Research Leader as Portfolio Allocator
A research org wins by concentrating compute on a few big bets and disbanding the rest — not by letting a bottom-up credit market allocate it.
Luan frames the research-leader job as a portfolio allocator: coalesce smart people around a small number of good ideas, run them to the finish line, then nudge resources toward what is working and disband what is not. The named anti-pattern is Google's "Brain Credit Marketplace" — every researcher held compute credits, so a giant training run required convincing 19–20 colleagues to give up theirs. That bottom-up structure stopped Google reaching GPT-3 critical mass despite inventing the Transformer and having Noam Shazeer pushing trillion-parameter models. OpenAI won "simply because we took big swings and we focused."
- Treat leadership as portfolio allocation: back a few ideas, run them to the finish, cut the rest.
- Bottom-up compute credit markets prevent the critical mass that scaling laws reward.
- Big swings plus focus beat a thousand under-resourced ideas.
Luan led Google's LLM effort and co-led Google Brain for a year, then contrasted that bottom-up structure with the focus-and-concentrate model he pushed as a research leader at OpenAI.