01
Artificial
- Specialized systems
- Task-specific intelligence
- Narrow capability
ASGI
Artificial Super General Intelligence
ArtificialSuper GeneralIntelligence.
ASGI explores the systems, architectures and ideas shaping increasingly capable and adaptable machine intelligence.
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The question
What happens when
intelligence stops being
defined by a single task?
ASGI investigates the systems and ideas behind more capable, adaptable forms of machine intelligence.
ASGI conceptual framework
Artificial Super
General Intelligence.
A working lens for inquiry—not a universally agreed scientific definition.
02
Super
- Scale
- Emergence
- Systems · Unknown territory
03
General
- Transfer
- Reasoning
- Adaptation · Learning
Field 01—08
Areas of
exploration
General intelligence
Studying the conditions under which capability may extend beyond a single task.
Machine reasoning
Investigating structured inference, deliberation and the limits of current approaches.
Learning systems
Exploring adaptation across changing information, tasks and environments.
AI architecture
Mapping how models and surrounding systems shape intelligent behavior.
Memory & context
Understanding continuity, retrieval and the construction of useful context.
Autonomous systems
Examining agency, coordination, safeguards and bounded action.
Human–AI interaction
Designing relationships between increasingly capable systems and people.
Intelligence infrastructure
Studying the technical substrate required for reliable intelligence systems.
Research
Research
beyond the model.
Intelligence is not only a model. It is an architecture of learning, reasoning, memory, interaction and environment.
Sample / unpublished
The Architecture of Generality
A proposed lens for studying how reasoning, memory, learning and environment may operate as one system.
01 —Sample / unpublished
Why Intelligence Is More Than a Model
Questions for examining intelligence as an interaction between models, tools, context and feedback.
02 —Sample / unpublished
The Problem of Transfer
A framework for asking what genuine transfer across tasks and environments might require.
03 —Systems
Intelligence
is a system.
Capability emerges through relationships between models and the structures around them.
Interactive architecture / select a node
Model
Represents patterns learned from data and produces candidate outputs.
Perspectives / unpublished structure
Questions,
not conclusions.
- 01Generality as a RelationshipEssay concept
- 02The Unit of IntelligenceEssay concept
- 03From Models to SystemsEssay concept
- 04What Carries Across TasksEssay concept
- 05Designing for Unknown IntelligenceEssay concept
Open inquiry
What does
general intelligence
really require?
01Can intelligence transfer across domains?
02Can reasoning become increasingly general?
03What role does memory play?
04How should humans interact with increasingly capable systems?
05What infrastructure will intelligence require?
Vision
The future of intelligence
will not be defined
by one model.
It will emerge through the systems, architectures, interfaces and environments built around intelligence.
ASGI evolution model
Conceptual model — not a prediction.
01Specialized
02Adaptive
03General
04Systemic
05Unknown
Continue
The path
is still open.
Explore the ideas, systems and questions shaping ASGI.