Experimental News Clipping Site

Tag: bing

  • Hacker News: Tea Extensions [pdf] (2006)

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    Kurt Seifried
    in

    Source URL: https://tayloredge.com/reference/Mathematics/TEA-XTEA.pdf Source: Hacker News Title: Tea Extensions [pdf] (2006) Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses the Tiny Encryption Algorithm (TEA), describing its characteristics, efficiency, and practical implementations in various programming languages. As a lightweight and open-source encryption technique, TEA is notable for its simplicity and speed,…

  • The Register: The Feds want developers to stop coding ‘unforgivable’ buffer overflow vulns

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/13/fbi_cisa_unforgivable_buffer_overflow/ Source: The Register Title: The Feds want developers to stop coding ‘unforgivable’ buffer overflow vulns Feedly Summary: FBI, CISA harrumph at Microsoft and VMware in call for coders to quit baking avoidable defects into stuff US authorities have labelled buffer overflow vulnerabilities “unforgivable defects”, pointed to the presence of the holes in…

  • Hacker News: Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs

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    Kurt Seifried
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    Source URL: https://www.emergent-values.ai/ Source: Hacker News Title: Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the emergent value systems in large language models (LLMs) and proposes a new research agenda for “utility engineering” to analyze and control AI utilities. It highlights…

  • Hacker News: Why LLMs still suck at OCR

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    Kurt Seifried
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    Source URL: https://www.runpulse.com/blog/why-llms-suck-at-ocr Source: Hacker News Title: Why LLMs still suck at OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the challenges faced when using Large Language Models (LLMs) for tasks like Optical Character Recognition (OCR) and complex data extraction, emphasizing their limitations in processing intricate document layouts and the…

  • Cloud Blog: How to build a strong brand logo with Imagen 3 and Gemini

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-a-brand-logo-with-imagen-3-and-gemini/ Source: Cloud Blog Title: How to build a strong brand logo with Imagen 3 and Gemini Feedly Summary: Last year we announced Imagen 3, our highest quality image generation model. Imagen 3 is available to Vertex AI customers, which means businesses can create high quality images that reflect their own brand style…

  • Unit 42: Stealers on the Rise: A Closer Look at a Growing macOS Threat

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    Kurt Seifried
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    Source URL: https://unit42.paloaltonetworks.com/?p=138244 Source: Unit 42 Title: Stealers on the Rise: A Closer Look at a Growing macOS Threat Feedly Summary: Atomic Stealer, Poseidon Stealer and Cthulhu Stealer target macOS. We discuss their various properties and examine leverage of the AppleScript framework. The post Stealers on the Rise: A Closer Look at a Growing macOS…

  • The Register: Privacy Commissioner warns the ‘John Smiths’ of the world can acquire ‘digital doppelgangers’

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/02/03/australia_digital_doppelgangers_privacy_award/ Source: The Register Title: Privacy Commissioner warns the ‘John Smiths’ of the world can acquire ‘digital doppelgangers’ Feedly Summary: Australian government staff mixed medical info for folk who share names and birthdays Australia’s privacy commissioner has found that government agencies down under didn’t make enough of an effort to protect data describing…

  • Hacker News: AI Is Robbing Jr. Devs

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    Kurt Seifried
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    Source URL: https://benbrougher.tech/posts/llms-are-robbing-jr-devs/ Source: Hacker News Title: AI Is Robbing Jr. Devs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the implications of relying on AI, particularly large language models (LLMs), to handle tasks typically assigned to junior developers. The author argues that this practice undermines the learning opportunities and mentorship…