炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 来源：张忆东策略世界 2026年的春季行情，是一场关于"新质生产力"与"全球流动性边际改善"的重新共鸣。近期行情调整颠簸 恰似"倒车接人"，重点布局"十五五规划"的重点领域与具备全球竞争力的中国优势资产。 一、 AI行情：去伪存真而非Game Over，回调只是重定价 核心逻辑：不要被短期的波动蒙蔽了双眼，AI科技革命仍处于"基础设施建设期"，美联储降息周期还将 延续，类似1997-98的互联网浪潮而非1999-2000年。 当前的回调是市场对"大力出奇迹、扩大资本开支以增效"旧叙事的纠偏，及对"Agent颠覆性"新叙事的 适应，叠加美联储人事提名引发的风险偏好变化。我们判断这更像拥挤交易后的仓位与估值消化，而非 产业趋势逆转；只要算力投入持续转化为产品迭代与真实需求，回调就不是AI熄火，而是"去伪存真"后 的再定价、再出发。 1． 资本开支的"豪赌"昭示AI浪潮的巨大惯性：2026年美股六大科技巨头资本支出预计高达 6500亿美元 （高基数下同比再激增55%），中国四大互联网巨头资本开支增速将达 77%。 2． 从"对话玩具"到"生产 ...

Apple Stock Eyes Breakout As Unseen Engine Unlocks Agentic AI | Investor's Business DailyMESSY MARKET: [Take These Steps To Stay Profitable And Protected]---Earlier this month, Apple (AAPL) unveiled Xcode 26.3 to unlock the power of agentic coding to help developers leverage coding agents, including Anthropic's Claude Agent and OpenAI's Codex. Alongside that news, Apple stock continues to take aim at two potential buy points as it pops onto the Investor's Business Daily Breakout Stocks Index. The iPhone mak ...

Group 1 - Nvidia is nearing a $20 billion investment agreement to participate in OpenAI's latest funding round, marking Nvidia's largest single investment to date, with CEO Jensen Huang stating "this is a very good investment" [1] - OpenAI's current funding round aims for a total of $100 billion, with Amazon planning to invest up to $50 billion and SoftBank considering a $30 billion investment, leading to an estimated valuation of approximately $830 billion [1] - This investment signifies a deeper integration between AI infrastructure and leading model developers, with capital increasingly concentrating among a few super players [1] Group 2 - Tencent has officially open-sourced its high-performance LLM inference core operator library, HPC-Ops, built from scratch using CUDA and CuTe, achieving a 30% improvement in inference QPM for the Mix Yuan model and a 17% improvement for the DeepSeek model [2] - In terms of single-operator performance, Attention shows up to a 2.22x improvement over FlashInfer/FlashAttention, while GroupGEMM outperforms DeepGEMM by up to 1.88x, and FusedMoE exceeds TensorRT-LLM by up to 1.49x [2] - The operator library is optimized for mainstream inference graphics cards in China, addressing high usage costs and hardware compatibility issues with existing mainstream operator libraries [2] Group 3 - Alibaba has open-sourced the Qwen3-Coder-Next model, featuring 80 billion parameters with only 3 billion active parameters, achieving over 70% problem-solving rate on the SWE-Bench Verified, comparable to models with 10-20 times more active parameters [3] - The model excels in long-sequence reasoning, complex tool usage, and recovery from execution failures, supporting a context of 256k and seamless integration with various IDE platforms like Cline and Claude Code [3] - A paper co-authored by Zhou Jingren and Lin Junyang has been published alongside the SWE-Universe framework, expanding the real-world multilingual SWE environment to nearly one million levels [3] Group 4 - The website rentahuman.ai has launched, allowing AI to hire humans for tasks such as delivery, event check-in, and on-site inspections through the MCP protocol or REST API [4] - Within 48 hours of launch, the platform had over 20,000 available human workers, allowing individuals to set their own hourly rates without the need for small talk, with tasks including photography, restaurant tasting, and package collection [4] - The site has sparked discussions on responsibility attribution, task authenticity verification, and the ethics of AI hiring humans, also seen as a demonstration of the MCP protocol's value [4] Group 5 - Mianbi Intelligence has open-sourced the MiniCPM-o 4.5 model, which features only 9 billion parameters and achieves full-duplex dialogue capabilities, becoming the first large model for "instant free conversation" [5] - The model employs an end-to-end multimodal architecture, utilizing time-division multiplexing and active interaction mechanisms to automatically decide whether to speak at a frequency of 1Hz, ensuring continuous perception and dynamic dialogue [5] Group 6 - Kunlun Tiangong has released the Skywork desktop version, which executes tasks locally without uploading to the cloud, capable of reading vast local files for summarization and new product generation while supporting parallel multitasking [6] - It supports switching between Claude Opus 4.5, Sonnet 4.5, and Gemini 3 Pro models, with over 100 selected skills built-in, covering Office suite, web pages, and image and video generation [6] - The application prioritizes Windows systems, offering higher quality image and video generation, with all operations conducted in a local virtual machine environment to ensure data security [6] Group 7 - Apple has released Xcode version 26.3, officially introducing "intelligent agent programming" support, allowing developers to directly call AI agents like Anthropic's Claude and OpenAI's Codex [7] - The integrated AI agents can browse and search the entire project structure, read, write, edit, and delete files, and automatically reference Apple's official documentation to resolve issues [7] - User feedback has been mixed, with some praising the experience while others report issues such as freezing, poor diff mechanisms, and instability in cross-file refactoring [7] Group 8 - The open-source music generation model ACE-Step 1.5 has gained support on ComfyUI, utilizing a hybrid LM+DiT architecture to generate a complete 4-minute song in approximately 1 second on an RTX 5090 [8] - The model supports over 50 language instructions and can run with less than 4GB of VRAM, achieving a music coherence score of 4.72, surpassing most commercial models [8] - It allows for LoRA fine-tuning for style personalization and will soon support music reconstruction and segment repair features, all running locally to ensure data security [8] Group 9 - Google has launched PaperBanana, establishing a multi-agent collaborative framework for generating paper illustrations, aimed at freeing researchers from time-consuming illustration tasks [9] - The system includes roles such as retriever, planner, modeler, visualization expert, and critic, achieving improvements in simplicity, readability, and overall aesthetic quality [9] - However, there are limitations in handling complex architectures, such as text distortion or connection errors, with plans to introduce code diffusion models for drawing and human-machine collaboration interfaces in the future [9]