Back to collectionResearch
Open AI and Institutional Networks Need Defined Evidence
Visible participants and downloadable weights do not establish shared control.
Published Updated
The capital-markets discussion names Apex Group, DTCC, Fidelity International, Galaxy, SGX FX and SIX among participants across different workflows; it does not establish one shared product, investment or commitment. The parallel AI analysis distinguishes downloadable weights from accountable execution. Self-hosting can change where data resides without proving which model version ran or what permissions it used. Useful records identify input access, inference location, log retention and the evidence shared with each counterparty, while keeping unrelated private content out of the public record.