ICLR 2026 Workshop on AI with Recursive Self-Improvement
Focus: Algorithmic foundations for reliable self-improving AI systems.
Key Takeaways:
- Shift from thought experiments to deployed systems (rewriting own code, robotics controllers, product-level code).
- Scientific discovery pipelines now include automated, continual fine-tuning.
- Key research: Yang et al. (2023), Soni et al. (2024), Zhuge et al. (2024a), Starace et al. (2025), Ghasemipour et al. (2025), Novikov et al. (2025).
Workshop URL: recursive-workshop.github.io