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4 articles tagged LLM Agents.
Founders of Waddle Labs and Robocurve discuss how general-purpose LLMs are replacing specialized VLA models for robot control. The discussion highlights the shift from fine-tuning to in-context learning, the role of computer-use data in spatial intelligence, and the emerging 'robot use agent' paradigm.
A strategic analysis of securing autonomous AI coding agents using virtual machine isolation. The discussion covers the 'Lethal Trifactor' of prompt injection, the necessity of network egress restrictions via proxy, and practical implementation workflows for enterprise developers.
Analysis of GPT 5.4's impact on agent workflows, the security vulnerabilities inherent in AI-recommended dependencies, and the shift toward local-first privacy tools. This brief highlights the operational risks of relying on LLMs for code generation and the emerging market for local speech-to-text and haptic web interfaces.
A strategic analysis of the Model Context Protocol (MCP) ecosystem, highlighting critical security vulnerabilities, the shift from API wrapping to workflow design, and actionable frameworks for secure enterprise adoption of AI agents.
