> Only if it is truly open source (open data sets, transparent curation/moderation/censorship of data sets, open training source code, open evaluation suites, and an OSI approved open source license)
You’re missing a then to your if. What happens if it’s “truly” open per your definition versus not?
I think you are asking what the benefits are? The main benefit is that we can trust what these systems are doing better. Or we can self host them. If we just take the weights, then it is unclear how these systems might be lying to us or manipulating us.
Another benefit is that we can learn from how the training and other steps actually work. We can change them to suit our needs (although costs are impractical today). Etc. It’s all the usual open source benefits.
You’re missing a then to your if. What happens if it’s “truly” open per your definition versus not?