Why Is Existing AI Not Real Artificial Intelligence?

Artificial Intelligence (AI) has made significant strides in recent years, transforming industries, enhancing daily life, and even outperforming humans in specific tasks. However, despite these advancements, many experts argue that current AI is not "real" artificial intelligence. In this video, we will delve into the reasons why existing AI falls short of true intelligence, exploring the distinctions between current AI capabilities and the potential of real AI.
Understanding Current AI: Narrow AI
Today’s AI, also known as narrow or weak AI, is designed to perform specific tasks. This type of AI is highly specialized, focusing on a particular problem or domain. Examples include speech recognition systems, recommendation algorithms, and image classifiers. These AI systems can perform their designated tasks exceptionally well but lack general intelligence.
Task-Specific Capabilities: Narrow AI is built to excel in predefined areas. For instance, a facial recognition system can identify faces in images with high accuracy, but it cannot engage in a conversation or understand the context behind the faces it recognizes.
Pre-Programmed Knowledge: Narrow AI operates based on pre-programmed rules and data. It does not understand or learn beyond the specific instructions and data it was trained on. This limits its ability to adapt to new or unforeseen situations.
No Self-Awareness or Consciousness: Current AI systems do not possess self-awareness, consciousness, or understanding. They process inputs and produce outputs based on algorithms and data but lack any form of self-reflection or subjective experience.
Real AI: General Artificial Intelligence
The concept of real AI, often referred to as Artificial General Intelligence (AGI), represents a level of machine intelligence that is comparable to human intelligence. AGI would possess the ability to understand, learn, and apply knowledge across a wide range of tasks and domains.
Broad and Flexible Learning: Unlike narrow AI, AGI would be capable of learning and adapting to a variety of tasks. It could transfer knowledge from one domain to another, demonstrating flexibility and generalization similar to human intelligence.
Understanding and Reasoning: AGI would have the ability to understand complex concepts, reason about them, and apply this understanding to solve problems. It would go beyond pattern recognition and mimic human-like cognitive processes.
Consciousness and Self-Awareness: A true AGI would possess some level of self-awareness and consciousness. It would have an understanding of its existence and could potentially experience emotions, thoughts, and subjective experiences.
Limitations of Current AI
To understand why existing AI is not real artificial intelligence, it's crucial to examine its limitations. These limitations highlight the gap between narrow AI and the aspirational goals of AGI.
Dependency on Data: Current AI systems rely heavily on large datasets for training. They require vast amounts of data to learn patterns and make predictions. This dependency limits their ability to operate in data-scarce environments or adapt to new, unseen situations.
Lack of Common Sense: Narrow AI lacks common sense reasoning. It can make decisions based on the data it has been trained on but often fails to understand context or make judgments that require intuitive knowledge. For example, a language model might generate grammatically correct sentences that are nonsensical or inappropriate in context.
Inability to Generalize: While narrow AI can perform exceptionally well in specific tasks, it struggles to generalize across different domains. An AI trained to play chess cannot apply its skills to play another game like poker without significant retraining and modification.
No Understanding of Causality: Current AI systems excel at identifying correlations within data but often fail to understand causality. They can predict outcomes based on input data but cannot explain the underlying causes or relationships driving those outcomes.
Ethical and Moral Reasoning: AI lacks the ability to engage in ethical or moral reasoning. It can follow pre-programmed ethical guidelines but cannot comprehend or navigate the complexities of human values and moral dilemmas.

[@melvinreyestechnology2305]

Narrow AI is not the current AI that we have in GPT 4o for example, this is totally ridiculous.