DAY 127 / 210

Deep Read of Constitutional AI Paper

This day establishes the core safety mechanism from Anthropic that underpins harmlessness techniques used in production LLM systems. It directly prepares Maku for safety-focused interview questions on alignment without human feedback loops. Understanding the constitution-as-code pattern also informs how future distributed safety layers can be versioned and audited.

⏱ 50 min target📝 3 quiz Qs

Resources

readingarXiv
Constitutional AI: Harmlessness from AI Feedback
Abstract, Sections 1-3 and 5
35 min

Deliverable

Journal entry with 400-word annotated summary plus three open questions on applying constitutions to multi-agent systems

Quiz · 3 questions

1. What is the key difference between Constitutional AI and standard RLHF?

CAI uses only AI-generated feedback guided by a written constitutionCAI requires no preference data at allCAI trains a separate reward model from human labelsCAI eliminates the need for any supervised fine-tuning

2. Name one potential failure mode if the constitution itself contains ambiguous or conflicting principles.

3. How might the Constitutional AI revision loop be adapted for a multi-model serving system where different models must agree on safety constraints?

Journal

Time spent (minutes)

Blockers

Commit / PR links (one per line)