Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 - fix(ci): hydrate full testbox live auth · openclaw/openclaw@a632300 Read more ›
Key Takeaways Security teams cannot patch everything. Published vulnerabilities crossed 40,000 in 2024 and climbed past 48,000 in 2025 (CVE Program / NVD data). The challenge isn’t finding vulnerabilities. It’s knowing which ones matter most. That’s why choosing the right vulnerability management tool is critical: the best platforms prioritize real risk instead of overwhelming teams […] The post appeared first on . Read more ›
Your AI agent spent $3000 this month. Which activities consumed that budget? agentpprof applies the flamegraph paradigm to AI agent traces, mapping natural language prompts to semantic tags and aggregating them like a CPU profiler. This post explains why existing observability tools fail at budget attribution and how semantic flamegraphs restore aggregation for agent workloads. Read more ›
LLMs can't tell who's speaking. We show they identify roles by writing style, not tags, and exploit this with CoT Forgery, injecting fake reasoning that models mistake for their own thoughts. Read more ›
CIS Controls Accreditation is raising global cybersecurity standards, setting a trusted benchmark for excellence, resilience, and best practices. Read more ›
As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs generate tokens sequentially… Read more ›
A new LTS-144 version 144\.0\.7559\.256 \(Platform Version: 16503\.88\.0\), is being rolled out for most ChromeOS devices\. This version includes selected security fixes including: 519258799 High CVE-2026-12034 Insufficient validation of untrusted input 499449324 High CVE-2026-7922 Use after free in ServiceWorker 523677844 Critical CVE-2026-13033 Out of bounds read in Blink\>InterestGroups 506653647 High CVE-2026-9970 Use after free in WebGL 511765713 High CVE-2026-10969 Insufficient validati... Read more ›
发布时间：2026 年 6 月 1 日，星期一 · 26 分钟阅读 Machine Learning Transformers LLM Neural Networks AI 本文带你走一遍 LLM 的工作原理。现代 LLM 大多是由 transformer 块反复堆叠而成的，因此理解了 transformer 机制，你就掌握了大部分。 我将覆盖现代基于 transformer 的 LLM 内部 Read more ›
A Retrieval‑Augmented Generation (RAG) system follows a predictable, end‑to‑end workflow that transforms raw documents into a system… Read more ›
AI Red Teaming tests AI systems by simulating real-world adversarial attacks. Learn about the leading AI red teaming tools and how they detect AI vulnerabilities. Read more ›
Chaos engineering & reliability testing for multi-agent AI systems - surajkumar811/swarm-test Read more ›
EdgeOne Pages 已正式升级为 EdgeOne Makers！ 除了原有的 Web 应用托管能力外，我们新增了 AI Agent 托管能力，帮助开发者将 GitHub 上的 Agent 项目快速部署上线，获得可直接分享给用户体验的 Demo 站点。… Read more ›
OpenAI boardmember Zico Kolter and Gray Swan CEO Matt Fredrikson join swyx to explain why AI security is not just “cybersecurity with AI” Read more ›
Explainable AI (XAI) is a branch of artificial intelligence that focuses on making AI models understandable and transparent to humans. It… Read more ›
The unified AI inference stack - from custom GPU kernels to production cloud serving on NVIDIA and AMD. 2x performance. Top open models. Open source stack. Read more ›
AI-Gateway reverse proxy that uses semantic caching and aims to reduce LLM API bills and token costs by 40-70%. - Arnab758/ai-gateway Read more ›
OpenClaw plugin that gives agents MemGPT-style memory: tiered core/archival/recall storage, self-directed memory operations via tool calls, memory-pressure warnings, and recursive summarisation. In... Read more ›
Large Language Models (LLMs) achieve strong performance across a growing range of domains, yet their scale poses deployment challenges in applications where latency and cost constraints are critical. This paper derives empirical scaling laws for domain-specific LLM compression, quantifying how in-domain and general knowledge performance scale with dataset size, compression ratio, supervision format, and iterative pruning schedule. Using quantita... Read more ›