pact
for RL researchers
Why this scored 5
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
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
Signal history
7-day window (free)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.
- 116
PACT: From Credit Assignment to Critic Alignment
Framework connects credit assignment techniques to critic alignment in RL. · for RL researchers
arxivSteadyai34d ago - 216
PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?
Evaluates trustworthiness of enterprise AI assistants under pressure scenarios. · for enterprise AI leads
arxivSteadyai40d ago - 311
PACT: Anonymous Credentials for the Web – Mozilla Hacks
Anonymous credentials · for security engineers
lobstersSteadysecurity102d ago