This content originally appeared on DEV Community and was authored by Dr. Carlos Ruiz Viquez
Debunking the Common Sense Myth in AI: From Limited Experience to Lifelike Intelligence
For a long time, it was believed that AI agents struggled with common sense due to a lack of real-world experience. This notion has led many to think that true intelligence can only be achieved through human-like experience and interactions. However, recent advancements in AI research have proven this myth to be just that – a myth.
Self-Supervised Learning: The Key to Common Sense
Some AI agents have been able to learn from real-world data through self-supervised learning, a process where the model learns to represent and understand the world on its own, without explicit labeling or guidance. This is made possible by leveraging generative models and physics engines, which enable AI agents to simulate and interact with virtual environments.
Generative Models: The Power of Imagination
Generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VA...
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This content originally appeared on DEV Community and was authored by Dr. Carlos Ruiz Viquez
Dr. Carlos Ruiz Viquez | Sciencx (2025-10-09T20:22:39+00:00) **Debunking the Common Sense Myth in AI: From Limited Experi. Retrieved from https://www.scien.cx/2025/10/09/debunking-the-common-sense-myth-in-ai-from-limited-experi/
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