5 comments

  • ripbozo43 days ago
    Why do LLMs insist on putting "executive summaries" everywhere? Better yet, why do people not even bother to edit it out? No one would write that in a blog post about docker images.
    • morkalork43 days ago
      I saw a datascientist with an econ background compulsively write executive summaries in everything back before LLMs were big. It must be something to do with the content they consume in work and school that they are emulating.
    • sieabahlpark43 days ago
      [dead]
  • OutOfHere42 days ago
    GIL images are a complete non-starter. Anything older than 3.14 also is a non-starter. The article fails to do the one important thing which is to name a good nonGIL 3.14 image. If I can't get this, I might as well use a different language with real threading.
  • Terretta45 days ago
    AMD or Intel, no ARM&#x2F;aarch64? Not interested in those sweet Graviton 5s?<p><a href="https:&#x2F;&#x2F;www.theregister.com&#x2F;2025&#x2F;12&#x2F;04&#x2F;amazon_graviton_5&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.theregister.com&#x2F;2025&#x2F;12&#x2F;04&#x2F;amazon_graviton_5&#x2F;</a>
    • chews43 days ago
      No these are knuckle dragging finance types bruh... the fact that they aren&#x27;t using things like Cython for more performance is an indicator this isn&#x27;t Jump Trading.
  • Hnrobert4243 days ago
    With the advent of LLM coding tools, I wonder how much efficiency would be gained generating the code in a language that compiles and is natively multithreaded.
  • qezz43 days ago
    Could&#x27;ve been an interesting research, but instead it&#x27;s an output from an LLM, which almost everyone can generate on their own.<p>Other articles by this author (during 2025) seems to be only about AI, AI, and a bit more AI.