The thought stayed with me longer than I expected.
Maybe I could pause for a moment.
Take a proper breath.
Maybe I could learn this new language everyone is whispering about—AI.
For years I believed I had missed the train. Ten years of life had gone into raising children, managing home, showing up for family. The career ladder quietly slipped out of sight somewhere in that decade.
And then this strange new feeling arrived.
What if those ten years were not a gap… but training?
Raising children teaches a peculiar skill set.
Patience when logic fails.
Creativity when instructions don’t work.
Endless debugging of tiny human systems called toddlers.
In hindsight, parenting feels suspiciously similar to guiding an ML model.
You observe patterns.
You guide behaviour.
You repeat instructions with minor adjustments until the output improves.
Parents have been training intelligence long before machines started doing it.
The difference is that our models occasionally throw toys instead of data errors.
For a while, I believed AI would close doors for people like me.
Now I’m starting to suspect it might quietly open a few.
Because when you step into a room where everyone understands the technology but very few understand people… the person who understands both becomes rather interesting.
Perhaps even dangerous.
Not dangerous in the dramatic sense.
Dangerous in the sense that learning is no longer limited by age, career gaps, or old definitions of productivity.
The game changed while many of us were busy living life.
And maybe that’s the twist.
The years spent raising families didn’t remove us from the future.
They trained us for it.
The real question now isn’t whether AI will replace us.
The better question might be:
What happens when the people who raised humans start learning how to train machines?
— Divyadeep Kaur Arora
Little Questions, Loud Thoughts