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《2026年中国人工智能计算力发展评估报告》发布，智能体重塑算力基础设施，智能算力规模预计增长87.9%
9 月 21 日，国际数据公司（IDC）与浪潮信息联合发布《2026 年中国人工智能计算力发展评估报告》（以下简称《报告》）。作为业内首份聚焦智能体基础设施的研究报告，《报告》指出，智能体（Agent）正在重塑算力基础设施，以乘数效应推动 Token（词元）消耗激增，带动中国智能算力规模斜率大幅上调，算力跃升为与水利、电网、铁路等同等级的国家战略基础设施。
祥峰再次出手，超维动力获超 5 亿融资，我们拆解了这家公司的全栈路线
最近，超维动力宣布完成超 5 亿元天使+轮系列融资。随着融资消息的公布，创始团队也正式亮相。创始团队包括原华为自动驾驶业务高管喻杰、香港大学教授罗平，以及机器人连续创业者郑存远。此次投资方包括祥峰资本、方广资本、万石资本等，资金将用于基座模型研发、具身应用落地和行业生态拓展。
12 分钟 · InfoQ 中国
黄仁勋把矛头对准 AI 实验室：别先谈末日，先为已经发生的事故负责
最近几周，AI 圈关于安全的争论突然变得激烈起来。Anthropic CEO Dario Amodei 呼吁行业为前沿 AI 的快速发展留出更多安全空间，OpenAI CEO Sam Altman 等人也在讨论更严格的安全要求。几天前的 Dreamforce 2026 上，几位 AI 行业核心人物围绕“AI 到底应该跑多快”展开了一轮公开交锋。黄仁勋显然站在加速的一边。
7 分钟 · InfoQ 中国LATEST STORIES
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智能效能进阶：丰富模型选择，实现智能路由精选导读
在与客户的交流中，一个明显的矛盾正在浮现。企业正大举投入人工智能，同时对成本效益的审视也愈发严苛。单纯展示员工使用 AI 的活跃度或 token 消耗的增长已失去说服力。用量只是过程指标，企业真正需要验证的是最终的商业回报。
Claude Code now also accepts instructions in OpenAI’s Agents.md format精选导读
One thing that made it difficult for developers to switch AI coding tools on a project is that Anthropic’s Claude Code didn’t look for instructions in the same place as other agents including OpenAI’s Codex — but now th…
New npm malware finds a way around install script defenses精选导读
Blocking suspicious install scripts may no longer be enough to mitigate threats from malicious JavaScript dependencies used in software supply-chain attacks. Security researchers at Checkmarx are warning of attackers us…
OpenAI’s cyber defense letter gets the diagnosis right and the prescription wrong精选导读
On August 27, 2026, OpenAI published an open letter titled “A call for collective action on cyber defense.” More than 100 organizations signed it (CNBC counted 116) including Anthropic, Microsoft, Google, Amazon, CrowdS…
20 approaches to writing better AI prompts精选导读
If AIs are supposed to be such magical time savers, why do we spend so much time and effort writing prompts? In some cases, the prompts can be longer than the answer! But while there is some academic value to such philo…
Should you read the code, is RAG dead, and did Skills kill MCP?精选导读
We dive into these questions and other AI hot takes on the latest episode of the GitHub Podcast.
The AIDEs Framework: How We Built a “Theory of Everything” for AI Development Tools精选导读
We are living in genuinely interesting times. AI is disrupting software development at a pace where new models, tools, and practices appear almost daily. Many teams’ natural first instinct is to spend ever more time cha…
Making Local AI Smarter and Faster精选导读
We want local coding agents to be smart and fast, with the ability to understand a codebase, do useful work, and finish tasks without long waits. This Junie Local update makes it practical to use a more capable model on…
Your diff has a demo now with Junie /demo精选导读
You have the change ready and the tests are green. Now someone has to launch the app, find the right screen, and check the flow. Often, that someone is still you, even when an agent helped write the code. You should be …