Safety Properties in Distributed AI Systems
This day establishes the core safety invariants required for reliable operation of distributed AI workloads before diving into mechanisms like replication and consensus. It directly supports Maku Mazakpe's work on StartupTribunal by highlighting failure modes that affect production reliability at scale. The focus on definitions and misconceptions prepares the learner to evaluate real system designs later in the phase.
Resources
- 25 min
- 15 min
Deliverable
Journal entry listing three safety invariants with one concrete mapping to app/api/maku/brief/route.ts behavior
Quiz · 2 questions
1. Which property is violated when a distributed system returns two different values for the same read after a write has been acknowledged?
2. Define safety versus liveness in one sentence each and give one distributed-systems example of a safety violation.