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Tag: first

  • Simon Willison’s Weblog: The lethal trifecta for AI agents: private data, untrusted content, and external communication

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/#atom-everything Source: Simon Willison’s Weblog Title: The lethal trifecta for AI agents: private data, untrusted content, and external communication Feedly Summary: If you are a user of LLM systems that use tools (you can call them “AI agents" if you like) it is critically important that you understand the risk of combining tools…

  • CSA: Automated SaaS Security That Scales

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    Kurt Seifried
    in

    Source URL: https://www.valencesecurity.com/resources/blogs/why-your-saas-security-strategy-needs-automated-remediation Source: CSA Title: Automated SaaS Security That Scales Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the vulnerabilities associated with SaaS environments and emphasizes the need for automated remediation workflows to enhance SaaS security. It highlights the challenges of manual remediation due to the decentralized nature of SaaS management…

  • Slashdot: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/06/15/2230206/metas-llama-31-can-recall-42-of-the-first-harry-potter-book?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book Feedly Summary: AI Summary and Description: Yes Summary: The text discusses significant findings from a research study that highlights the memorization capabilities of Llama 3.1 70B, an AI model from Meta. It raises concerns about potential legal…

  • Simon Willison’s Weblog: Anthropic: How we built our multi-agent research system

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/14/multi-agent-research-system/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic: How we built our multi-agent research system Feedly Summary: Anthropic: How we built our multi-agent research system OK, I’m sold on multi-agent LLM systems now. I’ve been pretty skeptical of these until recently: why make your life more complicated by running multiple different prompts in parallel…

  • Slashdot: Increased Traffic from Web-Scraping AI Bots is Hard to Monetize

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    Kurt Seifried
    in

    Source URL: https://news.slashdot.org/story/25/06/14/021246/increased-traffic-from-web-scraping-ai-bots-is-hard-to-monetize Source: Slashdot Title: Increased Traffic from Web-Scraping AI Bots is Hard to Monetize Feedly Summary: AI Summary and Description: Yes Summary: The report discusses the rising prevalence of AI tools like ChatGPT replacing traditional search engines, with a significant increase in traffic from retrieval bots. It highlights the challenges and opportunities for…

  • Slashdot: Arc Browser’s Maker Releases First Beta of Its New AI-Powered Browser ‘Dia’

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/06/14/0634217/arc-browsers-maker-releases-first-beta-of-its-new-ai-powered-browser-dia?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Arc Browser’s Maker Releases First Beta of Its New AI-Powered Browser ‘Dia’ Feedly Summary: AI Summary and Description: Yes Summary: The Browser Company has launched a new AI-powered web browser named Arc, featuring an integrated AI chatbot that enhances user interaction by automating web searches and summarizing content. This…

  • Cloud Blog: How good is your AI? Gen AI evaluation at every stage, explained

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-evaluate-your-gen-ai-at-every-stage/ Source: Cloud Blog Title: How good is your AI? Gen AI evaluation at every stage, explained Feedly Summary: As AI moves from promising experiments to landing core business impact, the most critical question is no longer “What can it do?" but "How well does it do it?".  Ensuring the quality, reliability, and…

  • Unit 42: Serverless Tokens in the Cloud: Exploitation and Detections

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    Kurt Seifried
    in

    Source URL: https://unit42.paloaltonetworks.com/serverless-authentication-cloud/ Source: Unit 42 Title: Serverless Tokens in the Cloud: Exploitation and Detections Feedly Summary: Understand the mechanics of serverless authentication: three simulated attacks across major CSPs offer effective approaches for application developers. The post Serverless Tokens in the Cloud: Exploitation and Detections appeared first on Unit 42. AI Summary and Description: Yes…