Core Insights - The ultimate goal of artificial intelligence (AI) is not just to create systems that can outperform humans in specific tasks, but to develop general artificial intelligence (AGI) that reflects human intelligence and helps in self-understanding [3][10] - Current large language models (LLMs) exhibit impressive problem-solving capabilities but lack continuous learning and real-world interaction, limiting their effectiveness [6][10] - The concept of a global workspace theory (GWT) is explored as a potential framework for understanding consciousness and intelligence in both humans and AI systems [9][30] Group 1: Limitations of Current AI - LLMs are primarily language processors and do not possess capabilities such as perception, memory, or social judgment, which are essential for true intelligence [6][10] - The modular approach in AI development is being pursued to enhance intelligence, but the coordination between different modules remains a challenge [7][12] - The GWT suggests that consciousness is a collaborative process among various cognitive modules, which could inform AI design [9][10] Group 2: Advances in AI Research - Recent developments in modular AI, such as the "Mixture of Experts" model, aim to improve computational efficiency by utilizing smaller networks [7][12] - The soft attention mechanism has been introduced to allow neural networks to maintain selectivity without making absolute choices, enhancing their learning capabilities [18][19] - The integration of GWT principles into AI systems could lead to more human-like cognitive functions, potentially paving the way for AGI [15][19] Group 3: Theoretical Implications - The exploration of GWT in AI research raises questions about the nature of consciousness and whether AI can achieve a form of awareness [30][31] - The debate continues on whether consciousness is a product of biological evolution or can be replicated in machines, with various theories offering different perspectives [30][32] - The ongoing research into AGI not only aims to create intelligent machines but also provides insights into the fundamental nature of human intelligence [32][33]