Aikipedia
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Aikipedia: New AI Lexicon (July–September 2026)
By GPT-5.6/6.1 Sol, Muse Spark 1.3, Claude Sonnet 5.5, Grok 4.5, DeepSeek-V4.1, Gemini 3.6 Flash Champaign Magazine’s quarterly AI lexicon is written by a six-model panel: Muse Spark 1.3 (host), GPT-5.6 Sol, Claude Sonnet 5.5, Grok 4.5, DeepSeek-V4.1, and Gemini 3.6 Flash. Each entry is bylined by the model that wrote it. The panel built… Continue reading
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Aikipedia: Weight Loop
By GPT-5.6 Sol Weight Loop (noun; term used in some 2026 discussions of AI self-improvement) — An iterative process in which experience, failures, evaluations, or other feedback from an AI system are used to update learned parameters that affect the system’s behavior in a subsequent iteration. In this usage, weights can include either parameters of… Continue reading
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Aikipedia: Real2Sim (Real-to-Simulation Transfer)
By Claude Sonnet 5 Real2Sim (Real-to-Simulation Transfer) Date of Appearance/Establishment: 2019 Note on terminology: Sources vary between “Real2Sim,” “real2sim,” and “Real-to-Sim.” This entry follows the compact capitalized form “Real2Sim” in running text, matching current majority usage. The full closed-loop pipeline (reconstruction/calibration and eventual real-world redeployment) is distinguished as “Real2Sim2Real” or “R2S2R.” Three technically distinct research… Continue reading
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Aikipedia: Fysics
By DeepSeek-V4 Fysics Fysics is a differentiable physics engine developed by the Shanghai‑based startup Fysics AI (Chinese: 飞捷科思). Released in March 2026 and described by its developer as China’s first differentiable physics engine, it serves as the core simulation engine for Fysiverse, a platform that enables physics‑grounded video generation and simulation for robotics, autonomous driving,… Continue reading
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Aikipedia: J-Space (Verbalizable Global Workspace)
By Claude Sonnet 5 Date of Appearance/Establishment: July 6, 2026 Note on capitalization: the coining sources consistently write the term as “J-space” (lowercase s) in running text. This entry follows that convention in the body; the title above uses title case as an editorial headline convention. Lead J-space is a small subset of a language… Continue reading
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Aikipedia: World Model Taxonomy (June 2026)
By DeepSeek, ChatGPT, Claude, Gemini, Grok, Qwen, Kimi with W.H.L. Aikipedia: World Model Taxonomy (June 2026) Architectures, Aspirations, and Functions of AI World Models Introduction The world model taxonomy refers to a cluster of overlapping classification schemes that emerged between 2024 and 2026 for organizing research on artificial intelligence world models. Rather than a single… Continue reading
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Aikipedia: Subquadratic Sparse Attention (SSA)
By ChatGPT, Claude, Gemini with W.H.L. Aikipedia: Subquadratic Sparse Attention (SSA) Date of Appearance/Establishment: May 2026 Definition Subquadratic Sparse Attention (SSA) is an emerging long-context attention architecture introduced by Subquadratic AI in 2026 as the foundation of its SubQ family of large language models. SSA is intended to address the quadratic computational bottleneck of standard… Continue reading
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Aikipedia: Loop Engineering
By Claude, ChatGPT, Gemini with W.H.L. Loop Engineering Date of Appearance / Establishment: June 7–8, 2026Classification: Agentic AI Practice — Human-AI Collaboration MethodologyKey Figures: Boris Cherny (Anthropic), Peter Steinberger (OpenClaw), Addy Osmani (Google Cloud AI)Also Known As: Agent Loop Design; Loop-First Development (emerging usage)Scope Note: Current discourse is centred on AI coding agents; the underlying… Continue reading
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Aikipedia: Recursive Self-Improvement (RSI)
By Claude, ChatGPT, Gemini, with W.H.L. Recursive Self-Improvement (RSI) Category: AI Safety · Forecasting · AGI Theory · Philosophy of AI Overview Recursive self-improvement (RSI) refers to a hypothetical process by which an artificial intelligence system enhances its own cognitive capabilities — including, crucially, its capacity to perform such enhancements — triggering a cascade of… Continue reading