WRT 2: I do indeed think that it's mostly about effort vs. reward, and that sufficiently low cost of energy, and sufficient time resources, would solve it. Bu

WRT 2: I do indeed think that it's mostly about effort vs. reward, and that sufficiently low cost of energy, and sufficient time resources, would solve it. But the cost of energy would have to be near zero, and the time allotted would have to be very generous. This is because most mic/webcam/etc. data is of very poor quality -- probably poor enough to actually poison datasets -- so it would need to be mercilessly cleaned up, and then laboriously chunked and sorted. When all's said and done, you're going to devote tremendous labor to cutting >99% of your data, and more labor in categorizing it. It might be more fruitful to develop a model that creates new training data from internet-derived data. This is a lot more complicated than it may sound, and I don't think I ought to speculate here as to what might be involved, but it still seems more viable than sorting through a low-quality material library of babel.