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AI Agents in Cyber Defense vs Offense: Why the Strongest Model Wins
Attackers now use agentic AI to find and exploit flaws at scale. Here's why defenders need the strongest models available, not weaker ones.
PHP, eMudhra, LightLLM: Inside October's AI-Driven Security Breaches
PHP vulnerabilities, weak eMudhra keys, and a LightLLM supply-chain hack defined a brutal October. Here's what happened and why AI changed the stakes.
AI Is Making Kernel Exploit Creation Faster, Says Linux Maintainers
Kernel maintainers say LLMs now speed up both vulnerability discovery and exploit writing, raising new open source security response concerns.
CLI-Anything: Turn Any App Into a CLI for Claude Code and Codex
CLI-Anything auto-generates command-line interfaces for GIMP, Blender, LibreOffice and more, giving AI coding agents real tool access.
Dessa: Block's Unreleased Full-Duplex Voice AI, Explained
Dessa is Block's unreleased speech-to-speech model trained on audio alone. Here's what it claims and how natural it actually sounds.
Harness² Explained: How Self-Evolving AI Agents Rewrite Their Own Tools
Harness² lets AI agents rewrite their own tools, skills, and control loop mid-task. Here's how the self-evolving harness works and where it fails.
How LLM Inference Works: Prefill, Decode, and the KV Cache
A technical breakdown of how an LLM request moves through routing, prefill, decode, and KV caching, and why inference costs dwarf training over time.
Linus Torvalds on AI-Written Linux Kernel Patches: Inside the Debate
How the Linux kernel maintainer summit tackled LLM-generated patches, the Sashiko review bot, and why Torvalds now won't code without an LLM.
NVIDIA Nemotron 3.5 Bolt E4B: Benchmarks vs. Hands-On Reality
NVIDIA's 4B small model claims speed and smarts gains over rivals. Here's how those benchmark claims hold up against coding, math, and language tests.
Your Claude and Codex API Keys Are a Target. Here's How to Protect Them
A practical guide to auditing connected apps, rotating Claude and Codex API keys, and using AI itself to find exposed secrets after recent breaches.
How to Run Spark-X2.6-4B Locally: Ollama, LM Studio, MLX, and More
Run Spark-X2.6-4B locally with Ollama, LM Studio, llama.cpp, MLX, or SGLang. A practical setup guide for on-device AI agents.
Why AI Inference Costs Matter More Than Training Costs
DeepSeek's own numbers show inference can outweigh training compute 12x over a model's life. Here's why that changes how you pick models.
How to Set Up an AI Daily Brief With Grok Bot or ChatGPT
A practical guide to building a daily brief agent with Grok Bot, ChatGPT dots, and connectors like Apify, based on real workflows.
Black October: Inside the AI-Driven Cyberattack Wave Hitting the Web
A PHP flaw, a Railway breach, and bank account intrusions: how autonomous AI agents turned October into a cybersecurity reckoning.
What Is Role Engineering? Managing AI Agents Like New Hires
Role engineering replaces prompt engineering: give AI agents goals, context, and examples like onboarding staff, not scripting instructions.
How to Scale an AI Software Factory With Port's Governance Layer
How to govern a scaled AI software factory using Port's skill registry, agent registry, context lake, and scorecards for enterprise reliability.
Claude Duet: What Anthropic's Proactive AI Assistant Actually Does
Anthropic's Claude Duet proactively flags tasks, pulls data from your tools, and drafts messages for you. Here's how it works and who can get it.
Claude Duet vs Muse, Grok Bot, and Dots: Which AI Agent Fits You?
A hands-on comparison of Claude Duet, Meta Muse, xAI Grok Bot, and OpenAI Dots to find the always-on AI agent that fits your workflow.
Claude Opus 5.5 Workflow: Five Habits for Long-Running Coding Agents
A practical workflow for Claude Opus 5.5 long tasks: simple prompts, benchmarks, tests, design references, and multi-agent orchestration.
How Much Does Running Claude AI Agents Really Cost?
A breakdown of what drives Claude agent token spend, plus prompt caching, batch APIs, and model-matching tactics to keep autonomous sessions affordable.
Kimi K3.1 Pro: What It Can Actually Build in Blender, Unreal, and CAD
Kimi K3.1 Pro claims strong 3D and coding skills in Blender, Unreal, and CAD. Here's what its real demos show, pass and fail.
Kimi K3.1 Pro Benchmarks: Does It Really Beat GPT-6 Astra?
Kimi K3.1 Pro claims to beat Opus 5.5 and GPT-6 Astra on paper. Independent tests tell a more complicated, cheaper story.
Is Kimi K3.1 Pro Distilled From Claude or GPT? The Evidence So Far
Moonshot's Kimi K3.1 Pro beats top US models on paper. Here's why some suspect distillation, and what's actually verifiable.
Kimi K3.1 Pro Pricing: How It Stacks Up Against Opus 5.5 and GPT-6 Astra
Kimi K3.1 Pro's API pricing runs $2 input/$10 output per million tokens, far below Opus 5.5 and GPT-6 Astra. Here's the real cost picture.