Artificial intelligence is here to stay with us until the end of time, providing services across every field of human knowledge. We have all witnessed its advances, and much is said about its repercussions, yet few people take the trouble to understand how AIs actually work and are trained. It is often said that an AI is a large language model (LLM2) with billions of parameters powering its capabilities through neural networks, which are flows of tensors that use those parameters to process and respond to user requests. AIs cannot deal directly with things the way humans do. Instead, they use mathematical objects that represent those things. A rock, a tree, a cat, a river, a galaxy, Gustavo Petro making a fool of himself, these are all examples of "things" that AIs represent using tensors and manipulate using tensor algebra in neural networks. In other words: numbers, once again, everything is numbers...This document briefly reviews how AIs function and introduces the concept of the embryonic tensor in the training and operation of AI systems. Experts are well aware of the role of ordinary tensors in this field, but few suspect that we can go further by introducing concepts that amplify the usefulness of tensors in AI training. In this spirit, we present the use of embryonic tensors as a "super extension" of the ordinary tensor concept, already heavily used in training current AI LLMs such as ChatGPT, Gemini, Grok, DeepSeek, etc. For those who are concerned about the intrusion of AI into nearly every aspect of contemporary life, the author has also developed a "cure": the Kama technology. It converts any system file into a simple PNG graphic and, in doing so, encodes the digital information using advanced steganographic techniques that allow the data to be hidden safely inside the image. To date, none of the aforementioned AIs has succeeded in decoding a Kama file, not even with help. Kama also fools every web robot that accepts uploads of such files without questioning their contents which, it should be noted, pose no danger to the web or to the application "zombified" by Kama.