Author Spotlights

In “What ‘Pondering’ and ‘Reasoning’ Really Mean in AI and LLMs,” you address the semantic gap between human and machine reasoning. How does understanding this distinction impact the way in which you approach model...

You wrote many beginner and explanatory articles on TDS. Has teaching the basics modified the way you design or debug real systems at work? I notice the correlation between the more I teach something, the...

You call your “AI Strategy Playbook” a set of mental models that help teams align on what to construct and why. Which models most frequently unlock clarity in executive rooms, and why do they...

You’ve argued that a well-designed experiment can teach you greater than knowing the counterfactual. In practice, where experimentation remains to be underused, what’s your minimum viable experiment when data is scarce or stakeholders are...

You studied economics, then learned to code and moved through product, growth, and now hands-on AI constructing. What perspective does that generalist path provide you with that specialists sometimes miss? I’m undecided.  People see generalists as...

You latterly won $10,000 in a machine learning competition — congratulations! What was the largest lesson you took away from that have, and the way has it shaped your approach to real-world ML problems? My...

You’ve written extensively about agentic AI and frameworks like smolagents and LangGraph. What excites you most about this emerging space? I first began exploring generative AI largely out of curiosity and, admittedly, a little bit...