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Posts
40
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271
Joined
2 yr. ago

  • Gee I wonder if grok shares data with the rest of twitter, Gemini shares with the rest of google or llama… actually I haven’t used Facebook in ages, I don’t even know if there’s a ChatGPT equivalent service on Facebook.

    I do actually wonder if Anthropic shares data with Amazon, or OpenAI with Microsoft (their majority shareholders). That would be a direct 1:1 comparison with what’s happening between deepseek and bytedance (though at least in the latter case you can host-your-own since the model is open source).

  • My desk is littered with post-it notes and papers, as the act of writing something down is usually what helps to "lock" it into my memory for a time. Unfortunately due to the ridiculous number of to-dos I usually have at any given time it makes me look like some kind of crazy note-hoarder.

  • A global FOSS day would be awesome. In addition to giving gifts to the authors and maintainers (and maybe Paterson and others would agree to no fees for one-time donations on that day or something), think of all the other new holiday traditions we could start…

    • cookies in the shape of Linus or RMS
    • decorations made from “that box” we all have of extra parts and cables
    • rhyming flame wars on every listserv
    • riveting games of (token) ring-around-the-rosie

    What else?

  • A kilo of gold is worth about $193k currently, which depending on where you live and how old you are means different things. For example, if that was your whole net worth and you are a Baby Boomer in the US you’d be about $1.5M below the average family. If you’re under 35, though, you’d be slightly above average. (Via kiplinger)

    FWIW because the top 1% have so much wealth they skew the average significantly - overall the median net wealth in the US is right around that $193k number, but the average is just over $1M, which is pretty amazing.

    $200K in net wealth would just about put you into the global top 10% and into the top 1% if those were your earnings for the year.

  • The main findings from the Economic Index’s first paper are:

    • Today, usage is concentrated in software development and technical writing tasks. Over one-third of occupations (roughly 36%) see AI use in at least a quarter of their associated tasks, while approximately 4% of occupations use it across three-quarters of their associated tasks.
    • AI use leans more toward augmentation (57%), where AI collaborates with and enhances human capabilities, compared to automation (43%), where AI directly performs tasks.
    • AI use is more prevalent for tasks associated with mid-to-high wage occupations like computer programmers and data scientists, but is lower for both the lowest- and highest-paid roles. This likely reflects both the limits of current AI capabilities, as well as practical barriers to using the technology.

    Interesting, not really surprising, and nowhere near as entertaining as when Pornhub does it's annual introspection.