AGI must have the ability to learn from experiences and adapt to new situations without human intervention. This involves not just acquiring new knowledge but also applying it in different contexts, known as transfer learning.
AGI should be capable of logical reasoning and solving complex problems that require an understanding of numerous, often variable factors. This includes both deductive reasoning (applying general rules to specific instances) and inductive reasoning (drawing generalizations from specific instances).
This involves interpreting sensory data (such as vision and sound) to understand the environment. AGI would need to recognize objects, understand natural scenes, and navigate the world as humans do.
AGI systems should be able to comprehend and generate human language effectively. This includes not just recognizing words but also understanding syntax, semantics, and pragmatics of language, allowing for fluent communication and interaction with humans.
AGI should understand human emotions, social cues, and cultural contexts to interact appropriately and effectively with people. This includes recognizing emotional expressions, understanding social dynamics, and responding empathetically.
Beyond analytical tasks, AGI would ideally possess the ability to engage in creative processes like a human. This could involve composing music, creating art, inventing new technologies, or generating novel solutions to problems.
AGI must be able to make decisions under uncertainty, weigh different options, assess risks, and consider the potential impacts of its actions. This involves complex judgment that can adapt to changing conditions and incomplete information.
A true AGI should be able to operate independently without guidance, managing its own goals and self-improvement strategies. This autonomy would also involve the capability to self-monitor and self-repair without external input.
AGI would need to integrate information from various sources and modalities (text, speech, images, etc.) to form a coherent understanding of complex situations. This integrative capability is critical for handling real-world tasks that require a holistic approach.
As AGI would operate in complex human environments, it must navigate ethical dilemmas and align its actions with human values and ethics, making decisions that are socially responsible and morally sound.
These Capabilities highlight the broad and comprehensive nature of what AGI aims to achieve, significantly expanding the scope of current AI systems, which are typically specialized and limited to narrow tasks.