93 related articles

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.

Anthropic's Claude faces backlash over undisclosed tracking mechanisms that contradict the company's anti-surveillance stance. A deep dive into AI privacy transparency.

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.

An in-depth analysis of the open-source LLM control plane tool Otari—covering unified multi-model access, cost observability, and security compliance governance to help teams build manageable, production-grade AI infrastructure.

PP-OCRv6 is PaddlePaddle's SOTA-level OCR model. This article covers Docker deployment, invoice recognition testing, and the critical font-missing pitfall causing entire regions to be skipped.

Manticore Search restructured its ONNX inference path to achieve 14x faster text embeddings. Deep dive into batching, session reuse, zero-copy memory, and thread tuning for vector search systems.
Hacked Again: The Root Causes of Ameri…
Why does the U.S. government keep getting hacked? This deep dive covers legacy systems, supply chain risks, Zero Trust architecture, and what breaches mean for citizens.
T3MP3ST: The Open-Source Framework Tha…
T3MP3ST is an open-source offensive security framework that turns coding agents like Claude Code and Codex into autonomous red team tools. Achieves 90.1% pass@1 on XBEN, supports Web pentesting, CVE discovery, and smart contract auditing.

A security researcher demonstrates how to customize Claude into an automated penetration testing system with memory, skills, and a knowledge base — successfully compromising CTF targets and finding real Bug Bounty vulnerabilities.

Deep analysis of multi-agent system cost optimization: why the 'expensive commander + cheap workers' combination outperforms all-frontier fleets, covering decision-intent cost logic and Sonnet 5 tokenizer traps.

Learn how to build a Feishu-style document system with TipTap editor, integrating AI auto-completion, document continuation, and RAG knowledge base Q&A with vector databases and Embedding.

Andrew Ng's AI Prompting for Everyone course reveals four key gaps between AI beginners and power users: deep thinking tasks, context, neutral prompting, and iterative workflows.

A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.

Deep dive into how KV Cache reduces LLM API costs by 20x. From Transformer attention matrix multiplication overhead to prompt caching best practices, understand the fundamentals of AI inference cost optimization.

Based on Andrew Ng's latest AI prompting tutorial, learn the core gaps between beginners and experts: providing context, overcoming sycophancy, iterative workflows, and four key principles.

A complete guide to learning Prompt Engineering, covering LLM selection, prompt writing techniques, zero-shot/few-shot prompting, chain of thought reasoning, and Python API development.

OpenAI's Frontier Evaluations lead Tejal Patwardhan shares insights on O1's jailbreak breakthrough, wet lab experiments beating human baselines, and building the AGI Index—revealing AI capabilities evolving faster than imagined.

Five major AI events on June 17, 2025: Zhipu GLM-5.2 goes open source, DeepSeek gray-tests V4 with $7B+ funding, OpenAI loses $38.5B, SpaceX acquires Cursor for $60B, and Anthropic's Claude 5 saga.

Deep dive into Google I/O 2025's three major Android productivity announcements: Android CLI stable release, Android Skills expansion, and Android Bench model evaluations for the Agentic Development era.

Hands-on comparison of GPT-5.2 Codex vs Opus 4.5 across frontend generation, physics simulation, 3D scenes, and code refactoring, with practical selection advice.