As frontier models scale, intelligence no longer scales by default. This article explores the shift toward earned intelligence – why systems design, context management, and operational governance now matter more than raw parameter counts.
Earned Intelligence: The Frontier Model Shift Shaping 2026 Read More »
An in-depth analysis of Google I/O 2026 exploring how Search, Gemini, agents, commerce, and interfaces are evolving into operational intelligence systems and shaping the rise of the agentic internet.
Google I/O 2026 and the Rise of the Agentic Internet Read More »
A DataGuy manifesto defining earned intelligence, the system-level properties AI must have in 2026 to survive scale, scrutiny, and real-world use.
Earned Intelligence: The Only Kind That Scales in 2026 Read More »
A year-end DataGuy manifesto on why AI in 2025 revealed the limits of scale, context, autonomy, and control – and why systems, not models, defined what actually mattered.
What Actually Mattered in AI in 2025 Read More »
This article explores how code assistants are evolving into knowledge systems, reshaping how organizations retrieve, preserve, and trust institutional memory.
The Quiet Rise of Code Assistants as Knowledge Systems Read More »
This article examines why agentic systems fail without governance, and how orchestration frameworks like NVIDIA NeMo make control explicit rather than accidental.
Building Agents Without Losing Control: Inside NVIDIA NeMo Read More »
