Google I/O Afterparty: The Future of Human-AI Collaboration, From Veo to Mariner

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Jun 3, 2025

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Jaclyn Konzelmann, a Google Labs leader working on Project Mariner, discusses how this intelligent assistant enhances productivity by remembering context across tasks. Simon Tokumine highlights NotebookLM's evolution into a platform that personalizes information delivery. Thomas Iljic fascinates listeners with insights on merging filmmaking and gaming through generative AI in Whisk and Veo. The trio delves into creative media's future, the challenges of AI-powered e-commerce, and how user feedback shapes these innovative tools.

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INSIGHT

Iterative Show-and-Tell Creation

Iterative creation with control and show-and-tell is key to AI filmmaking tools.
Video generation and simulation games are merging, focusing on world-building for refining content.

INSIGHT

Future Video Generation UI

Video generation will be a mixture of showing references and natural language instructions.
Future UIs will combine world building and interactive shooting with reshoot and refine capabilities.

INSIGHT

Movies and Games Merging

The line between movies and games will blur as video generation becomes more interactive.
Sharing will evolve from static media to interactive experiences users can walk into and control.

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Fresh off impressive releases at Google’s I/O event, three Google Labs leaders explain how they’re reimagining creative tools and productivity workflows. Thomas Iljic details how video generation is merging filmmaking with gaming through generative AI cameras and world-building interfaces in Whisk and Veo. Jaclyn Konzelmann demonstrates how Project Mariner evolved from a disruptive browser takeover to an intelligent background assistant that remembers context across multiple tasks. Simon Tokumine reveals NotebookLM’s expansion beyond viral audio overviews into a comprehensive platform for transforming information into personalized formats. The conversation explores the shift from prompting to showing and telling, the economics of AI-powered e-commerce, and why being “too early” has become Google Labs’ biggest challenge and advantage.

Hosted by Sonya Huang, Sequoia Capital

00:00 Introduction

02:12 Google's AI models and public perception

04:18 Google's history in image and video generation

06:45 Where Whisk and Flow fit

10:30 How close are we to having the ideal tool for the craft?

13:05 Where do the movie and game worlds start to merge?

16:25 Introduction to Project Mariner

17:15 How Mariner works

22:34 Mariner user behaviors

27:07 Temporary tattoos and URL memory

27:53 Project Mariner's future

29:26 Agent capabilities and use cases

31:09 E-commerce and agent interaction

35:03 Notebook LM evolution

48:26 Predictions and future of AI

Mentioned in this episode:

Whisk: Image and video generation app for consumers
Flow: AI-powered filmmaking with new Veo 3 model
Project Mariner: research prototype exploring the future of human-agent interaction, starting with browsers
NotebookLM: tool for understanding and engaging with complex information including Audio Overviews and now a mobile app
Shop with AI Mode: Shopping app with a virtual try-on tool based on your own photos
Stitch: New prompt-based interface to design UI for mobile and web applications.

ControlNet paper: Outlined an architecture for adding conditional language to direct the outputs of image generation with diffusion models