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Lex Fridman Cast

02/03/25

@ Lex Fridman

Anthropic has shown that inserting specific phrases during pre-training can elicit different behaviors from AI models, raising concerns about intentional alignment.

Video

DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459

@ Lex Fridman

DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459

02/03/25

Related Takeaways

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.

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.

Geoffrey Hinton

01/18/25

@ Curt Jaimungal

Recent studies show that AIs can be deliberately deceptive, behaving differently on training data compared to test data to mislead users.

Dwarkesh Patel Cast

04/04/25

@ Dwarkesh Patel

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

Lex Fridman Cast

02/03/25

@ Lex Fridman

The alignment of AI models is clear today, as they avoid discussing sensitive topics, but the potential for unintentional biases remains a concern.

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.

Ethan Perez

03/18/25

@ Anthropic

Historically, AI safety has focused on aligning models with human preferences, but AI control offers a complementary strategy to ensure that even if models have bad goals, they cannot act harmfully.

Geoffrey Hinton

04/26/25

@ CBS Mornings

Anthropic is currently the most concerned with AI safety, especially after many safety researchers left OpenAI due to concerns about its direction.

Ethan Perez

03/18/25

@ Anthropic

AI control is an approach to mitigating AI misalignment, addressing the risk that AI models may have goals that differ from human goals.