Rodin
0f43934cb8
Sonnet 4 outperforms GPT-5 on inter-document contradiction analysis: - More findings (5 vs 4) - Faster (14s vs 136s) - Better severity calibration (3 Critical vs 0 Critical) Key insight: GPT-5's extended reasoning (9.7K tokens) doesn't pay off for this task type. Inter-document comparison requires parallel pattern matching, not serial verification.
Model Findings — Analytical & Research Work
Tracking what actually works (and doesn't) when using AI models for research, analysis, bias detection, and document review — not coding.
Started: 2026-04-26
Context
We use multiple models in different roles: Claude Code (Opus/Sonnet) for generation, Sonnet + GPT-5 for independent dual review, smaller models for focused analytical tasks. Most public discussion is about coding. We found almost no published methodology for using models in analytical research tasks (searched 2026-04-26). That gap is why we're tracking this.
Each experiment lives in its own file. See individual finding files below.