The thread from here to there

You started with a transistor. A switch, on or off.

From switches you built logic gates. From logic gates, arithmetic and memory. From arithmetic and memory, programs. From programs, early attempts at intelligence, and failure, and new attempts, and more failure, and slow progress.

From that progress: an artificial neuron. A perceptron. Backpropagation. Deep networks. GPUs. A dataset of more than a million labelled images. A model that could classify pictures far better than earlier systems.

And then: a way to represent language as vectors. A mechanism that lets tokens weight relevant tokens. An architecture that scaled. Models trained on large, selected collections of human writing and code.

A model that generates token by token and can translate, write code, explain patterns, and attempt multi-step problems, with uneven reliability.

The thread is unbroken. Each step has a mechanism, a training process, and human choices around it. Scale made the consequences harder to predict, not supernatural.

What you do with that understanding is up to you.