A machine learns a child's distinction — left from right.
Episode 1 reconstructs a single day: the July 1958 press demonstration where a borrowed IBM 704, running Rosenblatt's perceptron program, taught itself to tell left-marked punch cards from right-marked ones in about fifty tries.
The proof lived in a stack of punch cards and a simple program. Guess left or right. When the guess was wrong, the machine rewrote its own numbers; when it was right, it left them alone. After enough cards, the guesses stopped being wrong.
That error-correction rule is the seed of machine learning — published the same year in Rosenblatt's Psychological Review paper, and still recognizable inside every neural network running today.
The Navy's interest was practical: the Office of Naval Research funded the work hoping for a machine that could read aerial photographs. The press release promised more — a machine that would "walk, talk, see, write, reproduce itself and be conscious of its existence."
The claim outran the cardboard. That gap — between what the machine did and what the headline said — is the story the series tells across four episodes.