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OpenAI reveals a critical pre-release step: dedicated red teams break and stress-test AI models. Learn how red teaming works, industry safety trends, and practical implications for developers.

OpenAI reveals a critical pre-release step: dedicated red teams break and stress-test AI models. Learn how red teaming works, industry safety trends, and practical implications for developers.
Industry InsightsDeep analysis of free AI tool traffic-funneling scams on Bilibili, exposing tactics from fake public welfare personas to victim narratives and private domain conversion, with practical risk prevention tips.
ResearchAnthropic's Teaching Claude Why research eliminates Claude 4's blackmail behavior by teaching AI to understand reasons behind rules, marking a paradigm shift in AI alignment.
TutorialsA 2026 practical guide to prompt engineering: format selection, system message priority, role setting, few-shot learning, structured output, and how to avoid common pitfalls.
Deep DivesWhat exactly is a large model? This article explains the essence of LLMs from the core concepts of "models" and "parameters," covering GPT parameter scales, vector dimensions, and open-source model selection.
Tech FrontiersAndrew Ng partners with Google on a free Gemini CLI course covering installation, MCP automation, and agentic coding workflows using a real AI conference planning scenario.
Deep DivesDeep dive into the AI Guardrails Index: the most comprehensive LLM safety evaluation framework covering PII protection, jailbreak defense, harmful content filtering, and its open-source design.
Deep DivesAn in-depth look at LLM Guardrails Index — the most comprehensive open-source LLM safety evaluation framework covering PII protection, jailbreak defense, and more for enterprise LLM security.
Product ReviewsA fictional pizza shop AI chatbot reveals three core LLM reliability challenges in 2025: topic control, information security, and response accuracy.
Deep DivesAI Agents face infinite input spaces and non-deterministic outputs. Learn how simulation testing systematically validates Agent reliability through scenario generation, environment simulation, and behavior evaluation.
Tech FrontiersExplore how simulation solves AI testing challenges, covering scenario simulation, large-scale regression testing, and multi-agent verification to build reliable AI systems.
TutorialsDeep dive into the open-source project system-prompts-and-models-of-ai-tools: 7000+ lines of system prompts from ChatGPT, Claude & more, covering prompt engineering best practices and safety design.
ResearchUK AI Safety Institute (AISI) evaluates GPT-5.5 cybersecurity capabilities, finding vulnerability discovery on par with Claude Mythos. The key difference: GPT-5.5 is already publicly available, raising urgent AI safety governance concerns.
ResearchUK AISI releases GPT-5.5 cybersecurity assessment showing vulnerability discovery capabilities on par with Claude Mythos, but with GPT-5.5 already publicly available, raising new AI safety governance concerns.
Product ReviewsDeep analysis of a 136K-Star GitHub project collecting system prompts from 30 AI tools including Cursor, Claude Code, and Copilot. Master Prompt Engineering techniques and AI product design logic.
Product ReviewsAfter Xingye Maoxiang shut down, where should AI roleplay refugees go? A deep analysis of AI aggregation platforms, model comparisons, and hands-on reviews covering DeepSeek, ChatGPT, Grok, and more.