← The AI Pilot
The AI Pilot · № 17

Trainer

Trained a model from scratch on a meaningful task, even small. You built the pipeline end-to-end.

The idea

Training from scratch teaches your kid that models aren't magic, they're statistics. Pick a small dataset, a simple task, build the pipeline end-to-end. The point isn't building GPT-5. It's seeing every step: data prep, architecture, loss curve, training loop, evaluation. After this, every AI product they touch makes a different kind of sense because they know what's actually happening under the API.

Steps
  1. Pick a small, meaningful task.
  2. Build the pipeline: data, architecture, training loop, eval.
  3. Train. Document loss curves and choices.
  4. Write up the result honestly.
What counts

A model trained from scratch on a meaningful task with full pipeline documentation. The training writeup is plenty.