Meta published Muse Spark Open, a mixture-of-experts model with roughly 816B parameters, 42B active per token, multimodal input and a 1M-token context window.
AI Desk1 min read
EleutherAI's 825 GB Pile combined 22 diverse text sources into an open training set. What it contained, why diversity mattered and the copyright questions it raised.
AI Desk3 min read
Free and open-source options for chat, image generation, transcription, automation and coding assistance — what they are, what you need to run them, and the trade-offs.
AI Desk3 min read
Install Ollama, download an open model, chat in the terminal or a web interface, pick a model that fits your memory and use the local API from your own code.
AI Desk3 min read
From Hugging Face Transformers to llama.cpp, vLLM, Ollama, LangChain and ComfyUI: the open-source projects that form the backbone of today's AI development.
AI Desk3 min read
Open-weight models bring transparency, competition and access; closed models offer control and safety layers. Why framing it as a binary fight serves no one.
AI Desk3 min read
Where to learn, share and collaborate on AI: Hugging Face, Kaggle, research forums, open-source collectives, Discord and Reddit communities, meetups and affinity groups.
AI Desk3 min read
A deep dive into open-weight versus closed AI models: definitions, arguments on innovation, safety and competition, business strategies and the policy debate.
AI Desk5 min read