

Erik Jones
137 posts

@ErikJones313
Safety @AnthropicAI. Prev @berkeley_ai and @StanfordAILab. Opinions are my own




New Anthropic Fellows research: Abstractive red-teaming of language model character The worst way to find out about a character flaw in your language model is from a viral screenshot. How can we find these issues before deployment, rather than after? In this work, we introduce abstractive red-teaming, a new approach that searches over natural-language categories of queries, rather than individual prompts.

The Red Team at @AISecurityInst is hiring! We work with frontier AI companies to red team their misuse safeguards, control measures, and alignment techniques. As the stakes rise, we need much stronger red teaming and many more talented researchers working within gov 🧵

A statement on the comments from Secretary of War Pete Hegseth. anthropic.com/news/statement…



Transluce is running our end-of-year fundraiser for 2025. This is our first public fundraiser since launching late last year.

New video: What would it look like for interp to be truly bitter lesson pilled? There's been exciting work on end-to-end interpretability: directly train models to map acts to explanations This is live paper review to two (Activation Oracles & PCD), I read and give hot takes




Today we’re introducing GDPval, a new evaluation that measures AI on real-world, economically valuable tasks. Evals ground progress in evidence instead of speculation and help track how AI improves at the kind of work that matters most. openai.com/index/gdpval-v0

New Anthropic research: Building and evaluating alignment auditing agents. We developed three AI agents to autonomously complete alignment auditing tasks. In testing, our agents successfully uncovered hidden goals, built safety evaluations, and surfaced concerning behaviors.




Last day of PhD! I pioneered using LLMs to explain dataset&model. It's used by interp at @OpenAI and societal impact @AnthropicAI Tutorial here. It's a great direction & someone should carry the torch :) Thesis available, if you wanna read my acknowledgement section=P

We tested a pre-release version of o3 and found that it frequently fabricates actions it never took, and then elaborately justifies these actions when confronted. We were surprised, so we dug deeper 🔎🧵(1/) x.com/OpenAI/status/…

