Rodin
2ca8c974f3
New task type testing distributed systems consistency analysis. GPT-5 found 18 issues (with 4,416 reasoning tokens), Sonnet found 13. Key insight: distributed systems reasoning benefits from extended reasoning - Sonnet at 72% of GPT-5 count, similar to race condition analysis (58%) and worse than assumption-finding (85%).
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.