Side-by-side evidence matrix

Compare the build, not the hype.

The supplied post names three models and three game-clone tasks. Enter what you actually inspected; this scorecard never invents benchmark results.

Task matrix

ModelFruit NinjaAngry BirdsCrossy Road
GPT Sol
Grok 4.5
Muse Spark 1.1
Enter task scores to compute an evidence-bound total.

Entered task scores form an evidence-bounded sum

Read the explanation

The source has three game-task fields per model, each labeled zero to five, and adds them without measuring a game itself. In an explicitly hypothetical row four, three and five, the total is twelve out of fifteen. Bars share forty pixels per score point: one hundred sixty, one hundred twenty and two hundred. These are illustrative entered scores, not measured performance of the named models or verified quality of any generated game. Keep the other hypothetical task values four and three. Changing the last from four to five changes the row sum eleven to twelve. Bars share twenty five pixels per total point: two hundred seventy five versus three hundred. The calculator supplies no task weights, uncertainty interval, validation or model winner rule. Blank fields become zero in arithmetic rather than proof of a failed tested game. Hypothetical task vectors five, five, zero and four, three, three both total ten. Bars share twenty five pixels per total point and each reaches two hundred fifty. Different playable behavior or evaluation standards cannot be inferred from this tie. Save stores the score snapshot; export uses that saved score snapshot if present while taking the current evidence note. The tool asks a reviewer to document actual controls and rubric, but does not verify those notes.

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