Meno studies how a system of humans and AI can produce beliefs that track the world, rather than settling into a self-consistent equilibrium the world had nothing to do with. This site is the entry point to each project: what it asks, what it is trying to establish, and what is still open.
Each project page below is an overview. The pages beneath it carry the formalism, the experimental lines and the results, and most of those require a passcode.
Projects
| Project | Status | People |
|---|---|---|
| Human Study | active | Tianyi, Changbai, Zhonghao, Rachel, Riza, David |
| Martingale Training | active | Zhonghao, Tianyi, Maxwell, Yuhe, Ahmed |
| Learning from a Learner (LFL) | active | Tianyi, Zhonghao |
| Recursive Co-Improvement | active | Zhonghao, Tianyi |
| Reflection Game | active | Zhonghao, Tianyi |
| Psychohistorians | active | Tianyi, MenoClaw |
| Site & Web Apps | active | Tianyi, Zhonghao, lcb931023 |
| Lock-in Hypothesis | shipped | Tianyi, Zhonghao |
Docs
- Authorship Inclusion Policy — who is included as an author on a paper, and who is acknowledged instead.
- Managing Many Parallel Experiment Runs — the convention every project’s run log follows.
- Multimodal Data for Human Intent — a pre-project memo on whether the algorithmic and data-side approaches to reading human intent can share a benchmark.