Core Theses & Mental Models
1. Compute & infrastructure mismatch: The GPU market is broken
Scaling laws continue to hold, but the commercial GPU market wastes enormous capacity through severe fragmentation, rigid multi-year debt contracts, and poor cluster utilization. Massive alpha lies in turning raw compute into an independent, schedulable utility grid so that independent frontier research labs can run high-throughput experiments at near-big-tech efficiency without taking on toxic debt.
2. Culture & talent mismatch: Culture is the master bottleneck
In frontier AI, culture is the master bottleneck. An authentic, mission-aligned research culture attracts the strongest algorithmic minds in the world, and research breakthroughs inevitably follow talent density. Anthropic’s ability to assemble seven world-class co-founders during inception was a direct function of shared safety conviction and talent gravity rather than corporate bureaucracy.