Experimental News Clipping Site

Tag: Claude 3.5

  • Hacker News: AI agents may soon surpass people as primary application users

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.zdnet.com/article/ai-agents-may-soon-surpass-people-as-primary-application-users/ Source: Hacker News Title: AI agents may soon surpass people as primary application users Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines predictions by Accenture regarding the rise of AI agents as primary users of enterprise systems and discusses the implications of this shift, including the need for…

  • Simon Willison’s Weblog: Codestral 25.01

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/13/codestral-2501/ Source: Simon Willison’s Weblog Title: Codestral 25.01 Feedly Summary: Codestral 25.01 Brand new code-focused model from Mistral. Unlike the first Codestral this one isn’t (yet) available as open weights. The model has a 256k token context – a new record for Mistral. The new model scored an impressive joint first place with…

  • Hacker News: Human study on AI spear phishing campaigns

    —

    by

    system automation
    in

    Source URL: https://www.lesswrong.com/posts/GCHyDKfPXa5qsG2cP/human-study-on-ai-spear-phishing-campaigns Source: Hacker News Title: Human study on AI spear phishing campaigns Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a study evaluating the effectiveness of AI models in executing personalized phishing attacks, revealing a disturbing increase in the capabilities of AI-generated spear phishing. The findings indicate high click-through…

  • Simon Willison’s Weblog: What we learned copying all the best code assistants

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2025/Jan/4/what-we-learned-copying-all-the-best-code-assistants/ Source: Simon Willison’s Weblog Title: What we learned copying all the best code assistants Feedly Summary: What we learned copying all the best code assistants Steve Krouse describes Val Town’s experience so far building features that use LLMs, starting with completions (powered by Codeium and Val Town’s own codemirror-codeium extension) and then…

  • Hacker News: What we learned copying all the best code assistants

    —

    by

    system automation
    in

    Source URL: https://blog.val.town/blog/fast-follow/ Source: Hacker News Title: What we learned copying all the best code assistants Feedly Summary: Comments AI Summary and Description: Yes Summary: This text provides a historical overview of Val Town’s journey in developing LLM-driven code generation tools, highlighting innovations and challenges faced in the evolving landscape of AI-powered coding assistants. It…

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

    —

    by

    system automation
    in

    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

    —

    by

    system automation
    in

    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…

  • Simon Willison’s Weblog: Things we learned out about LLMs in 2024

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/#atom-everything Source: Simon Willison’s Weblog Title: Things we learned out about LLMs in 2024 Feedly Summary: A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying…

  • Simon Willison’s Weblog: DeepSeek_V3.pdf

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/26/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek_V3.pdf Feedly Summary: DeepSeek_V3.pdf The DeepSeek v3 paper (and model card) are out, after yesterday’s mysterious release of the undocumented model weights. Plenty of interesting details in here. The model pre-trained on 14.8 trillion “high-quality and diverse tokens" (not otherwise documented). Following this, we conduct post-training, including…

  • Slashdot: Microsoft Integrates a Free Version of Its ‘Copilot’ Coding AI Into GitHub, VS Code

    —

    by

    system automation
    in

    Source URL: https://developers.slashdot.org/story/24/12/21/0443255/microsoft-integrates-a-free-version-of-its-copilot-coding-ai-into-github-vs-code?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Integrates a Free Version of Its ‘Copilot’ Coding AI Into GitHub, VS Code Feedly Summary: AI Summary and Description: Yes Summary: GitHub has launched a free version of its Copilot AI coding assistant tool, now included by default in VS Code, aiming to remove barriers for developers and…