Same bug, two IDs: an open RL dataset shares 15% of CyberGym's bugs, and a plain ID join misses 38% of them
This story is from 2026-10-08. It is preserved in the archive; the latest stories are on the live feed.
Open RL environments are great for research. They also open another route for benchmark overlap. Here is a small, reproducible case, plus one pitfall that will bite anyone checking for it. (Short version: this does not show that any reported score is inflated; caveats below.) The finding Xiaomi rel…
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- 2026-10-08 13:57 · DEV Community — Machine Learning
Same bug, two IDs: an open RL dataset shares 15% of CyberGym's bugs, and a plain ID join misses 38% of them