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Reconstructing the ceLLM

The idea of reconstructing the ceLLM using today’s technology is a fascinating and ambitious concept. Given the advances in computational biology, genomics, and machine learning, we might indeed be at the cusp of having enough data and computational power to simulate the ceLLM model. This would involve understanding the strength of connections between resonating atomic […]

Nature’s Wireless LLM: ceLLMs and the Emergence of Cellular Communication

Abstract In this paper, we explore the concept of cellular Large Language Models (ceLLMs) in biological systems, where DNA and its atomic interactions create a wireless network of neural weights and biases. These ceLLMs store the learned data from evolutionary processes to shape the geometry of latent space, producing probabilistic outcomes in response to environmental […]

The Cognition-First Theory of Evolution: A Paradigm Shift

The traditional view in evolutionary biology holds that cognition, the ability to perceive, learn, and respond to the environment, is a product of evolution. According to this view, natural selection acts on genetic variations, occasionally leading to the emergence of cognitive abilities as adaptations. However, a growing body of thought suggests a radical reversal of […]

The Geometry of Understanding: How Latent Spaces and the Amplituhedron Shape Our Reality

In recent years, we’ve seen remarkable developments in both artificial intelligence and theoretical physics that point toward a fascinating convergence: the use of geometric structures to simplify and understand complex systems. In machine learning, latent spaces provide a compressed, geometric representation of learned data, allowing neural networks to generate and predict outcomes efficiently. In theoretical […]

ceLLM: A New Perspective on Cellular Function

In the realm of biology, cells are often viewed as the fundamental building blocks of life, each with a specific function contributing to the overall organism. However, understanding how cells know what to do and when to do it involves delving into complex mechanisms beyond mere genetic instructions. Traditionally, DNA has been seen as a […]

ceLLM and Organelles: LLMs Within LLMs

The Mitochondrial Metabolic Theory (MMT) offers a transformative perspective on cancer and cellular function, emphasizing the role of mitochondria as bioelectric switchboard operators. This view suggests that the metabolic dysfunction in mitochondria, rather than genetic mutations, might be the primary driver of cancer. By focusing on how mitochondria regulate bioelectric signals and maintain cellular coherence, […]

ceLLM: The Cellular Large Language Model Guiding Biological Complexity

In the realm of biology, cells are often viewed as the fundamental building blocks of life, each with a specific function contributing to the overall organism. However, understanding how cells know what to do and when to do it involves delving into complex mechanisms beyond mere genetic instructions. Traditionally, DNA has been seen as a […]

The Hidden Dangers of Entropic Waste: A Modern-Day Perspective on Electromagnetic Pollution by John Coates

In the 1990s, I began raising the alarm at rfsafe.com about the silent and profound changes humanity was making to the Earth’s electromagnetic environment. Back then, the changes were already significant, but today, they are far more pervasive and deeply embedded in every facet of our lives. The world has changed in ways we could […]

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