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Tag: real

  • Simon Willison’s Weblog: LLM 0.22, the annotated release notes

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/17/llm/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.22, the annotated release notes Feedly Summary: I released LLM 0.22 this evening. Here are the annotated release notes: model.prompt(…, key=) for API keys chatgpt-4o-latest llm logs -s/–short llm models -q gemini -q exp llm embed-multi –prepend X Everything else model.prompt(…, key=) for API keys Plugins…

  • Hacker News: MySQL at Uber

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    Kurt Seifried
    in

    Source URL: https://www.uber.com/blog/mysql-at-uber/?uclick_id=8d2a6f71-8db1-4c60-b724-fc9bd70cd9fd Source: Hacker News Title: MySQL at Uber Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines Uber’s innovative MySQL control plane architecture, aimed at optimizing database management across a vast fleet of over 2,300 clusters. The improvements focus on achieving higher availability (99.99%) and managing critical processes like primary…

  • The Register: This open text-to-speech model needs just seconds of audio to clone your voice

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/02/16/ai_voice_clone/ Source: The Register Title: This open text-to-speech model needs just seconds of audio to clone your voice Feedly Summary: El Reg shows you how to run Zypher’s speech-replicating AI on your own box Hands on Palo Alto-based AI startup Zyphra unveiled a pair of open text-to-speech (TTS) models this week said to…

  • Hacker News: Tea Extensions [pdf] (2006)

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    Kurt Seifried
    in

    Source URL: https://tayloredge.com/reference/Mathematics/TEA-XTEA.pdf Source: Hacker News Title: Tea Extensions [pdf] (2006) Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses the Tiny Encryption Algorithm (TEA), describing its characteristics, efficiency, and practical implementations in various programming languages. As a lightweight and open-source encryption technique, TEA is notable for its simplicity and speed,…

  • Hacker News: Will AI take web developer jobs?

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    Kurt Seifried
    in

    Source URL: https://www.alpower.com/blog/2025-02-13-will-ai-take-web-developer-jobs/ Source: Hacker News Title: Will AI take web developer jobs? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the impact of Artificial Intelligence (A.I.) on the web development industry, arguing that while A.I. tools will enhance the work of developers, they are unlikely to fully replace them. The…

  • Simon Willison’s Weblog: Run LLMs on macOS using llm-mlx and Apple’s MLX framework

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/15/llm-mlx/#atom-everything Source: Simon Willison’s Weblog Title: Run LLMs on macOS using llm-mlx and Apple’s MLX framework Feedly Summary: llm-mlx is a brand new plugin for my LLM Python Library and CLI utility which builds on top of Apple’s excellent MLX array framework library and mlx-lm package. If you’re a terminal user or Python…

  • The Register: Nearly 10 years after Data and Goliath, Bruce Schneier says: Privacy’s still screwed

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/02/15/interview_bruce_schneier/ Source: The Register Title: Nearly 10 years after Data and Goliath, Bruce Schneier says: Privacy’s still screwed Feedly Summary: ‘In 50 years, I think we’ll view these business practices like we view sweatshops today’ Interview It has been nearly a decade since famed cryptographer and privacy expert Bruce Schneier released the book…

  • Hacker News: AI Mistakes Are Different from Human Mistakes

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html Source: Hacker News Title: AI Mistakes Are Different from Human Mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the unique nature of mistakes made by AI, particularly large language models (LLMs), contrasting them with human errors. It emphasizes the need for new security systems that address AI’s…