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DeepSeek opens 2026 with paper signalling race to train bigger models for less – South China Morning Post

DeepSeek opens 2026 with paper signalling race to train bigger models for less  South China Morning PostDeepSeek Touts New Training Method as China Pushes AI Efficiency  Bloomberg.comTech war: China takes confident strides to develop more AI innovation in 2026  South China Morning PostChina’s DeepSeek kicked off 2026 with a new AI training method that analysts say is a

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‘Just an unbelievable amount of pollution’: how big a threat is AI to the climate?

Defenders say AI can do good to fight the climate crisis. But spiralling energy and water costs leave experts worriedDuring a golden sunset in Memphis in May, Sharon Wilson pointed a thermal imaging camera at Elon Musk’s flagship datacentre to reveal a planetary threat her eyes could not. Free from pollution controls, the gas-fired turbines

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Instagram head Adam Mosseri on AI challenge: ‘Authenticity will matter more than ever’

Instagram chief Adam Mosseri warns that rapidly advancing AI-generated images and videos could blur the line between real and synthetic content, forcing the platform to rethink trust, authenticity and how original content is identified and valued in the years ahead.

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DeepSeek mHC: Stabilizing Large Language Model Training

Large AI models are scaling rapidly, with bigger architectures and longer training runs becoming the norm. As models grow, however, a fundamental training stability issue has remained unresolved. DeepSeek mHC directly addresses this problem by rethinking how residual connections behave at scale. This article explains DeepSeek mHC (Manifold-Constrained Hyper-Connections) and shows how it improves large language model training stability

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