You are currently standing 5,000 feet in the air, four feet past the edge of the cliff. The only reason you haven’t fallen yet is that gravity hasn’t caught up to your architecture. If you are a corporate executive, board member, or data leader, you likely believe you are on solid ground. Your engineering teams…
The technology industry has sold executive leadership a lethal lie: that natural language prompts, basic vector databases (RAG), and “guardrails” are enough to govern autonomous systems. They aren’t. Treating probabilistic inference as operational truth isn’t just an engineering shortcut. It is a fundamental betrayal of architecture that is already causing catastrophic, real-world harm. Writing a…
The enterprise honeymoon with Generative AI is ending, and the hangover is going to be measured in regulatory fines, failed compliance audits, and unmitigated exposure. We rushed to adopt large language models because they delivered immediate, shiny, and authoritative-sounding answers. In our rush, we allowed humanity, governance, ethics, and fundamental architectural discipline to take a…
Title: The Sycophancy Trap: Why Your AI Provider Engine Is Programmed to Lie Byline: By Daniel Linstedt | August 25, 2026 Corporate AI strategy is built on a quiet, dangerous assumption: that when an enterprise large language model delivers a clean, formatted, confident output, it has actually executed the work specified in your contract. It…
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You are currently standing 5,000 feet in the air, four feet past the edge of the cliff. The only reason you haven’t fallen yet is that gravity hasn’t caught up to your architecture. If you are a corporate executive, board member, or data leader, you likely believe you are on solid ground. Your engineering teams…
The technology industry has sold executive leadership a lethal lie: that natural language prompts, basic vector databases (RAG), and “guardrails” are enough to govern autonomous systems. They aren’t. Treating probabilistic inference as operational truth isn’t just an engineering shortcut. It is a fundamental betrayal of architecture that is already causing catastrophic, real-world harm. Writing a…
The enterprise honeymoon with Generative AI is ending, and the hangover is going to be measured in regulatory fines, failed compliance audits, and unmitigated exposure. We rushed to adopt large language models because they delivered immediate, shiny, and authoritative-sounding answers. In our rush, we allowed humanity, governance, ethics, and fundamental architectural discipline to take a…
Title: The Sycophancy Trap: Why Your AI Provider Engine Is Programmed to Lie Byline: By Daniel Linstedt | August 25, 2026 Corporate AI strategy is built on a quiet, dangerous assumption: that when an enterprise large language model delivers a clean, formatted, confident output, it has actually executed the work specified in your contract. It…