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If it learns from humans and produces results like humans would. No, humans can understand "A red cube, on top of a yellow cube, to the left of a green cube" a
by chubot 5y ago
If it learns from humans and produces results like humans would.
No, humans can understand "A red cube, on top of a yellow cube, to the left of a green cube" and draw it.
Dall-E gives you nonsense -- look at the picture.
It fundamentally doesn't understand things that humans do. That is limitation.
Of course it might be great overall and do things that humans can't, but it still has a limitation.
Gary Marcus has been hammering this home at least since 2018, probably earlier. It's more of a memory/association/recall machine than a machine that understands, and understands logic in particular.
- viraptor 5y ago> "how some of them are described as limitations"
- deleted 5y ago[deleted]
- js8 5y agoI agree it doesn't understand. I believe we will have an AGI when you ask it to draw: "seven red lines, all of them perpendicular, some in green ink, some transparent, in the shape of a kitten" Then it will respond: "FU, it cannot be drawn!"
- iggldiggl 5y agoOr do something like this: https://www.youtube.com/watch?v=B7MIJP90biM https://www.youtube.com/watch?v=B7MIJP90biM
- newswasboring 5y agoNow I want someone to feed this classic prompt to DALL-E
- jameshart 5y agoThis seems tractable though. GPT-3 can complete this prompt: clarify this scene description: A bowl of fruit containing no apples With The bowl contains bananas, oranges, and grapes. So the semantic modeling is certainly doable.