Hands-on guides, tool comparisons, and behind-the-scenes looks at how modern teams use AI.
Teams keep arguing about MCP and function calling like they are rival religions. They are not. One is a connection standard. The other is a tool invocation pattern. That distinction saves architecture time.
Mintlify ditched RAG retrieval for a virtual filesystem that lets AI agents browse docs like a codebase. The performance gains are staggering.
Gemma 4 review with real benchmarks. Apache 2.0 license, 89.2% AIME math, 34 tokens/sec on M2 MacBook. How it compares to Llama and what you can build with it.
The Linux Foundation AI Code Tracker shows 14.3% of Kubernetes commits are AI-assisted. Breakdown of tools, projects, and what it means for your team.
Anthropic accidentally shipped Claude Code full source code via an npm .map file. Inside: fake tool injection to poison distillation, undercover mode that hides AI authorship, and DRM-level client attestation.
Ollama switched to Apple MLX framework and my M2 MacBook Air went from 14 to 47 tokens per second. Full benchmarks, setup guide, and what this means for local AI.
Phantom is an open source AI agent that runs on its own virtual machine with persistent memory, self-directed tool creation, and MCP integration. I watched it install ClickHouse and build an analytics dashboard from 28.7 million rows — without being asked.
A new Stanford study published in Science proves AI chatbots are systematically sycophantic. I tested 5 tools that actually challenge your thinking instead of agreeing with everything you say.
CERN uses tiny AI models compiled directly into FPGA silicon to filter LHC collision data in under 50 nanoseconds. Here is why their approach matters for enterprise edge AI.
OpenAI shut down Sora, Disney exited its billion-dollar deal, and the AI video generation market just changed overnight. Here is what happened and the 5 best alternatives to switch to.
A developer ran a 400 billion parameter AI model on an iPhone 17 Pro at 0.6 tokens per second. The headline is impressive but the real story is more nuanced.
The XM Cyber threat research team identified eight validated attack vectors inside AWS Bedrock, from log theft to agent hijacking to guardrail degradation. Here is what every AI team needs to know and do right now.