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Atmrix

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Atmrix

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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.

Video

A

Controlling powerful AI

@ Anthropic

03/18/25

Related Takeaways

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.

A

Anthropic Cast

03/18/25

@ Anthropic

Key threat models include AI systems copying their weights, deploying themselves unmonitored, and sabotaging AI safety research.

DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

The current capabilities of AI models are impressive, and skeptics should engage with them to understand their potential better.

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.

SC

Scott Clark

05/23/25

@ a16z

The challenge of ensuring AI systems do not exhibit undesired behaviors is more complex than simply achieving high performance metrics.

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.

RC

Rumman Chowdhury

05/30/25

@ EO

I see a significant gap between the potential of AI technology and its current reality, which presents an opportunity for testing and evaluating these models to achieve their true potential.

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.

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

The challenge of filtering out specific facts from AI models is compounded by the complexity of language and the potential for encoded language to evade detection.