Tag: Context

  • The Register: Salesforce study finds LLM agents flunk CRM and confidentiality tests

    Source URL: https://www.theregister.com/2025/06/16/salesforce_llm_agents_benchmark/ Source: The Register Title: Salesforce study finds LLM agents flunk CRM and confidentiality tests Feedly Summary: 6-in-10 success rate for single-step tasks A new benchmark developed by academics shows that LLM-based AI agents perform below par on standard CRM tests and fail to understand the need for customer confidentiality.… AI Summary and…

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

    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

    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

    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

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

    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…

  • Simon Willison’s Weblog: llm-fragments-youtube

    Source URL: https://simonwillison.net/2025/Jun/14/llm-fragments-youtube/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-youtube Feedly Summary: llm-fragments-youtube Excellent new LLM plugin by Agustin Bacigalup which lets you use the subtitles of any YouTube video as a fragment for running prompts against. I tried it out like this: llm install llm-fragments-youtube llm -f youtube:dQw4w9WgXcQ \ ‘summary of people and what they…