Touch a brand. Follow a connection.
AI research, across models
Run controlled AI experiments across models. Repeat trials, measure uncertainty, and compare responses with evidence you can reproduce and audit.
Touch a brand. Follow a connection.
SIMULATED DATA · FIXED PROMPT
Repeat the same prompt. Watch brand frequencies and uncertainty change.
Prompt“Recommend three running-shoe brands for everyday training.”
Gold line: observed frequency · Shaded band: 95% uncertainty interval
Recent trials for the selected brand. Gold means included.
Each answer includes three brands, so percentages do not sum to 100%.
| Brand | Count | Frequency | 95% interval |
|---|
Authored synthetic answers, not measured model behavior. Each run replays the same sequence; 10 and 50 are prefixes of the 200-trial dataset. Intervals use the Wilson method for each brand’s inclusion rate, assuming independent trials with a constant probability. They show sampling uncertainty, not accuracy or bias. More observations can refine an estimate while close brand frequencies remain difficult to distinguish.
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