Artificial Intelligence

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NVIDIA AI Introduce SpatialClaw: A Training-Free Agent That Treats Code as the Action Interface for Spatial Reasoning

NVIDIA Research has released SpatialClaw, a training-free framework for spatial reasoning. It targets a persistent weakness in vision-language models (VLMs). These models still struggle to judge where objects are, how they relate, and how they move in 3D. SpatialClaw does not retrain the model. Instead, it changes the action interface the agent uses to call

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VibeThinker-3B: A 3B Dense Reasoning Model Built on Qwen2.5-Coder-3B With the Spectrum-to-Signal Post-Training Pipeline

While recent breakthroughs in AI reasoning have largely been driven by massive scale, pouring in billions of parameters to cross complex cognitive thresholds—VibeThinker-3B is charting a completely different path. Created by researchers from Sina Weibo Inc (China), this 3-billion-parameter model proves that efficiency can punch far above its weight class. Released under an open-source MIT

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Amazon, Walmart, Cisco, Uber and Meta who raced to give AI tools access to employees are now seemingly learning the ‘hard truth’ that AI is not … – The Times of India

Amazon, Walmart, Cisco, Uber and Meta who raced to give AI tools access to employees are now seemingly learning the ‘hard truth’ that AI is not …  The Times of India

Amazon, Walmart, Cisco, Uber and Meta who raced to give AI tools access to employees are now seemingly learning the ‘hard truth’ that AI is not … – The Times of India Read More »