AI Research / Analysis / Reports
A sourced model and short report exploring whether Europe could train a sovereign frontier AI model using public compute it already owns, with reproducible code, datasets, and a PDF report.
The page clearly describes a substantive AI-adjacent research project: a sourced model plus report about frontier AI training capacity in Europe. The repository shows concrete deliverables, including the report PDF/Markdown, model code, datasets, tests, and reproducible build/run instructions. It is useful for AI researchers, infrastructure analysts, and policy readers because it includes sources, assumptions, caveats, and a runnable model.
The crawl does not show the actual PDF contents in full, so visitors cannot judge the quality of the evidence or results beyond the README summary. It also does not surface any external validation, published release, or discussion of broader adoption.
Last evaluated 122 days ago. Current rank #1832. Up 2 spots in the rankings.
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.
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.
