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Joined 3 years ago
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Cake day: July 3rd, 2023

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  • I fall in the junior category, but with more experience prior to becoming a certified full stack dev than most juniors. I was a sys admin for a decade where I taught myself how to code to simplify my job. Plus I had 1 year at university 15 years ago. I use my company provided license with AI very sparingly and never let it implement code. Mostly I use it like a glorified stack overflow when I run into a problem that I can’t work out by myself. Usually, it will suggest some code that’s not good, but it’s enough to highlight a concept I’m ignorant to and then I can do what I need. If there’s a block of code that has something that I don’t understand, I can highlight it and ask it to explain. It’s usually pretty good at listing out what something is doing or at least supposed to do.

    I would love if AI disappeared immediately, but it’s not going to happen. If someone is using, it should be used as a tool and not a replacement. If you can’t do the thing that it’s doing, then you shouldn’t be use it to do that thing. I probably ask it questions less than once a week, and again, never put in code that I don’t understand what it does and why.

    I have a good friend that’s a senior dev at a company using Claude code. He’s become an AI code reviewer, but much to my dismay likes it. He’s vibe coding his own fuck around app with it and it’s writing the backend in C#, a language he doesn’t know being a frontend dev. It’s so infuriating to me that someone that I know to be intelligent is so damn stupid.







  • So a quick search shows that over the last 10 years, Uber was down a total of around 30 billion before turning profitable 3 years ago. This OpenAI report shows a 20 billion loss just this past year. They are surely different scales, but that’s a lot more billions lost.

    As far as more DCs costing more, well you have to buy for the structures, pay for all of the hardware, and then pay to run the hardware. The more DCs you have the more that’s going to cost. I don’t know how that affects capacity or if it’s more for model training. However, I don’t think there’s a snowballs chance that prices are going down. Currently they’re going up across the board, and seeing how much they are hemmoraging, they can’t afford to go down. These first few years have entirely been about marketshare to build a client base and drive out competition. I can’t think of any service I have ever used that ever dropped in price.

    Maybe I’m wrong. We can only speculate at the moment and this wave is fairly unprecedented. I personally hope they all crash and burn. It’s a blight on humanity and the environment. So I really hope I’m right and these companies go under leaving a bunch of bag holders that invested. I want it to hurt for everyone involved.


  • It’s not a small feat, but they also 4x’d their expenses, which made them lose significantly more. Long term as you mentioned, if they could entirely drop their R&D, which they’ll never get to $0, but if they did, they’d still be almost -$2 billion in profit. Business modes can change to help accommodate that at that point theoretically though.

    I just don’t see them ever getting there. How many years can you lose $20 billion and stay solvent? They’ll raise prices like everyone, but they may lose customers offsetting the gains made, or even if they get more, operating costs will go up too. With all of the DCs being built, I also don’t see R&D going down anytime soon either.



  • I’d imagine DCs are doing it the cheapest way they can. But I think comparing the high rises to a DC doesn’t really work just due to the scale difference and the amount of heat needing removed. I’m sure there’s a way that it could be made something of a closed loop for DCs, but I’m guessing it would be a bit different if a process compared to high rises. I wouldn’t be surprised if a DC removed as much heat as a year of every high rise in NYC in a day or less…