Building the foundations for safe, scalable, and systemic artificial intelligence.
Architecting the
Cognitive Age
Research focused on moving beyond narrow benchmarks towards robust, reasoning-capable systems.
Paradigm Shift
The solution to creating smarter and more efficient AI lies not just in increasing hardware power, but in a fundamental change in the approach to the operational logic of intelligence. Today, a transition from extensive scaling to intensive optimization of cognitive processes is critically necessary.
Cognitive Efficiency
The Cognitive Efficiency Framework shifts the emphasis from data accumulation to attention regulation mechanisms. Implementing "Entropy Gateways" and "Attention Hygiene" blocks information noise, preventing cognitive vulnerability and preserving rational decision-making under uncertainty.
"The future belongs to AI that reasons without noise — on existing silicon, with attention control instead of infinite scaling."
The General Theory of Stupidity
A Formal Model of Cognitive Vulnerability
Published in the scientific journal:
«Science, Technology and Education» 2025. № 4 (100) ISSN 2312-8267
Published in the collection of works:
CXI International Scientific and Practical Conference «International Scientific Review of the Problems and Prospects of Modern Science and Education». USA, Boston, December 16-17, 2025. ISBN 978-1-64655-169-9
The "Smart Stupidity" Paradox
The model resolves the contradiction observed by Stanovich (2009): why do smart people believe in irrational concepts?
Research shows that being smart doesn't stop you from being biased. In fact, a high IQ can actually make things worse: intelligent people are better at inventing complex arguments to justify their wrong beliefs. This makes a "smart fanatic" far more dangerous than someone who simply doesn't know better.
Core Research
View All AreasEfficient Compute
Optimizing matrix operations and memory bandwidth to reduce the carbon footprint of training large models.
Cognitive Architectures
Moving beyond transformers to recursive and neuro-symbolic networks that can reason, not just predict.
Systemic Safety
Embedding interpretability and guardrails directly into the model weights, ensuring alignment by design.
Ecosystem & Partners
We build a network of institutional collaboration, bridging academic knowledge, industrial capacity, and innovation platforms.
Learn more about our institutional collaboration network and partnership opportunities. More about the network
