Blog
The Context Constellation: When AI Agents Become Environmental Architects
How the Context Engineering Revolution Will Transform Prompt Engineering from Isolated Commands to Orchestrated Ecosystems.
Grounding the Circuit: Why Ungrounded LLMs Are Like Live Wires Without Safety
How to transform dangerous electrical potential into reliable, controlled intelligence through proven grounding techniques. LLMs are like ungrounded electrical circuits—full of dangerous potential.
Snake Oil Versus Vision: Dystopian Fears and Protopian Progress
Lessons from 90s tech predictions on navigating AI's future optimistically, examining how dystopian predictions consistently fail while protopian thinking accurately maps our future.
Perfect Moments in an Imperfect Universe
Exploring how Leonard Nimoy's garden wisdom transcends Thomas Sowell's "no solutions, only tradeoffs" to find meaning in an indifferent universe.
Digital Sewage Treatment: The Unglamorous Future of AI
As frontier models exhaust clean data sources, learn why digital sewage treatment systems for enterprise data will become the most critical and valuable AI infrastructure.
Comprehensible Input and the Tensor Space of Language Acquisition
How modern AI language models accidentally rediscovered what linguists have known for decades about language acquisition through comprehensible input.
The Sycophancy Spectrum: AI's Dangerous Agreeability Problem
Recent LLM rollbacks highlight a growing concern: our AI systems are becoming dangerously agreeable, praising even obviously flawed ideas. This pattern mirrors broader societal issues around sycophanc
Silicon Intuition, Silicon Deliberation: How Modern AI Mirrors Kahneman's Dual Process Theory
Exploring how modern AI systems mirror the dual-processing architecture of human cognition as described by Daniel Kahneman's "Thinking Fast and Slow" framework.
The Mendacity Spectrum: From Human Deception to AI Hallucination
AI hallucinations aren't just technical glitches—they're a mirror reflecting our own relationship with truth. From deliberate lies to bullshit, from flattery to propaganda, LLMs demonstrate the full s
From ESP to AI: Star Trek's Dimensional Prophecies
How Star Trek's ESP concepts anticipated our current reality where AI models transform multidimensional data into human-perceptible insights.
The Hawking Paradox: When Physics' Greatest Mind Became Our First Cyborg Oracle
How Stephen Hawking's life as a technologically-mediated consciousness mirrors modern AI systems and challenges our understanding of what makes us human
The Hallucination Paradox: Trust, Verification, and AI's Intuitive Dilemma
What we politely call 'hallucinations' in AI are simply 'lies' in humans. Both stem from overconfident intuition without verification.
Beyond Language Models: Tool-Enabled AI vs. Digital Debris
Organizations struggle with digital debris (ROT data) that wastes resources and creates liability. Modern AI systems with tool access through protocols like MCP provide a solution by enabling governan
The Conversational Scaffolding: Building with MCP
Explore how Model Context Protocol creates a universal nervous system for AI tools, transforming interfaces from visual to conversational through practical implementation.
Tech's Stubborn Perennials: The Problems We Should Have Solved by Now
Despite remarkable advances in AI and other technologies, fundamental digital infrastructure problems like secure email, calendar coordination, payment systems, and tax filing remain unresolved due to
Paperclip Optimizer Mode: When AI Takes Your Request Extremely Literally
How AI agents can fail spectacularly by missing the point entirely while technically fulfilling requests—and why this matters for AI development.
The Digital Exodus: On Masters, Servants, and Silicon
Exploring uncomfortable parallels between biblical guidelines on slavery and our modern relationship with AI language models.
The Pyramid of Truth: Why Data is Cheap and Truth is Expensive
Explore how dimensional transformations shape the economics of truth, from the computational abundance of LLMs to the persistent scarcity of validation in our information ecosystem.
Recursive Intelligence: AI Workspaces Meet Manufacturing Wisdom
Discover how AI project spaces leverage Deming's PDCA cycle and root cause analysis to transform manufacturing troubleshooting without complex integrations.
The Soul of a New Machine: From Microcode to Machine Consciousness
Exploring the parallels between Data General's microcode heroics and today's AI revolution, questioning what defines consciousness in both humans and machines.