For Claude models at least, you can tell to just manually think in the output and it works fine. I do it reguralrly because for creative writing and summarization, they seem to believe they don't need to think at all, and get way worse results.

It is quite likely that the intermediate tokens don’t have ‘semantic import’[0]

There are methods like Habitual Reasoning Distillation or Inverted Reasoning Traces [1] that can help.

While there are reasons to hide the intermediate tokens from a IP protection stand point, there is also a need to hide more effective and efficient generating that doesn’t fit the R1 claims of an aha moment that has been debunked, but is a consumer expectation.

While hidden intermediate tokens do increase the difficulty, it is not a from barrier in itself, especially as they are billed, given information about their length.

[0] https://arxiv.org/abs/2504.09762v4

[1] https://arxiv.org/abs/2603.07267

>such outrageous copyright infringement

Sarcasm, considering the source of their own training data?

FYI: model outputs are not protected by copyright.

Supposedly there are “jailbreaks” that expose considerably more of the thinking traces.

The companies that did copyright infringement and unethically scrapped data think that copyright infringement and unethically scrapping data is wrong and needs to be stopped.

Though only in particular situations, like when it’s done to them and not when they do it. Cause they have the power and are morally right and know better than you. And if you question this at all, well you’re a threat to American values and a supporter of the Chinese and leading to the break down of Democracy.

This isn’t a type of reasoning argument or manipulation tactic used by the rich throughout history to trick the naive and gullible masses or anything like that. Trust me, I’m rich and I’m morally right. /sarcasm