Everything on R&D Strategy

Practical adoption of theoretical protocols depends on rigorous benchmarks that demonstrate efficiency and reliability in real-world conditions.

Impact: Guides investment toward solutions that balance mathematical guarantees with performance, ensuring commercial viability.

— from PBFT, Modularity, and AI: Liskov's Blueprint for Distributed Systems · web3 with a16z crypto· Jun 22, 2026

DeepMind's shift to a six-month research publication lag marks a decisive move from open academic collaboration to proprietary IP protection, accelerating commercial deployment cycles.

Impact: Protects Google's technological edge and prevents competitors from free-riding on breakthrough research, enhancing monetization potential.

— from Google's AI Resurgence: Ecosystem Power vs. Talent Risks · FT Tech Tonic· May 13, 2026