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Sharing new research, models, and datasets from Meta FAIR

ai.meta.com

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Re: Sharing new research, models, and datasets from Meta FAIR

#31

Post by refulgentis »

benatkin wrote: post #14
puttycat wrote: post #12

Can someone explain how watermarking AI videos voluntarily helps make AI safer?

It lets those providing AI video generation services watermark all of their videos. So it isn't intended to by voluntary. You would be left with those services that don't comply with whatever the current Big Tech rules are, like people who used Grok/X.ai to generate images in support of Trump despite Grok/X.ai being inferior. https://arstechnica.com/information-technology/2024/08/musks...

Think this the wrong / older article - when I click the link, this is twitter's hosted Flux model making pictures of Kamala and Trump flying into the world trade center and Trump on a surfboard with busty cat girls. The X.ai one launched this week

Re: Sharing new research, models, and datasets from Meta FAIR

#32

Post by UltraSane »

Roccan wrote: post #23

Meta's "Video Seal": Because nothing says "trustworthy" like a digital chastity belt. Imperceptible, they claim, yet robust enough to survive the gauntlet of internet mangling - sounds like the perfect tool to invisibly track content, not just watermark it.

Like all tools it can be used for good and evil. It could be installed directly in cameras to sign videos. And people with the power to turn it off could make AI fake videos that much more believable.

Re: Sharing new research, models, and datasets from Meta FAIR

#33

Post by croes »

bubaumba wrote: post #29
ponector wrote: post #10

Earlier quoted context omitted.

They still ruin society with the Facebook, no matter how much good they do with LLM.

Like it or not Meta is a major player in AI world with its free models and tools. As for social impact of the rest it's debatable. I personally don't have active social accounts, and not sure this is good.

Free by accident.

Re: Sharing new research, models, and datasets from Meta FAIR

#34

Post by dailykoder »

bubaumba wrote: post #29
ponector wrote: post #10

Earlier quoted context omitted.

They still ruin society with the Facebook, no matter how much good they do with LLM.

Like it or not Meta is a major player in AI world with its free models and tools. As for social impact of the rest it's debatable. I personally don't have active social accounts, and not sure this is good.

They are not free

Re: Sharing new research, models, and datasets from Meta FAIR

#35

Post by Rastonbury »

Roccan wrote: post #23

Meta's "Video Seal": Because nothing says "trustworthy" like a digital chastity belt. Imperceptible, they claim, yet robust enough to survive the gauntlet of internet mangling - sounds like the perfect tool to invisibly track content, not just watermark it.

I think it's reasonable to assume that any large social media company is already tracking video similarity in reuploads/edits. The remix and reused audio features are already baked in. Reverse image search screen caps of tiktok/reel pretty often return the source/original

Re: Sharing new research, models, and datasets from Meta FAIR

#36

Post by logicchains »

Rastonbury wrote: post #35
Roccan wrote: post #23

Meta's "Video Seal": Because nothing says "trustworthy" like a digital chastity belt. Imperceptible, they claim, yet robust enough to survive the gauntlet of internet mangling - sounds like the perfect tool to invisibly track content, not just watermark it.

I think it's reasonable to assume that any large social media company is already tracking video similarity in reuploads/edits. The remix and reused audio features are already baked in. Reverse image search screen caps of tiktok/reel pretty often return the source/original

It seems such tracking can be gotten around by something as simple as sticking a Subway Surfers clip underneath the video, given how common that is.

Re: Sharing new research, models, and datasets from Meta FAIR

#37

Post by entilzha »

modeless wrote: post #16

I really hope Dynamic Byte Latent Transformers work out. Death to tokenizers! Interesting that it's a a hierarchical structure but only two levels of hierarchy. Stacking more levels seems like an obvious direction for further research.

Author here :), I do think it’s a good direction to look into! That said, aside from it being a bit too much to do at once, you’d also have to be careful about how you distributed your FLOP budget across the hierarchy. With two levels, you can make one level (bytes/local encoder) FLOP efficient and the other (patches/global encoder) FLOP intensive. You’d also need to find a way to group patches into larger units. But ya, there are many directions to go from here!

Re: Sharing new research, models, and datasets from Meta FAIR

#40

Post by almostgotcaught »

ks2048 wrote: post #24

When I wonder about the business behind Meta doing this, I see they have $70B in cash, so giving a bunch of AI experts hundreds of millions is pocket change.

everyone that has responded so far has it wrong (naively so).

FB sells ad space on several apps. those apps needs people on them in order for the ad space to be worth anything. people, in turn, need content to attract them to the apps. so it's simple: enable people/companies/whomever to generate tons of content for cheap and consequently share it on the apps. that's it.

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