Kinda wish there was a deterministic, mostly terse, language to interact with computers
Ah, like some sort of "programming language"? A weird idea, but it could work!
When you see a thinking summary like "Now writing the function..."; the raw thinking is actually writing the function in its internal thinking. Occasionally, the summariser misses and you get to see the raw text from models like Opus.
You can also try an open weight LLM like Qwen3.6 and see something that probably resembles the shape of frontier model thinking in some loose way.
It's a shotgun approach to answering questions. If it's terse it might only mention 1 of 10 facts it could provide, and that might not be the one you're looking for. So they just say a fuck ton of words and are more likely to meet the needs of everyone asking your question. If they miss it you'll prompt it again and they have to perform a second pass of inference, which costs them more money.
Everything they (don't-)emit is partly for the benefit of the next run, a clue or signpost (not-)present. Documents may be wordy as a form of concept-emphasis and consistent direction as opposed to a form of communication to the human.
So a terse effect may require a layer of indirection and trickery: There's a verbose document (you'll still be charged for the tokens) with portions that are not "acted out" to the end-user. Imagine a film-noir movie script, where AI Detective's "I know Mickey couldn't have done it because" monologue is hidden, versus their terse dialogue "Too early to say."
That's an idea. Bladerunner+noir like film, AIs hunt somebody on the run, an old human detective tries to catch them first (to save them or to kill them first, whatever's your propaganda). We're shown AIs constantly rambling scenarios and bruteforcing leads. Our old detective guy on the other hand barely says anything, spends most time drinking, smoking and talking to people, but somehow stays ahead.
[0] Pedantically: The fictional characters humans perceive inside the text of documents generated by LLMs, where one is described as an AI and the other is described as a Dave.
On a practical level, I believe more developers and adopters need these magic tricks spoiled, because otherwise they'll build a lot of important stuff on top of the idea that magic-is-real, leading to various forms of suffering in the long run.
That said, I'm no LLM / math academic, so if I'm totally wrong on the the trick, I'd like to know what needs revising.
They don't know how to e terse. I've tried that a few months ago and gave up because the responses were almost incomprehensible!
How does it affect agent accuracy?
100% this. Too many people believes that chatbots "think". Text is all they do, it is impressive, but they need the text to generate more text. They being verbose is the point.