a ‘major training run’ only becomes major after you sample from it iteratively every few thousand steps, check its good, fix your pipeline, then continue

almost by design, major training runs don’t fail

if I had to guess, like most labs. they’ve probably had to reallocate more time and energy to their image models than expected since the AI image editing market has exploded in size this year, and will do video later

the Chinese models are great, but no serious enterprise developer is going to bet their image workloads at scale in production on Chinese models if the market evolves anything like past developer infrastructure

in fact, it seems like BFL has benefited a lot by becoming the go-to alternative for big enterprise customers who don't want to be dependent on google