Fable LLM Accurately Predicted World Cup Finalists

A recent informal experiment tasked several large language models with predicting the outcome of the World Cup. Among the tested models, Fable demonstrated a notable predictive accuracy. It was the only LLM to correctly foresee France's exit from the tournament and accurately named both teams that would reach the final match. In contrast, other prominent models like ChatGPT, Qwen, and Kimi were only able to correctly identify one of the two finalists. This anecdotal evidence suggests Fable's superior performance in this specific predictive task, highlighting its potential for complex pattern recognition and forecasting.