I felt the same way. So I built one using a mix of simple math, logic, and Twitter/X Community Noted posts. Try sample questions here - https://mentwire.com/sample - without signing up.
- Invites are temporarily open to HN users.
- Onboarding test + one daily question before accessing feed, post or reply.
- Posts authors are anonymous until upvoted or downvoted, forcing evaluation of content on merit.
- Face ID (on-device only) to post/reply, pangram checks for AI text.
Sourcing good questions turned out to be much harder than I thought. If you have suggestions to scale this, I would love to hear. Eventually, could be gated across disciplines/topics to get a competence × interest graph instead of the pure interest graph of today's social networks.
[1] https://x.com/paulg/status/1235949761359904768 [2] https://x.com/paulg/status/1576517990182359040 [3] https://x.com/paulg/status/1514979883948126209 [4] https://x.com/paulg/status/1505842647319126016
Repost from https://news.ycombinator.com/item?id=47577829. This link contains a full quiz and linked directly to sample to try without signing up.
philipkglass•1h ago
https://github.com/zai-org/GLM-OCR
It's fast and can run even on low-resource computers.
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Does this CAPTCHA actually resist computers? I didn't try feeding the questions I got to an LLM, but my sense is that current frontier models could probably pass all of these too. Making generated text pass the pangram test is simple enough for someone actually writing a bot to spin up automated accounts.
tripplyons•1h ago