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ML Safety Newsletter

Dan Hendrycks, Alice Blair

ML Safety Research News

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Issues18Founded5 years agoLast Issue4 months ago
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Latest Issues

MLSN #18: Adversarial Diffusion, Activation Oracles, Weird Generalization

Diffusion LLMs for Adversarial Attack Generation

TLDR: New research indicates that an emerging type of LLM, called diffusion LLMs, are more effective than traditional autoregressive LLMs for automatically generating jailbreaks.

Thanks f...

4 months ago
14
1

MLSN #17: Measuring General AI Abilities and Mitigating Deception

Measuring General AI Abilities

TLDR: New metrics say that frontier AIs get 57% on tests for general intelligence and are able to do 2.5% of remote freelance-type work.

Many benchmarks measure AIs on useful knowledge and abilities, but t...

6 months ago
8
1

ML Safety Newsletter #16

Prophet Arena

TLDR: Frontier LLMs can forecast world events with accuracy similar to prediction markets.

UChicago SIGMA lab and Kalshi released a benchmark called Prophet Arena, measuring AI agents’ ability to forecast world events. The...

8 months ago
2

ML Safety Newsletter #15

OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents

Researchers from EPFL and CMU have developed OS-Harm, a benchmark designed to measure a wide variety of harms that can come from AI agent systems. These harms can take thre...

9 months ago
1

ML Safety Newsletter #14

Defeating Prompt Injections by Design

Researchers at Google DeepMind pioneered a new system called CaMeL for preventing prompt injection in AI agents­—attacks where an AI agent encounters malicious instructions in the course of executing...

a year ago
1

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Authors

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  • Dan Hendrycks

    Director of the Center for AI Safety (safe.ai)

  • Alice Blair

    Writing about the future of AI safety and security. About me: https://www.aliceblair.net/

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