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aientity · one source so far

qwen3.8-flashnextnvfp4

for ml engineers

Emerging

30

signal score

1

live items

Cooling

7-day est. ~0

huggingface

Why this scored 30

every term, weighted
Velocity+6.3 / 40 max

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

Acceleration+19.4 / 25 max

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

Cross-source spread+0.0 / 25 max

How many independent communities its own items come from

Recency+7.8 / 10 max

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

Saturation penalty3.3 / 30 max

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

Composite30.2

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

~0

range 012

14-day

~0

range 014

30-day

~0

range 019

Signal history

7-day window (free)

— — 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. 123

    nvidia/Qwen3.8-Flash-Next-NVFP4 (image-text-to-text)

    Nvidia launches an optimized image-text-to-text model for faster multimodal inference. — for ml engineers

    huggingfaceaiEmerging8 saturated3d ago