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And is that single NN better at any of these tasks when compared to specialized approaches? Don't get me wrong, I agree that AGI is the end goal, I am just not
by b3kart 7y ago
And is that single NN better at any of these tasks when compared to specialized approaches? Don't get me wrong, I agree that AGI is the end goal, I am just not convinced that trying to solve the general problem (before simpler problems are solved) is the most productive way forward.
To go back to my analogy, physicists don't have a unified theory yet, but have a good understanding of, say, quantum mechanics or planet motion. Solving these sub-problems got them closer to the end-goal, however, and brough a lot of value on the way. Why should we tackle AGI any differently?
- lostmsu 7y agoI would have to find the paper, but generally yes. If I remember correctly one paper presented a network, that was able to recognize giraffes on images, never seeing a giraffe during training. It was trained on embedding sentences and images into the same latent space.