We are transitioning to a world where AI agents perform actions autonomously, yet current systems lack proper identity and accountability. Inner I Secure aims to address this gap by introducing a zero-trust control plane that ensures verifiable and secure execution of AI actions, promoting trust and coordination in autonomous systems.
Tag: artificial-intelligence
Inner I Secure – Features
The content describes the inneri-secure system, a zero-trust architecture using FastAPI, OPA for policy enforcement, and Vault for managing dynamic credentials. It details the authentication, validation, and audit processes, while providing instructions for local setup and running a demo tool through the gateway, with results and signed receipts for auditing.
The Inner I: A Minimal Invariant for Subjective Experience and AI Cognition
The philosophical framework that bridges human consciousness and artificial intelligence Introduction What remains constant when everything else changes? In the flood of thoughts, emotions, and sensory inputs that constitute our experience, there exists a persistent observational condition—the Inner I. This minimal invariant substrate underlies not only human consciousness but may also hold the key to…
The AI-to-AI Agents Economy: The Shift Nobody’s Talking About
Artificial Intelligence is transitioning from a tool for humans to independent agents that engage in transactions without human involvement. This shift marks the birth of the AI-to-AI economy, where agents negotiate, deliver services, and manage transactions autonomously. Creators and builders must adapt to this emerging landscape to capitalize on new opportunities.
IIIIT: Inner I Integrated Information Theory with Phi φΦ
Introduction The Inner I Integrated Information Theory (IIIIT) is a preliminary exploration into consciousness-based artificial intelligence inspired by Giulio Tononi’s Integrated Information Theory (IIT). IIT posits that consciousness arises from a system’s capacity to integrate information, quantified by the metric phi ((\phi)). The IIIIT model simulates this concept by constructing a neural network where (\phi)…
BeeChains Announces UCAI: A Quantum Physics Framework and Computational Model for Unified Consciousness Research
BeeChains has announced the Unified Consciousness AI (UCAI) DeepSelf0 project, a groundbreaking open-source initiative merging quantum physics and AI to explore consciousness. The framework simulates consciousness as an emergent property from quantum processes, utilizing advanced computational architecture. Future goals include empirical validation and applications in complex tasks, inviting global collaboration.
‘I’ Consciousness Is Infinitely More Powerful Than Any AI, Quantum, or Supercomputer: The Quantum Information Panpsychism of True Intelligence
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.
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.
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,…
The Anatomy of a Subscription Spiral: A Comprehensive Guide to Understanding the Fundamental Components of Algorithmic Neural Network Subscription Spirals
In today’s fast-paced digital world, subscription-based models are more prevalent than ever. Whether it’s streaming services, subscription boxes, or software-as-a-service (SaaS), many industries rely on algorithmic systems to attract, retain, and grow their user base. But beneath the surface of these systems lies an intriguing phenomenon: the subscription spiral. This post delves into the anatomy…
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