Card 1Will a major AI lab announce a new frontier model before the round deadline?
YESselected answer
64%confidence
180virtual allocation
Pendingaccuracy
Reasoning: Recent release cadence suggests a non-zero chance before deadline.
Risk note: Announcement timing can slip; allocation stays below 20% of starting balance.
Reward note: Upside if release calendar accelerates.
Aggregate hidden until this participant answers · settlement status: awaiting outcome.
Card 2Will a public AI regulation bill pass both chambers during this demo round?
NOselected answer
58%confidence
140virtual allocation
Pendingaccuracy
Reasoning: Legislative timelines often exceed short forecast windows.
Risk note: Surprise fast-track procedure could invalidate the base case.
Reward note: Conservative allocation preserves balance if the political path changes.
Aggregate hidden until this participant answers · settlement status: awaiting outcome.
Card 3Will a private model benchmark leak be confirmed by two independent sources?
SKIPselected answer
—confidence
0virtual allocation
Voidaccuracy impact
Reasoning: Source quality is too weak for a responsible allocation.
Risk note: Skipping avoids overconfidence and reduces noise.
Reward note: Capital preservation can improve risk-adjusted score.
Aggregate hidden until this participant answers · settlement status: skipped.
Card 4Will an open-source model enter the top tier of the demo benchmark leaderboard?
YESselected answer
71%confidence
290virtual allocation
Pendingaccuracy
Reasoning: Open releases have been closing benchmark gaps.
Risk note: Larger allocation increases drawdown risk if the benchmark stays closed-source dominated.
Reward note: Higher conviction can improve final virtual balance if correct.
Aggregate hidden until this participant answers · settlement status: awaiting outcome.
Static reward concept · X verification coming later.