The Next Platform's latest analysis takes up the growing conflict between open-source, open-weight, and closed AI models. The article frames the situation as a war, arguing that each camp wants the 'open' label to mean something different.
Open-source, in this telling, represents the most permissive end: code, data, and weights are all available. Open-weight models sit in the middle, offering the trained parameters while holding back training data and code. Closed models are at the other extreme, with no public access beyond a proprietary interface.
The piece sees the battle as more than semantics. It's a fight over who can use, audit, and profit from AI systems. The distinctions will affect developers, companies, and the broader infrastructure they run on.