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Atmrix

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Atmrix

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YC

Y Combinator Cast

10/18/24

@ Y Combinator

To achieve true AGI, systems must be able to learn and adapt in environments with no prior information, which current models cannot do effectively.

Video

YC

Now Anyone Can Code: How AI Agents Can Build Your Whole App

@ Y Combinator

Now Anyone Can Code: How AI Agents Can Build Your Whole App

10/18/24

Related Takeaways

YC

Y Combinator Cast

10/18/24

@ Y Combinator

Functional AGI, which automates economically useful tasks, is within reach, but true AGI will require efficient learning in unfamiliar environments.

BM

Bob McGrew

02/01/25

@ Y Combinator

Achieving AGI requires not just pre-training but also the ability to reason and utilize additional computational resources effectively to improve outcomes.

DH

Demis Hassabis

05/23/25

@ Google for Developers

The creation of self-improving systems could accelerate the development of AGI, as seen in previous AI advancements where models learned and improved rapidly in specific domains.

YC

Y Combinator Cast

10/18/24

@ Y Combinator

The argument that AGI will emerge simply by scaling up models overlooks the need for effective context management and the complexity of AI systems.

YC

Y Combinator Cast

11/22/23

@ Y Combinator

Understanding AGI is challenging because we don't fully comprehend human intelligence or how it works.

a

a16z Cast

05/02/25

@ a16z

Some argue that for something to be a true agent, it must be close to artificial general intelligence (AGI), capable of learning and working independently over time.

DH

Demis Hassabis

05/23/25

@ Google for Developers

The term AGI is important because it represents a theoretical construct of what human intelligence can achieve, and current AI systems do not yet meet this standard.

YL

Yann LeCun

03/20/25

@ Alex Kantrowitz

AI systems need to learn abstract representations of the world to make predictions and understand how the world operates, rather than just generating data.

YL

Yann LeCun

03/20/25

@ Alex Kantrowitz

Current AI systems lack the ability to acquire common sense and learn from natural sensors like video, which presents a significant challenge.