Presence is the Product

According to recent research from the Harvard Business Review, the most common uses of generative AI in 2024 were what you’d expect: productivity, coding, research, content generation. In 2025? Something else entirely: Therapy and companionship. Let that land. Not...

Resistance is Necessary

In 1988, off the coast of Sardinia, divers donned their wetsuits and slipped into the aquamarine depths of the Mediterranean. As the light narrowed into tendrils above them, they discovered the remnants of an ancient Roman shipwreck containing immense treasure. But it...

The Memory Between Hands

Klarna didn’t fail because the AI was broken.It failed because it forgot to feel. The story, now well reported: the company pushed hard into “AI-first” customer support. It scaled beautifully, responded quickly, and shaved operational costs. And then it collapsed. In...

When Meaning Emerges From Prediction

There’s a quiet shift underway in machine learning, and it’s not about scale. It’s unfolding in the interstitial logic of language models trained to predict tokens. It’s happening where behavior starts to resemble understanding (something once reserved for sentience)....

What AI Honesty Work Misses When It Forgets Flesh and Syntax

Anthropic is hiring for a role called “Research Scientist, Honesty.” I haven’t stopped thinking about what it means that such a role now exists. The fact that AI labs are beginning to formalize “honesty” as a research domain—treating it not just as a virtue, but as a...

On Emergent Utility: When AI Begins to Care

A team of researchers just cracked open the utility skeleton inside large language models—and what they found isn’t just optimization. It’s emergent value formation. This short paper proposes a new discipline: utility engineering, aimed at understanding and...