Just another Space Monkey

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Joined 25 days ago
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Cake day: August 22nd, 2026

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  • The actual reason is partially answered in other comments. Most people are focusing on who did it and they’re not asking the most obvious question - how bad does a game have to be to get noticed by Visa and MasterCard?

    The games in question aren’t merely “NSFW”. Visa doesn’t care about vanilla porn. The delisted games dealt in subject matter that is difficult to justify.

    MasterCard doesn’t need to help anybody buy “games” about incest, rape, or sexual assault of minors.


  • Do you have any benchmarks or data to back this “reckoning”

    I work with LLMs daily. I read papers as they hit arxiv. Also daily. You clearly don’t.

    I’m not interested in convincing anyone, which is why I’m speaking non-technically.

    The benchmarks being cited aren’t as interesting as you appear to believe they are. You’ve not fully grasped the fact that solving pre-made problems where the solutions are known or knowable isn’t anywhere close to the same thing as asking truly novel research questions independent of a human prompt. For OpenAI to also be embroiled in allegations of plagiarism only serves to underscore the gap between the two concepts.


  • I’m aware of what the pace is. You might want to check up on the current controversy surrounding OpenAI’s math “achievements”.

    By my reckoning, the difference between Mythos and Opus is smaller than the difference between Opus and Sonnet. Same with the difference between GPT 5.5 to 5.6 is smaller than the difference between GPT 4 to GPT 5.

    The size of improvements over time is diminishing. We’re not in “big bang” territory anymore and we’re about two years into the “incremental refinement” period. We’re about to enter the next AI Winter unless somebody comes up with a new architectural component as revolutionary as transformers have been for ML models.

    The core problem is that LLMs do not create. Full stop. All creativity is borne by the human inputs. Until that changes - until the model gains the capability to truly create new information, we’ve hit the limits in raw capability.