When Everyone Can Build, What Becomes Valuable?
AI is making software and intelligent machines easier to build. As capability becomes abundant, value shifts to trust, integration, judgment, and adoption.
Blog
Technical articles on systems engineering, AI, operations research, quality and reliability, and industrial systems.
© 2026 Javad Seif. All rights reserved. This writing is original work and may not be reproduced or republished without permission.
Every Model Is a Projection
A shadow can be physically accurate and still lead us to infer a creature that never existed. What does this tell us about probability distributions, optimization models, simulations, and the limits of the frameworks we use?
From Blanket LLM Access to Specific AI Services (SAIS)
LLM access alone does not create organizational value. The current phase of AI adoption focuses on Specific AI Services (SAIS): tools built around defined workflows, human judgment, measurable outcomes, and transparent costs.
Consensus Is Not Truth: The Iconic Landmark Problem in Research and Everyday Prompts
What's been published or said most often is not necessarily what's accurate or complete. Mistaking "most common" for "true" is becoming a real problem.
In Optimization, LLM Translates. Humans Define.
If you give AI a well-written operations research problem, it will produce the mathematical formulation instantly, which is impressive. But who decided what the problem actually is?
When Reality Is Forced to Fit the Model
Models are simplified perspectives on reality, much like shadows. They become dangerous when their limitations distort our understanding or begin to reshape the systems they were meant to describe.