No AI betting system operates without risk — that is not how probability works. What an AI betting system can do is reduce risk to its mathematical minimum: the inherent variance of a positive-EV strategy applied over a large sample. Risk in betting comes in two forms: the variance risk of a genuinely profitable system (temporary losing runs that are expected by probability), and the model risk of a miscalibrated system (a losing strategy that incorrectly presents itself as winning). AI prediction platforms address model risk through transparent calibration data; bankroll management addresses
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