Training a model is like automatic programming, and the key of it is having a well-organized dataset.
If some "opensource" model just have the model and training methods but no dataset, it’s like some repo which released an executable file with a detailed design doc. Where is the source code? Do it yourself, please.
NOTE: I understand the difficulty of open-sourcing datasets. I'm just saying that the term "opensource" is getting diluted.
Because nearly all Chinese people use WeChat, but not all Chinese people use iPhones.
For Chinese people, you could say that WeChat serves as an OS with a greater coverage. It could even be said that WeChat represents half of China's mobile Internet.
Only after acquiring a substantial user base did WeChat launch its "Mini Programs". This feature has further boosted the usage of WeChat. For instance, during the COVID-19 pandemic, certain types of apps forced people in remote areas to start using WeChat. However, the fundamental reason is that the usage rate of WeChat was already high.
This explains why, outside of China, WeChat's "Mini Programs" aren't particularly striking: in those regions, there simply aren't enough WeChat users.
When a company announces layoffs because AI is making things more efficient: people start arguing about whether AI can really replace humans.
If you were in company management and had to do layoffs, which would you choose?