Experimental News Clipping Site

Tag: continuous learning

  • CSA: Secure Vibe Coding Guide

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/04/09/secure-vibe-coding-guide Source: CSA Title: Secure Vibe Coding Guide Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses “vibe coding,” an AI-assisted programming approach where users utilize natural language to generate code through large language models (LLMs). While this method promises greater accessibility to non-programmers, it brings critical security concerns as AI-generated…

  • Cisco Security Blog: From Firewalls to AI: The Evolution of Real-Time Cyber Defense

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    Kurt Seifried
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    Source URL: https://feedpress.me/link/23535/17001294/from-firewalls-to-ai-the-evolution-of-real-time-cyber-defense Source: Cisco Security Blog Title: From Firewalls to AI: The Evolution of Real-Time Cyber Defense Feedly Summary: Explore how AI is transforming cyber defense, evolving from traditional firewalls to real-time intrusion detection systems. AI Summary and Description: Yes Summary: The text discusses the transformative impact of AI on cyber defense mechanisms, highlighting…

  • Enterprise AI Trends: AI Agents Explained Without Hype, From The Ground Up

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    Kurt Seifried
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    Source URL: https://nextword.substack.com/p/ai-agents-explained-without-hype Source: Enterprise AI Trends Title: AI Agents Explained Without Hype, From The Ground Up Feedly Summary: AI agents are Big Data and Data Science in 2013 all over again. Everyone talks about it, but they all think different things. This causes marketing and sales challenges. AI Summary and Description: Yes Summary: The…

  • Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data

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    Kurt Seifried
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    Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…

  • Cloud Blog: Nuro drives autonomous innovation with AlloyDB for PostgreSQL

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/nuro-drives-autonomous-innovation-with-alloydb-for-postgresql/ Source: Cloud Blog Title: Nuro drives autonomous innovation with AlloyDB for PostgreSQL Feedly Summary: Editor’s note: Nuro, a robotics company that develops technology for self-driving vehicles, needed a data platform that could handle complex data processes and support continuous AI model improvement. By migrating to AlloyDB for PostgreSQL, Nuro gained the scalability,…

  • CSA: AI Agents in 2025: The Frontier of Corporate Success

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    Kurt Seifried
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    Source URL: https://koat.ai/ai-agents-for-corporate-success/ Source: CSA Title: AI Agents in 2025: The Frontier of Corporate Success Feedly Summary: AI Summary and Description: Yes Summary: The text discusses AI agents as advanced autonomous systems that perform specific tasks and enhance business operations primarily through automation and predictive analytics, with significant implications for cybersecurity. It underscores their role…

  • CSA: Offensive vs. Defensive AI: Who Wins the Cybersecurity War?

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    Kurt Seifried
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    Source URL: https://abnormalsecurity.com/blog/offensive-ai-defensive-ai Source: CSA Title: Offensive vs. Defensive AI: Who Wins the Cybersecurity War? Feedly Summary: AI Summary and Description: Yes Summary: The text explores the dual nature of AI in cybersecurity, highlighting both offensive and defensive AI tactics. It emphasizes the rapid evolution of cybercrime leveraging AI, portraying it as a trillion-dollar industry…

  • Hacker News: Simple Explanation of LLMs

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    Kurt Seifried
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    Source URL: https://blog.oedemis.io/understanding-llms-a-simple-guide-to-large-language-models Source: Hacker News Title: Simple Explanation of LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive overview of Large Language Models (LLMs), highlighting their rapid adoption in AI, the foundational concepts behind their architecture, such as attention mechanisms and tokenization, and their implications for various fields.…

  • CSA: Our Shield Against Bad AI Is Good AI… But Are Your Vendors AI-Native or AI-Hype?

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    Kurt Seifried
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    Source URL: https://abnormalsecurity.com/blog/ai-native-vendors Source: CSA Title: Our Shield Against Bad AI Is Good AI… But Are Your Vendors AI-Native or AI-Hype? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the dual role of artificial intelligence (AI) in cybersecurity, highlighting how cyber criminals leverage AI for sophisticated attacks while emphasizing the necessity for…

  • Simon Willison’s Weblog: Hallucinations in code are the least dangerous form of LLM mistakes

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/#atom-everything Source: Simon Willison’s Weblog Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination – usually the LLM inventing a method or even a full software library…