Experimental News Clipping Site

Tag: Py

  • Hacker News: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition

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    Kurt Seifried
    in

    Source URL: https://sakana.ai/ai-cuda-engineer/ Source: Hacker News Title: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses significant advancements made by Sakana AI in automating the creation and optimization of AI models, particularly through the development of The AI CUDA Engineer, which leverages…

  • Hacker News: Python’s official documentation contains textbook example of insecure code (XSS)

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    Kurt Seifried
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    Source URL: https://seclists.org/fulldisclosure/2025/Feb/15 Source: Hacker News Title: Python’s official documentation contains textbook example of insecure code (XSS) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights a critical security issue within Python’s documentation related to Cross-Site Scripting (XSS) vulnerabilities stemming from examples in the CGI module. This poses significant risks for web…

  • Hacker News: Agents for Computer Use

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    Kurt Seifried
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    Source URL: https://github.com/francedot/acu Source: Hacker News Title: Agents for Computer Use Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses AI agents designed for computer use, highlighting their autonomous capabilities to interact with digital interfaces. It presents several resources and tools for developing and utilizing these AI agents, which can be significant…

  • Wired: $1.4 Billion Stolen From ByBit in Biggest Crypto Theft Ever

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    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/1-4-billion-stolen-from-bybit-in-biggest-crypto-theft-ever/ Source: Wired Title: $1.4 Billion Stolen From ByBit in Biggest Crypto Theft Ever Feedly Summary: Plus: Apple turns off end-to-end encrypted iCloud backups in the UK after pressure to install a backdoor, and two spyware apps expose victim data—and the identities of people who installed the apps. AI Summary and Description: Yes…

  • Simon Willison’s Weblog: My LLM codegen workflow atm

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/21/my-llm-codegen-workflow-atm/#atom-everything Source: Simon Willison’s Weblog Title: My LLM codegen workflow atm Feedly Summary: My LLM codegen workflow atm Harper Reed describes his workflow for writing code with the assistance of LLMs. This is clearly a very well-thought out process, which has evolved a lot already and continues to change. Harper starts greenfield projects…

  • Hacker News: SWE-Bench tainted by answer leakage; real pass rates significantly lower

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2410.06992 Source: Hacker News Title: SWE-Bench tainted by answer leakage; real pass rates significantly lower Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper “SWE-Bench+: Enhanced Coding Benchmark for LLMs” addresses significant data quality issues in the evaluation of Large Language Models (LLMs) for coding tasks. It presents empirical analysis revealing…

  • Hacker News: DeepDive in everything of Llama3: revealing detailed insights and implementation

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    Kurt Seifried
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    Source URL: https://github.com/therealoliver/Deepdive-llama3-from-scratch Source: Hacker News Title: DeepDive in everything of Llama3: revealing detailed insights and implementation Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text details an in-depth exploration of implementing the Llama3 model from the ground up, focusing on structural optimizations, attention mechanisms, and how updates to model architecture enhance understanding…

  • Cloud Blog: Optimizing image generation pipelines on Google Cloud: A practical guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/guide-to-optimizing-image-generation-pipelines/ Source: Cloud Blog Title: Optimizing image generation pipelines on Google Cloud: A practical guide Feedly Summary: Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with…