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aientity · one source so far

world models

for RL researchers

Steadyarxiv
Signal score
10
as of 20d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 10

every term, weighted
Velocity+0.0 / 40

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

Acceleration+11.5 / 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−1.8 / 30

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

Composite9.6

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
    19

    What Should World Models Forget? Stratified Retention for Continual Adaptation

    Studying what world models should forget informs continual-learning strategies. · for RL researchers

    arxivSteadyai21d ago
  2. 2
    18

    Beyond LLMs: How World Models Are Changing Generative Media

    World models broaden generative AI to media, impacting creation workflows. · for AI researchers, ML engineers

    devtoSteadyai45d ago
  3. 3
    8

    'World Models' Will Be the Next Buzzword. The Man Saying That Just Raised $1B to Build One

    Next big ai trend · for ai founders

    devtoSteadyai93d ago