Automated AI Research and Model-Enabled Discovery

“First Steps Toward Automated AI Research” reports an open-source research loop applied to language-model training and GPU-kernel optimization, with multi-seed checks and reward-hack screening. A separate paper asks whether LLMs can predict outcomes of ML experiments they propose, but the available excerpt lacks methods and results; independent reproduction and full benchmark context remain essential.