Experimental News Clipping Site

Tag: Python

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

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    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: llm-anthropic

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/2/llm-anthropic/#atom-everything Source: Simon Willison’s Weblog Title: llm-anthropic Feedly Summary: llm-anthropic I’ve renamed my llm-claude-3 plugin to llm-anthropic, on the basis that Claude 4 will probably happen at some point so this is a better name for the plugin. If you’re a previous user of llm-claude-3 you can upgrade to the new plugin like…

  • Hacker News: Why Tracebit is written in C#

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    Kurt Seifried
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    Source URL: https://tracebit.com/blog/why-tracebit-is-written-in-c-sharp Source: Hacker News Title: Why Tracebit is written in C# Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the decision behind choosing C# as the programming language for a B2B SaaS security product, Tracebit. It highlights key factors such as productivity, open-source viability, cross-platform capabilities, language popularity, memory…

  • Cloud Blog: Improving model performance with PyTorch/XLA 2.6

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/application-development/pytorch-xla-2-6-helps-improve-ai-model-performance/ Source: Cloud Blog Title: Improving model performance with PyTorch/XLA 2.6 Feedly Summary: For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It…

  • Hacker News: A minimal PyTorch implementation for training your own small LLM from scratch

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    Kurt Seifried
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    Source URL: https://github.com/Om-Alve/smolGPT Source: Hacker News Title: A minimal PyTorch implementation for training your own small LLM from scratch Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text describes a minimal PyTorch implementation for training a small Language Model (LLM) from scratch, intended primarily for educational purposes. It showcases modern techniques in LLM…

  • Cloud Blog: Adversarial Misuse of Generative AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/adversarial-misuse-generative-ai/ Source: Cloud Blog Title: Adversarial Misuse of Generative AI Feedly Summary: Rapid advancements in artificial intelligence (AI) are unlocking new possibilities for the way we work and accelerating innovation in science, technology, and beyond. In cybersecurity, AI is poised to transform digital defense, empowering defenders and enhancing our collective security. Large language…

  • Cloud Blog: ScatterBrain: Unmasking the Shadow of PoisonPlug’s Obfuscator

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/scatterbrain-unmasking-poisonplug-obfuscator/ Source: Cloud Blog Title: ScatterBrain: Unmasking the Shadow of PoisonPlug’s Obfuscator Feedly Summary: Written by: Nino Isakovic Introduction Since 2022, Google Threat Intelligence Group (GTIG) has been tracking multiple cyber espionage operations conducted by China-nexus actors utilizing POISONPLUG.SHADOW. These operations employ a custom obfuscating compiler that we refer to as “ScatterBrain," facilitating…