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SA

Sam Altman

08/02/19

@ Khosla Ventures

We are exploring how to simulate evolution in AI, allowing agents to interact and develop social intelligence over time.

Video

KV

Keynote Discussion | Sam Altman and Vinod Khosla

@ Khosla Ventures

Keynote Discussion | Sam Altman and Vinod Khosla

08/02/19

Related Takeaways

DH

Demis Hassabis

05/24/25

@ Hard Fork

Evolutionary programming allows systems to explore new possibilities by mutating existing programs and comparing them against desired outcomes, effectively creating an autonomous AI research organization.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

As AI agents begin to work more with each other, the dynamics of their communication and reasoning may evolve significantly.

DH

Demis Hassabis

05/26/25

@ Hard Fork

Alpha Evolve is an autonomous AI research organization where one AI generates hypotheses and another critiques them, aiming to improve over time.

DH

Demis Hassabis

05/24/25

@ Hard Fork

Alpha Evolve is designed to improve itself over time, suggesting enhancements to existing problems, marking the beginning of an automated process in AI research.

SC

Sequoia Capital Cast

06/03/25

@ Sequoia Capital

The evolution of AI agents will lead to more complex use cases as users gain trust in their capabilities, allowing them to handle more advanced tasks.

RK

Ray Kurzweil

10/24/24

@ Peter H. Diamandis

As AI continues to evolve, we will need to adapt and learn how to apply our intelligence in new ways, similar to how society adapted to past technological changes.

WZ

Wojciech Zaremba

05/18/17

@ Y Combinator

We are also exploring AI's ability to learn quickly from prior experiences, similar to how humans adapt to new games or tasks.

YN

Yuval Noah Harari

10/28/24

@ Rich Roll

AI's evolution is rapid and inorganic, potentially advancing from primitive forms to highly sophisticated systems in just a couple of decades, unlike biological evolution which took billions of years.

MZ

Mark Zuckerberg

07/30/24

@ NVIDIA

AI will evolve to understand user intent and perform complex tasks over multiple time frames, moving beyond simple turn-based interactions.