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.
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.
FutureOfWork Unpacking the Hidden Challenges of Everyday AI AI is reshaping how we work—but it's not without challenges. From mastering prompts to dealing with uncertainty, I explore practical hurdles and mindset shifts to unlock AI's true potential.
ROI The Value of LLMs: Why 'Stupid Machines' Are Still Incredibly Useful LLMs may not truly "understand," but their value lies in their ability to iterate, co-create, and mimic complex behaviors. From drafting content to automating tasks, these "stupid machines" prove that utility—not intelligence—drives their economic and practical significance.
GenAI Gen AI and the Importance of Explainability Gen AI is good at complex problem-solving, but explainability is key. Integrating Human-Centered Design (HCD) principles ensures AI solutions are transparent, thus enhancing user trust.
