Experimental News Clipping Site

Tag: model outputs

  • Hacker News: Model pickers are a UX failure

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    Kurt Seifried
    in

    Source URL: https://www.augmentcode.com/blog/ai-model-pickers-are-a-design-failure-not-a-feature Source: Hacker News Title: Model pickers are a UX failure Feedly Summary: Comments AI Summary and Description: Yes Summary: The text critiques the user experience of AI coding assistants that require developers to choose between multiple models. It argues that such model pickers detract from productivity by imposing unnecessary decision-making burdens on…

  • Cloud Blog: Evaluate gen AI models with Vertex AI evaluation service and LLM comparator

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/evaluate-ai-models-with-vertex-ai–llm-comparator/ Source: Cloud Blog Title: Evaluate gen AI models with Vertex AI evaluation service and LLM comparator Feedly Summary: It’s a persistent question: How do you know which generative AI model is the best choice for your needs? It all comes down to smart evaluation. In this post, we’ll share how to perform…

  • Hacker News: AI is blurring the line between PMs and Engineers

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    Kurt Seifried
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    Source URL: https://humanloop.com/blog/ai-is-blurring-the-lines-between-pms-and-engineers Source: Hacker News Title: AI is blurring the line between PMs and Engineers Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the emerging trend of prompt engineering in AI applications, emphasizing how it increasingly involves product managers (PMs) rather than just software engineers. This shift indicates a blurring…

  • CSA: How Can Businesses Manage Generative AI Risks?

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/02/20/the-explosive-growth-of-generative-ai-security-and-compliance-considerations Source: CSA Title: How Can Businesses Manage Generative AI Risks? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the rapid advancement of generative AI and the associated governance, risk, and compliance challenges that businesses face. It highlights the unique risks of AI-generated images, coding copilots, and chatbots, offering strategies…

  • Cloud Blog: Enhance Gemini model security with content filters and system instructions

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/enhance-gemini-model-security-with-content-filters-and-system-instructions/ Source: Cloud Blog Title: Enhance Gemini model security with content filters and system instructions Feedly Summary: As organizations rush to adopt generative AI-driven chatbots and agents, it’s important to reduce the risk of exposure to threat actors who force AI models to create harmful content.   We want to highlight two powerful capabilities…

  • The GenAI Bug Bounty Program | 0din.ai: Poison in the Pipeline: Liberating models with Basilisk Venom

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    Kurt Seifried
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    Source URL: https://0din.ai/blog/poison-in-the-pipeline-liberating-models-with-basilisk-venom Source: The GenAI Bug Bounty Program | 0din.ai Title: Poison in the Pipeline: Liberating models with Basilisk Venom Feedly Summary: AI Summary and Description: Yes Summary: The provided text highlights a significant incident of data poisoning in generative AI models, emphasizing the long-term implications of malicious data insertion and its potential impact…

  • Simon Willison’s Weblog: S1: The $6 R1 Competitor?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/5/s1-the-6-r1-competitor/ Source: Simon Willison’s Weblog Title: S1: The $6 R1 Competitor? Feedly Summary: S1: The $6 R1 Competitor? Tim Kellogg shares his notes on a new paper, s1: Simple test-time scaling, which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 – the cost for 26 minutes on 16 NVIDIA…

  • Simon Willison’s Weblog: Constitutional Classifiers: Defending against universal jailbreaks

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/3/constitutional-classifiers/ Source: Simon Willison’s Weblog Title: Constitutional Classifiers: Defending against universal jailbreaks Feedly Summary: Constitutional Classifiers: Defending against universal jailbreaks Interesting new research from Anthropic, resulting in the paper Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. From the paper: In particular, we introduce Constitutional Classifiers, a framework…

  • Hacker News: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output

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    Kurt Seifried
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    Source URL: https://github.com/klara-research/klarity Source: Hacker News Title: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Klarity is a robust tool designed for analyzing uncertainty in generative model predictions. By leveraging both raw probability and semantic comprehension, it provides unique insights into model…