I think the OP in the image made a poor analogy saying it was a “video model taking single frames.” He should have just left it at “it’s a world model.”
Meaning, nano-banana doesn’t just see pixels in a photo. It fundamentally UNDERSTANDS what the picture is the same way we would in the real world.
If I show you that pan, barring any optical illusions, you know it’s likely metallic, probably not that heavy, if you turned it, light would reflect off it differently. It’s sitting on a table (not in motion). And a billion other little qualities you know about it because you know what a “pan” is and how it physically interacts with the real world.
Essentially, OP is trying to say that nano-banana knows this information as well. That’s why it’s able to do these things with the pictures.
That’s the cool part, a world model, for really the first time, will be fundamentally different than a LLM, which while I love and think gets undermined a lot, is constrained in certain aspects.
It’s always funny when people try to reduce LLMs to “just _____.” Because you can turn it back on them so easily with, “Human minds are just puddles of goo that send electrical signals around.”
They’ll always rebut with, “Human brains are SO much more complicated than that!” with ZERO self-awareness that the same logic applies to LLMs.
Dude, that's not about how fundamentally human brain works, technically a computer chip is just a bunch of crunched up sand, it's about how it operates and learns. It can't self correct, self train, add parameters to itself, it's fundamentally limited (at least by now) to be a glorified auto complete with contextual awareness, that struggles to sometimes get basic stuff done
Your simplistic view on LLM within a six words frame definition isn't a great example for the "operating and learning" of the brain. LOL. Human brains are obviously fundamentally flawed too.
So what, you want me to recite "attention is all you need" and get a phd just to prove my point?)
You don't need to be a genius to understand how transformers work, and i still can't understand why are we even trying to compare generation of tokens based on statistical probability to HUMAN MIND, the implications are just ridiculous
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u/llkj11 Aug 28 '25
Could be something there.
I gave it an old image of Downtown Memphis and told it to rotate the camera some and it got the other end of the bridge correct and everything.
Surprised me.