Experimental News Clipping Site

Tag: Large Language Models (LLMs)

  • Slashdot: Can You Run the Llama 2 LLM on DOS?

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/04/21/0026255/can-you-run-the-llama-2-llm-on-dos Source: Slashdot Title: Can You Run the Llama 2 LLM on DOS? Feedly Summary: AI Summary and Description: Yes Summary: The text revolves around an innovative project by an embedded security researcher who successfully ported Llama 2, a large language model (LLM), to run on vintage DOS machines. This challenges the conventional…

  • Simon Willison’s Weblog: MCP Run Python

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/18/mcp-run-python/ Source: Simon Willison’s Weblog Title: MCP Run Python Feedly Summary: MCP Run Python Pydantic AI’s MCP server for running LLM-generated Python code in a sandbox. They ended up using a trick I explored two years ago: using a Deno process to run Pyodide in a WebAssembly sandbox. Here’s a bit of a…

  • Simon Willison’s Weblog: Start building with Gemini 2.5 Flash

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/17/start-building-with-gemini-25-flash/ Source: Simon Willison’s Weblog Title: Start building with Gemini 2.5 Flash Feedly Summary: Start building with Gemini 2.5 Flash Google Gemini’s latest model is Gemini 2.5 Flash, available in (paid) preview as gemini-2.5-flash-preview-04-17. Building upon the popular foundation of 2.0 Flash, this new version delivers a major upgrade in reasoning capabilities, while…

  • Simon Willison’s Weblog: Quoting Ted Sanders, OpenAI

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/17/ted-sanders/ Source: Simon Willison’s Weblog Title: Quoting Ted Sanders, OpenAI Feedly Summary: Our hypothesis is that o4-mini is a much better model, but we’ll wait to hear feedback from developers. Evals only tell part of the story, and we wouldn’t want to prematurely deprecate a model that developers continue to find value in.…

  • Slashdot: NATO Inks Deal With Palantir For Maven AI System

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/04/14/1917246/nato-inks-deal-with-palantir-for-maven-ai-system?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: NATO Inks Deal With Palantir For Maven AI System Feedly Summary: AI Summary and Description: Yes Summary: NATO has awarded a contract to Palantir to implement its Maven Smart System, integrating AI capabilities for battlefield operations, aiming to enhance military decision-making and command efficacy. This initiative highlights the growing…

  • Simon Willison’s Weblog: Using LLMs as the first line of support in Open Source

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/14/llms-as-the-first-line-of-support/ Source: Simon Willison’s Weblog Title: Using LLMs as the first line of support in Open Source Feedly Summary: Using LLMs as the first line of support in Open Source From reading the title I was nervous that this might involve automating the initial response to a user support query in an issue…

  • Simon Willison’s Weblog: Quoting Andrew Nesbitt

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/12/andrew-nesbitt/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andrew Nesbitt Feedly Summary: Slopsquatting — when an LLM hallucinates a non-existent package name, and a bad actor registers it maliciously. The AI brother of typosquatting. Credit to @sethmlarson for the name — Andrew Nesbitt Tags: ai-ethics, slop, packaging, generative-ai, supply-chain, ai, llms, seth-michael-larson AI Summary…

  • Simon Willison’s Weblog: llm-fragments-rust

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/11/llm-fragments-rust/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-rust Feedly Summary: llm-fragments-rust Inspired by Filippo Valsorda’s llm-fragments-go, Francois Garillot created llm-fragments-rust, an LLM fragments plugin that lets you pull documentation for any Rust crate directly into a prompt to LLM. I really like this example, which uses two fragments to load documentation for two crates…