That model at full flog seems to be very close to the asymptote for the LLM paradigm on coding
benreesman on Hacker News
In the thread “How large are large language models?”, replying to this comment
Helped: High temperature and long churn time allow for deep, original coding assistance.
Got in the way: Cannot delegate entire job; not an expert programmer; makes trivial typographical errors.
I'm toying with the phrase "precedented originality" as a way to describe the optimal division of labor when I work with Opus 4 running hot (which is the first one where I consistently come out ahead by using it). That model at full flog seems to be very close to the asymptote for the LLM paradigm on coding: they've really pulled out all the stops (the temperature is so high it makes trivial typographical errors, it will discuss just about anything, it will churn for 10, 20, 30 seconds to first token via API). Its good enough that it has changed my mind about the fundamental utility of LLMs for coding in non-Javascript complexity regimes. …