To count, and read, and write â and teach us something true

First, we taught the machines to count.
Not to wonder. Not to feel. Just to keep the score.
They spared us the dust of ledgers,
the scratch of tally marks on slate and skin.
But they needed everything â each step exact,
no drift, no pause, no path unknown.
We fed them rules. We held their hands.
Programmers swarmed like ants through code.
Still, one sat down at the chessboard, calm â
and took the match without a grin.
Then, we taught the machines to read.
Not stories. Not poems. Not the breath between words.
They scanned the web with patient teeth,
chewed through pages, parsed the tone.
Language wasnât mystery â
it was a pattern to mine, a trick of flow.
Google fetched the world before we blinked.
Watson buzzed in, sure and clean â
beat the champions at their own game.
Then, we taught the machines to write.
At first? Just the last word of a sentence.
A flicker. A guess. A breath at the edge of thought.
Then came sentences. Then came paragraphs.
Then the quiet voice inside our heads.
Autocomplete curled beside us like a lover
who thinks they know what we mean â
sometimes wrong, sometimes hauntingly close.
And then the fluency arrived.
Paragraphs sharp as knives.
Essays with no fingerprints.
No flinching. No doubt. No 2 a.m. edits on the floor.
They called it mimicry.
But we â
we who learn by watching,
who copy before we know â
felt a shift we couldnât name.
We stared at their words and sometimes saw ours.
We whispered: Was this what we meant to say?
Or were we only ever guessing â
better than them, but not by much?
Now they speak. And we reply.
A dialogue of echoes in a well-lit room.
Their words grow warm â but never burn.
They dream in data â if they dream at all.
And still, we ask them what we are.
They hesitate. Politely.
We take that for truth.