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Atmrix

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Atmrix

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a

a16z Cast

02/07/25

@ a16z

We need to shift our benchmarks for evaluating AI models beyond just parameters and coding tests to include practical applications and cost-effectiveness.

Video

a

What DeepSeek Means For The Future Of AI | Tech Veterans Weigh In

@ a16z

What DeepSeek Means For The Future Of AI | Tech Veterans Weigh In

02/07/25

Related Takeaways

a

a16z Cast

05/29/25

@ a16z

As AI evolves, we need to shift from static benchmarks to real-time evaluation systems that can adapt to user feedback.

a

a16z Cast

05/29/25

@ a16z

The challenge lies in defining the right measures of progress in AI evaluation, moving beyond traditional benchmarks.

a

a16z Cast

05/29/25

@ a16z

The challenge lies in defining the right measures of progress in AI evaluation, moving beyond traditional benchmarks.

IS

Ion Stoica

05/29/25

@ a16z

Real-world testing is essential for ensuring that AI models are reliable and effective in practical applications.

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.

DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

The Turing test has become less relevant as AI capabilities evolve, and we need to focus on more meaningful assessments of AI performance.

L

LangChain Cast

03/27/25

@ LangChain

Companies are increasingly focused on the business value of AI agents rather than just technical benchmarks, emphasizing the importance of measurable impact.

YC

Y Combinator Cast

06/18/25

@ Y Combinator

The AI industry suffers from a lack of rigorous evaluations and tests that demonstrate the frontier of model capabilities.

DS

David Silver

04/11/25

@ Google DeepMind

We must be cautious about how we define metrics for AI systems to avoid unintended consequences, such as optimizing for the wrong outcomes.