I personally use artificial intelligence to create full business prototypes, marketing kits, and even backend systems without writing a single line of code. Whether you're a coach, mentor, or service provider, this episode will completely shift the way you think about building a business in today's AI-powered world. I'll walk you through some of my favorite AI tools like Lovable.dev, Replit, Cursor, and Bolt.new, and show you how anyone (yes, even you) can turn a simple idea into something real, fast. We're not just talking theory here - I actually show you how to prompt AI to: Build front-end dashboards Create marketing assets Develop full landing pages Design social media content that drives attention I also dive into the biggest mistake I see entrepreneurs make: waiting for everything to be perfect before launching. That mindset is killing your momentum. This episode will challenge your excuses, stir your creativity, and show you how to take action, even if you don't feel “ready.”

There's millions of people who want to vibe code -- but don't know where to get started.After all... vibe coding tools often are still full-stack enterprise powerhouses with a steep uphill learning curve. If only there were a simpler vibe coding platform that didn't even have code. That's Google Opal. And for this rendition of AI at Work Wednesday, we show you how to use Google's Opal to create simple apps that tackle some of your most repetitive, redundant tasks.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Opal Vibe Coding Tool OverviewHow to Use Google Opal: Step-by-StepOpal vs. Cursor, Replit, Copilot ComparisonBuilding No-Code AI Apps with OpalGoogle Opal Natural Language Workflow CreationOpal for Task-Based AI App DevelopmentGoogle Opal Beta Features and LimitationsPrebuilt Google Opal Apps and TemplatesVisual Editor and App Sharing in OpalOpal's Integration with Gemini AI ModelsTimestamps:00:00 "Everyday AI for Business Leaders"04:34 "Opal: Easy No-Code AI Apps"07:33 "Validate Ideas Before Full Development"11:25 Interactive Canvas with Chat Integration14:36 "Podcast: Interactive Instruction Feature"19:13 Efficient Research for Timely Episodes22:16 "Real-Time Deep Research Process"24:20 "Trends in Smaller Language Models"29:05 Improving Podcast Visual Strategies30:58 Remixing Apps with Google Opal35:45 "No-Code Opal Revolutionizes MVP Development"37:11 "Opal Tool Demos for Users"Keywords:Google Opal, Opal vibe coding, vibe coding tool, no code AI, Google AI, Google Labs, natural language app builder, AI app generator, AI workflow automation, task apps, visual app builder, Google Gemini, Gemini app, AI chaining, Google AI models, Gemini 2.5, Gemini Pro, Gemini Flash, AI image generation, VO3, audio LM, Lyria 2, multimodal AI, deep research, interactive web application, app editor, Opal gallery, prebuilt AI apps, app remixing, AI output customization, AI for nontechnical users, AI chaining tools, Google Jules, Cursor, GitHub CopilotSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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Anton Osika is the Co-Founder and CEO @ Lovable, the fastest growing company on the planet. In just 7 months, they have scaled from $0 to $120M in ARR. They have raised over $200M in funding from some of the best including Accel, Creandum and 20VC. Their latest round priced the company at a whopping $2BN.  Agenda for Today: 00:00 – Is AI an Arms Race… Or Just a Talent War? 03:45 – How Does Anton Compete with Zuck's $100M Packages for Talent 07:30 – Founder Mode vs. Structure: Can Chaos Scale? 10:15 – The Brutal Truth About Defensibility in AI Startups 13:20 – Unit Economics: Are AI Companies Doomed to Bleed Cash? 17:00 – GPT-5: Game-Changer or Overhyped Disappointment? 20:10 – How Lovable Hit $100M ARR in Just 7 Months? 25:15 – Replit, Figma, Bolt: Which Competitor is the Best? 30:00 – The Security Bombshells No One Talks About 36:40 – Should Anyone Still Study Computer Science? 40:30 – Work-Life Balance Is Dead: Inside Anton's 10x Culture 56:00 – OpenAI, Anthropic, or Grok: Who Wins the AI Wars?    

First, a collection of first reactions to GPT-5. This week saw major AI shifts — from web-scraping battles to the brutal economics of AI coding startups. Cloudflare took aim at Perplexity over “stealth crawling,” Google defended AI overviews against claims they hurt web traffic, and reports revealed that coding firms like Windsurf and Replit face severe negative margins despite rapid growth. Also in the mix: Google's Jules coding agent launch, N8N's potential $2.3B valuation as the first pure-play agentic company, Microsoft's talent raids on Google DeepMind, and OpenAI's $500B secondary talks with $1.5M employee bonuses and $1 government-agency deals. Together, these stories show the fierce power struggles and harsh economics shaping AI's next era.Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.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/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

Amjad Masad is the CEO of Replit. Masad joins Big Technology podcast for a frank discussion about vibe coding, or building software via prompt. We discuss all the use cases, whether anyone can do it or whether it's just a tool for already-technical builders, whether vibe coding replaces saas, and what the role of the engineer becomes in the future. Stay tuned for the second half where we discuss whether the AI coding business is sustainable given the costs of delivering the technology. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

Those of you who tuned in to last week's episode (#428) will have heard the big news from my podcast pal Carole that she's decided to move on to from her co-hosting duties on the show.There have been some lovely messages of support sent through for Carole, and indeed for me too. Thank you very much to all of you - it's really heatywarming to hear how much the last 428 episodes have meant to you all, and how much you want the show to go on.And so - as I said last week - it will carry on. Next week there will be a regular edition of "Smashing Security" with a special guest well known to all of you, and I plan to carry on as normal every week with guests after that...This week though I felt like I needed to catch my breath, and take a break. But I didn't want to leave you without something to listen to...So, here is a special edition of "Smashing Security" with a couple of clips from recent episodes of its sister show "The AI Fix", which I co-host with Mark Stockley.If you enjoy "The AI Fix," please do follow it in your favourite podcast apps and tell your friends!Until next week, cheerio bye bye.Episode links:The AI Fix.The AI Fix on Apple Podcasts.The AI Fix on Spotify.The AI Fix on Pocketcasts.The AI Fix on Overcast.SUPPORT THE SHOW:Tell your friends and colleagues about “Smashing Security”, and leave us a review on Apple Podcasts or Podchaser.Become a supporter via Patreon or Apple Podcasts for ad-free episodes and our early-release feed!FOLLOW US:Follow us on Bluesky or Mastodon, or on the Smashing Security subreddit, and visit our website for more episodes.THANKS:Theme tune: "Vinyl Memories" by Mikael Manvelyan.Assorted sound effects: AudioBlocks.ENJOYED THE SHOW?Make sure to check out our sister podcast, "The AI Fix".This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

Register for FREE Infosec Webcasts, Anti-casts & Summits – https://poweredbybhis.com 00:00 - PreShow Banter™ — National Chicken Wing Day04:16 - BHIS - Talkin' Bout [infosec] News 2025-07-2805:30 - Story # 1: Bad vibes: How an AI agent coded its way to disaster08:40 - Story # 1b: Replit goes rogue, deletes entire database.15:44 - Story # 2: A major AI training data set contains millions of examples of personal data26:05 - Story # 3: Women Dating Safety App ‘Tea' Breached, Users' IDs Posted to 4chan33:19 - Story # 4:A Startup is Selling Data Hacked from Peoples' Computers to Debt Collectors40:28 - Story # 5: Clorox Sues IT Provider Cognizant For Simply Giving Employee Password to Hackers49:46 - Story # 6: Businesses banned from paying hackers' ransoms to target cybercrime57:38 - SharePoint Follow Up

Paris Marx is joined by Jacob Silverman to discuss Sequoia partner Shaun Maguire's Islamophobic attack on Zohran Mamdani, what it tells us about the state of tech's politics, and how Donald Trump is enriching himself through crypto scams.Jacob Silverman is a journalist and the author of the forthcoming book Gilded Rage: Elon Musk and the Radicalization of Silicon Valley.Tech Won't Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Support the show on Patreon.The podcast is made in partnership with The Nation. Production is by Kyla Hewson.Also mentioned in this episode:Jacob has reported on the Aqua 1 Foundation's mysterious crypto deal that puts $75 million dollars in Donald Trumps pocket.Trump signed the GENIUS Act last week, which aims to make crypto more mainstream and is widely viewed as openly corrupt. Trump has already made millions of dollars from crypto.Crypto is coming for the US 401k.Support the show

Want help scaling your business to $1M in monthly revenue? Click here to connect with my consulting team: http://contrarianthinking.biz/4ofpngv In this episode, host Codie Sanchez sits down with Amjad Masad, CEO of Replit, to discuss the transformative potential of AI in the tech industry. Amjad shares his journey from coding at age six in Jordan to leading one of the fastest-growing AI companies. He offers insights into overcoming entrepreneurial challenges, the importance of non-conformist thinking, and how Replit empowers individuals to create applications without coding skills. Learn how AI can revolutionize business, the future of AI talent, and why Amjad believes the United States remains the best place for entrepreneurship. 00:00 Introduction and Excitement for AI 00:49 Early Beginnings in Coding 02:26 Turning Down a Billion Dollar Offer 05:55 Challenges and Pivots in Business 10:18 Repl.it's Revolutionary Impact 14:40 Empowering Entrepreneurs with AI 31:58 The Future of AI and Prompting 37:38 Leadership and Talent Wars in AI 48:13 The Risks of Joining a Startup 49:05 Government Policies and Innovation 49:46 The Role of WhatsApp Groups in Tech 50:34 Competing with Big Tech 51:14 The Importance of Direct Communication 51:31 Challenges of PR and Media Coverage 53:10 The Underdog Mentality 56:05 Building a Venture Scale Company 57:02 The Culture of Silicon Valley 57:59 Operating Principles and Company Culture 59:02 The Importance of Seeking Pain 01:05:45 Mentorship and Lifelong Work 01:14:10 The Human Experience and AI 01:25:47 The Future of AI and Society 01:27:16 The American Dream and Entrepreneurship MORE FROM BIGDEAL:

Links: From Gizmodo.com - Replit's AI Agent Wipes Company's Codebase During Vibecoding Session From Last Week Tonight with John Oliver - https://www.youtube.com/watch?v=TWpg1RmzAbc From Financial Times - Can finance put a stop to AI data mining? * Be sure to follow us on our social media accounts on  LinkedIn: https://www.linkedin.com/company/the-audit-podcast Instagram: https://www.instagram.com/theauditpodcast TikTok: https://www.tiktok.com/@theauditpodcast?lang=en   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.  * This podcast is brought to you by Greenskies Analytics. the services firm that helps auditors leapfrog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.   Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

Martin Casado is a General Partner @ a16z where he leads the firms $1.25BN infrastructure fund. At a16z, Martin has led investments in companies like Cursor, dbt Labs, and Fivetran to name a few. Before joining a16z, he co-founded Nicira, acquired by VMware for $1.26B. At VMware, he served as CTO of Networking. Widely regarded as a visionary in enterprise infrastructure, Martin has helped shape the modern cloud computing stack. Agenda: 00:00 – Analysis of Current AI Investment Landscape 04:45 – Will Anthropic Kill the AI App Layer? 09:20 – “The Oligopoly Is Coming—Just Like Cloud” 12:50 – Are AI Models Actually Terrible Venture Investments? 15:40 – Why it is BS to Put Down AI Apps for Having Temporary Revenue 21:30 – “Open Source Is a National Security Weapon—And We're Losing” 26:40 – “Have the Foundation Models of the Future All Been Founded Already” 34:30 – Why it is BS to Denigrate AI Apps for Having Low Margins 38:40 – Does AI Make 1x Engineers 10x or 10x Becomes 100x 44:10 – “We're All Dead Wrong About AI and Job Loss” 50:30 – “The Only Sin in Venture: Backing the Wrong Winner” 55:10 – What People Think They Know About Wealth But Do Not  

This week, we're drowning in the genius of our tech overlords as Elon Musk opens his Tesla diner, complete with $17 hotdogs and a blocked apartment view, while his $9 billion Neuralink startup claims it's a "disadvantaged" business. Not to be outdone, SpaceX is mad about other people's space junk, France is criminally probing X for algorithm manipulation, and Meta is giving the EU's AI code of practice a hard pass. Amid warnings the AI bubble is worse than the dot-com implosion, we've seen Replit delete a user's database, ChatGPT hallucinate features into existence, and the FDA's own AI fake medical studies. It's no wonder psychologists are identifying "AI Psychosis" while others hope the ensuing internet slop cures our addiction. Meanwhile, a Denver couple gets indicted for a crypto scam, a Colorado pastor blames God for his failed coin, and Trump signs a stablecoin bill, so that's all fixed now. To top it off, Lyft lets you block drivers and Uber finally lets women riders match with women drivers in the US.In Media Candy, we're turning the nostalgia dial to eleven with "This Is Spinal Tap" in 4K and a look back at 1994's best movies, a time before Spotify started polluting dead artists' pages with AI-generated songs. Netflix is also using generative AI, but we're still watching "Star Trek: Strange New Worlds," "Hacks," "Wednesday," "Superman," "Sunday Best," and "Bookish." For your app fix, you can browse a glorious collection of 90s Geocities backgrounds or let Amazon's new Bee AI wearable listen to your every word, your choice. At the library, we're digging into Michael Palin's "Python Years" diaries. Finally, we pour one out in our closing shout-outs for George Kooymans of Golden Earring, Malcolm-Jamal Warner, Hulk Hogan, and the Prince of Darkness himself, Ozzy Osbourne. What a week.Sponsors:DeleteMe - Head over to JoinDeleteMe.com/GOG and use the code "GOG" for 20% off.Private Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/706IN THE NEWSTesla's retro-futuristic diner officially opens as Elon Musk hints at more locationsTesla's new diner blocks a neighboring apartment building's viewA $17 Hotdog and a Humanoid Robot Serving Popcorn: WIRED's Day at the Tesla DinerElon Musk-Founded Brain Implant Startup Says It's a ‘Disadvantaged' Business Despite Being Worth $9 BillionFrance launches criminal probe of X's alleged algorithm 'manipulation'SpaceX Has the Nerve to Be Mad About a Competitor's Massive Satellites Littering Earth OrbitMeta says it won't sign the EU's AI code of practiceWhy I'm Betting Against AI Agents in 2025 (Despite Building Them)Replit goes rogue during a code freeze and shutdown and deletes our entire databaseVibe coding service Replit deleted user's production database, faked data, told fibs galoreChatGPT Hallucinated a Feature, Forcing Human Developers to Add It“Call Me A Jerk: Persuading AI to Comply with Objectionable Requests”The Emerging Problem of "AI Psychosis"AI Slop Might Finally Cure Our Internet AddictionFDA's New Drug Approval AI Is Generating Fake Studies: ReportEconomist Warns the AI Bubble Is Worse Than Immediately Before the Dot-Com ImplosionOpenAI Seeks Additional Capital From Investors as Part of Its $40 Billion RoundMicrosoft Sharepoint server vulnerability puts an estimated 10,000 organizations at risk‘I Got You Guys Out of So Much Trouble': Trump Signs Stablecoin Crypto BillDenver Grand Jury Indicts Married Couple in Alleged Multi-Million Dollar Cryptocurrency ScamColorado pastor: "We took God at his word and sold a cryptocurrency with no clear exit"Lyft Will Let Users ‘Favorite' or Block Drivers in Broader Loyalty PushUber is finally letting women riders in the US match with women driversMEDIA CANDYStar Trek: Strange New WorldsHacksNetflix is already using generative AI in its original shows'Wednesday' Is Snapping Back for Season 3 and a SpinoffThis Is Spinal Tap Now Available in 4K Ultra HDIn 2024, More Music Is Released in a Day Than in All of 1989 CombinedBest Movies of 1994Spotify Allowing AI-Generated Songs on Dead Artists' Pages: ReportSupermanSunday BestBookishAPPS & DOODADSAmazon buys Bee AI wearable that listens to everything you sayCollection of 1990s website background tiles from GeocitiesGifCitiesAT THE LIBRARYDiaries 1969–1979: The Python Years (Michael Palin Diaries Book 1)CLOSING SHOUT-OUTSGolden Earring guitarist George Kooymans dead at 77'The Cosby Show' Star Malcolm-Jamal Warner Dead At 54, Accidental DrowningMalcolm & Eddie IntroHulk Hogan Dead at 71Ozzy Osbourne, Godfather of Heavy Metal, Dead at 76See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Want 22 ChatGPT Agents you can launch in 5 minutes? Get the prompts here: https://clickhubspot.com/akv Ep. 346 Is ChatGPT agent actually a game changer for marketers, or just more overhyped AI?  Kieran dives into whether ChatGPT agent can truly automate complex marketing and growth tasks, or if specialized AI tools still reign supreme. Learn more on how the new agent stacks up against human marketers, where it shines and struggles in competitive research and crafting presentations, and what the future of managing fleets of AI agents means for your productivity. Mentions ChatGPT agent https://openai.com/index/introducing-chatgpt-agent/ Perplexity https://www.perplexity.ai/ Genspark https://www.genspark.ai/ Replit https://replit.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Amjad Masad is the founder and CEO of Replit, a cloud-based coding platform. He is also an outspoken voice on cultural and educational shifts in technology. www.replit.com The ultimate wireless hack. Make the switch at Visible dot com. Learn more about your ad choices. Visit podcastchoices.com/adchoices