What is MCP? The protocol that lets AI agents use your tools
MCP is Anthropic's open standard for connecting AI assistants to external data and tools. Here's what it does, what it leaves to implementers, and what it changes for developers.
Open Source
Open Source & Developer Tools
What is quantization? How AI models get smaller without getting much worse
Quantization is what lets a 70B model fit on consumer hardware. What it actually is, the math in one paragraph, the methods that matter (GPTQ, AWQ, GGUF, bitsandbytes, FP8), what you lose, and when to care.
Open-Weights Wave: Qwen 3.6, Granite 4.1, HiDream-O1, and the Capability Floor in April-May 2026
Qwen 3.6 (27B dense, 35B-A3B MoE), IBM Granite 4.1 (3B/8B/30B), HiDream-O1 image gen, and Hugging Face ml-intern all shipped in April-May 2026 — all permissively licensed. Inside: benchmarks, hardware, deployment patterns.
DeepSeek V4 on Huawei Ascend: Open Weights, MoE at Trillion Scale, and the Self-Hosting Path
DeepSeek V4 ships under MIT license in two MoE sizes (1.6T Pro and 284B Flash) with 1M-token context. Huawei's Ascend 950 SuperNode handles inference. Here is what readers can do with it — and what comes next.
What is vLLM? The open-source inference server that ate the inference stack
The open-source inference server that ate the inference stack. What PagedAttention actually does, how continuous batching works, performance versus TGI / TensorRT-LLM / SGLang, when to pick it, and the LF AI governance that made it vendor-neutral.