Tech Blog
AI Is Improving AI Faster Than We Can Check
AI is already helping to build the next generation of AI, with people still in the loop. What limits its speed is verification: agents produce work far faster than people and tests can check it. Five reasons verification is the...
Where AI Self-Improvement (RSI) Stands: 8 Takeaways / AI 自我改进（RSI）走到哪一步了：8 条 take away
On October 3, NICE hosted an online workshop on the mechanisms, evidence and limits of AI self-improvement, with four researchers who work on RSI. The main approaches, the current bottlenecks, how to evaluate it, and what it means for academia...
MatrAIx: The Hardest Part of AI Evaluation / MatrAIx：AI评测中最难的部分
Behind 8.3 billion simulated users, a startup is targeting the part of AI evaluation that benchmarks never measured. An interview with Xiaomin Li and Yuexing Hao, the two founders of MatrAIx: how the personas get built and turned into agents,...
英伟达为什么要保卫开放权重，以及它将如何重塑AI算力市场 / Why NVIDIA Is Defending Open-Weight Models—and How They Could Reshape the AI Compute Market
Open weights are not just a model-release choice; they reshape who buys compute, who controls inference demand, and how much bargaining power enterprises have against closed APIs.
The Evolution of Agents: From Context Engineering to Long-running Harnesses / Agent 从 Context Engineering 到 Long-running Harness 的演变过程
From LLM + tool use to context engineering, and then to long-running agent harnesses: agent capability is becoming a system property composed of the model, harness, context, tools, evals, sandbox, and state management.