Experimental News Clipping Site

Tag: rag

  • The Register: What does it mean to build in security from the ground up?

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/02/02/security_design_choices/ Source: The Register Title: What does it mean to build in security from the ground up? Feedly Summary: As if secure design is the only bullet point in a list of software engineering best practices Systems Approach As my Systems Approach co-author Bruce Davie and I think through what it means to…

  • Hacker News: Researchers combine holograms and AI to create uncrackable optical encryption

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    Kurt Seifried
    in

    Source URL: https://www.optica.org/about/newsroom/news_releases/2025/researchers_combine_holograms_and_ai_to_create_uncrackable_optical_encryption_system/ Source: Hacker News Title: Researchers combine holograms and AI to create uncrackable optical encryption Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Researchers have created a revolutionary optical encryption system that utilizes holography and neural networks, providing a robust solution for securing sensitive data across various fields, including digital currencies and…

  • Simon Willison’s Weblog: Quoting Benedict Evans

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/2/benedict-evans/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Benedict Evans Feedly Summary: Part of the concept of ‘Disruption’ is that important new technologies tend to be bad at the things that matter to the previous generation of technology, but they do something else important instead. Asking if an LLM can do very specific and…

  • Hacker News: Andrew Ng on DeepSeek

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    Kurt Seifried
    in

    Source URL: https://www.deeplearning.ai/the-batch/issue-286/ Source: Hacker News Title: Andrew Ng on DeepSeek Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines significant advancements and trends in the field of generative AI, particularly emphasizing China’s emergence as a competitor to the U.S. in this domain, the implications of open weight models, and the innovative…

  • Hacker News: DeepSeek R1’s recipe to replicate o1 and the future of reasoning LMs

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    Kurt Seifried
    in

    Source URL: https://www.interconnects.ai/p/deepseek-r1-recipe-for-o1 Source: Hacker News Title: DeepSeek R1’s recipe to replicate o1 and the future of reasoning LMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the recent developments and insights regarding the training of reasoning language models (RLMs), particularly focusing on the release of DeepSeek AI’s flagship reasoning model,…

  • Simon Willison’s Weblog: A professional workflow for translation using LLMs

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/2/workflow-for-translation/#atom-everything Source: Simon Willison’s Weblog Title: A professional workflow for translation using LLMs Feedly Summary: A professional workflow for translation using LLMs Tom Gally is a professional translator who has been exploring the use of LLMs since the release of GPT-4. In this Hacker News comment he shares a detailed workflow for how…

  • Hacker News: Chatbot Software Begins to Face Fundamental Limitations

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    Kurt Seifried
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    Source URL: https://www.quantamagazine.org/chatbot-software-begins-to-face-fundamental-limitations-20250131/ Source: Hacker News Title: Chatbot Software Begins to Face Fundamental Limitations Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text details recent findings on the limitations of large language models (LLMs) in performing compositional reasoning tasks, highlighting inherent restrictions in their architecture that prevent them from effectively solving complex multi-step…

  • Hacker News: RLHF Book

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    Kurt Seifried
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    Source URL: https://rlhfbook.com/ Source: Hacker News Title: RLHF Book Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the concept of Reinforcement Learning from Human Feedback (RLHF), particularly its relevance in the development of machine learning systems, particularly within language models. It highlights the foundational aspects of RLHF while aiming to provide…

  • The Register: Intel has officially missed the boat for AI in the datacenter

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/01/intel_ai_datacenter/ Source: The Register Title: Intel has officially missed the boat for AI in the datacenter Feedly Summary: But it still has a chance at the edge and the PC Comment Any hope Intel may have had of challenging rivals Nvidia and AMD for a slice of the AI accelerator market dissolved on…

  • Hacker News: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way

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    Kurt Seifried
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    Source URL: https://linux-howto.org/running-deepseek-r1-on-your-own-hardware-the-fast-and-easy-way Source: Hacker News Title: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a step-by-step guide to setting up and running the DeepSeek R1 large language model on personal hardware, emphasizing its independence from cloud…