We live in an extraordinary era. Technology transforms every aspect of our lives, and we are witnessing it firsthand.
Education rests on three foundations: what we teach, how we teach it, and the tools we use to teach and learn. Content. Pedagogy. Technology. Computers and the internet revolutionized content delivery — they made knowledge accessible, but left pedagogy untouched. We still teach largely as we did before screens arrived.
AI has the potential to change this. It can adapt to a learner's pace, give immediate feedback, and identify gaps in understanding that human instructors miss at scale. Most importantly, it makes one-on-one instruction economically viable for the first time in human history. The road is long and winding — but the work at this intersection matters now.


AI has made software generation so cheap that an entire category is now born disposable — created for a single context, used once, and discarded when the moment passes.
Skills give AI a set of instructions to follow — and instructions can be ignored. This essay maps Anthropic's dynamic workflows against a real writing …
AI produces "slop" (statistically average, fluent but hollow writing) not as a model failure but as an insight failure. Genuine originality requires standing at …
AI engineering has evolved through three compensatory phases (prompt, context, and harness), each addressing a failure the previous layer couldn't fix. Harness …
This essay argues that AI is reshaping software at an architectural level, moving from human-centered applications to a composable agentic ecosystem where CLIs, …
E-learning has built a $300B industry around the least effective slice of the learning model (formal instruction) while neglecting the experiential and social …
The essay explores cinema's 'mysterious characters'—figures whose opacity resists even patient observation—arguing that withholding creates gaps that transform …
"I wear many hats, but if I had to pick just one, it would be 'lifelong learner.'"