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Thank you. A few thoughts. 1. Legal clearly hasn't stopped anyone so far. And probably won't in the future if there is economic value. So I suggest we take thi
by georgestrakhov 2y ago
Thank you. A few thoughts.
1. Legal clearly hasn't stopped anyone so far. And probably won't in the future if there is economic value. So I suggest we take this outside the equation for now. Obviously it will be a thing to take care of, but I'm asking theoretical questions.
2. Effort vs. reward. Is it just about this? Or is there something more? I.e. is there a clear plateau or is it just diminishing returns (in which case sufficiently low cost of energy solves it)
3.Robots: yes on a mechanical level. But robots don't need to be mechanically elegant and Uber precise in order to be useful.
- A_D_E_P_T 2y agoWRT 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.