2:07:14Everything About Machine Learning Explained Slowly (For Sleep)
The entire history of machine learning told slowly and in order, from Ramon Llull's rotating discs and Ada Lovelace's objection to the multimodal systems hundreds of millions of people use today. Cosmo Explains walks the mechanisms as well as the people: how a McCulloch Pitts neuron computes, how Rosenblatt made one learn, why XOR broke the perceptron and froze the field, how backpropagation uses the chain rule to assign blame three layers deep, why overfitting made SVMs and maximum margins the respectable choice for two decades, and how data, GPUs and a few simple architectural tricks converged on AlexNet in 2012. From there it is ResNet's skip connection, the transformer throwing away recurrence, next word prediction buying grammar and reasoning for free, CLIP and diffusion, and finally Goodhart's law and the alignment problem. The register is built for sleep; the content is a full course.
