Tools

Search

Explore

Videos Channels Figures

Atmrix

About

Tools

Search

Explore

Videos Channels Figures

Atmrix

About

PB

Paul Buchheit

01/25/25

@ Y Combinator

The most valuable asset for AI companies is not just their codebase but the meticulously labeled evaluation sets that define correct outputs for AI models.

Video

YC

AI Revolution: What Nobody Else Is Seeing

@ Y Combinator

AI Revolution: What Nobody Else Is Seeing

01/25/25

Related Takeaways

VM

Varun Mohan

05/02/25

@ Y Combinator

The complexity of our AI systems is driven by the need for rigorous evaluation, which is critical for making informed investments in our technology.

YC

Y Combinator Cast

11/15/24

@ Y Combinator

Using a large evaluation set and carefully testing each step of the reasoning pipeline can lead to significant improvements in AI accuracy.

YC

Y Combinator Cast

11/15/24

@ Y Combinator

Companies should focus on proprietary data and unique test cases to differentiate themselves in the AI market.

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.

IS

Ion Stoica

05/29/25

@ a16z

As AI systems become more prevalent in critical industries, the need for robust evaluation platforms like LMArena becomes even more important.

a

a16z Cast

05/29/25

@ a16z

The diversity of opinions and expertise in the community is crucial for accurately evaluating AI models and their capabilities.

a

a16z Cast

05/29/25

@ a16z

The diversity of opinions and expertise in the community is crucial for accurately evaluating AI models and their capabilities.

a

a16z Cast

05/16/25

@ a16z

The coding market is thriving due to its verifiable nature, allowing for clear input-output relationships, making it easier to assess productivity improvements from AI tools.

DK

Daniel Kokotajlo

04/04/25

@ Dwarkesh Patel

The quality of researchers, their ability to learn from data, and the efficiency of experiments are crucial inputs to AI R&D progress.