NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt
AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing...
Pai 的 AI 雷达
今天:NVIDIA Vera Rubin(Agent 原型),Solving Agentic AI(Agent 原型)。并行还有 Quoting Drew Breunig、not much happened。
AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing...
AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks....
Prior to Fable, it felt silly to waste too much time improving your coding harness or context strategies. A new model would arrive at the same price (or cheaper!) and paper over most of your problems. But then Fable land
**Agent harnesses** are becoming a key optimization focus, with NVIDIA research showing traditional skill checks poorly predict agent usefulness and proposing a new metric called **"Skill Lift"**. Open-source implementat
**Z.ai** released the **GLM-5.3** open-weight model family, optimized for **agentic coding** and **cyber defense**, with impressive specs like **744B total / 40B active parameters**, **1M context window**, and a **239GB
**Stanford** is formalizing AI-native software engineering with a major curriculum overhaul replacing **85% of Fall 2025 material** to focus on **agent skills, context engineering, MCP portals, agent-ready codebase desig