Toronto.
144 seconds · authored in code

One prompt, end to end

What is the capital of Ontario?

Toronto.

Between those two lines a language model does a specific, finite amount of work. This film follows all of it — seven tokens in, one token out — and draws each stage at the point where it actually happens.

Composed entirely in code. Every token ID on screen was measured, not estimated.

What4827
·is382
·the290
·capital9029
·of328
·Ontario35113
?30

o200k_base · 200,019 entries · the dot marks a leading space

The film

1920 × 1080 30 fps 144.000 s Narrated · captioned

Contents

Seven stages

The order is the pipeline's own. Select a stage to jump the film to it.

Accuracy

What was measured

Verified

The prompt is seven tokens under o200k_base, checked with tiktoken rather than assumed.

Toronto is a single token, id 151837. With a leading space it is 27812. The period is 13. Its bytes are 54 6f 72 6f 6e 74 6f.

Toronto is in fact the capital of Ontario.

Deliberately not measured

The probability bars carry no numeric labels. Those values were never measured, so the panel shows relative height only and says so on screen.

The embedding strip is labelled schematic.

Architecture is given as a range — 32 to 80 blocks — so no single vendor's configuration is implied.

Corrections

Three things the outline had wrong

The brief this was built from described the pipeline in a way that does not match how current models run. The film says so on screen.

Speculative decoding is not a stage

It is not a step between softmax and de-tokenizing. It wraps the whole forward-pass loop, which is why scene seven is drawn as a bracket around stages 02 to 04 rather than a box after them.

Position does not enter at embedding

GPT-2 added learned positional embeddings at that layer. Llama, Qwen and Mistral apply RoPE to Q and K inside each attention layer. The embedding scene leaves that slot visibly empty and the next one fills it.

The block is stacked, not singular

There is no one transformer block. There are dozens, identical, each doing the same thing to a slightly different signal — drawn with the residual spine that runs through all of them.

Colophon

Composition
HTML and GSAP, rendered with HyperFrames
Narration
Kokoro, voice bf_emma, ten segments mixed to a single timeline
Captions
Word-synced with Whisper, four mishearings corrected by hand
Sound
Deterministic FFmpeg drone
Type
League Gothic and JetBrains Mono
Master
1920 × 1080, 30 fps, 144.000 s, H.264

Created by

Junior Williams

Founder, Junior Williams Consulting Inc. — enterprise architecture, cyber risk, and AI governance.