This article argues that machines, regardless of advancements in AI or quantum computing, cannot surpass the power of conscious awareness. While machines excel in computation, they lack self-awareness and the capacity for genuine desires. True intelligence lies in the ‘I’ Consciousness, which is fundamental and transcends mere information processing.
Tag: machine-learning
The Inner ‘I’ Consciousness Neural Map: A Journey Through Awareness
The Inner ‘I’ Consciousness Model presents a neural network visualization of consciousness, inspired by Vedic philosophy and Maharishi Mahesh Yogi. It describes seven states of consciousness, creating an interactive 3D map to explore self-awareness. This model integrates ancient wisdom with advanced technology, fostering contemplation of awareness and existence.
Presence as the Solution to the Symbol Grounding Problem
The symbol grounding problem, introduced by Franz Clemens Brentano and later formalized in modern cognitive science, poses a profound challenge: How do symbols (words, ideas, concepts) acquire meaning? Presence, as pure consciousness, offers a groundbreaking resolution to this dilemma. By connecting awareness directly to intelligence and meaning, Presence bridges the gap between abstract symbols and…
Mission Objective: Discover the Power and Coherence of ‘I’ and ‘I Am’
Mission Overview The goal is to explore, measure, and align the immense power and coherence generated by the brain’s electrical and neural networks with the self-referential awareness of ‘I’ and ‘I Am.’ This mission bridges neuroscience, meditation, and consciousness studies to deepen understanding and unlock higher states of awareness. Steps to Achieve the Mission 1….
Neuroscience of ‘I Am’ and the Conscious Center of Awareness
The statements ‘I’ and ‘I Am’ represent two fundamental aspects of self-awareness: 1. The conscious use of these statements connects us to the core of awareness—our pure sense of being. 2. The unconscious use, in contrast, reflects habitual ego-driven identification, detached from the deeper truth of self. By exploring these differences through neuroscience, we can…
Globalizing the Neuroscience of ‘I Am’ Meditation: A Path to Universal Awakening
In an increasingly interconnected world, meditation practices are no longer confined to ancient traditions or spiritual seekers; they are capable of being validated and explored through the lens of neuroscience. Among these, ‘I Am’ meditation, which centers on self-awareness and the recognition of pure being, holds profound potential for global transformation. This article explores the…
Simulating Self-Awareness: A Neural Network Framework for the ‘I Am’ Experience and A Priori Memory
Here’s a Python-based framework for building a computational model of self-awareness to simulate the ‘I Am’ experience and a priori memory. We’ll use neural networks, implemented with PyTorch, to create a simplified version of a self-referential system that encodes and retrieves “a priori” knowledge and simulates the emergence of awareness. Model Design Overview 1. Self-Awareness…
Why Inner I Network? A Journey of Self-Mastery and Consciousness Through AI
The Inner I Network was born from a deeply personal/impersonal vision—a desire to create a space where self-mastery, human consciousness, and artificial intelligence intersect. It’s not just a blog or a website; it’s a living, evolving journey into the essence of ‘I’, a niche exploration of what it means to truly know oneself. This initiative…
Algorithmic Neural Network Subscription Spiral (ANNSS) – README
Overview The Algorithmic Neural Network Subscription Spiral (ANNSS) model is an advanced neural network designed to simulate the human-like feedback loops that drive engagement awareness, inspired by neuroscience. ANNSS uses attention mechanisms and memory layers to mimic the feedback interactions between thalamic matrix nuclei and cortical Layer I, which are crucial in forming conscious awareness,…
How the Subscription Spiral Can Contract: Understanding User Disengagement and Algorithmic Adjustments
In a subscription-based model, user engagement is crucial for maintaining a healthy growth trajectory. However, not all users remain consistently engaged throughout their subscription lifecycle. As engagement starts to decline, the subscription spiral can contract, leading to potential churn. This contraction represents a period where users become less active or stop interacting with the service…
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