alt Hacker NewsI have yet to be convinced the broader population has an appetite for AI produced cinematography or videos. Independence from Nvidia is no more of a liability than dependence on electricity rates; it's not as if it's in Nvidia's interest to see one of its large customers fail. And pretty much any of the other Mag7 companies are capable of developing in-house TPUs + are already independently profitable, so Google isn't alone here.
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If you think they are going to catch up with Google's software and hardware ecosystem on their first chip, you may be underestimating how hard this is. Google is on TPU v7. meta has already tried with MTIA v1 and v2. those haven't been deployed at scale for inference.
It's in Nvidia's interest to charge the absolute maximum they can without their customers failing. Every dollar of Nvidia's margin is your own lost margin. Utilities don't do that. Nvidia is objectively a way bigger liability than electricity rates.
I think it will be accepted by broader population. But if generation is easy and cheap I wonder if there is demand. And I mean as total demand in the segment. Will there be enough impressions to go around to actually profit from the content. Especially if storage is also considered.
The video data is probably good for training models, including text models.
Given the fact that Apple and Coke but rushed to produce AI slop, and the agreements with Disney, we are going to see a metric fuck-ton of AI-generated cinema in the next decade. The broader population's tastes are absolute harbage when it comes to cinema, so I don't see why you need convincing. 40+ superhero films should be enough.
The value of YouTube for AI isn't making AI videos, it's that it's an incredibly rich source for humanity's current knowledge in one place. All of the tutorials, lectures, news reports, etc. are great for training models.