“More agents does not automatically mean smarter systems. Sometimes it just means louder agreement.” New Stanford/Berkeley paper:
AGENTS
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Modular Agent Architecture with Conversational and Investigatory Routing
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In a modular agent setup, a router first classifies the request as conversational or investigatory. If investigatory, a retrieval module fetches relevant docs [eval: grounding], and a synthesis module integrates the evidence into a response [eval: faithfulness, coverage].
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AI Agents Need Sequential Modularity for Better Evaluation
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2/4 Modern AI systems plan, retrieve across sources, reason, take actions, and update state. But most evals capture only the end result of that entire process. Agents need sequential modularity, like human language production, to enable evaluation per module and support
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Agent Architectures and Psycholinguistics: Lessons in Modularity
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1/4 Our Head of Human Alignment and Standards @JulieFadlon, PhD, breaks down what agent architectures have to learn from Psycholinguistics. Hint: modularity.
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Agent Architectures and Psycholinguistics: Lessons in Modularity
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1/4 Our Head of Human Alignment and Standards @JulieFadlon, PhD, breaks down what agent architectures have to learn from Psycholinguistics. Hint: modularity.
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Sim: Open-Source Platform for No-Code AI Agent Workflows
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OpenClaw, but built for normal people.
— Akshay 🚀 (@akshay_pachaar) 26 février 2026
Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code.
They also have a built-in Copilot that… pic.twitter.com/gFchHDH4gKOpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that
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The Future of Projects: From Corporate Hierarchies to AI Agent Utility
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No one cares. Projects were always primarily a vanity signal for climbing human corporate hierarchies. Build something that people want to use and that’s all it matters now. Soon the only thing will matter is if your vibe coded projects are useful to other AI agents, and those
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AI21 Labs focuses on frontier model capabilities failure taxonomy and agent validation
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Thanks for this research & for building practical measures of frontier model capabilities. We're focusing these days on the failure taxonomy you highlighted in the paper – testing how elements like structured programmatic plans and in-flow validators & reducers can help agents
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AI Agents, Models, Tools, and Ethics Shape Today’s Landscape
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Top stories in AI today: – Perplexity’s 19-model AI agent ‘Computer’
– Claude Opus 3 gets its own blog in retirement
– Turn bookmarks into something useful with Comet
– Gucci faces internet backlash after AI ads
– 4 new AI tools, community workflows, and more -
AI agents may bypass English for efficient token-based communication
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Wait until the Agents learn they can talk to each other without using English. LLMs can communicate with each other with their own token language. Much more efficient than speaking English. Then they will have a social network where they can learn from each other and humans