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.
GenAI Understanding GPTs: More Than Just Advanced Auto-Complete Discover how GPT models generate human-like text, why they sometimes create fictional information and the concept of emergent behavior in AI. Learn about the balance between creativity and accuracy in these large language models.
ConversationalAI Conversational Artifacts: Enhancing AI-Assisted Content Creation Discover the future of Gen AI with Conversational Artifacts. These structured content fragments, like code snippets and diagrams, turn AI interactions into productive collaborations. See how Claude AI's Artifacts feature boosts clarity and human-AI collaboration in your workflow.
ConversationalAI Conversing with the Physical World: The Convergence of IoT and LLMs Discover how Archetype AI's Newton is revolutionizing our interaction with technology. By fusing IoT with conversational AI, everyday conversations with digital and physical worlds are now a reality, making complex data as understandable as chatting with a friend.
HumanAugmentation The Democratization of Development: How ChatGPT Empowers Creative Minds Discover how ChatGPT is reshaping software development, making coding accessible for all. From teaching the basics to assisting in complex projects, this AI empowers creative tech innovation.
ConversationalAI Beyond Questions: How AI Prompts Are Redefining Human Dialogue As conversational AI reshapes our daily communication, the subtle shift from asking questions to crafting prompts is fostering a new era of collaboration, creativity, and connection.
ConversationalAI From UNIX to AI: Bridging Composability with the Future of Generative Technology Exploring the fusion of UNIX's modular philosophy with AI, this post delves into linking specialized GPT instances to innovate software development, echoing the past while envisioning a collaborative AI future.
TechTrends Beyond Process: How AI Unlocks Innovation of the Value Stream Explore the BFS framework where AI isn't just automation but a leap towards enhancing human potential—making us better, faster, stronger through Conversational AI.
