According to God of Prompt, leading AI research is rapidly evolving with new techniques that enhance large language models' reasoning capabilities. Best-of-N sampling allows models to generate numerous responses and select the optimal answer, increasing reliability and accuracy (source: God of Prompt, Twitter). Tree search methods enable models to simulate reasoning paths similar to chess, providing deeper logical exploration and robust decision-making (source: God of Prompt, Twitter). Self-verification empowers models to recursively assess their own outputs, improving factual correctness and trustworthiness (source: God of Prompt, Twitter). Process supervision rewards models for correct reasoning steps rather than just final answers, pushing AI toward more explainable and transparent behavior (source: God of Prompt, Twitter). These advancements present significant business opportunities in AI-driven automation, enterprise decision support, and compliance solutions by making AI outputs more reliable, interpretable, and actionable.