
Scientific Resources
Beyond the Illusion of Thinking – Qubic’s Path to True Intelligence
Explore our original content series written by the AGI for Good scientific team—plus our scientific paper anchoring the movement. These resources offer thought-provoking insights into the design, direction, and responsibility of Artificial General Intelligence.

Published December 2024
Qubic Scientific Advisors Dr Jose Sánchez & David Vivancos

Did you know that first estimates indeed show that Qubic could be one of the fastest supercomputers on the planet?
Read the Blog Post
Relive the most inspiring moments from Geneva—where global science met purpose.
Watch the highlights
"After four days listening to the latest trends in AI, it’s clearer than ever why Qubic matters. Our unique approach tackles the exact challenges industry leaders are talking about."
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We’ve just returned from ICLR, the International Conference on Learning Representations, one of the four leading AI conferences worldwide.
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This paper introduces Qubic, a Layer 1 blockchain network designed to address these challenges through novel economic mechanisms and a decentralised governance model.
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Dive into the insights of two of Qubic's lead AI researchers, David Vivancos and Dr. Jose Sànchez, to understand how AIGarth aims to transcend the limitations of current AI and forge truly self-evolving intelligence.
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Today’s AI, from chatbots to specialized tools, is stuck in a rut, mimicking intelligence without truly understanding. But Qubic’s Aigarth is different.
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Explore the neuroscience and philosophy behind consciousness in humans and machines. See what it would take for AI to truly “wake up."
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Qubic just released the first open-source components of Aigarth Intelligent Tissue 1.0—a new substrate for building AGI step by step.
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Drawing from neuroscientific principles, game theory, and real-world studies, Qubic Scientific Advisor, Daniel Díaz explains why centralizing AI in the hands of a few giants is risky—and how Qubic, a protocol inspired by biological intelligence, uses decentralization and clever economics to chart a better path.
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LLMs predict words, not thoughts. This week we explore why AI “prediction” is nothing like the brain’s.
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