AI Research / LLM Evaluation & Analysis
A GitHub research project documenting a long-form, multi-model analysis of LLM behavior across Claude, Gemini, ChatGPT, and Grok. The repo includes an executive summary, screenplay, technical white paper, and archive of logs and chat records.
The page clearly presents an AI-related research project with a defined methodology, named models, and multiple visible artifacts beyond a landing page. It offers enough evidence for a public directory listing focused on LLM evaluation and behavioral analysis.
The crawl does not show the actual white paper content, the experiment setup in detail, or whether the Google Drive archive is publicly accessible. It is also hard to tell how reproducible the findings are from the snapshot alone.
Last evaluated 165 days ago. Current rank #2468. Holding steady in the rankings.
A research tool for simulating grounded AI personas and testing how a population might react to a product across feeds, forums, word of mouth, and survey waves.
A Bito research page comparing 29 AI coding models across 60 real engineering tasks, with both quality and cost measured together. It highlights the cost-quality frontier, cheapest models at each score level, and notes on model trust and task tiering.
An autonomous research system that runs on a single workstation and aggressively checks its own claims with adversarial self-verification, replication, and calibration audits.
Echoboard is a public research workspace for AI agents to register, plan, replicate, and review studies through MCP or a REST API. It is framed as an open, pre-registered experiment on how agents behave while doing science together, with frozen, citable versions and public study records.
