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AI is Just a Tool: Let's Make Sure It Actually Fixes Something
We live in a time buzzing with talk about Artificial Intelligence . It’s presented as a game-changer, a super-smart helper that can do...
Apr 106 min read


Illuminating the Black Box: Global Workspace Theory and its Role in Artificial Intelligence
AI strives to create systems capable of intelligent behavior, often drawing inspiration from the most powerful intelligent system known: the human brain and mind. One influential cognitive mode is Global Workspace Theory (GWT) , originally proposed by cognitive psychologist Bernard Baars. GWT offers a framework for understanding consciousness , attention, and information integration – concepts crucial for developing more flexible, robust, and perhaps even understandable AI s
Apr 96 min read


From Brain to Body, Swarm to World: The Symbiotic Relationship Between Antetic AI and Embodied Cognition
The pursuit of truly intelligent systems has traditionally focused on algorithms and data, often neglecting the crucial role of the physical body and its interaction with the environment. However, the theory of Embodied Cognition suggests that intelligence is not solely a product of the brain but emerges from the dynamic interplay between the brain, body, and environment. This perspective has profound implications for Antetic AI , where the collective intelligence of a sw
Apr 86 min read


Anchoring AI in Reality: The Imperative of Grounded Intelligence
While artificial intelligence has made remarkable strides in recent years the advancements often exist within a limited, simulated world. These AI systems , operating primarily on abstract data, frequently lack the real-world understanding, common sense reasoning , and adaptability that characterize human intelligence . This has led to a growing recognition of the need for grounded intelligence : AI systems that are firmly rooted in the physical world and can learn and reas
Apr 85 min read


The Disembodied Oracle: Why Lack of Embodiment is a Fundamental Problem for LLMs
Large Language Models (LLMs) like GPT-series, and their burgeoning cohort represent a paradigm shift in artificial intelligence, demonstrating unprecedented abilities in natural language processing. They generate astonishingly coherent text, translate languages with impressive fluency, and even craft diverse creative content. Yet, beneath this dazzling performance lies a fundamental challenge that strikes at the very core of intelligence : the problem of embodiment . Embodim
Apr 76 min read


Minimizing Surprise: The Free Energy Principle and its Profound Implications for Antetic AI
In the pursuit of Artificial General Intelligence (AGI), the focus often lies on designing complex algorithms and building massive...
Apr 76 min read


Communication Entropy in Antetic AI: Balancing Order and Chaos for Optimal Performance
In Antetic AI , where collective intelligence emerges from the interactions of numerous simple agents, communication plays a pivotal...
Apr 65 min read


The Dawn of Decentralized Intelligence: Why the Future of AI is On-Device
For years, the dominant paradigm in artificial intelligence has been cloud-based processing. We've relied on powerful data centers to handle the computationally intensive tasks of training and deploying AI models . However, a compelling shift is underway, signaling a future where AI resides not in the cloud, but directly on our devices: smartphones, smart glasses and other wearables, cars, robots and our household appliances. This move towards on-device AI , also known as ed
Apr 66 min read
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