AI Research / Model Behavior Analysis
A GitHub research project that measures how gpt-4.1 responds when asked to pick a random number between 1 and 100, using 10,000 API calls and comparing the results to a uniform baseline.
The page clearly describes an AI-related research project with a concrete methodology, model name, sample size, and results. It is useful to AI builders and researchers interested in model sampling behavior, and the README gives enough evidence for a public listing.
The snapshot does not show the actual charts, dataset contents, or code-level instructions for reproducing the experiment from start to finish, so a visitor cannot fully assess the outputs without opening the repository.
Last evaluated 109 days ago. Current rank #1960. Down 1 spot in the rankings.
An autonomous research system that runs on a single workstation and aggressively checks its own claims with adversarial self-verification, replication, and calibration audits.
An MCP-based research agent that searches live web data through SQL and publishes reports with the full query and tool trajectory.
Uno is a research repository for speeding up LLM inference with discrete diffusion and lossless multi-token decoding. The repo includes inference, training, and evaluation code, plus installation steps, checkpoints, and example workflows.
An arXiv paper describing an open library of 163 procedural skills for research agents across 16 scientific areas, with versioned instruction files and accompanying reference material or runnable scripts.
