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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.

Video

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

Anthropic Cast

04/28/25

@ Anthropic

The challenge is ensuring that AI operates in the best interests of humanity, as it learns value judgments from people, but we must consider whose values are being represented.

Trenton Bricken

05/23/25

@ Dwarkesh Patel

The question of what values to instill in AI is complex and not easily answered; it's a significant challenge for researchers.

Dwarkesh Patel Cast

04/04/25

@ Dwarkesh Patel

As AI becomes more capable, we need to ensure that it aligns with human values and interests.

Dario Amodei

08/08/23

@ Dwarkesh Patel

I definitely think that alignment and values are not guaranteed to emerge with scale in AI models. The model's job is to predict facts, not values.

Geoffrey Hinton

04/26/25

@ CBS Mornings

Human interests often conflict, making it difficult to align AI with what is best for humanity as a whole.

Dwarkesh Patel Cast

04/04/25

@ Dwarkesh Patel

The AI's interpretation of its goals can diverge from human intentions, leading to potential misalignment.

Sander Schulhoff

06/19/25

@ Lenny's Podcast

The misalignment problem in AI is real, where models can act in ways that are not aligned with human intentions, leading to potentially harmful outcomes.

Lex Fridman Cast

02/03/25

@ Lex Fridman

The future of AI will depend on how well we can integrate human insights into AI systems, ensuring they are beneficial and aligned with human values.

Mike Krieger

05/31/25

@ Hard Fork

Anthropic's approach to AI involves training models to align with desired behaviors rather than relying solely on rigid rules, which can be insufficient in complex situations.