126 related articles
Tech FrontiersGitHub Universe unveils Agent HQ platform for unified coding agent management, Copilot upgrades with multi-model support. OpenAI completes restructuring, Anthropic tests new model, NVIDIA open-sources AI models.
TutorialsDeep dive into Harness Engineering: how engineers shift from coders to AI supervisors. Learn to solve agent drift, feedback optimization, and build future-proof engineering skills.
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.
Product ReviewsHands-on review of an AI companion chat app featuring unrestricted dialogue, analyzing its roleplay, story interaction, and custom character creation while comparing it to Character.AI and SillyTavern.
Tech FrontiersWeekly AI roundup: Anthropic launches Claude Code review, Google Gemma 4 leaks with MoE architecture, DeepSeek V4 delayed again, Microsoft Copilot Cowork reshapes collaboration, and OpenAI acquires PromptFool.
Product ReviewsFabraix is an adversarial testing tool built by former Meta engineers that uses 1000+ adaptive attack strategies to discover hallucinations, security vulnerabilities, and logic errors in AI Agents through pure black-box testing with zero integration.
Tech FrontiersAnthropic opens its HackerOne bug bounty program to the public, enabling any security researcher to submit Claude vulnerability reports for rewards. A milestone for AI security transparency.
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.
Expert OpinionsDeep dive into AI Agent observability: self-diagnostics, explicit and implicit signal monitoring, trajectory visualization, and root cause analysis for production Agent systems.
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.
TutorialsDeep dive into Microsoft Foundry's Agent observability solution covering multi-Agent tracing, AI quality evaluation, Red Teaming security testing, and automated prompt optimization to bridge the gap between expected and actual Agent behavior.
Product ReviewsEdukaci is an open-source AI tutoring platform for Francophone West Africa, built on Claude with strict Socratic teaching, aligned with Côte d'Ivoire's BEPC curriculum, and integrated with PhET virtual labs.
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.
Tech FrontiersGitHub project CL4R1T4S leaked system prompts from ChatGPT, Claude, Gemini and other major AI products, earning 25,000+ Stars and igniting debate over AI transparency vs. security.
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.