Experimental News Clipping Site

Tag: NPU

  • Slashdot: Microsoft’s Analog Optical Computer Shows AI Promise

    —

    by

    Kurt Seifried
    in

    Source URL: https://hardware.slashdot.org/story/25/09/08/0125250/microsofts-analog-optical-computer-shows-ai-promise?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft’s Analog Optical Computer Shows AI Promise Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a project by Microsoft Research involving an analog optical computer (AOC) designed for AI workloads, significantly enhancing computation speed and energy efficiency compared to traditional GPUs. The initiative offers opportunities for…

  • Cloud Blog: StreamSight: Driving transparency in music royalties with AI-powered forecasting

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/media-entertainment/streamsight-driving-transparency-in-music-royalties-with-ai-powered-forecasting/ Source: Cloud Blog Title: StreamSight: Driving transparency in music royalties with AI-powered forecasting Feedly Summary: In an industry generating vast volumes of streaming data every day, ensuring precision, speed, and transparency in royalty tracking is a constant and evolving priority. For music creators, labels, publishers, and rights holders, even small gaps in…

  • Docker: You are Doing MCP Wrong: 3 Big Misconceptions

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/mcp-misconceptions-tools-agents-not-api/ Source: Docker Title: You are Doing MCP Wrong: 3 Big Misconceptions Feedly Summary: MCP is not an API. Tools are not agents. MCP is more than tools. Here’s what this means in practice. Most developers misread the Model Context Protocol because they map it onto familiar API mental models. That mistake breaks…

  • Simon Willison’s Weblog: Introducing gpt-realtime

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/1/introducing-gpt-realtime/#atom-everything Source: Simon Willison’s Weblog Title: Introducing gpt-realtime Feedly Summary: Introducing gpt-realtime Released a few days ago (August 28th), gpt-realtime is OpenAI’s new “most advanced speech-to-speech model". It looks like this is a replacement for the older gpt-4o-realtime-preview model that was released last October. This is a slightly confusing release. The previous realtime…

  • The Register: LegalPwn: Tricking LLMs by burying badness in lawyerly fine print

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/09/01/legalpwn_ai_jailbreak/ Source: The Register Title: LegalPwn: Tricking LLMs by burying badness in lawyerly fine print Feedly Summary: Trust and believe – AI models trained to see ‘legal’ doc as super legit Researchers at security firm Pangea have discovered yet another way to trivially trick large language models (LLMs) into ignoring their guardrails. Stick…

  • Slashdot: One Long Sentence is All It Takes To Make LLMs Misbehave

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/08/27/1756253/one-long-sentence-is-all-it-takes-to-make-llms-misbehave?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: One Long Sentence is All It Takes To Make LLMs Misbehave Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant security research finding from Palo Alto Networks’ Unit 42 regarding vulnerabilities in large language models (LLMs). The researchers explored methods that allow users to bypass…

  • Simon Willison’s Weblog: Quoting Bruce Schneier

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/27/bruce-schneier/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Bruce Schneier Feedly Summary: We simply don’t know to defend against these attacks. We have zero agentic AI systems that are secure against these attacks. Any AI that is working in an adversarial environment—and by this I mean that it may encounter untrusted training data or…