zlacker

All of these AI findings are cool in theory. But until its accessible to some decent amount of people/customers - its basically useless fluff.

You can tell me those pictures are generated by an AI and I might believe it, but until real people can actually test it... it's easy enough to fake. This page isn't even the remotest bit legit by the URL, It looks nicely put together and that's about it. Could have easily put together this with a graphic designer to fake it.

Let be clear, I'm not actually saying it's fake. Just that all of these new "cool" things are more or less theoretical if nothing is getting released.

>>Shakat+(OP)
Inference times are key. If it can't be produced within reasonable latency, then there will be no real world use case for it because it's simply too expensive to run inference at scale.

>>cellis+G4
There are plenty of usecases for generating art/images where a latency of days or weeks would be competitive with the current state of the art.

For example, corporate graphics design, logos, brand photography, etc.

I really do think inference time is a red herring for the first generation of these models.

Sure, the more transformative use-cases like real-time content generation to replace movies/games, but there is a lot of value to be created prior to that point.

>>cellis+G4
There's been much prior work done to take these models down from datacenter size to single GPU size. Given continued work in that area and improving GPU performance it seems like it's just a matter of years before inference can be cheap and local for even the most impressive of generation.