Measuring the Complexity of AI-generated Text
QCM (Quantitative Complexity Management) technology has been around for twenty years. The applications span numerous fields, such as engineering, medicine,Continue Reading
Tag: AI
Failed Doomsday Predictions and Curing Cancer
Below are some failed doomsday, eco-pocalyptic predictions (source): 1. 1967: Dire Famine Forecast By 19752. 1969: Everyone Will Disappear In a CloudContinue Reading
Triggering Systemic Collapses: Complexity as a Weapon
Since its founding in 2005, Ontonix has focused its QCM (Quantitative Complexity Management) technology on protection, problem prevention, ‘robustification’, earlyContinue Reading
The Most Important Thing: Knowing Your Priorities
Regardless of your market, industry, context or situation, it is all about making decisions. Decision making hinges on identifying priorities,Continue Reading
Three Reasons why Blackouts are Inevitable
Following the Spanish blackout earlier this year, our post-mortem analysis has shown how Artificial Intuition could have provided a two-dayContinue Reading
Complexity and the Natural Limits of AI and LLMs
The Principle of Incompatibility, introduced by Lotfi Zadeh in 1973, states: “As the complexity of a system increases, our abilityContinue Reading
Artificial Intuition – Best Application Scenarios
Over the past twenty years, Ontonix has explored and worked on hundreds of applications of its QCM-powered Artificial Intuition technology,Continue Reading
Artificial General Intelligence – The Missing Link
Artificial General Intelligence (AGI) refers to a type of artificial intelligence that possesses the ability to understand, learn, and applyContinue Reading
Artificial Intuition and Accelerating Machine Learning
One of the numerous applications of Artificial Intuition is that of accelerating Machine Learning, a long and energy-intensive process, requiringContinue Reading
Monitoring Degradation via Complexity
In a recent blog we introduced a new, systemic complexity based Degradation Index. The reason this index is systemic inContinue Reading
Artificial Intuition 