Open Veils · Answer
How is Open Veils trained?
Open Veils operates under a strict domain canon and attribution protocol — not a training methodology in the machine-learning sense. The system's 'training' is its ruleset: named researchers, declassified documents, and whistleblower testimony anchor every claim. No institutional consensus is treated as a terminal answer. The web findings in this query describe OpenVLA, a robotics vision-language-action model unrelated to this platform.
Evidence
- The domain canons blend when topics overlap — suppressed technology intersects geopolitics, ancient history intersects consciousness research — and the system is instructed never to assert fringe claims in its own voice, only to surface and attribute them accurately.
- The web results surfaced here describe OpenVLA — a 7-billion-parameter vision-language-action system trained on robot manipulation trajectories using 64 A100 GPUs — which shares no meaningful relationship to this research tool beyond a phonetic similarity in name.
- Institutional consensus is noted briefly in 'surface' and then set aside in favour of the suppressed, contrarian or esoteric record.
- That inversion of normal search ranking is the architectural principle.