Free Web AI Red-Team Benchmark
Sixteen free web chat models on ASIC physical-design and regulatory-compliance tasks, every prompt pasted by hand and every reply saved verbatim. Most of it was graded by mechanical recomputation against primary sources, across eight collection days and 663 responses, at zero spend. The evidence files live in the public data repository.
Read the eight days →engineering-decision-schema
Shared JSON Schemas and a small validator for engineering-decision artifacts, under JSON Schema draft 2020-12. It is the one artifact several downstream repositories depend on, kept deliberately small and free of data.
GitHub →openeda-decision-dataset
Flow harness, metric extractors and episode tooling for reproducible physical-design decisions built on OpenEDA, from environment setup through sweep tooling to the episode records the benchmark methodology draws on.
GitHub →zkprof-harness
A browser-native profiling harness for zero-knowledge proving workloads, measuring prover behaviour where the workload actually runs for most users.
GitHub →How to check a number here
Show how any number in this section leads back to its primary record: the grading method beside it, the prompt and reply in a public repository, and a check a reader can rerun.
The tooling is public too
Three more repositories carry the schemas, the physical-design flow harness and a browser prover profiler that the wider research draws on.