We are the ones doing the actual work.

Not the keynote speakers.
Not the vision-havers.

The ones still up at midnight trying to debug a hallucinated postcode or explain, again, that AI isn’t magic,
it’s maths with delusions.

We are the people who actually
understand how machine learning works,
and more importantly, how it doesn’t.

Our job isn’t to overhype.
It’s to interpret, challenge,
translate, and fix.

Sometimes reluctantly.
Always with care.