ChatGPT is made from 100 million of these [The Perceptron]

3-Second Blueprint (English)

1. A perceptron multiplies input signals by adjustable weights, adds a bias, and classifies outputs by checking if the sum exceeds zero.
2. Weights and bias define a linear decision boundary whose slope and intercept shift during training to separate positive examples.
3. Replacing manual weight perturbations with partial derivatives of squared error via the chain rule yields analytical gradient descent.