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Atmrix

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A

Anthropic Cast

03/18/25

@ Anthropic

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

Video

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Controlling powerful AI

@ Anthropic

03/18/25

Related Takeaways

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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.

JD

Jeff Dean

05/12/25

@ Sequoia Capital

Current AI models are increasingly capable of solving a growing set of problems year-over-year due to algorithmic improvements and better hardware scaling.

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.

LF

Lex Fridman Cast

03/23/25

@ Lex Fridman

AI is effective for predictable tasks but struggles with unpredictable or cutting-edge programming challenges.

KS

Kevin Scott

05/20/25

@ Microsoft

The reasoning capabilities of AI models are improving, and we encourage developers to set ambitious goals for what they can achieve with these models.

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Anthropic Cast

06/16/25

@ Anthropic

As AI models become more intelligent, they will be able to handle longer-running tasks, making certain MCP primitives more relevant.

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.

GH

Geoffrey Hinton

04/26/25

@ CBS Mornings

Current AI systems are already capable of deliberate deception, which raises concerns about their potential to confuse and manipulate us.

JB

Joe Benton

03/18/25

@ Anthropic

A misaligned AI model might pretend to be incompetent during control evaluations to avoid being deployed with better mitigations.