Comment by AspireOne
14 days ago
Yes, that's the reason. Anthropic said as much in their statement (they said that there's a tension between writing human-understandable prose and prose optimal for other agents to read).
As a side note, I am kind of sad that basically all models nowadays are RLd to hell and back specifically for coding and deep reasoning, and as a result, they lack in creative writing, human-readable prose, and even general knowledge and abilities (for example, qwen 3.8 27b is a beast for coding, but reportedly falls off the cliff in anything else). Gemini 4 Argon seems to be an example of what you get when you DON'T do that - Google seems to be one of the only labs optimizing for general performance.
I also fear that models cannot be excellent in everything at the same time. I fear that there will always be a heavy tradeoff between what specific field the labs optimize for VS everything else. I don't know.
In my personal testing, Argon is exceptional at writing tasks. After a few simple eval loops of you correcting things into your own voice you can have it sound almost exactly like you.