Outlet headline
Coinbase on Thursday reported that cybercriminals bribed overseas support agents to steal customer data to use in social engineering attacks.
Each model reads the same question separately: whether the quote from the source says what the fact states. A person reads when the models have no clear majority.
An open-weights model we deploy ourselves. It only accepts what the quote states plainly, nothing that has to be assumed.
An open-weights model we deploy ourselves. It only accepts what the quote states plainly, nothing that has to be assumed.
An open-weights model that does not write. It only answers whether the quote supports the fact or not.
A model from an outside provider, with the same instruction and without seeing the other readings.
A model from an outside provider, with the same instruction and without seeing the other readings.
A model from an outside provider, with the same instruction and without seeing the other readings.
A person on the team reads the quote without seeing what the models said and signs their reading. When it exists, it decides the badge.
No human reading. The models agreed by a clear majority. A person reads only when there is none.
Scandals and image crises
Primary risk vectorLitigation2
Each tag opens that narrative for the same company in the radar.
It is the only fact in this thread for now.
Every signal cites its source. If it cannot be audited, the data does not exist.
Mandate 03 · Non-Negotiable Traceability →
curl https://revsignlab.com/en/senal/e115f883-d01c-4f88-8b43-85d97fa7ee3a/json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "obtener_senal",
"arguments": {
"id": "e115f883-d01c-4f88-8b43-85d97fa7ee3a"
}
}
}