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GH

Geoffrey Hinton

04/26/25

@ CBS Mornings

Neural networks are now capable of reasoning through a process called chain of thought, allowing them to reflect on their outputs.

Video

CM

Full interview: "Godfather of AI" shares prediction for future of AI, issues warnings

@ CBS Mornings

Full interview: "Godfather of AI" shares prediction for future of AI, issues warnings

04/26/25

Related Takeaways

YC

Y Combinator Cast

10/25/24

@ Y Combinator

OpenAI's approach to implementing chain of thought reasoning in o1 remains largely undisclosed, but it likely involves advanced prompt engineering techniques.

A

Anthropic Cast

03/27/25

@ Anthropic

New methods have been developed to observe an AI model's internal thought processes and how concepts are interconnected to form logical circuits.

YC

Y Combinator Cast

10/25/24

@ Y Combinator

OpenAI trained o1 with large-scale reinforcement learning, enabling it to generate synthetic chains of thought that mimic human reasoning.

A

Anthropic Cast

03/18/25

@ Anthropic

Recent developments in AI show models are increasingly capable of externalized reasoning, which can be monitored for control purposes.

YC

Y Combinator Cast

10/25/24

@ Y Combinator

The chain of thought strategy, introduced by Google Brain researchers in 2022, helps models like o1 to solve problems step by step.

GH

Geoffrey Hinton

04/26/25

@ CBS Mornings

AI has progressed to a point where it can reason effectively, which is a significant change from previous capabilities.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

The circuits work in AI is impressive, showing that models can reason and understand complex relationships in data.

SB

Sergey Brin

05/24/25

@ Google for Developers

The ability to allow AI models to reason for extended periods, rather than just providing quick answers, can lead to significantly better outcomes for complex questions.

YC

Y Combinator Cast

10/25/24

@ Y Combinator

o1 utilizes a chain of thought process to break down complex problems into smaller, manageable steps, mirroring human reasoning.