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aientity · one source so far

system one

for AI researchers, ML engineers

Steadydevto
Signal score
4
as of 19d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 4

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+11.3 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−7.8 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite3.5

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)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

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.

  1. 1
    42

    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
  2. 2
    35

    Introducing System One Models & Jev

    Launches new AI models, giving developers fresh capabilities for integration. · for ml engineers, data scientists

    lobstersSteady 3 · jevai46d ago
  3. 3
    33

    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
  4. 4
    31

    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
  5. 5
    18

    You Should Know About System One Models

    Learn System One model characteristics to improve integration and performance. · for AI researchers, ML engineers

    devtoSteadyai22d ago
  6. 6
    15

    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
  7. 7
    13

    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
  8. 8
    12

    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
  9. 9
    8

    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