Issue 3, Jan 4, 2026

The Low Initial Loss Trap

Machine Learning Engineer interview at OpenAI, and the interviewer asks:

“You kick off training for a Softmax classifier on CIFAR-10 (10 classes). In the very first iteration, your loss reads 0.05. Is this good news?”

Don’t say: “That’s amazing! The model is converging incredibly fast. The data pipeline must be super clean.”

Why a Softmax loss of 0.05 at step zero doesn’t mean your model is brilliant — it means your training pipeline is broken.

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