Complexity Economics Engineering Medicine Society

Artificial Intuition versus ML, AI and LLM

Artificial Intuition is not Artificial Intelligence. It is a technology that is orthogonal to Machine Learning, Artificial Intelligence and Large Language Models. The table below should set the record straight.

Artificial Intuition computes answers, it doesn’t guess them. There is no element of statistics or probability involved in producing a solution. The scientific foundations of Artificial Intuition lie in physics and information theory, not data manipulation. Its core algorithm is powered by our second-generation QCM engine.

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Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

2 comments on “Artificial Intuition versus ML, AI and LLM

  1. Mike Sheh's avatar
    Mike Sheh

    👍

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  2. Dr Apanisile Temitope Samuel, PhD's avatar

    Thank you my boss. Artificial Intuition has taken us back to what statistics and probability ran away from but nature is forcing us back. However, thank goodness for Ontonix for bringing back the methodology grounded in the proper science that nature appreciates.

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