The Generative AI Meetup Podcast

Mark and Shashank

Hosted by Mark and Shashank, software engineers and organizers in Silicon Valley. Get their grounded perspective each week as they explore the generative AI landscape through news analysis, tech discussions, hands-on experiments, and clear explanations. Dive into the latest language models, AI agent capabilities, and RAG techniques. Understand the hardware race, key research, startup trends, benchmarks, and the real-world impact of AI across industries like healthcare, robotics, and creative work. We also test AI limits, explain core concepts, discuss ethics, and interview builders shaping the field. For engineers, developers, researchers, and anyone seeking a practical understanding of AI’s rapid evolution and its applications.

  1. JAN 6

    Groq, Hotel Delivery Robots, and Mark Launches a Company

    It’s been a travel-heavy hiatus—Mark’s been living in Spain and Shashank’s been bouncing across Asia (including a month in China)—but they’re back to unpack a packed week of AI news. They start with the headline hardware story: the Groq (GROQ) deal/partnership dynamics and why ultra-fast inference is becoming the next battleground, plus how this could reshape access to cutting-edge serving across the ecosystem. From there, they pivot to NVIDIA’s CES announcements and what “Vera Rubin” implies for data center upgrades, cost-per-token curves, and the messy real-world math of rolling hardware generations. Shashank then brings the future to life with on-the-ground stories from China: a Huawei “everything store” that feels like an Apple Store meets a luxury dealership, folding devices that look straight out of sci-fi, and a parade of robots—from coffee bots to delivery robots that can ride elevators and deliver to your hotel room. They also touch on companion-style consumer robots and why “cute” might be a serious product strategy. Finally, Mark announces the launch of Novacut, a long-form AI video editor built to turn hours of travel footage into a coherent vlog draft—plus export workflows for Premiere, DaVinci Resolve, and Final Cut. They close by talking about the 2026 shift from single model calls to “agentic” systems, including a fun (and slightly alarming) lesson from LLM outcome bias using poker hand reviews. Topics include: Groq inference, NVIDIA + CES, Vera Rubin GPUs, GPU depreciation math, China robotics, Huawei ecosystem, hotel delivery bots, companion robots, Novacut launch, Cursor vs agent workflows, and why agents still struggle with sparse feedback loops. Link mentioned: Novacut — https://novacut.ai

    1h 2m
  2. 11/22/2025

    Gemini 3, GPT-5.1, Anti-Gravity & Yann LeCun’s Exit: Are We Near AGI or Just in a Bubble?

    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/    In this episode of the Generative AI Meetup Podcast, Mark (in Ohio) and Shashank (in India) finally sit down after a month of travel to unpack a very eventful stretch in AI. They dive into Google’s new Gemini 3 Pro, its standout scores on Humanity’s Last Exam and ARC-AGI, and why these reasoning benchmarks matter more than yet another near-perfect standardized test score. Mark also makes a public feature request to DeepMind: please increase Gemini’s max output tokens. From there they get hands-on with the developer experience: Google’s new Anti-Gravity coding IDE (and how it compares to Cursor) Using GPT-5.1 Codex High in Cursor’s autonomous “plan mode” Why long context and long output windows are critical for deep research and book-length projects The conversation then shifts to the bigger picture: LLMs as therapists, sycophancy, safety, and the danger of AI always agreeing with you Mark’s rant on robotics, humanoid robots, and a coming age of extreme abundance where robots handle most physical and intellectual work Why learning to code may become the mental equivalent of going to the gym—a “brain gym” in a world where AI can do most practical tasks They also cover the latest AI industry drama and milestones: Yann LeCun leaving Meta, what that might signal about Big Tech AI labs, and how godfathers like Hinton, LeCun, and Bengio see the road to AGI DeepMind’s new game-playing agent and why world models in 3D environments matter for real-world robotics Genspark hitting unicorn status and what it means for “ChatGPT wrapper” startups Co-inventing a new term on air: a “narwhal” = a trillion-dollar private company If you’re curious about where frontier models, coding agents, robotics, and AGI trajectories all intersect—plus some philosophical musing on jobs, meaning, and abundance—this episode is for you.

    1h 1m
  3. 10/06/2025

    Sora 2, Claude 4.5 Sonnet, and the AI Browser Wars: Is NVIDIA Unstoppable?

    In this episode of the Gen.AI Meetup Podcast, hosts Shashank and Mark dive into the latest AI developments that are reshaping how we create, code, and browse. They explore OpenAI's impressive Sora 2 video generation model and its built-in social network, compare it with Google's VO3, and discuss whether AI-generated content will become mainstream entertainment. The conversation shifts to the newest coding models, including Anthropic's Claude 4.5 Sonnet and Grok 4 Fast, examining their performance, pricing, and whether they're worth the cost for developers. Mark shares his experience vibe coding with Cursor and why faster, cheaper models might be better than the most powerful ones. The hosts also explore the maturing AI browser space, discussing Perplexity's Comet browser, Dia from the Browser Company, and Google's Gemini integration in Chrome. They debate whether these AI-native browsers can convince users to switch from Chrome and what features would actually make them indispensable. Finally, they tackle the big question: Is NVIDIA's $4.5 trillion valuation justified? They discuss the company's dominance in AI chips, the circular investment patterns in the industry, and whether specialized compute chips can compete with NVIDIA's end-to-end ecosystem. Timestamps: 0:00 - Intro & OpenAI's Sora 2 announcement 8:30 - Sora 2 vs Google VO3: The new video generation king 15:45 - Claude 4.5 Sonnet: Worth the premium price? 25:20 - Grok 4 Fast: Crazy cheap, crazy fast 35:15 - NVIDIA's dominance: Bubble or justified? 50:40 - AI browsers: Comet, Dia, and the future of browsing 1:02:15 - Ambient computing and what's next Mentioned Resources: OpenRouter - Multi-model API aggregator Cursor - AI-powered code editor Perplexity Comet - AI-native browser Upcoming event: Coding Agents Showcase - Jan 9th, Palo Alto https://partiful.com/e/joRDIOYMqpogKjNtvlHY  Don't forget to RSVP for our Coding Agents event featuring Zed, Augment Code, Code Flash, Factory AI, and more! Spots are limited and filling fast. Have questions? Drop them in the YouTube comments and we'll answer them in future episodes!

    1h 13m
  4. 08/31/2025

    How to Vibe Code

    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!

    58 min
5
out of 5
11 Ratings

About

Hosted by Mark and Shashank, software engineers and organizers in Silicon Valley. Get their grounded perspective each week as they explore the generative AI landscape through news analysis, tech discussions, hands-on experiments, and clear explanations. Dive into the latest language models, AI agent capabilities, and RAG techniques. Understand the hardware race, key research, startup trends, benchmarks, and the real-world impact of AI across industries like healthcare, robotics, and creative work. We also test AI limits, explain core concepts, discuss ethics, and interview builders shaping the field. For engineers, developers, researchers, and anyone seeking a practical understanding of AI’s rapid evolution and its applications.