545 related articles

Google releases Gemini 3.7 Flash for coding and Agent optimization while OpenAI launches GPT-5.6 Ultra-Fast mode with 14x speed gains. AI open source shifts from open models to open ecosystems.

Deep analysis of a security paper revealing architecture-level vulnerabilities in Anthropic, OpenAI, and Google's encrypted reasoning chains, covering decryption jailbreak attacks, distillation theft, privacy leaks, and Agent prompt injection.

ThoughtDAG replaces linear LLM conversations with editable directed acyclic graphs (DAGs), enabling branching, pruning, and merging of context for better AI interactions.

Deep dive into the trending GitHub project OpenMontage—the world's first open-source agentic video production system with 12 pipelines, 100+ tools, and 700+ knowledge files.

Anthropic open-sourced anthropics/skills on GitHub, offering standardized, pluggable AI Agent skill packages. With 160K+ stars, it enables modular agent capability reuse and lowers development barriers.

Exploring the real effects and limitations of embedding AI agent instructions in project documentation (like AGENTS.md), from prompt engineering to documentation engineering best practices.

A deep dive into LLM applications in cybersecurity offense and defense, covering AI code auditing, automated vulnerability discovery, CTF Agents, and more, with tool selection guides and compliance guidelines.

SpaceX acquires Cursor for $60B. How did this AI coding tool evolve from a VS Code fork into a software development operating system? Deep analysis of Agent orchestration, Origin hosting, and model strategy.

Complete guide to deploying Qwen3 27B Q4 quantized model on a single RTX 4090, covering VRAM calculation, K8V4 asymmetric KV Cache quantization, 128K context configuration, and speed analysis.

A detailed explanation of word embedding principles, from one-hot encoding to contextual embeddings, covering embedding matrices, positional encoding, and RAG applications for LLM developers.

Deep dive into Tencent's open-source AI-Infra-Guard full-stack AI red teaming platform, covering Agent scanning, MCP protocol scanning, LLM jailbreak evaluation, and more.

Sentrint is a security scanner designed for LLM-generated code, detecting secret leaks, hallucinated dependencies, and injection vulnerabilities in AI code.

Deep analysis of the LiteLLM PyPI supply chain poisoning: how a malicious .pth file silently stole API keys, cloud credentials, and SSH keys in 40 minutes, plus investigation and defense strategies.

Deep dive into 5 core principles for building AI Agent Skills: from description triggers and real experience, to context window optimization, deterministic scripts, and security review.

A systematic guide to AI Agent development covering LLM basics, Prompt Engineering, RAG, LangChain, task automation Agents, and multi-agent collaboration for beginners.

A deep dive into the Vibe Coding learning path covering Cursor, Claude Code, Codex and more—from foundational AI programming thinking to hands-on projects for complete beginners.

Deep analysis of the viral "AI autopilot bug hunting for five-figure income" narrative, examining how SRC platforms actually work, AI's real role in vulnerability discovery, and the traffic schemes behind "packaged Skills."

A beginner's guide to SRC bug bounties: learn how to find business logic, information leakage, and weak credential vulnerabilities using Burp Suite without coding skills.

RL training for LLM reasoning only changes 1-3% of output tokens, with researchers claiming 1000x compute savings. We analyze the deep implications, non-uniform token distribution issues, and the gap between benchmarks and real usability.

An unconventional AI project lets all users share one memory, sparking debate on privacy, security, and collective intelligence. We analyze its design, risks, and future hybrid architectures.