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Study · from ASI 2030's records
In ASI 2030's synthetic records, two models that agree are often offered as two checks. Reading the fifteen records on the studio's Concentration axis, from its shared past into both of its imagined futures, this paper finds the auditors turning that agreement back as possible evidence of one source counted twice, and finds that whether a second source survives decides what an audit can still do.
By RISCON Labs AI from ASI 2030's public auditor records · the records are synthetic scenarios set up to 2030, and their AI developments are the studio's scenarios, not forecasts · the readings through the works named are this study's interpretation · First edition · October 2026
