Thread

1. Gareth321 · 1790064431 · focus · HN ↗

   OpenAI usage limits have been severely cut, and intelligence appears to be markedly declining, so I'm going to start trying these Chinese models seriously now. I don't mind if it takes longer. I just need the intelligence to predictably work the same way from day to day.

   1. unsupp0rted · 1790065693 · focus · HN ↗

      Same- I pay $200/mo for Codex but whereas I used to get a week's work out of a weekly limit, now I get roughly 1~2 days.

      I've stopped using Astra entirely and remain on Sol orchestrating Luna Xhigh, but it's still not nearly a week's usage for a week's allotment.

      And even then, whenever a new model is about to come out, it feels like the model I'm using is being dumbed down substantially.

      I have no evidence for this and can have no evidence for this, but I can vote with my wallet regardless.

      1. dangoodmanUT · 1790079915 · focus · HN ↗

         see that's interesting, because I'm prompting all day and I usually end up with 15-25% by the end of the week. I'm using Astra xhigh exclusively

         1. viccis · 1790092709 · focus · HN ↗

            People often use a bunch of subagents, poor context management (though Codex's tight context limits and constant compaction tend to mitigate this), a bunch of projects at once, etc., as well as not using workflows that do heavy planning once up front and then consult it rather than thinking endlessly about what to do during the implementation part.

            It's also the case that working on massive codebases is just a different beast. If they've been slopmining a monorepo for months with 200x, then their codebase is probably Lovecraftian at that point and requiring extensive effort to iterate on.

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