I'd say he is spot on with the analogy. He's describing a situation where the actual solution to the problem at hand (a quality Voice experience) is just the op

I'd say he is spot on with the analogy. He's describing a situation where the actual solution to the problem at hand (a quality Voice experience) is just the opening of a door to a much more complex charade than originally understood. I spent a decade becoming an expert at creating digital doubles of people - where the term "uncanny valley" originates. In the 3D-graphics-person situation it is very similar. Once one develops a method of generating a likeness of someone, it's not right because the model does not have the real person's hair; then after creating their hair, the human model needs clothing models of the style that person would actually wear. But it is still not right because the character does not exhibit the specific facial expressions the real person uses that are characteristic of their personality. After that is their characteristic body movements, how they stand, sit, how they idle. This is very similar to the issue with quality Voice - it is not just creating a Voice, just like it is not just creating a 3D model, but it is in fact creating a model of reality the software holds, which is then query-capable by external humans and the software model itself as that self-conversation within the software is necessary to fulfill the simulation, and finally generate an experience piercing the uncanny valley for both voice and avatars. But it is going to require 2-200 times more computational capacity than we are throwing around now. The devil is in the details.