Experimental News Clipping Site

Tag: based

  • Hacker News: Ollama-Swift

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    Kurt Seifried
    in

    Source URL: https://nshipster.com/ollama/ Source: Hacker News Title: Ollama-Swift Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Apple Intelligence introduced at WWDC 2024 and highlights Ollama, a tool that allows users to run large language models (LLMs) locally on their Macs. It emphasizes the advantages of local AI computation, including enhanced privacy,…

  • Slashdot: Ask Slashdot: What Would It Take For You to Trust an AI?

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    Kurt Seifried
    in

    Source URL: https://ask.slashdot.org/story/25/02/15/2047258/ask-slashdot-what-would-it-take-for-you-to-trust-an-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Ask Slashdot: What Would It Take For You to Trust an AI? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses concerns surrounding trust in AI systems, specifically referencing the DeepSeek AI and its approach to information censorship and data collection. It raises critical questions about the…

  • The Register: Nearly 10 years after Data and Goliath, Bruce Schneier says: Privacy’s still screwed

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/15/interview_bruce_schneier/ Source: The Register Title: Nearly 10 years after Data and Goliath, Bruce Schneier says: Privacy’s still screwed Feedly Summary: ‘In 50 years, I think we’ll view these business practices like we view sweatshops today’ Interview It has been nearly a decade since famed cryptographer and privacy expert Bruce Schneier released the book…

  • Hacker News: AI Mistakes Are Different from Human Mistakes

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html Source: Hacker News Title: AI Mistakes Are Different from Human Mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the unique nature of mistakes made by AI, particularly large language models (LLMs), contrasting them with human errors. It emphasizes the need for new security systems that address AI’s…

  • Hacker News: Goku Flow Based Video Generative Foundation Models

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    Kurt Seifried
    in

    Source URL: https://github.com/Saiyan-World/goku Source: Hacker News Title: Goku Flow Based Video Generative Foundation Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Goku, a novel family of joint image-and-video generative models, emphasizing advancements in performance and high-quality generation techniques. It focuses on innovative integration within AI-generated visual content, which is highly…

  • Hacker News: Show HN: Letting LLMs Run a Debugger

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    Kurt Seifried
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    Source URL: https://github.com/mohsen1/llm-debugger-vscode-extension Source: Hacker News Title: Show HN: Letting LLMs Run a Debugger Feedly Summary: Comments AI Summary and Description: Yes **Summary:** LLM Debugger is a VSCode extension that showcases an innovative use of large language models (LLMs) for active runtime debugging of programs, moving beyond traditional static analysis. By integrating real-time data related…

  • Hacker News: Did Semgrep Just Get a Lot More Interesting?

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    Kurt Seifried
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    Source URL: https://fly.io/blog/semgrep-but-for-real-now/ Source: Hacker News Title: Did Semgrep Just Get a Lot More Interesting? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evolving role of LLM-driven development tools like Cursor in code generation and security, particularly in leveraging Semgrep for vulnerability detection. It highlights the potential for closed-loop LLM…