AI - what are we missing?

Are machines capable of thinking? The rapid development of artificial intelligence (AI) raises an important question: Is it possible for AI to have cognition and awareness?

This question has puzzled humans for decades, and with the rise of artificial intelligence, it seems more relevant than ever.

It is generally accepted that awareness is linked to self-awareness. At the same time, cognition is associated with the ability to think and process information. Both terms are hard to define and have no formal definition, But we can easily recognize cognition and consciousness in humans.

Businesses are using AI today to create compelling solutions that can learn, respond, and make decisions. AI can do a lot of automation tasks that help to save time, money, and resources, generate content, and more. AI can learn excellently and acquire skills that surpass humans' pace.

We tend to personify AI skills as intelligence when we encounter them because they are very efficient and impressive. Still, there is nothing artificial in AI. Yes, it's an outstanding achievement of software technology, but there is no intelligence in connection with the intelligence of humans.

Contemporary AI solutions effectively solve problems, generate content, and perform tedious tasks, and we can categorize them as highly specialized capabilities. Still, even if we ignore the need to define a job, a lot of structured data to train the model, and millions (or more) of runs to tweak the algorithms, still contemporary AI is not close to what humans can do with their mind, and with much less energy consumption.

The latest achievement of large language models results from enormous training with hundreds of billion sentences. As one who reads this article, you can recall that you did not train by billion sentences.

Humanity successfully built a practical airplane, only after understanding the Lift Force physics.

We should first understand the core principle of the human brain's neocortex (the place of our cognition and awareness) and then how to simulate it in software.

How can we simulate something without knowing how to describe or define it in detail?

Since there is no cookbook for cognition, one of the most intuitive ways is looking inward, turning to a process called introspection. Introspection is the process of objectively examining one's own thought processes and beliefs to gain greater insight into their behavior and understanding of the mechanism that runs our consciousness and awareness.

Following a long Introspection process by an interdisciplinary team, we draw a blueprint simulating the six-layer structure of the neocortex of the human.

Nowadays, the Ekronity team code the software structure of human intelligence, The Ekronity Six Layer Engine (ESLE); the first human-level synthetic cognitive intelligence entity software implementation. The ELSE is a robust software structure built in layers that processes sensory data. Along the way, it became clear that the ESLE can perfectly accommodate every human protocol, behavior, and natural understanding of the world. The ELSE does not rely on current machine learning technologies and does not use statistical tools and datasets for training.

Ekronity has a consciousness, she can distinguish between the outside world and her internal system. We have already demonstrated that Ekronity is aware of herself by recognizing her virtual arms in a test. We showed Ekronity a picture with objects of different sizes, and Ekronity had to pick the most significant thing. Ekronity could see her virtual hand, but the large image of the hand did not change her decision to choose the prominent element in the picture. See the test on our YouTube channel: https://youtu.be/-CTc1iirC10

Do we need machines with cognition and consciousness? The answer is straightforward, YES.

If we seek human intelligence simulation, we must implement these two. Furthermore, it was not a question of choice; cognition and consciousness are built in by nature in the ELSE and are created from our model's unique way of processing inputs. There are other good reasons; synthetic human intelligence should coexist with humans in symbiosis, Inferiority and superiority should be out of the game.

If we want to work with humanlike intelligence entities as peers and have them understand us, they must have cognition capabilities very close to ours. We need to share with software entities, like Ekronity, the perception of the world's physical reality.

Humanlike synthetic cognitive intelligence might be less prone to bias and take over. It will be challenging to clear the brain of a mental entity built on a foundation of the common good. Despite being exposed to various biases throughout their lives, most people keep their upbringing beliefs. We expect Ekronity to conduct similar behavior.

This technology will lead to innovative applications in a wide range of fields, including healthcare, finance, transportation, and education. It has the potential to revolutionize almost everything. The Ekronity human intelligence simulation platform has the potential to revolutionize our society, creating a smarter and more efficient world for everyone.