The English translator and editor for KC:D II claimed that he's been replaced with AI in a bid to make Warhorse Studios 'more effective' and 'save finances'
It costs $75 to use the commercial version of DeepL. And it came out 5 years before chatgpt and all these other companies. It isn’t a LLM. https://www.deepl.com/en/pro
But the optics are not good when you already have a translator, and you fire them for ai, because it is cheaper per month. I would rather a person check it.
It’s coming, but it takes time. Business revenue is largely based on existing products, procedures, brand, contracts/business relationships, etc. It will take time for AI slop to reduce the quality of their offerings to the point that they’re no longer competitive.
In the case of AA/AAA games, AI hasn’t been around long enough to get a full production cycle using it. We’re already seeing AI slop in the indie games space, but it’s not really making waves because most indie games never do well anyway. As far as I know, there isn’t a single “very successful” game released with heavy AI use.
I know someone who works for one of the huge game companies (on the “live service” side) and he’s seeing it. (You’ve heard of them.) But he’s needing to walk a fine line with his team: he can’t reprimand them for using AI to make the slop he’s sent to review, because upper management is pushing for more AI use, but he’s getting plans & proposals that don’t make a lick of sense. On the surface level, they read fine, but on a deeper read, you realize the solutions don’t line up with the included examples, and don’t make sense in the context of their existing tech stack. It sounds really good, but it’s just garbage.
It’s only a matter of time before slop like that ends up costing them, likely in both product delays and worse performance and stability. Hopefully, they don’t have slop in their database/server security, as that will hurt their users not just the company going to shit.
The future is looking rocky for high-budget games. I’m lucky I almost exclusively prefer and play smaller indie games.
It’s time AI usage started costing companies.
It costs $75 to use the commercial version of DeepL. And it came out 5 years before chatgpt and all these other companies. It isn’t a LLM. https://www.deepl.com/en/pro
But the optics are not good when you already have a translator, and you fire them for ai, because it is cheaper per month. I would rather a person check it.
It’s coming, but it takes time. Business revenue is largely based on existing products, procedures, brand, contracts/business relationships, etc. It will take time for AI slop to reduce the quality of their offerings to the point that they’re no longer competitive.
In the case of AA/AAA games, AI hasn’t been around long enough to get a full production cycle using it. We’re already seeing AI slop in the indie games space, but it’s not really making waves because most indie games never do well anyway. As far as I know, there isn’t a single “very successful” game released with heavy AI use.
I know someone who works for one of the huge game companies (on the “live service” side) and he’s seeing it. (You’ve heard of them.) But he’s needing to walk a fine line with his team: he can’t reprimand them for using AI to make the slop he’s sent to review, because upper management is pushing for more AI use, but he’s getting plans & proposals that don’t make a lick of sense. On the surface level, they read fine, but on a deeper read, you realize the solutions don’t line up with the included examples, and don’t make sense in the context of their existing tech stack. It sounds really good, but it’s just garbage.
It’s only a matter of time before slop like that ends up costing them, likely in both product delays and worse performance and stability. Hopefully, they don’t have slop in their database/server security, as that will hurt their users not just the company going to shit.
The future is looking rocky for high-budget games. I’m lucky I almost exclusively prefer and play smaller indie games.
That sounds awful. I guess they’re just pushing and pushing to see how many people they can eventually lay off. It can’t backfire soon enough.