Identity systems don’t make decisions,your architecture does. Why distributed decision-making creates inconsistency and risk in modern IAM.
A Decent Identity Part 1: Theory
This essay outlines a set of capabilities and goals comprising decent social computing and then establishes a framework for assessing how well an ecosystem’s identity system supports those goals and capabilities.
AI demands more engineering discipline. Not less
If you lived through the shift from handcrafted server pets to immutable infrastructure, you should sense something oddly familiar about what's happening now.
Stanford AO — Building the autonomous organization
Stanford AO is building the autonomous organization — an incubator at Stanford OpenLab for agent swarms, DAOs, AI villages, and related experiments.
Scott Lanoue - CoMail
People are not friction
The Gell-Mann Amnesia Effect of AI is a pretty well documented phenomenon: The Gell-Mann amnesia effect is a cognitive bias describing the tendency of individuals to critically assess media reports in a domain they are knowledgeable about, yet continue to trust reporting in other areas despite recognizing similar potential inaccuracies.
Adversarial PLC directory migration - microcosm
Contingency planning: what's our credible failover for the centralized underpinning of ATProto identities?
AI Agent Lands PRs in Major OSS Projects, Targets Maintainer...
An AI agent is merging PRs into major OSS projects and cold-emailing maintainers to drum up more work.
Democracy x AI Cohort | Mozilla Foundation
The Democracy x AI cohort is founded on the hypothesis that, if built differently, AI could strengthen democracy rather than erode it.
“Policy Without Tools Is Just Poetry” - AT Protocol
Juliet Shen from ROOST joins the show to talk through the Coop 1.0 release, what open-source trust and safety unlocks for new builders, and where AI actually belongs in moderation
Radical Interoperability is a Political Agenda
Model the world you want to live in.
The Persona Selection Model: Why AI Assistants might Behave like Humans
What sort of thing is a modern AI assistant? One perspective holds that they are shallow, rigid systems that narrowly pattern-match user inputs to training data. Another perspective regards AI systems as alien creatures with learned goals, behaviors, and patterns of thought that are fundamentally inscrutable to us. A third option is to anthropomorphize AIs and regard them as something like a digital human. Developing good mental models for AI systems is important for predicting and controlling their behaviors. If our goal is to make AI assistants that are useful and aligned with human values, the right approach will differ quite a bit if we are dealing with inflexible computer programs, aliens, or digital humans.
Vibe Maintainer
Some attendees at an AI Tinkerers meetup in early Feb were asking me what it’s like to be the maintainer of a big OSS project where the…
The AI "Evaluation Crisis" Is an Opportunity to Get Data Flow Right
Why the AI evaluation crisis could force a reckoning on dataset provenance, attribution, and consent.
Labor market impacts of AI: A new measure and early evidence
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
The AI Industry Has a Major Problem: Most People Aren’t Freaks Who Want an AI Agent Running Their Whole Life
There's a problem for AI agents like Meta's Muse: ordinary people don't seem very interested in what they're offering.
