The Generative AI Meetup Podcast

https://novacut.ai/

 

  Shashank and Mark break down a packed few weeks in AI: new open-source and local models, MCP and tool
  use, Chinese labs closing the frontier-model gap, Google's full-stack advantage, and the exploding cost
  of data-center buildouts.

  They debate whether AI spending keeps compounding as models get cheaper and demand rises, or whether
  smaller, local, good-enough models eventually puncture today's valuations.

In this episode, recorded across two continents with
  Mark in Fukuoka, Japan and Shashank by the Ganges River in
  Rishikesh, India, the hosts dive into the rapidly evolving AI
  landscape. They explore how ChatGPT has reached mass adoption even
  among yoga practitioners and Ayurvedic doctors in India, discuss
  the newly released Gemma 4 and its surprising quality as a local
  model, debate the rumors around Anthropic's powerful Mythos model,
  and examine the recent Axios npm supply chain attack. Most notably,
   Mark shares his experience building a largely autonomous software
  development workflow using AI coding agents and Playwright MCP —
  burning through $350/month in AI subscriptions but achieving the
  output of a 50-person engineering team. They discuss the future of
  AI agent-driven companies and why human taste still matters in
  product design.

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/ 

Novacut: https://novacut.ai 

 

Mark and Shashank break down the latest developments in AI from their travels in Fukuoka and Seychelles. They cover Gemini 3.1 Pro matching human performance on the ARC-AGI-1 benchmark at a fraction of the cost, the upcoming ARC-AGI-3 video game-style test, and why only three US companies (OpenAI, Anthropic, Google) seem to be pushing state-of-the-art right now while Meta and xAI deal with leadership shakeups.

The conversation moves to OpenAI's GPT 5.3 Codex Spark model running on Cerebras hardware for lightning-fast inference, Abu Dhabi's M42 initiative sequencing 700,000+ genomes and centralizing health records for AI-driven healthcare, and the viral OpenClaw incident where an AI agent wrote a hit piece on a human open-source maintainer who rejected its pull request.

They also discuss the Anthropic vs. Pentagon drama over autonomous weapons and mass surveillance restrictions, an ex-Google Maps PM who vibe-coded a Palantir-style intelligence dashboard in a weekend, and their hands-on experiences with Claude Code, Codex, Cursor, and MCP integrations. The episode wraps with thoughts on agent swarms, the human-in-the-loop problem for taste-driven tasks, and whether we're close to the first solo-founder billion-dollar company powered entirely by AI agents.

After a brief hiatus, Mark and Shashank dive into the whirlwind of AI developments from recent weeks. They explore Kimi 2.5's impressive open-source capabilities, Google's groundbreaking Project Genie world model, and AI solving previously unsolved mathematical problems. The conversation shifts to the Davos discussions between Demis Hassabis and Dario Amodei on AGI timelines, before taking a fascinating detour into space-based data centers. The episode culminates with an in-depth look at OpenClaw (formerly ClawdBot) and Moltbook—a Reddit-like social network for AI agents that's spawning everything from cryptocurrency to manifestos. The hosts grapple with both the exciting possibilities and unsettling implications of autonomous AI agents collaborating at scale.

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