Noah Kahan
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2025 on Tumblr: Trends That Defined the Year
Lint Roller? I Barely Know Her
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@ontonix
A New Class of AI Training Data
The success of AI hinges on the quality and diversity of its training data. AI models learn from a vast array of information, which can be broadly categorized into static and dynamic. Static data is often text, symbols, or images. Dynamic data may be sounds, vidoes, or time-depedent data, like an accelerogram during an earthquake. In this blog we introduce Complexity Spectra as a new type of…
The Principle of Ignorance
The Principle of Ignorance is a ‘corollary’ of the Principle of Fragility, which states: Complexity X Uncertainty = Fragility This principle states that highly complex actions (business models, or lifestyles) lead to situations of fragility in uncertain environments (e.g. markets). For example, a highly articulated portfolio may result to be fragile in a turbulent market. In effect, the more an…
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, air traffic, economics, finance, society, or pharma. QCM can measure the complexity of things and explain its nature and constitution. This allows to “select the simpler option” on scientific grounds, not based on sensations or feelings.…
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 Cloud Of Blue Steam By 1989 (1969)3. 1970: Ice Age By 20004. 1970: America Subject to Water Rationing By 1974 and Food Rationing By 19805. 1971: New Ice Age Coming By 2020 or 20306. 1972: New Ice Age By 20707. 1974: Space Satellites Show New Ice Age…
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’, early warnings and identification of crisis precursors in diverse fields and industries (manufacturing, engineering design, economics, finance, traffic control, medicine, etc.). The present blog introduces a new exotic application of the…
Artificial Intuition is "Computational Gut Feeling" - an Emergency Decision System
Gut feeling — also known as intuition, a hunch, or an instinct — is a sudden, often strong, conviction or sense about something without conscious reasoning or clear evidence. It’s a subconscious form of intelligence that draws on past experiences, patterns, emotions, and environmental cues your brain has registered but not fully processed at a conscious level. Gut feeling is fast and automatic.…
Want to try Artificial Intuition?
The fastest and easiest way to try our QCT-powered Artificial Intuition technology is order a mini-PC with a pre-installed, six-month license for its use. There is nothing to install, it is ready to run. All you need to do is prepare data in MS-Excel format, organize it as shown in the slides below, and just drag and drop it onto the OntoNet™ icon. It runs in seconds and produces two key…
The Most Important Thing: Knowing Your Priorities
Regardles of your market, industry, context or situation, it is all about making decisions. Decision making hinges on identifying priorities, i.e. where to focus. Very often, if not always, one must cope with a limited budget (money, time, equipment, manpower, etc.) as well as constraints and conflicting requirements. And yet, decisions must be made, sometimes on the fly. Again, it is paramount…
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-day early warning. Since we only analysed very high level data, like real, estimated and planned consumption, we could only have issued an alarm but without explaining why. Given the immense economic and reputational damage that such events cause, we thought…
QCT and Measuring Physical Processes
The complexity equation shows how it is possible to measure the intensity of physical processes, which can be categorized as Structure->Entropy and Entropy-> Structure transformations. What this means is that sometimes structure is turned into chaos or disorder becomes structure. Not surprisingly Nature is full of examples precisely because, at a very high level, it does these two things.…
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 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 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, in many cases in industrial projects with large corporations. This blog focuses not on listing these application cases, or categorizing them. Rather, the goal is to show what conditions and contexts can motivate the usage of this unique technology regardless…
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 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…
Complexity Management = Business Profitability and Survival
The negative consequences of high complexity for corporations and organizations are profound and multifaceted, impacting efficiency, agility, and ultimately, their bottom line and long-term viability. High complexity acts as a silent tax on every aspect of an organization, draining resources, slowing momentum, stifling innovation, and ultimately threatening its survival in a fast-paced market.…
Accelerating Machine Learning - An Update
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…
Complexity-based Augmentation of Control Systems
Complexity-based augmentation of conventional control systems means there is an additional control layer which produces feedback so as to drive a the complexity of given system to desired levels. The block diagram below illustrates the concept and shows the QCM component contributing to tradition feedback loop. In essence, a complexity-based control system is an advanced hierarchical type of…
Why Science Needs a New Correlation Model
The Quantitative Complexity Theory relies on a new, modern approach to correlation – the generalized correlation – which overcomes the well-known problems of mainstream approaches such as Pearson’s or Spearman’s correlation. The importance of correlation cannot be overstated. This is because the presence of a correlation imples the existence of a rule and rules are what make things work. By rules…