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Shyam Sankar

04/23/25

@ a16z

To advance AI, we need to focus on building infrastructure that can handle edge cases, similar to the journey of self-driving cars, which have taken years to develop due to the complexities involved.

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Mobilizing the American Industrial Base

@ a16z

Mobilizing the American Industrial Base

04/23/25

Related Takeaways

Sam Altman

04/12/25

@ TED

The iterative process of deploying AI systems, gathering feedback, and learning is crucial for building safe systems as we advance into more complex AI.

Mira Murati

09/25/23

@ a16z

As we deploy AI technologies, we face massive systems and engineering challenges to make them efficient and accessible to users without deep knowledge of machine learning.

Sam Altman

04/12/25

@ TED

As AI systems become more capable, we need to ensure that we have safety processes in place throughout their development, not just when they become powerful.

Geoffrey Hinton

01/18/25

@ Curt Jaimungal

The development of AI is unlikely to be slowed down due to intense competition, so we should focus on ensuring its safety as it progresses.

Andrew Ng

08/30/23

@ Stanford Online

AI as a general-purpose technology presents numerous opportunities, and our focus should be on building concrete use cases to harness its potential effectively.

a16z Cast

02/07/25

@ a16z

The excitement around AI innovations is palpable, and we should focus on building rather than restricting these advancements.

Sam Altman

04/12/25

@ TED

We need to build a society that can harness the benefits of advanced AI while ensuring its safety as it surpasses human capabilities.

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.

Sergey Brin

05/23/25

@ Google for Developers

Both algorithmic improvements and computational advancements, such as better chips and larger data centers, are essential for progress in AI.