GPT-5.5 Reportedly Scores 1.7% on OpenAI-Proof Q&A
A Reddit-shared screenshot claims GPT-5.5 scored just 1.7% on OpenAI-Proof Q&A, an internal OpenAI benchmark built from 20 real research and engineering bottlenecks that took OpenAI teams more than a day each to resolve. The benchmark gives models code access, logs, and run artifacts, then grades pass@1 on root-cause diagnosis and explanation. The result reads less like a conventional reasoning score and more like a reminder that frontier models can still struggle badly on messy, high-context debugging tasks even when they perform much better on mainstream coding and knowledge benchmarks.
Hot take: this is the kind of benchmark that exposes the gap between “looks smart in a demo” and “can actually debug a production-grade ML failure.”
- –OpenAI-Proof Q&A is not a trivia test; it measures diagnosis of real internal engineering bottlenecks.
- –A 1.7% score suggests GPT-5.5 is still weak at multi-step root-cause analysis when the signal is buried in logs, code, and experiment artifacts.
- –The result is especially notable because this class of task is closer to research engineering than textbook QA.
- –If the screenshot is accurate, it is a useful counterweight to hype around frontier-model progress.
DISCOVERED
3h ago
2026-04-24
PUBLISHED
7h ago
2026-04-23
RELEVANCE
AUTHOR
torrid-winnowing