Benchmarks

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

Frontis.AI / Horizon Research open-source OpenMLE (gym, RL, Evo) and Frontis-MA1-35B, lifting MLE-Bench Lite medal average to 71.21% under a single RTX 4090 budget toward executable RSI research.

Research · Machine Learning · Research · AI Agents · Open Source

Which AI Is Best for College Essays in 2026? Gemini Wins

StudyArena analyzed 6,851 blind student votes across ChatGPT, Claude, Gemini, and other models. Gemini is our current pick for college essay help.

Blog post · Benchmarks · Education · AI

TabPFN vs XGBoost: benchmark measured on an RTX 4070 Ti

The claim behind TabPFN and TabICL is that they predict on a table without ever training on it and still beat tuned boosting. I measured it on fourteen datasets from the Grinsztajn benchmark, with the same split and the same clock for everyone. The one that does not train wins, the advantage holds up to 32,000 rows instead of breaking, and the most-cited model can no longer be downloaded without a

Blog post · Machine Learning · Benchmarks · AI · Research