Experimental News Clipping Site

Tag: model outputs

  • 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…

  • Hacker News: Andrew Ng on DeepSeek

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    Kurt Seifried
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    Source URL: https://www.deeplearning.ai/the-batch/issue-286/ Source: Hacker News Title: Andrew Ng on DeepSeek Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines significant advancements and trends in the field of generative AI, particularly emphasizing China’s emergence as a competitor to the U.S. in this domain, the implications of open weight models, and the innovative…

  • The Register: Microsoft eggheads say AI can never be made secure – after testing Redmond’s own products

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/17/microsoft_ai_redteam_infosec_warning/ Source: The Register Title: Microsoft eggheads say AI can never be made secure – after testing Redmond’s own products Feedly Summary: If you want a picture of the future, imagine your infosec team stamping on software forever Microsoft brainiacs who probed the security of more than 100 of the software giant’s own…