Gemma 4 made local LLMs feel practical, private, and finally useful on everyday hardware.

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector database and RAG pipeline.

I tried training a classifier, then found a better solution.

Shadow AI 2.0 isn’t a hypothetical future, it’s a predictable consequence of fast hardware, easy distribution, and developer ...

Learn how to deploy models like Sarvam 30B and Param-2-17B on a personal AI supercomputer in an upcoming technical session ...

Unsafe defaults in MCP configurations open servers to possible remote code execution, according to security researchers who ...

A unique business model for the grounds management sector, B Corp membership, ecologically minded founders, and rapid growth ...

Tom Fenton reports running Ollama on a Windows 11 laptop with an older eGPU (NVIDIA Quadro P2200) connected via Thunderbolt dramatically outperforms both CPU-only native Windows and VM-based ...

You gotta build a "digital twin" of the mess you're actually going to deploy into, especially with stuff like mcp (model context protocol) where ai agents are talking to data sources in real-time.

With DeerFlow, ByteDance introduces a super-agent framework that allows for secure and parallel execution of agents through ...