AI Agents can now automate scientific analyses that took years in mere hours. Excited to announce our new pre-print on automating the data analysis process using Artificial Intelligence in High Energy Physics and Particle Physics. With @softcollinear, Andrzej Novak, Dolores Garcia, and Phil Harris we show that just furnishing context (#JFC) with a thorough methodology is enough for AI agents to autonomously perform a HEP analysis end-to-end, complete with a planning, exploration, execution, statistical analysis, all performed by AI agents. Each step reviewed by more AI agents and looped as long as necessary. We discuss prospects on how the field should evolve given the increasing power of AI models. Attached in the appendices/linked on GitHub are not only the review-ready analysis notes, but we also publish the full, reproducible codebase for each analysis with tracked history, setting a benchmark for openness and replicability in HEP. Check out the pre-print: arxiv.org/abs/2603.20179 it’s a fun read and an exciting time to be in #AIforScience! @MIT @MIT_Physics @AnthropicAI @claudeai @iaifi_news @CERN #AIRevolution #ClaudeCode #AIAgents
