MediumAI ML

Walk me through your favorite paper

1Give yourself 5 minutes

2Answer out loud, not in your head

3Then compare with the answer below

Reference answer

Pick a non-canonical paper. Frame: gap → insight → evidence → limitations → what I'd do next. For example: cite "When Scaling Meets LLM Finetuning" (DeepMind, 2024) on the multiplicative joint scaling law, walk through the surrogate loss decomposition, and explain why a multiplicative form beats additive for transfer. End with the explicit caveat: small-model fine-tune curves do not always predict frontier scaling.

Then expect these follow-ups

"What would you do differently?
" and "What experiment would you run tomorrow?

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