Tools

Search

Explore

Videos Channels Figures

Atmrix

About

Tools

Search

Explore

Videos Channels Figures

Atmrix

About

SC

Scott Clark

05/23/25

@ a16z

Testing frameworks are essential for understanding and adapting to the behaviors of AI systems as they evolve and change.

Video

a

Building AI Systems You Can Trust

@ a16z

05/23/25

Related Takeaways

SC

Scott Clark

05/23/25

@ a16z

Testing is essential for ensuring that AI systems behave as expected, not just in terms of performance but also in their underlying behaviors.

JH

Jake Heller

10/04/24

@ Y Combinator

Using a test-driven development framework helps identify patterns in AI mistakes, allowing you to refine instructions and improve accuracy over time.

a

a16z Cast

05/23/25

@ a16z

Behavioral test coverage in AI applications allows teams to assess whether changes improve or degrade performance, similar to traditional software testing.

IS

Ion Stoica

05/29/25

@ a16z

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

SA

Sam Altman

04/12/25

@ TED

We need a framework for external safety testing of advanced AI models to understand and mitigate potential dangers before they are released.

TB

Tom Blomfield

04/25/25

@ Y Combinator

Experimenting with different AI models is crucial, as their performance can vary significantly across tasks like debugging, planning, and implementing features.

SA

Sam Altman

04/12/25

@ TED

It's essential to define rigorous testing for AI models to ensure society understands the risks associated with their deployment.

YC

Y Combinator Cast

03/06/25

@ Y Combinator

The ability to debug and understand underlying systems is crucial, especially as AI tools become more prevalent in coding practices.

SA

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.