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aientity · one source so far

arcagi1

for AI researchers, ML engineers

Steadylobsters
Signal score
2
as of 39d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 2

every term, weighted
Velocity+0.0 / 40

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

Acceleration+8.0 / 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−6.0 / 30

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

Composite2.0

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
    17

    44% on ARC-AGI-1 in 67 cents

    ARC-AGI-1 achieved 44% performance while costing only 67 cents per run. · for AI researchers, ML engineers

    lobstersSteadyai40d ago
  2. 2
    0

    arc-task-gen — Generates original ARC-AGI-1-style tasks distribution-matched to the public eval set.

    New task generator · for ai researchers

    githubSteadyai−20 saturated61d ago