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Cake day: June 2nd, 2023

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  • Triple AAA games are usually very polished. But polish doesn’t make games fun. Polish is important with accessibility, and it’s easy to see why accessibility is important for a big studio casting a wide net.

    But fun? That comes from creativity and innovation. Big studios are averse to risk taking, and struggle to attract creative individuals, because the corporate culture seeks to stamp out individuality in the name of process and procedure.

    So yeah, more evidence of this. My money is going to Indy devs who prioritize fun over polish. (But polish is good to have too).










  • The wording of the article implies an apples to apples comparison. So 1 Google search == 1 question successfully answered by an LLM. Remember a Google Search in layspeak is not the act of clicking on the search button, rather it’s the act of going to Google to find a website that has information you want. The equivalent with ChatGPT would be to start a “conversation” and getting information you want on a particular topic.

    How many search engine queries, or LLM prompts that involves, or how broad the topic, is a level of technical detail that one assumes the source for the number x25 has already controlled for (Feel free to ask the author for the source and share with us though!)

    Anyone who’s remotely used any kind of deep learning will know right away that deep learning uses an order of magnitude or two more power (and an order of magnitude or two more performance!) compared to algorithmic and rules based software, and a number like x25 for a similar effective outcome would not at all be surprising, if the approach used is unnecessarily complex.

    For example, I could write a neural network to compute 2+2, or I could use an arithmetic calculator. One requires a 500$ GPU consuming 300 watts, the other a 2$ pocket calculator running on 5 watts, returning the answer before the neural network is even done booting.


  • This comment implies that no humans were involved with operating the AI. Seems doubtful.

    It’s one thing for out of touch executives who blindly replace entire departments with “AI” while fundamentally misunderstanding the role of the department being replaced and the capability of AI, tanking the quality of the product–that’s real self harm for everyone involved; it’s another thing to be advancing the creative processes with more advanced tools and automation, something that we’ve been doing for centuries without much fuss.

    The creative part of voice acting isn’t just in moving one’s lips. The creative part of voice acting is just as much, if not more, in feeling and direction–in deciding if a sound sample produces a certain desired emotion, and if that emotion is valuable to the overall experience or not. This is not the territory of generative AI. This is the territory AGI, which does not yet exist. Producing the sound with your lips is just a small part of that. There’s still a human involved in producing the work of art (and if not, then yeah, we are back at that first category, of leadership ignorant of the creative process, and we should bemoan a crappy product lead by executives who have no clue how to retain talent).