Open-weight models, open-source frameworks, datasets, and the community building AI in the open.
Open-weight models are often described as generosity toward the community. For the organizations adopting them, the real story is strategic: control, cost, privacy, and not betting your future on a single vendor.
The race is no longer only about bigger models. Small language models that run cheaply — even on a phone — are one of AI's most important trends. Here is why, and what to watch.
Should you build on an open-weight model you run yourself, or a closed model behind an API? A practical comparison across control, cost, capability, privacy, and effort.
Transformers is the open-source Python library that made state-of-the-art AI models accessible to everyone. Here is what it does, who should use it, and where it fits in a modern AI stack.