Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Neoclassical stone archive building with ornate doorframe but no doors, interior shelves of illuminated manuscripts visible through the opening, desaturated stone exterior contrasting with warm golden light from within, architectural detail showing where hinges were deliberately removed, dramatic chiaroscuro, Renaissance painting lighting, monument to accessibility rather than enclosure.
DeepSeek’s Manifold-Constrained Hyper-Connections (mHC) shook the AI community with a real mathematical wake-up call: We are running into architectural limits. For a decade, the “just add more layers” strategy on the residual connection: By forcing every layer to preserve”” https://x.com/TheTuringPost/status/2009388382737322059
Engram: How DeepSeek Added a Second Brain to Their LLM | rewire.it | rewire.it Blog https://rewire.it/blog/engram-how-deepseek-added-second-brain-to-llm/index.html
If you found Manifold-Constrained Hyper-Connections (mHC) from DeepSeek a breakthrough, you should also know the full story behind residual connections ↓ 1. For 30 years, deep learning has been shaped by one fear losing – the learning signal. Sepp Hochreiter formalized the”” https://x.com/TheTuringPost/status/2010488378396201018
Ministral 3 https://arxiv.org/pdf/2601.08584
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