Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Monumental underground stone vault with infinite receding archways carved into rock, single dramatic shaft of golden light illuminating empty weathered pedestal at center, Chinese classical architectural details meeting natural cave formations, deep perspective into luminous darkness, high contrast chiaroscuro, desaturated stone grays with warm light accents, architectural photography style, suggests depth and hidden foundations rather than surface monuments.
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
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