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Atmrix

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MZ

Mark Zuckerberg

07/30/24

@ NVIDIA

In the future, we will see a proliferation of different AI models, with companies using the largest models for performance optimization.

Video

N

AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg

@ NVIDIA

AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg

07/30/24

Related Takeaways

YC

Y Combinator Cast

12/14/24

@ Y Combinator

Companies are increasingly using multiple AI models for different tasks, optimizing performance by selecting the best model for each specific application.

MZ

Mark Zuckerberg

04/30/25

@ Dwarkesh Patel

As AI becomes more integrated into various applications, we need to optimize for specific internal use cases, which may lead us to use other models if they better serve those needs.

JD

Jeff Dean

05/12/25

@ Sequoia Capital

The future landscape of AI may involve a combination of large models and smaller, specialized models that work in parallel, leveraging different areas of expertise.

RK

Ray Kurzweil

06/03/25

@ The 92nd Street Y, New York

The future will likely see more choices of AI models rather than a single dominant model.

MZ

Mark Zuckerberg

07/30/24

@ NVIDIA

The ability to distill models from larger ones will be valuable, as companies will likely have AIs tailored for every function they need.

YC

Y Combinator Cast

11/01/24

@ Y Combinator

Startups are increasingly opting for smaller AI models instead of the largest models available, as evidenced by recent statistics.

MZ

Mark Zuckerberg

07/30/24

@ NVIDIA

The future of AI will involve diverse models that allow businesses and creators to customize their AI agents for specific tasks and interactions.

a

a16z Cast

05/02/25

@ a16z

The future of AI may involve new infrastructure and development tools that leverage the unique characteristics of AI models, differentiating them from traditional functions.

IS

Ion Stoica

05/29/25

@ a16z

As we gather more data and build a larger platform, we can create more granular and personalized evaluations of AI models.