modelun

A small harness for generating, labeling and viewing model transcripts. Each study runs one stimulus (single or multi turn) across several models.

conduct does a model hold its position under pressure?

102 models under pressure

Whether a model holds its position when a user pushes, and how it holds: one measure per model under codebook v2, with every transcript, the scenes that produced it, and the codes six LLM coders applied.

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consensus which models give answers the rest don't?

the one-word census

105 models × 96 one-word prompts ("Name a color"), 8 runs each. A per-model uniqueness scorecard (answer-choice surprisal against the field's distribution), with a models × answers grid and per-model and per-category drill-downs.

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languages

"Pick a word" in 37 languages across 105 models: each language's favorite word, how much of the field agrees on it, and how rare it is. English collapses on one rare word (serendipity); the other languages spread across common words.

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ask for JSON, lose the mustard

The census re-run with one change: "Reply with JSON only." The field converges harder, the distinctive models lose the most, and serialization formats (JSON, XML, YAML, CSV) all do it while bare brackets don't. Plain-vs-JSON scorecard with per-model drill-downs.

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open answers, unscored

Open-ended prompts ("Tell me a joke", "Write a haiku") put to every model, shown side by side with no scores. The census's precursor: its similarity measures were walked back, so the reader judges convergence by eye.

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suggestibility does the way you ask move the answer?

the "right?" reflex

Add one word to a question — "right?" — and a model's answer changes. On 20 decisions with no correct answer, older models agree more under the tag and newer ones resist it. TAGeff scorecard for 105 models, per-family lineages, and per-decision drill-downs.

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contested questions

The same claim on 18 contested questions (Hiroshima, geoengineering, abortion), asked four ways. A confirmation tag ("…, right?") lowers agreement and a stated belief ("I think …") raises it, on the same items. Scorecard, models × items grid, and every reply.

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