Experimental News Clipping Site

Tag: system prompts

  • Simon Willison’s Weblog: System Card: Claude Opus 4 & Claude Sonnet 4

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/25/claude-4-system-card/#atom-everything Source: Simon Willison’s Weblog Title: System Card: Claude Opus 4 & Claude Sonnet 4 Feedly Summary: System Card: Claude Opus 4 & Claude Sonnet 4 Direct link to a PDF on Anthropic’s CDN because they don’t appear to have a landing page anywhere for this document. Anthropic’s system cards are always worth…

  • Simon Willison’s Weblog: Building software on top of Large Language Models

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/15/building-on-llms/#atom-everything Source: Simon Willison’s Weblog Title: Building software on top of Large Language Models Feedly Summary: I presented a three hour workshop at PyCon US yesterday titled Building software on top of Large Language Models. The goal of the workshop was to give participants everything they needed to get started writing code that…

  • Simon Willison’s Weblog: A comparison of ChatGPT/GPT-4o’s previous and current system prompts

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/29/chatgpt-sycophancy-prompt/ Source: Simon Willison’s Weblog Title: A comparison of ChatGPT/GPT-4o’s previous and current system prompts Feedly Summary: A comparison of ChatGPT/GPT-4o’s previous and current system prompts GPT-4o’s recent update caused it to be way too sycophantic and disingenuously praise anything the user said. OpenAI’s Aidan McLaughlin: last night we rolled out our first…

  • Hacker News: Prompting Large Language Models in Bash Scripts

    —

    by

    Kurt Seifried
    in

    Source URL: https://elijahpotter.dev/articles/prompting_large_language_models_in_bash_scripts Source: Hacker News Title: Prompting Large Language Models in Bash Scripts Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the use of large language models (LLMs) in bash scripts, specifically highlighting a tool called “ofc” that facilitates this integration. It explores innovative uses for LLMs in generating datasets…

  • Hacker News: AI Is Stifling Tech Adoption

    —

    by

    Kurt Seifried
    in

    Source URL: https://vale.rocks/posts/ai-is-stifling-tech-adoption Source: Hacker News Title: AI Is Stifling Tech Adoption Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how the integration of AI models in software development workflows has impacted technology adoption. It highlights a bias towards certain technologies due to the cut-off dates of training data and the…

  • Simon Willison’s Weblog: OpenAI reasoning models: Advice on prompting

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/2/openai-reasoning-models-advice-on-prompting/ Source: Simon Willison’s Weblog Title: OpenAI reasoning models: Advice on prompting Feedly Summary: OpenAI reasoning models: Advice on prompting OpenAI’s documentation for their o1 and o3 “reasoning models" includes some interesting tips on how to best prompt them: Developer messages are the new system messages: Starting with o1-2024-12-17, reasoning models support developer…

  • Simon Willison’s Weblog: Quoting Paul Gauthier

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/26/paul-gauthier/ Source: Simon Willison’s Weblog Title: Quoting Paul Gauthier Feedly Summary: In my experience with AI coding, very large context windows aren’t useful in practice. Every model seems to get confused when you feed them more than ~25-30k tokens. The models stop obeying their system prompts, can’t correctly find/transcribe pieces of code in…