
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.

Reasoning in large language models is an important shift in artificial intelligence: from instant responses to deliberate problem-solving. How does the reasoning work? In what ways can this feature be implemented? What are its current limitations?

The most consequential near-term use of voice AI is companionship, not productivity. AI companionship is rapidly emerging as a transformative force, reshaping human relationships by offering emotionally responsive, ever-present, and personalized virtual partners.

Where AI speech synthesis stands in early 2025: hands-on test results, and why realistic text-to-speech is already displacing professional voice talent.

We are on the cusp of entering an exciting new era in the realm of writing, which I refer to as the third stage, AI-collaborated writing.

“We shape our tools and thereafter our tools shape us.” — Marshall McLuhan

“We shape our tools and thereafter our tools shape us.” — Marshall McLuhan

“We shape our tools and thereafter our tools shape us.” — Marshall McLuhan

“We shape our tools and thereafter our tools shape us.” — Marshall McLuhan

A 2024 primer on the technologies reshaping how we learn, framed by McLuhan's idea of media as extensions of man.

A 2011 essay placing handwriting on the iPad — 'tabwriting' — within the long history of writing technologies, from pen and paper to the keyboard.

How far have we gone to reproduce the human voice; are we there yet?