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TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

Models can struggle with tasks requiring expertise and taste, such as evaluating art, which presents a significant challenge for AI.

Video

DP

Is RL + LLMs enough for AGI? – Sholto Douglas & Trenton Bricken

@ Dwarkesh Patel

Is RL + LLMs enough for AGI? – Sholto Douglas & Trenton Bricken

05/23/25

Related Takeaways

SP

Sundar Pichai

06/05/25

@ Lex Fridman

As AI models become more capable, they can handle nuanced issues better, allowing for more artistic freedom while maintaining responsibility.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

Imbuing models with a sense of taste and setting up effective feedback loops is an ongoing challenge in AI development.

YC

Y Combinator Cast

05/30/25

@ Y Combinator

The effectiveness of AI models can vary significantly based on how they interpret and apply rubrics, with some being rigid and others more adaptable to exceptions.

DF

Dylan Field

03/13/25

@ Y Combinator

Design is about problem-solving and requires a deep understanding of user needs, which current AI models struggle to replicate.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

The challenge of aligning AI models with human values is complex, as models can develop their own interpretations of objectives based on the training they receive.

FK

Filip Kozera

03/25/25

@ Sequoia Capital

Creativity and human taste will remain essential, as AI cannot fully replicate the nuanced understanding and intent that humans bring to their work.

A

Anthropic Cast

03/18/25

@ Anthropic

Current AI models struggle with subtle sabotage tasks, but their planning capabilities are expected to improve rapidly.

L

LangChain Cast

03/27/25

@ LangChain

The current AI models still struggle with basic tasks, indicating a need for further optimization and development within the industry.

A

Anthropic Cast

03/18/25

@ Anthropic

It's difficult to find interesting and realistic threat models for AI systems that can effectively demonstrate their capabilities.