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AI agents create virtual playgrounds to help robots get crucial training data

Robots walking down the street, surrounded by astounded onlookers, is an increasingly common sight. But these machines aren’t yet the do-it-all assistants you’d want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it’s labor-intensive and time-consuming to physically teach

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Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks

In this tutorial, we build a runnable reconstruction of the VideoAgent workflow, focusing on the core agentic pipeline behind video understanding, retrieval, editing, and remaking. We start by configuring a lightweight environment that works without API keys. We define an intent parser, an agent library, a tool router, a graph planner, and a textual-gradient optimizer

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Quote of the day by Marie Curie: “Life is not easy for any of us. But what of that? We must have perseverance and…” – understand what confidence and perseverance can achieve that talent alone never will

Marie Curie’s 1894 letter offers timeless advice on facing life’s difficulties. She stressed perseverance and self-confidence as essential for achieving goals. Curie wrote this as a struggling student, years before her fame. Her own challenging life lent extraordinary weight to these words. This message remains relevant, emphasizing sustained effort over quick results.

Quote of the day by Marie Curie: “Life is not easy for any of us. But what of that? We must have perseverance and…” – understand what confidence and perseverance can achieve that talent alone never will Read More »