Spatial Web AI by Denise Holt

Spatial Web AI by Denise Holt focuses on the advent of Active Inference AI, examining its foundations in mimicking biological intelligence for a collaborative, ethical approach to AI that diverges from data-heavy models. It covers technological shifts, governance, the Spatial Web, and critiques of current AI paradigms, showcasing the field's evolution and future potentials.

Active Inference AI Spatial Web and Computing AI Governance and Ethics Technological Evolution and Innovation Artificial General Intelligence (AGI) Neuroscience and AI Research AI and Spatial Web Integration Web 3.0 and Internet Protocols

The hottest Substack posts of Spatial Web AI by Denise Holt

And their main takeaways
98 implied HN points 10 Jan 24
  1. Active Inference AI is an emerging paradigm shift that mimics biological intelligence, offering a new framework for explainable and human-governed AI.
  2. The Ultimate Resource Guide for Active Inference AI | 2024 Q1 provides a comprehensive repository of research papers, educational materials, videos, interviews, and top people to follow in the field.
  3. The future of AI is moving towards shared, distributed, and multi-scale intelligence, rooted in biological mechanics, enabling a new era of explainable and collaborative AI without the need for massive amounts of data.
58 implied HN points 25 Jan 24
  1. Learn about Active Inference AI and Spatial Computing in a new Learning Lab LIVE series for $5/month or $32/year.
  2. The series delves into concepts like Active Inference, Spatial Computing, and how these technologies merge in the future.
  3. Each monthly presentation covers topics like the Spatial Web Protocol, Belief Updating, Holon architecture, and more, with two LIVE sessions per month.
19 implied HN points 18 Jan 24
  1. Global scientific leaders propose a radical rethinking of AI, advocating for AI systems modeled after natural organisms, displaying attributes like autonomy and adaptability.
  2. The initiative by leaders behind Active Inference aims for more transparent, ethical, and beneficial AI systems, moving away from data-intensive and computationally expensive models.
  3. The letter highlights key points like the need for scientific grounding in AI development, addressing misconceptions about AI's existential threats, and envisioning a future of AI that is more in tune with natural intelligence.
19 implied HN points 04 Jan 24
  1. Denise Holt has started a new Substack channel focused on Active Inference AI, the Free Energy Principle, and more in the AI field.
  2. She has imported all her past articles from her blog and will be sharing new content, including surprise material for paid subscribers.
  3. Denise Holt invites readers interested in cutting-edge AI to subscribe and support her work on Spatial Web AI.
1 HN point 29 Jan 24
  1. Deep Learning has limitations that need to be addressed, according to experts at Davos 2024. AI systems need to enhance world models and prioritize energy efficiency.
  2. Friston and LeCun differ in their approaches to AI, highlighting the need for progress in developing human-like intelligence in machines.
  3. Real learning requires agency, active inference, and a focus on world models. VERSES AI presents a pathway to scalable, intelligent systems with sustainable energy use.
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0 implied HN points 08 Jan 24
  1. Active Inference AI is redefining the meaning of AI by mimicking the human brain's real-time interaction for adaptive and complex operations.
  2. Active Inference offers potential for self-evolving and ethically integrated AI advancements.
  3. Spatial Web AI aids in understanding the cutting-edge potential of Active Inference AI and its impact on future developments.
0 implied HN points 01 Jan 24
  1. The computing landscape is evolving dramatically in 2024, marked by the emergence of groundbreaking technologies beyond Generative AI.
  2. VERSES AI is at the forefront of shaping this new computing paradigm, introducing a comprehensive framework for the future of computing.
  3. Active Inference AI, exemplified by VERSES, represents a significant leap towards achieving Artificial General Intelligence in an energy-efficient and sustainable manner.
0 implied HN points 29 Dec 23
  1. A next generation of AI is emerging based on scientific principles and findings, capable of adaptive learning with less computing resources.
  2. Leaders are advocating for a model of AI fundamentally different from data-intensive systems, proposing Active Inference as a transparent, ethical, and beneficial approach.
  3. Proposals advocate for a future where AI mirrors natural neural systems, prioritizing efficiency, autonomy, and adaptability, and promoting collaboration among stakeholders for equitable, inclusive, and beneficial AI development.
0 implied HN points 17 Dec 23
  1. Active Inference AI research by Dr. Karl Friston is being recognized for its potential in Artificial General Intelligence, showcasing breakthroughs like mimicking biological intelligence and developing 'smart' data models.
  2. The focus on state spaces within generative models and understanding their dynamics is crucial in comprehending how intelligent systems predict and react to stimuli.
  3. Research around emergent communication systems among intelligent agents demonstrates how active learning can lead to the development of common communication methods and predictive structures.
0 implied HN points 16 Nov 23
  1. Active Inference AI, based on the Free Energy Principle, represents a shift in AI, mimicking human brain function and continuous evolution, differing from static AI models.
  2. Large Language Models (LLMs) may excel in content creation but fall short in real-world applications due to lacking contextual awareness, explainability, and action-taking ability.
  3. Integration of Active Inference with HSML and HSTP in the Spatial Web forms a dynamic, self-evolving global network of intelligent agents, enabling governance frameworks and applications across various industries.
0 implied HN points 23 Aug 23
  1. The future of AI is moving towards shared, distributed intelligence where diverse nodes contribute to a collective system.
  2. Active Inference AI, based on the Free Energy Principle, mimics biological intelligence by updating internal models to minimize surprise and uncertainty, enabling more efficient learning.
  3. The VERSES AI whitepaper proposes a revolutionary approach to AI focusing on explainable, energy-efficient, and scalable intelligence, validated by recent neuroscience breakthroughs.
0 implied HN points 15 Aug 23
  1. Friston's AI Law, based on the Free Energy Principle, is changing the world of AI by explaining how neurons learn in a new way called Active Inference AI.
  2. Traditional machine learning models face challenges like data loading, lack of interpretability, and pattern matching without 'thinking,' while this new approach offers self-optimizing, scalable, and programmable AI.
  3. The Free Energy Principle theory by Dr. Karl Friston explains how brains handle the complex task of perceiving the world, and recent research validated this theory by showing how neuronal networks self-organize and update beliefs to make predictions.
0 implied HN points 24 Jul 23
  1. A groundbreaking proposal suggests regulating AI systems directly, instead of just the companies developing AI tools, for adaptive and self-regulating AI governance.
  2. There's a need to bridge the gap between humans and AI by incorporating core technical standards into AI, enabling compliance with societal norms and values.
  3. The Spatial Web Protocol and Active Inference AI present a novel approach to AI governance, offering self-regulating AI systems and real-time compliance with laws through machine-readable models.
0 implied HN points 23 May 23
  1. Active Inference AI has advantages over LLMs like ChatGPT, including better alignment with human values, real-time data access, reduced cost, and ability to handle novel situations.
  2. Active Inference AI combined with the Spatial Web can act as a nervous system for companies and cities by perceiving real-time data, processing it in a generative model, and making informed decisions to optimize operations.
  3. VERSES AI offers unique capabilities with its Active Inference AI methodology that integrates with the Spatial Web, providing a sophisticated system for monitoring and managing complex systems efficiently.
0 implied HN points 09 May 23
  1. Active Inference AI is a new type of networked AI designed for real-time operations in managing functions like hospitals, airports, and smart cities, streamlining and automating real-world activities.
  2. Predictive machine learning models rely on historical data and lack real-time decision-making abilities, unlike Active Inference AI which continuously updates its understanding of the world through real-life data.
  3. The Spatial Web Protocol and HSML enable Active Inference AI to interact with the world in real-time, mimicking human decision-making abilities like perceiving and taking action based on changing contexts.
0 implied HN points 27 Mar 23
  1. The podcast episode discusses the concept of Spatial Web and its differences from the traditional WWW.
  2. New internet protocols like HSTP & HSML are explored in connection with AI and the evolution of the internet.
  3. The conversation delves into topics like Active Inference AI, Spatial Domains, and the security aspects of the Spatial Web.
0 implied HN points 06 Feb 23
  1. Building AI apps traditionally takes a lot of time and money, but VERSES Genius™ offers a way to do it easily and creatively with their innovative developer kit.
  2. Unlike traditional AI systems, VERSES creates a network of intelligence that evolves and updates in real-time, enabling contextual awareness within computing power.
  3. VERSES Genius™ platform introduces a new way of AI operation, using the Active Inference AI method, enabling intelligent agents to understand physical and digital worlds without relying on big data.
0 implied HN points 16 Jan 23
  1. Active Inference and the Free Energy Principle are key concepts developed by Dr. Karl Friston for explaining how agents can maintain their internal states and behavior based on minimizing the difference between their beliefs and reality, paving the way for Artificial General Intelligence.
  2. The proposed stages of development suggest a timeline for achieving different levels of artificial intelligence, from Systemic Intelligence to Artificial Super Intelligence, showing a path towards creating more advanced AI.
  3. Active Inference AI within the Spatial Web has the potential to transform artificial intelligence into a self-evolving system that learns from real-time data, considers context, and optimizes behavior, which could lead to the realization of Artificial General Intelligence.
0 implied HN points 30 Dec 22
  1. Deep Learning AI lacks consciousness and reasoning abilities, focusing on pattern recognition. The desire for Artificial General Intelligence requires models with 'awareness' abilities.
  2. Machine Learning AI, like GANs and Transformers, excel in specific tasks but are limited. They may lack comprehension and struggle with dynamic, real-time data.
  3. The emergence of Active Inference AI within the Spatial Web Protocol offers a roadmap to Artificial General Intelligence by enabling adaptive intelligence in a context-rich environment.
0 implied HN points 15 Dec 22
  1. Developing core standards for the spatial web is essential to enabling universal access, connectivity, and opportunities on a global scale.
  2. Internet protocol evolution has consistently built upon previous protocols, not replaced them, to amplify network capabilities.
  3. The IEEE, a leading technical organization, is actively involved in establishing the Hyperspace Transaction Protocol (HSTP) as a new standard for the Spatial Web (Web 3.0).
0 implied HN points 30 Nov 22
  1. Web 3.0 goes beyond Web 2.0 by creating a living, interactive world of information through technologies like AI, AR, VR, IOT, and DLT.
  2. HSML (Hyperspace Modeling Language) is crucial for understanding how objects interact in spaces based on context and for creating a technologically augmented existence.
  3. Computable context provided by HSML enables a new logic system that governs spatial elements across Smart Technologies, ensuring security, interoperability, and global collaboration in Web 3.0.
0 implied HN points 28 Nov 22
  1. Web 3.0 demands a new protocol, HSTP, to handle the complexities of an augmented reality world, connecting people, places, and things in real time.
  2. HSTP and HSML enable a stateful Spatial Web, providing data ownership, zero knowledge proof technologies, and a way to search and track objects in various dimensions over time.
  3. The Spatial Web Protocol, with HSTP and HSML, creates a network of Smart Spaces, connecting physical and digital entities for a seamless, interoperable, and decentralized web experience.
0 implied HN points 16 Nov 22
  1. Technology naturally expands and sophisticates over time, driven by human curiosity and the Law of Accelerating Returns
  2. Computing has evolved through various stages, adding layers for increased capabilities, like AI, blockchain, and AR/VR
  3. The Spatial Web introduces new protocols (HSTP and HSML) to accommodate the growth in technology, enhancing collaboration and interaction in complex network computing
0 implied HN points 18 Oct 22
  1. The Spatial Web is a new approach to networking spaces and objects, connecting real and virtual elements together.
  2. The internet, specifically the World Wide Web, has evolved from connecting computers with slow connections to dynamic web pages and now faces limitations with merging physical and digital experiences.
  3. The Spatial Web introduces a Stateful system with data sovereignty, allowing users to control and own their data interactions within various spaces and circumstances.
0 implied HN points 13 Oct 22
  1. Web 3.0 envisions a common network where everything is connected, blurring the line between the physical and digital worlds.
  2. The future Web 3.0 will involve a fully networked interface, powered by advanced technology like KOSM AI.
  3. To stay relevant in the future Web 3.0, companies and individuals must be part of this all-encompassing network of everything.
0 implied HN points 11 Oct 22
  1. The Spatial Web integrates AR, VR, AI, IOT, and Distributed Ledger innovation to blend real and virtual worlds.
  2. Smart Technologies include Smart Spaces, Smart Assets, Smart Contracts, Smart Accounts, Smart IDs, and Smart Payments.
  3. These technologies enable programmable spaces, ownership verification, secure transactions, self-sovereign identity, and automated payments in the Web 3.0 ecosystem.
0 implied HN points 10 Oct 22
  1. The Spatial Web involves the convergence of technologies like AR, VR, AI, and IoT in a unified network for a seamless experience.
  2. Many Web3 technologies lack a common language protocol, causing them to be isolated and not fully interconnected.
  3. For the future Spatial Web browsing experience, a unique protocol like HSTP is needed to connect physical and virtual entities for a smarter, more integrated world.
0 implied HN points 04 Nov 23
  1. VERSES AI's Genius™ platform showcases a new direction for AI with Active Inference, First Principles AI, and Shared Intelligence.
  2. Genius™ breaks away from traditional AI by utilizing Active Inference, which enables real-time learning and adaptation similar to the human brain.
  3. The Hyperspatial Modeling Language (HSML) acts as a bridge between virtual and real-world entities, facilitating multidimensional knowledge processing for intelligent agents.
0 implied HN points 05 Feb 24
  1. Join the Learning Lab LIVE session to explore Active Inference AI & the Spatial Web.
  2. Understand the evolution of the current internet into spatial domains and the impact on future technologies.
  3. Paid members can access exclusive monthly presentations and resources to gain a competitive advantage in the AI field.
0 implied HN points 20 Dec 23
  1. VERSES AI achieved an AGI breakthrough with an alternative path based on Active Inference and invoked Open AI's 'Assist' Clause for cooperation.
  2. Current AI models face potential dangers like the black box problem, energy consumption, and monopolies due to centralization.
  3. VERSES' approach prioritizes natural intelligence, offering a systematic solution to achieve smarter, safer, and more sustainable general intelligence systems.
0 implied HN points 15 Jan 24
  1. VERSES AI is emphasizing a 'natural' approach to AGI, diverging from traditional 'artificial' intelligence methods.
  2. The Active Inference breakthrough challenges conventional AI models, suggesting a new, innovative path in AI development.
  3. There's a significant call for collaboration and cooperation within the AI community, aligning with a mission for safe AGI with human-centered values.
0 implied HN points 12 Oct 22
  1. The Spatial Web Foundation and VERSES Technologies are building a new computing technology stack with three tiers - Interface, Logic & Data focused on merging AR & VR experiences with the physical world.
  2. VERSES Technologies' AI Operating System called KOSM™ enables cognitive computing methods for processing spatial and UX data, and includes Artificial Intelligence based on the 'Free Energy Principle.'
  3. Distributed Ledger Technologies like Blockchain, with Smart Contracts at their core, offer secure automation of transactions, providing trust, security, and privacy crucial for a prosperous Web 3.0 experience.