Local alternative
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Details →★ 21,612
jev-inner-speech-bci
A reproducible benchmark connecting Jev semantic priors with intracortical inner-speech BCI decoding.
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-21
- GitHub stars
- 1
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
That question led us to [Jev], TypeSafe's System One model for typed judgments, choices, probabilities, and confidence. Jev looked interesting for a BCI because it can act as a structured semantic prior: application context proposes likely goals, neural evidence supplies the user's choice, and ordinary code decides whether there is enough evidence to act.
Evidence commit: f5090f297125caf0d88e65feaefc3b2f8d8643b1
Discovered through: github-search.
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