Dev participated in the MATS Summer 2024 Cohort under the mentorship of Marius Hobbhahn (CEO of Apollo Research), where he published a LessWrong post on evaluating the quality of benchmark datasets, with a focus on model-written safety evals. He previously worked as a data scientist doing supply chain optimization for large enterprises and got into AI safety by contributing to the METR Task Bounty program. After MATS, Dev served as a TA for ARENA and joined the RAND TASP Fellowship, focusing on dangerous AI capability evaluations.
The Summer 2024 cohort marked a significant expansion, supporting approximately 90 scholars with 40 mentors—the broadest mentor selection in MATS history. This cohort incorporated MATS as a 501(c)(3) nonprofit organization, formalizing its institutional structure. The program expanded its research portfolio to include at least four governance mentors alongside technical research streams, reflecting growing interest in AI policy and technical governance work. The 10-week research phase continued in Berkeley, with scholars conducting work across mechanistic interpretability, evaluations, scalable oversight, and governance research.Notable outputs from this cohort include research on targeted manipulation and deception in LLMs trained on user feedback, which was accepted to NeurIPS workshops, and contributions to an AI safety via debate paper that won best paper at ICML 2024. One scholar co-founded Decode Research, a new AI safety organization focused on building interpretability tools.
Sunishchal Dev
