One of the things that I enjoy the most about running local AI models is the sense of ownership that comes with them. They’re private, efficient, and becoming increasingly capable iteration after iteration while hardware requirements continue to become more modest over time. But after spending a few months with Gemma 4, I ran into a problem that needed to be addressed if I wanted to rely on it at all. I first noticed it about a week ago when I asked it to summarize some of the announcements coming out of Computex 2026, and the response, while convincing, completely hallucinated most of the details, to the point that some of the products it described simply didn’t exist.