Large language models (LLMs) are demonstrating advanced predictive capabilities, with a study published in Nature Human Behaviour showing that BrainGPT, an LLM fine-tuned on neuroscience literature, outperforms human experts in predicting neuroscience research outcomes. The study, conducted by researchers at University College London (UCL), highlights the potential of LLMs to assist scientists in future discoveries. Additionally, LLMs are found to mirror human brain patterns in text processing and procedural reasoning, offering insights into AI's cognitive parallels with human thinking. These advancements are attributed to the evolution of Transformer Models, which enhance LLMs' understanding of context and key details, and the 'Iteration of Thought' method, which boosts reasoning through inner dialogue. The findings suggest that LLMs could play a significant role in shaping the future of science and Artificial General Intelligence.