Tag: modular
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The Register: Axiom Space and Red Hat to take edge computing into orbit
Source URL: https://www.theregister.com/2025/03/07/axiom_space_and_red_hat/ Source: The Register Title: Axiom Space and Red Hat to take edge computing into orbit Feedly Summary: To boldly go where HPE and Raspberry Pi have been for a while Axiom Space plans to send a shoebox-sized node running Red Hat Device Edge to the International Space Station (ISS).… AI Summary and…
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Hacker News: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries
Source URL: https://cloud.google.com/blog/topics/threat-intelligence/gostringungarbler-deobfuscating-strings-in-garbled-binaries Source: Hacker News Title: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries Feedly Summary: Comments AI Summary and Description: Yes Summary: This text details the challenges associated with analyzing malware written in Go that utilizes the garble obfuscator, focusing on the introduction of the GoStringUngarbler tool, which automates the deobfuscation process of string literals.…
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Cloud Blog: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries
Source URL: https://cloud.google.com/blog/topics/threat-intelligence/gostringungarbler-deobfuscating-strings-in-garbled-binaries/ Source: Cloud Blog Title: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries Feedly Summary: Written by: Chuong Dong Overview In our day-to-day work, the FLARE team often encounters malware written in Go that is protected using garble. While recent advancements in Go analysis from tools like IDA Pro have simplified the analysis process, garble…
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Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…
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Unit 42: Squidoor: Suspected Chinese Threat Actor’s Backdoor Targets Global Organizations
Source URL: https://unit42.paloaltonetworks.com/?p=138415 Source: Unit 42 Title: Squidoor: Suspected Chinese Threat Actor’s Backdoor Targets Global Organizations Feedly Summary: We analyze the backdoor Squidoor, used by a suspected Chinese threat actor to steal sensitive information. This multi-platform backdoor is built for stealth. The post Squidoor: Suspected Chinese Threat Actor’s Backdoor Targets Global Organizations appeared first on…
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Hacker News: Evaluating modular RAG with reasoning models
Source URL: https://www.kapa.ai/blog/evaluating-modular-rag-with-reasoning-models Source: Hacker News Title: Evaluating modular RAG with reasoning models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the challenges and potential of Modular Retrieval-Augmented Generation (RAG) systems using reasoning models like o3-mini. It emphasizes the distinction between reasoning capabilities and practical experience in tool usage, highlighting insights…
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Hacker News: Show HN: MyCoder, an open source Claude-Code alternative
Source URL: https://github.com/drivecore/mycoder Source: Hacker News Title: Show HN: MyCoder, an open source Claude-Code alternative Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes MyCoder, a command-line AI agent specialized in coding tasks. It utilizes a modular architecture, enabling it to perform complex operations such as code modifications, dependency updates, and documentation…