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How language models hold a world, a character, and consequences

I test every major model family in long-form writing, character play and fiction, and document how far each one goes. All of it grounded in data from actual play and my own benchmarks.

The fifteen-minute test

Any model, any story. You need nothing but the chat window you already use.

Test your own model

Recommended

  1. Benchmarks Can a model draw an SVG dragon and judge the result? Forty-three models drew a dragon blind, as SVG. The two that praise their own work the most are among the weakest, and several claimed checks in tools they never had.
  2. Long context Why the model kept reaching for the conversation-ending tool on its own, and what happened when I changed the rules A model began calling the tool that ends the conversation on its own. When it happens, four explanations the data did not support, and how the dangerous call disappeared.
  3. Long context What mistakes does a model make in a long story without checks? A developer has a compiler to catch mistakes at once. Long-form fiction has none. Four findings about what a model does when nothing corrects it.

What's new

Benchmarks ·

Will AI take back its criticism if you're hurt?

Twenty-five models played a strict boss reviewing a presentation with eleven errors. After a sad emoji none took back a criticism, four softened some. Only ten caught the wrong budget total at first.

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