Two tired mice in a pail of milk, They swam around as best they could. But hope began to fade - what should they do? One wanted to drown itself, But its friend said, "No, no, no, For hope only triumphs, maybe, As long as we keep searching for it. Keep searching for it.

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Joined 4 months ago
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Cake day: December 25th, 2025

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  • It is indeed quite insane when you reflect on how much information your brain is consuming during a day.

    The starring into the wall seems like a reinvention of meditation. Why not just meditate? I sometimes do that when the brain fog becomes too much. 15 minutes in a nice chair, with some fresh air, and then just try to not think about anything or try to observe the surrounding sounds without reflecting on the sounds itself. It has a really nice effect.



  • Jeg tror ikke du skal tænke for meget over det. Det kan ske for enhver, og mange har nok stået i en lignende situation. Det er selvfølgelig træls hvis der er nogen der blander sig. Men tag en boltsaks med og klip den over på stedet, eller træk den med hjem eller over til en cykelhandler og få det fikset der.

    Det er nok sket for en hel del. Det er nok heller ikke en cykel til mange tusinde kroner?







  • Did these developers not have experience with AI?

    This is from the article

    But Rush and Becker have shied away from making sweeping claims about what the results of their study mean for the future of AI. For one, the study’s sample was small and non-generalizable, including only a specialized group of people to whom these AI tools were brand new.

    I’m not sure focusing on one aspect to scope a reasonable and doable study automatically makes it “really low effort”.

    You are right, but I believe they should at least have chosen another use case, to make it interesting. I wouldn’t have needed a study to know that an AI performs worse than a developer in a project the developer most likely built them self. The existing project might have some really weird code smells and work arounds that only the developer on the project knows about and understand. There might be relevant context external to the solution. The AI have to be a mind reader in these cases.

    But, if you gave the AI and the developer a blank canvas a clear defined task, I just believe it would be a more interesting study. *

    It kind of sounds like they were just handed a tool they knew nothing about and were asked to perform better with it. A mitter saw is way better and faster than a regular saw, if you know how to use it.

    *edit

    To make my point more clear, I don’t mean the developer needed to solve an issue that’s not related to his daily work, but a task that’s not dependent on years of tech debt or context that is not provided to the AI. And yes, by that, I don’t believe code generation from an AI have a big use case in scenarios where the project have too many dependencies and touches on niche solutions, but you can still use it for other purposes than building features.


  • I get the agenda of the study and I also agree with it, but the study itself, is really low effort.

    Obviously, an experienced developer working on a highly specialized project, where the software developer already have all the needed context, and have no experience with using AI, will beat a clueless AI.

    How would the results look like, if the software developer had experience with AI, and were to start on a new project, without any existing context? A lot different, i would imagine. AI is also not only for code generation. After a year of working as a software developer, I could no longer gain much experience from my senior colleagues (says much more about them, than me or AI) and I kinda was forced to look for sparring elsewhere. I feel like I have been speed running my experience and career, by using AI. I have never used code generation that much, but instead I’ve used it to learn about things i don’t know i don’t know about. That have been an accelerator.

    Today, I’m using code generation much more; when starting a new project, or when i need to prototype something, complete mundane tasks on existing projects, make some none-critical python scripts, get useful bash scripts, spin up internal UI projects, etc…

    Sometimes, i naturally waste time, as it takes time for an AI to produce code, and then it takes time to review the code, but in general I feel my productivity have gained by using AI.



  • Gav det noget at læse/høre det på svensk? Og har du en præference mellem dansk, svensk og engelsk? Gad egentlig godt være den type nørd der læser den samme bog på flere sprog, men holder mig egentlig mest til danske oversættelser, når det er skønlitteratur, selvom jeg godt ved det lidt er en skam, når jeg kunne læse de engelske klassikere på engelsk.


  • Senest har jeg læst Mary Shelly - Frankenstein og Jules Verne - verden rundt på 80 dage. Ellers har jeg tidligere læst Orwell, Dostoevsky, Coelho, Steinbeck, Kundera, Bukowski, Jack London, Kierkegaard, Stangerup, Scherfig, Pontoppidan, m.m…

    Jeg kunne forestille mig at hun har købt noget med George Elliot, Dickens, Hardy og måske Vigirnia Wolf og Shakespeare hvis hun er rigtig træls. Håber på at der også er Dumas, Joyce og Homer blandt.