Artificial Narrow Intelligence
Artificial Narrow Intelligence (ANI) refers to AI systems designed to perform specific tasks, such as image recognition or language translation. All current AI systems, including large language models, are forms of narrow intelligence.
Understanding Artificial Narrow Intelligence
Artificial Narrow Intelligence encompasses every AI system operating in the world today, from voice assistants like Siri and Alexa to recommendation engines on Netflix and self-driving car perception systems. Unlike the theoretical concept of artificial general intelligence, narrow AI is designed and optimized for specific, well-defined tasks and cannot transfer its expertise to unrelated domains. A chess-playing AI that defeats world champions has no ability to hold a conversation or recognize faces, and a large language model that writes eloquent prose cannot independently navigate a physical environment. Despite this limitation, narrow AI has produced extraordinary practical impact through deep learning breakthroughs in computer vision, natural language processing, and reinforcement learning. The sophistication of modern narrow systems, particularly large language models like ChatGPT and BERT, can sometimes create the illusion of general intelligence, making it important to understand the boundaries of what these systems can truly comprehend and do.
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Fundamentals
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AGI
Artificial General Intelligence (AGI) refers to a hypothetical AI system with human-level cognitive abilities across all intellectual tasks. Unlike narrow AI, AGI would be able to learn, reason, and solve problems in any domain without task-specific training.
AI Winter
An AI winter is a period of reduced funding, interest, and research progress in artificial intelligence. Historical AI winters occurred in the 1970s and late 1980s, often following inflated expectations and undelivered promises.
Algorithm
An algorithm is a step-by-step procedure or set of rules for solving a computational problem. In AI, algorithms define how models learn from data, make predictions, and optimize their performance.
Artificial General Intelligence
Artificial General Intelligence is a theoretical form of AI that would match or exceed human cognitive abilities across all domains. AGI remains an aspirational goal rather than a current reality in AI research.
Artificial Intelligence
Artificial Intelligence is the broad field of computer science focused on creating systems that can perform tasks requiring human-like intelligence. AI encompasses machine learning, natural language processing, computer vision, and robotics.
Artificial Superintelligence
Artificial Superintelligence (ASI) is a hypothetical AI that would surpass human intelligence in every cognitive dimension. The prospect of ASI raises profound questions about control, alignment, and the future of humanity.
Dynamic Programming
Dynamic programming is an algorithmic technique that solves complex problems by breaking them into simpler overlapping subproblems. It is used in reinforcement learning, sequence alignment, and optimal control.
Emergent Behavior
Emergent behavior refers to capabilities that appear in large AI models that were not explicitly trained for or predicted. Examples include in-context learning and chain-of-thought reasoning in large language models.