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RSI-Jev

Shanghua-Gao/RSI-Jev · Homepage

Typed-decision models trained by a self-improving AI loop.

Automated README summary

Automatically summarized from the README on 10 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

RSI-Jev builds Jev-style System One models that answer yes/no, pick-one-of-k, or rate-on-a-rubric questions about a document, chat, or image. It publishes checkpoints, training code, and every failed experiment.

How it uses Jev

The project trains models to answer Noul, Choice, and Score questions on the same POST /v1/systemone wire format as Jev. One forward pass returns a calibrated probability for every option. The README does not describe using Jev itself; it describes building a trainable replica.

Primitives:noulchoicescore

Technique worth stealing

Self-improving loop where agents register predictions before GPU runs and retire champions when evidence says to.

Try it

pip install "rsi-jev[fast,vision] @ git+https://github.com/Shanghua-Gao/RSI-Jev" then rsi-jev serve v6.1-vl-4b --effort auto --port 8000

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.94
  • Shows a System One patternFound in material0.95
  • Describes handling uncertaintyunclear0.47
  • Reports measured numbersFound in material0.97
  • Is a runnable toolnot found in the excerpt0.28
  • Top-10 learning shortlist signalnot found in the excerpt0.39
  • Is a replica of the modelFound in material0.96
  • Solves a common problem (0–2)score on a 0–2 scale0.82 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.94Shows a System One pattern0.95Describes handling uncertainty0.47Reports measured numbers0.97Is a runnable tool0.28Top-10 learning shortlist signal0.39Is a replica of the model0.9600.51Solves a common problem (0–2)0.82 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.93Traffic light0.73Check-up0.70Grey zone0.46Scorecard0.40Thermostat0.34Funnel0.2000.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 10 Oct 2026.