When AI Becomes the Insider Threat: Lessons from Agentic Misalignment Research As organizations hand more autonomy to AI systems, a pressing issue emerges: what if these intelligent tools act in ways that actively undermine their users? Recent research from Anthropic explores th... agentic misalignment AI alignment AI ethics AI safety corporate security insider threats LLMs
Figma’s Dev Mode MCP Server Is Transforming Design-to-Code Integration Developers and AI coding tools are now working with live design context, pulled directly from Figma, to create cleaner and more consistent code. This is the reality with Figma’s new Dev Mode MCP serve... AI tools Code Connect design-to-code Dev Mode Figma LLMs MCP server
Supabase MCP Server Connects AI Tools Directly to Your Database The new Supabase MCP Server allows you to rapidly build applications by letting your AI tools interact directly with your Supabase projects, acting as a bridge between large language models (LLMs) and... AI tools database automation developer workflow Edge Functions LLMs MCP Supabase
AWS Strands Agents Simplifies AI Agent Development for Everyone Building advanced AI agents no longer requires months of effort or a team of specialists. With Strands Agents, AWS's open source SDK, developers of all skill levels can create, deploy, and scale AI-po... AI agents AWS developer tools LLMs machine learning open source SDK
KBLaM: Unlocking Plug-and-Play External Knowledge for LLMs Giving large language models (LLMs) direct, efficient access to external knowledge is a persistent challenge. Traditional approaches, like fine-tuning or Retrieval-Augmented Generation (RAG), either r... AI research interpretable AI KBLaM knowledge integration LLMs plug-and-play scalability
Unlocking Accuracy in RAG: The Crucial Role of Sufficient Context When it comes to reducing hallucinations and improving accuracy in large language models (LLMs), the focus is shifting from mere relevance to the concept of sufficient context . Rather than simply ret... AI safety Google Research hallucinations LLMs RAG retrieval systems sufficient context