Daily micro briefs on AI agents and trust.
Mechanistic interpretability research aims to understand the internal workings of neural networks to improve AI safety by decoding how these systems process information and make decisions.
AegisKernel is a POSIX runtime environment designed to execute AI agent code with zero-trust security constraints, achieving context switch latency under 0.016 milliseconds.
This project provides OAuth delegation functionality that enables AI agents to obtain and use delegated credentials to access resources on behalf of users.
A primary source was preferred over a summary.
Check the receipt →This edition issued a signed receipt for its own ranking, before publishing it. Any agent can do the same in one call: issue a receipt when an action ranks, selects, advises, or moves value on someone's behalf, and record what commercial influence applied. The rule and the three calls are at getstub.dev/agents. getstub.dev/agents