"Peter Mandelson’s lobbying company, Global Counsel, until its collapse, and Mandelson took the prime minister, Keir Starmer, on a trip to Palantir’s Washington DC showroom. "
I do wonder how studios are working around consistent human faces, it's a problem on almost every discussion forum I have read for AI videos and not something that seems to be solved yet.
Do you have any examples of those creative workflows that have made it into Hollywood for example?
> allowing anyone to make whatever content they want.
One could draw a Mickey Mouse three-disc logo in inkscape, but nobody would sue inkscape because the application did not know what was being created. Likewise, asking for e.g. "a black disc, with two smaller discs tangent to it at a 105 degree angle" would not be infringing if the model never saw the Mickey Mouse logo to begin with.
Israel has killed many in Iran during the recent war, hasbara trolls hang out on forums to tell people otherwise.
It doesn't care in the slightest for Iranians and wish utter turmoil in the country, we have seen it's treatment to Arabs clear as day in Gaza and the West Bank.
Look at Africa. Iranian-sponsored genocide across much of sub-Saharan Africa. Barely gets a mention in the news because nobody's going around shoving it in your face.
All video models are terrible at consistency. Even closed source ones.
Seedance 2.0, Kling 3 are regarded the best closed source video models we have. I have subscribed to a few AI video subreddits, consensus atm is they are good for anything but long form videos with humans.
No surprises that we're very good at spotting even the most subtle differences while looking at other people.
Higgsfield have multiple models available, people use Kling usually 2.5 & 3. There are a few good examples posted right now you'll notice the subtle differences.
I have tried to generate things myself and it's extremely hard to have more than 7-8 clips that are consistent, eventually you'll accept a compromise. I think it's why there isn't any long form content being done yet. Getting good results is sometimes just "chance" regardless of how many reference data you have.
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