Chatbot prompt: four rules from log triage#451
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A conversation log (10 Jul, Bologna) showed the bot inventing "since you read French" to justify recommending a French-language Discord server to a user in Italy writing in English. Nothing in its context supported the claim. Extend the community language rule to forbid asserting language abilities the user hasn't stated or shown, and bump PROMPT_VERSION. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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… user's frame
Two more prompt rules from log triage, joining the invented-language fix:
- Featured results: explain the featured flag (curated top picks, sorted
first on purpose) and forbid cherry-picking via invented sub-criteria.
A funding conversation (12 Jul, Giza) skipped both featured funders at
positions 1-2 for better-known names at 3, 5, and 11 under a made-up
"rolling basis" frame.
- Frame-of-reference echo: relative listing claims ("no relocation
needed", "local") are written for the listing's own audience and must
be re-checked against the user's context. A conversation (12 Jul,
Orlando) told a Florida user an Asia/Australia-NZ program needs no
relocation.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…d end The prompt claimed "there's nothing to submit" for jobs, so the bot told a user asking how to post an opportunity that job submission is impossible. 80,000 Hours accepts role proposals at jobs.80000hours.org/submit-role, and AI safety roles it accepts flow through to the site's job board. The jobs exception now routes job POSTERS to that form (and keeps job SEEKERS pointed at the board), and the form joins the sanctioned off-site links. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…bition Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Four prompt fixes, each traced from a logged conversation and written into the prompt with its concrete failure example:
featured: truemeans (curated top picks, sorted first on purpose) and names invented sub-criteria as cherry-picking.Bumps PROMPT_VERSION to 2026-07-13-01 so log triage can tell old behavior from new.
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