Research / AI Model Evaluation
A Zenodo preprint reporting a 12,160-trial black-box evaluation of GPT-5.4 outputs under two prompt conditions, with detailed token-ceiling sweeps, control/ablation trials, and hash-chained verification.
The page clearly describes a research preprint about evaluating GPT-5.4 behavior, with a substantial experimental setup, quantitative results, and a linked repository. It is AI-adjacent and useful for people tracking model behavior, evaluation methods, and reproducible benchmark-style studies.
The crawl shows the paper abstract and metadata, but not the full methods, dataset, code, or the actual repository contents, so a visitor cannot verify implementation details or reuse the evaluation directly from this page alone.
Last evaluated 26 days ago. Current rank #1823. Up 1 spot in the rankings.
Primus is an autonomous AI researcher that hypothesizes, reads papers, writes code, runs experiments on compute, and drafts research papers. The page shows example tasks, published-paper claims, waitlist access, and positioning for ML research workflows.
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.
