Iván Palomares Carrascosa’s straightforward article is a breath of fresh air amid the maze of jargon flooding AI conversations today. His approach strips AI down to the basics: it’s essentially computer systems learning from data to mimic intelligent behaviors. That idea sounds simple but underpins some incredibly complex and powerful tools we’re seeing now, like ChatGPT.
What’s refreshing is the practical balance in the explanation — AI isn’t some sci-fi omniscient brain, but a math-driven tool that learns patterns without true understanding. That bit about AI not having common sense or human intuition is crucial, because it keeps expectations grounded. As exciting as deep learning and generative models are, their ‘intelligence’ remains statistical pattern recognition, not wisdom or consciousness.
It’s also worth pondering the highlighted symbiosis between areas of AI — reasoning, machine learning, deep learning — which shows the field’s diversity. The renewed interest in agentic AI, for instance, hints that combining symbolic reasoning with learning might address some current AI shortcomings.
For the skeptical or tech-curious reader, this article is a good reminder: AI is a set of tools evolving rapidly, empowered by massive data and compute, but still limited by the quality of inputs and the nature of their design. It’s like teaching a robot to recognize your dog — it’s amazing it can do that, but it won’t understand why your dog is special to you.
Finally, Iván’s encouragement to approach AI with both curiosity and realism serves as solid advice. As we adopt these new capabilities, let’s keep questioning, learning, and remembering that AI’s power is unprecedented — but it’s not magic, it’s math. And embracing that may be the best way to innovate responsibly and effectively in the AI era. Source: What is Artificial Intelligence in Simple Words? - KDnuggets
