Research Engineering — Roadmap

1. How to Read AI Papers

• The structure: abstract -> problem -> prior work -> method -> architecture -> dataset -> experiment -> ablation -> limitations -> reproduce -> extend
• What to extract from each section, and what to skip on a first pass
• Reproducing a result vs. extending one

2. The Paper Timeline

• The lineage from AlexNet through modern LLMs, connected to where each architecture is covered on this site
• How to place a new paper you encounter into this lineage

Next: Interview Prep — where research literacy becomes a specific, testable interview skill (research-scientist-track interviews in particular).