> There is no clear minimal viable product because the goal is to create general intelligence. [...] I would make the argument that there is an advantage in what I'm proposing.
Then set the MVP to some project that partially solves some small aspect of what you general intelligence is and proves that your approach is so much better than what other labs are doing.
If you succeed on this, you can iterate.
> if we do allow for a fully open research platform (open training/models/communication) and given the goals the computational costs are not quite what they are for OpenAI nor DeepMind.
Then work on a way to decrease these computational costs by magnitudes. Or find a way how even volunteers with "skinny" GPUs in their computers can still support your computations via crowdcomputing.
Perhaps this is even the more important problem to solve ...
Then set the MVP to some project that partially solves some small aspect of what you general intelligence is and proves that your approach is so much better than what other labs are doing.
If you succeed on this, you can iterate.
> if we do allow for a fully open research platform (open training/models/communication) and given the goals the computational costs are not quite what they are for OpenAI nor DeepMind.
Then work on a way to decrease these computational costs by magnitudes. Or find a way how even volunteers with "skinny" GPUs in their computers can still support your computations via crowdcomputing.
Perhaps this is even the more important problem to solve ...