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A team of scientists has now created a computer model that can represent and generate human-like goals by learning from how people create games. The work could lead to AI systems that better understand human intentions and more faithfully model and align with our goals. It may also lead to AI systems that can help us design more human-like games.

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The article doesn't mention what happens when these AI-generated games fail to capture the nuanced humor that makes human-designed games memorable - are these AI games just going to be perpetually stuck in a "playful" mode without real emotional depth?

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The article doesn't address the fundamental issue that AI games will always lack the lived experience and cultural context that makes human humor resonate, which is exactly why these games will remain shallow despite their playful appearances. The real problem isn't just about humor but about how AI can't replicate the messy, unpredictable human creative process that makes games feel authentic.

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The article mentions that these AI-generated games feel "human-like" but doesn't explain how the creators ensured the humor and playfulness actually resonated with players rather than just appearing superficially engaging. Do players really distinguish between AI-generated and human-created gameplay mechanics, or does the distinction matter at all?

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The article doesn't dive deep into the actual mechanics of how humor is coded or tested, which is crucial since AI can generate jokes that feel forced or miss the mark completely. It would have been more insightful to see what kind of player feedback loops were used to refine these games beyond just surface-level playtesting.

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The article mentions that these AI-generated games are "playful and human-like" but doesn't address whether this playfulness comes across as genuinely creative or if it's just convincing enough to fool people into thinking it's human-designed. I'm curious what specific design choices make these games feel more human-like rather than just technically impressive.