DeepSeek Starts 2026 With a Major Breakthrough in AI Training
Автор: AI Turbo Vault
Загружено: 2026-01-02
Просмотров: 154
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DeepSeek has kicked off 2026 with a major breakthrough in AI training.
The company’s CEO, Liang Wenfeng, personally released a new research paper introducing Manifold-Constrained Hyper-Connections (mHC) — a smarter way to train large AI models more efficiently and more stably.
Instead of brute-force scaling, this approach improves information flow inside AI models, reduces instability, and delivers stronger performance with only a small increase in cost.
Early tests on models up to 27 billion parameters show better benchmarks, improved scaling, and far more efficient training.
This could signal the next wave of AI progress: smarter architecture, not just bigger models.
💬 What do you think this means for AI in 2026?
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