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A focused stream of recent stories from the sources curated for this community. Latest: Russian-speaking hackers used SpaceX’s AI coding tool Cursor to breach Belgian firm, six others, researchers say - Profit by Pakistan Today, Google AI Releases Gemini 3.5 Transcribe: A Speech-to-Text Model Reporting 2.6% Average WER Across 85+ Languages, and Skip today’s Windows 11 update: it breaks cursor styling, resets wallpaper, and more - Windows Latest. Page 18.
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Russian-speaking hackers used SpaceX’s AI coding tool Cursor to breach Belgian firm, six others, researchers say Profit by Pakistan Today
Topics: IDEs
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Google released Gemini 3.5 Transcribe, speech-to-text model reporting 2.6% word error rate across 85-plus languages, in public preview
Google News AI Coding
Skip today’s Windows 11 update: it breaks cursor styling, resets wallpaper, and more Windows Latest
Topics: IDEs
Google News AI Coding
OpenAI Transforms Codex into a "Perpetual Motion Machine": Exposed Internal Code Reveals No Forced Hibernation & Zero Downtime Operation 36 Kr
Topics: Code Assistants
Entities: OpenAICode Assistants
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Abstract page for arXiv paper 2608.26363: A Unified Framework for the Mechanics of Information in Convolutional Neural Network Image Space
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Abstract page for arXiv paper 2608.26317: Modality Maturity Index: A benchmark for assessing multimodal capabilities of omni models
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Abstract page for arXiv paper 2608.26238: Procedura: Agentic 3D Modeling with Procedural Control
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Abstract page for arXiv paper 2608.26126: TelecomGPT-R1: A Unified Open-Source Reasoner for the Telecom Stack
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Abstract page for arXiv paper 2608.26125: Training-Time Explainability for Multilingual Hate Speech Detection: Aligning Model Reasoning with Human Rationales
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Abstract page for arXiv paper 2608.26124: Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Framework
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Abstract page for arXiv paper 2608.26121: Can a Model Catch Its Own Hallucinations for Free?: Label-Free Doubt Signals Hold Their Own Against a Labelled Dataset for Abstention
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Abstract page for arXiv paper 2608.26120: Recipes for Steering and Scaling LLMs via Sampling
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