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THE HISTORY OF AIGO

Our founder, AGI Pioneer, Peter Voss saw a different future more than twenty years ago.

We coined the term “AGI” (Artificial General Intelligence) over 20 years ago and we’ve spent every waking moment since then developing AGI through Cognition.

Today, as technologies like ChatGPT highlight AI’s incredible potential, we stand on the brink of a monumental AGI breakthrough. 

AGI is set to transform the world as profoundly as fire, electricity, and the internet.

To create a future where the quality of life for everyone in the society is radically improved as each one gets an increasingly intelligent and hyper-personalized assistant that significantly enhances productivity, engagement, problem-solving ability, and the overall well-being. In short, radical abundance for everyone in a very pragmatic way.

20+ years in the making:

After taking his ERP software company to IPO and exiting, Peter spent about 5 years studying multiple aspects of intelligence. This included such fundamental philosophical and epistemological questions as ‘what is reality, and what is knowledge?’, ‘how do we obtain knowledge and certainty?’; exploring definitions of intelligence; working on a psychometric project to better understand how different dimensions of intelligence can be measured; studying differences between animal and human intelligence; and learning about cognitive development in children. Naturally, he also looked at software engineering (including knowledgebases and language development), and at the many subfields of artificial intelligence, such as formal logic, rule systems, neural nets, machine learning, and cognitive architectures.

This research and development culminated in a new theory and model of human-like cognition and a conclusion that data & compute intense approaches like Machine Learning (ML) and Deep Learning (DL) cannot solve cognition, therefore they can’t help us achieve AGI.

There is no “I” in AI without Cognition.

This rsulted i developing our “Integrated Neuro-Symbolic Architecture (INSA)” that combines the accuracy and expressive power of symbolic systems together with the powerful non-brittle pattern matching ability of neural networks, deeply integrates all the cognitive mechanisms required by human-level/ human-like intelligence while consuming 20 watts of power that our brains need rather than the massive power requirement for training and operating LLMs. LLMs are not the path for AGI.

INSA is the most viable and direct path to achieve AGI.