I am in a small room and see a large piece of stairs in the middle of the house. There was, oddly, one point in the training where the neural net was obsessed with going to the bathroom. I look annoyed and walk around the strip below from my back and the spirits will be awkward. I hear the room I have a new deal of ship by which they are washed to go downstairs the structure and they’d be driving through a short table, either someone else too and we have to fix us. I encourage the old man with a loud sandwich of soap deep signs and a simple juice in its face of mine in a box of wool dog, feeling suspected! I see a cat on the floor where there are two eels (here east who would grow on the floor). He points off Father Andrew and opens the gun. Of course I help him the kitten through his nose to take a plug and nonchalantly look for a commute we can see her company.
I see four quite small people in a huge tank with all kinds of old brass grape liquid on his hair and a red neck like a maze. But, like most text-generating neural nets, it has a limited memory, as you can see. (It doesn’t do capital letters, though, so I did those for it.) The trained neural net stuck mostly to existing words, and it even got pretty good at the punctuation. I used a neural network that can build words syllable by syllable - that way, it can make up its own words, yet they’ll probably at least be pronounceable. Pete Majarich asked me what a neural network would make of the over 19,000 dream summaries in The Dream Bank. Now here’s another way to get an algorithm to dream: train it on the rambling, semicoherent descriptions that humans give of their own dreams. By training in its own simulation of the level rather than the real thing, it could focus on the most important parts.
There’s a fun interactive model where you can play an algorithm’s dream version of the Doom level it was trying to beat.
The answer is yes - if you design them that way. They have some things in common with human brains - virtual neurons, and even some of the same mechanisms for analyzing images and navigating mazes. Let’s lie still for several hours and maybe vividly hallucinate?Ī lot of what people call AI these days are algorithms called artificial neural networks, a type of algorithm that’s modeled after the human brain. Dreams are really weird, when you think about them.
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