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Atmrix

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Atmrix

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SC

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.

Video

SC

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

SC

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.

SC

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.

SC

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.

SC

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.

NP

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.

YC

Y Combinator Cast

10/18/24

@ Y Combinator

Even with large context windows in models, specialized tools are necessary for lookups to ensure accurate context management and memory selection.

YC

Y Combinator Cast

06/07/24

@ Y Combinator

While a larger context window is beneficial, it may lack specificity in retrieval tasks. A smaller, more reliable context window might be preferable for ensuring accurate data retrieval.

YC

Y Combinator Cast

10/25/24

@ Y Combinator

OpenAI plans to introduce exciting updates for o1, including support for additional tools like code interpreters and browsing, longer context windows, and eventually multimodality.

IF

Isa Fulford

05/08/25

@ Sequoia Capital

We aimed to create a useful model by training it directly on tasks that users perform in their daily lives, with online browsing being a key focus due to its broad applicability.