Tag: cross-platform

  • Cloud Blog: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs

    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/ttd-instruction-emulation-bugs/ Source: Cloud Blog Title: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs Feedly Summary: Written by: Dhanesh Kizhakkinan, Nino Isakovic Executive Summary This blog post presents an in-depth exploration of Microsoft’s Time Travel Debugging (TTD) framework, a powerful record-and-replay debugging framework for Windows user-mode applications. TTD relies heavily on accurate…

  • Docker: Desktop 4.39: Smarter AI Agent, Docker CLI in GA, and Effortless Multi-Platform Builds

    Source URL: https://www.docker.com/blog/docker-desktop-4-39/ Source: Docker Title: Desktop 4.39: Smarter AI Agent, Docker CLI in GA, and Effortless Multi-Platform Builds Feedly Summary: Docker Desktop 4.39 brings Docker AI Agent for real-time help, plus Bake for faster builds and Multi-Node Kubernetes for better testing. Learn more! AI Summary and Description: Yes **Summary:** The text discusses the latest…

  • Simon Willison’s Weblog: olmOCR

    Source URL: https://simonwillison.net/2025/Feb/26/olmocr/#atom-everything Source: Simon Willison’s Weblog Title: olmOCR Feedly Summary: olmOCR New from Ai2 – olmOCR is “an open-source tool designed for high-throughput conversion of PDFs and other documents into plain text while preserving natural reading order". At its core is allenai/olmOCR-7B-0225-preview, a Qwen2-VL-7B-Instruct variant trained on ~250,000 pages of diverse PDF content (both…

  • Hacker News: Agents for Computer Use

    Source URL: https://github.com/francedot/acu Source: Hacker News Title: Agents for Computer Use Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses AI agents designed for computer use, highlighting their autonomous capabilities to interact with digital interfaces. It presents several resources and tools for developing and utilizing these AI agents, which can be significant…

  • Hacker News: iPhone apps found on App Store with malware that reads your screenshots for data

    Source URL: https://9to5mac.com/2025/02/05/iphone-apps-on-app-store-malware-reads-screenshots/ Source: Hacker News Title: iPhone apps found on App Store with malware that reads your screenshots for data Feedly Summary: Comments AI Summary and Description: Yes Summary: Researchers at Kaspersky have discovered a novel malware, termed ‘SparkCat’, embedded in iOS and Android apps, utilizing screenshot-reading OCR technology to search for sensitive recovery…

  • Slashdot: First OCR Spyware Breaches Both Apple and Google App Stores To Steal Crypto Wallet Phrases

    Source URL: https://it.slashdot.org/story/25/02/05/1826259/first-ocr-spyware-breaches-both-apple-and-google-app-stores-to-steal-crypto-wallet-phrases?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: First OCR Spyware Breaches Both Apple and Google App Stores To Steal Crypto Wallet Phrases Feedly Summary: AI Summary and Description: Yes **Summary:** Researchers from Kaspersky have identified new malware named “SparkCat” that exploits optical character recognition (OCR) technology to extract cryptocurrency wallet recovery phrases from users’ photo galleries…

  • Hacker News: Why Tracebit is written in C#

    Source URL: https://tracebit.com/blog/why-tracebit-is-written-in-c-sharp Source: Hacker News Title: Why Tracebit is written in C# Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the decision behind choosing C# as the programming language for a B2B SaaS security product, Tracebit. It highlights key factors such as productivity, open-source viability, cross-platform capabilities, language popularity, memory…

  • Hacker News: How to run DeepSeek R1 locally

    Source URL: https://workos.com/blog/how-to-run-deepseek-r1-locally Source: Hacker News Title: How to run DeepSeek R1 locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** DeepSeek R1 is an open-source large language model (LLM) designed for local deployment to enhance data privacy and performance in conversational AI, coding, and problem-solving tasks. Its capability to outperform OpenAI’s flagship model…