AI Still Feels Artificial. What Are We Missing?

Despite the many achievements and advancements in artificial intelligence (AI), it still falls short of our intuitive sense of human-like intelligence. AI applications often seem narrow, brittle, and unable to generalize beyond their training data. While deep learning has carried us far, some researchers argue that we may need more than just this approach to achieve artificial general intelligence (AGI). They suggest exploring multifaceted and multimodal AI models, as well as incorporating machine "common sense" into AI systems. Hybrid approaches combining symbolic AI with deep learning could also be promising in achieving AGI. As we continue to experiment with various AI techniques, it is crucial not to dismiss any approach prematurely and instead embrace the exploratory phase of AI development.