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That all sounds right to me, but apparently they can also be used for simply generating videos, or "unlocking the creation of new interactive experiences"... which both seem like competing goals with everything you just mentioned.

Is this post popular because of a recent mathematical discovery in this problem space?

I find the video strange. Are we meant to empathize with people who get flummoxed by everyday life? "Oh woe is me, I can neither assemble a bike nor ask a friend for help!" Of all the challenges in my life, the tiny mundane ones are the ones that can be most fun; those are the opportunities to laugh at myself, and to revel in small & happy victories. It's the charm of life.


I mean, I don't think the point was to say that everyday life is hard. I think the video was trying to say that certain types of instruction/communication is very bad.


I see your point for the bike scenario, but not for choosing a paint colors or touring a city (the other scenario in the ad). The common element that I perceived was that these were all mundane tasks in the physical world.


These are amazing but the parent comment is referring to vision comprehension, not generation.


Yup and I think these examples demonstrate just that. From my experience, both Claude and ChatGPT iterate over what they can see to build things like these. I don't think these examples are made without vision.


Aren't these the same thing, to some extent? I remember my music teacher told me, that as long as you can hear your false tones, she can teach you how to sing, no matter how bad you are at it. But if you can't hear it, she cannot help you.

AI is the same - as long as it can see well, it can tell the difference between what it outputs and what its supposed to. If you subtract the two, you have an error, and you can hill-climb on that.


Me too but unfortunately theorem proving seems to be easier than doing laundry.



What was the prompt?


I suck at prompting: Create a realistic animation of tying a Matthew Walker knot. Didn't get it right the first time and adversarial review self-corrected it.


But aren't today's frontier models already "fully universal"? To use your Turing machine analogy, I think we're past the calculator stage.


They are not. They can't do dexterous manipulation by controlling a humanoid robot.


Are you sure? Gemini tying a trash bag is pretty convincing.

https://www.youtube.com/watch?v=O9-650iHAls


Super useful, and easy to do in the VS Code merge pane.


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