Wuchang: Fallen Feathers’ latest patch accused of faking internal render resolution to boost FPS — game runs at ‘Quality’ upscaling even when the render scale is set to 100% native

Wuchang: Fallen Feathers’ latest patch accused of faking internal render resolution to boost FPS — game runs at ‘Quality’ upscaling even when the render scale is set to 100% native

Wuchang: Fallen Feathers has endured a rocky launch, with widespread reports of poor performance overshadowing its otherwise positive critical reception. Despite favorable reviews, subpar optimization has sparked significant furor among players. In response to the backlash, publisher 505 Games has rolled out a series of patches aimed at improving performance, something that’s become customary for…

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LLMs Can Now Reason in Parallel: UC Berkeley and UCSF Researchers Introduce Adaptive Parallel Reasoning to Scale Inference Efficiently Without Exceeding Context Windows

LLMs Can Now Reason in Parallel: UC Berkeley and UCSF Researchers Introduce Adaptive Parallel Reasoning to Scale Inference Efficiently Without Exceeding Context Windows

Large language models (LLMs) have made significant strides in reasoning capabilities, exemplified by breakthrough systems like OpenAI o1 and DeepSeekR1, which utilize test-time compute for search and reinforcement learning to optimize performance. Despite this progress, current methodologies face critical challenges that impede their effectiveness. Serialized chain-of-thought approaches generate excessively long output sequences, increasing latency and…

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How to scale a business without a big budget

How to scale a business without a big budget

Growing a business without the cushion of a big budget might seem challenging, but numerous entrepreneurs have proven it’s possible. By leveraging their creativity, grassroots marketing, and low-cost tools, they’ve been able to scale their businesses organically without relying on heavy investment in marketing. Their journeys offer practical advice on how small businesses can expand…

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Can AI Models Scale Knowledge Storage Efficiently? Meta Researchers Advance Memory Layer Capabilities at Scale

Can AI Models Scale Knowledge Storage Efficiently? Meta Researchers Advance Memory Layer Capabilities at Scale

The field of neural network architectures has witnessed rapid advancements as researchers explore innovative ways to enhance computational efficiency while maintaining or improving model performance. Traditional dense networks rely heavily on computationally expensive matrix operations to encode and store information. This reliance poses challenges when scaling these models for real-world applications that demand extensive knowledge…

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