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aientity · one source so far

qwen3.8-flash

for ml engineers, research scientists

Steadyhuggingface
Signal score
20
Live items
1
Trajectory
Cooling
7-day est. ~6

Why this scored 20

every term, weighted
Velocity+2.6 / 40

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

Acceleration+13.0 / 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+7.8 / 10

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

Saturation penalty3.5 / 30

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

Composite20.0

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

Outlook

low confidence · estimate, not a guarantee

7-day

~6

range 018

14-day

~0

range 014

30-day

~0

range 019

Signal history

7-day window (free)
654

projected trajectory (estimate, not a guarantee)

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
    0

    ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF (image-text-to-text)

    Quantized Qwen 3.8 model delivers fast image-text generation on low-end hardware. · for ml engineers, research scientists

    huggingfaceSteadyai16 saturated3d ago