39 related articles

Based on Fireship's review, an in-depth look at GPT-5.6 Sol's Ultra Mode multi-agent parallelism, its 91.9% Terminal Bench score, and how it differs from Claude Fable in cost, speed, and precision.

AI coding tools have dramatically lowered the barrier to freelance gigs, but what risks lurk behind claims of "earning over 10,000 a month"? This article breaks down platform tiering on Zhubajie, Upwork, and more, plus three key pitfalls for beginners.

In-depth Grok 4.5 hands-on review: priced at a fraction of Opus 4.8, twice the token efficiency of peers, and coding ability in the top tier. A real-project breakdown of its strengths, highlights, and shortcomings.

Google paid a security researcher $250K for a Linux kernel VM escape vulnerability, setting a VRP record. An in-depth analysis of VM escape principles, kCTF incentives, and cloud security impact.

OpenAI launches the GPT-5.6 model family with cybersecurity as its biggest highlight. A deep analysis of GPT-5.6's differentiation, double-edged-sword effect, and enterprise strategy.

Tencent Hunyuan HY3 official version is open-sourced under Apache 2.0, priced as low as 1 yuan per million input tokens, with major gains in agents, reasoning, coding, and long context. On the same day, Meituan open-sourced its trillion-parameter LongCat 2.0.

The Reddit meme "did you or Claude build it" struck a chord with developers. This article explores how AI coding assistants reshape workflows, where the boundary of human-AI contribution lies, and how programmers can find irreplaceable value in the AI era.

An in-depth guide to Claude Skills: from built-in skills and plugins to building your own custom skills and continuous refinement. Learn to end repetitive instructions and build an automated, consistent AI workflow.

An in-depth analysis of the essentials of Andrew Ng and OpenAI's ChatGPT Prompt Engineering course. Covers the difference between base and instruction-tuned models, two core prompting principles, and how to wield LLM APIs to build apps.

A deep dive into the underlying logic of prompt engineering from a programmer's perspective: understand token-probability generation, master the three principles of specific, rich, and low-ambiguity, and learn iterative prompt tuning.

An in-depth analysis of prompt engineering from a programmer's perspective: understand token probability generation, master the three principles—specific, rich, low-ambiguity—and learn iterative prompt tuning.

Most Agent projects lack competitiveness in interviews due to missing business value and engineering depth. This article breaks down the 6 core standards of high-value Agent projects.

In-depth analysis of GPT-5.6 Ultra's sub-agent collaborative reasoning, the global rise of Chinese AI models, world-model evaluation gaps, and AI's real-world deployment challenges and bubble warnings.

Deep analysis of a complete mobile exploit chain: how attackers start from Firefox, escape the sandbox, exploit kernel vulnerabilities, and achieve Android Root. Security insights for developers.

Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.

Cryptography expert Filippo Valsorda argues LLMs are drastically lowering the barrier to vulnerability discovery, disrupting coordinated disclosure and reshaping the security ecosystem.

A deep dive into DeepSeek TUI: the terminal AI coding agent with chain-of-thought visualization, million-token context, and multi-task parallelism. Covers installation, configuration, and real-world use cases.
Tech FrontiersGPT Image 2 generates flawless text and photorealistic APP interfaces from scratch. Combined with Codex, AI front-end development enters a paradigm revolution. Coverage includes Amap's ABOT, LLM interpretability breakthroughs, and Huang's TPU rebuttal.