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> Claude Code is rare product that is both beneficial and economically addictive, I'm in the film and engineering spaces, and I can honestly say the same about

by echelon 7mo ago

> Claude Code is rare product that is both beneficial and economically addictive, I'm in the film and engineering spaces, and I can honestly say the same about image and video models. There is so much fun in all of these tools, and the productivity gains are insane. I shoot film, but I never would have been able to do anything like this before: https://www.youtube.com/watch?v=HDdsKJl92H4 https://www.youtube.com/watch?v=HDdsKJl92H4 https://www.youtube.com/watch?v=oqoCWdOwr2U https://www.youtube.com/watch?v=oqoCWdOwr2U Today, I saw AI OR DIE with this banger: https://www.youtube.com/watch?v=CNbmoVdirxw https://www.youtube.com/watch?v=CNbmoVdirxw Gossip Goblin is doing incredible work as usual. Dude is a savant and would have killed it in Hollywood if he'd had a chance before: https://www.youtube.com/watch?v=-Rzl7nUdEs4 https://www.youtube.com/watch?v=-Rzl7nUdEs4 Corridor Crew is leaning in and building new tools: https://www.youtube.com/watch?v=Y3Dfw969itU https://www.youtube.com/watch?v=Y3Dfw969itU There's just so much incredible stuff being made by really brilliant people that never would have had the chance before. And these tools are literally brand spanking new. We're just getting started.

ericd 7mo ago
Thanks, these are a real trip, especially loved Pi Hard.
bobajeff 7mo ago
That's my view too. I love what people are doing with this stuff. I really want to get a decent rig to start doing this stuff locally someday.
dyauspitr 7mo ago
Uh, how is this possible? Is this all Veo 3? How are they getting such fantastic continuity across clips?
- echelon 7mo ago
  Veo 3 is one of the weaker video models, surprisingly! Google and OpenAI are both really far behind the Chinese at this point. Perhaps Google will unveil something groundbreaking at Google I/O, but both companies have been trailing for well over a year at this point. One of the reasons OpenAI gave up was not only were they losing money, but they were also ridiculously far behind (11th or below in the rankings). The models most professionals use are Kling o3, Kling 3.0 and, more recently, Seedance 2.0. These are all Chinese models. Seedance 2.0 stands out as an almost order of magnitude improvement over everything else in the industry. It's truly the SOTA model. It blows everything else out of the water, and it's truly remarkable to experience it in use. On April 30th, Alibaba's new Happy Horse model rolls out. They poached folks from Kling to build it. It's supposedly 2-5x cheaper than Seedance 2.0, and its ELO scores rank it as the new highest performing model. https://artificialanalysis.ai/video/leaderboard/text-to-video https://artificialanalysis.ai/video/leaderboard/text-to-vide... https://artificialanalysis.ai/video/leaderboard/image-to-video https://artificialanalysis.ai/video/leaderboard/image-to-vid...
- margalabargala 7mo ago
  They aren't one shotting these.
  - echelon 7mo ago
    You would be surprised. Some shots are indeed impossible to one shot, but others can serendipitously turn out better than you wanted. I'd say it averages 2.5 generations per shot. A lot of single one off one shots, and some (few) shots that just won't work no matter how hard you prompt. That said, it's likely you'll find usable footage even in the losses. Videos are meant to be cut. A failed generation might still have salvageable contents you can cut to/from. Editors are the super powered folks in AI video.

by echelon 7mo ago

ericd 7mo ago

Thanks, these are a real trip, especially loved Pi Hard.

bobajeff 7mo ago

That's my view too. I love what people are doing with this stuff. I really want to get a decent rig to start doing this stuff locally someday.

dyauspitr 7mo ago

Uh, how is this possible? Is this all Veo 3? How are they getting such fantastic continuity across clips?

echelon 7mo ago
Veo 3 is one of the weaker video models, surprisingly! Google and OpenAI are both really far behind the Chinese at this point. Perhaps Google will unveil something groundbreaking at Google I/O, but both companies have been trailing for well over a year at this point. One of the reasons OpenAI gave up was not only were they losing money, but they were also ridiculously far behind (11th or below in the rankings). The models most professionals use are Kling o3, Kling 3.0 and, more recently, Seedance 2.0. These are all Chinese models. Seedance 2.0 stands out as an almost order of magnitude improvement over everything else in the industry. It's truly the SOTA model. It blows everything else out of the water, and it's truly remarkable to experience it in use. On April 30th, Alibaba's new Happy Horse model rolls out. They poached folks from Kling to build it. It's supposedly 2-5x cheaper than Seedance 2.0, and its ELO scores rank it as the new highest performing model. https://artificialanalysis.ai/video/leaderboard/text-to-video https://artificialanalysis.ai/video/leaderboard/text-to-vide... https://artificialanalysis.ai/video/leaderboard/image-to-video https://artificialanalysis.ai/video/leaderboard/image-to-vid...
margalabargala 7mo ago
They aren't one shotting these.
- echelon 7mo ago
  You would be surprised. Some shots are indeed impossible to one shot, but others can serendipitously turn out better than you wanted. I'd say it averages 2.5 generations per shot. A lot of single one off one shots, and some (few) shots that just won't work no matter how hard you prompt. That said, it's likely you'll find usable footage even in the losses. Videos are meant to be cut. A failed generation might still have salvageable contents you can cut to/from. Editors are the super powered folks in AI video.