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Josh Woodward: Google Labs is Rapidly Building AI Products from 0-to-1
As VP of Google Labs, Josh Woodward leads teams exploring the frontiers of AI applications. He shares insights on their rapid development process, why today’s written prompts will become outdated and how AI is transforming everything from video generation to computer control. He reveals that 25% of Google’s code is now written by AI and explains why coding could see major leaps forward this year. He emphasizes the importance of taste, design and human values in building AI tools that will shape how future generations work and create.
Mentioned in this episode:
Notebook LM: Personal research product based on Gemini 2 (previously discussed on Training Data.)
Veo 2: Google DeepMind’s new video generation model.
Paul Graham on X replying to Aaron Levie’s post that “One approach to take in building in AI is to do something that's too expensive to be reasonably practical right now, and just bet that the costs will drop by 10X or 100X over time. The cost curve is on your side.”
Where Good Ideas Come From: Book on the history of innovation by Steven Johnson.
Project Mariner: Google DeepMind’s research prototype exploring human-agent interaction starting with browser use.
Replit Agent: Josh’s favorite new AI app
The Lego Story: Book on the history of Lego.
Hosted by: Ravi Gupta and Sonya Huang, Sequoia Capital
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By Sequoia Capital
4.2
3636 ratings
As VP of Google Labs, Josh Woodward leads teams exploring the frontiers of AI applications. He shares insights on their rapid development process, why today’s written prompts will become outdated and how AI is transforming everything from video generation to computer control. He reveals that 25% of Google’s code is now written by AI and explains why coding could see major leaps forward this year. He emphasizes the importance of taste, design and human values in building AI tools that will shape how future generations work and create.
Mentioned in this episode:
Notebook LM: Personal research product based on Gemini 2 (previously discussed on Training Data.)
Veo 2: Google DeepMind’s new video generation model.
Paul Graham on X replying to Aaron Levie’s post that “One approach to take in building in AI is to do something that's too expensive to be reasonably practical right now, and just bet that the costs will drop by 10X or 100X over time. The cost curve is on your side.”
Where Good Ideas Come From: Book on the history of innovation by Steven Johnson.
Project Mariner: Google DeepMind’s research prototype exploring human-agent interaction starting with browser use.
Replit Agent: Josh’s favorite new AI app
The Lego Story: Book on the history of Lego.
Hosted by: Ravi Gupta and Sonya Huang, Sequoia Capital
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