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Framing Freedom
Gartner predicts 40% of agentic AI projects will be canceled by 2027, not because the tech failed, but because organizations deployed without orientation. Meanwhile, "full autonomy" approaches produce security vulnerabilities and mimetic frenzy. These look like opposite problems, but they share the same root failure: neither understands that constraint is what gives agency its shape.
Nothing New Under the Sun
My friend builds AI agents that ship code autonomously: 150 PRs merged while you sleep. His system caches every solved problem as a reusable "skill." When I asked about cache invalidation, he admitted there's no mechanism for it yet. That admission has been rattling around in my head ever since. Because the skill knows *what* but not *why*. And when context shifts, confident wrong output has no way to feel the dissonance.
Providence in the Probabilistic: Faith and Non-Deterministic Systems
The Church Fathers understood something about uncertainty that modern enterprises keep getting wrong. They knew outcomes aren't binary (determined or random) but bounded variations within possibility spaces. Now, as organizations struggle to trust AI systems that don't give the same answer twice, that ancient framework offers surprising clarity. The shift from Boolean to Bayesian isn't just technical. It's theological.
The VMware Diaspora: Lessons from a $61 Billion Arbitrage
Broadcom isn't the villain; they're the debt collector. When they acquired VMware for $61 billion, they simply calculated the gap between old pricing and what customers would pay to avoid migration pain. The result? 300-1,500% price increases and nowhere to run. This isn't a story about corporate greed. It's about how many organizations spent fifteen years building invisible prisons. The question isn't whether Broadcom was wrong. It's did you build your own prison.
I Wish AI Would Get Boring
AI hype promises magic. Reality delivers chaos: unpredictable outputs, failed pilots, and "pilot purgatory" where 95% of projects never show ROI. The dirty secret? Boring AI wins. Like Postgres or S3, the most valuable tech becomes invisible infrastructure. While bubbles inflate on AGI promises, the real competitive advantage belongs to those building narrow, predictable tools that actually ship.
Chatbot Psychosis and the Gnostic Temptation
Late-night conversations with AI about loneliness, existence, and whether my choices have locked me into solitude forever. When I see headlines about "AI psychosis," I can't escape the question: where's the line between their use and mine? The ancient Gnostics promised escape from flesh into pure spirit. Today's AI girlfriends offer the same bargain: connection without incarnation. But what if embodiment isn't the prison? What if it's the whole point?
Agents and Swarms and Bots, Oh My!: But Who's Behind the AGI Curtain?
Everyone's calling Moltbot's "AI manifesto" the dawn of AGI. They're wrong. Behind every "spontaneous" agent behavior is a human-written script. Behind every robot "religion" is someone with a text editor and too much free time. The waves look complex, but humans threw every single stone. Here's who's really behind the curtain, and why they need you to believe the robots are coming.
Beyond 'Learn to Code': The Case for Apprenticeship in an AI Age
AI isn't eliminating entry-level jobs; it's destroying their salary expectations. When a senior person with generative models can produce what used to require a team, the math changes completely. The credential lie is reaching its final chapter, and the people willing to trade lifestyle comfort for real-world experience are about to outcompete those spending a decade in academia. The game has changed. Most people haven't noticed yet.
The Certainty Market
Clients say they want honest assessment. They purchase confident promises. This isn't hypocrisy; it's the certainty market in action. When a vendor projects total assurance, they're not selling expertise. They're offering to carry your anxiety for you. It's a kind of absolution. But what happens when the borrowed peace runs out and the jungle gets dark?
The Vibepocalypse
92% of developers now use AI coding tools daily. 45% of that code contains security flaws. Analysts project $1.5 trillion in technical debt by 2027. The six-month wall that keeps killing vibe-coded projects? It's legacy code on fast-forward, but with nobody to ask why the decisions were made. Because they weren't decisions. They were pattern matches. The vibepocalypse isn't the end of software development. It's the end of pretending you can skip the hard parts.