Experimental News Clipping Site

Tag: consistency

  • Schneier on Security: AI Will Write Complex Laws

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    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/01/ai-will-write-complex-laws.html Source: Schneier on Security Title: AI Will Write Complex Laws Feedly Summary: Artificial intelligence (AI) is writing law today. This has required no changes in legislative procedure or the rules of legislative bodies—all it takes is one legislator, or legislative assistant, to use generative AI in the process of drafting a bill.…

  • Schneier on Security: AI Mistakes Are Very Different from Human Mistakes

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    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html Source: Schneier on Security Title: AI Mistakes Are Very Different from Human Mistakes Feedly Summary: Humans make mistakes all the time. All of us do, every day, in tasks both new and routine. Some of our mistakes are minor and some are catastrophic. Mistakes can break trust with our friends, lose the…

  • Hacker News: Thoughts on a Month with Devin

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    Kurt Seifried
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    Source URL: https://www.answer.ai/posts/2025-01-08-devin.html Source: Hacker News Title: Thoughts on a Month with Devin Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth analysis of an AI-driven programming assistant named Devin, highlighting both its potential and failures in software development tasks. The initial successes in API interactions and documentation are contrasted…

  • Chip Huyen: Common pitfalls when building generative AI applications

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    Kurt Seifried
    in

    Source URL: https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Source: Chip Huyen Title: Common pitfalls when building generative AI applications Feedly Summary: As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case…

  • Hacker News: Show HN: Value likelihoods for OpenAI structured output

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    Kurt Seifried
    in

    Source URL: https://arena-ai.github.io/structured-logprobs/ Source: Hacker News Title: Show HN: Value likelihoods for OpenAI structured output Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the open-source Python library “structured-logprobs,” which enhances the understanding and reliability of outputs from OpenAI’s Language Learning Models (LLM) by providing detailed log probability information. This offers valuable…

  • Cloud Blog: Trading in the Cloud: Lessons from Deutsche Börse Group’s cloud-native trading engine

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/financial-services/lessons-from-deutsche-borse-groups-cloud-native-trading-engine/ Source: Cloud Blog Title: Trading in the Cloud: Lessons from Deutsche Börse Group’s cloud-native trading engine Feedly Summary: Earlier this year, Deutsche Börse Group began developing a new cloud-native, purpose-built trading platform. It was built with a focus on digital assets, such as stablecoins, cryptocurrencies, and other tokenized assets. However, the new…

  • Hacker News: Right to Root Access

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    Kurt Seifried
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    Source URL: https://medhir.com/blog/right-to-root-access Source: Hacker News Title: Right to Root Access Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the need for consumer rights regarding root access and software installation on owned devices, arguing that current restrictions by manufacturers limit consumer control and choice. It emphasizes the implications for sustainability, free…

  • Cloud Blog: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-vertex-ai-rag-engine/ Source: Cloud Blog Title: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence Feedly Summary: Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…