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Distributed Systems + Frontier Safety/Interp · Week 29 · Day 5/7
DAY 201 / 210

Consensus Safety in Distributed AI Systems

This opening day of phase-4 establishes why safety properties like consistency and fault tolerance are non-negotiable when scaling AI workloads across unreliable networks. It directly informs every subsequent decision on replication, rate limiting, and failure modes in the StartupTribunal codebase. Without this foundation the later implementation days will lack measurable correctness criteria.

40 min target📝 2 quiz Qs

Resources

Deliverable

Journal entry containing one-paragraph safety audit of rate-limiter.ts plus three concrete failure scenarios

Quiz · 2 questions

1. Which safety property is violated when a rate-limiter accepts duplicate requests after a leader failover?

2. Name the exact safety guarantee Raft provides that Paxos does not make explicit in its original paper.

Journal