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aientity · one source so far

arcagi3

for ml engineers, ai researchers

Steadyhackernews
Signal score
0
as of 4d ago
Live items
1
Trajectory
Steady
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+11.3 / 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+0.0 / 10

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

Saturation penalty15.0 / 30

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

Composite-3.7 → 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 012

14-day

~0

range 014

30-day

~0

range 019

Signal history

7-day window (free)
01

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
    33

    OpenAI's GPT-6 Astra on ARC-AGI-3

    OpenAI announced GPT-6 Astra, a new model targeting ARC-AGI-3 benchmarks. · for ml engineers, ai researchers

    hackernewsSteady 3 · openaiai7d ago
  2. 2
    29

    Nvidia AVO scores 100% on the ARC-AGI-3 interactive reasoning benchmark

    Nvidia AVO hits 100% on ARC-AGI-3 reasoning benchmark, showing strong interactive AI capability. · for ai researchers, ML engineers

    hackernewsSteady 2 · nvidiaai18d ago
  3. 3
    17

    How a Strands agent took Claude Opus 5 from 30% to 99.95% on ARC-AGI-3

    Strands agent boosted Claude Opus 5 performance to 99.95% on ARC-AGI-3 benchmark. · for ai researchers, ml engineers

    devtoSteadyai13d ago
  4. 4
    6

    Schema Harness Achieves ~99% on Arc‑AGI‑3 Public

    AI model achievement · for ai researchers

    hackernewsSteadyai55d ago