AGI
Refers to artificial intelligence that can perform intellectual tasks at or above the human level in various domains without explicit human intervention. Unlike conventional AI, which is limited to specific tasks, it refers to systems with general-purpose capabilities that solve complex problems and create new knowledge through self-learning and reasoning.
Detailed explanation
Why it matters in tool selection
It serves as a standard for users to distinguish whether an AI tool is a simple 'command executor' or a 'general-purpose problem solver'. Tools closer to AGI can grasp context and construct complex workflows on their own without specific instructions from the user.
Indicators for assessing AGI technology levels
- Generality: Can it perform new types of tasks it hasn't learned before?
- Autonomy: Does it plan subtasks on its own to achieve complex goals?
- Reasoning: Does it derive conclusions based on logical steps rather than simple pattern matching?
- Multimodality: Does it comprehensively understand various forms of data such as text, images, and audio?
Comparison with current technology
An AI that reads specific cancer cells is 'Artificial Narrow Intelligence (ANI)', but an integrated system that reads patient charts, references medical papers to establish treatment plans, and even consults with patients is closer to the goal of 'AGI'.
Classification by stages of intelligence
ANI (Narrow)
Today's mainstream AI, which shows outstanding performance only in limited areas such as chess and translation.
AGI (General)
General-purpose AI capable of performing any intellectual task a human can.
ASI (Super)
Superintelligence that overwhelms the collective intellectual capacity of humanity in all areas.