Experimental News Clipping Site

Tag: research papers

  • Hacker News: AI tools are spotting errors in research papers: inside a growing movement

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    Kurt Seifried
    in

    Source URL: https://www.nature.com/articles/d41586-025-00648-5 Source: Hacker News Title: AI tools are spotting errors in research papers: inside a growing movement Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses two AI projects, the Black Spatula Project and YesNoError, which utilize large language models to detect errors in scientific research papers. These tools aim…

  • Hacker News: Mistral OCR

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    Kurt Seifried
    in

    Source URL: https://mistral.ai/news/mistral-ocr Source: Hacker News Title: Mistral OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text details the introduction of Mistral OCR, a new Optical Character Recognition API that significantly enhances document understanding capabilities by accurately extracting content from complex documents. This technology presents valuable applications for various fields and…

  • Simon Willison’s Weblog: Introducing Perplexity Deep Research

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/16/introducing-perplexity-deep-research/#atom-everything Source: Simon Willison’s Weblog Title: Introducing Perplexity Deep Research Feedly Summary: Introducing Perplexity Deep Research Perplexity become the third company to release a product with “Deep Research" in the name. Google’s Gemini Deep Research: Try Deep Research and our new experimental model in Gemini, your AI assistant on December 11th 2024 OpenAI’s…

  • Hacker News: Multi-head latent attention (DeepSeek) and other KV cache tricks explained

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    Kurt Seifried
    in

    Source URL: https://www.pyspur.dev/blog/multi-head-latent-attention-kv-cache-paper-list Source: Hacker News Title: Multi-head latent attention (DeepSeek) and other KV cache tricks explained Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advanced techniques in Key-Value (KV) caching that enhance the efficiency of language models like ChatGPT during text generation. It highlights how these optimizations can significantly reduce…

  • Simon Willison’s Weblog: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/#atom-everything Source: Simon Willison’s Weblog Title: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends Feedly Summary: The Oxide and Friends podcast has an annual tradition of asking guests to share their predictions for the next 1, 3 and 6 years. Here’s 2022, 2023 and 2024. This…

  • Hacker News: Breaking NATO Radio Encryption [video]

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    system automation
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    Source URL: https://media.ccc.de/v/38c3-breaking-nato-radio-encryption Source: Hacker News Title: Breaking NATO Radio Encryption Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses significant vulnerabilities in the HALFLOOP-24 encryption algorithm utilized by the US military and NATO for high-frequency radio communication. It reveals that the encryption can be compromised within two hours of intercepted traffic…

  • Hacker News: Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG

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    system automation
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    Source URL: https://news.ycombinator.com/item?id=42504661 Source: Hacker News Title: Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a project that allows users to create an AI-powered chatbot for document analysis using a Retrieval Augmented Generation (RAG) framework. This is particularly relevant for…

  • Cloud Blog: Build agentic RAG on Google Cloud databases with LlamaIndex

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    system automation
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    Source URL: https://cloud.google.com/blog/products/databases/llamaindex-integrates-with-alloydb-and-cloud-sql-for-postgresql/ Source: Cloud Blog Title: Build agentic RAG on Google Cloud databases with LlamaIndex Feedly Summary: AI agents are revolutionizing the landscape of gen AI application development. Retrieval augmented generation (RAG) has significantly enhanced the capabilities of large language models (LLMs), enabling them to access and leverage external data sources such as databases.…