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aientity · one source so far

qwenputer

for ml engineers

Steadyhuggingface
Signal score
12
Live items
1
Trajectory
↓ Cooling
7-day est. ~0

Why this scored 12

every term, weighted
Velocity+0.0 / 40

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

Acceleration+12.3 / 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+5.8 / 10

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

Saturation penalty−6.2 / 30

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

Composite11.9

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

medium confidence · estimate, not a guarantee

7-day

~0

range 0–12

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
066

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
    16

    Qwenputer: A functioning, deterministic RISC-V CPU inside Qwen3.5

    Deterministic RISC-V CPU in Qwen3.5 allows reproducible inference on edge devices. · for ai hardware engineers, ml infrastructure teams

    hackernewsSteadyhardware5d ago
  2. 2

    Emerging signal detected — locked

    huggingfaceai