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Cake day: August 27th, 2023

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  • 59% of games sold on steam either use unity or unreal. Not released, but sold. I think it’s the general opinion and you’re an outlier here. I invite you to post lists of your recently bought games or most played games. I doubt they all have their own custom engine.

    Only 10% of new games used a custom engine, and they are by far mostly triple A games from big companies. Unless you just don’t play indie games, you have bought unreal or unity games even if you buy less in general.

    And yes, that means 10% account for 40% of sales but it’s no suprise since having your own engine and a big budget go hand in hand.

    It’s absolutely insane to actually think we are worse off. Would you rather a walled garden, where only multi million dollar companies can afford to develop games, just because of a few shovelware garbage titles that just get ignored anyways? Do you get a shit game as a gift every Christmas or something? The negatives aren’t even affecting anything.

    Here are the stats if you are interested. https://www.creativebloq.com/3d/video-game-design/unreal-engine-dominates-as-the-most-successful-game-engine-data-reveals
















  • Maybe this’ll slow down the adoption of self hosted LLMs

    That is what the tweet is about…?

    The whole point is that llms need resources that the current average computer doesn’t have, and they are locking away the higher end computers behind price hikes.

    They are making it so online llms are the only option.

    I didn’t see anything about this being about local LLMs

    What? He talks about selling computation as a service and specifically mentions chatgpt. It’s not about stadia.



    1. Openai alone has 125 million daily users. Clearly, there is a use case.
    2. Well it uses the same hardware so I guess it is.
    3. If you don’t already have a strong computer, the price rising does incapacitate you. I guess you can also say house prices rising doesn’t incapacitate homeowners.
    4. Prices don’t usually go down as fast as they go up, not sure what’s the point in any case.
    5. Cloud computing needing GPUs or a lot of ram is.
    6. They do to run llms, or they need a strong GPU, which is what this is about.