239 related articles

Jensen Huang's AI manifesto rallies Microsoft, Meta, Dell & 17 more companies behind open-source AI, challenging closed-model monopolies on pricing, IP, and security.

OpenRouter data shows Chinese AI models now account for 58% of US AI consumption. Silicon Valley giants like DoorDash and Airbnb adopt Kimi, DeepSeek, and Qwen for their low cost and open-weight advantages.

OpenRouter data shows Chinese AI models now account for 58% of US AI consumption. Silicon Valley giants like DoorDash and Airbnb adopt Kimi, DeepSeek, and Qwen, leveraging low cost, high performance, and open weights.

Chinese open-source models DeepSeek and Kimi K3 challenge OpenAI's closed-source dominance. Analysis of open vs. closed AI strategies, CUDA moat erosion, and the US-China strategic battle for AI supremacy.

Deep dive into the trending open source project Impeccable — a design language framework that enables AI tools to generate professional-grade UI. Learn how it bridges the design quality gap in AI-generated interfaces.

In-depth analysis of Claude Opus, Gemini Pro, and ChatGPT: the real competitive landscape among top AI models, limitations of community benchmarks, and scientific methods for model selection.

When AI tools let everyone code and design, where is your edge? A deep analysis of why focus and execution are the scarcest superpowers in the AI era.

Get started with Claude Code from scratch: detailed Windows installation, environment variable setup, China network bypass, and connecting to free Alibaba Cloud Bailian models—plus the three working modes.

An analysis of DeepSeek's Liang Wenfeng 4-hour investor meeting: restrained pricing with 10-month payback, why open source doesn't hurt revenue, the Agent–continual learning–self-iteration AGI roadmap, plus domestic chips, talent, and your moat.

Are Cursor referral codes and discount codes still valid? This guide analyzes Cursor's pricing model, promotional policy trends, and practical savings strategies including annual billing, education discounts, and competitor comparisons.

NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.

A real case: a creator launched an AI photo generation product in 3 hours with zero code, and got paid the next day. This article breaks down the full loop methodology.

A real case: a creator launched an AI photo generation product in under 3 hours with zero code, and got paid the next day. This article breaks down the full loop methodology.

How can users in China use Claude? This article deeply compares four solutions: official subscription, proxy subscription (WildCard), relay platforms (2233/0011.ai), and API aggregation (OpenRouter).

T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.

OpenAI launches GPT-5.6 with three tiered models—Sol, Terra, and Luna—Ultra multi-agent parallel collaboration, Codex integrated into ChatGPT desktop, and an upgraded Computer Use.
GitHub Daily · July 22: Financial Foun…
GitHub Trending July 22: Kronos brings the foundation model paradigm to finance, awesome-claude-skills tops with 70K stars, plus LikeC4 architecture-as-code and Rust-based Pumpkin.

A 3-month structured roadmap for developers transitioning into AI/LLM engineering: Python & API basics, LangChain/FastAPI stack, and RAG/Agent projects.