Experimental News Clipping Site

Tag: large language models

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

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    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…

  • Slashdot: FreeBSD Project Isn’t Ready To Let AI Commit Code Just Yet

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    Kurt Seifried
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    Source URL: https://developers.slashdot.org/story/25/09/03/1649201/freebsd-project-isnt-ready-to-let-ai-commit-code-just-yet?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: FreeBSD Project Isn’t Ready To Let AI Commit Code Just Yet Feedly Summary: AI Summary and Description: Yes Summary: The FreeBSD Project’s recent status report reveals a cautious approach towards the use of code generated by LLMs (Large Language Models) due to licensing concerns. They are working on establishing…

  • AWS News Blog: Now Open — AWS Asia Pacific (New Zealand) Region

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/now-open-aws-asia-pacific-new-zealand-region/ Source: AWS News Blog Title: Now Open — AWS Asia Pacific (New Zealand) Region Feedly Summary: AWS has launched its first New Zealand Region with three Availability Zones, marking its 16th Region in Asia Pacific and enabling local data residency for New Zealand organizations. AI Summary and Description: Yes Summary: The text…

  • Cisco Security Blog: Detecting Exposed LLM Servers: A Shodan Case Study on Ollama

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    Kurt Seifried
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    Source URL: https://feedpress.me/link/23535/17131153/detecting-exposed-llm-servers-shodan-case-study-on-ollama Source: Cisco Security Blog Title: Detecting Exposed LLM Servers: A Shodan Case Study on Ollama Feedly Summary: We uncovered 1,100+ exposed Ollama LLM servers—20% with open models—revealing critical security gaps and the need for better LLM threat monitoring. AI Summary and Description: Yes Summary: The text highlights the discovery of over 1,100…

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

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    Kurt Seifried
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    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…

  • Enterprise AI Trends: Using AI to Extract B2B Leads from Unstructured Data

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    Kurt Seifried
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    Source URL: https://nextword.substack.com/p/using-ai-to-extract-b2b-leads-from Source: Enterprise AI Trends Title: Using AI to Extract B2B Leads from Unstructured Data Feedly Summary: With AI, everything can be turned into a data pipeline AI Summary and Description: Yes Summary: The text discusses the application of AI and unstructured data in go-to-market (GTM) strategies, particularly focusing on automating lead generation…

  • The Cloudflare Blog: Cloudy Summarizations of Email Detections: Beta Announcement

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    Kurt Seifried
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    Source URL: https://blog.cloudflare.com/cloudy-driven-email-security-summaries/ Source: The Cloudflare Blog Title: Cloudy Summarizations of Email Detections: Beta Announcement Feedly Summary: We’re now leveraging our internal LLM, Cloudy, to generate automated summaries within our Email Security product, helping SOC teams better understand what’s happening within flagged messages. AI Summary and Description: Yes Summary: The text outlines Cloudflare’s initiative to…

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

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    Kurt Seifried
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    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…