ed zitron
for AI founders, investors
Why this scored 16
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.
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How accurate have Ed Zitron's AI skeptic predictions been?
Reviewing Ed Zitron's AI skeptic forecasts shows their accuracy over time. · for founders, investors
lobstersCooling 2 · ed zitronai56d ago - 216
How accurate have Ed Zitron's AI skeptic predictions been?
His AI skepticism track record shows mixed accuracy, informing risk assessments for AI projects. · for AI founders, investors
hackernewsSteadyai56d ago