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aientity · one source so far

jepa

for vision model architects

Steadyarxiv
Signal score
10
as of 11d 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 penalty1.8 / 30

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

Composite9.7

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

    Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Models

    Expands vision transformer capacity based on task complexity for JEPA world models. · for vision model architects

    arxivSteadyai14d ago
  2. 2
    6

    LeMario: Training a JEPA World Model on Super Mario Bros

    World model training · for ai devs

    hackernewsSteadyai57d ago