Experimental News Clipping Site

Tag: UI

  • Schneier on Security: Subverting AIOps Systems Through Poisoned Input Data

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    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/08/subverting-aiops-systems-through-poisoned-input-data.html Source: Schneier on Security Title: Subverting AIOps Systems Through Poisoned Input Data Feedly Summary: In this input integrity attack against an AI system, researchers were able to fool AIOps tools: AIOps refers to the use of LLM-based agents to gather and analyze application telemetry, including system logs, performance metrics, traces, and alerts,…

  • Wired: AI Isn’t Coming for Hollywood. It Has Already Arrived

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/artificial-intelligence-hollywood-stability/ Source: Wired Title: AI Isn’t Coming for Hollywood. It Has Already Arrived Feedly Summary: An early winner in the generative AI wars was near collapse—then bet everything on a star-studded comeback. Can Stability AI beat the competition? AI Summary and Description: Yes Summary: The text discusses Stability AI’s significant challenges and recovery…

  • The Register: Open the pod bay door, GPT-4o

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/20/gpt4o_pod_bay_door/ Source: The Register Title: Open the pod bay door, GPT-4o Feedly Summary: Researchers use LLM in ‘AI Space Cortex’ to automate robotic extraterrestrial exploration Businesses may be struggling to find meaningful ways to use artificial intelligence software, but space scientists at least have a few ideas about how to deploy AI models.……

  • The Register: KPMG wrote 100-page prompt to build agentic TaxBot

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/08/20/kpmg_giant_prompt_tax_agent/ Source: The Register Title: KPMG wrote 100-page prompt to build agentic TaxBot Feedly Summary: Produces advice in a single day instead of two weeks – without job losses The Australian arm of consultancy firm KPMG wrote a 100-page prompt to create an agentic system that prepares tax advice far faster than humans.……

  • AWS News Blog: Best performance and fastest memory with the new Amazon EC2 R8i and R8i-flex instances

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/best-performance-and-fastest-memory-with-the-new-amazon-ec2-r8i-and-r8i-flex-instances/ Source: AWS News Blog Title: Best performance and fastest memory with the new Amazon EC2 R8i and R8i-flex instances Feedly Summary: R8i and R8i-flex instances powered by Intel Xeon processors offer up to 15% better price performance, 20% higher performance, and 2.5 times more memory throughput compared to previous generations. AI Summary…

  • Tomasz Tunguz: When One AI Grades Another’s Work

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/evolution-of-ai-judges-improving-evoblog/ Source: Tomasz Tunguz Title: When One AI Grades Another’s Work Feedly Summary: Since launching EvoBlog internally, I’ve wanted to improve it. One way of doing this is having an LLM judge the best posts rather than a static scoring system. I appointed Gemini 2.5 to be that judge. This post is a…

  • Simon Willison’s Weblog: llama.cpp guide: running gpt-oss with llama.cpp

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/19/gpt-oss-with-llama-cpp/ Source: Simon Willison’s Weblog Title: llama.cpp guide: running gpt-oss with llama.cpp Feedly Summary: llama.cpp guide: running gpt-oss with llama.cpp Really useful official guide to running the OpenAI gpt-oss models using llama-server from llama.cpp – which provides an OpenAI-compatible localhost API and a neat web interface for interacting with the models. TLDR version…

  • Slashdot: Mark Zuckerberg Plans To Shake Up Meta’s AI Efforts, Again

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/08/19/1748256/mark-zuckerberg-plans-to-shake-up-metas-ai-efforts-again?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Mark Zuckerberg Plans To Shake Up Meta’s AI Efforts, Again Feedly Summary: AI Summary and Description: Yes Summary: Meta’s reorganization of its AI division into four specialized areas highlights a significant shift in its approach to AI development, indicating a move towards collaboration with third-party AI models. This shift…