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Microsoft Issues Security Fixes for 56 Flaws, Including Active Exploit and Two Zero-Days The Hacker Newsinfo@thehackernews.com (The Hacker News)

Microsoft closed out 2025 with patches for 56 security flaws in various products across the Windows platform, including one vulnerability that has been actively exploited in the wild. Of the 56 flaws, three are rated Critical, and 53 are rated Important in severity. Two other defects are listed as publicly known at the time of […]

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Inside the playbook of companies winning with AI AI News

Inside the playbook of companies winning with AI AI News

Inside the playbook of companies winning with AIAI News Many companies are still working out how to use AI in a steady and practical way, but a small group is already pulling ahead. New research from NTT DATA outlines a playbook that shows how these “AI leaders” set themselves apart through strong plans, firm decisions, and a disciplined approach to building and using AI
The post Inside the playbook of companies winning with AI appeared first on AI News.

 Many companies are still working out how to use AI in a steady and practical way, but a small group is already pulling ahead. New research from NTT DATA outlines a playbook that shows how these “AI leaders” set themselves apart through strong plans, firm decisions, and a disciplined approach to building and using AI
The post Inside the playbook of companies winning with AI appeared first on AI News. Read More  

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Mistral AI Ships Devstral 2 Coding Models And Mistral Vibe CLI For Agentic, Terminal Native Development MarkTechPost

Mistral AI Ships Devstral 2 Coding Models And Mistral Vibe CLI For Agentic, Terminal Native Development MarkTechPost

Mistral AI Ships Devstral 2 Coding Models And Mistral Vibe CLI For Agentic, Terminal Native DevelopmentMarkTechPost Mistral AI has introduced Devstral 2, a next generation coding model family for software engineering agents, together with Mistral Vibe CLI, an open source command line coding assistant that runs inside the terminal or IDEs that support the Agent Communication Protocol. Devstral 2 and Devstral Small 2, model sizes, context and benchmarks Devstral 2 is
The post Mistral AI Ships Devstral 2 Coding Models And Mistral Vibe CLI For Agentic, Terminal Native Development appeared first on MarkTechPost.

 Mistral AI has introduced Devstral 2, a next generation coding model family for software engineering agents, together with Mistral Vibe CLI, an open source command line coding assistant that runs inside the terminal or IDEs that support the Agent Communication Protocol. Devstral 2 and Devstral Small 2, model sizes, context and benchmarks Devstral 2 is
The post Mistral AI Ships Devstral 2 Coding Models And Mistral Vibe CLI For Agentic, Terminal Native Development appeared first on MarkTechPost. Read More  

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Arbitrage: Efficient Reasoning via Advantage-Aware Speculation AI updates on arXiv.org

Arbitrage: Efficient Reasoning via Advantage-Aware Speculationcs.AI updates on arXiv.org arXiv:2512.05033v2 Announce Type: replace-cross
Abstract: Modern Large Language Models achieve impressive reasoning capabilities with long Chain of Thoughts, but they incur substantial computational cost during inference, and this motivates techniques to improve the performance-cost ratio. Among these techniques, Speculative Decoding accelerates inference by employing a fast but inaccurate draft model to autoregressively propose tokens, which are then verified in parallel by a more capable target model. However, due to unnecessary rejections caused by token mismatches in semantically equivalent steps, traditional token-level Speculative Decoding struggles in reasoning tasks. Although recent works have shifted to step-level semantic verification, which improve efficiency by accepting or rejecting entire reasoning steps, existing step-level methods still regenerate many rejected steps with little improvement, wasting valuable target compute. To address this challenge, we propose Arbitrage, a novel step-level speculative generation framework that routes generation dynamically based on the relative advantage between draft and target models. Instead of applying a fixed acceptance threshold, Arbitrage uses a lightweight router trained to predict when the target model is likely to produce a meaningfully better step. This routing approximates an ideal Arbitrage Oracle that always chooses the higher-quality step, achieving near-optimal efficiency-accuracy trade-offs. Across multiple mathematical reasoning benchmarks, Arbitrage consistently surpasses prior step-level Speculative Decoding baselines, reducing inference latency by up to $sim2times$ at matched accuracy.

 arXiv:2512.05033v2 Announce Type: replace-cross
Abstract: Modern Large Language Models achieve impressive reasoning capabilities with long Chain of Thoughts, but they incur substantial computational cost during inference, and this motivates techniques to improve the performance-cost ratio. Among these techniques, Speculative Decoding accelerates inference by employing a fast but inaccurate draft model to autoregressively propose tokens, which are then verified in parallel by a more capable target model. However, due to unnecessary rejections caused by token mismatches in semantically equivalent steps, traditional token-level Speculative Decoding struggles in reasoning tasks. Although recent works have shifted to step-level semantic verification, which improve efficiency by accepting or rejecting entire reasoning steps, existing step-level methods still regenerate many rejected steps with little improvement, wasting valuable target compute. To address this challenge, we propose Arbitrage, a novel step-level speculative generation framework that routes generation dynamically based on the relative advantage between draft and target models. Instead of applying a fixed acceptance threshold, Arbitrage uses a lightweight router trained to predict when the target model is likely to produce a meaningfully better step. This routing approximates an ideal Arbitrage Oracle that always chooses the higher-quality step, achieving near-optimal efficiency-accuracy trade-offs. Across multiple mathematical reasoning benchmarks, Arbitrage consistently surpasses prior step-level Speculative Decoding baselines, reducing inference latency by up to $sim2times$ at matched accuracy. Read More  

Security News

Microsoft Patch Tuesday December 2025, (Tue, Dec 9th)SANS Internet Storm Center, InfoCON: green

This release addresses 57 vulnerabilities. 3 of these vulnerabilities are rated critical. One vulnerability was already exploited, and two were publicly disclosed before the patch was released. CVE-2025-62221: This privilege escalation vulnerability in the Microsoft Cloud Files Mini Filters driver is already being exploited. CVE-2025-54100: A PowerShell script using Invoke-WebRequest may execute scripts that are included […]

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Microsoft Patch Tuesday, December 2025 EditionKrebs on SecurityBrianKrebs

Microsoft today pushed updates to fix at least 56 security flaws in its Windows operating systems and supported software. This final Patch Tuesday of 2025 tackles one zero-day bug that is already being exploited, as well as two publicly disclosed vulnerabilities. Despite releasing a lower-than-normal number of security updates these past few months, Microsoft patched […]

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How to Develop AI-Powered Solutions, Accelerated by AI Towards Data Science

How to Develop AI-Powered Solutions, Accelerated by AITowards Data Science From idea to impact :  using AI as your accelerating copilot
The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science.

 From idea to impact :  using AI as your accelerating copilot
The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science. Read More  

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OpenAI targets AI skills gap with new certification standards AI News

OpenAI targets AI skills gap with new certification standards AI News

OpenAI targets AI skills gap with new certification standardsAI News Adoption of generative AI has outpaced workforce capability, prompting OpenAI to target the skills gap with new certification standards. While it’s safe to say OpenAI’s tools have reached mass adoption, organisations struggle to convert this usage into reliable output. To address this, OpenAI has announced ‘AI Foundations,’ a structured initiative designed to standardise how employees
The post OpenAI targets AI skills gap with new certification standards appeared first on AI News.

 Adoption of generative AI has outpaced workforce capability, prompting OpenAI to target the skills gap with new certification standards. While it’s safe to say OpenAI’s tools have reached mass adoption, organisations struggle to convert this usage into reliable output. To address this, OpenAI has announced ‘AI Foundations,’ a structured initiative designed to standardise how employees
The post OpenAI targets AI skills gap with new certification standards appeared first on AI News. Read More