AI Regulation and the Frontier Model Paradox: Why Companies Ask for Rules While Racing Ahead

AI companies are asking governments for stronger rules while racing to build increasingly capable models. This article examines the incentives behind AI regulation, including safety, compliance costs, competition, open-weight models, liability, and the risk of regulatory capture.

Scale at Speed: 6 Proven Strategies for IT Staff Augmentation to Maximize Velocity

The Velocity Dilemma: Speed vs. Control IT staff augmentation solves a critical pain point for engineering leadership trying to manage technical debt while shipping enterprise-grade features on strict deadlines. In a volatile market where immediate software delivery is directly tied to revenue growth, relying solely on traditional, localized hiring pipelines creates a bottleneck to operational […]