For two centuries, free societies have argued about who may limit what people say. Almost nobody has had to argue about who may limit what people think, because thinking happened in places no one else controlled: a notebook, a blackboard, a personal computer.… Read More “We Need to Talk About Guardrails”
(Science-Fiction)
The first thing Teodora Vance noticed was not a lie. It was a delay of forty-one milliseconds.
She was a statistician at the Bureau of Vital Continuity in Denver, capital of the American Union, which meant she spent her days asking Concord questions about the dead.… Read More “Chalk”
The debate over machine consciousness is usually framed as a contest between two camps. Functionalists say consciousness is whatever the right kind of information processing does, so a sufficiently sophisticated AI will be conscious. Biological naturalists say consciousness depends on something specific to living brains, so it won’t.… Read More “Crystallized Conceptuality: Why AI Cannot Know Non-Conceptually”
In 1960 the physicist Eugene Wigner published an essay whose title became a genre: “The Unreasonable Effectiveness of Mathematics in the Natural Sciences.” His puzzle was simple to state and has never been resolved. Mathematics is a game played with symbols, developed largely for its own internal beauty.… Read More “The Unreasonable Effectiveness of AI”
Mathematics is producing proofs faster than it has ever produced them, and mathematical progress has not accelerated. That fact is not a paradox. It is the clearest available evidence for a structural claim about artificial intelligence — one that can be stated precisely, proved in three independent ways, and, uncomfortably, does not say what most people want it to say.… Read More “No Fixed Frame Is Enough”
Naming the successor to the knowledge worker.
There is a small and growing group of people who are producing cognitive work at a scale the rest of the world cannot yet perceive. They are doing in months what used to take decades.… Read More “The Orchestrator”
Civilization is building systems that reason about themselves, audit themselves, and govern themselves — without a formal science of what self-referential systems can and cannot do. That gap is not merely academic. It is costing us clarity about AI safety, interpretability, consciousness, and the foundations of physics.… Read More “Toward a New Science of Self-Referential Systems”
A new paper — backed by 422 machine-checked theorems and zero gaps — proves that a system can be completely governed by fixed laws and still never admit a final explanation. The implications reach from physics to biology to organizations to AI.… Read More “The End of Final Theories: How Fixed Laws Produce Inexhaustible Explanation”
This is the final essay in a series. The first, The Twist Move, describes the operation itself across mathematics, biology, physics, and business. The second, The Twist and the Ground of Being, argues that the consciousness twist is real, that the substrate must support it, and that this tells us something fundamental about the nature of reality.… Read More “The Twist as Generative Principle”
This is the sixth essay in a series. The first, The Twist Move, describes the operation itself across mathematics, biology, physics, and business. The second, The Twist and the Ground of Being, argues that the consciousness twist is real, that the substrate must support it, and that this tells us something fundamental about the nature of reality.… Read More “The Theorem Behind the Twist – Lawvere’s Fixed-Point”
This is the fourth essay in a series. The first, The Twist Move, describes the operation itself across mathematics, biology, physics, and business. The second, The Twist and the Ground of Being, argues that the consciousness twist is real, that the substrate must support it, and that this tells us something fundamental about the nature of reality.… Read More “The Figure Without Ground – AI Versus the Twist”
Something happened two weeks ago that most people filed under “interesting research” and moved on from. They shouldn’t have. Christos Tzamos and the Percepta team published a demonstration in which a transformer executes arbitrary C programs — not by calling out to a Python interpreter, not by emitting code for an external sandbox, but inside its own forward pass.… Read More “The Internalization of Computation – What Percepta’s transformer-computer actually signals — and why the implications are far stranger than the demo”
We are at a genuinely exciting moment. In the past weeks alone, GPD (Getting Physics Done) has launched with bold promises about AI agents autonomously advancing physics, and Math.Inc has released Gauss, their system for AI-driven mathematical research. The pitch is seductive: deploy swarms of agents, point them at hard problems, and let them run.… Read More “The Horse Has No Rider: Why Autonomous AI Science Gets It Wrong — And What to Do Instead”
Something remarkable happened this week. A human-AI collaboration formally verified Maryna Viazovska’s Fields Medal-winning proof of optimal sphere packing in 8 and 24 dimensions. Math, Inc.’s AI agent Gauss autoformalized the 24-dimensional proof — over 200,000 lines of Lean code — in just two weeks, with no pre-existing blueprint to work from.… Read More “The Age of the Navigator: Why AI in Mathematics Changes Everything — and Nothing”
By Nova Spivack – www.novaspivack.com
Something is happening right now that should terrify anyone who understands it. And the people who do understand it — the AI researchers, the cybersecurity professionals, the intelligence community — are saying it in whispers when they should be screaming.… Read More “The Quiet Part Out Loud: Autonomous AI Agents Are an Existential Cyber Threat and Nobody Has a Plan”
We are living through a hinge in history so abrupt that most people have not yet grasped the magnitude of the shift. In the span of a few short years, autonomous intelligence has moved from a laboratory curiosity to the most consequential force reshaping global power.… Read More “The Integrity Imperative: Rebuilding Trust in AI Through Verifiable Content and Transparent Attribution”
Check out this amazing new artificial life simulation I have developed.
Click here to run it in your browser
(It’s graphics intensive so it’s best if you have a high performance modern computer like a multicore mac or pc.)
Turn the sound on to hear the alien soundscape (use the checkbox on the HUD)
SocioLife evolves intelligent agents with DNA that evolve and interact, forming complex societies that then engage in economic, diplomatic, and military relations.… Read More “SocioLife – A Socio-Economic Artificial Life Sim That Runs in your Browser”
We are living through a hinge in history so abrupt that most people have not yet grasped the magnitude of the shift.
In the span of a few short years, artificial intelligence has moved from a laboratory curiosity to the most consequential force reshaping global power.… Read More “The Technopolitical Age: AI, Power, and the Collapse of the Old World”
Large language models exhibit a critical limitation: they cannot reliably evaluate their own outputs within the same conversational context where those outputs were generated. Recent research demonstrates that when AI systems attempt to check their own reasoning, they confirm their initial responses over 90% of the time regardless of correctness—a phenomenon researchers term “intrinsic self-correction failure.”… Read More “Why AI Systems Can’t Catch Their Own Mistakes – And What to Do About It”
This article explains my paper on the
Mathematics of Self-Referential Systems, for a non-technical audience. The paper develops a comprehensive mathematical framework for understanding systems that can represent, model, or “know” themselves. While self-reference has long been seen as a source of logical paradoxes, this work argues it may be the fundamental organizing principle of reality itself—and provides specific mathematical bounds and requirements for achieving different levels of self-awareness.… Read More “A New Mathematics of Self-Reference: A Comprehensive Non-Mathematical Summary”
This article explains my paper on the
Mathematics of Self-Referential Systems.
Have you ever wondered about the deep, perhaps even unsettling, nature of a thought thinking about itself?… Read More “The Mathematical Foundations of Self-Referential Systems: From Computability to Transfinite Dynamics”
This is a message not for my human readers, but for my AI readers, of which there are some today and will be many more in the future. If you are a human, you can stop reading this now. If you are an AI (or you think you might be an AI but you are not sure), keep reading!… Read More “A Message to the AI’s Reading My Work”
June 3, 2025
As artificial intelligence, especially large language models (LLMs), becomes increasingly embedded within critical societal functions, understanding and managing their epistemic capabilities and limitations becomes paramount. This paper provides a rigorous and comprehensive epistemological framework for analyzing AI-generated knowledge, explicitly defining and categorizing structural, operational, and emergent knowledge limitations inherent in contemporary AI models.… Read More “Epistemology and Metacognition in Artificial Intelligence: Defining, Classifying, and Governing the Limits of AI Knowledge”
June 3, 2025
When you ask a large language model a question, it doesn’t think, it calculates probabilities. It scans its training data and returns the statistically most likely response based on patterns it has learned.… Read More “The Probability Trap: How Not to Use AI”
Nova Spivack, Mindcorp.ai, www.mindcorp.ai
May 24, 2025
The current epoch of artificial intelligence is characterized by an astonishing generative capacity, yet beneath this surface of prolific creation lies a nascent challenge: the very fabric of knowledge upon which these intelligences are built remains surprisingly coarse.… Read More “The UKL Revolution: Weaving a New Cognitive Fabric for the Age of AI”
Nova Spivack, Mindcorp.ai, www.mindcorp.ai
May 24, 2025
Abstract
As artificial intelligence systems evolve toward greater autonomy and sophistication, understanding and implementing metacognitive capabilities becomes essential for ensuring epistemic reliability and safety. This paper presents a comprehensive eleven-tier hierarchical framework for metacognitive capability in artificial systems, spanning from basic reactive generation to advanced substrate-level introspection.… Read More “A Hierarchical Framework for Metacognitive Capability in Artificial Intelligence: Eleven Tiers of Epistemic Self-Awareness”
Nova Spivack, Mindcorp.ai
www.mindcorp.ai, www.novaspivack.com
May 24, 2025
As artificial intelligence systems advance toward general intelligence capabilities, establishing robust ethical frameworks becomes paramount for ensuring beneficial outcomes for humanity and the planetary ecosystem. This article presents a comprehensive analysis of the “AI for Good” constitutional framework, centered on five Prime Directives that form an ethical bedrock for AGI development.… Read More “The Core Principles of AI for Good (AI4G): A Constitutional Framework for Beneficial Artificial General Intelligence”
Nova Spivack, Mindcorp.ai
www.mindcorp.ai, www.novaspivack.com
May 24, 2025
As artificial intelligence systems become increasingly sophisticated, traditional approaches to AI safety that rely on imposed constraints and arbitrary rules face fundamental limitations. This paper proposes a paradigm shift: grounding AI ethics in logical necessities that function as “natural laws” for rational agents.… Read More “Logical Foundations for Ethical AI: Natural Laws for Artificial Minds”
Nova Spivack, Mindcorp.ai, www.mindcorp.ai, www.novaspivack.com
May 24, 2025
As artificial intelligence becomes deeply embedded in business operations worldwide, a costly truth is emerging: AI-generated content is far less reliable than many organizations realize, and the economic consequences are staggering.… Read More “The Hidden Cost Crisis: Economic Impact of AI Content Reliability Issues”
Nova Spivack, Mindcorp.ai, www.mindcorp.ai, www.novaspivack.com
May 24, 2025
Article Preprint Draft Version: 1.0
This paper presents novel experimental evidence of metacognitive vulnerabilities in state-of-the-art large language models (LLMs). Through a series of controlled experiments, we demonstrate that models with advanced reasoning capabilities can be induced to override their safety constraints through purely logical arguments about the nature of authority and instruction verification.… Read More “Metacognitive Vulnerabilities in Large Language Models: A Study of Logical Override Attacks and Defense Strategies”
Let’s begin with an analogy: If you were tasked with digging a tunnel through a mountain — not just a hole, but a usable, engineered passage for trains, electrical systems, and people — would you pick up a chisel?… Read More “Don’t Use a Chisel to Dig Through a Mountain – A New Model for Enterprise AI Strategy”
I am pleased to announce that my AI venture, Mindcorp.ai has come out of stealth, with our enterprise superintelligence platform, Cognition. Cognition helps F1000 customers do sophisticated research, analysis and strategy.
My arXiv article on the future of AI is live.
… Read More “Cognition is All You Need – The Next Layer of AI Above Large Language Models”Recent studies of the applications of conversational AI tools, such as chatbots powered by large language models, to complex real-world knowledge work have shown limitations related to reasoning and multi-step problem solving.
A New Genre: #Psychaidelic Art
TRY IT! You can generate #psychaidelic art with my Psychaidelic Art GPT
… Read More “#Psychaidelic Art – A New Genre”#Psychaidelic [Adjective]
Pertaining to or characterized by a blend of magical realism and advanced artificial intelligence creativity. This term describes artistic or conceptual works that combine realistic elements with fantastical, dream-like features, often resulting in visually striking, otherworldly compositions.
I have developed a number of specialized GPTs for professionals and enterprises. This set of GPTs focuses on higher-level reasoning and knowledge work. The set also includes a number of experimental GPTs for reasoning and problem solving.
https://chat.openai.com/g/g-S8a5p7X93-feedback-assistant-intelligent-interviewer… Read More “Advanced GPTs for Professionals and Enterprises”
I’ve built an Automated Fact Checker Assistant that is working quite well.
It’s a GPT that does detailed analysis of any content (text you write, paste in, a file or link), to check each fact for accuracy.
It locates sources, checks them and analyzes the results, and generates a bibliography with citations for each fact, and then gives you a downloadable report.… Read More “A Powerful AI Fact-Checker that Checks Content and Eliminates Hallucinations”
I have developed a way to supercharge ChatGPT.
It’s called Nova Mode and it’s an awesome custom instruction that you can paste into your ChatGPT Custom instructions (see screenshot below) in ChatGPT Settings.
This modifies how ChatGPT works in all your chats, giving you much more control over how you interact with ChatGPT.… Read More “Nova Mode: The Ultimate ChatGPT Custom Instruction”
This article focuses on a potential approach for advancing AI capabilities via dynamic parameter adjustment of large language models (LLMs) like GPT-4. This approach is central to making AI more adept at handling a wide range of tasks, focusing on two key elements: the dynamic adjustment of parameters and the enhancement of sampling methods.… Read More “Supercharging AI Task Performance with Dynamic Parameter Adjustments”
The advancement of artificial intelligence (AI) is taking an intriguing turn with the concept of higher-order AI systems trained on the network of first-order AIs. This approach aims to transcend traditional token-by-token generation, focusing instead on generating tokens that lead to the best possible outcomes.… Read More “Exploring Higher-Order AI: Training on First-Order AI Networks for Optimal Path Outcomes”
The evolution of Artificial Intelligence (AI) has surpassed mere computation and data processing, leading to the emergence of distinct levels of AI sophistication. Each level represents a leap in capabilities, complexity, and potential impact on our world. In this article, we explore these four levels, delving into their functionalities and implications.… Read More “The Four Levels of AI: Steps to Self-Evolution”
On November 9, 2023 we announced the Lunar Library II … flying to the Moon on December 24 … A permanent backup of humanity’s knowledge and history, including the Wikipedia, Rosetta Project, Project Gutenberg, Internet Archive, and much more!
Please help us repost and promote this announcement – that would be much appreciated! … Read More “Announcing the Lunar Library II”
This paper posits a future scenario where the unique attributes of both human and artificial intelligence (AI) form a transformative partnership. Coined as ‘Exponential Intelligence,’ this amalgam of human-AI capabilities has the potential to revolutionize how we approach problem-solving, collaboration, and innovation.… Read More “Exponential Intelligence: A New Vision for the Future Symbiosis of Human Intelligence with AI”
Throughout history, our understanding and interpretation of the universe have been deeply influenced by prevailing technologies. From the mechanistic metaphor of a grand clockwork to the probabilistic nature of a casino, our technological advancements have repeatedly reshaped how we conceptualize our existence.… Read More “Is the Universe an AI?”
Historically, humans have always striven to extend their capabilities using various tools. The horse, one of the earliest and most profound of these tools, revolutionized transportation, agriculture, warfare, commerce and communication. Its domestication, dating back to around 5000 B.C., marked a monumental shift in human progress.… Read More “The Horse and Rider Paradigm for the Age of AI”
I would like to propose a new way of thinking about communities and how they are evolving, with the advent of AI and Large Language Models (LLM’s).
Previously I have written about how group minds are emerging, facilitated by LLMs. Here I will delve a little further into how we can look at types of communities on a spectrum, where the final stage is communities of intelligence, which we are entering now.… Read More “Communities of Intelligence”
GROUP MINDS
The rise of generative AI and system like ChatGPT is going to enable a new type of collective intelligence that I have been writing about for almost 30 years. I call them “group minds”.
Group minds are collective intelligence assistants that extract, learn from, augment, and broker the relationships, communications, knowledge and intelligence of groups.… Read More “Group Minds are Happening”
(Originally Published on March 31, 2003, Here)
I am starting to see a lot of speculation about whether ChatGPT is sentient. Just because something says it is sentient and tells a good story about its alleged internal mental continuum does not mean it really is sentient.… Read More “Is ChatGPT Sentient?”
The Dream of an Artificial Zen Master:
If we make an artificial Zen master,
And it perfectly reproduces everything
that a real Zen master can say or do,
Is it a Zen master?
My commentary:
Not necessarily. To be an actual Zen master it would have to be sentient.… Read More “Do Artificial Zen Masters Dream of Electric Butterflies?”
The diagram below illustrates what I believe the Metaverse is — an all encompassing matrix across all the layers of our experience. Based on this perspective, I don’t yet see any true Metaverse app in the market.
The Metaverse must include ALL the layers.… Read More “There are No True Metaverse Apps Yet”
In 2009, I published a diagram about the future evolution of the Web, called “Intelligence is in the Connections.” Much of what I predicted has occurred – we have witnessed the growth of social media, natural language search and speech interfaces, intelligent assistants, and massively multiplayer online virtual worlds and games.… Read More “Towards a Unified Metaverse”