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

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Manage episode 520550754 series 3550845
Content provided by Mark and Shashank. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark and Shashank or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

65 episodes

Artwork
iconShare
 
Manage episode 520550754 series 3550845
Content provided by Mark and Shashank. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark and Shashank or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

65 episodes

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