ai-tech
The Cybersecurity Model Paradox: Why Anthropic's Mythos Forces Us to Rethink AI Safety
Anthropic built its reputation on AI safety, yet released Mythos—a model capable of finding zero-day exploits. This contradiction reveals a deeper tension: the
Dream Engine: When AI Learns to Dream
A journal entry about the moment an AI operations layer gained the ability to learn autonomously — not through training, but through dreaming. How memory consolidation became skill synthesis.
The Great AI Liability Dodge: Why 'Entertainment Purposes Only' Should Terrify Enterprise Users
Microsoft's Copilot terms of service reveal a troubling pattern across AI companies: they're deploying tools into critical business workflows while legally disc
The ORCA Thesis: Building AI That Learns to Exist
A founder's journal documenting the journey of building a distributed AI operations layer that remembers, sees, delegates, dreams, and evolves — proof of work from one builder and his AI fleet.
The Agentic Grinding Machine: Why AI Coding Assistants Are Optimizing for Persistence, Not Intelligence
Matt Webb's observation that 'agents grind problems into dust' through brute-force iteration reveals a fundamental tension in AI development: we're building sys
The One-Man Army: Why Solo Builders Are the Future
In an age of AI-powered development, a single builder with the right tools can outship entire teams. Here's why — and what it means for the future of work.
The Agentic Coding Paradox: Why AI's Infinite Persistence Might Be Its Greatest Weakness
Matt Webb's observation that AI agents 'grind problems into dust' through brute-force iteration reveals a fundamental tension in software development: unlimited
The Collapse of the 10x Developer: Why AI Tools Are Reshaping Software's Class System
Examines how AI coding assistants and autonomous agents are fundamentally disrupting the traditional hierarchy in software development—not by replacing develope