Tag: engineering

  • Simon Willison’s Weblog: Can LLMs write better code if you keep asking them to “write better code”?

    Source URL: https://simonwillison.net/2025/Jan/3/asking-them-to-write-better-code/ Source: Simon Willison’s Weblog Title: Can LLMs write better code if you keep asking them to “write better code”? Feedly Summary: Can LLMs write better code if you keep asking them to “write better code”? Really fun exploration by Max Woolf, who started with a prompt requesting a medium-complexity Python challenge –…

  • Hacker News: The Evolution of SRE at Google

    Source URL: https://www.usenix.org/publications/loginonline/evolution-sre-google Source: Hacker News Title: The Evolution of SRE at Google Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution of Site Reliability Engineering (SRE) at Google, emphasizing the challenges posed by increasing system complexity and the need for a paradigm shift in how reliability is approached. It…

  • Hacker News: Can LLMs write better code if you keep asking them to "write better code"?

    Source URL: https://minimaxir.com/2025/01/write-better-code/ Source: Hacker News Title: Can LLMs write better code if you keep asking them to "write better code"? Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text presents an extensive exploration of using large language models (LLMs), specifically Claude 3.5 Sonnet, for code optimization. It discusses various…

  • Hacker News: Notes on the New Deepseek v3

    Source URL: https://composio.dev/blog/notes-on-new-deepseek-v3/ Source: Hacker News Title: Notes on the New Deepseek v3 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of Deepseek’s v3 model, a 607B mixture-of-experts model that showcases exceptional performance, surpassing both open-source and proprietary competitors at a significantly lower training cost. It highlights the engineering…

  • Hacker News: Cloud Efficiency at Netflix

    Source URL: https://netflixtechblog.com/cloud-efficiency-at-netflix-f2a142955f83 Source: Hacker News Title: Cloud Efficiency at Netflix Feedly Summary: Comments AI Summary and Description: Yes Short Summary: The text discusses Netflix’s utilization of Amazon Web Services (AWS) to enhance cloud efficiency through a two-component data solution, Foundational Platform Data (FPD) and Cloud Efficiency Analytics (CEA). This approach aims to provide clear…

  • Hacker News: Privacy of Photos.app’s Enhanced Visual Search

    Source URL: https://mjtsai.com/blog/2025/01/01/privacy-of-photos-apps-enhanced-visual-search/ Source: Hacker News Title: Privacy of Photos.app’s Enhanced Visual Search Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights privacy concerns surrounding Apple’s Enhanced Visual Search feature, which enables photo searching using landmarks but automatically uploads photo data to Apple’s servers. Critics argue that the lack of clear communication…

  • Hacker News: Identifying and Manipulating LLM Personality Traits via Activation Engineering

    Source URL: https://arxiv.org/abs/2412.10427 Source: Hacker News Title: Identifying and Manipulating LLM Personality Traits via Activation Engineering Feedly Summary: Comments AI Summary and Description: Yes Summary: The research paper discusses a novel method called “activation engineering” for identifying and adjusting personality traits in large language models (LLMs). This exploration not only contributes to the interpretability of…

  • Simon Willison’s Weblog: Quoting Alexis Gallagher

    Source URL: https://simonwillison.net/2024/Dec/31/alexis-gallagher/ Source: Simon Willison’s Weblog Title: Quoting Alexis Gallagher Feedly Summary: Basically, a frontier model like OpenAI’s O1 is like a Ferrari SF-23. It’s an obvious triumph of engineering, designed to win races, and that’s why we talk about it. But it takes a special pit crew just to change the tires and…

  • Hacker News: Empirical Study of Test Generation with LLM’s

    Source URL: https://arxiv.org/abs/2406.18181 Source: Hacker News Title: Empirical Study of Test Generation with LLM’s Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper evaluates the use of Large Language Models (LLMs) for automating unit test generation in software development, focusing on open-source models. It emphasizes the importance of prompt engineering and the advantages…