The chart isn’t about streaming services, but companies. So this is covering everything that is owned by Disney, which includes broadcast and cable channels in addition to Disney+, and probably Hulu and maybe even other things that I’m not even aware of.
For all of the quality complaints about this anime, we have to remember that the technology is improving at a breakneck pace. What we are seeing there is the state of the technology from over a year ago. They used Stable Diffusion, which barely anyone even uses these days, because it’s been left in the dust. It was also an image generation model, which is what caused most of the issues that the anime had–the model was never designed for use on video in the first place. But now we DO have video models, which can make things that look far better than this. Just the other day, what looks to be a new state of the art anime video model was released. A new anime starting production today would look a whole lot different than this. And if we look forward 5 years from now, things are again going to be on an entirely different level.
So what does this mean for anime? I think the technology will slowly start to get adopted more and more as it proves itself. The early days of the anime industry was basically born out of cost cutting measures to make it cheap to produce animated content. Decades ago, we saw studios start producing 3d CG anime because it was cheaper. Most 3d CG anime still looks like crap, but you can also see the technology being integrated into traditionally animated shows and looking really nice. You can also find things these days which I would say barely even qualify as animation. Something like “The Way of the Househusband” is literally just a sequence of still images strung together. Yet we have more anime being produced now than ever before, and are also seeing some of the most beautiful anime ever.
I think we will continue to see some studios take whatever measures they can to produce something at a low cost. AI will continue to get integrated into more and more productions. It will eventually let them start making things that look cool, rather than things that look bad. And then we are still always going to have some studios that go all in and produce a really quality product, because the people involved are passionate about it.
Legend? I guess so.
I simply can’t understand why the hell people advertise stuff like this before it’s completed. You KNOW what’s going to happen. Just work on it quietly until it’s done, then put it out there, nothing can be done about it.
I would disagree. I think it really improved upon the gameplay that we saw in the first TMNT arcade game. You got combo attacks with the different characters, and you could pick up various items and weapons. It also had some really huge bosses that were kind of impressive at the time, and had some mini games between stages. There were also a lot of interesting things that happened within the stages.
I remember reading in a gaming magazine that Konami was bringing the Simpsons to the SNES. I just knew it was going to be the arcade game, and I was so hyped for months just waiting and waiting for it. And then I got Barts Nightmare.
This is an argument of semantics more than anything. Like asking if Linux has a GUI. Are they talking about the kernel or a distro? Are some people going to be really pedantic about it? Definitely.
An LLM is a fixed blob of binary data that can take inputs, do some statistical transformations, then produce an output. ChatGPT is an entire service or ecosystem built around LLMs. Can it search the web? Well, sure, they’ve built a solution around the model to allow it to do that. However if I were to run an LLM locally on my own PC, it doesn’t necessarily have the tooling programmed around it to allow for something like that.
Now, can we expect every person to be fully up to date on the product offerings at ChatGPT? Of course not. It’s not unreasonable for someone to make a statement that an LLM doesn’t get it’s data from the Internet in realtime, because in general, they are a fixed data blob. The real crux of the matter is people understanding of what LLMs are, and whether their answers can be trusted. We continue to see examples daily of people doing really stupid stuff because they accepted an answer from chatgpt or a similar service as fact. Maybe it does have a tiny disclaimer warning against that. But then the actual marketing of these things always makes them seem far more capable than they really are, and the LLM itself can often speak in a confident manner, which can fool a lot of people if they don’t have a deep understanding of the technology and how it works.