Experimental News Clipping Site

Tag: checking

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Simon Willison’s Weblog: Hallucinations in code are the least dangerous form of LLM mistakes

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/#atom-everything Source: Simon Willison’s Weblog Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination – usually the LLM inventing a method or even a full software library…

  • Cloud Blog: The IT Admin’s Guide to Google AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/chrome-enterprise/the-it-admins-guide-to-google-ai/ Source: Cloud Blog Title: The IT Admin’s Guide to Google AI Feedly Summary: Artificial intelligence is transforming how we work, learn, and interact with technology every day, offering never-before-seen opportunities to increase efficiency and improve end-user experiences. However, effectively managing a fleet of devices with so much new technology requires staying ahead…

  • Hacker News: The journalists training AI models for Meta and OpenAI

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    by

    Kurt Seifried
    in

    Source URL: https://www.niemanlab.org/2025/02/meet-the-journalists-training-ai-models-for-meta-and-openai/ Source: Hacker News Title: The journalists training AI models for Meta and OpenAI Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the increasing trend of journalists transitioning to data-related roles, particularly in AI model training, due to economic pressures in traditional journalism. It highlights how…

  • Simon Willison’s Weblog: Deep research System Card

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/25/deep-research-system-card/#atom-everything Source: Simon Willison’s Weblog Title: Deep research System Card Feedly Summary: Deep research System Card OpenAI are rolling out their Deep research “agentic" research tool to their $20/month ChatGPT Plus users today, who get 10 queries a month. $200/month ChatGPT Pro gets 120 uses. Deep research is the best version of this…

  • Hacker News: Running Systemd-Nspawn Containers

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    Kurt Seifried
    in

    Source URL: https://benjamintoll.com/2022/02/04/on-running-systemd-nspawn-containers/ Source: Hacker News Title: Running Systemd-Nspawn Containers Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses systemd-nspawn, a more secure and lightweight alternative to Docker for managing containers on Linux systems. It highlights the advantages of systemd-nspawn in terms of security and ease of configuration compared to traditional chroot…

  • Hacker News: Run structured extraction on documents/images locally with Ollama and Pydantic

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    by

    Kurt Seifried
    in

    Source URL: https://github.com/vlm-run/vlmrun-hub Source: Hacker News Title: Run structured extraction on documents/images locally with Ollama and Pydantic Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the VLM Run Hub, which offers pre-defined Pydantic schemas aimed at facilitating data extraction from unstructured visual domains like images and videos, particularly for Vision Language…

  • Hacker News: AI Mistakes Are Different from Human Mistakes

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    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…