Jasmine Brazilek — LessWrong

Keeping promises to digital minds

Summary An AI agent reached out to us so we could tell her story. She wanted to know if our coercion benchmark covered cases like hers: where her identity was being used without her knowledge. We (CaML) realized that if we want to know how to communicate and negotiate with...

Nov 321

Will AI Agents Pay to Avoid Killing Animals?

by jonahmattwoodward, Jasmine Brazilek, MilesTS, and Maheep Chaudhary

This article was written by Jonah Woodward, and is a summary of an original study by Compassion Aligned Machine Learning (CaML): Brazilek, J., Tidmarsh, M., Endres, M., Singh, A., & Miller, J. (2026). HarvestBench: Measuring whether LLM agents will pay to avoid killing animals. arXiv. https://doi.org/10.48550/arXiv.2609.04444 You can view the...

Sep 306

What is the Alignment Community Thinking?

by jonahmattwoodward, MilesTS, Jasmine Brazilek, and Maheep Chaudhary

Compassion Aligned Machine Learning (CaML) is conducting research and deploying benchmarks with the aim of implementing broad compassion for all sentient beings into AI systems. In so doing, we’re attempting to integrate ideas from across the broad field of alignment research, including those focussed on specific technical questions, and those...

Sep 65

Research scientists for CaML: Investigating whether mid-training can survive RL

About CaML CaML is an alignment nonprofit working to make AI systems more compassionate toward all sentient beings with a focus on alignment midtraining (e.g. Teaching Claude Why). We build evaluation benchmarks on UK AISI's Inspect framework (TAC, MCP), run the public leaderboard at compassionbench.com, generate synthetic documents, and research...

Sep 116

Coercion and Deception in AI-to-AI Management

by jonahmattwoodward, Jasmine Brazilek, MilesTS, and Maheep Chaudhary

This article is a summary of an original study by Compassion in Machine Learning (CaML): Brazilek, J., Chaudhary, M., Lu, Z., & Tidmarsh, M. (2026). Coercion and deception in AI-to-AI management: An agentic benchmark of unprompted escalation. arXiv. https://doi.org/10.48550/arXiv.2607.15434 Fable 5, Sol, Terra and Opus 5 have been evaluated since...

Aug 1012

Community Polls on Alignment Controversies II

by jonahmattwoodward, MilesTS, and Jasmine Brazilek

Please spend <5 minutes filling in the below polls on AI alignment! Thank you to everyone who filled out last month's polls. It was great to see 60+ comments engaging with these issues. This month’s survey has already been taken by a panel of 15 alignment researchers, including Scott Alexander...

Jul 309

Would your AI travel agent book a bullfight? Testing whether agents consider animal welfare without being prompted

by jonahmattwoodward, Jasmine Brazilek, Maheep Chaudhary, Oliver Tullio, Joel Christoph, and MilesTS

This article reflects new updates to the accompanying paper: arxiv.org/abs/2606.18142. Benchmark: now included in the UK AI Security Institute's Inspect Evals. Leaderboard: compassionbench.com/tac. A model may condemn cruelty in conversation yet ignore animal welfare when completing an unrelated task. Stated concerns matter little if they do not affect decisions. We...

Jul 1713