Coherence Featured Coherence Confirmed: LLMs Aren't Thinking, They're Coherent LLMs aren’t reasoning—they’re aligning. A new ICLR paper backs my theory: coherence, not cognition, drives meaning. These models flow through context, not thought. That shift changes how we prompt, evaluate, and design with AI.
Utility Featured Coherence, Not Cognition: Rethinking How LLMs Help Us Think LLMs don’t recall facts—they reconstruct meaning. This blog introduces “coherence reconstruction,” a practical theory explaining why LLMs feel useful even when wrong—by simulating thought-like patterns that amplify human reasoning and creativity.
Architecture Architect the Right Problem: Why Thinking Is the New Engineering In the AI era, code is no longer the bottleneck—problem framing is. This blog explores why the highest-leverage skill in modern engineering is architecting the right problem, not just solving one efficiently. Thinking is the new engineering.
AISoftwareDevelopment Mutable by Design: The FLUID Software Philosophy SOLID taught us structure, but AI-native development demands adaptability. FLUID is a new mindset for coding with machines — fast, collaborative, and mutation-friendly. This piece explores how to move from code as artifact to code as interface.
Vibe Coding Featured The Vibe Shift in Software: Why AI-Assisted Coding Is Here to Stay AI-assisted dev isn’t just autocomplete. It’s a shift from syntax to intent, from isolated tasks to conversation. Whether guiding agents or prompting apps, the real story is how we think and build with machines.
Decision Research Featured How I Unlocked Smarter GenAI Use: Lessons from 2,500 ChatGPT Conversations Analyzing 2,500 ChatGPT chats showed that AI’s true value emerges through engagement. Passive use leads to automation bias, but iteration and refinement unlock value and creativity. AI isn't an autopilot. It is a thought partner! The more we engage, the better our results.
