Experimental News Clipping Site

Tag: language

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

    —

    by

    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,…

  • Simon Willison’s Weblog: Introducing Perplexity Deep Research

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/16/introducing-perplexity-deep-research/#atom-everything Source: Simon Willison’s Weblog Title: Introducing Perplexity Deep Research Feedly Summary: Introducing Perplexity Deep Research Perplexity become the third company to release a product with “Deep Research" in the name. Google’s Gemini Deep Research: Try Deep Research and our new experimental model in Gemini, your AI assistant on December 11th 2024 OpenAI’s…

  • Simon Willison’s Weblog: Run LLMs on macOS using llm-mlx and Apple’s MLX framework

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/15/llm-mlx/#atom-everything Source: Simon Willison’s Weblog Title: Run LLMs on macOS using llm-mlx and Apple’s MLX framework Feedly Summary: llm-mlx is a brand new plugin for my LLM Python Library and CLI utility which builds on top of Apple’s excellent MLX array framework library and mlx-lm package. If you’re a terminal user or Python…

  • Hacker News: AI Mistakes Are Different from Human Mistakes

    —

    by

    Kurt Seifried
    in

    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: Show HN: Letting LLMs Run a Debugger

    —

    by

    Kurt Seifried
    in

    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: Gary Marcus discusses AI’s technical problems

    —

    by

    Kurt Seifried
    in

    Source URL: https://cacm.acm.org/opinion/not-on-the-best-path/ Source: Hacker News Title: Gary Marcus discusses AI’s technical problems Feedly Summary: Comments AI Summary and Description: Yes Summary: In this conversation featuring cognitive scientist Gary Marcus, key technical critiques of generative artificial intelligence and Large Language Models (LLMs) are discussed. Marcus argues that LLMs excel in interpolating data but struggle with…

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

    —

    by

    Kurt Seifried
    in

    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…

  • Hacker News: Show HN: VimLM – A Local, Offline Coding Assistant for Vim

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/JosefAlbers/VimLM Source: Hacker News Title: Show HN: VimLM – A Local, Offline Coding Assistant for Vim Feedly Summary: Comments AI Summary and Description: Yes Summary: VimLM is an innovative coding assistant that integrates a local Large Language Model (LLM) into the Vim environment, allowing users to enhance their coding workflow with AI-driven code…