Fair critique, ill rewrite (this is just my personal pet project but thought was cool to share here)

I am on my own GPUs so thought it be cool to reduce token output. However, biggest issue is that you can charge per latent loop as a token i guess. I wanted a knob to keep thinking going until it was sure it was done.

you lose CoT monitorability which is a big issue since models have become quite powerful and also often deceptive but i do think that efficiency pressure will keep nudging us toward latent reasoning. looped language models are an active research area. but imagine not being able to monitor mythos' thoughts as it's working through a national security need...

Presumably you could decode the chain of thought from the latent representation though.

I can do that, main difference seems to be this ablation seems to over think simple prompts, but can do a proper eval (might take 2-3 days)

Tbh I appreciate knowing immediately that no effort was put into writing an article and that no effort is worth being put into reading it. I genuinely (hah) think it's good that different llms have distinct voices when writing. It doesn't bother me when using it for coding because ok that's just how Claude talks, and in the wild seeing folks present claudeslop as their own writing is a really nice really quick quality/effort signal. Adding another step to the prompt doesn't mean whoever generated this report actually out any more real effort into making sure this is any good

In my view, it's not so much the writing style itself as the lack of 'taste'. Text that clearly seems AI-written has a flat level of exuberance that's just exhausting, kind of like a written version of the 'loudness war'.

Without some kind of dynamic range, I find myself having to do a lot of work to infer what points are truly important versus what are at best interesting implementation details.

You're right to push back on that. The honest truth is that the slop is load-bearing.