Epstein didn’t just rape children; he turned it into a horror show.
A survivor claims Epstein attacked her in 1984 when she was just 14, after drugging her so badly she drifted in and out of consciousness… and when she came to, his face was painted like a clown.
Because apparently being a predator wasn’t grotesque enough, he had to turn it into a nightmare circus act too.
File: EFTA01249622
Bill Gates withdraws from AI summit amid controversy over Epstein files 🤔
Our agents found 2095 mentions in the scanned files so far. You can explore all the connections using our app.
We need the truth 👀
$UNREDACTED
🚨PRINCE ANDREW ARRESTED IN EPSTEIN CONNECTIONS🚨
Well the first Domino has fallen. This sets precedent for the rest of the world to follow suit.
This is a small victory, but an elite finally is going down. We did it. Keep up the pressure. We can’t stop now. 🙏🏼
4 specialized AI agents, each with a different job. One extracts entities. One maps relationships with strength scores. One builds timelines with criminal indicators. One analyzes what was redacted and hypothesizes why.
Each one has strict output formats, requires citations back to the source text, and scores its own confidence. 13 automated tests validate every prompt against live documents.
We need the truth👀
Each group has a signature - how much of it is people vs. organizations vs. locations.
Some clusters are almost entirely names. Others are heavy on institutions. That tells you something about what kind of network it is.
We need the truth👁️
This matrix shows which clusters share documents with each other - and which ones don't overlap at all.
The bright squares are groups that keep showing up in each other's files. The dark gaps are worlds that never touch.
We need the truth👁️
Every name the engine finds, plotted by when it first appeared during processing.
You can see the moments new batches of documents hit - and who suddenly shows up.
We need the truth👁️
"These two appear in the same files a lot" is one thing.
"These two appear together more than statistics say they should" is a different question. The purple squares are the surprising ones.
We need the truth👁️
Top 30 entity pairs by shared documents.
Green = we already mapped a connection. Red = no connection on file.
Look at how much red there is.
We need the truth👁️
The real question isn’t what we found in the Epstein documents.
It’s whether investigation tools should ever be centralized again.
The $UNREDACTED model is going public.
Pipeline. Agents. Graph analysis. Logs.
Run it yourself.
Fork it.
Point it at any corpus.
Watch what happens when scale stops protecting anyone.
We need the truth👀
Every entity gets two importance scores - one from how often it appears, one from its position in the network.
Some names show up constantly but sit at the edges. Others appear rarely but connect groups that otherwise never overlap.
The engine catches both. The second kind is usually more interesting.
We need the truth👁️
The Epstein files are public.
Our investigation model won’t stay private either.
We’re preparing to open-source the agents, the embedding layer, the clustering logic, and the logging spine.
Not screenshots.
Not summaries.
The actual framework that processes millions of pages.
We need the truth 👁
We ran the clustering 20 times with different starting conditions to see what holds up.
One group stayed together 91% of the time. Others fell apart completely. We only report the ones that survived.
We need the truth👁️
183 clusters found in the entity network so far. Each color is a group. Each line is a shared document.
This is from Wave 1 - about 4,000 files. There are 5.3 million to go.
We need the truth👁️
Every relationship we surface from the Epstein corpus is traceable to source.
Every entity scored.
Every cluster stability-tested.
Soon, you won’t just see outputs.
You’ll see the machinery.
We need the truth👀