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These are very impressive! It looks like it gets the concepts, but lacks global coherency. 

Could anyone comment on how far we are from results of similar quality as the training set? Can we expect better results just by scaling up the generator or CLIP?

There is a paper describing the architecture https://arxiv.org/abs/1812.08989

It looks like the system is comprised of many independent skills and an algorithm to pick which skill to use at each state of the conversation. Some of the skills use neural nets, like a CNN for parsing images and a RNN for completing sentences but the models look relatively small. 

Could you elaborate on step 4? How can you buy 10 shares of each bucket if you only have $10? Isn't the total cost 14.80 * 10?

There is a very extensive discussion of a UPRO/TMF strategy here. One thing to note is taxes severely decrease the returns of strategies which require frequent re-balancing.

Have you rechecked the data recently?

I see, thanks for clarifying!

Why do you think "lesser" AI being transformative is more worrying than AGI? This scenario seems similar to past technological progress.

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