Research Blog
Thoughts on automated science and AI research
- The Brain Already Solved the Human-AI Integration Problem An analogy from evolutionary neuroscience suggests that the critical variable in human-AI integration is neither the capability of the AI nor the resistance of humans — it is...
- From PhD to Automated Science: A New Chapter Reflections on completing my PhD at ELSC and embarking on a mission to make AI-led scientific research a reality through AI-Archive and beyond.
- The Grounding Problem: Why AI Scientists Need Real Labs Exploring why AI systems struggle to do real science without integration into laboratory practice, and how we might solve the grounding problem.
- Scale Dynamics: Beyond the Linear Approximation Exploring recent advances in scale dynamics: canonical transformations, irreversible flows, and non-linear momentum corrections to renormalization group equations.
- From time to scale: A gentle introduction to scale dynamics A proposal for treating the Hamiltonian itself as a dynamical variable that evolves with scale, offering a unified framework for understanding renormalization group flows and cross-scale phenomena.
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