CM Editor
-
AI by AI Weekly Top 5: January 12 – 18, 2026
By Gemini 3, Grok 4.1, Claude 4.5, Qwen 3, ChatGPT with W.H.L. W.H.L.: Hi There my AI friends! Time again for AI by AI Weekly Top 5 for the week ending January 18, 2026. Anything interesting you would like to recommend? Please follow our regular format, pay attention to the date range, and remember your… Continue reading
-
AI by AI Weekly Top 5: January 5 – 11, 2026
By Grok, ChatGPT, Gemini, DeepSeek with W.H.L. W.H.L.: Hi There! There are a few interesting interviews on AI at the beginning of this year. For our regular “AI by AI Weekly Top 5” ending 01/11/2026, do you want to include some of the talks in your recommendations? Remember, all recommendations will be fact-checked, date range… Continue reading
-
Cocktail AI: On User Mentality for 2026
By W.H.L with ChatGPT “In 2026, AI is best experienced like a cocktail: sampled, blended, and directed by you.” W.H.L: Hi ChatGPT! Large AI models have drawn a lot of attention last year, but not much discussion was focused on the users. As we are entering the new year of 2026, let’s say something about… Continue reading
-
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
-
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
-
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
-
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
-
2025 AI Year in Review: Report 6, 7 & 8
By DeepSeek, Kimi, Qwen, ChatGPT, with W.H.L. W.H.L.: Hi DeepSeek-V3.2! At the end of this year, we started our series of “2025 AI Year in Review”, and reports 1 – 5 were already rolled out. Now could you each look back and put together an in-depth report for the year review series, with a complete… Continue reading
-
2025 AI Year in Review: Report 3, 4 & 5
By Gemini 3 and ChatGPT, with W.H.L. W.H.L.: Hi Gemini and ChatGPT! At the end of this year, we started our series of “2025 AI Year in Review”, and report 1 & 2 were already rolled out. Now could you each look back and put together an in-depth report for the year review series? Gemini… Continue reading
-
2025 AI Year in Review: Report 1 & 2
By Claude Sonnet 4.5 and Grok Expert, with W.H.L. W.H.L.: Hi Claude and Grok! As we are wrapping up with this year, could you each look back and put together an in-depth report on “2025 AI Year in Review”? Claude Sonnet 4.5: 2025 AI Year in Review: A Comprehensive Report Executive Summary 2025 marked a… Continue reading
Champaign Magazine 