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  • 38 Posts
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Joined 4 years ago
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Cake day: March 14th, 2023

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  • Even though I take an electric bike or electric buses and metros to get to work so I don’t need to burn it to go anywhere myself, but I know that lots of fuel is burned to get stuff to me, from farms and source industries, to processors, to the store.

    I do like to travel internationally a few times a year so that really ups my personal carbon footprint and I do expect to get more expensive year-over-year and I may end up going less in the future.

    In BC, flexible plastics are recyclable, and I’d even had my prior assumptions challenged by people on Lemmy that virgin plastics formed with by-products of petroleum fuel production (esters) would be too cheap and abundant for recycled plastics to be economical; the oil shock highlights how that may not always be the case.

    We’ll need a bit of petroleum for lubrication (machine oil), cooling, jet fuel, a bit gor plastic etc., but we can, even today, replace a good chunk of it relatively quickly and reduce methane and CO2 emissions enough to make a difference and to ride out a shock like this. Synthetic glue took over the need to use animal products for all but the smallest niche of artisans. If electric vehicles, better mass transport, SAF, grid batteries are pushed for mass implementation, our dependence on oil can be massively reduced. Ironically, the biggest oil shills of the world have done more than any environmental activist could hope to accomplish, to show people why complete dependence on oil and fossil fuel is bad.


  • Personally, the local model seems to be the future for AI within FOSS, and I think it may be refined to have lower usage requirements for a specific capability to run on smaller machines, not sure how much better general purpose models will get but after trying them, I expect modest progress over the next few years.

    I don’t trust the large frontier models and the push to build data centers, that’s a grift at the expense of spending that could be useful elsewhere.

    I’m lucky enough to have bought a 3090 2nd hand when they weren’t insanely expensive in 2023. I’m trying “vibecoding” on my personal half-finished coding projects. My coding style is poor by most professional standards, but the edits I have had my local model (Qwen 3.8 27B UD Q4) and harness (llama.cpp and Opencode) spit out are reviewable to me, make logical sense, follows my existing conventions and does run correctly. I think it is by default on highest quality, which means writing one function takes 15m to an hour, but I’d rather it be slow and hallucinate in my code less. There are other optimizations I could make to have it run faster, but it’s not a big deal to me. I can code the functions myself in less time, but what I think it is best at is catching bugs and my mistakes.