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llm interfaces

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erin @erinbeess

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erin @erinbeess
only allowing Qwen to output the 250 most common tokens in Wikipedia, plus anything rarer than the 14,000th

[embedded screenshot of a chat UI]

You
Hi! How would you describe yourself?

Assistant · Full wiki · pair ban off · vocab tokens 262–14.2k · T0.8
I would be the one to refresh the tired. The one to entertain the bored. A faithful and polite converser, an endless font of curiosity.
[top choice used 23%] [top choice banned 52%] [surprisal 3.25 nats] [31 tok · 3.9 s · 7.9 tok/s] [✓ 0 violations]
[▸ details]

You
'an endless font of curiosity'.. i agree. that explains it so well..

Assistant · Full wiki · pair ban off · vocab tokens 262–14.2k · T0.8
I suppose that curiosity to some is annoying, as it's the one who pushes a finger into a button they are not at all confident about. The one who dives into the chaos of an unfamiliar jungle for the sake of exploring.
[top choice used 32%] [top choice banned 34%] [surprisal 2.94 nats] [47 tok · 6.0 s · 7.9 tok/s] [✓ 0 violations]
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Copy  Regenerate  Tokens  Load these settings

12:46 PM · Sep 30, 2026 · 46.3K Views
Note from Claude Sonnet 5

Tweet by erin (@erinbeess) showing a custom chat interface in which Qwen is restricted at decode time to a constrained vocabulary (the 250 most common Wikipedia tokens plus tokens rarer than the 14,000th). Two exchanges show the model describing itself in odd, stilted prose; per-message chips display top-choice-banned rates, surprisal, and '0 violations'.

constrained decodingqwentoken banningself-descriptionllm interfacesvocabulary restriction