Experimental News Clipping Site

Tag: Large Language Models (LLMs)

  • Hacker News: Get the hell out of the LLM as soon as possible

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    Kurt Seifried
    in

    Source URL: https://sgnt.ai/p/hell-out-of-llms/ Source: Hacker News Title: Get the hell out of the LLM as soon as possible Feedly Summary: Comments AI Summary and Description: Yes Summary: The text emphasizes that large language models (LLMs) should not be entrusted with decision-making or core application logic due to their inherent limitations. Instead, they should serve strictly…

  • Hacker News: Addressing Burnout – Libera Chat

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    Kurt Seifried
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    Source URL: https://libera.chat/news/burnout Source: Hacker News Title: Addressing Burnout – Libera Chat Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of LLM-based support scripts at Libera.Chat in response to staff burnout and support query overload. It highlights the potential of large language models (LLMs) to alleviate staff workload but…

  • Simon Willison’s Weblog: debug-gym

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/31/debug-gym/#atom-everything Source: Simon Willison’s Weblog Title: debug-gym Feedly Summary: debug-gym New paper and code from Microsoft Research that experiments with giving LLMs access to the Python debugger. They found that the best models could indeed improve their results by running pdb as a tool. They saw the best results overall from Claude 3.7…

  • Hacker News: LLM Workflows then Agents: Getting Started with Apache Airflow

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    Kurt Seifried
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    Source URL: https://github.com/astronomer/airflow-ai-sdk Source: Hacker News Title: LLM Workflows then Agents: Getting Started with Apache Airflow Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents an SDK for integrating large language models (LLMs) into Apache Airflow workflows. This novel approach enhances AI orchestration by providing refined task decorators that streamline calling LLMs,…

  • Hacker News: The First LLM

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    Kurt Seifried
    in

    Source URL: https://thundergolfer.com/blog/the-first-llm Source: Hacker News Title: The First LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a historical overview and personal reflections on the development of large language models (LLMs), particularly focusing on the contributions of various models and researchers leading up to the advent of GPT-1. It highlights…

  • Hacker News: Jeremy Howard taught AI and helped invent ChatGPT. He fears he’s failed

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    Kurt Seifried
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    Source URL: https://www.abc.net.au/news/science/2023-11-15/jeremy-howard-taught-ai-to-the-world-and-helped-invent-chatgpt/103092474 Source: Hacker News Title: Jeremy Howard taught AI and helped invent ChatGPT. He fears he’s failed Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an overview of Jeremy Howard’s contributions to the development of natural language processing (NLP) and large language models (LLMs), ultimately leading to tools like…

  • Hacker News: Gemini hackers can deliver more potent attacks with a helping hand from Gemini

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    Kurt Seifried
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    Source URL: https://arstechnica.com/security/2025/03/gemini-hackers-can-deliver-more-potent-attacks-with-a-helping-hand-from-gemini/ Source: Hacker News Title: Gemini hackers can deliver more potent attacks with a helping hand from Gemini Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses the emerging threat of indirect prompt injection attacks on large language models (LLMs) like OpenAI’s GPT-3, GPT-4, and Google’s Gemini. It outlines…

  • Hacker News: The Great Chatbot Debate – March 25th

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    Kurt Seifried
    in

    Source URL: https://computerhistory.org/events/great-chatbot-debate/ Source: Hacker News Title: The Great Chatbot Debate – March 25th Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an upcoming live debate regarding the nature of large language models (LLMs) and raises important questions about their understanding and capabilities. This discourse is relevant for professionals in AI…

  • Wired: Anthropic’s Claude Is Good at Poetry—and Bullshitting

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/plaintext-anthropic-claude-brain-research/ Source: Wired Title: Anthropic’s Claude Is Good at Poetry—and Bullshitting Feedly Summary: Researchers looked inside the chatbot’s “brain.” The results were surprisingly chilling. AI Summary and Description: Yes Summary: The text discusses the challenges researchers face in describing Anthropic’s large language model, Claude, while avoiding anthropomorphism. The release of new papers highlights…

  • Slashdot: Anthropic Maps AI Model ‘Thought’ Processes

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/03/28/0614200/anthropic-maps-ai-model-thought-processes?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Anthropic Maps AI Model ‘Thought’ Processes Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a recent advancement in understanding large language models (LLMs) through the development of a “cross-layer transcoder” (CLT). By employing techniques similar to functional MRI, researchers can visualize the internal processing of LLMs,…