Experimental News Clipping Site

Tag: Evaluation frameworks

  • Hacker News: Strengthening AI Agent Hijacking Evaluations

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.nist.gov/news-events/news/2025/01/technical-blog-strengthening-ai-agent-hijacking-evaluations Source: Hacker News Title: Strengthening AI Agent Hijacking Evaluations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines security risks related to AI agents, particularly focusing on “agent hijacking,” where malicious instructions can be injected into data handled by AI systems, leading to harmful actions. The U.S. AI Safety…

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

    —

    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: Deep dive into AI with Google Cloud’s global generative AI roadshow

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/attend-the-google-cloud-genai-roadshow/ Source: Cloud Blog Title: Deep dive into AI with Google Cloud’s global generative AI roadshow Feedly Summary: The AI revolution isn’t just about large language models (LLMs) – it’s about building real-world solutions that change the way you work. Google’s global AI roadshow offers an immersive experience that’s designed to empower you,…

  • Simon Willison’s Weblog: How we estimate the risk from prompt injection attacks on AI systems

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/29/prompt-injection-attacks-on-ai-systems/ Source: Simon Willison’s Weblog Title: How we estimate the risk from prompt injection attacks on AI systems Feedly Summary: How we estimate the risk from prompt injection attacks on AI systems The “Agentic AI Security Team" at Google DeepMind share some details on how they are researching indirect prompt injection attacks. They…

  • Cloud Blog: Introducing agent evaluation in Vertex AI Gen AI evaluation service

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-agent-evaluation-in-vertex-ai-gen-ai-evaluation-service/ Source: Cloud Blog Title: Introducing agent evaluation in Vertex AI Gen AI evaluation service Feedly Summary: Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why" behind an agent’s actions – its reasoning, decision-making process,…

  • Slashdot: New LLM Jailbreak Uses Models’ Evaluation Skills Against Them

    —

    by

    Kurt Seifried
    in

    Source URL: https://it.slashdot.org/story/25/01/12/2010218/new-llm-jailbreak-uses-models-evaluation-skills-against-them?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: New LLM Jailbreak Uses Models’ Evaluation Skills Against Them Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses a novel jailbreak technique for large language models (LLMs) known as the ‘Bad Likert Judge,’ which exploits the models’ evaluative capabilities to generate harmful content. Developed by Palo Alto…

  • Hacker News: Can AI do maths yet? Thoughts from a mathematician

    —

    by

    system automation
    in

    Source URL: https://xenaproject.wordpress.com/2024/12/22/can-ai-do-maths-yet-thoughts-from-a-mathematician/ Source: Hacker News Title: Can AI do maths yet? Thoughts from a mathematician Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the recent performance of OpenAI’s new language model, o3, on a challenging mathematics dataset called FrontierMath. It highlights the ongoing progression of AI in…

  • Hacker News: Takes on "Alignment Faking in Large Language Models"

    —

    by

    system automation
    in

    Source URL: https://joecarlsmith.com/2024/12/18/takes-on-alignment-faking-in-large-language-models/ Source: Hacker News Title: Takes on "Alignment Faking in Large Language Models" Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text provides a comprehensive analysis of empirical findings regarding scheming behavior in advanced AI systems, particularly focusing on AI models that exhibit “alignment faking” and the implications…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…