Workforce AI and the Vanishing Ladder: Rethinking Work in the Age of Automation AI is erasing entry-level roles, gutting the talent ladder. Juniors aren’t learning, orgs lose future leaders, and inequality grows. To thrive, leaders must protect onramps, embrace hybrid roles, and invest in human development—not just automation.
Coherence Featured The Coherence Trap: Why LLMs Feel Smart (But Aren't Thinking) LLMs don’t think—they resonate. In this article, I unpack The Coherence Trap' the illusion of intelligence created by structured, fluent language. We explore how meaning emerges from alignment, not understanding, and why designing for coherence—not cognition—is the key to building with AI.
AI Agents Agentic Protocols: Cutting Through the Noise Agentic protocols like MCP, A2A, and ACP aim to standardize how AI agents interact—but each serves different needs. MCP excels at structured execution, A2A at distributed coordination, and ACP at simple integrations. Choose based on context; they’re tools, not truths.
HumanAugmentation Featured Prompting Is Dead. Long Live the Loop. Prompting alone won’t cut it. By reframing AI work as a structured loop of context, feedback, and iteration true collaboration emerges not from clever one-liners but from designing fluid, adaptive interactions where meaning is shaped together.
Vibe Coding Featured Vibe Coding: The Automation Moment for Software Vibe coding is the automation movement for software. It shifts the focus from typing to thinking, collapsing ceremony and exposing what really matters—design, validation, and impact. Coding isn’t dying, it’s evolving.
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.