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Is open-source AI moving too fast for safety testing? I've got a weird example here

I was trying to fine-tune a small open-source model (like a LLaMA variant) for a project on medical text summaries. Simple task, right? But it took me 3 full weeks to debug because a newer, faster community build dropped mid-project and broke all my existing code dependencies. One side says move fast and iterate, the other says we need proper validation cycles. Has anyone else dealt with updates racing past your actual work in 2024? What's your take-safety or speed first?
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2 Comments
blair_allen
Move fast and iterate" works fine until your codebase becomes a full time job just keeping up with other people's updates.
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cole_davis47
Hate when you're just tryna fix one thing and three dependencies broke overnight.
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