The episode introduces BrainBench, a new benchmark designed to evaluate the ability of Large Language Models (LLMs) to predict outcomes in neuroscience, demonstrating that LLMs surpass human experts in accuracy. The analysis delves into the performance of BrainGPT, an LLM fine-tuned for neuroscience using Low-Rank Adaptation (LoRA), highlighting the importance of confidence calibration in predictions. The work concludes by exploring the implications for future human-machine collaboration in scientific research, emphasizing the potential of LLMs as supportive tools while also addressing the risks of over-reliance on them. Finally, it underscores the importance of a balanced approach that combines the analytical power of LLMs with human creativity.