This week was the grunt work: grinding through the long list of missing operations, with almost all now implemented.
Also switched to a more expensive coding model (GPT 5.3 Codex), which was an improvement, but there were still a few clear fails—specifically around the model taking "shortcuts" with spec logic.
First, the least relevant metric: LOC. Almost doubled from 7k to 12k in a week.
Current WPT pass rate, compared to the default integration of rustnn (pywebnn) is at: https://gist.github.com/gterzian/95371d56468390177982c068480...
This week was the grunt work: grinding through the long list of missing operations, with almost all now implemented.
Also switched to a more expensive coding model (GPT 5.3 Codex), which was an improvement, but there were still a few clear fails—specifically around the model taking "shortcuts" with spec logic.