Johannes Treutlein
Anthropic
Anthropic
Johannes completed the MATS Summer 2022 Cohort under the mentorship of Evan Hubinger (then a Research Fellow at MIRI). As a result of MATS, Johannes co-authored the paper Conditioning Predictive Models: Risks and Strategies with Evan as a lead author. He also published a follow-up paper on Incentivizing honest performative predictions with proper scoring rules at the UAI 2023 conference. After MATS, Johannes started a PhD in Computer Science at CHAI. Since 2024, he Johannes has been working at Anthropic on alignment stress-testing.
2022 年夏季班是 MATS 首个完整规模的项目，共有 31 位学员和 7 位导师，导师来自 OpenAI、ARC、MIRI、EleutherAI 和 Aligned AI 等领先的 AI 安全机构。项目先在线开展 5 周，随后在伯克利线下进行 8 周。学员在专家导师的指导下开展独立研究，参加专题研讨，并与伯克利 AI 安全社区的同行建立联系。
MATS helped me get deeper into AI safety research by motivating me to get up to speed with current research and giving me access to mentorship from an expert in AI safety, as well as a smart and talented cohort and a large network of researchers. It also provided infrastructure such as office space in Berkeley and a generous stipend. SERI MATS worked as a matchmaker between Evan Hubinger and me and thus helped me get involved in his projects, which would have been harder to do otherwise. I feel like I have developed faster as a researcher since doing MATS.
Johannes Treutlein
