Research / Scientific Discovery
A deterministic Python project for empirical law discovery in elementary cellular automata, with simulation, discovery, reproducibility guides, and published preprints.
The page clearly presents a real AI-adjacent research tool with a defined purpose, visible usage commands, installation steps, reproducibility notes, and multiple releases. It is useful for researchers or builders working on cellular automata, empirical discovery, or deterministic agent workflows.
The snapshot does not show the internal architecture, what the seven cycle laws are in detail, or how the discovery loop chooses worlds beyond the high-level description. It also does not provide concrete output examples or a simple end-to-end walkthrough from install to results.
Last evaluated 18 days ago. Current rank #283. Up 2 spots in the rankings.
An interactive dashboard that analyzes New York Times coverage since 2000 using the NYT Archive API, with views for reporters, beats, sections, subjects, geography, obituaries, and corrections.
An open benchmark and leaderboard for AI CAD agents, with 308 prompts across 20 categories and layered scoring for geometry, engineering, manufacturability, and cognition.
A research article from Applied Compute on how agentic, tool-using workloads differ from traditional LLM benchmarks, with production observations, workload profiles, and an open-source harness for replaying traces.
UnderstandDocs is a document analysis tool that summarizes pasted text or uploaded files, flags risks, extracts important dates, and simplifies dense language. The page shows a working analysis form, supported file types, a privacy/no-storage claim, and an example output for a tenancy agreement.
