Creating intelligence: computational foundations for AGI

General artificial intelligence (AGI) has been the horizon of computing for decades. While current deep learning models require massive resources and vast amounts of data, new computational theories inspired by the human brain propose alternative paths based on discrete logic, sets, and subset search. This approach, which combines set theory with hyperdimensional computing, allows information to be represented in sparse binary patterns and retrieved with constant complexity, eliminating the bottlenecks of matrix multiplications. The result is an architecture where associative memory emerges naturally, and learning occurs through topological plasticity rather than weight adjustments. This paradigm not only unifies autoassociative and heteroassociative learning but also aligns with the structure observed in the cerebellum and neocortex, suggesting that subset pairing could be the fundamental computational engine of cognition. For companies seeking to advance in this field, having AI for businesses that integrate these principles is key. At Q2BSTUDIO, we understand that true innovation lies not only in algorithms but in how they are applied to real problems. That is why we offer high-level artificial intelligence, as well as custom applications and custom software that enable the implementation of everything from AI agents to aws and azure cloud services. Additionally, our business intelligence services and power bi solutions help visualize complex data, while our cybersecurity offering protects the infrastructures that support these systems. The creation of general artificial intelligence is not a distant dream; with the right computational foundations and specialized technical support, companies can begin building tomorrow what science fiction imagined yesterday.