General
Gemini 3.1 Pro is Google's DeepMind Gemini model card detailing the capabilities, inputs/outputs, architecture, training data, deployment options, and safety measures for the Gemini 3 series. It presents extensive evaluation results, risk mitigations, and a Frontier Safety framework to govern advanced AI capabilities, highlighting its suitability for complex, multimodal tasks and responsible deployment.
This post introduces Forward Propagation of Errors Through Time (FPTT) as a forward-gradient alternative to backpropagation through time for training recurrent neural networks. It …
The article covers the kernel's swapping subsystem modernization, centering on replacing device-scoped swap tables with a single virtual swap space. It explains how this indirectio…
This article analyzes Anthropic's Claude C Compiler and what it implies for the future of software: AI moves from code generation to engineering participation across full systems, …
The Guardian reports that US funding for global internet freedom, managed through the Internet Freedom program and the Open Technology Fund, has been severely curtailed, with sever…