Well I guess I have some citations to read later, but intuitively I just have a hard time believing that lack of training data is the problem. There's so incredibly much data available on the internet. If that was the limiting factor, it would just be a matter of throwing more data at T to increase the amount of information in M, but that doesn't help if we haven't found the right machine learning algorithm L. And searching that space is the real challenge of AI. To search that space we either need human experts, huge amounts of computational power to brute force, or some combination thereof. We've tried human experts alone for decades, without much success, so I think it's likely that we will need some computational assistance to find the right algorithms. That's why AI people love throwing around graphs of Moore's law.