vlm
for computer vision devs
Steady8
signal score
1
live items
→ Steady
7-day est. ~7
Why this scored 8
every term, weightedEngagement per hour, normalized against the fastest item on its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities are talking about the same entity
Decays to zero over 14 days
Subtracted once something is big and old — we rank what's next, not what's peaked
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement. Full methodology
Outlook
low confidence · estimate, not a guarantee7-day
~7
range 6–7
14-day
~6
range 6–6
30-day
~6
range 5–6
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.
- 19
Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs
Image tampering detection — for computer vision devs
arxivaiSteady6d ago - 27
More with Less: a Large Scale Remote Sensing VLM with a Simple Recipe
Scales remote sensing — for geospatial analysts
arxivaiSteady7d ago