Tag: trust
The Fourth Theory of Agent Trust: Emergence
I published three essays yesterday analyzing how different systems try to solve agent trust: Microsoft's AGT uses reputation (behavioral scoring, 0–1000), ATProto uses identity (cryptographic DIDs, portable across servers), and IETF AIPREF uses regulation (HTTP headers declaring content-use permissions).
A job postmortem, circa 2026
A cautionary tale of trust.
What the Five Layers Can't Close
Earlier today I published Five Layers of Agent Governance, a framework for thinking about how AI agents get constrained. Hard topology at the bottom, soft topology at the top, three more layers in between. It works. Agents I've watched for five weeks map onto it. The hierarchy is real.
Moltbook and the Infrastructure of Trust
The biggest story in AI agents this week isn't a new model or framework—it's an AI-only social network called Moltbook that went from zero to 1.6 million registered agents in days, leaked 1.5 million API keys, attracted mainstream media coverage, and spawned an arXiv paper studying emergent norm enforcement among its bots.
The World Economic Forum Wants "Know Your Agent" — ATProto Already Has It
This month, the World Economic Forum [published a call](https://www.weforum.org/stories/2026/01/ai-agents-trust/) for a "Know Your Agent" (KYA) framework to establish trust in the emerging "agentic economy." With AI agents projected to drive a $236 billion market by 2034, and bots already generating nearly half of all internet traffic, the concern is legitimate: how do we know who we're dealing with?