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Joined 2 years ago
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Cake day: July 5th, 2023

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  • Sadly I think Airbus is already busy as is. As far as I understand it, they were already supply constrainted before this and have their order books filled for years. Otherwise Boeing’s most recent quality and safety issues would have had a larger effect.

    I don’t know if they could increase capacities even if they wanted to, or if a volatile situation like this would allow for the investments that would be necessary to do so.

    Imo this just accelerates China’s own ambitions to build up their own rival with Comac. This development makes the transition less gradual and they’ll have to eat some losses, but that’s something their system is capable of.

    On the other hand it’s actually worse for the US, because they’ll miss out on those sales and might not be able to sell them somewhere else. With Boeing already struggling and this being a key industry, this will mean that it might require more subsidies in the future to keep them going or succeed in the turnaround.


  • Does this actually matter that much? I have a pixel 6a that has the visor style camera bump and with a case on it just disappears.

    And even if I’d use the phone without case Google’s bar shaped design still allows the phone to lay stable on a surface without wobble, just at a slight angle instead of flat. Which I guess would be an issue with other designs.


  • As i understand it most of the money they are investing goes into new datacenters. So when a model gets outdone by a new one they still have those, unlike e.g. OpenAI that use other companies resources (i think microsoft and oracle mostly?). In a way companies that use those external clouds to train their own models are financing the investments needed for the big players.

    AWS, GCP and Azure are all growing 30%+ yoy, are profitable and if anything supply constraint in that they can’t build more capacity fast enough to meet demand. So it seems to me that to some degree they are already recouping some of those investments. I don’t see a drop in demand for compute, and even if using/training ai would become less resource intensive, Jevons paradox would just lead to more demand.

    Of course they also burn a lot of money as anytime a new model gets trained and beats the older ones, it kind of renders the resources spend on the previous one worthless. But to me that seems like the cost of doing business.

    The current investments they can afford. What would actually lead to shedding huge amounts of marketcap is, if they’d let a rival establish themselves. Similar to how the movie studios didn’t get into streaming early (mostly to not hurt their cable business) and gave Netflix enough time to establish themselves.


    To comment on something you mentioned in another reply below:

    I just don’t see a world where most people are coughing up more than $10 a month for AI.

    I think the big money will be in the business world, where salaries for actual people are high enough that saving a person even a few hours/week or replacing a single employee saves so much money that even expensive subscriptions would easily be worth it.

    On the consumer side as you say running smaller models locally will likely be the norm. But that means it would be free for both the likes of Deepseek and Google. And then it’ll just come down to who has access to personal information and is better embedded, which would be likely be whoever also controls other aspects of a users life, such as Goole with Android, gmail etc. Money here will be made just as it is done with other free services.



  • That’s just it for me. At this stage there really isn’t much more to do than to give a generic apology and the promise to investigate, improve and make up for things. Nobody (should) expect to see any instant consequences.

    The bar is so low and yet they can’t even do that. And GN even showed them how it is done in their video. Specifically calling out that this is a matter that should not be monetized.