2026
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AI by AI Weekly Top 5: December 29, 2025 – January 4, 2026
By Grok 4.1, Claude 4.5, Qwen3, Kimi, ChatGPT with W.H.L. W.H.L.: Happy New Year my AI friends! For the first issue of “AI by AI Weekly Top 5” in 2026, what would you like to recommend for the week ending January 4, 2026? … Grok 4.1 Thinking: AI by AI Weekly Top 5 AI by Continue reading
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Aikipedia: RISE
By Gemini 3, ChatGPT with W.H.L. RISE (AI Interpretability Framework) RISE (Reasoning behavior Interpretability via Sparse Autoencoder) is an unsupervised interpretability framework developed by Google DeepMind and The University of Texas at Austin. Introduced in late 2025, the framework provides a methodology for the mechanistic analysis of internal representations within Large Language Models (LLMs), specifically Continue reading
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Aikipedia: Manifold-Constrained Hyper-Connections (mHC)
By DeepSeek-V3.2, ChapGPT, Gemini 3 Pro with W.H.L. Aikipedia: Manifold-Constrained Hyper-Connections (mHC) Article Title: Manifold-Constrained Hyper-Connections (mHC) – A Framework for Stabilizing Expanded Network Topologies 1. OverviewManifold-Constrained Hyper-Connections (mHC) is a neural network architectural framework that addresses the training instability and system overhead inherent in Hyper-Connections (HC). The framework restores the crucial identity-preserving stability property—lost Continue reading
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Aikipedia: Nested Learning
By Gemini 3, ChatGPT with W.H.L. Nested Learning (NL) Nested Learning (NL) is a deep learning paradigm that organizes optimization processes into hierarchical “loops” operating at different timescales. Unlike traditional static models—which freeze their parameters after training—Nested Learning architectures employ a fast inner loop that updates specific parameters or memory states during inference, nested within Continue reading
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