309 related articles

Sephora partnered with OpenAI to build an AI beauty shopping assistant, achieving a 5%+ conversion lift. A deep dive into its conversational commerce design, ChatGPT integration, and four key lessons for retail AI transformation.

Microsoft's massive Xbox layoffs deal a heavy blow to Doom developer id Software, cutting over 90 positions with QA hit hardest. An in-depth analysis of the layoff backdrop, causes of the industry winter, and its impact.

An in-depth look at 'Deterministic Context Folding' from Context Warp Drive: solving AI agent context window management with reproducible, cacheable, debuggable context compression for production-grade agents.

Learning Python from scratch? This article breaks down the three learning stages—Fundamentals, Intermediate, and Practice—covering variables, OOP, scraping, and data analysis to help you plan a systematic Python path.

Microsoft's optional update KB5095093 fixes a Windows 11 bug where the CapabilityAccessManager.db-wal SQLite WAL file bloats to several GBs due to a failed checkpoint mechanism.

A plain-language guide to how Python web scrapers work: from HTTP requests and responses, HTML tag parsing, to the complete three-step data scraping workflow, with a focus on the three legal red lines and compliance advice.

Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.

An in-depth analysis of the head-to-head between Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol: the performance gap, the logic behind pricing strategies, and the concentration-of-power concerns raised by U.S. government involvement.

A tailored large-model learning path for ordinary programmers: from prompt engineering, API calls, and LangChain, to RAG, Agents, fine-tuning, and enterprise deployment—six steps to build AI application skills fast.

Cut through the Agentic AI hype to see the real value of agentic applications. Based on Andrew Ng's course, learn why Evals and error analysis—not framework choice—separate top developers.

Meta's Zuckerberg says AI progress is slower than expected; combined with compute sale news, the SOX fell nearly 12% over two days. JP Morgan warns on chip demand.

One of the biggest bottlenecks to fusion commercialization is the tritium fuel breeding and cycling problem. This article explores how quantum computing and AI supercomputers can jointly tackle fusion's fuel challenge.

Claude Code is Anthropic's local AI coding assistant featuring full project context, auto error correction, and high-accuracy code generation. Compare it with Cursor, Trae, and Codex.

Microsoft Foundry integrates Anthropic Claude models, enabling Azure customers to access Claude Opus 4.8 and Haiku 4.5 with unified authentication, billing, and commitment spend drawdown.

Microsoft Foundry integrates Anthropic Claude models. Azure customers can now access Claude Opus 4.8 and Haiku 4.5 with unified identity auth, billing, and commitment credit deduction.

Software speed isn't just a performance metric — it's a core feature shaping user experience and trust. Learn how responsiveness drives creativity, flow, and lasting competitive advantage.

A fine-tuning experiment making an LLM believe 'Japan's capital is Paris' reveals the fragility of AI knowledge storage, boundaries of knowledge editing, and deep implications for model poisoning and AI safety.

LLMs are built to predict the most probable output — making them averaging engines by design. Explore how regression to the mean quietly stifles innovation and how to fight back.

Can't make pure AI work? This guide explores the Semi-AI approach to API automation testing, covering key challenges, enterprise framework design, and how AI and frameworks work together for maximum impact.
Stronger Models, Worse Tools? The Hidd…
Developers found Claude's flagship models Opus and Sonnet perform worse with third-party editing tools than older versions — likely due to RL over-optimization on built-in tools degrading generalization.