#extreme problems

*insert kombucha girl meme*

The so-called Complexity Science has been around for a few decades now. Chaos, as well as complexity, were buzzwords in the 1980s, pretty much like Artificial Intelligence is today. There are Complexity Institutes in many countries. They speak of Complexity Theory. In a beautiful and recent video called “The End of Science”, Sabine Hossenfelder, speaks of Complexity Science and how it has not…

The Principle of Incompatibility, introduced by Lotfi Zadeh in 1973, states: “As the complexity of a system increases, our ability to make precise and yet significant statements about its behavior diminishes until a threshold is reached beyond which precision and significance (or relevance) become almost mutually exclusive characteristics.” In simpler terms: High precision is incompatible with…

Artificial General Intelligence (AGI) refers to a type of artificial intelligence that possesses the ability to understand, learn, and apply its intelligence to solve any problem that a human being can. But when will it become reality? That is the multi-trillion-dollar question and perhaps the most debated topic in technology and philosophy today. There is no consensus, but expert opinions fall…

As we know, Machine Learning, is a long and energy-intensive process, requiring expensive compuational hardware and large amounts of training data. In a recent blog, we have shown how QCM-powered Artificial Intuition by Ontonix, is able to accelerate Machine Learning by eliminating dimensions, or entire training vectors, if their information content is negligible. The above can be accomplished…

On May 27th 2025, Ontonix has released a Multi-Processor version of its QCM/Artificial Intuition technology. The Multi-Processor version of our QCM/Artificial Intuition technology is major step when it comes to solving very large-scale problems, such as infrastructure protection, monitoring of industrial plants, processes and critical equipment, or traffic systems, as well as on-board processing…

Complexity-Induced Risk refers to the heightened potential for adverse outcomes arising from the intricate and interconnected nature of a system. This risk emerges when the complexity of a system—whether technological, financial, ecological, or organizational—reaches critical levels, leading to unpredictable interactions that are difficult to foresee, manage, or mitigate. This level of complexity…

Why Optimal Solutions Are FragileWe have written extensively on this issue and this short blog is a small reminder. Optimal solutions are designed to maximize efficiency, performance, or utility under specific assumptions and constraints. However, this precision often makes them brittle in the face of uncertainty, variability, or unanticipated disruptions. Here’s why: 1. Overfitting to Idealized…