Self-Improving AI (Recursive)

An AI capable of recursively rewriting its own source code to become more intelligent, potentially leading to an intelligence explosion or 'Singularity'.

Core metadata

ID: self_improving_ai
Era: Future
First known date: 2035 (decade)
Region: Forecast / not yet broadly established
Review status: structurally_validated
Maturity: N/A

Prerequisites

Dependents

Artificial Superintelligence (ASI) (artificial_superintelligence_asi)

Fields

None.

Node sources

Wikipedia page for Self-Improving AI (Recursive) (Wikipedia, 2026, textbook) • Supports: node

Prerequisite edge evidence

Edge/source evidence summary:

Prerequisite edges: 4
Average edge confidence: 35%
Prerequisite sources: 1
speculative: 4

Prerequisite	Type	Confidence	Evidence level	Note	Sources
Artificial General Intelligence (AGI) (artificial_general_intelligence)	speculative	35%	speculative	Artificial General Intelligence (AGI) is a plausible dependency for a forecast technology and should be treated as speculative.	No sources recorded.
Quantum Computing (quantum_computing)	speculative	35%	speculative	Quantum Computing is a plausible dependency for a forecast technology and should be treated as speculative.	No sources recorded.
AI Governance & Ethics Frameworks (Robust) (ai_governance_ethics_frameworks_robust)	speculative	35%	speculative	AI Governance & Ethics Frameworks (Robust) is a plausible dependency for a forecast technology and should be treated as speculative.	No sources recorded.
Algorithms & Computation Theory (algorithms_computation_theory)	speculative	35%	speculative	Algorithms & Computation Theory is a plausible dependency for a forecast technology and should be treated as speculative.	On Computable Numbers, with an Application to the Entscheidungsproblem (Proceedings of the London Mathematical Society, 1937, primary_paper) • Supports: edge

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