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aientity · one source so far

openbmb

for ml engineers, researchers

Steadyhuggingface
Signal score
0
as of 6d ago
Live items
1
Trajectory
↓ Cooling
7-day est. ~0

Why this scored 0

every term, weighted
Velocity+0.0 / 40

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

Acceleration+11.9 / 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−19.5 / 30

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

Composite-7.5 → clamped to 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

~0

range 0–12

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
06

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
    2

    openbmb/UltraData-Stack-v3-L2 (dataset)

    OpenBMB releases UltraData-Stack-v3-L2 dataset for code pretraining research. · for ml researchers

    huggingfaceSteadydata−10 saturated8d ago
  2. 2
    0

    openbmb/UltraData-Code (dataset)

    A synthetic code dataset for LLM pretraining may boost code generation performance. · for ml researchers, data scientists

    huggingfaceSteadydata−14 saturated48d ago
  3. 3
    0

    openbmb/MiniCPM-V-4.7-35B-A3B (image-text-to-text)

    OpenBMB releases MiniCPM-V model for image-to-text generation. · for ml engineers, researchers

    huggingfaceSteadyai−18 saturated13d ago
  4. 4
    0

    openbmb/UltraData-RL-2609 (dataset)

    Introduces UltraData-RL-2609 dataset for reinforcement-learning LLM fine-tuning. · for ML researchers

    huggingfaceSteadydata−14 saturated49d ago
  5. 5
    0

    openbmb/UltraData-SFT-Agent-2609 (dataset)

    New UltraData SFT dataset enables supervised fine-tuning of LLM agents for better performance. · for ml engineers, AI researchers

    huggingfaceSteadyai−15 saturated48d ago