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Joined 1 year ago
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Cake day: October 15th, 2023

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  • Our cat ushers us into bed when it’s near bedtime. If one of us is playing games late or otherwise up past midnight she will literally meow non-stop and chase us into the bedroom, it’s mildly annoying sometimes but very sweet haha. Then she’ll spend a few minutes with us in bed making biscuits before buggering off elsewhere, job completed.





  • Baldur’s Gate 3 (~600 hours), BeamNG.drive (~550), Cities Skylines (~300), Space Engineers (~300), 7 Days to Die (~250) and Satisfactory (~230).

    These are all stats from Steam and probably not fully representative. Satisfactory for example I used to play on Epic when I got it as a free game over there, probably logged at least another 500 hours or so on that platform.

    My most played game of all time is most likely TES: Oblivion, which I started playing at release back when I was a teenager and had almost infinite free time. I’m not sure if I still have my oldest save to confirm, but I suspect it would be at least 1,500 hours, probably more across several characters.



  • I have a Model 3 at the moment. I’ve had it for almost 5 years and it’s generally been great - cheap to run, quiet and comfortable on longer trips but still fun to drive on back roads.

    Recently it had its first major breakdown, and although Tesla service did manage to take care of it, it’s got me browsing for new EVs - but now, buying a Tesla is not the foregone conclusion it once might have been.

    First, they have been making some truly stupid design choices in their latest facelifts (deleting the indicator stalks and gear selector).

    Second, their CEO has now gone completely mask-off fascist.

    Third - after a few years for the competition to catch up, we now have genuine alternatives from other marques which are just as good if not better EVs than Tesla’s offerings.

    I think my next car will likely be a Polestar 2.











  • I’ve tried Copilot and to be honest, most of the time it’s a coin toss, even for short snippets. In one scenario it might try to autocomplete a unit test I’m writing and get it pretty much spot on, but it’s also equally likely to spit out complete garbage that won’t even compile, never mind being semantically correct.

    To have any chance of producing decent output, even for quite simple tasks, you will need to give an LLM an extremely specific prompt, detailing the precise behaviour you want and what the code should do in each scenario, including failure cases (hmm…there used to be a term for this…)

    Even then, there are no guarantees it won’t just spit out hallucinated nonsense. And for larger, enterprise scale applications? Forget it.