Experimental News Clipping Site

Tag: Large Language Model (LLM)

  • Wired: Sam Altman Says the GPT-5 Haters Got It All Wrong

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/sam-altman-says-the-gpt-5-haters-got-it-all-wrong/ Source: Wired Title: Sam Altman Says the GPT-5 Haters Got It All Wrong Feedly Summary: OpenAI’s CEO explains that its large language model has been misunderstood—and that he’s changed his attitude to AGI. AI Summary and Description: Yes Summary: The text discusses OpenAI’s CEO addressing misconceptions surrounding the company’s large language model…

  • Docker: Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/evaluate-models-and-mcp-with-promptfoo-docker/ Source: Docker Title: Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo Feedly Summary: Promptfoo is an open-source CLI and library for evaluating LLM apps. Docker Model Runner makes it easy to manage, run, and deploy AI models using Docker. The Docker MCP Toolkit is a local gateway that…

  • Microsoft Security Blog: AI vs. AI: Detecting an AI-obfuscated phishing campaign

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    Kurt Seifried
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    Source URL: https://www.microsoft.com/en-us/security/blog/2025/09/24/ai-vs-ai-detecting-an-ai-obfuscated-phishing-campaign/ Source: Microsoft Security Blog Title: AI vs. AI: Detecting an AI-obfuscated phishing campaign Feedly Summary: Microsoft Threat Intelligence recently detected and blocked a credential phishing campaign that likely used AI-generated code to obfuscate its payload and evade traditional defenses, demonstrating a broader trend of attackers leveraging AI to increase the effectiveness of…

  • Simon Willison’s Weblog: Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/23/qwen3-vl/ Source: Simon Willison’s Weblog Title: Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action Feedly Summary: Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action I’ve been looking forward to this. Qwen 2.5 VL is one of the best available open weight vision LLMs, so I had high hopes for Qwen 3’s vision models. Firstly, we…

  • Schneier on Security: Time-of-Check Time-of-Use Attacks Against LLMs

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/09/time-of-check-time-of-use-attacks-against-llms.html Source: Schneier on Security Title: Time-of-Check Time-of-Use Attacks Against LLMs Feedly Summary: This is a nice piece of research: “Mind the Gap: Time-of-Check to Time-of-Use Vulnerabilities in LLM-Enabled Agents“.: Abstract: Large Language Model (LLM)-enabled agents are rapidly emerging across a wide range of applications, but their deployment introduces vulnerabilities with security implications.…

  • Simon Willison’s Weblog: Defeating Nondeterminism in LLM Inference

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/11/defeating-nondeterminism/#atom-everything Source: Simon Willison’s Weblog Title: Defeating Nondeterminism in LLM Inference Feedly Summary: Defeating Nondeterminism in LLM Inference A very common question I see about LLMs concerns why they can’t be made to deliver the same response to the same prompt by setting a fixed random number seed. Like many others I had…

  • Wired: Psychological Tricks Can Get AI to Break the Rules

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    Kurt Seifried
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    Source URL: https://arstechnica.com/science/2025/09/these-psychological-tricks-can-get-llms-to-respond-to-forbidden-prompts/ Source: Wired Title: Psychological Tricks Can Get AI to Break the Rules Feedly Summary: Researchers convinced large language model chatbots to comply with “forbidden” requests using a variety of conversational tactics. AI Summary and Description: Yes Summary: The text discusses researchers’ exploration of conversational tactics used to manipulate large language model (LLM)…

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

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    Kurt Seifried
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    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…