Palworld studio Pocketpair says its new publishing division won't handle games that use generative AI: 'We don't believe in it'
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web knowledge search
yeah for low stakes how-tos I’ve been asking more and more using one of the free LLMs. For higher stakes I ask for their sources if they can give it and go from them on my own.
It’s been really nice to be able to type a plain question (in any language) into Google and receive a concise answer before scrolling down to confirm with more trustworthy sources. In particular it’s been very good for solving annoyances with UI options by directing me to exactly what I’m looking for. A traditional search will often conflate my search with synonyms (even when using quotations, which is some bullshit), and even ignore what language my search was in.
e: Also you should be careful when clicking on any links provided by an LLM because they can accidentally send you phishing links.
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Palworld studio Pocketpair says its new publishing division won't handle games that use generative AI: 'We don't believe in it'
Pocketpair Publishing boss John Buckley says we're already starting to see a flood of 'really low-quality, AI-made games' on Steam and other storefronts.
PC Gamer (www.pcgamer.com)
The difference between “generative AI” and “procedural generation” cannot be meaningfully nailed down.
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The difference between “generative AI” and “procedural generation” cannot be meaningfully nailed down.
I think it can - procedural generation consist of procedures, that is elements designed by humans, which are just connected into a bigger structure. Every single template, rule and atomic object (e.g. a single room in a generated house) is hand-designed, and as such no matter what comes out the elements and connections were considered by a real human. On the other hand, generative AI is almost always some sort of machine learning, that is an approximation of what a good structure of something should be, but it is only a very poor, randomised approximation. You have absolutely no guarantees nor constraints on what might pop out of the model - that is my main concern with genAI, though the whole outputted thing looks reasonable, upon closer inspection it has a lot of inconsistenties.
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The difference between “generative AI” and “procedural generation” cannot be meaningfully nailed down.
Nonsense. Procedural generation is a rule-based deterministic system while generative AI is probabilistic and data driven. It’s fundamentally different.
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Palworld studio Pocketpair says its new publishing division won't handle games that use generative AI: 'We don't believe in it'
Pocketpair Publishing boss John Buckley says we're already starting to see a flood of 'really low-quality, AI-made games' on Steam and other storefronts.
PC Gamer (www.pcgamer.com)
“We might deal in derivative IP, but it’s our derivative IP!”
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The difference between “generative AI” and “procedural generation” cannot be meaningfully nailed down.
Where are all these prompt based image generators that identify themselves as procedural generation?
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I think it could work to give dynamic and varied answers to secondary characters given good prompts and other guardrails to preserve the immersion. As long as the core elements of the games are not AI generated slope, and developers are honest about where it was used.
I am really praying for the day corporate drops this foolish nonsense of foisting it on their company and employees - maybe even gasp enabling their teams to access and use the tools that help them do better and more creative jobs.
Because AI can fit into a lot of people’s toolsets really nicely, especially in creative fields like game design. Just need to drop the idea that AI is an authoritative final answer to our design problems and instead realize that it’s just another tool to help us get to those solutions.
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I think it can - procedural generation consist of procedures, that is elements designed by humans, which are just connected into a bigger structure. Every single template, rule and atomic object (e.g. a single room in a generated house) is hand-designed, and as such no matter what comes out the elements and connections were considered by a real human. On the other hand, generative AI is almost always some sort of machine learning, that is an approximation of what a good structure of something should be, but it is only a very poor, randomised approximation. You have absolutely no guarantees nor constraints on what might pop out of the model - that is my main concern with genAI, though the whole outputted thing looks reasonable, upon closer inspection it has a lot of inconsistenties.
I think you are reading in the “designed by humans” part. Even when that is nominally true, the whole point of procedural generation is to create a level of complexity and emergence that the outputs are surprising and novel. Things no one expected are desirable. I think the distinction being drawn is not meaningful; in both cases, it is entirely possible and likely that no human being understands how a given output was arrived at.
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Nonsense. Procedural generation is a rule-based deterministic system while generative AI is probabilistic and data driven. It’s fundamentally different.
Okay, but (ignoring that procedural generation can also be probabilistic) what is the functional difference? The point I’m getting at is that you cannot banish the one without necessarily limiting the other.
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As an amateur game dev, I believe AI will crash out for the public before it becomes truly useful for programming. I’ve heard colleagues try to use AI , but it often just creates more work. When the AI doesn’t know the answer, which is often. it makes something up, leading to errors, crashes, or hidden issues like memory leaks. I’d rather write the code correctly from the start and understand how it works, than spend hours hunting down problems in AI-generated code, only to never find the issue. Full disclosure I use Chatgpt to edit my dialogue as my English is not great.
My anecdote for AI and coding is that it’s a good replacement for google searching, especially when you are learning a new language.
You need to understand the fundamentals first, but asking the AI how to do a task in C when you’ve only coded in JS is very helpful. It’s still wrong, but it’s not like Stack Overflow is more accurate.
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Okay, but (ignoring that procedural generation can also be probabilistic) what is the functional difference? The point I’m getting at is that you cannot banish the one without necessarily limiting the other.
It’s less of a functional different and more of a moral one.
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“We might deal in derivative IP, but it’s our derivative IP!”
Derivative over generative any day if you ask me.
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Nonsense. Procedural generation is a rule-based deterministic system while generative AI is probabilistic and data driven. It’s fundamentally different.
Markov chains are both probabilistic and data-driven. For example. LLMs are not that far removed from markov chains. Should game developers be allowed to use latent spaces or is that too sloppy AI?
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It’s less of a functional different and more of a moral one.
Content theft is a separate issue. We can agree to ban the fruits of content theft without drawing arbitrary technical taboos.
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Palworld studio Pocketpair says its new publishing division won't handle games that use generative AI: 'We don't believe in it'
Pocketpair Publishing boss John Buckley says we're already starting to see a flood of 'really low-quality, AI-made games' on Steam and other storefronts.
PC Gamer (www.pcgamer.com)
We don’t believe in AI, says the developer of AI Art Impostor
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We don’t believe in AI, says the developer of AI Art Impostor
With how badly that game was received, maybe they understood the point. Maybe
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The difference between “generative AI” and “procedural generation” cannot be meaningfully nailed down.
You don’t need any preexisting training data for procedural generation
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Palworld studio Pocketpair says its new publishing division won't handle games that use generative AI: 'We don't believe in it'
Pocketpair Publishing boss John Buckley says we're already starting to see a flood of 'really low-quality, AI-made games' on Steam and other storefronts.
PC Gamer (www.pcgamer.com)
Pocketpair Publishing boss John Buckley
Any relation to loss guy?
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Pocketpair Publishing boss John Buckley
Any relation to loss guy?
Isn’t that Garfield’s owner
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You’d think that that’s the one thing LLMs should be good at – have characters respond to arbitrary input in-character according to the game state. Unfortunately, restricting output to match the game state is mathematically impossible with LLMs; hallucinations are inevitable and can cause characters to randomly start lying or talking about things thy can’t know about. Plus, LLMs are very heavy on resources.
There are non-generative AI techniques that could be interesting for games, of course; especially ones that can afford to run at a slower pace like seconds or tens of seconds. For example, something that makes characters dynamically adapt their medium-term action plan to the situation every once in a while could work well. But I don’t think we’re going to see useful AI-driven dialogue anytime soon.
You seem to imply we can only use the raw output of the LLm but that’s not true. We can add some deterministic safeguards afterwards to reduce hallucinations and increase relevancy. For example if you use an LLM to generate SQL, you can verify that the answer respects the data schemas and the relationship graph. That’s a pretty hot subject right now, I don’t see why it couldn’t be done for video game dialogues.
Indeed, I also agree that the consumption of resources it requires may not be worth the output.
