The Generative AI Meetup Podcast
The Generative AI Meetup Podcast

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

22 November 2025 1:00:59 Mark and Shashank

Listen to episode

About this episode

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.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The Generative AI Meetup Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.