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Explore the main themes, entities and connections around Artificial general intelligence. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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History
49 related topics
Characteristics
23 related topics
Whole brain emulation
29 related topics
Terminology
11 related topics
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Artificial intelligence
- Artificial superintelligence
- Artificial narrow intelligence
- OpenAI
- XAI XAI (company)
- Meta Meta Platforms
- Research and development
- Science fiction
- Futures studies
- Represents an existential risk Existential risk from artificial general intelligence
- Have stated Statement on AI risk of extinction
- Alan Turing
- Eugene Goostman
- GPT-4.5
- Ikea
- Steve Wozniak
- Figure AI
- University of Edinburgh
- Nature Machine Intelligence
- Mustafa Suleyman
- Video games Video game
- Elon Musk
- Bill Gates
- Geoffrey Hinton
- Yoshua Bengio
- Demis Hassabis
- Sam Altman
- Stephen Hawking
- Yann LeCun
Terminology
- AIXI
- Marcus Hutter
- Shane Legg
- Ben Goertzel
- Sentience
- Consciousness
- Weak AI Weak artificial intelligence
- Superintelligence
- Google DeepMind
- ChatGPT
- LLaMA 2 LLaMA
Characteristics
- Intelligence
- John McCarthy John McCarthy (computer scientist)
- Automated reasoning
- Uncertainty
- Represent knowledge Knowledge representation
- Common sense knowledge Commonsense knowledge (artificial intelligence)
- Plan Automated planning and scheduling
- Learn Machine learning
- Natural language Natural language processing
- Integrate these skills Artificial intelligence systems integration
- Interdisciplinary Interdisciplinarity
- Cognitive science
- Computational intelligence
- Decision making
- Imagination
- Autonomy Self-determination theory
- Large language models Large language model
- Computational creativity
- Decision support Decision support system
- Sense Machine perception
- See Computer vision
- Move and manipulate objects Robotics
- Hazard
History
- Herbert A. Simon
- Stanley Kubrick
- Arthur C. Clarke
- HAL 9000
- Marvin Minsky
- Classical AI projects Symbolic AI
- Douglas Lenat
- Cyc
- Allen Newell
- Soar Soar (cognitive architecture)
- Fifth Generation Computer
- Expert systems
- Speech recognition
- Recommendation algorithms Recommendation algorithm
- Hans Moravec
- Golden spike
- Stevan Harnad
- Symbol grounding hypothesis Symbol grounding problem
- Microsoft
- Paul Allen
- The Guardian
- Alan Winfield
- Hubert Dreyfus
- Roger Penrose
- Tests for confirming human-level AGI Artificial general intelligence
- Machine Intelligence Research Institute
- GPT-4
- Torrance tests of creative thinking
- Blaise Agüera y Arcas
- Peter Norvig
Whole brain emulation
- Transformer Transformer (deep learning architecture)
- Whole brain emulation
- Scanning Brain scanning
- Mapping Brain mapping
- Simulation Computer simulation
- Brain simulation
- Computational neuroscience
- Neuroinformatics
- Neuroimaging
- Futurist
- The Singularity Is Near
- Synapses
- Human brain
- Neurons
- SUPS
- Achieved in 2011 FLOPS
- Supercomputers Supercomputer
- PetaFLOPS Peta-
- Achieved in 2022 Exascale computing
- Human Brain Project
- EU European Union
- Atlas
- Artificial neuron
- Artificial neural network
- Biological neurons Biological neuron model
- Glial cells
- Embodied cognition
- Metaverses Metaverse
- Second Life
Philosophical perspective
- John Searle
- Strong AI Chinese room
- Russell Stuart J. Russell
- Ethics of artificial intelligence
- David Chalmers
- Hard problem of consciousness
- Thomas Nagel
- What does it feel like to be a bat? What Is It Like to Be a Bat?
- LaMDA
- Self-awareness
Hypothetical benefits
- Become obsolete Post-work society
- Redistributed Redistribution of wealth
- Nanotechnology
- Climate engineering
- Vulnerable World Hypothesis
Risks
- Existential risk
- Moral progress
- Mass surveillance
- Toby Ord
- Technological unemployment
- White-collar jobs White-collar worker
- Blue-collar jobs Blue-collar worker
- Universal basic income
Advanced semantic analysis
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.Artificial general intelligence
Nodes185
Edges184
Triples47
Avg. degree1.99
Density0.010811
Components1
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
Artificial general intelligence
Top relations
related to Classical AI · 13
Artificial general intelligence → AI, Arthur, Clarke's, HAL, He, Herbert, Marvin Minsky, Modern AI, Simon, Stanley Kubrick, The, Their, Within
related to Terminology · 9
Artificial general intelligence → AGI, AI, AIXI, Ben Goertzel, Marcus Hutter, Mark Gubrud, Shane Legg, The, This
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
agi ai intelligence artificial human would researchers could test brain research consciousness strong also risk general existential 2023 machine years
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OpenAI | instance of | specific reprogramming.Creating AGI is a stated goal of technology companies | 0.80 | text |
| instance of | specific reprogramming.Creating AGI is a stated goal of technology companies | 0.80 | text | |
| xAI | instance of | specific reprogramming.Creating AGI is a stated goal of technology companies | 0.80 | text |
| and Meta | instance of | specific reprogramming.Creating AGI is a stated goal of technology companies | 0.80 | text |
| imagination | instance of | consider additional traits | 0.80 | text |
| Google AI | instance of | and Ying Liu conducted intelligence tests on publicly available and freely accessible weak AI | 0.80 | text |
| Apple's Siri | instance of | and Ying Liu conducted intelligence tests on publicly available and freely accessible weak AI | 0.80 | text |
| and others | instance of | and Ying Liu conducted intelligence tests on publicly available and freely accessible weak AI | 0.80 | text |
| Ray Kurzweil use the term | instance of | some futurists | 0.80 | text |
| Searle do not believe that is the case | instance of | Academic philosophers | 0.80 | text |
| and to most artificial intelligence researchers | instance of | Academic philosophers | 0.80 | text |
| the question is out of scope.Mainstream AI is most interested in how a program behaves | instance of | Academic philosophers | 0.80 | text |
No triples extracted yet.
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.
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