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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)GI
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1,325
Joined
2 yr. ago

  • First line of defense: blocking out sunlight in all windows during the day

    Second line of defense: highly active drafting, creating a cross-breeze when the outdoor temperature is lower than the indoor temperature

    Third line of defense: Fan, reduces perceived temperature significantly

    Fourth line of defense: Acclimatization, warm showers before bed (supposedly helps)

    Fifth line of defense, in case everything else fails - basically a heatwave: portable AC

  • Realistically, people aren't going to attain their goals trying to do a Twinkie CICO diet though, even though it might be theoretically possible.

    I wish people would just move on from posting about CICO already, it's long since outlived its usefulness as a concept

  • The best form of exercise for you is the form that you actually do consistently week after week. If this means working out at home, then that's fine. Given that you're not trying to break any records, this might just be fine for you.

    I've done many different forms of working throughout the years, one of which was to work out at home/local outdoor gym. I did this because there were no gyms at what I considered to be a reasonable distance from home, and I considered that to be too much of an impediment to actually get the work done consistently.

    I did get stronger from it, and used it as a part of losing weight, which I wanted on account of being overweight at that time.

    I've since stopped doing that routine and moved to lifting weights at a gym, which I considered attainable since I moved to a place with gyms very close by. I did this because working out at home had basically reached a plateau as far as strength was concerned - lifting weights at a gym will get you stronger at a faster pace.

    I think checking out the stuff that Hybrid Calisthenics does could be worthwhile for you. Do some stuff at home for now if that feels better for you, and then evaluate later on if it keeps working for you.

  • You don't need dryer sheets if you're hang drying your clothes, which reduces wear on the clothes and uses less energy, along with requiring one less appliance, unless you have a combo washer/dryer.

    I started hang drying my clothes maybe 4 years ago and I'm definitely not going back

  • Sweden: Late Spring/Early Summer/Early Autumn, approximately May, June and September.

    Temperatures between 15-25 °C, low humidity and lots of hours of daylight (18 hours in early June). Great conditions for biking and just all-round pleasant to be in.

    Early Spring is too wet, Late Summer is too hot and humid, and Late Autumn is too wet and dark. Winter sucks, unless it's an unusually cold year and we get consistent snow coverage. Wet and extremely dark.

  • A few not yet mentioned:

    • Well There's Your Problem - a podcast about engineering disasters
    • Hard Fork - a weekly tech news show, with banter similar to what you could find on Reply All before that was ended
    • The War on Cars - an urbanism-podcast
    • The Urbanist Agenda - another urbanism-podcast, by the creator behind Not Just Bikes
    • The Climate Denier's Playbook - a climate-podcast
    • Hyperfixed - by one of the hosts of Reply All

    And a vote for previously mentioned podcasts:

    • 99% Invisible - a podcast about design, arguably my favourite
    • Darknet Diaries - a podcast about cybersecurity
  • I don't think DeepSeek has the capability of generating code and executing it inline in the context window to support its answers, in the way that ChatGPT does - the "used"-part of that answer is likely a hallucination, while "or would use" more accurately represents reality.

  • The concern is that the model doesn't actually see the world in terms of distinct hexadecimals, but instead as tokens of variable size - you can see this using the tiktokenizer-webapp: enter some text and it will split it into the series of tokens the model actually will process.

    It's not impossible for the model to work it out anyway, but it is a reason for this type of task to be a bit harder on LLMs.