Thread

1. onomojo · 1786044657 · focus · HN ↗

   Any benchmark showing Opus 5 as the best just loses credibility for me. Anyone who's actually used Opus 5 daily knows what I'm talking about.

   1. visarga · 1786045080 · focus · HN ↗

      Sent to solve one task, came back with half of it solved and 2 more problems.

      1. capnjazz · 1786047074 · focus · HN ↗

         "One thing worth your attention", "Two things worth knowing", "One thing to eyeball"

         1. greenchair · 1786049291 · focus · HN ↗

            This is driving me crazy. opus 4.8 did not do this to me not (at least during pre-5.0 timeframe). Feels like the new cycle is one step forward, two steps back.
         2. FridgeSeal · 1786052451 · focus · HN ↗

            And one of them is always something just completely out of scope and the other is something obvious it missed.

            “One thing worth your attention, if you were to detonate a pipe bomb in your house, it would have a negative effect on your living room”.

         3. ethin · 1786060498 · focus · HN ↗

            I don't use Claude code, just Claude web, and I get this all the time. Or (since I have it push me to actually think) it will ask me some question in our back-and-forth, and then right after it'll provide the answer. As a "hint". Like come on
      2. vunderba · 1786055134 · focus · HN ↗

         What really enrages me is the amount of effort it puts into justifying weaseling out of work. (THAT'S MY JOB!)

         It will do everything it can to defer or push it off, to the point where I’ve had to add multiple imperative directives to the AGENTS file telling it, in no uncertain terms, not to defer tasks under any circumstances.

         1. cyanydeez · 1786059353 · focus · HN ↗

            sounds like someone needs a local llm.

            1. vunderba · 1786059988 · focus · HN ↗

               Oh I do. Headless 128GB RAM machine serving llama.cpp with a number of local models that I use on a daily basis.

               • Qwen3-VL picks up new images in a NAS, auto captions and adds the text descriptions as a hidden EXIF layer into the image, which is used for fast search and organization in conjunction with a Qdrant vector database.

               • Gemma3:27b is used for personal translation work (mostly English and Chinese).

               • Some small 8b models (like llama3.1) for sentiment analysis on text.

               But haven't really tried using local LLMs in conjunction with agentic harnesses yet.

               1. cyanydeez · 1786060995 · focus · HN ↗

                  recommend opencode w/qwen 35B or 27B with MTP.

                  My secret sauce is to use LLAMAcpp's reasoning-budget and reasoning-message that trigger cut off to overthinking with a message that says to either us subagents or compress the context. opencode's dynamic context pruning plugin can get you pretty far into the stratosphere.

                  1. vunderba · 1786061310 · focus · HN ↗

                     > My secret sauce is to use LLAMAcpp's reasoning-budget and reasoning-message that trigger cut off to overthinking with a message that says to either us subagents or compress the context

                     Thanks for the tip - I like this a lot. I remember having to do a lot of tweaking to curtail Qwen QwQ-32b when it would go down an endless psychotic recursive reasoning loops as part of its "chain of reasoning."

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