system one
for AI researchers, ML engineers
Why this scored 4
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Signal history
7-day window (free)The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
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How to Use Jev: A practical guide to TypeSafe's System One model
Guide shows how to apply Jev's System One model for type-safe AI pipelines. · for ml engineers, data scientists
devtoSteady 3 · jevai44d ago - 235
Introducing System One Models & Jev
Launches new AI models, giving developers fresh capabilities for integration. · for ml engineers, data scientists
lobstersSteady 3 · jevai46d ago - 333
Introducing System One Models and Jev
New System One models and Jev aim to simplify AI integration for developers. · for ml engineers, founders
hackernewsSteady 3 · jevai48d ago - 431
Toward System One Clinical Intelligence: Parameter-Efficient Fine-Tuning and Counterfactual Explainability of Decision Foundation Models
Explores parameter-efficient fine-tuning and counterfactual explainability for clinical models. · for healthcare AI developers
arxivSteady 2 · system oneai20d ago - 518
You Should Know About System One Models
Learn System One model characteristics to improve integration and performance. · for AI researchers, ML engineers
devtoSteadyai22d ago - 615
von — The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
Open-source System One provides sub-15ms local decision model as a drop-in for TypeSafe Jev. · for ml engineers, backend developers
githubSteady 5 · jevai−17 saturated41d ago - 713
awesome-jev-tools — A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
Curated Jev tool list and TypeSafe AI's System One model for typed decisions. · for web devs
githubSteady 3 · jevai−16 saturated43d ago - 812
awesome-jev — A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decis
Curated list highlights projects built with Jev and TypeSafe AI's System One model. · for ml engineers, lLM developers
githubSteady 4 · jevai−19 saturated43d ago - 98
awesome-jev — 1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated l
Curated list of 1,207 resources for Jev decision model aids research and implementation. · for ai researchers
githubSteady 2 · jevai−17 saturated36d ago