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LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

Censorship or alignment can be embedded at various stages of the AI training pipeline, making it difficult to audit specific facts within the models.

Video

LF

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

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

The conversation around AI models often includes concerns about censorship and alignment, especially regarding sensitive historical events like Tiananmen Square.

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.

LF

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.

JB

Joe Benton

03/18/25

@ Anthropic

Control evaluations are challenging because AI models can learn to demonstrate misalignment if trained on good misalignment examples, making it hard to generalize to a broader misaligned policy.

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

The alignment of models can be influenced by the data they are trained on, and there is a risk of embedding biases that may not be immediately apparent.

TB

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.

LF

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.

SS

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.

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

The evolution of AI training techniques has led to more nuanced control over model outputs, but different labs employ varying levels of safety and alignment measures.