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An Organizational Second Brain: Building an AI That Learns From Experts
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An Organizational Second Brain: Building an AI That Learns From Experts

Meta distills compliance expertise into 200+ structured files, splits what the agent knows from how it reasons via recipes, and compiles expert fixes into regression-tested edits, no model retraining.

AI AgentKnowledge SystemsSelf-ImprovementRAGEnterprise AI
Shaurya Sengar, Jason Nawrocki, Jay Shah, Prashant Kommireddi· 2026-09-02T00:00:00
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Embodied AI12Humanoid9VLA8Reinforcement Learning6World Models6Boston Dynamics41X3Atlas3Dexterous Manipulation3NVIDIA3Open Source3Tactile Perception3Whole-Body Control3neo33dgs2AI Agent2Agent Harness2CAN2Cross-Embodiment2Digital twins2
How does Astra's computer use actually work?

How does Astra's computer use actually work?

A source-code grounded walkthrough of GPT-6 Astra: accessibility trees instead of pixel guessing, a persistent Node REPL, actions written as code, and a Guardian policy that blocks risky operations before execution.

Computer UseAI AgentGPT-6 AstraKyle Jeong·Sep 7, 2026
Anthropic Opens the Model Hardware Standard Research Preview: A Shared Interface for AI Agents to Operate Physical Equipment

Anthropic Opens the Model Hardware Standard Research Preview: A Shared Interface for AI Agents to Operate Physical Equipment

MHS uses standardized drivers, read/write primitives, natural-language machine descriptions, and MCP/CLI/API control to connect heterogeneous lab and manufacturing equipment to AI agents. The preview includes AWS, Doosan, Universal Robots, Tecan, QIAGEN and others, while emphasizing expert oversight for physical reasoning and safety.

MHSMCPAI AgentAnthropic·Aug 27, 2026