While we know that families come in many shapes and sizes, Steam Families is intended for a household of up to 6 close family members.
To that end, as we monitor the usage of this feature, we may adjust the requirements for participating in a Steam Family or the number of members over time to keep usage in line with this intent.
This sounds like they are going to limit usage to geo-locational. Or that’s just supposition by me but I don’t see any other things this would target.
Assuming it is store country that is checked: Simply VPN-ing doesn’t change that. Instead you have to make a purchase in the new place with “a payment method from the region you have moved to”. From experience this locks your account to the new region for 3 months. What would be interesting to know is if you can be in a family and then change regions afterwards without getting auto-kicked.
Needless to say, my experiments ended at trying to see if they have any kinds of restrictions in place (unlike for the original family share) and I don’t wanna buy a throwaway game and lock an account into a different region for 3 months just for shits and giggles.
Worth noting that this could also potentially be due to differences in censorship/rating laws across country lines. For instance, Germany has some strict regulations regarding Nazi imagery in media. So games need to have a specific Germany-friendly version if they feature that kind of imagery. And Steam may not be able to serve two different versions of the game with a single license.
It would be nice if they could someday find a better way to enforce this. What if your kid has shared custody with their other parent, and they aren’t in the same household all the time? What if they’re studying abroad and aren’t even in the same country?
I don’t have the solution, but I do hope someone eventually finds a better way to do it.
Sadly it doesn’t seem to add the possibility of whitelisting/blacklisting games. I do not want to share porn & VAC games, not even with adults, since the bans are shared to the account actually owning the game.
You can mark games as Private in your library now. It hides your ownership, play stats, etc. It doesn’t specifically say it disabled Family Sharing but it’d be silly to keep that. There is also a Hidden Games section which stops it from showing up on your list.
Edit: I just tested it with current Family Sharing (not this beta version). Both Hidden and Private prevent games from showing on another shared account.
That’s only for VAC games, right? The historical advice given by modders is to share your library, and use another account to mod it. If you accidentally login to the online portion of a game with a mod enabled, only that account is banned not the library owner.
This specifically says that getting banned on a shared account will also ban the owner who shared the game. Likely to prevent exactly what you described, where people could evade bans simply by sharing their library with a throwaway account.
You can mark a game as private and it won’t show to the other family members. I verified this just now after signing up for the beta and setting up an account for my spouse. The games I marked private don’t show up on their families library.
Family Sharing enables you to play games from other family members’ libraries, even if they are online playing another game. If your family library has multiple copies of a game, multiple members of the family can play that game at the same time.
Well this is exceptionally exciting. This potentially solves 100% of my complaints with Family Sharing as it exists currently.
For REAL!! Not playing same game with one copy makes sense. But the one instance per library was harsh. This is tremendous, and honestly, I’ll probably buy even more games knowing my kids can play them and I can stick to my same old same old if I don’t like it.
No kidding. This solves a major issue with the Steam Deck as well, because now someone else can be playing on the Deck while you use your main PC for another game.
I have issues with this even with 3rd party applications. Wanna play PokeMMO, an emulator that doesn’t even exist on Steam, on your Steam Deck while you’re waiting to respawn in Trouble in Terrorist Town? Fuck you, you’re disconnected from that server now.
Don’t know anything about this. I tried to play the first one recently and it was ok. I don’t think it aged well. I really wanted to play it when it came out but it murdered my PC. I’m sure I would have enjoyed it more back then.
Good. I don’t care how long it’s delayed if that leads to a more polished game on release. Since they weren’t fully comfortable with the state the game was in, I’m glad they did this. :-)
Dope. I can’t wait to have meaningful generative content in a game I play. Will it be perfect? Nah probably not for another 10 years to be honest. But it’s a start. It’ll be nice to not have to rely on a greedy publisher to make a sequel to a beloved game series especially when they’re taking in billions a year from microtransactions. Bring on the human-serving AI
"This will enable us to release the vast majority of games that use it. "
So it sounds like the floodgates are opening and now it’ll be up to the users to sort out the flood of BS. None of this is truly surprising, while I’m not cynical enough to suggest their temporary stance was a quick way to score some easy points with the anti-AI crowd, we all kind of have to acknowledge that this technology is coming and Steam is too big to be left behind by it. It stands to reason.
I also understand the reasoning for splitting pre/live-generated AI content, but it’s all going to go in the same dumpster for me regardless.
I certainly think it’s possible to use pre-generated AI content in an ethical and reasonable way when you’re committed to having it reach a strong enough stylistic and artistic vision with editors and artists doing sufficient passes over it. The thing is, the people already developing in that way would continue to do so because of their own standards, they won’t be affected by this decision. The people wanting to use generative AI to pump out quick cash grabs are the ones that will latch onto it, I can’t think of any other base this really appeals to.
Pretty cool. I almost had to start liking Epic Store for not having such a dumb stance. The disclaimer on games using generative content is weird, but it’s a solid step forward.
AI generated content has a lot of unanswered legal questions around it which can lead to a lot of headache with moderation and possibility of illegal content showing up (remember that not only “well meaning” devs will use these tools). It’s seems reasonable for a company to try minimize the risk.
As for disclaimer, it will allow people make an informed decision - not sure what’s wrong with that.
AI generated content has a lot of unanswered legal questions around it which can lead to a lot of headache with moderation and possibility of illegal content showing up (remember that not only “well meaning” devs will use these tools). It’s seems reasonable for a company to try minimize the risk.
There were never any unanswered legal questions would prevent you from being able to use generated assets in a game. That’s why Valve’s old stance was so odd. I’m not sure what you mean by the possibility for illegal content, can you elaborate?
I’d like to mention that I’m not exactly up to date with AI related legislation so treat what I’m about to write as a genuine attempt to understand their worries rather than trying to be smart.
I remember there being a lot of uncertainty about the legality of what and how can('t) be used in training models (especially when used for commercial purposes) - has that been settled in any way? I think there was also a case of not being able to copyright AI generated content due to lack of human authorship (I’d have to look for an article on this one as it’s been a while) - this obviously won’t be a problem if generated assets are used as a base to be worked upon.
As for illegal content - Valve mentioned it in regards to live-generated stuff. I assume they’re worried about possibility of plagiarism and things going against their ToS, which is why they ask about guardrails used in such systems. On a more general note, there were also cases of AI articles coming up with fake stories with accusations of criminal behavior involving real people - this probably won’t be a problem with AI usage in games (I hope anyway) but it’s another sensitive topic devs using such tools have to keep in mind.
Again, I’m nowhere near knowledgeable enough to write this stuff from a position of confidence so feel free to correct me if any of this has been dealt with.
I remember there being a lot of uncertainty about the legality of what and how can('t) be used in training models (especially when used for commercial purposes) - has that been settled in any way? I think there was also a case of not being able to copyright AI generated content due to lack of human authorship (I’d have to look for an article on this one as it’s been a while) - this obviously won’t be a problem if generated assets are used as a base to be worked upon.
In the United States, the Authors Guild v. Google case established that Google’s use of copyrighted material in its books search constituted fair use. Most people agree this will apply to generative models as well since the nature of the use is highly transformative.
I recommend reading this article by Kit Walsh, a senior staff attorney at the EFF from April last year if you haven’t already. The EFF is a digital rights group who recently won a historic case: border guards now need a warrant to search your phone.
Works involving the use of AI are copyrightable, but just like everything else, it depends. It’s also important to remember the Copyright Office guidance isn’t law. Their guidance reflects only the office’s interpretation based on its experience, it isn’t binding in the courts or other parties. Guidance from the office is not a substitute for legal advice, and it does not create any rights or obligations for anyone. They are the lowest rung on the ladder for deciding what law means.
As for illegal content - Valve mentioned it in regards to live-generated stuff. I assume they’re worried about possibility of plagiarism and things going against their ToS, which is why they ask about guardrails used in such systems. On a more general note, there were also cases of AI articles coming up with fake stories with accusations of criminal behavior involving real people - this probably won’t be a problem with AI usage in games (I hope anyway) but it’s another sensitive topic devs using such tools have to keep in mind.
I agree live generated stuff could get developers in trouble. With pre-generated assets you can make sure ahead of time everything is above board, but that’s not really possible when you have users influencing what content appears in your game. If they were going to ban anything, the original ban should have been limited to just this.
Thanks for the links, that’s exactly why I wasn’t sure where things stand currently. While I am familiar with EFF, I wasn’t aware of that article so it was an interesting read.
The one I kind of remembered (even though only partially) was the Reuters article, which contains this quote I was referring to:
The office reiterated Wednesday that copyright protection depends on the amount of human creativity involved, and that the most popular AI systems likely do not create copyrightable work.
It’s obviously a bit more complicated than how I mentioned it initially so I’m glad I could read it again.
The original ban was always meant to be temporary as far as I understand, Valve simply wanted some time to decide rather than make a rash decision (it’s easier to open the floodgates than it is to clean up after the fact). I’m sure things will change in the future as AI tools become more and more common anyway.
The one I kind of remembered (even though only partially) was the Reuters article, which contains this quote I was referring to:
The office reiterated Wednesday that copyright protection depends on the amount of human creativity involved, and that the most popular AI systems likely do not create copyrightable work.
This was likely in reference to Midjourney, which was the system in question in its ruling. Midjourney, even for its time had very rudimentary user controls way behind the open standards that likely didn’t impress the registrar.
There’s also a spectrum of involvement depending on what tool you’re using. I know with web based interfaces don’t allow for a lot of freedom due to wanting to keep users from generating things outside their terms of use, but with open source models based on Stable Diffusion you can get a lot more involved and get a lot more freedom. We’re in a completely different world from March 2023 as far as generative tools go.
Take a look at the difference between a Midjourney prompt and a Stable Diffusion prompt.
To break down a bit of what’s going on here, I’d like to explain some of the elements found here.
sarasf is the token for the LoRA of the character in this image, and <lora:sarasf_V2-10:0.7> is the character LoRA for Sarah from Shining Force II. LoRA are like supplementary models you use on top of a base model to capture a style or concept, like a patch. Some LoRA don’t have activation tokens, and some with them can be used without their token to get different results.
The .07 in <lora:sarasf_V2-10:0.7> refers to the strength at which the weights from the LoRA are applied to the output. Lowering the number causes the concept to manifest weaker in the output. You can blend styles this way with just the base model or multiple LoRA at the same time at different strengths. You can even take a monochrome LoRA and take the weight into the negative to get some crazy colors.
The Negative Prompt is where you include things you don’t want in your image. (worst quality, low quality:1.4), here have their attention set to 1.4, attention is sort of like weight, but for tokens. LoRA bring their own weights to add onto the model, whereas attention on tokens works completely inside the weights they’re given. In this negative prompt FastNegativeV2 is an embedding known as a Textual Inversion. It’s sort of like a crystallized collection of tokens that tell the model something precise you want without having to enter the tokens yourself or mess around with the attention manually. Embeddings you put in the negative prompt are known as Negative Embeddings.
In the next part, Steps stands for how many steps you want the model to take to solve the starting noise into an image. More steps take longer.
VAE is the name of the Variational Autoencoder used in this generation. The VAE is responsible for working with the weights to make each image unique. A mismatch of VAE and model can yield blurry and desaturated images, so some models opt to have their VAE baked in,
Size is the dimensions in pixels the image will be generated at.
Seed is the number representation of the starting noise for the image. You need this to be able to reproduce a specific image.
Model is the name of the model used, and Sampler is the name of the algorithm that solves the noise into an image. There are a few different samplers, each with their own trade-offs for speed, quality, and memory usage.
CFG is basically how close you want the model to follow your prompt. Some models can’t handle high CFG values and flip out, giving over-exposed or nonsense output.
Hires steps represents the amount of steps you want to take on the second pass to upscale the output. This is necessary to get higher resolution images without visual artifacts. Hires upscaler is the name of the model that was used during the upscaling step, and again there are a ton of those with their own trade-offs and use cases.
After ADetailer are the parameters for Adetailer, an extension that does a post-process pass to fix things like broken anatomy, faces, and hands. We’ll just leave it at that because I don’t feel like explaining all the different settings found there.
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