1. Invest in Projects, Not Papers

Long-term impact and the ability to communicate the big picture matter more than paper count. Structure research around open-source artifacts — models, systems, frameworks, or benchmarks.

2. Choose Timely, High-Headroom, High-Fanout Problems

Three criteria: (1) Timeliness — problems that will be hot in 2-3 years, (2) Fanout — results that affect multiple sub-problems, (3) Headroom — potential for 20x speed or 30% effectiveness improvements.

3. Think Two Steps Ahead and Iterate Fast

Don't settle for the obvious approach. Predict where it will hit limits and research solutions in advance. Test early and get feedback quickly.

4. Publicize Your Research and Lead Idea Popularization

Don't just publish — communicate the big picture repeatedly across multiple contexts. Good ideas need multiple exposures to be absorbed.

5. Grow Open-Source Research: Connect Interest to Community

Build projects that are usable, useful, and accessible. Milestones progress from reproducibility to community growth to modular sub-projects.

6. Keep Investing Through New Papers

Open-source projects provide intuition for new problems, attract collaborators, and enable effective distribution of research results.