Taylor Swift Bot Source Code

Confidential documents obtained from a highly-plausible source (aka, a Reddit thread from u/throwaway1234) reveal that Taylor Swift's AI-powered songwriting algorithm is actually a complex system of neural networks, genetic algorithms, and a dash of astrology.

Code Snippets:

					// Importing the required libraries
					import numpy as np
					import pandas as pd
					import matplotlib as plt
					import scipy as sp
					import sklearn as sk
					import torch as t
					import torchvision as tv
					import torchvision.transforms as tr

					// Defining the songwriting neural network
					class SongWriter(nn.Module):
						def __init__(self):
							super().__init__()
							self.linear = nn.Linear(128, 128)
							self.activation = nn.ReLU()
							self.output = nn.Linear(128, 1)

						def forward(self, x):
							x = self.linear(x)
							x = self.activation(x)
							x = self.output(x)
							return x

					// Training the model
					song_writer = SongWriter()
					loss_fn = nn.MSELoss()
					optimizer = optim.Adam(song_writer.parameters(), lr=0.01)
					for epoch in range(100):
						for x, y in zip(train_data, train_labels):
							x = x.to(DEVICE)
							y = y.to(DEVICE)
							optimizer.zero_grad()
							y_pred = song_writer(x)
							loss = loss_fn(y_pred, y)
							loss.backward()
							optimizer.step()
							print(f"Loss at epoch {epoch}: {loss.item()}")