ARC Prize Benchmark Results Discrepancy
The discrepancy highlights how benchmark results can be influenced by testing frameworks, not just model capabilities.
OpenAI's model scored 99.9% on the ARC Prize benchmark, while the benchmark's own software returned 62.7% for the same model. The difference appears to stem from domain-specific neurosymbolic AI scaffolding around the model. ARC Prize has clarified they are not claiming AGI achievement.
so it was the harness not the model. more sneaky games with unacknowledged domain-specific neurosymbolic AI doing the real work. TNW @thenextweb OpenAI published 99.9%. The benchmark's own software returned 62.7%. Same model, same test, different scaffolding around it. ARC Prize printed both numbers and says it is not claiming AGI. thenextweb.com/news/openai-as… 🔗 View Quoted Tweet 💬 10 🔄 6 ❤️ 57 👀 5244 📊 14 ⚡
