Tag: research

  • Hacker News: gptel: a simple LLM client for Emacs

    Source URL: https://github.com/karthink/gptel Source: Hacker News Title: gptel: a simple LLM client for Emacs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes “gptel,” a client for interacting with Large Language Models (LLMs) in Emacs. It allows users to engage with different LLMs seamlessly within the Emacs environment, supporting features like contextual…

  • Hacker News: Project Sid: Many-agent simulations toward AI civilization

    Source URL: https://github.com/altera-al/project-sid Source: Hacker News Title: Project Sid: Many-agent simulations toward AI civilization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “Project Sid,” which explores large-scale simulations of AI agents within a structured society. It highlights innovations in agent interaction, architecture, and the potential implications for understanding AI’s role in…

  • Slashdot: AI Bug Bounty Program Finds 34 Flaws in Open-Source Tools

    Source URL: https://it.slashdot.org/story/24/11/03/0123205/ai-bug-bounty-program-finds-34-flaws-in-open-source-tools?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Bug Bounty Program Finds 34 Flaws in Open-Source Tools Feedly Summary: AI Summary and Description: Yes Summary: The report highlights the identification of numerous vulnerabilities in open-source AI and ML tools, particularly through Protect AI’s bug bounty program. It emphasizes the critical nature of security in AI development,…

  • Slashdot: Is AI-Driven 0-Day Detection Here?

    Source URL: https://it.slashdot.org/story/24/11/02/2150233/is-ai-driven-0-day-detection-here?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Is AI-Driven 0-Day Detection Here? Feedly Summary: AI Summary and Description: Yes Summary: This text discusses the advancements in AI-driven vulnerability detection, particularly focusing on the implementation of LLM-powered methodologies that have proven effective in identifying critical zero-day vulnerabilities. The approach combines deep program analysis with adversarial AI agents,…

  • Hacker News: Quantum Machines and Nvidia use ML toward error-corrected quantum computer

    Source URL: https://techcrunch.com/2024/11/02/quantum-machines-and-nvidia-use-machine-learning-to-get-closer-to-an-error-corrected-quantum-computer/ Source: Hacker News Title: Quantum Machines and Nvidia use ML toward error-corrected quantum computer Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a partnership between Quantum Machines and Nvidia aimed at enhancing quantum computing through improved calibration techniques using Nvidia’s DGX Quantum platform and reinforcement learning models. This…

  • Hacker News: SmolLM2

    Source URL: https://simonwillison.net/2024/Nov/2/smollm2/ Source: Hacker News Title: SmolLM2 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces SmolLM2, a new family of compact language models from Hugging Face, designed for lightweight on-device operations. The models, which range from 135M to 1.7B parameters, were trained on 11 trillion tokens across diverse datasets, showcasing…

  • Hacker News: Prompts are Programs

    Source URL: https://blog.sigplan.org/2024/10/22/prompts-are-programs/ Source: Hacker News Title: Prompts are Programs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the parallels between AI model prompts and traditional software programs, emphasizing the need for programming language and software engineering communities to adapt and create new research avenues. As ChatGPT and similar large language…

  • Simon Willison’s Weblog: SmolLM2

    Source URL: https://simonwillison.net/2024/Nov/2/smollm2/#atom-everything Source: Simon Willison’s Weblog Title: SmolLM2 Feedly Summary: SmolLM2 New from Loubna Ben Allal and her research team at Hugging Face: SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They are capable of solving a wide range of tasks while being lightweight enough…

  • Slashdot: Waymo Explores Using Google’s Gemini To Train Its Robotaxis

    Source URL: https://tech.slashdot.org/story/24/11/01/2150228/waymo-explores-using-googles-gemini-to-train-its-robotaxis?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Waymo Explores Using Google’s Gemini To Train Its Robotaxis Feedly Summary: AI Summary and Description: Yes Summary: Waymo’s introduction of its new training model for autonomous driving, called EMMA, highlights a significant advancement in the application of multimodal large language models (MLLMs) in operational environments beyond traditional uses. This…

  • Hacker News: AMD Open-Source 1B OLMo Language Models

    Source URL: https://www.amd.com/en/developer/resources/technical-articles/introducing-the-first-amd-1b-language-model.html Source: Hacker News Title: AMD Open-Source 1B OLMo Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses AMD’s development and release of the OLMo series, a set of open-source large language models (LLMs) designed to cater to specific organizational needs through customizable training and architecture adjustments. This…