AI (Artificial Intelligence)

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DeepSeek mHC: Stabilizing Large Language Model Training

ai, AI (Artificial Intelligence), Artificial Intelligence, Uncategorized

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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What would happen to the world if lithium became scarce

ai, AI (Artificial Intelligence), Artificial Intelligence

Our reliance on lithium, powering everyday devices, faces a hidden fragility. Despite abundant reserves, access is concentrated, and recycling is minimal, leading to constant mining. While alternatives like sodium-ion batteries and solid-state technology are emerging, their widespread adoption is slow, suggesting a future of careful management and reduced lithium use per device rather than complete

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Perplexity CEO Aravind Srinivas says multi-billion dollar data centres will become less relevant and ‘big – The Times of India

ai, AI (Artificial Intelligence), Artificial Intelligence

Perplexity CEO Aravind Srinivas says multi-billion dollar data centres will become less relevant and ‘big  The Times of IndiaAravind Srinivas: Why On-Device AI Could Kill Centralised Data Centres  YourStory.comPerplexity CEO Aravind Srinivas says AI that runs on your phone could make data centers less relevant  Moneycontrol‘The biggest threat to data centres is on-device AI,’ says Perplexity CEO Aravind

Perplexity CEO Aravind Srinivas says multi-billion dollar data centres will become less relevant and ‘big – The Times of India Read More »