Automated README summary
Automatically summarized from the README on 3 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
S1CogBench evaluates System One (typed decision) models like Jev, Laya, and Intern-Decision on established cognitive experiments, scoring human-response prediction, autonomous execution, and event probabilities separately for researchers and engineers.
How it uses Jev
Jev 1.14 is evaluated via an API adapter across all 27 modes. Each task's runner presents the task state and legal options; Jev returns a typed decision, which the original scorer compares against human responses and reference baselines. The README does not detail Jev's internal question types.
Primitives:choice
Technique worth stealing
Separating task conditions and scoring from disclosed adaptations, and scoring human-response prediction, autonomous execution, and event probabilities independently.
Try it
Run `python -m s1cogbench eval --smoke --output runs/smoke` after installing requirements and fetching public sources.
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-1.14.0- Project signals
jev-1.14.0- Category
jev-1.14.0- Pattern tags
jev-1.14.0
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 projectnot found in the excerpt0.06
- Shows a System One patternnot found in the excerpt0.10
- Describes handling uncertaintynot found in the excerpt0.02
- Reports measured numbersnot found in the excerpt0.03
- Is a runnable toolnot found in the excerpt0.09
- Top-10 learning shortlist signalnot found in the excerpt0.09
- Is a replica of the modelnot found in the excerpt0.06
- Solves a common problem (0–2)score on a 0–2 scale1.40 / 2
- About JevFound in material0.98
no-judgment band (0.40–0.60)
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 3 Nov 2026.