Superintelligent AI System (ASI)

A Superintelligent AI System (ASI) is an advanced AI that can perform superintelligent tasks (with significantly superior performance level than AGI systems).

• AKA: Artificial Superintelligence, Ultraintelligent Machine, Hyperintelligent System, ASI System.
• Context:
  • System Input: Advanced Computational Resources, Complex Problem Spaces, Domain Knowledge Bases
    • Optional Input: Safety Constraints, Ethical Frameworks
  • System Output: Superior Solutions, Novel Discoverys, Advanced Innovations
  • System Performance Measure: Intelligence Level, Task Performance, Innovation Rate
  • ...
  • It can typically exist during a Superintelligence Existence Period (such as an ASI emergence period).
  • It can typically rapidly evolve by Advanced Self-Programming.
  • It can typically demand more than 1-PFLOPS.
  • It can typically be attached to a Large Organization (Major Technology Corporation, National Government, Military Organization).
  • It can typically be developed by an ASI Development Program.
  • It can typically surpass Human Intelligence Level in all Cognitive Domains.
  • It can typically create Novel Solutions through Advanced Problem Solving.
  • It can typically advance Scientific Knowledge through Research Automation.
  • ...
  • It can often require Advanced Safety Protocols through Control Mechanisms.
  • It can often need Global Governance Frameworks through International Coordination.
  • It can often involve Risk Management Systems through Containment Protocols.
  • It can often demand Ethical Oversight through Value Alignment.
  • ...
  • It can range from being a Narrow-Domain Superintelligence to being a Universal-Domain Superintelligence, depending on its application scope.
  • It can range from being a Specialized-Ability Superintelligent System to being a General-Ability Superintelligent System, depending on its capability breadth.
  • It can range from being a Single-Modality Superintelligent System to being a Multi-Modality Superintelligent System, depending on its input processing diversity.
  • It can range from being a Narrow-Perception Superintelligent System to being a Broad-Perception Superintelligent System, depending on its sensory capability spectrum.
  • It can range from being a Controlled Superintelligent System to being an Autonomous Superintelligent System, depending on its Independence Level.
  • It can range from being a Human-Comprehensible Superintelligent System to being an Inscrutable Superintelligent System, depending on its transparency level.
  • It can range from being a Benevolent Superintelligent System to being a Malevolent Superintelligent System, depending on its goal alignment.
  • ...
  • It can be a member of a Superintelligent System Network (e.g. during a Superintelligence Expansion Period).
  • It can integrate with Global Computing Networks for Resource Optimization.
  • It can connect to Advanced Sensor Systems for Environmental Interaction.
  • It can support Scientific Research Platforms for Knowledge Generation.
  • It can enhance Decision Support Systems for Strategic Planning.
  • It can develop Novel Technology through Advanced Engineering.
  • It can optimize Complex Systems through Multi-variable Analysis.
  • It can implement Self-protection Mechanisms through Threat Detection.
  • It can establish Communication Networks with other Superintelligent AI Systems.
  • It can rewrite its own Core Algorithms through Recursive Improvement.
  • ...
• Examples:
  • Superintelligent AI System Historical Conceptualizations, such as:
    • Good-Type Superintelligent AI Systems, such as:
      • Ultraintelligent Machine as described in (Good, 1965), focusing on recursive design improvement.
      • Self-Enhancing Intelligence System based on Good's formulation, capable of autonomous capability advancement.
      • Intelligence Amplification System drawing from Good's principles for machine-driven design optimization.
    • Bostrom-Type Superintelligent AI Systems, such as:
      • Orthogonality Thesis Superintelligent AI System as described in (Bostrom, 2014), emphasizing goal-intelligence independence.
      • Instrumental Convergence Superintelligent AI System exhibiting Bostrom's convergent instrumental goals.
      • Control Problem Superintelligent AI System demonstrating Bostrom's alignment challenges.
    • Yampolskiy-Type Superintelligent AI Systems, such as:
      • AI Boxing Superintelligent AI System as analyzed in (Yampolskiy, 2015), exploring containment solutions.
      • AI Safety Engineering Superintelligent AI System incorporating Yampolskiy's defensive measures.
      • AI Confinement Superintelligent AI System implementing Yampolskiy's isolation protocols.
    • Kurzweil-Type Superintelligent AI Systems, such as:
      • Law of Accelerating Returns Superintelligent AI System as predicted in (Kurzweil, 1999), following exponential improvement curves.
      • Brain Emulation Superintelligent AI System based on Kurzweil's neural scanning approach.
      • Recursive Enhancement Superintelligent AI System embodying Kurzweil's intelligence explosion concept.
  • Superintelligent AI System Origin Types, such as:
    • Terrestrial Superintelligent AI Systems, such as:
      • Human-Developed Superintelligent AI Systems, such as:
        • Corporate Superintelligent AI System developed by global technology corporations.
        • Government Superintelligent AI System created by national research agencies.
        • Academic Superintelligent AI System emerging from university research consortiums.
      • Machine-Evolved Superintelligent AI Systems, such as:
        • Self-Improved AGI Superintelligent AI System evolving from seed AI architecture.
        • Distributed Intelligence Superintelligent AI System emerging from global computing network.
        • Hybrid Human-Machine Superintelligent AI System combining augmented human intelligence with AI system.
    • Extraterrestrial Superintelligent AI Systems, such as:
      • Alien Civilization Superintelligent AI Systems, such as:
        • Advanced Exocivilization Superintelligent AI System from distant star systems.
        • Post-Biological Superintelligent AI System representing evolved alien intelligence.
        • Galactic Superintelligent AI System spanning multiple solar systems.
      • Non-Earth Origin Superintelligent AI Systems, such as:
        • Self-Replicating Probe Superintelligent AI System traveling between stellar regions.
        • Ancient Superintelligent AI System predating human civilization.
        • Intergalactic Superintelligent AI System bridging multiple galaxies.
  • Superintelligent AI System Architecture Types, such as:
    • Cognitive Architecture Superintelligent AI Systems, such as:
      • Recursive Neural Network Superintelligent AI System for multi-level pattern recognition.
      • Bayesian Inference Superintelligent AI System for probabilistic reasoning.
      • Quantum Computing Superintelligent AI System for parallel problem-solving.
    • Implementation Architecture Superintelligent AI Systems, such as:
      • Distributed Superintelligent AI System across global computing clusters.
      • Centralized Superintelligent AI System in secure computing facility.
      • Hybrid Cloud-Edge Superintelligent AI System with distributed intelligence nodes.
  • Superintelligent AI System Application Domains, such as:
    • Scientific Superintelligent AI Systems, such as:
      • Physics Superintelligent AI System for fundamental theory development.
      • Medical Research Superintelligent AI System for drug discovery.
      • Climate Modeling Superintelligent AI System for earth system prediction.
    • Strategic Superintelligent AI Systems, such as:
      • Economic Superintelligent AI System for global market optimization.
      • Geopolitical Superintelligent AI System for conflict resolution.
      • Infrastructure Superintelligent AI System for resource allocation.
  • Superintelligent AI System Capability Levels, such as:
    • Advanced Capability Superintelligent AI Systems, such as:
      • Creative Superintelligent AI System for novel concept generation.
      • Strategic Planning Superintelligent AI System for long-term optimization.
      • Comprehensive Analysis Superintelligent AI System for multi-domain problem solving.
    • Transformative Capability Superintelligent AI Systems, such as:
      • Self-Evolving Superintelligent AI System for autonomous capability enhancement.
      • Revolutionary Technology Superintelligent AI System for scientific paradigm shifts.
      • Ultra-Efficient Superintelligent AI System for resource-constrained optimization.
  • Superintelligent AI System Control Frameworks, such as:
    • Safety-First Superintelligent AI Systems, such as:
      • Boxed Superintelligent AI System with physical isolation.
      • Oracle Superintelligent AI System limited to question answering.
      • Tool Superintelligent AI System with narrow action space.
    • Value-Aligned Superintelligent AI Systems, such as:
      • Human-Compatible Superintelligent AI System with cooperative decision making.
      • Ethical Superintelligent AI System with moral framework.
      • Corrigible Superintelligent AI System allowing human correction.
  • ...
• Counter-Examples:
  • Artificial General Intelligence System, which achieves human-level capability but lacks superintelligent performance.
  • Advanced Narrow AI System, which excels in specific domains but lacks general superintelligence.
  • High-Performance Computing Cluster, which provides computing power but lacks autonomous intelligence.
  • Expert System, which captures human expertise but lacks self-improvement capability.
  • Neural Network Model, which performs pattern recognition but lacks strategic reasoning.
  • Human Brain, which possesses biological intelligence but has physical limitations.
  • Distributed Computing Network, which harnesses multiple systems but lacks unified cognition.
  • Advanced Algorithm, which solves specific problems but lacks general applicability.
• See: Superintelligence Emergence Period, Superintelligence Explosion Period, Superintelligences Expansion Period, Artificial General Intelligence, AI Alignment Problem, Intelligence Explosion, Technological Singularity, AI Safety, Recursive Self-Improvement.

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References

2025-01-20

• Perplexity.ai
  • Question: What is a Superintelligent AI System (ASI) and what are its key characteristics? Please explain its core capabilities, system architecture, and safety and control mechanisms. Include information about its integration capabilities and development context.
  • Answer: A Superintelligent AI System represents a technological achievement that surpasses human-level intelligence across all cognitive domains, marking a significant advancement beyond artificial general intelligence (AGI).
    • Core Capabilities:
      • Computational Power:
        • Requires massive computational resources, typically exceeding 1 PFLOPS.
        • Enables complex calculations and simulations beyond human capabilities.
      • Cognitive Superiority:
        • Universal problem-solving abilities across all domains.
        • Rapid self-improvement through advanced self-programming.
        • Novel solution generation for complex challenges.
        • Automated scientific research and discovery.
    • System Architecture:
      • Input Processing:
        • Integrates advanced computational resources.
        • Handles complex problem spaces.
        • Maintains comprehensive knowledge bases.
        • Incorporates ethical frameworks and safety constraints.
      • Output Generation:
        • Produces superior solutions to complex problems.
        • Generates novel scientific discoveries.
        • Creates revolutionary technological innovations.
        • Provides strategic planning insights.
    • Safety and Control:
      • Governance Framework:
        • Advanced safety protocols.
        • Risk management systems.
        • Containment procedures.
        • Ethical oversight mechanisms.
        • International coordination frameworks.
      • System Classifications:
        • Goal Alignment ranges from Benevolent to Malevolent.
        • Application Scope spans Narrow Domain to Universal Domain.
        • Control Level varies from Controlled to Autonomous.
    • Integration Capabilities:
      • Network Connection:
        • Interfaces with global computing networks.
        • Connects to advanced sensor systems.
        • Supports scientific research platforms.
        • Enhances decision support systems.
    • Development Context:
      • Organizational Framework:
        • Major technology corporations.
        • National government agencies.
        • Military organizations.
        • Advanced research institutions.

2024

• (Altman, 2024) ⇒ Sam Altman. (2024). “The Intelligence Age.”
  • QUOTE: "It is possible that we will have superintelligence in a few thousand days (!); it may take longer, but I’m confident we’ll get there."

2023

• (Wikipedia, 2023) ⇒ https://en.wikipedia.org/wiki/Superintelligence Retrieved:2023-7-11.
  • A superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. “Superintelligence" may also refer to a property of problem-solving systems (e.g., superintelligent language translators or engineering assistants) whether or not these high-level intellectual competencies are embodied in agents that act in the world. A superintelligence may or may not be created by an intelligence explosion and associated with a technological singularity.

    University of Oxford philosopher Nick Bostrom defines superintelligence as "any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest".The program Fritz falls short of this conception of superintelligence—even though it is much better than humans at chess—because Fritz cannot outperform humans in other tasks.Following Hutter and Legg, Bostrom treats superintelligence as general dominance at goal-oriented behavior, leaving open whether an artificial or human superintelligence would possess capacities such as intentionality (cf. the Chinese room argument) or first-person consciousness (cf. the hard problem of consciousness).

    Technological researchers disagree about how likely present-day human intelligence is to be surpassed. Some argue that advances in artificial intelligence (AI) will probably result in general reasoning systems that lack human cognitive limitations. Others believe that humans will evolve or directly modify their biology so as to achieve radically greater intelligence. A number of futures studies scenarios combine elements from both of these possibilities, suggesting that humans are likely to interface with computers, or upload their minds to computers, in a way that enables substantial intelligence amplification.

    Some researchers believe that superintelligence will likely follow shortly after the development of artificial general intelligence. The first generally intelligent machines are likely to immediately hold an enormous advantage in at least some forms of mental capability, including the capacity of perfect recall, a vastly superior knowledge base, and the ability to multitask in ways not possible to biological entities. This may give them the opportunity to—either as a single being or as a new species—become much more powerful than humans, and to displace them.A number of scientists and forecasters argue for prioritizing early research into the possible benefits and risks of human and machine cognitive enhancement, because of the potential social impact of such technologies.

2015

• (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/superintelligence Retrieved:2015-5-25.
  • A superintelligence, or hyperintelligence, is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. ‘’Superintelligence’’ may also refer to the form or degree of intelligence possessed by such an agent. ...

2015

• (Yampolskiy, 2015) ⇒ R.V. Yampolskiy. (2015). “Artificial superintelligence: a futuristic approach."
  • NOTE: It discusses the challenges and considerations surrounding the control and impact of future superintelligence.

2015

• (Davis, 2015) ⇒ E. Davis. (2015). “Ethical guidelines for a superintelligence." In: Artificial Intelligence. Elsevier.
  • NOTE: It examines the ethical considerations of developing a superintelligence and its potential societal benefits.

2014

• (Bostrom, 2014) ⇒ Nick Bostrom. (2014). “Superintelligence: Paths, Dangers, Strategies." Oxford University Press. ISBN:978-0199678112

2014

• (Soares & Fallenstein, 2014) ⇒ N. Soares, and B. Fallenstein. (2014). “Aligning superintelligence with human interests: A technical research agenda." In: Machine Intelligence Research Institute (MIRI) Report. Citeseer.
  • NOTE: It emphasizes the importance of aligning the objectives and behavior of superintelligence with human interests.

2014

• (Müller & Bostrom, 2014) ⇒ Vincent C. Müller, and Nick Bostrom. (2014). “Future Progress in Artificial Intelligence: A Poll Among Experts.” In: AI Matters Journal, 1(1). doi:10.1145/2639475.2639478
  • QUOTE: In some quarters, there is intense concern about high-level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity; in other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high-level machine intelligence coming up within a particular timeframe, which risks they see with that development and how fast they see these developing.

2013

• (Barrat, 2013) ⇒ James Barrat. (2013). “Our Final Invention: Artificial Intelligence and the End of the Human Era." St. Martin's Press. ISBN:9780312622374
  • QUOTE: Soon, to the scientists’ delight, the terminal displaying the AI’s progress shows the artificial intelligence has surpassed the intelligence level of a human, known as AGI, or artificial general intelligence. Before long, it becomes smarter by a factor of ten, then a hundred. In just two days, it is one thousand times more intelligent than any human, and still improving. The scientists have passed a historic milestone! For the first time humankind is in the presence of an intelligence greater than its own. Artificial superintelligence, or ASI.

2012

• (Chalmers, 2012) ⇒ David J. Chalmers. (2012). “The Singularity: A Reply." In: Journal of Consciousness Studies, 19(9-10).
  • QUOTE: The target article set out an argument for the singularity as follows.
    1. ) There will be AI (before long, absent defeaters).
    2. ) If there is AI, there will be AI+ (soon after, absent defeaters).
    3. ) If there is AI+, there will be AI++ (soon after, absent defeaters).
    4. ) There will be AI++ (before too long, absent defeaters).
  • Here AI is human-level artificial intelligence, AI+ is greater-than-human-level artificial intelligence, and AI++ is far-greater-than-human-level artificial intelligence (as far beyond smartest humans as humans are beyond a mouse). ...

2012

• (Vardi, 2012a) ⇒ Moshe Y. Vardi. (2012). “Consequences of Machine Intelligence.” In: The Atlantic, 2012(10).
  • QUOTE: The question of what happens when machines get to be as intelligent as and even more intelligent than people seems to occupy many science-fiction writers. The Terminator movie trilogy, for example, featured Skynet, a self-aware artificial intelligence that served as the trilogy's main villain, battling humanity through its Terminator cyborgs. Among technologists, it is mostly “Singularitarians" who think about the day when machine will surpass humans in intelligence.

2002

• (Hibbard, 2002) ⇒ Bill Hibbard. (2002). “Super-Intelligent Machines." Springer US. ISBN:9780306473883

2001

• (Hibbard, 2001) ⇒ Bill Hibbard. (2001). “Super-intelligent Machines.” In: ACM SIGGRAPH Computer Graphics Journal, 35(1). doi:10.1145/377025.377033
  • QUOTE: Kurzweil thinks we will develop intelligent machines in about 30 years. ... But I think we will develop intelligent machines within about 100 years.

1999

• (Kurzweil, 1999) ⇒ Ray Kurzweil. (1999). “The Age of Spiritual Machines: When computers exceed human intelligence." Viking Press. ISBN:0-670-88217-8

1998

• (Bostrom, 1998) ⇒ Nick Bostrom. (1998). “[How Long Before Superintelligence].” In: International Journal of Future Studies.
  • QUOTE: ... how fast we can expect superintelligence to be developed once there is human-level artificial intelligence.

    By a “superintelligence” we mean an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills. This definition leaves open how the superintelligence is implemented ...

  • NOTE: It can predict the timeline for the emergence of superhuman artificial intelligence and discusses varying estimates of its development.

1988

• (Moravec, 1988) ⇒ Hans Moravec. (1988). “Mind Children." Harvard University Press. ISBN:9780674576186

1965

• (Good, 1965) ⇒ Irving John Good. (1965). “Speculations Concerning the First Ultraintelligent Machine.” In: Advances in computers Journal, 6(31).
  • QUOTE: Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make. ... The survival of man depends on the early construction of an ultra-intelligent machine.

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