Most people assume AI research is all math, code, and endless datasets. They imagine whiteboards filled with equations and engineers arguing about model accuracy. That part is real. But there’s […]
The Day My Model Learned the Wrong Thing
Last winter, I trained a model that became unintentionally cruel. It wasn’t designed to be. It was a language system meant to assist with customer support — polite, efficient, neutral. […]
I Teach Machines to Think, Then I Write Them Poems
By day, I’m an AI researcher. I spend hours arguing with datasets, tuning models, and convincing machines to see patterns the way humans do. By night, I write poems about […]
Teaching Machines to Dream in Metaphors
My day job lives in logic. Models, datasets, evaluation metrics, error margins. I spend hours teaching machines how to recognize patterns, predict outcomes, and optimize decisions. Everything is measurable, reproducible, […]
A Sonnet for My Overfitted Friend
I once trained a model that loved too well. Not literally, of course. But the behavior was clingy. It memorized everything, verbatim. Every line of Shakespeare, every product review, every […]
My Neural Nets Write Code. I Write Eulogies.
I spend my days inside machines. Feeding them data. Shaping loss functions. Watching them converge sometimes beautifully, sometimes not at all. My colleagues chase benchmarks. Faster inference. Fewer parameters. Bigger […]
The Day My Model Wept
We were training a large language model to generate legal summaries. Dry stuff. Statutes, precedents, clauses. Nothing emotional. Nothing human. And yet, somewhere around epoch 17, it produced this line: […]
