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Tag: rag

  • Alerts: CISA Adds Five Known Exploited Vulnerabilities to Catalog

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    Kurt Seifried
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    Source URL: https://www.cisa.gov/news-events/alerts/2025/02/06/cisa-adds-five-known-exploited-vulnerabilities-catalog Source: Alerts Title: CISA Adds Five Known Exploited Vulnerabilities to Catalog Feedly Summary: CISA has added five vulnerabilities to its Known Exploited Vulnerabilities Catalog, based on evidence of active exploitation. CVE-2025-0411 7-Zip Mark of the Web Bypass Vulnerability CVE-2022-23748 Dante Discovery Process Control Vulnerability CVE-2024-21413 Microsoft Outlook Improper Input Validation Vulnerability CVE-2020-29574 CyberoamOS…

  • Cloud Blog: Announcing public beta of Gen AI Toolbox for Databases

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-gen-ai-toolbox-for-databases-get-started-today/ Source: Cloud Blog Title: Announcing public beta of Gen AI Toolbox for Databases Feedly Summary: Today, we are thrilled to announce the public beta launch of Gen AI Toolbox for Databases in partnership with LangChain, the leading orchestration framework for developers building large language model (LLM) applications. Gen AI Toolbox for Databases…

  • The Register: When it comes to AI ROI, IT decision-makers not convinced

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    Source URL: https://www.theregister.com/2025/02/06/lenovo_ai_report/ Source: The Register Title: When it comes to AI ROI, IT decision-makers not convinced Feedly Summary: Proof of concept projects stuck in pilot phase as investors get itchy feet Many business leaders remain unconvinced that AI is worth the expense despite continued hype from an industry that has bet billions on developing…

  • CSA: Agentic AI Threat Modeling Framework: MAESTRO

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/02/06/agentic-ai-threat-modeling-framework-maestro Source: CSA Title: Agentic AI Threat Modeling Framework: MAESTRO Feedly Summary: AI Summary and Description: Yes Summary: The text presents MAESTRO, a novel threat modeling framework tailored for Agentic AI, addressing the unique security challenges associated with autonomous AI agents. It offers a layered approach to risk mitigation, surpassing traditional frameworks such…

  • Cloud Blog: Using capa Rules for Android Malware Detection

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/capa-rules-android-malware-detection/ Source: Cloud Blog Title: Using capa Rules for Android Malware Detection Feedly Summary: Mobile devices have become the go-to for daily tasks like online banking, healthcare management, and personal photo storage, making them prime targets for malicious actors seeking to exploit valuable information. Bad actors often turn to publishing and distributing malware…

  • Slashdot: Researchers Created an Open Rival To OpenAI’s o1 ‘Reasoning’ Model for Under $50

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/02/06/1445231/researchers-created-an-open-rival-to-openais-o1-reasoning-model-for-under-50?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Researchers Created an Open Rival To OpenAI’s o1 ‘Reasoning’ Model for Under $50 Feedly Summary: AI Summary and Description: Yes Summary: The research collaboration between Stanford and the University of Washington is notable for developing an AI reasoning model called s1 for less than $50 in cloud compute credits.…

  • Hacker News: Researchers created an open rival to OpenAI’s o1 ‘reasoning’ model for under $50

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    Kurt Seifried
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    Source URL: https://techcrunch.com/2025/02/05/researchers-created-an-open-rival-to-openais-o1-reasoning-model-for-under-50/ Source: Hacker News Title: Researchers created an open rival to OpenAI’s o1 ‘reasoning’ model for under $50 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a new AI reasoning model developed by researchers at Stanford and the University of Washington, named s1, which performs comparably to advanced models…

  • Hacker News: Pre-Trained Large Language Models Use Fourier Features to Compute Addition

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2406.03445 Source: Hacker News Title: Pre-Trained Large Language Models Use Fourier Features to Compute Addition Feedly Summary: Comments AI Summary and Description: Yes Short Summary: The paper discusses how pre-trained large language models (LLMs) utilize Fourier features to enhance their arithmetic capabilities, specifically focusing on addition. It provides insights into the mechanisms that…