Experimental News Clipping Site

Tag: Cursor

  • Hacker News: Did Semgrep Just Get a Lot More Interesting?

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    Kurt Seifried
    in

    Source URL: https://fly.io/blog/semgrep-but-for-real-now/ Source: Hacker News Title: Did Semgrep Just Get a Lot More Interesting? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evolving role of LLM-driven development tools like Cursor in code generation and security, particularly in leveraging Semgrep for vulnerability detection. It highlights the potential for closed-loop LLM…

  • Irrational Exuberance: Our own agents with their own tools.

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    Kurt Seifried
    in

    Source URL: https://lethain.com/our-own-agents-our-own-tools/ Source: Irrational Exuberance Title: Our own agents with their own tools. Feedly Summary: Entering 2025, I decided to spend some time exploring the topic of agents. I started reading Anthropic’s Building effective agents, followed by Chip Huyen’s AI Engineering. I kicked off a major workstream at work on using agents, and I…

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

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    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…

  • Hacker News: The Illustrated DeepSeek-R1

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    Kurt Seifried
    in

    Source URL: https://newsletter.languagemodels.co/p/the-illustrated-deepseek-r1 Source: Hacker News Title: The Illustrated DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of DeepSeek-R1, an advanced model in the machine learning and AI domain, highlighting its novel training approach, especially in reasoning tasks. This model presents significant insights into the evolving capabilities of…

  • Hacker News: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL

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    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2501.12948 Source: Hacker News Title: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of new language models, DeepSeek-R1 and DeepSeek-R1-Zero, developed to enhance reasoning capabilities in large language models (LLMs) through reinforcement learning. This research represents a significant advancement…

  • Hacker News: Llama.vim – Local LLM-assisted text completion

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    by

    Kurt Seifried
    in

    Source URL: https://github.com/ggml-org/llama.vim Source: Hacker News Title: Llama.vim – Local LLM-assisted text completion Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes a local LLM-assisted text completion plugin named llama.vim designed for use within the Vim text editor. It provides features such as smart context reuse, performance statistics, and configurations based on…