Human Level

Research on achieving human-level artificial intelligence (HLAI) focuses on bridging the gap between current AI capabilities and the multifaceted nature of human cognition. Current efforts concentrate on developing models that exhibit advanced reasoning (including mechanical and visual reasoning), understand intentions and perspectives, and possess adaptable, personality-driven interactions, often leveraging large language models (LLMs) and incorporating mechanisms like System 1/System 2 thinking. This research is crucial for advancing AI beyond narrow applications, potentially impacting fields like education, robotics, and human-computer interaction through the creation of more versatile and human-like intelligent systems.

Papers