I feel like DeepMind has a disproportionately large scientific impact relative to its resource pool. How would one (or a group) go about replicating its success?
I think the key here to replicating the success is the deployment of deep learning effectively. But I would argue that deepmind's resource pool is immense, it's backed by Google. The resources of GPU's (and more advanced TPU's) are in abundance... not to mention the many brilliant PhD scientists who work there.