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Sequoia Capital Cast

06/03/25

@ Sequoia Capital

The future of Notebook LM will focus on supporting users in their long-term projects, providing valuable assistance in both professional and educational contexts.

Video

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

@ Sequoia Capital

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

06/03/25

Related Takeaways

Sequoia Capital Cast

06/03/25

@ Sequoia Capital

We are focusing on enhancing the context awareness of Notebook LM to make it genuinely useful for users engaged in long-term projects.

Sequoia Capital Cast

06/03/25

@ Sequoia Capital

Notebook LM has evolved to focus on personal content creation, allowing users to generate tailored information for small audiences rather than generic content.

Sequoia Capital Cast

06/03/25

@ Sequoia Capital

The success of Notebook LM was unexpected, leading to rapid iterations and improvements based on user feedback and engagement with audio overviews.

Sequoia Capital Cast

06/03/25

@ Sequoia Capital

The introduction of mobile applications for Notebook LM aims to provide users with a more accessible and integrated experience across devices.

Nirav Patel

05/20/25

@ EO

We're transforming the notebook industry from a model of frequent replacements to one where products are used for longer periods, which is a win for us.

Andrej Karpathy

06/19/25

@ Y Combinator

The future of software development will involve rewriting a significant amount of code, with LLMs acting as utilities and operating systems.

Nirav Patel

05/20/25

@ EO

Framework is entering a colossal $200 billion notebook market, which offers significant growth opportunities by promoting longevity in product use.

Nirav Patel

05/20/25

@ EO

We are expanding our success from notebooks to other categories in the consumer electronics industry, ensuring we maintain a clear mission and vision.

Andrej Karpathy

06/19/25

@ Y Combinator

Large Language Models (LLMs) function like a new operating system, being developed by labs and distributed like utilities, reminiscent of computing in the 1960s.