Earlier quoted context omitted.
All these "intelligence" benchmarks miss something extremely important when using an LLM in a code-agent harness: How it communicates with you about what it did. Opus-5 is practically unusable (for complex tasks) in this sense - its updates are voluminous, and dense with cryptic language (there are numerous reddit threads complaining about this, so it's not just me). I often have to ask it to re-state concisely in pl…
GPT 5.6 has similar language quirks that makes its comments nearly unusable. I wonder if this is a side effect of MoE models — they can write excellent prose, but not simultaneously with writing code.
And writing doesn’t have validators like code so you can’t really scale it in the same way