DeepSeek V4

DeepSeek V4 marks a paradigm shift from ‘chip adapting to models’ to ‘chip-model co-design’ in China’s computing ecosystem; with CANN open-sourced, developers now solve issues autonomously, 70+ mainstream LLMs are plug-and-play on Ascend, AIGCode achieves 65% MFU, USTC’s LU solver reaches up to 200× speedup, and financial-grade AI systems are deployed in core risk control—Kunpeng/Ascend developer base exceeds 4.1 million.

Tencent's Marvis breaks through the limits of chatbot-style AI by integrating at the OS level, enabling users to control files, system settings, and cross-device apps via natural language — the first true personal AI assistant that understands and acts on your computer.

Reasonix is a terminal-native AI coding assistant designed for DeepSeek API, achieving up to 94% cache hit rate and 2.5x cost reduction via byte-stable caching.

Recent developments in LLM architectures focus on KV sharing, mHC, and compressed attention to improve long-context efficiency.

DeepSeek V4 price drops significantly, with Reasonix tool reducing costs to 20%, achieving a 99.82% cache hit rate.

DeepSeekV4发布，通过组合创新和工程优化，在R1的“测试时扩展”范式下，实现百万上下文从理论到实用的飞跃，对Agent和多步复杂任务具有重要意义。

The article explores the generation mechanism of the tid2eid mapping table in the DeepSeek V4 model.

DeepSeek-V4面临百万token上下文推理问题，提出优化策略并展示性能提升。

AI can automatically call 100 UK plumbers via GenSpark using multiple specialized agents (research, voice script, call, inbox, etc.) to test its viability as a 24/7 receptionist; the AI successfully steers users to a Calendly booking link, though final conversion metrics are not disclosed.

DeepSeek 全面开源 V4 系列模型（含 1M 上下文、1.6T 参数 Pro 版），被解读为以‘孙子兵法’式战略瓦解美国 AI 垄断逻辑：当 AGI 核心技术公开，闭源护城河崩塌，估值与商业模型将重构。

NVIDIA AI 报告称，SGLang 在 Blackwell 硬件上使用 DeepSeek-V4 模型解码达到 180 tok/s/GPU 的速度，约 1M 上下文，得益于 LMSYS 组织针对 Blackwell 的特定优化，提高了混合稀疏注意力的利用效率。

DeepSeek V4的发布标志着国产AI模型与华为昇腾算力结合，挑战NVIDIA垄断，腾讯阿里未涉足的领域。梁文锋计划融资100亿美金，旨在未来五年AI战略卡位，探索算力、电力、地权等大模型关键支撑。

本文介绍了如何在VS Code中集成DeepSeek V4、GLM-5.1、Kimi K2.6等AI模型，通过Continuedev插件实现代码补全、AI聊天和编辑功能。

DeepSeek V4被宣传为接近SOTA、开源、极低成本（$1.74/百万token）且支持本地部署的AI模型，但原文无技术细节、实测数据或架构说明，属典型短视频营销话术。

视频宣传免费的Deepseek-V4 PRO AI编码器，讨论其功能与影响，但正文内容缺失，无法深入评估。

文章标题提及DeepSeek V4在昇腾平台的性能表现促使客户快速下单，但正文内容无法正常访问，无法评估深度、新颖性、实用性与可信度。