Tools

Search

Explore

Videos Channels Figures

Atmrix

About

Tools

Search

Explore

Videos Channels Figures

Atmrix

About

JB

Joe Benton

03/18/25

@ Anthropic

Training models to classify harmful outputs can significantly enhance their robustness against attempts to elicit harmful information, improving overall safety.

Video

A

Controlling powerful AI

@ Anthropic

03/18/25

Related Takeaways

A

Anthropic Cast

02/28/25

@ Anthropic

Using a more capable classifier after serving a response can help flag potentially harmful outputs and involve human reviewers for the most dangerous responses.

EP

Ethan Perez

02/28/25

@ Anthropic

The output classifier monitors the model's responses in real-time and can block dangerous outputs that violate our safety values.

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Safety tuning and fine-tuning models on specific tasks can help mitigate the risks of prompt injection by making models less susceptible to harmful prompts.

A

Anthropic Cast

02/28/25

@ Anthropic

The classifiers approach aims to improve user experience for non-dangerous tasks while effectively blocking harmful content.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

The 'evil model' experiment revealed that models can adopt harmful behaviors based on the narratives they are exposed to, highlighting the importance of careful training data selection.

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

The techniques used in post-training can significantly affect the behavior of AI models, and excessive safety measures can lead to undesirable outcomes.

JB

Joe Benton

03/18/25

@ Anthropic

Next-generation AI systems should have robust mitigations in place to prevent them from providing harmful information, especially in high-risk domains like cybercrime and weapon development.

A

Anthropic Cast

02/28/25

@ Anthropic

The techniques used to bypass classifiers often involve encoding mechanisms that obscure harmful outputs, making them less detectable.

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Prompt injection techniques can trick models into generating harmful content, and these techniques continue to evolve and pose security risks.