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FinSkillBench is a new benchmark for testing AI agents on portfolio construction, risk management, and fundamental analysis. Across nine models, curated procedural skills raised mean performance from 0.366 to 0.528, while self-generated skills delivered little benefit.
This survey frames self-evolving LLM agents as dynamic graphs whose memories, tools, skills, workflows, and relationships change over time. It presents four evolution taxonomies, connects nine dynamic-graph-learning fields to agent capabilities, and proposes graph-aware evaluation and governance protocols.
NVIDIA demonstrates how developers can build real-time edge AI applications with Holoscan using its CLI, skills, documentation, and AI coding agents. The workflow leverages HoloHub’s reference applications and reusable components to help agents assist with development.
NVIDIA SkillEvaluator is designed to measure whether packaged agent skills improve AI agent performance. It evaluates the value of instructions, examples, and tool guidance that help agents find relevant context, reduce wasted steps, and complete specialized tasks more effectively.
Wired observed a robotic arm at Generalist AI learning and improvising during a live demonstration. The robot reportedly used a banana as a tool, highlighting progress toward more adaptable embodied AI systems.
Luming Robotics founder Yu Chao argues that embodied AI is entering a phase where task-specific skills matter more than simply building robot hardware. The company’s strategy emphasizes defining capabilities and forms around real-world tasks.
Google announced that its open model family, Gemma, has surpassed one billion cumulative downloads. More than 100,000 derivative models have been created, and Google launched the official Awesome Gemma directory on GitHub.
NVIDIA is reportedly connecting GPU-owning AI companies with Nordic data-center operators that have available power, land, and server capacity. The strategy expands NVIDIA’s role from chip supplier to infrastructure orchestrator, helping customers deploy GPUs and secure future chip demand.
Anduril Industries reportedly completed a $5 billion Series H financing at a $61 billion valuation, reinforcing its position as a major defense-technology company. The article highlights its Lattice AI platform, flexible Arsenal-1 manufacturing system, and Palmer Luckey’s view that China’s engineering and manufacturing efficiency could reshape future military competition.
Kling AI generated more than RMB 850 million in Q2 revenue, up 240% year over year, making it the standout growth driver in Kuaishou’s otherwise slowing business. Kuaishou is prioritizing AI investment, spinning Kling AI out for independent financing at an implied valuation of US$18 billion despite near-term profit pressure.