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 »
This article demystifies CUDA by explaining what it actually abstracts, when GPUs help, when they don’t, and why most GPU waste is architectural, not algorithmic..
CUDA Without the Marketing: What You Actually Need to Know Read More »
This article explores how data science evolves into AI when models give way to systems, and intelligence emerges from reasoning, feedback, and design.
From Models to Systems: When Data Science Becomes AI Read More »
