Can frontier AI agents achieve Recursive Self-Improvement by turning a weak method into one that performs better on hidden data? Introducing RSI-Exam 🧵: 88 executable research tasks across 6 domains, now open for task contributions from every field🧑‍🔬. Its task bank spans virtual cells, TPU kernels, chip design, quantitative finance, agent harnesses, model distillation, and much more. Across these tasks, every rollout follows the same core protocol: 🔁 An agent inherits a working method and iterates using visible data. 🔒 Only its final artifact enters a fresh-container evaluation on the hidden set. 📊 The result so far: Opus 5 leads the 88-task leaderboard with a mean hidden-set score of 0.464. 📢 Want to help build the next release? Author an executable task, review one, or audit a rollout. Substantial contributions qualify for paper authorship. Special thanks to @XinyeYee for the tremendous effort in leading this project. Explore: Blog: Contribute: GitHub:

Can frontier AI agents achieve Recursive Self-Improvement by turning a weak method into one that performs better on hidden data? Introducing RSI-Exam 🧵: 88 executable research tasks across 6 domains, now open for task contributions from every field🧑‍🔬. Its task bank spans virtual cells, TPU kernels, chip design, quantitative finance, agent harnesses, model distillation, and much more. Across these tasks, every rollout follows the same core protocol: 🔁 An agent inherits a working method and iterates using visible data. 🔒 Only its final artifact enters a fresh-container evaluation on the hidden set. 📊 The result so far: Opus 5 leads the 88-task leaderboard with a mean hidden-set score of 0.464. 📢 Want to help build the next release? Author an executable task, review one, or audit a rollout. Substantial contributions qualify for paper authorship. Special thanks to @XinyeYee for the tremendous effort in leading this project. Explore: Blog: Contribute: GitHub:

Can frontier AI agents achieve Recursive Self-Improvement by turning a weak method into one that performs better on hidden data? Introducing RSI-Exam 🧵: 88 executable research tasks across 6 domains, now open for task contributions from every field🧑‍🔬. Its task bank spans virtual cells, TPU kernels, chip design, quantitative finance, agent harnesses, model distillation, and much more. Across these tasks, every rollout follows the same core protocol: 🔁 An agent inherits a working method and iterates using visible data. 🔒 Only its final artifact enters a fresh-container evaluation on the hidden set. 📊 The result so far: Opus 5 leads the 88-task leaderboard with a mean hidden-set score of 0.464. 📢 Want to help build the next release? Author an executable task, review one, or audit a rollout. Substantial contributions qualify for paper authorship. Special thanks to @XinyeYee for the tremendous effort in leading this project. Explore: Blog: Contribute: GitHub:

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models.