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Fair, I didn't mean to dismiss the impact of tokenization as such. But tokenization is still a process that's figured by another DL model. Human "insight" does
by famouswaffles 3y ago
Fair, I didn't mean to dismiss the impact of tokenization as such.
But tokenization is still a process that's figured by another DL model. Human "insight" doesn't produce tokenization as it does. Another model trained on [insert language(s)] text figures out how best to break sentences into token parts.
That said, these things are a spectrum. I don't think, "no tips from biology whatsoever" or "no constraints at all" is really what Sutton had in mind. The less of it the better is the general idea.
- Retric 3y agoGood point. I find it really reminiscent of how Alpha Zero ignored essentially all human knowledge about chess play, but still depended on insights into chess AI / search algorithms. I think of deep neural networks as replicating long term memory/reflex rather than thought. I don’t know if that’s quite it, but they excel at a lot of very difficult AI problems when paired with just a tiny bit of handholding. Some of that might go away with even more compute, but I think approaching AGI is going to take more than just even more compute.