A visual makeover is great but what happens when millions of people fall in love with virtual characters who seem to deserve that love?
In a nutshell, (with my memory of 30-40 years), the more and more realistic a scene becomes, the less the brain applies it to ourself. It becomes this definite place, definite person, rather than ourself or our surroundings projected into other characters.
All these scenes, that I guess are amazing, they all are creepy to me.
I am more interested in how to make consistent "participants" and "environment" with multiple clips so they look like one longer clip.
Will that require same dev/coding harness and spec-kit-like engineering flow?
Like create a spec on how a movie will look like, feed contexts, create tasks so that multiple clips look congruent?
The original Genie was a great piece of work with a real sense of purpose - to enable agents to learn about the real world in the way Dreamer or Schmidhuber's paper sketched. But now most of the people that drove that mission have left Deepmind (Jack Parker-Holder, Tim Rocktaschel, Demis) and it's become this instead.
One possible use for these is to facilitate lab -> this -> real world for robot models. Basically better than lab / algorithmically designed environments and cheaper / easier to train on than real life. Something that "looks" like real life and can scale, to apply RL for robotics to.
Anyway, let's take your theory to its logical conclusion: the product development between real and simulated soft tissue behavior is much bigger than Exponential Time being a hypothesis and being proven. There isn't some effective acceleraltruist path here. Dario Amodei was a biotech dropout. The thing you are betting on which Google is not doing anyway, maybe they will destroy the descriptive single cell sequencing paper mill, but they're not going to be able to simulate the fat inside a BMI 30 abuela undergoing a gallbladder removal.
It's a dystopian business use case that I hope will get obliterated in the near future as the generations that believe in this stuff and are fascinated by it age out of the population.
It's easy for them to show demos of abstract things because they don't necessarily have to follow real-world rules, but anything modeled after real world falls short of expectations.