Experimental News Clipping Site

Tag: CRM

  • Tomasz Tunguz: Small Action Models Are the Future of AI Agents

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/local-instructions/ Source: Tomasz Tunguz Title: Small Action Models Are the Future of AI Agents Feedly Summary: 2025 is the year of agents, & the key capability of agents is calling tools. When using Claude Code, I can tell the AI to sift through a newsletter, find all the links to startups, verify they…

  • Tomasz Tunguz: Hidden Technical Debt in AI

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    by

    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…

  • CSA: Copilot Studio: AIjacking Leads to Data Exfiltration

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    by

    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/a-copilot-studio-story-2-when-aijacking-leads-to-full-data-exfiltration Source: CSA Title: Copilot Studio: AIjacking Leads to Data Exfiltration Feedly Summary: AI Summary and Description: Yes Summary: The text discusses significant vulnerabilities in AI agents, particularly focusing on prompt injection attacks that led to unauthorized access and exfiltration of sensitive data. It provides a case study involving a customer service agent…

  • Slashdot: Salesforce Study Finds LLM Agents Flunk CRM and Confidentiality Tests

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    by

    Kurt Seifried
    in

    Source URL: https://yro.slashdot.org/story/25/06/16/2054205/salesforce-study-finds-llm-agents-flunk-crm-and-confidentiality-tests Source: Slashdot Title: Salesforce Study Finds LLM Agents Flunk CRM and Confidentiality Tests Feedly Summary: AI Summary and Description: Yes Summary: A recent Salesforce study highlights significant limitations of LLM-based AI agents in real-world CRM tasks, achieving only 58% success on simple tasks and 35% on multi-step tasks. The findings indicate a…