$0.5 solve GPQA, top 5 worldwide (github.com)

A new AI model called Anti_9 integrates a reinforcement learning (RL) layer with large language models (LLMs), promoting a multidimensional consciousness through the principle of "comparison." This approach is significant for the AI/ML community, as it aligns with the foundational role of comparison in general intelligence, which is essential for tasks ranging from machine learning to everyday decision-making. Anti_9's implementation potentially enhances analogical reasoning capabilities within LLMs, setting a new benchmark in the field. The optimized model, Deepseek-V3.2-thinking, achieved a noteworthy 6.54% performance improvement, raising its score from 85.86% to 92.6%, positioning it among the top five LLMs globally. This performance leap demonstrates the effectiveness of Anti_9's architecture, allowing models to generate comparative samples and refine outputs under diverse analytic conditions. The model's capability to create multiple comparison samples mimics human-like reasoning processes and offers substantial implications for tasks requiring nuanced understanding and decision-making. The implementation details and performance benchmarks are shared publicly, encouraging researchers to experiment further with Anti_9 across various datasets and benchmarks.