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

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.