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Cake day: June 14th, 2023

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  • HakFoo@lemmy.sdf.orgtoMemes@lemmy.mlSydney Sweeney
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    25 days ago

    I do want to see where China goes with soft power.

    I’m ashamed about the amount of my life I’ve wasted in Genshin and Where Winds Meet, but it still feels like the a lot of their cultural exports haven’t cracked the “just exotic enough for broad global appeal” that big-brand anime or K-pop have hit.

    If nothing else, imagine they treat it with the same strategic importance they gave industrial dominance. There would be a room full of very stern and sincere Vice-Ministers for Waifu Development and Fanboy Accelerstion.





  • Trying to sell consumers on “scaling solves everything” is going to be a hard sell.

    If we look at general purpose computation, which had decades of actual scaling-solves-everything growth, you had two influences that made the message resonate with customers:

    • Clear existing applications where more power made the experience straightforward better. Your spreadsheet took an hour to recalculate at 8MHz and 20 minutes at 25MHz. A lot of the “bigger model” stuff is plateauing with marginal or spotty gains. If I feed another 5 Internets of data to ChatGPT, will that summarized email be that much better?

    • New applications that could be demoed on specialised low capacity hardware and scaled down to consumers as more power became available. Think of early CGI on hardware costing tens of millions, and now you can run Blender on a $149 laptop. Since most commercial AI plays are hosted services, there’s not much opportunity to tease that way anymore.



  • The difference was that Amazon knew how to make a profit, but was reinvesting into infrastructure plays and bigger fish.

    If they had to, they could have been a modestly profitable bookshop in 2002. AWS and monster logistics might not have developed to put them in the 13-digit club though.

    Does any AI-centric play have that fundamental fallback? The services that seem to be most effective at direct monetization, the coding tools, are typically running at huge losses. If they raised costs to cover, precious few firms will pay basically the salary of a senior dev for an emulation of an enthusiastic junior dev with an affinity for footguns.

    The less enterprise-focused products-- parasocial toys, image and video gen, will likely try to dip into consumer subs and advertising, but can that generate the cash volumes these platforms demand?







  • It smells more like Facebook than Steam to me. they can print money for now because they have established scale and customer base, but it feels a bit slimy to where it might not be that appealing to new users. Dating services in general have a bad vibe-- bot problems, low quality matches, dark patterns, so authenticity is a big selling point, something AI drives a huge stake into.

    I’d expect that thr gay community, after decades of being a target for abuse, tends to be a bit more sensitive of red flags and looking for truly safe spaces. The Facebook comparison breaks down there, as it has 700 million Aunt Martha users whose most politically sensitive post is in defence of Miracle Whip on salads.