For those who aren't familiar with Neural Networks, terms like Model Size and dataset, what do I mean? Let me first briefly explain Neural Nets, then I'll explain Model Size and datasets. If you already know all this, skip to the next section. Artificial Neural Networks (Neural Nets) is a software method used to build AI models. The reason the method is called Neural Nets is that the original creators of Neural Networks wanted to mimic how we learn as humans in computers.

Regarding Vivek Wadhwa's Nov. 6 On I.T. column, "Artificial intelligence makes leap forward, cracks CAPTCHA" [Capital Business]: The world has been anticipating the positive and negative effects of AI for decades. Now, every heralded improvement to a computer program is some kind of overall improvement of AI, rather than just marketing hype. Programmers have been trying to break CAPTCHA for a long time. I suspect that a CAPTCHA 2.0 will be based on a three-dimensional model rather than the current two-dimensional model. In any case, I believe we would be better served if we redefined artificial intelligence into two categories, Programmed AI and Autonomous AI.

It was an early form of machine learning based on rules. The difference was that we were "bold enough" to claim that the program incorporated …