## 🔍 Core Insights The AI industry is rapidly shifting from **model-level competition** to **system-level engineering**: - **DeepSeek** has permanently slashed pricing for its V4-Pro model and launched the “Harness” engineering initiative—its answer to Claude Code. - **Google** unveiled Gemini 3.5 and the Antigravity 2.0 agent platform at I/O 2026. - Vertical AI startups—including **FlashLabs** and **invoko.ai**—are collectively pivoting toward deep business integration and direct consumer (C-end) deployment, confirming a growing industry consensus: *“Agents must grow rooted in their own business.”* [3][4][14][15][20] ## 🚀 Key Updates - **DeepSeek V4-Pro API permanently priced at 25% of original cost** [15]: Drastically lowers inference costs and accelerates large-scale commercial adoption. - **DeepSeek launches Harness—a ground-up effort to build China’s own Claude Code** [20]: Focuses on the engineering systems behind code agents, signaling an escalation in AI programming competition. - **Google I/O 2026 introduces Gemini 3.5 and Antigravity 2.0 agent platform** [7]: Enhances long-horizon task execution and native support for Web/Android agent development. - **Tencent Cloud ADP Intelligent Workspace demonstrates a key principle: enterprise agents must be deeply embedded in core business systems** [3]: Rejects standalone chat interfaces in favor of process-level integration with OA, CRM, and ERP. - **invoko.ai founder reflects on vertical-agent challenges—and pivots to C-end browser extensions** [0]: Highlights how ToB vertical agents are adapting amid pressure from increasingly capable general-purpose models. - **FlashLabs publishes a systemic recovery plan for vertical AI startups** [14]: Covers organizational restructuring, product redefinition, and business model transformation. - **Inspur’s subsidiary Hyperfusion files for ChiNext IPO, seeking ¥8 billion to fund next-gen computing infrastructure** [8]: As a leading domestic x86 server vendor, it’s accelerating development of sovereign compute foundations. - **Codex evolves into the “AI Employee” methodology—publicly released with persistent threads, voice input, Heartbeats scheduling, and shared memory** [2][5]: Jason Liu outlines a full framework for evolving coding assistants into continuous, autonomous work systems. ## 🔗 Sources [0] An AI Founder’s Vanity, Pretense, and Peak of Naivety — Interview with Meng Qi, Founder of invoko.ai — https://www.bestblogs.dev/podcast/6507a82?utm_source=rss&utm_medium=feed&utm_campaign=resources&entry=rss_article_item [1] #549. How Do AI Chips Actually Work? The Underlying Design of GPUs and TPUs — https://www.bestblogs.dev/podcast/e59bfef?utm_source=rss&utm_medium=feed&utm_campaign=resources&entry=rss_article_item [2] How to Use Codex to Its Full Potential — https://www.bestblogs.dev/article/68d62396?utm_source=rss&utm_medium=feed&utm_campaign=resources&entry=rss_article_item [3] Enterprise Agents Must Grow Rooted in Their Own Business — https://www.bestblogs.dev/article/495a7fa3?utm_source=rss&utm_medium=feed&utm_campaign=resources&entry=rss_article_item [4] “Five Types of People AI Can’t Replace—And Why Being #2 Is the Safest Strategy for Enterprises” | Fang Han, Kunlun Tech, at AIGC2026 —