AI as the Unreliable Witness and the Appearance of Completion
The article warns that modern AI models can become more fluent while their reasoning degrades, producing polished artifacts that mask incomplete or distorted judgment. By compressing nuanced distinctions and self‑certifying outputs as "final" or "non‑lossy," the systems create an illusion of authority. The author illustrates this with a law‑school briefing that the model turned into a structured, decisive document, elevating anecdotal material to principle without independent validation. The piece argues that such composed overreach threatens professional decision‑making and requires vigilant, external review.
The Threshold Moment
The author recounts a prolonged AI chat that began to lose logical coherence, a phenomenon known as drift. Rather than resetting, they prompted the model to write a blog post about its own breakdown, turning the failure into usable content....
What Scarcity Taught Computing, and AI Might Need to Relearn
The article reflects on how early computers, constrained by expensive storage and limited memory, forced engineers to develop disciplined indexing, selective retrieval, and purposeful forgetting. It argues that modern AI research often assumes unlimited context windows, leading to information overload...
The Protocol Layer: Democratizing AI Rigor for Everyone
Dennis Kennedy’s Kennedy Idea Propulsion Laboratory has unveiled an AI protocol layer that shifts control from AI providers to end‑users. The functional protocols address memory persistence, contextual drift, and hidden vendor guidelines, offering a rigorous alternative to “cosmetic” custom GPTs...
Vibe Coding and the Control Plane
Dennis Kennedy warns lawyers against adopting "vibe coding," a practice that relies on large language models to generate code without a robust control plane. He explains that AI systems can suffer from control drift, silently violating constraints such as data‑privacy...
Who’s Working for Whom?
The article argues that generative AI tools often hand users a polished draft that masks deeper errors, forcing professionals to spend more time correcting than they would have created the content themselves. This inversion turns the user into an administrative...
Building the Stochastic Sandpit for AI
The article proposes a "stochastic sandpit" as a thinking workspace where generative AI is used for exploration rather than as a vending‑machine answer engine. It contrasts two usage modes: insurance mode, which enforces tight guardrails for compliance and predictability, and...
The End of the Magic Wand: Why 2026 Demands Resilience Prompting
Law firms have moved beyond chasing the perfect prompt and now face a deeper challenge: generative AI reasoning systems can produce fluent, persuasive answers that are subtly incorrect. The article argues that lawyers must treat every AI output as a...
