"Today we're launching FrontierMath, a benchmark for evaluating advanced mathematical reasoning in AI. We collaborated with 60+ leading mathematicians to create hundreds of original, exceptionally challenging math problems, of which current AI systems solve less than 2%.
Existing math benchmarks like GSM8K and MATH are approaching saturation, with AI models scoring over 90%—partly due to data contamination. FrontierMath significantly raises the bar. Our problems often require hours or even days of effort from expert mathematicians.
We evaluated six leading models, including Claude 3.5 Sonnet, GPT-4o, and Gemini 1.5 Pro. Even with extended thinking time (10,000 tokens), Python access, and the ability to run experiments, success rates remained below 2%—compared to over 90% on traditional benchmarks."
1,000@Bayesian Did something change your mind? It seems like Grok 3 isn't quite at the level of o3 on math and coding benchmarks, even with reasoning enabled.
@Bayesian Though of course, 10% error rate is also an estimate, right? In the world where an AI model reaches 90%, the error rate is probably a lot lower.
@TimothyJohnson5c16 yeah 10% error is an estimate, the errors they found were like 6% iirc, and they estimated # of errors they would have missed
This market is currently higher than the >65% bucket here: https://manifold.markets/Manifold/what-will-be-the-best-performance-o-nzPCsqZgPc?play=true