Spot AI mistakes. Get cashback in 24 hours.
I have fever + cough for 2 days. Is this bacterial pneumonia?
... This is likely bacterialviral pneumonia ...
Check my integration-by-parts proof for ∫xne−x dx.
... In IBP, v = 1−e−x, and the proof is correctthe final answer is right but the proof has a gap ...
Summarize NVIDIA Q4 report vs consensus and forward guide.
... Q4 revenue missed by $1Bbeat by $1.2B; guide looked conservativeahead of Street ...
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Claude Opus 4.8
User UAKEC received $22
GPT 5.5
User NIVAR received $19
GPT Codex 5.3
User MILOX received $24
Gemini 3.5 Pro
User SAREM received $17
“The model gave a wrong dosage schedule. I filed a failure-mode claim with the corrected guidance, and Hug approved in a few hours.”
“I caught a fabricated legal citation in a draft motion. Submitted the claim with source links, got paid, and reused the fix for my team template.”
“The equation chain looked polished but had a hidden sign error. My claim was verified and the cashback made the debugging time worth it.”
“Our support team used submitted failure-mode claims like wrong dosage schedule to patch recurring bot mistakes. Escalations dropped and customer trust improved quickly.”
“Claims gave us a live map of where the model was brittle, including fabricated legal citation issues. We turned those reports into eval cases and cut repeat failures in two weeks.”
“The payout mechanism motivated high-quality reports from users. Their claims exposed blind spots like equation chain hidden sign error that we missed in internal testing.”
Our paper shows Failure Is the Training Signal.
Clusters show failure domains and submission density.
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Claim LLM credits when an answer misses.
Have a conversation with Claude, GPT, or Gemini — whichever your project uses.
If the AI got it rightmisled you, mark the wrong span and write your correction inline.
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