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I'm curious why this was resolved to NO? It seems like the Runway ML model is an equivalent if not better video model than Dall-E 1 is an image model? 🤔

@EsbenKran I think it was referring to DALL-E 2 (based on the market creation date)

@EsbenKran After expending some time playing with it I decided it didn't fit the object permanence criterion.
It is good enough for the "generating arbitrary videos of reasonable quality from text prompts" criterion imo.
Sorry if the title implied a different criterion.
I got a subscription and expend some time trying prompts and being pretty undecided.
I thought of resolving 50% instead but saw failures bad and consistent enough that I decided to resolve no.

Part of the problem is that the videos generated are short and it was hard to get actual examples of object permanency.
But even the example they have on their webpage has mountains magically apear after a baloon hides a chunk of the image.
If my criterion was "Runway ML model is an equivalent video model than Dall-E 1 is an image model" I migth have resolved yes, and maybe I should have picked that instead of committing to something specific but now I have to resolve based on the criterion i wrote on the description wich lots of people were basing their decisions on.

@VictorLevoso I do think soon we'll have models that would have resolved yes soon and it probably takes a bit of improvement from were the runway models are and I don't think we are that far from even moth video level quality.
Although I want to note that from what tried the runway model is significantly worse than in looks on cherricpicked promo videos unless you expend lots of time trying and finding good prompts.
Though maybe I'm just bad at prompting duno, I couldn't try that much cause its pretty expensive.
I wish the runway models were a bit better or a bit worse so resolving was easier and less contested.I was originally inclined to resolve yes based on the things they showed before trying it myself, and now I'm wondering whether I should have resolved to some percentage instead.

Decided to resolve no after trying gen2 further.
Videos are short and hard to make anything that shows object permanence but in exampels of things like crowds where you have people or animals or cars or watever ocluding each other some disaperar or fuse or do things like that pretty consistently.

Can someone not involved on this market and not biased pro or cons AI generation resolve this ?

Any chance we could resolve this? (My two cents is that based on a good faith reading of the question and description, the answer is clearly no)

@twink_joan_didion I don't think clearly. Maybe NO, Maybe YES, if it were me I'd just resolve PROB I think. It's very subjective.

@VictorLevoso have you had a chance to play with gen 2?

@Sky not yet, only a bit with free credits will have to pay to try it a bit more.
Sorry been busy with other stuff these days(mostly working on intepretability and running an intepretability discord) and have been procrastinating on this a bit I'll try to do it before the end of this week I guess.

Attempted to do some more in-depth research on this topic within a blog post. I don't think we are there and I think this will give a good case for why not. While we're at the point of useful 4-second clips which can be used by editors and cherry-picked to put together longer videos, I just don't think we're anywhere near the original level of Dall-E 2 and I'm fairly confident, like at least 30% confident that the market resolver will come to this realization when they eventually get around to using gen-2. https://patdel.substack.com/p/how-far-away-are-we-from-non-crappy

@PatrickDelaney "Non-crappy" is subjective, and the person said they think it's non-crappy. Dall-E 2 wasn't even mentioned, they were talking about dalle1 and dalle1 gets things wrong a lot.

@ShadowyZephyr "Non-crappy" for this market is "object permanency". Gen-2 video (that are currently the best among AI generation) are definitely crappy in the usual sense. They trigger either laugh, disgust or both. They are so short it's difficult to demonstrate successful object permanency. Most examples I have seen, even by yes better, displays errors in object permanency. Clouds that appears from nowhere, things that morph into another things, people doing weird movements so there limbs seems to change sizes.

@Zardoru "usual sense?" this is a new technology, what is the usual sense?

@ShadowyZephyr Video is not a new technology. We can estimate quality of a video, AI generated or not. Anyway I have only 16 shares on this, I sold the others because I was sensing resolution was potentially problematic.

@ShadowyZephyr I can't bet anymore on this market as I already sold out (lost money) but if I could, I would vote NO because I think the market maker can be convinced that we're at a NO. Check out my article. If I have written something wrong in there I would like to know.

@PatrickDelaney (No one can buy or sell on this market because it’s closed. If it was open you could still bet as normal.)

@PatrickDelaney The thing you wrote wrong was comparing to Dalle-2 when it wasn't mentioned at all.

Also 30fps is not necessary. Most animators use 12fps.

Hello? Is it not time to close this? Gen2 is incredibly crappy, with or without the object impermanence. Also I posted below an example of a camel growing a second head, which proves no object permanence.

@PeterBuyukliev Uhhh no it does not? Object permanence means something in the background can be obscured temporarily, and then it will still show afterwards. A camel growing a second head doesn't prove anything. I think it can show object permanence sometimes.

Looking at some of the examples, and how mixed it can be, I think resolving 50% is fair.

@ShadowyZephyr it literally does not even have object permanence for objects in the foreground.

@PeterBuyukliev Object permanence has literally nothing to do with the foreground. It's the ability to know objects exist even when they are behind something/not shown. Yes, it can make mistakes in the foreground, but it doesn't always do that, and that isn't one of the conditions.

@ShadowyZephyr The other condition is that the videos generated should be "of reasonable quality." If it regularly adds extra heads to camels, that condition doesn't really seem to be met to me.

@NLeseul The other videos it produces that I've seen are of reasonable quality, it seems like that's a one off scenario

@ShadowyZephyr I cite "generating arbitrary videos of reasonable quality from text prompts and demonstrates "object permanency" in the sense that it can resolve full object oclusions correctly(for example a mountain being temporarily hidden by a low cloud should still be there after the cloud moves) most of the time."

Reasonable quality is not here. You get somewhat quality only by sherry-picking.

As for "object permanency" in the sense that it can resolve full object occlusions correctly. It generally fails here. But "full object occlusions" is only the difficult case of object permanency. If we expect the object to be permanent after being temporarily hidden, that means it also should be permanent in the easy case where it stays in plain sight. So it should not disappear or morph with no reason.