Tag: out

  • 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…

  • Slashdot: Site for ‘Accelerating’ AI Use Across the US Government Accidentally Leaked on GitHub

    Source URL: https://news.slashdot.org/story/25/06/15/0323209/site-for-accelerating-ai-use-across-the-us-government-accidentally-leaked-on-github?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Site for ‘Accelerating’ AI Use Across the US Government Accidentally Leaked on GitHub Feedly Summary: AI Summary and Description: Yes Summary: The U.S. federal government is developing the AI.gov website and API to enhance government operations with artificial intelligence, aiming to deploy AI tools across agencies. This initiative reflects…