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Joined 1 year ago
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Cake day: July 6th, 2023

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  • Their prices stay lower, so if the person buying the laptop ships around even a little bit, they will likely buy from one of the non-affiliated sites.

    So… I don’t think that’s necessarily how it works, at least not in aggregate. The first issue is the market capture you mention: Amazon has a sort of “soft” market capture-- you’re free to buy stuff from wherever, of course, but Amazon encourages customers to stay in their ecosystem, and also doesn’t permit sellers to set prices lower off-site for products that they list on Amazon (e.g. if they want to have a sale on their own website, that sale price must be reflected on Amazon, too). Those are some of the ways that Amazon exerts “soft” market control, which we both recognize is enough for algorithmic pricing to work.

    Google also has this kind of “soft” market control… And they are generally much wider-reaching than Amazon. For instance: You suggested that people will “shop around.” How do people shop around? They probably use a search engine, and their search engine is probably Google. If Google was trying to interpret intent and guide their shopping decisions, why wouldn’t they privilege companies using “personalized pricing” in the search results, and bury non-participating competitors? Similar things already happen with ads. So when the user “shops around a little bit,” they are probably doing so in the context of the first page of Google results… Which, of course, Google is in control of.

    Some people will clue in and search through other channels, or have retailers that they prefer, and visit directly… But many people will not bother/know to, just like they don’t bother/know to check CamelCamelCamel for Amazon price history to see what the algorithms are doing. Sometimes it’s lazy or complacent, but lots of the time they just don’t understand that it’s happening, or the degree to which it affects them.



  • You don’t think companies would opt into letting Google manage “dynamic pricing” for them on a per-user basis? Travel sites already offer this for airlines after you signal intent, such as a destination and date range… And sellers on Amazon already use tools like Sellery to algorithmically reprice items without human supervision. Some products change price hundreds of times per day as a result.

    Big retailers like Walmart are trying to make “personalized pricing” work, which tries to anticipate price tolerance based on past shopping behavior on an individual basis.

    So it’s not a stretch at all IMO to imagine Google offering a “personalized pricing” service that you can install on any website, right under the script tag for Google Analytics. Or Amazon, or Walmart, or whoever-- They all have mountains of data on us.




  • Mine is that, except they DON’T complain. Like when someone is showing me a YouTube video on their device and an ad shows up 30 seconds in… I lunge for the mute button while I scan the room for a blanket, clipboard, or other item to shield us, yelling “AVERT YOUR EYES!!” but next to all of my commotion, they’re just nodding along placidly like “Oh Coinbase, interesting.”

    Like… Aren’t you affronted that some company paid another company to make it less convenient to do the thing you’re trying to do?! Does the gaudy, pushy tone change to too-loud propaganda designed to coax you away from your money not gall you?!

    “Idk sometimes the ads are interesting. Free month sounds good.”

    Jesus christ he’s too far gone.








  • What in the ChatGPT is this article? It’s like someone from LinkedinLunatics paid an aspiring content writer to write a vapid hype piece but insisted that it be about 6x too long.

    Here are some highlights (although it was hard to figure out which sections were the cringiest):

    This new studio represented more than just a business venture; it was the manifestation of Feng’s dream to create games that prioritized player experience over profit.

    The team’s dedication to authenticity was unparalleled. They immersed themselves in Chinese mythology, reading the classical novel “Journey to the West” over 100 times. They visited countless cultural sites, drawing inspiration from ancient architecture, art, and landscapes.

    The impact of Black Myth: Wukong extended far beyond sales figures. It became a cultural phenomenon, bridging the gap between Chinese mythology and global audiences. The game’s success inspired a new wave of developers to create games based on their own cultural mythologies and histories

    Feng Ji: The Humble Visionary Despite the overwhelming success and adulation, Feng Ji remained characteristically humble. When asked about the game’s achievements, he responded with a touch of philosophy: "When you are at the peak of confidence, you are also staring at the valley of foolishness. This statement encapsulated Feng’s approach to game development and success. Rather than resting on his laurels, he immediately turned his attention to the future, focusing on expansion packs and maintaining the game’s quality

    Jesus christ tone it down.