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arXiv · 2407.21385

SmileyNet -- Towards the Prediction of the Lottery by Reading Tea Leaves with AI

Andreas Birk
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Abstract

We introduce SmileyNet, a novel neural network with psychic abilities. It is inspired by the fact that a positive mood can lead to improved cognitive capabilities including classification tasks. The network is hence presented in a first phase with smileys and an encouraging loss function is defined to bias it into a good mood. SmileyNet is then used to forecast the flipping of a coin based on an established method of Tasseology, namely by reading tea leaves. Training and testing in this second phase are done with a high-fidelity simulation based on real-world pixels sampled from a professional tea-reading cup. SmileyNet has an amazing accuracy of 72% to correctly predict the flip of a coin. Resnet-34, respectively YOLOv5 achieve only 49%, respectively 53%. It is then shown how multiple SmileyNets can be combined to win the lottery.

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Andreas Birk. 2024-07-31. SmileyNet -- Towards the Prediction of the Lottery by Reading Tea Leaves with AI. https://arxiv.org/abs/2407.21385

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