Built using historical data, horse racing theory and expert strategies, the HorseGPT model made a number of unsuccessful predictions. He thought one horse in particular would take first place, but he finished last.
But there was a glimmer of hope. When HorseGPT was given the task of selecting the top four finishers in order, they suggested two “outsiders” for the fourth spot. One of them failed the mission, but the second, Mystic Dan, unexpectedly emerged victorious.
Interestingly, HorseGPT’s losing predictions for first place matched the predictions of many human experts. This suggests that AI can mimic existing biases in horse racing analysis.
Source: Ferra
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