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Joined 3 years ago
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Cake day: July 26th, 2023

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  • Not young. Worked at a supermarket before the internet (technically it existed, but not in supermarkets and such. It was the very early dial up days… pre AOL and such. Anyway, the one manager hated me, and he would have given me that job if it existed. I got along with my coworkers. None of them had that job. Maybe the night time restockers checked once a night or something, I didn’t know all of them. But I don’t so. They just waited for a customer to tell them I believe. But back then, a freezer full wasn’t as big a loss as it is nowadays. And their margins were higher.


  • See I was thinking that at first too. But then the supermarket has to host the software to manage the devices. If it were just fridges, fine, but surely it is a ton of things, all with their own software… so letting the fridge talk directly to the companies servers saves the supermarket from needing to have serious IT staff.
    Now there are a ton of ways to make it a safer connection so that it can’t be hacked so easily. From the sounds of things, even that was too much for the supermarket people to do. So default password it was.



  • This really is just like every other management trend. They take something that can have a positive impact and then try to apply it in all the wrong places without investing in making it work. AI can really help with a lot of mundane tasks that everyone dreads doing. And it can really help at finding information in an ocean of docs and pages. But… you have to invest in training people jow to use it, building the internal tools to make it effective, and in getting the garbage out of your existing docs. It can also be used for coding of course, but the ecosystem needed to do that well requires even more investment in basics. The fact that tech writers who know how to work with and document for AI aren’t being hired by the bundle tells you how wrong soo many companies are about their approach. Bonus points, if used well, AI doesn’t have to be obscenely expensive. At least until they start charging what it actually costs.






  • Nice. I just wondered how they were coming along.

    Right now, I have to manage which model does what. So I don’t. It’s the companies dime after all, and they clearly value speed over efficiency. But the model I directly talk to doesn’t need to be super high end. It could be well versed in which model is best for what task and farm put all of the work to the right model for the job. Seems like that alone could reduce cost a ton. But then start adding in cheaper local models and the price could fall a ton.

    It would also be more accurate. Like if I had a small local model for interacting with a set of apis. It wouldn’t make the mistake of not considering that the api paginates results. The general model makes this mistake over and over.

    So I agree this is the direction of the future. Just trying to figure out when we will get there.