Announcements
The Nvidia–Groq Transaction: Architecture, Power, and The Consolidation of Inference
AI's bottleneck isn't compute—it's memory. GPUs sit idle 99% of the time during inference, waiting for data. Groq proved deterministic architectures can solve this. Nvidia's response? Strategic absorption. By integrating Groq's approach into Rubin, Nvidia closes the inference gap.
The Sovereignty Trap: How Enterprises Lose Control Through Their Tools
Sovereignty isn't lost in one decision, it’s transferred in a thousand integrations. Control resides not in data ownership, but in who owns the logic that decides what to do with it. Stop drifting into dependence on multi-tenant logic.
Meta's $2 Billion Bet on the Future of Work: Inside the Manus Acquisition
Meta built the world's best open-weight AI brain (Llama) but had no hands. Manus gives AI agents actual computers—VMs that can code, browse, and execute workflows. $2B+ acquisition. The Agent Era just got real.
When the Rules Are Wrong: Governing the Override in AI-Native Enterprises
The biggest paradox of AI sovereignty: the more successfully you encode intent into rules, the more catastrophically you fail when those rules diverge from reality. Enterprises that survive won't eliminate exceptions, they'll design for legitimate override from the start.
Why Do AI Innovation Pipelines Fail Without Sovereignty Design
AI innovation often fails not because the models are weak, but because companies have not decided who or what should make decisions. This article examines why sovereignty, rather than speed, is the key factor between pilot projects and reliable, large-scale results.