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

July 31, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Andreas Birk arXiv ID 2407.21385 Category cs.AI: Artificial Intelligence Cross-listed cs.CV, cs.CY, cs.LG, cs.RO Citations 0 Venue arXiv.org Last Checked 4 months ago
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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