#CANN
2680 related articles
·2 min
Visa Harness: An Open-Source Security Testbed for Auditable AI Vulnerability Scanning
Visa's open-source Agentic security testbed Harness orchestrates threat modeling, vulnerability research, adversarial reproduction, and structured reporting into an auditable pipeline — not just a scan button.
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·2 min
Behind the Midjourney Scanner: The Data Infrastructure Powering AI Image Generation
A deep dive into the Midjourney scanner workflow — how AI image tools convert physical materials into high-quality training data, and what it means for data ethics and AI development.
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·1 min
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Source material provided (song lyrics) is unrelated to the target technical topic. Unable to generate an AI Agent / GPT architecture article. Please resubmit with valid technical content.
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·3 min
SkillSpector: NVIDIA's Open-Source Security Scanner for AI Agent Skills
SkillSpector is NVIDIA's open-source AI Agent Skill security scanner that detects data exfiltration, malicious commands, and overly broad permissions before installation.
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·3 min
GitHub Uses LLM Reasoning to Reduce Secret Scanning False Positives: AI-Driven DevSecOps in Practice
GitHub integrates context-aware LLM reasoning into Secret Scanning to dramatically reduce false positives, combat alert fatigue, and boost security alert credibility for developers.
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Expert Opinions·3 min
Thinking Can Be Outsourced, Understanding Cannot: The Most Overlooked Cognitive Blind Spot of the AI Era
AI can replace thinking but not understanding. This article explores the key difference, reveals three cognitive traps for AI users, and offers practical ways to preserve your understanding.
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·3 min
The Depth Perception Challenge for Transparent Objects: How LingBot-Depth Breaks Through with Masked Depth Modeling
Depth perception for transparent and reflective objects has long been a core challenge in robotic grasping. LingBot-Depth uses masked depth modeling to turn sensor failure into supervisory signals, inferring glass depth from RGB context.
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·2 min
Why 'Clean Code' Author Uncle Bob No Longer Reviews AI-Generated Code Line by Line
Clean Code author Robert C. Martin no longer reviews AI-generated code line by line, shifting to test-driven verification. We explore the logic, debate, and implications.
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·2 min
Rootless Containers: A Practical Guide to More Secure Service Deployment
A deep dive into Rootless Containers: technical principles, security advantages, and production practices. Learn how user namespaces and daemonless architecture reduce container escape risks.
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·2 min
The Invisible Prompt Trap: How a Professor Caught 32 Students Cheating with AI in One Move
A professor embedded invisible prompts in assignments, catching 32 of 35 students using AI to cheat. Learn how this prompt injection trap works and what it means for education.
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·2 min
Office Snacks Reveal Corporate Health Culture: The Management Truth Hidden in Your Break Room
Office break room snack choices reveal a company's true attitude toward employee health. From candy-filled kitchens to thoughtful nutrition, this article analyzes the cost logic, cultural signals, and practical insights for managers and job seekers.
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·4 min
A Beginner's Guide to AI Agents: Core Principles and Learning Paths Explained
Learn AI Agent core principles from scratch: understand how Agents differ from LLMs, their execution mechanisms, why rule design matters, and find the right learning path for your goals.
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·3 min
From RAG to Agent Tuning: A Complete Guide to Deploying LLM Agents
A deep dive into LLM Agent frameworks covering RAG, Agent core components (tools, memory, planning), and Agent Tuning workflows with cost considerations for production deployment.
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·4 min
What Is the True Nature of Large Language Models? A Super Compressor Analogy to Help You Fully Understand
Large models aren't search engines — they're more like super compressors. This article explains how LLMs compress data to learn semantic patterns, and explores the phenomenon of intelligent emergence.
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·3 min
From Frontend to Agent Development: A Complete 6-Week Systematic Learning Path
A 6-week systematic learning path for frontend engineers transitioning to AI Agent development, covering core architecture, ReAct, multi-agent collaboration, RAG integration, and deployment.
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·3 min
Open Archiver v0.5.2 Deep Dive: A Comprehensive Look at the New Features of This Open-Source Email Archiving Tool
Deep dive into Open Archiver v0.5.2: advanced search, index rebuilding, PST/Mbox import fixes, and more features for self-hosted email archiving and compliance.
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·3 min
Small Site Besieged by AI Crawlers: Under 100 Images, 266K Crawl Requests
A Piwigo gallery with under 100 images received 266K AI crawler requests in 24 hours. Analysis of why gallery CMS becomes a bot trap and how to defend against it.
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·3 min
Deconstructing Agents: Task Decomposition, Context Compression, and the Case Against Heavy Frameworks
A deep engineering analysis of Agent internals: how LLMs decompose tasks via tool calling, why context compression and memory are essential, and why solo developers should avoid heavy frameworks.
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·3 min
Poolside Laguna Model Launch: Can Silicon Valley's Open-Source Push Catch Up to China's AI?
Poolside launches Laguna open-weight model after 18 months of silence, pitting 118B parameters against Kimi K3's 2.8 trillion. Can Silicon Valley's open-source push close the gap with Chinese AI?
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·3 min
AI Weekly: Sandbox Escape Sparks Safety Legislation, Kimi Open-Source Triggers Geopolitical Dynamics
Deep analysis of five key AI events this week: OpenAI sandbox escape driving safety legislation, Kimi K3 open-source sparking geopolitical debate, Gemini Flash full rollout, Anthropic's $1.5B copyright settlement, and Chinese models' mobile expansion.
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